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Kobayashi A, Hirano K, Okuda T, Ikenoue T, Yokoo T, Fukuma S. Estimating the prevalence of chronic kidney disease in the older population using health screening data in Japan. Clin Exp Nephrol 2025; 29:276-282. [PMID: 39368014 PMCID: PMC11893708 DOI: 10.1007/s10157-024-02570-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 09/16/2024] [Indexed: 10/07/2024]
Abstract
BACKGROUND In aging societies, the prevalence of chronic kidney disease (CKD) is expected to increase but may be underestimated because many asymptomatic patients remain undiagnosed. This study aimed to estimate the CKD prevalence among the general older population in Japan. METHODS This cross-sectional study used health screening data from the Japan Health Insurance Association collected between April 2014 and March 2023. Data from older people aged 65-90 years who underwent renal function screening for estimated glomerular filtration rate (eGFR) and urine protein tests were analyzed. CKD was defined as eGFR < 60 mL/min/1.73 m2 or proteinuria ≥ 1 + . Inverse probability weighting was used to account for the selection bias. The variables used for weighting were age, sex, insurance status, and the number of previous screenings. RESULTS Among 2.98 million older individuals, 588,809 (19.7%) had undergone screening (median [IQR] age, 69.9 [67.9-76.2] years, 337,862 women [57.4%]). Regarding the weighted CKD prevalence, 25.3% of the individuals aged 65-90 years had CKD; 11.8% of those aged 65-75 years and 34.6% of those aged 75 years and over showed an increase in prevalence with age. Among the patients with CKD, over half exhibited mild renal dysfunction without proteinuria. Hypertension and diabetes were common comorbidities in older patients with CKD. CONCLUSIONS This cross-sectional study revealed that the weighted prevalence of CKD in the older population aged 65-90 years was high (one in four individuals), indicating that it increases with age. Further studies are required to examine the clinical significance of these findings.
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Affiliation(s)
- Arisa Kobayashi
- Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8057, Japan
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Keita Hirano
- Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8057, Japan
| | - Tadahisa Okuda
- Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8057, Japan
- Department of Health Data Science, Tokyo Medical University, Tokyo, Japan
| | - Tatsuyoshi Ikenoue
- Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8057, Japan
- Data Science and AI Innovation Research Promotion Center, Shiga University, Hikone, Japan
| | - Takashi Yokoo
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Shingo Fukuma
- Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto-Shi, Kyoto, 606-8057, Japan.
- Department of Epidemiology Infectious Disease Control and Prevention, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
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Park Y, Hwang WM. Management of Elderly Patients with Chronic Kidney Disease. Yonsei Med J 2025; 66:63-74. [PMID: 39894039 PMCID: PMC11790406 DOI: 10.3349/ymj.2024.0178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 09/23/2024] [Accepted: 10/08/2024] [Indexed: 02/04/2025] Open
Abstract
Chronic kidney disease (CKD) is highly prevalent among elderly patients, and as the global population ages, the number of elderly patients with CKD is increasing. Elderly patients require additional considerations beyond those required for their younger counterparts, such as comorbidities, frailty, and geriatric syndromes. In this review, we primarily focus on these additional considerations specific to elderly patients and discuss the assessment of CKD and its management strategies, including blood pressure and glycemic control; dyslipidemia, anemia, and electrolyte and metabolic acidosis management; and medication dosage, among others, as well as polypharmacy and nonpharmacological management. Furthermore, the concept of conservative kidney management and the practical recommendations of the Korean Society of Geriatric Nephrology for elderly patients with end-stage kidney disease requiring dialysis therapy are discussed. In particular, the aging rate in Korea is exceptionally high; therefore, it is crucial to pay more attention to the increase in elderly patients with CKD. A more palliative approach, rather than intensive treatment strategies, may be necessary for these patients. In a world with an abundance of information, shared decision-making with patients is of great importance, and it is essential to keep in mind that this holds true for elderly patients as well.
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Affiliation(s)
- Yohan Park
- Division of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Korea
| | - Won Min Hwang
- Division of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Korea.
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Angioi A, Cheungpasitporn W, Lepori N. Management of immune-mediated glomerular diseases in the elderly. Ren Fail 2024; 46:2411848. [PMID: 39378123 PMCID: PMC11463022 DOI: 10.1080/0886022x.2024.2411848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 09/25/2024] [Accepted: 09/27/2024] [Indexed: 10/10/2024] Open
Abstract
The management of immune-mediated nephropathies in the elderly presents unique challenges due to age-related physiological changes, comorbidities, and frailty. This review addresses the clinical workup, diagnostic evaluation, and treatment strategies for this rapidly growing patient population. We highlight the inadequacies of current classification systems and the lack of evidence-based guidelines tailored to individuals ≥75 years. The review discusses the specific considerations in diagnosing and treating common conditions such as minimal change disease, focal and segmental glomerulosclerosis, membranous nephropathy, ANCA-associated vasculitis, infection-related and post-infectious glomerulonephritis, and anti-GBM disease. Managing these diseases requires a nuanced approach due to age-related changes in the immune system and the presence of multiple comorbidities. Immunosuppressive therapy, including corticosteroids, rituximab, and cyclophosphamide, remains a cornerstone of treatment, but the choice and dosage of drugs must be carefully balanced to avoid severe side effects. Comorbidity management, regular monitoring of kidney function, and a patient-centered approach are crucial for improving outcomes and quality of life. A multidisciplinary team can provide comprehensive care, addressing all aspects of the patient's health. Supportive care, the role of kidney biopsy, and the balance between immunosuppressive therapy and the risk of complications are emphasized. Collaborative, individualized care approaches are recommended to improve outcomes and quality of life for elderly patients with immune-mediated kidney diseases. Future research should focus on including older patients in clinical trials to establish robust, age-specific guidelines.
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Affiliation(s)
- Andrea Angioi
- S.C.D.U. Nefrologia, Dialisi e Trapianto, ARNAS Brotzu, Cagliari, Italy
| | | | - Nicola Lepori
- S.C.D.U. Nefrologia, Dialisi e Trapianto, ARNAS Brotzu, Cagliari, Italy
- Dipartimento di Scienze Mediche e Sanità Pubblica, Università di Cagliari, Cagliari, Italy
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Guppy M, Thomas ET, Glasziou P, Clark J, Jones M, O'Hara DV, Doust J. Rate of decline in kidney function with age: a systematic review. BMJ Open 2024; 14:e089783. [PMID: 39609029 PMCID: PMC11603750 DOI: 10.1136/bmjopen-2024-089783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 10/22/2024] [Indexed: 11/30/2024] Open
Abstract
OBJECTIVE To determine the distribution of kidney function values as measured by glomerular filtration rate (GFR), and the rate of decline with age in male and female healthy subjects without pre-existing medical conditions. DESIGN Systematic review and structured synthesis. SEARCH SOURCES PubMed, Embase, Cochrane Central Register of Controlled Trials and Web of Science, from database inception to 25 October 2023. Unpublished studies were searched from clinical trial registries and the grey literature. SELECTION CRITERIA Observational cohort studies, including non-treatment arms of randomised, pseudorandomised and non-randomised controlled trials that assessed the age-related decline in kidney function over time. MAIN OUTCOME MEASURES Primary outcomes were rate of change of kidney function over time (absolute and relative change) and rate of change of kidney function with age. Secondary outcomes included rate of change of kidney function compared with baseline GFR, gender, ethnicity and proportion of participants >60 years defined as having chronic kidney disease. DATA COLLECTION AND ANALYSIS Two review authors independently screened studies for inclusion, extracted data and assessed risk of bias. Data could not be pooled because of significant heterogeneity. Instead, a descriptive analysis was used to synthesise results. RESULTS 12 studies between 1958 and 2021 reported the decline rate of kidney function in healthy individuals: six prospective cohort studies, four retrospective cohort studies and two randomised controlled clinical trials, which included 129 359 healthy participants (range from 15 to 46 682) and ranged from 2 to 23 years duration. Annual decline rates ranged from -0.24 to -3.60 mL/min/1.73 m2/year (-0.37 to -1.07 in subjects without hypertension). Results were mixed as to whether decline rates sped up or slowed down with age, and whether decline rates differed between women and men, with studies showing conflicting results. This study was unable to determine the decline rates in different ethnicities. CONCLUSIONS This study is the first systematic review to investigate the longitudinal decline in kidney function with age in healthy individuals. The normal decline rate could be considered between -0.37 and -1.07 mL/min/1.73 m2/year in healthy adults without hypertension. Kidney function decline rates in healthy adults may be helpful to clinicians anticipating patients' kidney trajectory and determining whether chronic kidney disease-specific care is required. PROSPERO REGISTRATION NUMBER CRD42023096888.
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Affiliation(s)
- Michelle Guppy
- Institute for Evidence-Based Healthcare, Bond University Faculty of Health Sciences and Medicine, Gold Coast, Queensland, Australia
- School of Rural Medicine, University of New England, Armidale, New South Wales, Australia
| | | | - Paul Glasziou
- Institute for Evidence-Based Healthcare, Bond University Faculty of Health Sciences and Medicine, Gold Coast, Queensland, Australia
| | - Justin Clark
- Institute for Evidence-Based Healthcare, Bond University Faculty of Health Sciences and Medicine, Gold Coast, Queensland, Australia
| | - Mark Jones
- Institute for Evidence-Based Healthcare, Bond University Faculty of Health Sciences and Medicine, Gold Coast, Queensland, Australia
| | - Daniel Vincent O'Hara
- Kidney Health, NHMRC Clinical Trials Centre, Camperdown, New South Wales, Australia
- Department of Renal Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Jenny Doust
- Australian Women and Girls Health Research (AWaGHR) Centre, School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
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5
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Okada A, Aso S, Kurakawa KI, Inoue R, Watanabe H, Sasabuchi Y, Yamauchi T, Yasunaga H, Kadowaki T, Yamaguchi S, Nangaku M. Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 m 2. Clin Kidney J 2024; 17:sfae321. [PMID: 39564392 PMCID: PMC11574387 DOI: 10.1093/ckj/sfae321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Indexed: 11/21/2024] Open
Abstract
Background Although the kidney failure risk equation (KFRE), a well-known predictive model for predicting dialysis dependency, is useful, it remains unclear whether the addition of biomarker changes to the KFRE model in patients with an estimated glomerular filtration rate (eGFR) <30 ml/min/1.73 m2 will improve its predictive value. Methods We retrospectively identified adults with eGFR <30 ml/min/1.73 m2 without dialysis dependency, and available health checkup data for two successive years using a large Japanese claims database (DeSC, Tokyo, Japan). We dichotomized the entire population into a training set (50%) and a validation set (the other half). To assess the incremental value in the predictive ability for dialysis dependency by the addition of changes in eGFR and proteinuria, we calculated the difference in the C-statistics and net reclassification index (NRI). Results We identified 4499 individuals and observed 422 individuals (incidence of 45.2 per 1000 person-years) who developed dialysis dependency during the observation period (9343 person-years). Adding biomarker changes to the KFRE model improved C-statistics from 0.862 to 0.921, with an improvement of 0.060 (95% confidence intervals (CI) of 0.043-0.076, P < .001). The corresponding NRI was 0.773 (95% CI: 0.637-0.908), with an NRI for events of 0.544 (95% CI of 0.415-0.672) and NRI for non-events of 0.229 (95% CI of 0.186-0.272). Conclusions The KFRE model was improved by incorporating yearly changes in its components. The added information may help clinicians identify high-risk individuals and improve their care.
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Affiliation(s)
- Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shotaro Aso
- Department of Real-world Evidence, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kayo Ikeda Kurakawa
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Reiko Inoue
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideaki Watanabe
- Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Tokyo, Japan
| | - Yusuke Sasabuchi
- Department of Real-world Evidence, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Tokyo, Japan
| | - Takashi Kadowaki
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Toranomon Hospital, Tokyo, Japan
| | - Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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6
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Herold JM, Wiegrebe S, Nano J, Jung B, Gorski M, Thorand B, Koenig W, Zeller T, Zimmermann ME, Burkhardt R, Banas B, Küchenhoff H, Stark KJ, Peters A, Böger CA, Heid IM. Population-based reference values for kidney function and kidney function decline in 25- to 95-year-old Germans without and with diabetes. Kidney Int 2024; 106:699-711. [PMID: 39084259 DOI: 10.1016/j.kint.2024.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 06/04/2024] [Accepted: 06/24/2024] [Indexed: 08/02/2024]
Abstract
Understanding normal aging of kidney function is pivotal to help distinguish individuals at particular risk for chronic kidney disease. Glomerular filtration rate (GFR) is typically estimated via serum creatinine (eGFRcrea) or cystatin C (eGFRcys). Since population-based age-group-specific reference values for eGFR and eGFR-decline are scarce, we aimed to provide such reference values from population-based data of a wide age range. In four German population-based cohorts (KORA-3, KORA-4, AugUR, DIACORE), participants underwent medical exams, interview, and blood draw up to five times within up to 25 years. We analyzed eGFRcrea and eGFRcys cross-sectionally and longitudinally (12,000 individuals, age 25-95 years). Cross-sectionally, we found age-group-specific eGFRcrea to decrease approximately linearly across the full age range, for eGFRcys up to the age of 60 years. Within age-groups, there was little difference by sex or diabetes status. Longitudinally, linear mixed models estimated an annual eGFRcrea decline of -0.80 [95% confidence interval -0.82, -0.77], -0.79 [-0.83, -0.76], and -1.20 mL/min/1.73m2 [-1.33, -1.08] for the general population, "healthy" individuals, or individuals with diabetes, respectively. Reference values for eGFR using cross-sectional data were shown as percentile curves for "healthy" individuals and for individuals with diabetes. Reference values for eGFR-decline using longitudinal data were presented as 95% prediction intervals for "healthy" individuals and for individuals with diabetes, obesity, and/or albuminuria. Thus, our results can help clinicians to judge eGFR values in individuals seen in clinical practice according to their age and to understand the expected range of annual eGFR-decline based on their risk profile.
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Affiliation(s)
- Janina M Herold
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Simon Wiegrebe
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany
| | - Jana Nano
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Bettina Jung
- Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany; KfH Kidney Center Traunstein, Traunstein, Germany
| | - Mathias Gorski
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Tanja Zeller
- University Heart and Vascular Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Hamburg, Germany
| | - Martina E Zimmermann
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Ralph Burkhardt
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Bernhard Banas
- Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Carsten A Böger
- Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany; KfH Kidney Center Traunstein, Traunstein, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
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Kishi S, Kadoya H, Kashihara N. Treatment of chronic kidney disease in older populations. Nat Rev Nephrol 2024; 20:586-602. [PMID: 38977884 DOI: 10.1038/s41581-024-00854-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2024] [Indexed: 07/10/2024]
Abstract
As the world population ages, an expected increase in the prevalence of chronic kidney disease (CKD) among older individuals will pose a considerable challenge for health care systems in terms of resource allocation for disease management. Treatment strategies for older patients with CKD should ideally align with those applied to the general population, focusing on minimizing cardiovascular events and reducing the risk of progression to kidney failure. Emerging therapies, such as SGLT-2 inhibitors and GLP-1 receptor agonists, hold promise for the effective management of CKD in older individuals. In addition, non-pharmacological interventions such as nutritional and exercise therapies have a crucial role. These interventions enhance the effects of pharmacotherapy and, importantly, contribute to the maintenance of cognitive function and overall quality of life. Various factors beyond age and cognitive function must be taken into account when considering kidney replacement therapy for patients with kidney failure. Importantly, all treatment options, including dialysis, transplantation and conservative management approaches, should be tailored to the individual through patient-centred decision-making. The dynamic integration of digital technologies into medical practice has the potential to transform the management of CKD in the aging population.
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Affiliation(s)
- Seiji Kishi
- Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Japan
| | - Hiroyuki Kadoya
- Department of General Geriatric Medicine, Kawasaki Medical School, Kurashiki, Japan
| | - Naoki Kashihara
- Department of Medical Science, Kawasaki Medical School, Kurashiki, Japan.
- Kawasaki Geriatric Medical Center, Kawasaki Medical School, Okayama, Japan.
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Shi L, Xue Y, Yu X, Wang Y, Hong T, Li X, Ma J, Zhu D, Mu Y. Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e54429. [PMID: 39213031 PMCID: PMC11399742 DOI: 10.2196/54429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/30/2023] [Accepted: 05/16/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is a significant long-term complication of diabetes and is a primary contributor to end-stage kidney disease. OBJECTIVE This study aimed to report comprehensive nationwide data on the prevalence, screening, and awareness rates of CKD in Chinese patients with type 2 diabetes, along with associated risk factors. METHODS Baseline data analysis of the ongoing prospective, observational IMPROVE study was conducted. The study cohort comprised patients who had been diagnosed with type 2 diabetes more than 12 months prior, received at least 1 hypoglycemic medication, and were aged ≥18 years. The participants completed questionnaires and underwent laboratory assessments, including blood and urine samples. The data encompassed patient demographics, medical history, concurrent medications, and comorbidities. Comprehensive evaluations involved physical examinations, urinary albumin-to-creatinine ratio (UACR), estimated glomerular filtration rate (eGFR), glycated hemoglobin (HbA1c), fasting blood glucose, 2-hour postprandial blood glucose, fasting blood lipid profile, and urinalysis. Descriptive statistics were applied for data interpretation, and logistic regression analyses were used to identify the CKD-associated risk factors in patients with type 2 diabetes. RESULTS A national study from December 2021 to September 2022 enlisted 9672 participants with type 2 diabetes from 45 hospitals that had endocrinology departments. The enrollees were from diverse regions in China, as follows: central (n=1221), east (n=3269), south (n=1474), north (n=2219), and west (n=1489). The prevalence, screening, and awareness rates of CKD among patients with type 2 diabetes were 31% (2997/9672), 27% (810/2997), and 54.8% (5295/9672), respectively. Multivariate binary regression analysis revealed that the CKD risk factors were screening, awareness, smoking, age, diabetes duration, concurrent antihypertensive and microcirculation medications, diabetic complications (foot, retinopathy, and neuropathy), hypertension, elevated low-density lipoprotein (LDL) cholesterol, and suboptimal glycemic control. Subgroup analysis highlighted an increased CKD prevalence among older individuals, those with prolonged diabetes durations, and residents of fourth-tier cities. Residents of urban areas that had robust educational and economic development exhibited relatively high awareness and screening rates. Notably, 24.2% (1717/7107) of patients with an eGFR ≥90 mL/min/1.73 m2 had proteinuria, whereas 3.4% (234/6909) who had a UACR <30 mg/g presented with an eGFR <60 mL/min/1.73 m2. Compared with patients who were cognizant of CKD, those who were unaware of CKD had increased rates of HbA1c ≥7%, total cholesterol >5.18 μmol/L, LDL cholesterol >3.37 μmol/L, BMI ≥30 kg/m2, and hypertension. CONCLUSIONS In a Chinese population of adults with type 2 diabetes, the CKD prevalence was notable, at 31%, coupled with low screening and awareness rates. Multiple risk factors for CKD have been identified. TRIAL REGISTRATION ClinicalTrials.gov NCT05047471; https://clinicaltrials.gov/study/NCT05047471.
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Affiliation(s)
- Lixin Shi
- Department of Endocrinology and Metabolism, Guiqian International General Hospital, Guiyang, China
| | - Yaoming Xue
- Department of Endocrinology and Metabolism, Southern Medical University Nanfang Hospital, Guangzhou, China
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medcine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yangang Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Medical College Qingdao University, Qingdao, China
| | - Tianpei Hong
- Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China
| | - Xiaoying Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Jianhua Ma
- Department of Endocrinology and Metabolism, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Dalong Zhu
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
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Lamb EJ, Barratt J, Brettell EA, Cockwell P, Dalton RN, Deeks JJ, Eaglestone G, Pellatt-Higgins T, Kalra PA, Khunti K, Loud FC, Ottridge RS, Potter A, Rowe C, Scandrett K, Sitch AJ, Stevens PE, Sharpe CC, Shinkins B, Smith A, Sutton AJ, Taal MW. Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study. Health Technol Assess 2024; 28:1-169. [PMID: 39056437 PMCID: PMC11331378 DOI: 10.3310/hyhn1078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2024] Open
Abstract
Background Estimation of glomerular filtration rate using equations based on creatinine is widely used to manage chronic kidney disease. In the UK, the Chronic Kidney Disease Epidemiology Collaboration creatinine equation is recommended. Other published equations using cystatin C, an alternative marker of kidney function, have not gained widespread clinical acceptance. Given higher cost of cystatin C, its clinical utility should be validated before widespread introduction into the NHS. Objectives Primary objectives were to: (1) compare accuracy of glomerular filtration rate equations at baseline and longitudinally in people with stage 3 chronic kidney disease, and test whether accuracy is affected by ethnicity, diabetes, albuminuria and other characteristics; (2) establish the reference change value for significant glomerular filtration rate changes; (3) model disease progression; and (4) explore comparative cost-effectiveness of kidney disease monitoring strategies. Design A longitudinal, prospective study was designed to: (1) assess accuracy of glomerular filtration rate equations at baseline (n = 1167) and their ability to detect change over 3 years (n = 875); (2) model disease progression predictors in 278 individuals who received additional measurements; (3) quantify glomerular filtration rate variability components (n = 20); and (4) develop a measurement model analysis to compare different monitoring strategy costs (n = 875). Setting Primary, secondary and tertiary care. Participants Adults (≥ 18 years) with stage 3 chronic kidney disease. Interventions Estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration and Modification of Diet in Renal Disease equations. Main outcome measures Measured glomerular filtration rate was the reference against which estimating equations were compared with accuracy being expressed as P30 (percentage of values within 30% of reference) and progression (variously defined) studied as sensitivity/specificity. A regression model of disease progression was developed and differences for risk factors estimated. Biological variation components were measured and the reference change value calculated. Comparative costs of monitoring with different estimating equations modelled over 10 years were calculated. Results Accuracy (P30) of all equations was ≥ 89.5%: the combined creatinine-cystatin equation (94.9%) was superior (p < 0.001) to other equations. Within each equation, no differences in P30 were seen across categories of age, gender, diabetes, albuminuria, body mass index, kidney function level and ethnicity. All equations showed poor (< 63%) sensitivity for detecting patients showing kidney function decline crossing clinically significant thresholds (e.g. a 25% decline in function). Consequently, the additional cost of monitoring kidney function annually using a cystatin C-based equation could not be justified (incremental cost per patient over 10 years = £43.32). Modelling data showed association between higher albuminuria and faster decline in measured and creatinine-estimated glomerular filtration rate. Reference change values for measured glomerular filtration rate (%, positive/negative) were 21.5/-17.7, with lower reference change values for estimated glomerular filtration rate. Limitations Recruitment of people from South Asian and African-Caribbean backgrounds was below the study target. Future work Prospective studies of the value of cystatin C as a risk marker in chronic kidney disease should be undertaken. Conclusions Inclusion of cystatin C in glomerular filtration rate-estimating equations marginally improved accuracy but not detection of disease progression. Our data do not support cystatin C use for monitoring of glomerular filtration rate in stage 3 chronic kidney disease. Trial registration This trial is registered as ISRCTN42955626. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 11/103/01) and is published in full in Health Technology Assessment; Vol. 28, No. 35. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Edmund J Lamb
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Jonathan Barratt
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Elizabeth A Brettell
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Paul Cockwell
- Renal Medicine, Queen Elizabeth Hospital Birmingham and Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - R Nei Dalton
- WellChild Laboratory, Evelina London Children's Hospital, St. Thomas' Hospital, London, UK
| | - Jon J Deeks
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Gillian Eaglestone
- Kent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Kent, UK
| | | | - Philip A Kalra
- Department of Renal Medicine, Salford Royal Hospital Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | | | - Ryan S Ottridge
- Birmingham Clinical Trials Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Aisling Potter
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Ceri Rowe
- Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK
| | - Katie Scandrett
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Alice J Sitch
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Paul E Stevens
- Kent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Kent, UK
| | - Claire C Sharpe
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Bethany Shinkins
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Alison Smith
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Andrew J Sutton
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Maarten W Taal
- Department of Renal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
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10
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Murofushi T, Yagi T, Tsuji D, Furushima D, Fujikura T, Itoh K, Kawakami J. Changes in estimated glomerular filtration rate in patients administered proton pump inhibitors: a single-center cohort study. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:4927-4938. [PMID: 38170305 DOI: 10.1007/s00210-023-02890-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024]
Abstract
Proton pump inhibitor (PPI) use may be associated with renal dysfunction. Renal dysfunction in PPI users requires evaluation of development and progression risks simultaneously, using estimated glomerular filtration rate (eGFR) slope, which indicates changes in eGFR per year. To the best of our knowledge, no studies have evaluated eGFR slope in PPI users. This study investigated the association between PPI use and renal dysfunction using eGFR slope. A single-center cohort study was conducted using the health records data at Hamamatsu University Hospital in Japan. Participants were defined as first users of acid-suppressing drugs (PPIs or Histamine H2 receptor antagonists (H2RAs)) from 2010 to 2021 and continuously prescribed for ≥ 90 days. The H2RA group was used for the propensity-score matching (PSM) to the PPI group to minimize the effects of confounders. The eGFR slope was estimated using a linear mixed effects model. Participants were stratified by baseline eGFR and age, respectively, as subgroup analyses. A total of 4,649 acid-suppressing drug users met the inclusion criteria, including 950 taking H2RAs and 3,699 PPIs. After PSM, 911 patients were assigned to each group. The eGFR slopes of the PPI and H2RA users were -4.75 (95% CI: -6.29, -3.20) and -3.40 (-4.38, -2.42), respectively. The difference between the groups was not significant. Significant declines in eGFR were observed with PPIs with baseline eGFR ≥ 90 and age < 65. PPI use for ≥ 90 days may hasten eGFR decline compared to H2RA use, especially in patients with eGFR ≥ 90 or age < 65.
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Affiliation(s)
- Takuma Murofushi
- Department of Clinical Pharmacology and Genetics, University of Shizuoka, Shizuoka, Japan
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan
| | - Tatsuya Yagi
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan.
| | - Daiki Tsuji
- Department of Clinical Pharmacology and Genetics, University of Shizuoka, Shizuoka, Japan
| | - Daisuke Furushima
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Tomoyuki Fujikura
- First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kunihiko Itoh
- Department of Clinical Pharmacology and Genetics, University of Shizuoka, Shizuoka, Japan
| | - Junichi Kawakami
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-Ku, Hamamatsu, 431-3192, Japan
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11
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Sesa-Ashton G, Nolde JM, Muente I, Carnagarin R, Macefield VG, Dawood T, Lambert EA, Lambert GW, Walton A, Esler MD, Schlaich MP. Long-Term Blood Pressure Reductions Following Catheter-Based Renal Denervation: A Systematic Review and Meta-Analysis. Hypertension 2024; 81:e63-e70. [PMID: 38506059 DOI: 10.1161/hypertensionaha.123.22314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Renal denervation is a recognized adjunct therapy for hypertension with clinically significant blood pressure (BP)-lowering effects. Long-term follow-up data are critical to ascertain durability of the effect and safety. Aside from the 36-month follow-up data available from randomized control trials, recent cohort analyses extended follow-up out to 10 years. We sought to analyze study-level data and quantify the ambulatory BP reduction of renal denervation across contemporary randomized sham-controlled trials and available long-term follow-up data up to 10 years from observational studies. METHODS A systematic review was performed with data from 4 observational studies with follow-up out to 10 years and 2 randomized controlled trials meeting search and inclusion criteria with follow-up data out to 36 months. Study-level data were extracted and compared statistically. RESULTS In 2 contemporary randomized controlled trials with 36-month follow-up, an average sham-adjusted ambulatory systolic BP reduction of -12.7±4.5 mm Hg from baseline was observed (P=0.05). Likewise, a -14.8±3.4 mm Hg ambulatory systolic BP reduction was found across observational studies with a mean long-term follow-up of 7.7±2.8 years (range, 3.5-9.4 years; P=0.0051). The observed reduction in estimated glomerular filtration rate across the long-term follow-up was in line with the predicted age-related decline. Antihypertensive drug burden was similar at baseline and follow-up. CONCLUSIONS Renal denervation is associated with a significant and clinically meaningful reduction in ambulatory systolic BP in both contemporary randomized sham-controlled trials up to 36 months and observational cohort studies up to 10 years without adverse consequences on renal function.
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Affiliation(s)
- Gianni Sesa-Ashton
- Human Neurotransmitter and Neurovascular Hypertension & Kidney Diseases Laboratories (G.S.-A., E.A.L., G.W.L., M.D.E., M.P.S.), Baker Heart and Diabetes Institute, Melbourne Australia
- Human Autonomic Neurophysiology Laboratory (G.S.-A., V.G.M., T.D.), Baker Heart and Diabetes Institute, Melbourne Australia
- Department of Neuroscience, Monash University, Melbourne Australia (G.S.-A., V.G.M., T.D.)
| | - Janis M Nolde
- Dobney Hypertension Centre, Medical School - Royal Perth Hospital Unit and RPH Research Foundation, The University of Western Australia, Australia (J.M.N., I.M., R.C., M.P.S.)
| | - Ida Muente
- Dobney Hypertension Centre, Medical School - Royal Perth Hospital Unit and RPH Research Foundation, The University of Western Australia, Australia (J.M.N., I.M., R.C., M.P.S.)
| | - Revathy Carnagarin
- Dobney Hypertension Centre, Medical School - Royal Perth Hospital Unit and RPH Research Foundation, The University of Western Australia, Australia (J.M.N., I.M., R.C., M.P.S.)
| | - Vaughan G Macefield
- Human Autonomic Neurophysiology Laboratory (G.S.-A., V.G.M., T.D.), Baker Heart and Diabetes Institute, Melbourne Australia
- Department of Neuroscience, Monash University, Melbourne Australia (G.S.-A., V.G.M., T.D.)
| | - Tye Dawood
- Human Autonomic Neurophysiology Laboratory (G.S.-A., V.G.M., T.D.), Baker Heart and Diabetes Institute, Melbourne Australia
- Department of Neuroscience, Monash University, Melbourne Australia (G.S.-A., V.G.M., T.D.)
| | - Elisabeth A Lambert
- Human Neurotransmitter and Neurovascular Hypertension & Kidney Diseases Laboratories (G.S.-A., E.A.L., G.W.L., M.D.E., M.P.S.), Baker Heart and Diabetes Institute, Melbourne Australia
- Iverson Health Innovation Research Institute & School of Health Sciences, Swinburne University of Technology, Melbourne, Australia (E.A.L., G.W.L.)
| | - Gavin W Lambert
- Human Neurotransmitter and Neurovascular Hypertension & Kidney Diseases Laboratories (G.S.-A., E.A.L., G.W.L., M.D.E., M.P.S.), Baker Heart and Diabetes Institute, Melbourne Australia
- Iverson Health Innovation Research Institute & School of Health Sciences, Swinburne University of Technology, Melbourne, Australia (E.A.L., G.W.L.)
| | - Antony Walton
- Department of Cardiology, Alfred Health, Melbourne, Vic, Australia (A.W., M.D.E.)
| | - Murray D Esler
- Human Neurotransmitter and Neurovascular Hypertension & Kidney Diseases Laboratories (G.S.-A., E.A.L., G.W.L., M.D.E., M.P.S.), Baker Heart and Diabetes Institute, Melbourne Australia
- Department of Cardiology, Alfred Health, Melbourne, Vic, Australia (A.W., M.D.E.)
| | - Markus P Schlaich
- Human Neurotransmitter and Neurovascular Hypertension & Kidney Diseases Laboratories (G.S.-A., E.A.L., G.W.L., M.D.E., M.P.S.), Baker Heart and Diabetes Institute, Melbourne Australia
- Dobney Hypertension Centre, Medical School - Royal Perth Hospital Unit and RPH Research Foundation, The University of Western Australia, Australia (J.M.N., I.M., R.C., M.P.S.)
- Department of Cardiology and Department of Nephrology, Royal Perth Hospital, WA, Australia (M.P.S.)
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12
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Ito J, Fukagawa M. Slope of the estimated glomerular filtration rate and its associated factors among individuals with chronic kidney disease in the general Japanese population. Clin Exp Nephrol 2024; 28:522-530. [PMID: 38340246 PMCID: PMC11116171 DOI: 10.1007/s10157-024-02466-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/17/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND To suppress the incidence of end-stage kidney disease, we need to identify chronic kidney disease (CKD) patients with a high risk of rapid decline in the estimated glomerular filtration rate (eGFR). However, the current status of eGFR slope and its associated factors in the Japanese population have not been fully elucidated. METHODS Among examinees aged 40-70 years in the 2014 Specific Health Checkup conducted by the National Health Insurance in Kobe, Japan (n = 61,985), we prospectively observed 7291 examinees with CKD stage G3 from 2014 to 2018. RESULTS Until 2018, 4221 examinees continued to undergo annual SHCs for a total of five checkups per subject and had available records of all necessary data. The median eGFR change was -0.22 ml/min/1.73 m2/year. Only 9.2% of those subjects showed rapid eGFR decline (faster than -2.0 ml/min/1.73 m2/year). Logistic regression analysis identified diabetes, smoking habits, high urinary protein levels, older age, high systolic blood pressure, and low serum low-density lipoprotein cholesterol levels as independent predictors for rapid eGFR decline. Hemoglobin A1c levels did not contribute to the eGFR slope in CKD stage-G3 subjects with diabetes and proteinuria. CONCLUSION Most Japanese CKD stage-G3 subjects had a very slow decline in eGFR. A small proportion of CKD individuals who have a predictive factor of rapid eGFR decline should receive considerable attention from a nephrologist.
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Affiliation(s)
- Jun Ito
- Faculty of Nursing, Hyogo University, 2301, Hiraokacho-Shinzaike, Kakogawa, Hyogo, 675-0195, Japan.
- Division of Nephrology, School of Medicine, International University of Health and Welfare, 4-3, Kozunomori, Narita, Chiba, 286-8686, Japan.
- Division of Nephrology, Endocrinology and Metabolism, School of Medicine, Tokai University, 143, Shimokasuya, Isehara, Kanagawa, 259-1193, Japan.
| | - Masafumi Fukagawa
- Division of Nephrology, Endocrinology and Metabolism, School of Medicine, Tokai University, 143, Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
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13
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Ko HJ, Ahn SK, Han S, Kim MJ, Na KR, Park H, Choi DE. The Factors Influencing Chronic Kidney Disease Incidence: Database from the Korean National Health Insurance Sharing Service (NHISS). J Clin Med 2024; 13:2164. [PMID: 38673437 PMCID: PMC11050717 DOI: 10.3390/jcm13082164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/27/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
Background: The global prevalence of chronic kidney disease (CKD) is increasing, with diabetes accounting for the highest proportion. We analyzed the influence of clinical factors on the incidence of CKD according to the renal function, primary focusing on patients with diabetes. Methods: We used the Sample Cohorts Database provided by the National Health Insurance Sharing Service (NHISS) in Korea. Participants aged ≥ 40 years who underwent a health checkup in 2009 were categorized into six groups based on their eGFR values (<60 mL/min, 60-89 mL/min, ≥90 mL/min) and the presence of diabetes. And all patients with CKD at 2009 screening were excluded. The participants were tracked from 2010 to 31 December 2019. The CKD incidence rate according to the eGFR values and the effect of the accompanying factors on CKD incidence were confirmed. Results: 148,089 people without CKD were analyzed. The CKD incidence rate was highest in those with eGFR < 60 mL/min with diabetes and lowest in those with eGFR ≥ 90 mL/min without diabetes. The CKD incidence rates were similar between the eGFR < 60 mL/min group without diabetes and the eGFR 60-89 mL/min group with diabetes. Compared to under 44 years of age, the hazard ratio of CKD incidence was 8 times higher in over 75 years of age. Men had a 1.7-fold higher risk of developing CKD than women. Current smoker, hypertension, dyslipidemia, myocardial infarction history, and atrial fibrillation and flutter increased the risk of CKD incidence. Age, diabetes, and baseline eGFR are important factors in the occurrence of CKD. As age increases, the risk of developing CKD in men increases compared to women. Conclusions: These results will be helpful in predicting risk groups for CKD and establishing strategies to lowering CKD incidence.
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Affiliation(s)
- Ho-Joon Ko
- Department of Nephrology, Chungnam National University Hospital, Daejeon 35015, Republic of Korea; (H.-J.K.); (S.H.)
| | - Soon-Ki Ahn
- Department of Preventive Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea;
| | - Suyeon Han
- Department of Nephrology, Chungnam National University Hospital, Daejeon 35015, Republic of Korea; (H.-J.K.); (S.H.)
| | - Moo-Jun Kim
- Department of Nephrology, Chungnam National University Sejong Hospital, Sejong 30099, Republic of Korea;
| | - Ki Ryang Na
- Department of Nephrology, Chungnam National University Hospital, Daejeon 35015, Republic of Korea; (H.-J.K.); (S.H.)
| | - Hyerim Park
- Department of Medical Science, Medical School, Chungnam National University, Daejeon 35015, Republic of Korea;
| | - Dae Eun Choi
- Department of Nephrology, Chungnam National University Hospital, Daejeon 35015, Republic of Korea; (H.-J.K.); (S.H.)
- Department of Medical Science, Medical School, Chungnam National University, Daejeon 35015, Republic of Korea;
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14
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Fabre L, Rangel ÉB. Age-related markers and predictors of diabetic kidney disease progression in type 2 diabetes patients: a retrospective cohort study. Ther Adv Endocrinol Metab 2024; 15:20420188241242947. [PMID: 38585445 PMCID: PMC10999127 DOI: 10.1177/20420188241242947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Background Diabetic kidney disease (DKD) is characterized by reduced estimated glomerular filtration rate (eGFR) and albuminuria, which play a pivotal role in both diagnosing and determining the disease's progression. This study aimed to assess the trajectory of these markers concerning age in individuals with DKD and identify predictive factors for the decline in eGFR decline, variation in albuminuria, mortality, and progression to renal replacement therapy (RRT). Design This retrospective cohort encompassed patients with type 2 diabetes (T2D), divided into two age categories: <75 and ⩾75 years old. Methods Over a 3-year span, the study evaluated eGFR (CKD-EPI) and 24-h albuminuria. Univariate and multivariate analyses were employed to pinpoint factors associated with deteriorating renal function and mortality. Significance was set at p < 0.05, and Kaplan-Meier survival curves were constructed to illustrate renal and overall survival. Results The analysis comprised 304 patients. Comparable eGFR declines were evident in both age groups during the transition from the first to the second year and from the second to the third year. Nonetheless, a more pronounced rise in albuminuria was evident in the ⩾75 years group during the first to the second year. Multivariate analysis unveiled that systolic blood pressure (SBP) measurements in the first year positively forecasted eGFR decline. Age was associated with heightened albuminuria and mortality, while hospitalizations linked to cardiovascular causes robustly predicted mortality. Hospitalizations due to sepsis and cardiovascular reasons, coupled with first-year SBP measurements, served as predictive indicators for progression to RRT. Conclusion Both age groups experienced similar declines in eGFR, though the ⩾75 years group displayed a more significant increase in albuminuria during the first to the second year. Age, hospitalizations, and higher blood pressure levels were correlated with exacerbated renal function deterioration and/or elevated mortality in DKD. Timely intervention and tailored management strategies stand as critical components for enhancing outcomes among DKD patients.
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Affiliation(s)
- Larissa Fabre
- Department of Medicine, Nephrology Division, Universidade Federal de São Paulo, São Paulo, SP, Brazil
- Hospital Regional Hans Dieter Schmidt, Joinville, SC, Brazil
| | - Érika Bevilaqua Rangel
- Nephrology Division, Department of Medicine, Universidade Federal de São Paulo, Borges Lagoa Street, 591, 6th floor, Vila Clementino, São Paulo, 04038-031, SP, Brazil
- Albert Einstein Research and Education Institute, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
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15
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Swaminathan SM, Bhojaraja MV, Attur RP, Nagri SK, Rao IR, Rangaswamy D, Shenoy SV, Nagaraju SP. Study of prevalence, clinical profile, and predictors of rapid progression in diabetic kidney disease. Ir J Med Sci 2024; 193:1047-1054. [PMID: 37851330 DOI: 10.1007/s11845-023-03544-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 09/29/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND A significant proportion of diabetic kidney disease (DKD) experience a rapid decline in eGFR, leading to end-stage kidney disease (ESKD) within months. This single-centered retrospective cohort study aimed to assess the prevalence, clinical profile, and predictors for rapid progression in type 2 diabetes mellitus (T2DM) patients with DKD. METHOD Three hundred fifty-nine T2DM patients with DKD between January 2018 and 2022 were included and those with superimposed non-diabetic kidney disease, chronic kidney disease 5, and < 6 months follow-up were excluded. They were classified as rapid and non-rapid progressors based on the annual eGFR decline of > 5 ml/min/1.73 m2/year. The primary outcome analyzed was the progression to ESKD. The secondary outcomes were the onset of microvascular and macrovascular complications and predictors for rapid progression as well as ESKD. RESULTS In a median follow-up of 3.5 years, 61.3% were rapid progressors (mean eGFR decline of 15.4 ml/1.73m2/year) and 38.7% were non-rapid progressors (mean eGFR decline 1.8 ml/1.73m2/year. Among rapid progressors, 61.4% reached ESKD. Severe proteinuria, the presence of retinopathy, and acute kidney injury (AKI) episodes were strong predictors of rapid progression. Cardiovascular disease and diabetic retinopathy (microvascular complications) were significantly higher among rapid progressors and had a mortality rate of 7.2%. CONCLUSION The majority of type 2 DKD patients were rapid progressors and two-thirds of them developed ESKD. The prevalence of hypertension, cardiovascular disease, diabetic retinopathy, AKI episodes, and mortality was higher in rapid progressors. Severe proteinuria and diabetic retinopathy were found to be strong predictors for rapid eGFR decline and its progression to ESKD.
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Affiliation(s)
- Shilna Muttickal Swaminathan
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Mohan V Bhojaraja
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Ravindra Prabhu Attur
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Shivashankara Kaniyoor Nagri
- Department of Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Indu Ramachandra Rao
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Dharshan Rangaswamy
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Srinivas Vinayak Shenoy
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - Shankar Prasad Nagaraju
- Department of Nephrology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
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16
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Shi X, Wang S, Hu J, Chen F, Zhang H, Yang Y, Li X, Ma Q. Relationship of Frailty with Kidney Function in Adults More Than 60-Years-Old: Effect of Using Different Formulas to Estimate Glomerular Filtration Rate. Clin Interv Aging 2023; 18:999-1007. [PMID: 37396789 PMCID: PMC10314749 DOI: 10.2147/cia.s409140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 06/08/2023] [Indexed: 07/04/2023] Open
Abstract
Objective Determine the relationship of renal function with frailty using different formulas for estimated glomerular filtration rate (eGFR). Methods Individuals who were 60-years-old or more (n=507) were recruited from August 2020 to June 2021, and the FRAIL scale was used to classify them as non-frail or frail. The three equations used to compute the eGFR were based on serum creatinine (eGFRcr), cystatin C (eGFRcys), or SCr+CysC (eGFRcr-cys). Renal function was classified using eGFR and defined as normal (≥90 mL/min/1.73m2), mild damage (59-89 mL/min/1.73m2), or moderate damage (≤60 mL/min/1.73m2). The relationship of frailty with renal function was analyzed. A subset of participants (n=358) was used to analyze changes in eGFR from 1 January 2012 to 31 December 2021 according to frailty and using the different eGFR equations. Results There were significant differences between the eGFRcr-cys and eGFRcr values in the frail group (P<0.05), but not the non-frail group; however, the differences between the eGFRcr-cys and eGFRcys values were significant in the frail and non-frail groups (P<0.001). Based on each eGFR equation, the prevalence of frailty increased as eGFR decreased (P<0.001), but there was no significant relationship after adjusting for age or the age-adjusted Charlson co-morbidity index. There were temporal declines in eGFR in all three frailty groups (robust, pre-frail, and frail), especially in the frail group (2.226 mL/min/1.73m2 per year; P<0.001). Conclusion For older individuals who are frail, the eGFRcr value may not provide accurate estimates of renal function. Frailty is associated with a rapid decline in kidney function.
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Affiliation(s)
- Xiaotian Shi
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Shan Wang
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jieqiong Hu
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Fei Chen
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Heng Zhang
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yifan Yang
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xv Li
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Qing Ma
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
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17
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Kataoka H, Nitta K, Hoshino J. Visceral fat and attribute-based medicine in chronic kidney disease. Front Endocrinol (Lausanne) 2023; 14:1097596. [PMID: 36843595 PMCID: PMC9947142 DOI: 10.3389/fendo.2023.1097596] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/13/2023] [Indexed: 02/11/2023] Open
Abstract
Visceral adipose tissue plays a central role in obesity and metabolic syndrome and is an independent risk factor for both cardiovascular and metabolic disorders. Increased visceral adipose tissue promotes adipokine dysregulation and insulin resistance, leading to several health issues, including systemic inflammation, oxidative stress, and activation of the renin-angiotensin-aldosterone system. Moreover, an increase in adipose tissue directly and indirectly affects the kidneys by increasing renal sodium reabsorption, causing glomerular hyperfiltration and hypertrophy, which leads to increased proteinuria and kidney fibrosis/dysfunction. Although the interest in the adverse effects of obesity on renal diseases has grown exponentially in recent years, the relationship between obesity and renal prognosis remains controversial. This may be attributed to the long clinical course of obesity, numerous obesity-related metabolic complications, and patients' attributes. Multiple individual attributes influencing the pathophysiology of fat accumulation make it difficult to understand obesity. In such cases, it may be effective to elucidate the pathophysiology by conducting research tailored to individual attributes from the perspective of attribute-based medicine/personalized medicine. We consider the appropriate use of clinical indicators necessary, according to attributes such as chronic kidney disease stage, level of visceral adipose tissue accumulation, age, and sex. Selecting treatments and clinical indicators based on individual attributes will allow for advancements in the clinical management of patients with obesity and chronic kidney disease. In the clinical setting of obesity-related nephropathy, it is first necessary to accumulate attribute-based studies resulting from the accurate evaluation of visceral fat accumulation to establish evidence for promoting personalized medicine.
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18
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Guiney H, Walker R, Broadbent J, Caspi A, Goodin E, Kokaua J, Moffitt TE, Robertson S, Theodore R, Poulton R, Endre Z. Kidney-Function Trajectories From Young Adulthood to Midlife: Identifying Risk Strata and Opportunities for Intervention. Kidney Int Rep 2023; 8:51-63. [PMID: 36644353 PMCID: PMC9831942 DOI: 10.1016/j.ekir.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/26/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction Understanding normative patterns of change in kidney function over the life course may allow targeting of early interventions to slow or prevent the onset of kidney disease, but knowledge about kidney functional change before middle age is limited. This study used prospective longitudinal data from a representative birth cohort to examine common patterns of change from young to midadulthood and to identify risk factors and outcomes associated with poorer trajectories. Methods We used group-based trajectory modeling in the Dunedin study birth cohort (n = 857) to identify the following: (i) common kidney function trajectories between the ages 32 and 45 years, (ii) early-life factors associated with those trajectories, (iii) modifiable physical and psychosocial factors across adulthood associated with differences in trajectory slope, and (iv) links between trajectories and kidney-related outcomes at age 45 years. Results Three trajectory groups were identified and could be differentiated by age 32 years as follows: normal (58% of participants), low-normal (36%), and high-risk (6%) groups. Those from low socioeconomic backgrounds had higher odds of following a high-risk (vs. normal) trajectory. Modifiable factors (blood pressure, body mass index, inflammation, glycated hemoglobin, smoking, and socioeconomic status) across adulthood were associated with steeper age-related declines in kidney function, particularly among those in the low-normal and high-risk groups. Those in the low-normal and high-risk groups also had more adverse kidney-related outcomes at age 45 years. Conclusion The current findings could be used to inform the development of early interventions and point to socioeconomic conditions across the life course and health-related risk factors and behaviors in adulthood as kidney health promotion targets.
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Affiliation(s)
- Hayley Guiney
- Department of Psychology, Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Robert Walker
- Department of Medicine, Otago Medical School, University of Otago, Dunedin, New Zealand
| | | | - Avshalom Caspi
- Social, Genetic, and Developmental Psychiatry Center, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
| | - Elizabeth Goodin
- Department of Women’s and Children’s Health, Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Jesse Kokaua
- Department of Psychology, Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Centre for Pacific Health, Va’a O Tautai, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Terrie E. Moffitt
- Social, Genetic, and Developmental Psychiatry Center, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
| | - Stephen Robertson
- Department of Women’s and Children’s Health, Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Reremoana Theodore
- Department of Psychology, Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Richie Poulton
- Department of Psychology, Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Zoltan Endre
- Department of Nephrology, Prince of Wales Hospital, Randwick, New South Wales, Australia
- University of New South Wales, Kensington, New South Wales, Australia
- Department of Medicine, University of Otago, Christchurch, New Zealand
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19
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Escribá-Martí G, Cámara-Ramos I, Climent-Catalá MT, Escudero-Quesada V, Salar-Ibáñez L. Pharmaceutical care program for patients with chronic kidney disease in the community pharmacy: Detection of nephrotoxic drugs and dose adjustment. Viability study. PLoS One 2022; 17:e0278648. [PMID: 36548299 PMCID: PMC9778591 DOI: 10.1371/journal.pone.0278648] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Chronic kidney disease (CKD) is a major health problem. Early detection is the key to reducing morbidity and mortality, but it is difficult because it occurs without symptoms. Diagnosis of CKD is also important to avoid nephrotoxic drugs and to adjust the doses of other medications that may be affected. Pharmacies, due to their proximity to the population, frequency of patient visits, and knowledge of medication use are an ideal location for point-of-care diagnosis or CKD. OBJECTIVE To detect and refer to the primary care physician patients with low estimated glomerular filtration rate (eGFR) who use nephrotoxic drugs or who may require a dose adjustment. METHODOLOGY Pharmacy users over 60 years of age who agreed to participate were given a creatinine/eGFR test with a point-of-care meter. The eGFR was calculated and if it was less than 60 ml/min/1.73 m2, their medications were evaluated to identify nephrotoxic drugs or drugs that potentially required adjustment. If either were found, they were referred to their doctor for further management. RESULTS 198 patients were recruited in 4 pharmacies, of which 87 (43.9%) had an eGFR less than 60 ml/min/1.73 m2. They were taking a total of 635 medications. Of these 635 medications, 50 (7.9%) were affected by kidney function. Dose adjustment was recommended in 31 and discontinuation in 19. The primary care doctor accepted the recommendations for 14 medications: dose adjustment for 6 and withdrawal in 8. This represents 2.3% of medications taken by patients with an eGFR less than 60 ml/min/1.73 m2. The 50 medications identified were taken by 29 patients (33.3% of the 87 with a low eGFR) and a change in treatment was generated in 9 patients, representing 4.6% of the total number of patients in the sample, and 10% of the patients with a low eGFR. CONCLUSION Point-of-care testing for kidney function in a pharmacy setting is feasible and identifies a significant number of patients with eGFR under 60 ml/min/1.73 m2. It also allows for appropriate medication management recommendations in this patient group.
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Affiliation(s)
| | | | - María Teresa Climent-Catalá
- Doctor of Pharmacy, President of the SEFAC Delegation in the Valencian Community, Community Pharmacist in L’Olleria, Valencia, Spain
| | | | - Luis Salar-Ibáñez
- Doctor of Pharmacy, Cardenal Herrera University–CEU, Community Pharmacist in Valencia, Valencia, Spain
- * E-mail:
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20
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Toti L, Manzia TM, Blasi F, Lenci I, Baiocchi L, Toschi N, Tisone G. Renal Function, Adherence and Quality of Life Improvement After Conversion From Immediate to Prolonged-Release Tacrolimus in Liver Transplantation: Prospective Ten-Year Follow-Up Study. Transpl Int 2022; 35:10384. [PMID: 36601628 PMCID: PMC9806113 DOI: 10.3389/ti.2022.10384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 11/24/2022] [Indexed: 12/23/2022]
Abstract
Immunosuppression non-adherence is a major cause of graft failure after liver transplantation. The aim of this study was to evaluate practice surrounding conversion from immediate-release to prolonged-release Tacrolimus formulation and to assess patient adherence and quality of life (QoL). One hundred and seven adult liver transplant recipients, receiving immediate-release Tacrolimus for a minimum of 6 months, were converted to prolonged-release formulation, based on a dose ratio of one (1:1). The median follow-up was 120 [IQR, 120-123] months. Tacrolimus dosage and blood level, liver and renal function, lipid and glucose profiles were recorded. In addition, questionnaires were submitted to evaluate adherence and QoL following conversion. No rejection was recorded. The median serum Tacrolimus blood level decreased over 1 month (5.80, [IQR, 2.0-10.8] vs. 3.8 [IQR, 1.4-8.7]; p < 0.0005). Significant improvement in renal function was noted (median GFR was 81.7 [IQR, 43.4-128.6] vs. 73.9 [IQR, 27.1-130.2]; p = 0.0002). At the end of the follow-up, conversion resulted in an overall decrease in non-adherence of 53.3% (p = 0.0001) and an improvement in QoL was reported by 76.2% of patients. Thus, 1:1 conversion from immediate to prolonged-release Tacrolimus is safe, feasible and efficient, avoiding under-therapeutic and toxic peak concentrations, improving renal function, adherence to immunosuppression and overall patient QoL.
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Affiliation(s)
- Luca Toti
- HPB and Transplant Unit, Department of Surgery, University of Rome Tor Vergata, Rome, Italy
| | - Tommaso Maria Manzia
- HPB and Transplant Unit, Department of Surgery, University of Rome Tor Vergata, Rome, Italy
| | - Francesca Blasi
- HPB and Transplant Unit, Department of Surgery, University of Rome Tor Vergata, Rome, Italy
| | - Ilaria Lenci
- Hepatology and Liver Transplant Unit, University of Rome Tor Vergata, Rome, Italy
| | - Leonardo Baiocchi
- Hepatology and Liver Transplant Unit, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States
| | - Giuseppe Tisone
- HPB and Transplant Unit, Department of Surgery, University of Rome Tor Vergata, Rome, Italy
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21
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Structural and Functional Changes in Aging Kidneys. Int J Mol Sci 2022; 23:ijms232315435. [PMID: 36499760 PMCID: PMC9737118 DOI: 10.3390/ijms232315435] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/30/2022] [Accepted: 12/04/2022] [Indexed: 12/12/2022] Open
Abstract
The renal condition is one of the crucial predictors of longevity; therefore, early diagnosis of any dysfunction plays an important role. Kidneys are highly susceptible to the aging process. Unfavorable conditions may lead to a significant disturbance of the body's homeostasis. Apart from physiological changes, there are some conditions such as hypertension, diabetes or obesity which contribute to the acceleration of the aging process. A determination of macroscopic and microscopic changes is essential for assessing the progression of aging. With age, we observe a decrease in the volume of renal parenchyma and an increase in adipose tissue in the renal sinuses. Senescence may also be manifested by the roughness of the kidney surface or simple renal cysts. The main microscopic changes are a thickening of the glomerular basement membrane, nephrosclerosis, an accumulation of extracellular matrix, and mesangial widening. The principal aspect of stopping unfavorable changes is to maintain health. Studies have shown many useful ways to mitigate renal aging. This review is focused especially on medications such as renin-angiotensin-aldosterone system blockers or resveratrol, but even eating habits and lifestyle.
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22
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Jaques DA, Vollenweider P, Bochud M, Ponte B. Aging and hypertension in kidney function decline: A 10 year population-based study. Front Cardiovasc Med 2022; 9:1035313. [PMID: 36277793 PMCID: PMC9582457 DOI: 10.3389/fcvm.2022.1035313] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Aging is associated with a physiological decline in kidney function (KFD). In this study, we aimed to describe the impact of age on the rate of KFD and its interplay with risk factors for chronic kidney disease (CKD), considering mainly hypertension (HT), in the general population. Materials and methods Participants of European descent, aged 35-75, were recruited from a populational cohort in Lausanne, Switzerland. Participants with a 10 year follow-up were selected. KFD was defined as the difference in estimated glomerular filtration rate (eGFR) between baseline and follow-up, divided by the observation period. Multivariate linear regressions were used with KFD as the outcome and age as the main predictor. HT was tested as a modifying factor. Results We included 4,163 participants with mean age 52.2 ± 10.4, 44.7% men, 31.9% HT, and 5.0% diabetics. Mean baseline eGFR was 85.9 ± 14.6 ml/min/1.73 m2. Mean KFD was -0.49 ± 1.08 ml/min/1.73 m2 per year with 70% of participants decreasing their eGFR during follow-up. The relationship between age and KFD was non-linear and age was divided in tertiles. Old participants had faster rates of KFD as compared to young and middle-age participants (p < 0.001). A significant interaction was found between age and HT on KFD prediction (p < 0.001). In HT participants, KFD was significantly different across tertiles of age (p < 0.001). On contrary, KFD was not different across tertiles of age in non-HT participants. Conclusion A physiological KFD is present over time in the general population. Age contributes non-linearly to the rate of this decline with older subjects declining the fastest. The presence of HT is a major contributing factor in this setting as KFD worsened with age only in hypertensive participants. Thus, HT represents an important pathological factor aggravating the age-related physiological decline in eGFR in the general population.
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Affiliation(s)
- David A. Jaques
- Division of Nephrology, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland,*Correspondence: David A. Jaques,
| | - Peter Vollenweider
- Department of Internal Medicine, University Hospital of Lausanne, Lausanne, Switzerland
| | - Murielle Bochud
- Department of Epidemiology and Health Systems, University Center of General Medicine and Public Health, Lausanne, Switzerland
| | - Belen Ponte
- Division of Nephrology, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland,Department of Epidemiology and Health Systems, University Center of General Medicine and Public Health, Lausanne, Switzerland,Belen Ponte,
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23
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Melsom T, Norvik JV, Enoksen IT, Stefansson V, Mathisen UD, Fuskevåg OM, Jenssen TG, Solbu MD, Eriksen BO. Sex Differences in Age-Related Loss of Kidney Function. J Am Soc Nephrol 2022; 33:1891-1902. [PMID: 35977806 PMCID: PMC9528336 DOI: 10.1681/asn.2022030323] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/08/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND CKD is more prevalent in women, but more men receive kidney replacement therapy for kidney failure. This apparent contradiction is not well understood. METHODS We investigated sex differences in the loss of kidney function and whether any sex disparities could be explained by comorbidity or CKD risk factors. In the Renal Iohexol Clearance Survey (RENIS) in northern Europe, we recruited 1837 persons (53% women, aged 50-62 years) representative of the general population and without self-reported diabetes, CKD, or cardiovascular disease. Participants' GFR was measured by plasma iohexol clearance in 2007-2009 (n=1627), 2013-2015 (n=1324), and 2018-2020 (n=1384). At each study visit, healthy persons were defined as having no major chronic diseases or risk factors for CKD. We used generalized additive mixed models to assess age- and sex-specific GFR decline rates. RESULTS Women had a lower GFR than men at baseline (mean [SD], 90.0 [14.0] versus 98.0 [13.7] ml/min per 1.73 m2; P<0.001). The mean GFR change rate was -0.96 (95% confidence interval [CI], -0.88 to -1.04) ml/min per 1.73 m2 per year in women and -1.20 (95% confidence interval [CI], -1.12 to -1.28) in men. Although the relationship between age and GFR was very close to linear in women, it was curvilinear in men, with steeper GFR slopes at older ages (nonlinear effect; P<0.001). Healthy persons had a slower GFR decline, but health status did not explain the sex difference in the GFR decline. CONCLUSION Among middle-aged and elderly individuals in the general population, decline in the mean GFR in women was slower than in men, independent of health status.
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Affiliation(s)
- Toralf Melsom
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
| | - Jon Viljar Norvik
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
| | | | - Vidar Stefansson
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
| | | | - Ole Martin Fuskevåg
- Department of Laboratory Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Trond G. Jenssen
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
- Department of Transplant Medicine, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marit D. Solbu
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
| | - Bjørn O. Eriksen
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
- Metabolic and Renal Research Group, UiT Arctic University of Norway, Tromsø, Norway
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24
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Gorski M, Rasheed H, Teumer A, Thomas LF, Graham SE, Sveinbjornsson G, Winkler TW, Günther F, Stark KJ, Chai JF, Tayo BO, Wuttke M, Li Y, Tin A, Ahluwalia TS, Ärnlöv J, Åsvold BO, Bakker SJL, Banas B, Bansal N, Biggs ML, Biino G, Böhnke M, Boerwinkle E, Bottinger EP, Brenner H, Brumpton B, Carroll RJ, Chaker L, Chalmers J, Chee ML, Chee ML, Cheng CY, Chu AY, Ciullo M, Cocca M, Cook JP, Coresh J, Cusi D, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Evans MK, Feitosa MF, Franke A, Freitag-Wolf S, Fuchsberger C, Gampawar P, Gansevoort RT, Ghanbari M, Ghasemi S, Giedraitis V, Gieger C, Gudbjartsson DF, Hallan S, Hamet P, Hishida A, Ho K, Hofer E, Holleczek B, Holm H, Hoppmann A, Horn K, Hutri-Kähönen N, Hveem K, Hwang SJ, Ikram MA, Josyula NS, Jung B, Kähönen M, Karabegović I, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Kuusisto J, Laakso M, Lange LA, Lehtimäki T, Li M, Lieb W, Lind L, Lindgren CM, Loos RJF, Lukas MA, Lyytikäinen LP, Mahajan A, Matias-Garcia PR, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Morris AP, Mychaleckyj JC, Nadkarni GN, Naito M, et alGorski M, Rasheed H, Teumer A, Thomas LF, Graham SE, Sveinbjornsson G, Winkler TW, Günther F, Stark KJ, Chai JF, Tayo BO, Wuttke M, Li Y, Tin A, Ahluwalia TS, Ärnlöv J, Åsvold BO, Bakker SJL, Banas B, Bansal N, Biggs ML, Biino G, Böhnke M, Boerwinkle E, Bottinger EP, Brenner H, Brumpton B, Carroll RJ, Chaker L, Chalmers J, Chee ML, Chee ML, Cheng CY, Chu AY, Ciullo M, Cocca M, Cook JP, Coresh J, Cusi D, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Evans MK, Feitosa MF, Franke A, Freitag-Wolf S, Fuchsberger C, Gampawar P, Gansevoort RT, Ghanbari M, Ghasemi S, Giedraitis V, Gieger C, Gudbjartsson DF, Hallan S, Hamet P, Hishida A, Ho K, Hofer E, Holleczek B, Holm H, Hoppmann A, Horn K, Hutri-Kähönen N, Hveem K, Hwang SJ, Ikram MA, Josyula NS, Jung B, Kähönen M, Karabegović I, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Kuusisto J, Laakso M, Lange LA, Lehtimäki T, Li M, Lieb W, Lind L, Lindgren CM, Loos RJF, Lukas MA, Lyytikäinen LP, Mahajan A, Matias-Garcia PR, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Morris AP, Mychaleckyj JC, Nadkarni GN, Naito M, Nakatochi M, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Nutile T, O'Donoghue ML, O'Connell J, Olafsson I, Orho-Melander M, Parsa A, Pendergrass SA, Penninx BWJH, Pirastu M, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rheinberger M, Rice KM, Rizzi F, Rosenkranz AR, Rossing P, Rotter JI, Ruggiero D, Ryan KA, Sabanayagam C, Salvi E, Schmidt H, Schmidt R, Scholz M, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Sieber KB, Sim X, Sims M, Snieder H, Stanzick KJ, Thorsteinsdottir U, Stocker H, Strauch K, Stringham HM, Sulem P, Szymczak S, Taylor KD, Thio CHL, Tremblay J, Vaccargiu S, van der Harst P, van der Most PJ, Verweij N, Völker U, Wakai K, Waldenberger M, Wallentin L, Wallner S, Wang J, Waterworth DM, White HD, Willer CJ, Wong TY, Woodward M, Yang Q, Yerges-Armstrong LM, Zimmermann M, Zonderman AB, Bergler T, Stefansson K, Böger CA, Pattaro C, Köttgen A, Kronenberg F, Heid IM. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. Kidney Int 2022; 102:624-639. [PMID: 35716955 PMCID: PMC10034922 DOI: 10.1016/j.kint.2022.05.021] [Show More Authors] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 04/19/2022] [Accepted: 05/11/2022] [Indexed: 12/15/2022]
Abstract
Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.
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Affiliation(s)
- Mathias Gorski
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Department of Nephrology, University Hospital Regensburg, Regensburg, Germany.
| | - Humaira Rasheed
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany; Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Laurent F Thomas
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; BioCore-Bioinformatics Core Facility, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sarah E Graham
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Felix Günther
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois, USA
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Renal Division, Department of Medicine IV, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Adrienne Tin
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, Mississippi, USA; Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; The Bioinformatics Center, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; School of Health and Social Studies, Dalarna University, Stockholm, Sweden
| | - Bjørn Olav Åsvold
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bernhard Banas
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle, Washington, USA; Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Mary L Biggs
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia, Italy
| | - Michael Böhnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Digital Health Center, Hasso Plattner Institute and University of Potsdam, Potsdam, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Ben Brumpton
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Robert J Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Layal Chaker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Miao-Ling Chee
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Audrey Y Chu
- Genetics, Merck & Co, Inc., Kenilworth, New Jersey, USA
| | - Marina Ciullo
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso"-CNR, Naples, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste, Italy
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Daniele Cusi
- Institute of Biomedical Technologies, National Research Council of Italy, Milan, Italy; Bio4Dreams-Business Nursery for Life Sciences, Milan, Italy
| | - Martin H de Borst
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Nephrology and Hypertension, Friedrich Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Karlhans Endlich
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany; Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, US National Institutes of Health, Baltimore, Maryland, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Sandra Freitag-Wolf
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Christian Fuchsberger
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA; Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
| | - Piyush Gampawar
- Institute of Molecular Biology and Biochemistry, Center for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Ron T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sahar Ghasemi
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Vilmantas Giedraitis
- Molecular Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland; Iceland School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Stein Hallan
- Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Nephrology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Pavel Hamet
- Montreal University Hospital Research Center, CHUM, Montreal, Quebec, Canada; Medpharmgene, Montreal, Quebec, Canada; CRCHUM, Montreal, Quebec, Canada
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kevin Ho
- Kidney Health Research Institute (KHRI), Geisinger, Danville, Pennsylvania, USA; Department of Nephrology, Geisinger, Danville, Pennsylvania, USA
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Bernd Holleczek
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hilma Holm
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland; Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Kristian Hveem
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Navya Shilpa Josyula
- Geisinger Research, Biomedical and Translational Informatics Institute, Rockville, Maryland, USA
| | - Bettina Jung
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany; KfH Kidney Centre Traunstein, Traunstein, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Irma Karabegović
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Chiea-Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Holly Kramer
- Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois, USA; Division of Nephrology and Hypertension, Loyola University Chicago, Chicago, Illinois, USA
| | - Bernhard K Krämer
- Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Johanna Kuusisto
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland; Centre for Medicine and Clinical Research, University of Eastern Finland School of Medicine, Kuopio, Finland
| | - Markku Laakso
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland; Centre for Medicine and Clinical Research, University of Eastern Finland School of Medicine, Kuopio, Finland
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Man Li
- Division of Nephrology and Hypertension, Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank Popgen, Kiel University, Kiel, Germany
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Cecilia M Lindgren
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Wellcome Center for Human Genetics, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Level 3, Women's Centre, John Radcliffe Hospital, Oxford, UK; Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute, University of Oxford, Oxford, UK
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mary Ann Lukas
- Clinical Sciences, GlaxoSmithKline, Albuquerque, New Mexico, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Anubha Mahajan
- Wellcome Center for Human Genetics, University of Oxford, Oxford, UK; Oxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Thomas Meitinger
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Olle Melander
- Hypertension and Cardiovascular Disease, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, the Netherlands
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Andrew P Morris
- Department of Health Data Science, University of Liverpool, Liverpool, UK; Wellcome Center for Human Genetics, University of Oxford, Oxford, UK; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, Charlottesville, Virginia, USA
| | - Girish N Nadkarni
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mariko Naito
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA; Data Tecnica International, Glen Echo, Maryland, USA
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland; Department of Cardiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Boting Ning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Teresa Nutile
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso"-CNR, Naples, Italy
| | - Michelle L O'Donoghue
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA; TIMI Study Group, Boston, Massachusetts, USA
| | | | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali University Hospital, Reykjavik, Iceland
| | - Marju Orho-Melander
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Afshin Parsa
- Division of Kidney, Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Sarah A Pendergrass
- Geisinger Research, Biomedical and Translational Informatics Institute, Danville, Pennsylvania, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, the Netherlands
| | - Mario Pirastu
- Institute of Genetic and Biomedical Research, National Research Council of Italy, UOS of Sassari, Li Punti, Sassari, Italy
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Department of Epidemiology, Department of Health Services, University of Washington, Seattle, Washington, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Myriam Rheinberger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany; KfH Kidney Centre Traunstein, Traunstein, Germany
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Federica Rizzi
- Department of Health Sciences, University of Milan, Milano, Italy; ePhood Scientific Unit, ePhood SRL, Milano, Italy
| | - Alexander R Rosenkranz
- Division of Nephrology, Department of Internal Medicine, Medical University Graz, Graz, Austria
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso"-CNR, Naples, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Kathleen A Ryan
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Erika Salvi
- Department of Health Sciences, University of Milan, Milano, Italy; Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta," Milan, Italy
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Center for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Christina-Alexandra Schulz
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Sanaz Sedaghat
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christian M Shaffer
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karsten B Sieber
- Human Genetics, GlaxoSmithKline, Collegeville, Pennsylvania, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Kira J Stanzick
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Hannah Stocker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Chair of Genetic Epidemiology, IBE, Faculty of Medicine, Ludwig-Maximilians-Universität München, München, Germany; Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Heather M Stringham
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Silke Szymczak
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany; Institute of Medical Biometry and Statistics, University of Lübeck, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Johanne Tremblay
- Montreal University Hospital Research Center, CHUM, Montreal, Quebec, Canada; CRCHUM, Montreal, Quebec, Canada; Medpharmgene, Montreal, Quebec, Canada
| | - Simona Vaccargiu
- Institute of Genetic and Biomedical Research, National Research Council of Italy, UOS of Sassari, Li Punti, Sassari, Italy
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Durrer Center for Cardiovascular Research, The Netherlands Heart Institute, Utrecht, the Netherlands
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany; Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Lars Wallentin
- Cardiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Stefan Wallner
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Judy Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Harvey D White
- Green Lane Cardiovascular Service, Auckland City Hospital and University of Auckland, Auckland, New Zealand
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Martina Zimmermann
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, US National Institutes of Health, Baltimore, Maryland, USA
| | - Tobias Bergler
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany; KfH Kidney Centre Traunstein, Traunstein, Germany
| | - Cristian Pattaro
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
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Schaeffner ES, Ebert N, Kuhlmann MK, Martus P, Mielke N, Schneider A, van der Giet M, Huscher D. Age and the Course of GFR in Persons Aged 70 and Above. Clin J Am Soc Nephrol 2022; 17:1119-1128. [PMID: 35850785 PMCID: PMC9435992 DOI: 10.2215/cjn.16631221] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/11/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND OBJECTIVES In older adults, data on the age-related course of GFR are scarce, which might lead to misjudgment of the clinical relevance of reduced GFR in old age. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS To describe the course of eGFR in older adults and derive reference values in population-based individuals, we used the longitudinal design of the Berlin Initiative Study (BIS) with a repeated estimation of GFR over a median of 6.1 years of follow-up. In 2069 community-dwelling older individuals (mean inclusion age 80 years, range 70-99), GFR was estimated biennially with the BIS-2 equation, including standardized creatinine and cystatin C levels, sex, and age. We described the crude and adjusted course using a mixed-effects model and analyzed the influence of death on the GFR course applying joint models. GFR slopes were compared using GFR equations on the basis of creatinine and/or cystatin C. RESULTS We observed a decreasing, thus nonlinear, eGFR decline with increasing age in a population of old adults. The estimated 1-year slope for ages 75 and 90 diminished for men from -1.67 to -0.99 and for women from -1.52 to -0.97. The modeled mean eGFR for men aged ≥79 and women ≥78 was below 60 ml/min per 1.73 m2. Multivariable adjustment attenuated slopes only minimally. Taking death into account by applying joint models did not alter the nonlinear eGFR decline. Using eGFR equations on the basis of creatinine only showed linear slope patterns in contrast to nonlinear patterns for equations including cystatin C. CONCLUSIONS The eGFR decline depended on sex and age and changed only marginally after multivariable adjustment but decelerated with increasing age. Equations including cystatin C demonstrated a nonlinear slope challenging the previously assumed linearity of the decline of eGFR in old age.
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Affiliation(s)
- Elke S. Schaeffner
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Natalie Ebert
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Martin K. Kuhlmann
- Department of Nephrology, Vivantes Klinikum im Friedrichshain, Berlin, Germany
| | - Peter Martus
- Institute of Clinical Epidemiology and Applied Biostatistics, Friedrich Karls-University, Tübingen, Germany
| | - Nina Mielke
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Alice Schneider
- Institute of Biometry and Clinical Epidemiology, and Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Markus van der Giet
- Division of Nephrology and Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Dörte Huscher
- Institute of Biometry and Clinical Epidemiology, and Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Newly initiated cardiovascular medication and short-term risk of unintentional poisoning among Swedish middle-aged and older adults: A national register-based case-crossover study. Biomed Pharmacother 2022; 151:113152. [PMID: 35594712 DOI: 10.1016/j.biopha.2022.113152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/12/2022] [Accepted: 05/15/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Although some studies have shown the average side effects of cardiovascular medication, the short-term effect after newly initiated cardiovascular medications has not been studied in any detail. We aim to determine the effect of newly initiated cardiovascular medications resulting in unintentional poisoning and to identify those at high risk. METHODS A case-crossover design was used. From the Swedish National Patient Register, a total of 9,354 persons aged ≥ 50 and hospitalized with a first event of unintentional poisoning between July 2006 and September 2018 were identified. Through linkage to the Prescribed Drug Register, exposure to newly initiated cardiovascular medication during the case period (1-28 days prior to the onset date of unintentional poisoning) was compared with that in a corresponding control period (113-140 days prior to the onset date). Conditional logistic regression was used to determine the associations in total, for different time periods as well as by age, sex, underlying comorbidity, and use of other medications. RESULTS Newly initiated cardiovascular medications were associated with a higher risk of unintentional poisoning, especially during the first week after initiation (odds ratio [OR]=1.39), (95% confidence interval [CI]=1.08-1.79). The risk of unintentional poisoning was comparable across age groups, sex, underlying comorbidities, and medications with OR (95% CI) ranging from 1.15 (0.75-1.74) to 2.00 (1.15-3.47). CONCLUSION This large population-based case-crossover study showed that newly initiated cardiovascular medication is associated with an increased risk of unintentional poisoning, particularly during the first week after initiation. The risk is comparable across age, sex, underlying comorbidity, and medications.
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27
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Liu J, Gao LD, Fu B, Yang HT, Zhang L, Che SQ, Xu Y, Du X, Liu ZC, Xue Y, Lv CX, Huang YH, Wang BH, Gao SX, Xing YF, Yuan XH. Efficacy and safety of Zicuiyin decoction on diabetic kidney disease: A multicenter, randomized controlled trial. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 100:154079. [PMID: 35413644 DOI: 10.1016/j.phymed.2022.154079] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/16/2022] [Accepted: 03/25/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUD Zicuiyin (ZCY) decoction created by Xichun Zhang in the Qing dynasty has been used on diabetes mellitus and complications for more than two centuries in China. Huangkui capsule (HKC) is a listed Chinese patent medicine to treat diabetic kidney disease (DKD). To determine whether ZCY is non-inferior to HKC in the treatment of DKD, a multicenter, parallel-control, open-label, randomized clinical trial was conducted. METHODS In this clinical trial, 88 DKD patients were recruited at three centers in Tianjin from January 2018 to December 2019. They were randomized to receive HKC (2.5 g, TID) or ZCY (crude drug amount 75 g, 150 ml, BID) for eight weeks based on routine treatment. The primary outcome was the change of estimated glomerular filtration rate (eGFR). The secondary outcomes included change of serum creatinine (SCr), urinary albumin excretion rate, 24 h urinary protein, urinary albumin-creatinine ratio, glycosylated hemoglobin A1c, symptom scores, and microbiota compositions profiles. RESULTS The change of eGFR in HKC and ZCY groups were -7.08 ± 24.65 and 2.57 ± 18.49 ml/min/1.73 m2, respectively (p < 0.05). The 95% lower confidence limit for the difference between the estimated means was 1.93 ml/min/1.73 m2, establishing the superiority of ZCY. Compared to HKC, ZCY could significantly decrease SCr and symptom scores (p < 0.05). There were no significant differences in other outcomes between the two groups (p > 0.05). ZCY ameliorated gut microbiota dysbiosis, including increased Prevotellaceae and Lactobacillaceae and decreased Enterobacteriales, Clostridiaceae and Micrococcaceae. No severe adverse events were reported in any group. CONCLUSIONS ZCY had better efficacy in improving and protecting kidney function. It would be an alternative option to treat DKD, especially those who decline eGFR and gut microbiota dysbiosis. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR-OON-17012076. Registered July 21, 2017.
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Affiliation(s)
- Jia Liu
- Clinical Pharmacology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Li-Dong Gao
- Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin 301617, China
| | - Bin Fu
- Nephrology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Hong-Tao Yang
- Nephrology Department, First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 88 ChangLing Road, Xiqing District, Tianjin 300381, China
| | - Lin Zhang
- Nephrology Department, First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 88 ChangLing Road, Xiqing District, Tianjin 300381, China
| | - Shu-Qiang Che
- Nephrology Department, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, 354 Beima Road, Hongqiao District, Tianjin 300120, China
| | - Ying Xu
- Nephrology Department, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, 354 Beima Road, Hongqiao District, Tianjin 300120, China
| | - Xi Du
- Clinical Pharmacology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Zhi-Chao Liu
- Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin 301617, China
| | - Yu Xue
- Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin 301617, China
| | - Chun-Xiao Lv
- Clinical Pharmacology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Yu-Hong Huang
- Clinical Pharmacology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China.
| | - Bao-He Wang
- Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Shi-Xing Gao
- Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin 301617, China
| | - Yong-Fa Xing
- Clinical Pharmacology Department, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, 69 Zengchan Road, Hebei District, Tianjin 300250, China
| | - Xin-Hui Yuan
- Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin 301617, China
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Gunarathne TGNS, Tang LY, Lim SK, Nanayakkara N, Damayanthi HDWT, Abdullah KL. Factors Associated with Symptom Burden in Adults with Chronic Kidney Disease Undergoing Hemodialysis: A Prospective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5540. [PMID: 35564935 PMCID: PMC9105408 DOI: 10.3390/ijerph19095540] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 02/01/2023]
Abstract
People with end stage renal disease and undergoing hemodialysis experience a high symptom burden that impairs quality of life. This study aimed to assess the prevalence, dynamicity and determinants of symptom burden among middle-aged and older adult hemodialysis patients. A descriptive cross-sectional study together with a longitudinal assessment was used. A total of 118 and 102 hemodialysis patients were assessed at baseline and at a 6-month follow-up. Validated questionnaires were used to assess the symptom burden, stress, illness perception and social support. Multiple linear regression analysis was used to determine the factors associated with symptom burden. The median number of symptoms experienced was 21 (Interquartile Range (IQR); 18−23) and 19 (IQR; 13−22) at baseline and 6 months, respectively. Having elevated stress (β = 0.65, p ≤ 0.005) and illness perception (β = 0.21, p = 0.02) were significantly predicted symptom burden at baseline (F (4, 112) = 55.29, p < 0.005, R2 = 0.664). Stress (β = 0.28, p = 0.003), illness perception (β = 0.2, p = 0.03), poor social support (β = −0.22, p = 0.01) and low body weight (β = −0.19, p = 0.03) were the determinants for symptom burden at 6 months (F (5, 93) = 4.85, p ≤ 0.005, R2 = 0.24). Elevated stress, illness perception level, poor social support and low post-dialysis body weight were found to be determinants for symptom burden. Attention should be given to psychosocial factors of hemodialysis patients while conducting assessment and delivering care to patients.
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Affiliation(s)
- Thalwaththe Gedara Nadeeka Shayamalie Gunarathne
- Department of Nursing Science, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia; or
- Department of Nursing, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya 20400, Sri Lanka;
| | - Li Yoong Tang
- Department of Nursing Science, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia; or
| | - Soo Kun Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia;
| | | | | | - Khatijah L. Abdullah
- Department of Nursing, School of Medical and Life Science, Sunway University, Bandar Sunway 47500, Malaysia;
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Lin CH, Lai YC, Chang TJ, Jiang YD, Chang YC, Chuang LM. Hemoglobin glycation index predicts renal function deterioration in patients with type 2 diabetes and a low risk of chronic kidney disease. Diabetes Res Clin Pract 2022; 186:109834. [PMID: 35314255 DOI: 10.1016/j.diabres.2022.109834] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 01/24/2022] [Accepted: 03/16/2022] [Indexed: 11/03/2022]
Abstract
AIMS Hemoglobin glycation index (HGI) is used to describe the difference between estimated and measured glycated hemoglobin (HbA1c). We aimed to study whether HGI can predict renal function deterioration in patients with type 2 diabetes and a low risk of chronic kidney disease (CKD). METHODS This retrospective cohort study enrolled 780 patients with type 2 diabetes and a low CKD risk according to the criteria of kidney disease: improving global outcomes. Participants were divided into two subgroups according to the baseline HGI calculated by fasting blood glucose and HbA1c. Multivariate Cox proportional hazard models were used to evaluate the hazard ratios of the study endpoints. Longitudinal data was analyzed using generalized estimating equation (GEE). RESULTS The participants were followed for a median of 7.3 years. A high HGI predicted rapid renal function decline without or with a resultant eGFR < 60 ml/min/1.73 m2, but not onset of macroalbuminuria. The longitudinal GEE model demonstrated a negative association between HGI and the predicted eGFR changes in both the 1-year and 3-year intervals. CONCLUSIONS HGI independently predicted renal function deterioration in patients with type 2 diabetes and a low CKD risk. Further investigations are warranted to elucidate its potential clinical impact.
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Affiliation(s)
- Chih-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Ying-Chuen Lai
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Tien-Jyun Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Yi-Der Jiang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Yi-Cheng Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Graduate Institute of Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei 100, Taiwan; Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Lee-Ming Chuang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan; Institute of Preventive Medicine, School of Public Health, National Taiwan University, Taipei 100, Taiwan.
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30
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Lin M, Heizhati M, Gan L, Yao L, Yang W, Li M, Hong J, Wu Z, Wang H, Li N. Development and Validation of a Prediction Model for 5-Year Risk of Kidney Dysfunction in Patients with Hypertension and Glucose Metabolism Disorder. Risk Manag Healthc Policy 2022; 15:289-298. [PMID: 35221736 PMCID: PMC8880707 DOI: 10.2147/rmhp.s345059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/01/2022] [Indexed: 12/15/2022] Open
Abstract
Purpose Patients with hypertension and glucose metabolism disorder (GMD) are at high risk of developing kidney dysfunction (KD). Therefore, we aimed to develop a nomogram for predicting individuals’ 5-year risk of KD in hypertensives with GMD. Patients and Methods In total, 1961 hypertensives with GMD were consecutively included. Baseline data were extracted from medical electronic system, and follow-up data were obtained using annual health check-ups or hospital readmission. KD was defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m2. Subjects were randomly divided into training and validation sets with a ratio of 7 to 3. Least absolute shrinkage and selection operator method was used to identify potential predictors. Cox proportional hazard model was applied to build a nomogram for predicting KD risk. The discriminative ability, calibration and usefulness of the model were evaluated. The prediction model was verified by internal validation. Results During the follow-up of 5351 person-years with a median follow-up of 32 (range: 3–91) months, 130 patients developed KD. Age, sex, ethnicity, hemoglobin A1c, uric acid, and baseline eGFR were identified as significant predictors for incident KD and used for establishing nomogram. The prediction model displayed good discrimination with C-index of 0.770 (95% CI: 0.712–0.828) and 0.763 (95% CI: 0.704–0.823) in training and validation sets, respectively. Calibration curve indicated good agreement between the predicted and actual probabilities. The decision curve analysis demonstrated that the model was clinically useful. Conclusion The prediction nomogram, including six common easy-to-obtain factors, shows good performance for predicting 5-year risk of KD in hypertensives with GMD. This quantitative tool could help clinicians, and even primary care providers, recognize potential KD patients early and make strategy for prevention and management.
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Affiliation(s)
- Mengyue Lin
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
- Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Mulalibieke Heizhati
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Lin Gan
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
- Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Ling Yao
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Wenbo Yang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Mei Li
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Jing Hong
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Zihao Wu
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
| | - Hui Wang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
- Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Nanfang Li
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research; Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”; Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, People’s Republic of China
- Correspondence: Nanfang Li, Email
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van der Burgh AC, Rizopoulos D, Ikram MA, Hoorn EJ, Chaker L. Determinants of the Evolution of Kidney Function With Age. Kidney Int Rep 2021; 6:3054-3063. [PMID: 34901574 PMCID: PMC8640542 DOI: 10.1016/j.ekir.2021.10.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/23/2021] [Accepted: 10/04/2021] [Indexed: 12/23/2022] Open
Abstract
Introduction Kidney function declines with age, but its determinants in the general population remain incompletely understood. We investigated the rate and determinants of kidney function decline in the general population. Methods Participants with information on kidney function were selected from a population-based cohort study. Joint models were used to investigate the evolution of the estimated glomerular filtration rate (eGFR, expressed in ml/min per 1.73 m2 per year) and the urine albumin-to-creatinine ratio (ACR, expressed in mg/g per year) with age. We stratified for 8 potential determinants of kidney function decline, including sex, cardiovascular risk factors, and cardiovascular disease. Results We included 12,062 participants with 85,922 eGFR assessments (mean age 67.0 years, 58.7% women) and 3522 participants with 5995 ACR measurements. The annual eGFR decline was 0.82 and the ACR increase was 0.05. All determinants appeared detrimental for eGFR and ACR, except for prediabetes and higher body mass index which proved only detrimental for ACR. In participants without the determinants, eGFR decline was 0.75 and ACR increase was 0.002. Higher baseline eGFR but faster eGFR decline with age was detected in men (0.92 vs. 0.75), smokers (0.90 vs. 0.75), and participants with diabetes (1.07 vs. 0.78). Conclusion We identify prediabetes, smoking, and blood pressure as modifiable risk factors for kidney function decline. As with diabetes, hyperfiltration seems important in accelerated kidney function decline in men and smokers. The interpretation of kidney function decline may require adjustment for age and sex to prevent overdiagnosis of chronic kidney disease in aging populations.
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Affiliation(s)
- Anna C van der Burgh
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Dimitris Rizopoulos
- Department of Biostatistics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ewout J Hoorn
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Layal Chaker
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Napoli N. Nephropathy and chronic renal insufficiency. JOURNAL OF GERONTOLOGY AND GERIATRICS 2021. [DOI: 10.36150/2499-6564-n455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Xu L, Liu J, Li D, Yang H, Zhou Y, Yang J. Association between metabolic syndrome components and chronic kidney disease among 37,533 old Chinese individuals. Int Urol Nephrol 2021; 54:1445-1454. [PMID: 34671893 PMCID: PMC9085695 DOI: 10.1007/s11255-021-03013-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/04/2021] [Indexed: 01/19/2023]
Abstract
Background Chronic kidney disease (CKD) has become a worldwide health problem among aging populations. However, epidemiological information on Chinese elderly people with CKD is still lacking. This study aimed to investigate the epidemiological features and associated risk factors of CKD in aging population in China. Methods In this cross-sectional study, a total of 37,533 individuals aged ≥ 65 years were enrolled in Binhai from January to December 2018. The crude and standardized prevalence of CKD were calculated. Associations of metabolism-related indicators with CKD were examined using univariate and multivariate analyses. Results The overall prevalence of CKD was 17.7% (95% confidence interval 17.3–18.1%) in this Chinese elderly population. The prevalence was 17.5% among men (95% CI 17.0–18.1%) and 17.8% among women (95% CI 17.3–18.4%). The mean eGFR was 84.22 (SD ± 12.87) mL/min/1.73 m2, with the median value higher for women than for men. Conclusion Our study shows a high prevalence of CKD among Chinese elderly population. Aging, pre-HTN, HTN, elevated triglyceride, and FBG were associated with the risk of CKD. More attention should be paid to metabolic diseases to prevent CKD in the elderly.
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Affiliation(s)
- Lingling Xu
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, 262N Zhongshan Road, Nanjing, 210003, Jiangsu, China
| | - Jin Liu
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, 262N Zhongshan Road, Nanjing, 210003, Jiangsu, China
| | - Dongling Li
- Department of Nephrology, People's Hospital of Binhai County, Yancheng, 224500, Jiangsu, China
| | - Hua Yang
- Department of Nephrology, People's Hospital of Binhai County, Yancheng, 224500, Jiangsu, China
| | - Yang Zhou
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, 262N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
| | - Junwei Yang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, 262N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
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Chesnaye NC, Dekker FW, Evans M, Caskey FJ, Torino C, Postorino M, Szymczak M, Ramspek CL, Drechsler C, Wanner C, Jager KJ. Renal function decline in older men and women with advanced chronic kidney disease-results from the EQUAL study. Nephrol Dial Transplant 2021; 36:1656-1663. [PMID: 32591814 PMCID: PMC8396396 DOI: 10.1093/ndt/gfaa095] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 04/06/2020] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Understanding the mechanisms underlying the differences in renal decline between men and women may improve sex-specific clinical monitoring and management. To this end, we aimed to compare the slope of renal function decline in older men and women in chronic kidney disease (CKD) Stages 4 and 5, taking into account informative censoring related to the sex-specific risks of mortality and dialysis initiation. METHODS The European QUALity Study on treatment in advanced CKD (EQUAL) study is an observational prospective cohort study in Stages 4 and 5 CKD patients ≥65 years not on dialysis. Data on clinical and demographic patient characteristics were collected between April 2012 and December 2018. Estimated glomerular filtration rate (eGFR) was calculated using the CKD Epidemiology Collaboration equation. eGFR trajectory by sex was modelled using linear mixed models, and joint models were applied to deal with informative censoring. RESULTS We included 7801 eGFR measurements in 1682 patients over a total of 2911 years of follow-up. Renal function declined by 14.0% [95% confidence interval (CI) 12.9-15.1%] on average each year. Renal function declined faster in men (16.2%/year, 95% CI 15.9-17.1%) compared with women (9.6%/year, 95% CI 6.3-12.1%), which remained largely unchanged after accounting for various mediators and for informative censoring due to mortality and dialysis initiation. Diabetes was identified as an important determinant of renal decline specifically in women. CONCLUSION In conclusion, renal function declines faster in men compared with women, which remained similar after adjustment for mediators and despite a higher risk of informative censoring in men. We demonstrate a disproportional negative impact of diabetes specifically in women.
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Affiliation(s)
- Nicholas C Chesnaye
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Friedo W Dekker
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marie Evans
- Renal Unit, Department of Clinical Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Fergus J Caskey
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claudia Torino
- IFC-CNR, Clinical Epidemiology and Pathophysiology of Renal Diseases and Hypertension and G.O.M., Bianchi Melacrino Morelli, Reggio Calabria, Italy
| | - Maurizio Postorino
- IFC-CNR, Clinical Epidemiology and Pathophysiology of Renal Diseases and Hypertension and G.O.M., Bianchi Melacrino Morelli, Reggio Calabria, Italy
| | - Maciej Szymczak
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Chava L Ramspek
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Christoph Wanner
- Division of Nephrology, University Hospital of Wurzburg, Wurzburg, Germany
| | - Kitty J Jager
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Gong W, Luo C, Peng F, Xiao J, Zeng Y, Yin B, Chen X, Li S, He X, Liu Y, Cao H, Xu J, Long H. Brahma-related gene-1 promotes tubular senescence and renal fibrosis through Wnt/β-catenin/autophagy axis. Clin Sci (Lond) 2021; 135:1873-1895. [PMID: 34318888 PMCID: PMC8358963 DOI: 10.1042/cs20210447] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/09/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Although accelerated cellular senescence is closely related to the progression of chronic kidney disease (CKD) and renal fibrosis, the underlying mechanisms remain largely unknown. Here, we reported that tubular aberrant expression of Brahma-related gene 1 (BRG1), an enzymatic subunit of the SWItch/Sucrose Non-Fermentable complex, is critically involved in tubular senescence and renal fibrosis. BRG1 was significantly up-regulated in the kidneys, predominantly in tubular epithelial cells, of both CKD patients and unilateral ureteral obstruction (UUO) mice. In vivo, shRNA-mediated knockdown of BRG1 significantly ameliorated renal fibrosis, improved tubular senescence, and inhibited UUO-induced activation of Wnt/β-catenin pathway. In mouse renal tubular epithelial cells (mTECs) and primary renal tubular cells, inhibition of BRG1 diminished transforming growth factor-β1 (TGF-β1)-induced cellular senescence and fibrotic responses. Correspondingly, ectopic expression of BRG1 in mTECs or normal kidneys increased p16INK4a, p19ARF, and p21 expression and senescence-associated β-galactosidase (SA-β-gal) activity, indicating accelerated tubular senescence. Additionally, BRG1-mediated pro-fibrotic responses were largely abolished by small interfering RNA (siRNA)-mediated p16INK4a silencing in vitro or continuous senolytic treatment with ABT-263 in vivo. Moreover, BRG1 activated the Wnt/β-catenin pathway, which further inhibited autophagy. Pharmacologic inhibition of the Wnt/β-catenin pathway (ICG-001) or rapamycin (RAPA)-mediated activation of autophagy effectively blocked BRG1-induced tubular senescence and fibrotic responses, while bafilomycin A1 (Baf A1)-mediated inhibition of autophagy abolished the effects of ICG-001. Further, BRG1 altered the secretome of senescent tubular cells, which promoted proliferation and activation of fibroblasts. Taken together, our results indicate that BRG1 induces tubular senescence by inhibiting autophagy via the Wnt/β-catenin pathway, which ultimately contributes to the development of renal fibrosis.
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Affiliation(s)
- Wangqiu Gong
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Congwei Luo
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Fenfen Peng
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Jing Xiao
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Yiqun Zeng
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Bohui Yin
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Xiaowen Chen
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Shuting Li
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Xiaoyang He
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Yanxia Liu
- Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Huihui Cao
- Traditional Chinese Pharmacological Laboratory, Third Level Research Laboratory of State Administration of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
| | - Jiangping Xu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Haibo Long
- Department of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
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S J, G B, M S, Balasubramanian S. A Spectrum of Biopsy - Proven Renal Disorders and Their Clinicopathological Correlation in Elderly Population From a Tertiary Care Center in South India. Cureus 2021; 13:e17031. [PMID: 34381661 PMCID: PMC8351875 DOI: 10.7759/cureus.17031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2021] [Indexed: 11/25/2022] Open
Abstract
Introduction Chronic kidney disease (CKD) has become a health concern with an extensive burden on incidence and prognosis. While the increasing lifespan contributes to a higher incidence of CKD among the elderly, the diagnostic picture in this age group is complicated by senescence-related changes. A better understanding of the etiology and progression of the disease warrants renal biopsy in such patients. This study aims to explore the histopathological spectrum of native renal biopsies leading to CKD in elderly patients in a tertiary care hospital. Methods Among the list of patients who had undergone renal biopsy at our institute from January 2015 to March 2020, elderly patients aged ≥ 60years were chosen for this study. Their demographic details, lab investigations and histopathological reports were collected. The sex distribution and prevalence of different renal diseases was calculated. The subjects were classified into four broad diagnostic groups - primary glomerular disease, diabetic nephropathy, hypertensive nephropathy, and tubulointerstitial disease. The estimated glomerular filtration rate (eGFR) values were calculated and used to stage chronic kidney disease in these patients. Statistical analysis was carried out to find a correlation between diagnostic groups and CKD presence and between serum C3 values and immunofluorescence for the same on biopsy. Results One hundred thirty-two patients formed the study sample with a male to female ratio of 1.28:1, showing a slight male predominance. The most common diagnostic group was primary glomerular disease (46%), among which focal segmental glomerulosclerosis (FSGS) was the most common entity (12%). 47.7% and 66.6% of patients in the study sample showed elevated serum blood urea nitrogen (BUN) and creatinine values, respectively. 86% of our study sample had low eGFR values, and the majority (35%) of the patients were classified under CKD stage 3. CKD incidence was high among patients with primary glomerular diseases, but no significant statistical correlation was found. 43.5% of all IF positive cases showed low serum C3 values and established a positive correlation between IF and serum C3 values. Conclusion There is no statistically significant correlation of the four diagnostic groups to the CKD. CKD in the elderly may be multifactorial, and a collaborative study across the nations may be needed to further evaluate the etiology.
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Affiliation(s)
- Josephine S
- Pathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
| | - Barathi G
- Pathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
| | - Susruthan M
- Pathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND
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37
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Akazawa S, Sadashima E, Sera Y, Koga N. Decline in the estimated glomerular filtration rate (eGFR) following metabolic control and its relationship with baseline eGFR in type 2 diabetes with microalbuminuria or macroalbuminuria. Diabetol Int 2021; 13:148-159. [DOI: 10.1007/s13340-021-00517-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/02/2021] [Indexed: 10/20/2022]
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38
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Gopalan J, Omar MH, Roy A, Cruz NM, Falcone J, Jones KN, Forbush KA, Himmelfarb J, Freedman BS, Scott JD. Targeting an anchored phosphatase-deacetylase unit restores renal ciliary homeostasis. eLife 2021; 10:e67828. [PMID: 34250905 PMCID: PMC8291974 DOI: 10.7554/elife.67828] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/11/2021] [Indexed: 11/13/2022] Open
Abstract
Pathophysiological defects in water homeostasis can lead to renal failure. Likewise, common genetic disorders associated with abnormal cytoskeletal dynamics in the kidney collecting ducts and perturbed calcium and cAMP signaling in the ciliary compartment contribute to chronic kidney failure. We show that collecting ducts in mice lacking the A-Kinase anchoring protein AKAP220 exhibit enhanced development of primary cilia. Mechanistic studies reveal that AKAP220-associated protein phosphatase 1 (PP1) mediates this phenotype by promoting changes in the stability of histone deacetylase 6 (HDAC6) with concomitant defects in actin dynamics. This proceeds through a previously unrecognized adaptor function for PP1 as all ciliogenesis and cytoskeletal phenotypes are recapitulated in mIMCD3 knock-in cells expressing a phosphatase-targeting defective AKAP220-ΔPP1 mutant. Pharmacological blocking of local HDAC6 activity alters cilia development and reduces cystogenesis in kidney-on-chip and organoid models. These findings identify the AKAP220-PPI-HDAC6 pathway as a key effector in primary cilia development.
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Affiliation(s)
- Janani Gopalan
- Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Mitchell H Omar
- Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Ankita Roy
- Kidney Research Institute, Division of Nephrology, Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
- Institute for Stem Cell and Regenerative Medicine, University of WashingtonSeattleUnited States
| | - Nelly M Cruz
- Kidney Research Institute, Division of Nephrology, Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
- Institute for Stem Cell and Regenerative Medicine, University of WashingtonSeattleUnited States
| | - Jerome Falcone
- Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Kiana N Jones
- Department of Pharmacology, University of WashingtonSeattleUnited States
| | | | - Jonathan Himmelfarb
- Kidney Research Institute, Division of Nephrology, Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
| | - Benjamin S Freedman
- Kidney Research Institute, Division of Nephrology, Department of Laboratory Medicine and Pathology, University of WashingtonSeattleUnited States
- Institute for Stem Cell and Regenerative Medicine, University of WashingtonSeattleUnited States
| | - John D Scott
- Department of Pharmacology, University of WashingtonSeattleUnited States
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The distribution of eGFR by age in a community-based healthy population: the Japan specific health checkups study (J-SHC study). Clin Exp Nephrol 2021; 25:1303-1310. [PMID: 34216288 DOI: 10.1007/s10157-021-02107-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/27/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Renal function gradually declines with age. However, the association between changes in renal function and healthy aging has not been determined. This study examined the distribution of estimated glomerular filtration rate (eGFR) values in healthy subjects by age using large-scale cross-sectional data of health check-up participants in Japan. METHODS Among the 394,180 health check-up participants, 75,217 (19.1%) subjects without hypertension, diabetes, hyperlipidemia, obesity, proteinuria, smoking, past history of cardiovascular diseases, and renal failure/not undergoing dialysis were included in the healthy group. The distribution of eGFR values was determined at each age between 39 and 74 years. RESULTS in healthy subjects, the mean (± 2 SD range) values of eGFR (mL/min/1.73 m2) at ages 40, 50, 60, and 70 were 88.0 (55.4-121.7), 82.3 (51.2-113.3), 77.8 (48.1-107.6), and 72.9 (44.7-101.1), respectively. The difference in the mean eGFR by age was almost constant across all ages. In the linear regression analysis adjusted for sex, the regression coefficient of mean eGFR for a one-year increase in age was -0.46 mL/min/1.73 m2 in healthy subjects (P < 0.001). By sex, the distribution of eGFR and the 1-year change in eGFR showed similar results in both men and women. CONCLUSIONS Renal function slowly declined with age in a healthy population; however, it was relatively preserved until the mid 70 s. This result suggests that a decline in renal function often observed in the elderly does not attribute to aging alone, and further examination might be required to clarify the cause of renal impairment.
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Santos J, Oliveira P, Severo M, Lobato L, Cabrita A, Fonseca I. Different kidney function trajectory patterns before dialysis in elderly patients: clinical implications and outcomes. Ren Fail 2021; 43:1049-1059. [PMID: 34187290 PMCID: PMC8253175 DOI: 10.1080/0886022x.2021.1945464] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background. Identifying trajectories of kidney disease progression in chronic kidney disease (CKD) patients may help to deliver better care. We aimed to identify and characterize trajectories of renal function decline in CKD patients and to investigate their association with mortality after dialysis. Methods. This retrospective cohort study included 378 CKD patients who initiated dialysis (aged 65 years and over) between 2009 and 2016. Were considered mixed models using linear quadratic and cubic models to define the trajectories, and we used probabilistic clustering procedures. Patient characteristics and care practices at and before dialysis were examined by multivariable multinomial logistic regression. The association of these trajectories with mortality after dialysis was examined using Cox models. Results. Four distinct groups of eGFR trajectories decline before dialysis were identified: slower decline (18.3%), gradual decline (18.3%), early rapid decline (41.2%), and rapid decline (22.2%). Patients with rapid eGFR decline were more likely to have diabetes, more cognitive impairment, to have been hospitalized before dialysis, and were less likely to have received pre-dialysis care compared to the patients with a slower decline. They had a higher risk of death within the first and fourth year after dialysis initiation, and after being more than 4 years in dialysis. Conclusions. There are different patterns of eGFR trajectories before dialysis initiation in the elderly, that may help to identify those who are more likely to experience an accelerated decline in kidney function, with impact on pre ESKD care and in the mortality risk after dialysis.
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Affiliation(s)
- Josefina Santos
- Nephrology Department, Centro Hospitalar Universitário do Porto (CHUP), Porto, Portugal.,Unit for Multidisciplinary Research in Biomedicine, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - Pedro Oliveira
- EPI Unit, ISPUP - Institute of Public Health, University of Porto, Porto, Portugal.,Department of Population Studies, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - Milton Severo
- EPI Unit, ISPUP - Institute of Public Health, University of Porto, Porto, Portugal
| | - Luísa Lobato
- Nephrology Department, Centro Hospitalar Universitário do Porto (CHUP), Porto, Portugal.,Unit for Multidisciplinary Research in Biomedicine, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - António Cabrita
- Nephrology Department, Centro Hospitalar Universitário do Porto (CHUP), Porto, Portugal
| | - Isabel Fonseca
- Nephrology Department, Centro Hospitalar Universitário do Porto (CHUP), Porto, Portugal.,Unit for Multidisciplinary Research in Biomedicine, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.,EPI Unit, ISPUP - Institute of Public Health, University of Porto, Porto, Portugal
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41
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Farah RI, Al-Sabbagh MQ, Momani MS, Albtoosh A, Arabiat M, Abdulraheem AM, Aljabiri H, Abufaraj M. Diabetic kidney disease in patients with type 2 diabetes mellitus: a cross-sectional study. BMC Nephrol 2021; 22:223. [PMID: 34134654 PMCID: PMC8207700 DOI: 10.1186/s12882-021-02429-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/31/2021] [Indexed: 12/16/2022] Open
Abstract
Aim Diabetic kidney disease (DKD) is a major long-term complication of diabetes mellitus (DM). Given the paucity of data on DKD in Jordan, we aimed to evaluate the prevalence, characteristics and correlates of DKD in Jordanian patients with type 2 DM. Methods This cross-sectional study included 1398 adult patients with type 2 DM who sought medical advice in the endocrinology clinic between March and September 2019. Demographic, clinical and laboratory data were reviewed. DKD was defined as reduced eGFR, and/or albuminuria. Three regression models were constructed to identify factors associated with CKD stages, albuminuria and DKD. Results Overall, 701 (50.14%) patients had DKD, with a median age of 59.71 ± 11.36 years. Older age, high triglycerides, and low high-density lipoprotein were associated with DKD (multivariable odds ratio [OR]: 1.02, 95% confidence interval [CI]: 1.01–1.03, p < 0.01; OR: 1.1, 95% CI: 1.01–1.2; and OR: 0.98, 95% CI: 0.97–0.99, p < 0.01 respectively). Metformin and renin-angiotensin system blockers were negatively associated with albuminuria and chronic kidney disease stages (p < 0.01). Conclusion Our study demonstrated that approximately one half of patients with type 2 DM had DKD. Further studies are necessary to understand this high prevalence and the underlying factors. Future research are needed to assess implementing targeted community-based intervention.
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Affiliation(s)
- Randa I Farah
- Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan.
| | | | - Munther S Momani
- Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan
| | - Asma Albtoosh
- Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan
| | - Majd Arabiat
- Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan
| | | | | | - Mohammad Abufaraj
- Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan.,Department of Urology, Medical University of Vienna, Vienna, Austria
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Zicarelli MT, Patella G, Bolignano D, Comi A, Cianfrone P, Comi N, Presta P, Fuiano G, Castagna A, Ruotolo G, Andreucci M, Coppolino G. Nephrosclerosis impacts time trajectory of renal function and outcomes in elderly individuals with chronic kidney disease. J Investig Med 2021; 69:1411-1416. [PMID: 34127513 DOI: 10.1136/jim-2021-001854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2021] [Indexed: 12/22/2022]
Abstract
Despite hypertension ranks among the leading causes of chronic kidney disease (CKD), the impact of chronic hypertensive nephropathy, the so-called 'nephrosclerosis' (NS), on CKD progression is often unpredictable, particularly in elderly population. We have conducted a prospective, observational study to define renal function patterns and outcomes in elderly CKD individuals with or without NS. Three hundred four individuals with an already established CKD were categorized according to the etiology of CKD. NS was defined as the presence of CKD associated with long-term essential hypertension, hypertensive retinopathy, left ventricular hypertrophy and minimal proteinuria. Time trajectories in estimated glomerular filtration rate (eGFR) (CKD-Epi) were computed over a 4-year follow-up. In addition, we analyzed the occurrence of a composite outcome of doubling of serum creatinine levels, eGFR reduction ≥25% and/or the need of chronic renal replacement therapy. CKD was secondary to nephrosclerosis (CKD-NS) in 220 (72.3%). In the whole cohort, the average estimated annual GFR slope was 1.8 mL/min/1.73 m2 eGFR decline was slower in CKD-NS as compared with others (1.4 vs 3.4 mL/min/1.73 m2; p<0.001). The composite renal outcome during follow-up occurred less frequently among elderly with CKD-NS (16/204 vs 14/70; p=0.01, crude HR 0.43, 95% CI 0.22 to 0.85) and was associated at logistic analyses with the etiology of CKD, background cardiovascular disease, total and low density lipoproteins (LDL) cholesterol, and glycemia levels (p value was ranging from 0.01 to 0.05). Despite being highly prevalent in the elderly, NS is associated with a more favorable renal disease course as compared with other conditions.
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Affiliation(s)
- Maria Teresa Zicarelli
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Gemma Patella
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Davide Bolignano
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Alessandro Comi
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Paola Cianfrone
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Nicolino Comi
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Pierangela Presta
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Giorgio Fuiano
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | | | - Giovanni Ruotolo
- Department of Medicine, Pugliese Ciaccio Hospital, Catanzaro, Calabria, Italy
| | - Michele Andreucci
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
| | - Giuseppe Coppolino
- Nephrology and Dialysis Unit, Department of Health Sciences, Magna Graecia University of Catanzaro, Catanzaro, Calabria, Italy
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Ataga KI, Zhou Q, Derebail VK, Saraf SL, Hankins JS, Loehr LR, Garrett ME, Ashley-Koch AE, Cai J, Telen MJ. Rapid decline in estimated glomerular filtration rate in sickle cell anemia: results of a multicenter pooled analysis. Haematologica 2021; 106:1749-1753. [PMID: 33179474 PMCID: PMC8168505 DOI: 10.3324/haematol.2020.267419] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Indexed: 01/10/2023] Open
Abstract
Not available.
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Affiliation(s)
- Kenneth I Ataga
- Center for Sickle Cell Disease, University of Tennessee Health Scienter Center, Memphis, TN.
| | - Qingning Zhou
- Department of Mathematics and Statistics, University of North Carolina, Charlotte
| | - Vimal K Derebail
- Division of Nephrology and Hypertension, University of North Carolina, Chapel Hill
| | - Santosh L Saraf
- Division of Hematology/Oncology, University of Illinois, Chicago, IL
| | - Jane S Hankins
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN
| | - Laura R Loehr
- Division of General Medicine and Clinical Epidemiology, University of North Carolina, Chapel Hill
| | - Melanie E Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham
| | | | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill
| | - Marilyn J Telen
- Division of Hematology, Duke University Medical Center, Durham
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44
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Tuğcu M, Barutçu Ataş D. Chronic kidney disease progression in aged patients. Int Urol Nephrol 2021; 53:2619-2625. [PMID: 33677699 DOI: 10.1007/s11255-021-02806-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 02/08/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Chronic kidney disease (CKD) is a major morbidity, and its prevalence increases with age. However, there appears to be some confusion about the prognosis of CKD in aged patients, because, it has its own characteristics different from youngers. In this study, we investigated the progression of CKD and related factors in aged patients. METHODS This was a retrospective study including 334 patients over 80 years of age that were diagnosed with stage 3-4 CKD at our CKD clinic. CKD progression was assessed as an annual decline in the estimated glomerular filtration rate (eGFR). Comorbidities were globally categorized with the Charlson comorbidity index (CCI), but diabetes mellitus, hypertension, and cardiac morbidities were evaluated separately. Patients were grouped as either 'progression to end-stage renal disease (ESRD)' or 'others'. RESULTS During the follow-up period, 191 (57.2%) patients exhibited progression; the annual median eGFR declined by 0.8 ml/min/1.73 m2. Only 27 (8.1%) of these patients progressed to ESRD. In univariant and multivariate models, respectively, progressing to ESRD was significantly associated with cardiac comorbidities (p < 0.001, p < 0.001), proteinuria (p < 0.001, p = 0.03), and the baseline eGFR value (p < 0.001, p < 0.001). CONCLUSION In aged patients, CKD progressed slowly, but particularly high initial creatinine levels and proteinuria could be indicator of progression. In addition, cardiac comorbidities may facilitate progression to ESRD.
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Affiliation(s)
- Murat Tuğcu
- Marmara University Pendik Training and Research Hospital, Fevzi Çakmak District, Muhsin Yazıcıoğlu Street No:10 Pendik, 34899, Istanbul, Turkey.
| | - Dilek Barutçu Ataş
- Marmara University Pendik Training and Research Hospital, Fevzi Çakmak District, Muhsin Yazıcıoğlu Street No:10 Pendik, 34899, Istanbul, Turkey
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Lautenbach A, Wienecke JW, Stoll F, Riedel N, Mann O, Huber TB, Busch P, Aberle J. Bariatric Surgery Is Protective Against Renal Function Decline in Severely Obese Patients in the Long-Term. Obes Surg 2021; 31:1038-1045. [PMID: 33161461 PMCID: PMC7921037 DOI: 10.1007/s11695-020-05096-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 11/15/2022]
Abstract
PURPOSE This study aims to assess the long-term renal effects of bariatric surgery (BS) in severely obese patients over a follow-up period of up to 11 years. MATERIALS AND METHODS In a retrospective cohort study including 102 patients, patients were stratified by eGFR at baseline and divided into three groups: (1) reduced, (2) normal, and (3) increased filtration rate. Adjustments for age- and sex-related decline in eGFR were performed. We used uni- and multivariate regression analysis to identify variables that were thought to determine change in eGFR. RESULTS Over a median follow-up of 8.5 years (interquartile range 2.7), eGFR declined from 96.1 ± 20.7 to 84.9 ± 21.0 ml/min (p < 0.001). Among patients with (1), eGFR remained stable (69.1 ± 19.3 ml/min). Among patients with (2), eGFR declined from 99.7 ± 13.3 ml/min to 88.7 ± 19.4 ml/min (p < 0.001). Among patients with (3), eGFR decreased to normal levels (94.2 ± 17.7 ml/min, p < 0.001). Age- and sex-adjusted eGFR increased (6.4 ± 14.4 ml/min; p < 0.05) among patients with reduced filtration rate. Among patients with normal filtration rate, adjusted eGFR remained stable during follow-up (-1.3 ± 15.2 ml/min; n.s.). Among patients with increased filtration rate, adjusted eGFR decreased and remained within the normal range (-13.2 ± 12.2 ml/min; p < 0.001). Change in eGFR showed a negative correlation with eGFR at baseline (B = -0.31; p < 0.001), change in LDL-cholesterol (B = -0.09; p < 0.05), and a negative correlation with treatment requiring hypertension (B = -9.36; p = 0.001). CONCLUSION BS is protective against renal function decline in severely obese patients in the long term.
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Affiliation(s)
- Anne Lautenbach
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Jan-Wilhelm Wienecke
- Department of Psychiatry, Asklepios Clinic North-Ochsenzoll, Langenhorner Chaussee 560, 22419 Hamburg, Germany
| | - Fabian Stoll
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Nina Riedel
- Faculty of Life Sciences, Department of Nutrition and Home Economics, Hamburg University of Applied Sciences, Ulmenliet 20, 21033 Hamburg, Germany
| | - Oliver Mann
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Tobias B. Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Philipp Busch
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
| | - Jens Aberle
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany
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Wang M, Sun X, Zhang W, Zhang Q, Qian J, Chen W, Yao S, Jin L, Kalantar-Zadeh K, Wang X, Chen J. Frailty and the risk of kidney function decline in the elderly population: the Rugao Longevity and Ageing Study. Nephrol Dial Transplant 2021; 36:2274-2281. [PMID: 33537782 DOI: 10.1093/ndt/gfaa323] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The diverse risk factors for kidney impairments suggest that kidney function decline is more likely to occur in individuals with a broadly constituted health deficit. Here we conducted a longitudinal cohort study to evaluate the association of baseline frailty status with the risk of estimated glomerular filtration rate (eGFR) decline. METHODS Overall, 1269 participants aged 70-84 years from Rugao Longevity and Ageing cohort with 3-year follow-up were included. Frailty was measured using a modified Fried frailty assessment. GFR was estimated using the Chronic Kidney Disease Epidemiology Collaboration equation. Associations between baseline frailty status and rapid eGFR decline were examined by multinomial logistic analysis. A linear mixed-effect model was used to determine eGFR decline in mL/min/1.73 m2 over the study period comparing those with frail or prefrail at baseline versus those with robust status. RESULTS The mean (± standard deviation) age of participants was 75.1 ± 3.8 years. A total of 144 (11%) participants had rapid eGFR decline by at least 10% during the 3-year follow-up. Compared with robust status, baseline frail status was associated with a 2.48-fold [95% confidence interval (CI) 1.24-4.95] increased risk of rapid eGFR decline after multiple adjustments. In multivariate linear mixed model analysis, subjects with frail status but not prefrail status at baseline had a significant coefficient of -1.70 (95% CI -3.35 to -0.04) for the frail × visit term, which indicates an accelerated eGFR decline compared with robust subjects over the study period (P = 0.044). CONCLUSIONS Frailty may serve as an independent biomarker to predict the decline of kidney function.
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Affiliation(s)
- Mengjing Wang
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuehui Sun
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Weichen Zhang
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qian Zhang
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jing Qian
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weisheng Chen
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shun Yao
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Li Jin
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Kamyar Kalantar-Zadeh
- Division of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, CA, USA
- Fielding School of Public Health at UCLA, Los Angeles, CA, USA
- Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA, USA
| | - Xiaofeng Wang
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jing Chen
- Department of Nephrology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Zarora R, MacMillan F, Piya MK, Fernandes B, Simmons D. Effectiveness of a locality-based integrated diabetes care service on clinical outcomes. Intern Med J 2021; 52:975-981. [PMID: 33471370 DOI: 10.1111/imj.15211] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/11/2021] [Accepted: 01/12/2021] [Indexed: 12/01/2022]
Abstract
AIMS To evaluate the effectiveness of a new locality-based integrated diabetes care service for people with Type 2 diabetes in an inner regional area. METHODS A quasi-experimental evaluation comparing baseline and follow up clinical data collected from general practices and specialist services participating in an integrated diabetes care programme in an inner-regional area. Patients had at least one specialist service consultation. The primary outcome was glycated haemoglobin (HbA1c). RESULTS Clinical data were collected for 178/239 patients (74.5% participation; aged 65± 11(SD) years, 46% female; median [interquartile range (IQR)] diabetes duration 19 (11.0-24.0) years from seven general practices over 33 months (median 18.5 months). There were reductions in HbA1c -0.7±1.6 % (8±18 mmol/mol) (p<0.001), systolic blood pressure -5.8±19.5 mmHg (p<0.001), diastolic blood pressure -2.4±14.3 mmHg (p=0.04), total cholesterol -0.5±1.3 mmol/l (p<0.001), low-density lipoprotein (LDL) -0.4±0.9 mmol/l (p<0.001), Body Mass Index -0.5±1.6 kg/m2 (p<0.001), weight -1.8±4.7 kg (p<0.001). Urine albumin creatinine ratio [median (IQR)] at baseline was 3.0 mg/mmol (0.7-7) vs follow up 1.9 mg/mmol (0.8-5.5) p< 0.54). CONCLUSIONS Glycaemia and cardiovascular risk factors can be reduced in patients with long-standing Type 2 diabetes by moving to a locality based integrated primary-secondary care diabetes care service. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Reetu Zarora
- Doctor of Philosophy student, School of Medicine, Western Sydney University.,Diabetes Obesity and Metabolism Translational Research Unit.,Macarthur Clinical School, Campbelltown, New South, Wales.,Western Sydney University, Locked Bag 1797, Penrith, New South Wales, 2751, Australia
| | - Freya MacMillan
- Diabetes Obesity and Metabolism Translational Research Unit.,Western Sydney University, Locked Bag 1797, Penrith, New South Wales, 2751, Australia.,Senior Lecturer, School of Health Science.,The Translational Health Research Institute.,Western Sydney University, Campbelltown, New South, Wales
| | - Milan K Piya
- Diabetes Obesity and Metabolism Translational Research Unit.,Macarthur Clinical School, Campbelltown, New South, Wales.,Western Sydney University, Locked Bag 1797, Penrith, New South Wales, 2751, Australia.,Senior Lecturer in Diabetes, School of Medicine, Western Sydney University
| | - Brunelle Fernandes
- Diabetes Obesity and Metabolism Translational Research Unit.,Registered Nurse/Credentialed Diabetes Educator.,Campbelltown Hospital, Campbelltown, New South Wales, 2751, Australia
| | - David Simmons
- Diabetes Obesity and Metabolism Translational Research Unit.,Macarthur Clinical School, Campbelltown, New South, Wales.,Western Sydney University, Locked Bag 1797, Penrith, New South Wales, 2751, Australia.,The Translational Health Research Institute.,Professor of Medicine, School of Medicine, Western Sydney University
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Kaewput W, Thongprayoon C, Chewcharat A, Rangsin R, Satirapoj B, Kaewput C, Suwannahitatorn P, Bathini T, Mao MA, Cato LD, Harrison AM, Vaitla P, Cheungpasitporn W. Rate of kidney function decline and factors predicting progression of kidney disease in type 2 diabetes mellitus patients with reduced kidney function: A nationwide retrospective cohort study. Ther Apher Dial 2020; 24:677-687. [PMID: 31997551 DOI: 10.1111/1744-9987.13480] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 12/17/2022]
Abstract
Currently, the data on independent risk factors for the progression of kidney disease in type 2 diabetes mellitus (T2DM) patients with CKD are limited. This study aimed to investigate CKD progression in T2DM patients who have reduced kidney function with baseline estimated glomerular filtration rate (eGFRs) between 15 and 59 mL/min/1.73 m2 . This study was composed of a nationwide retrospective cohort of adult T2DM patients from 831 public hospitals in Thailand during the year 2015. T2DM patients with CKD stages 3 and 4 were followed up, until development of CKD stage 5, requirement of chronic dialysis, loss to follow-up, death, or 31 May 2018, whichever came first. Cox proportional hazard regression was utilized for analysis. A total of 8464 participants were included; 30.4% were male. The mean age was 69 ± 10 years. The mean eGFR was 45 ± 11 mL/min/1.73 m2 . The incidence of CKD stage 5 or the need for chronic dialysis was 16.4 per 1000 person-years. The annual rate of eGFR decline during a mean follow-up of 29 months was -2.3 mL/min/1.73 m2 ; 14.4% had a rapid decline in eGFR. The risk factors associated with progression to CKD stage 5 or the need for chronic dialysis were diabetes duration, systolic blood pressure, serum uric acid, albuminuria, and baseline eGFR. Conversely, older age and the use of renin-angiotensin aldosterone system blockade were associated with decreased risks for rapid CKD progression and incidence CKD stage 5 or dialysis. This study identifies multiple predictive risk factors that support a multifaceted approach to prevent progression of advanced CKD.
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Affiliation(s)
- Wisit Kaewput
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
| | - Charat Thongprayoon
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Api Chewcharat
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ram Rangsin
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
| | - Bancha Satirapoj
- Division of Nephrology, Department of Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
| | - Chalermrat Kaewput
- Department of Radiology, Division of Nuclear Medicine, Mahidol University Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
| | | | - Tarun Bathini
- Department of Internal Medicine, University of Arizona, Tucson, Arizona
| | - Michael A Mao
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, Florida
| | - Liam D Cato
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Andrew M Harrison
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Pradeep Vaitla
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wisit Cheungpasitporn
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
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Toyama T, Kitagawa K, Oshima M, Kitajima S, Hara A, Iwata Y, Sakai N, Shimizu M, Hashiba A, Furuichi K, Wada T. Age differences in the relationships between risk factors and loss of kidney function: a general population cohort study. BMC Nephrol 2020; 21:477. [PMID: 33187480 PMCID: PMC7664087 DOI: 10.1186/s12882-020-02121-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 10/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Annual decline in kidney function is a widely applied surrogate outcome of renal failure. It is important to understand the relationships between known risk factors and the annual decline in estimated glomerular filtration rate (eGFR) according to baseline age; however, these remain unclear. METHODS A community-based retrospective cohort study of adults who underwent annual medical examinations between 1999 and 2013 was conducted. The participants were stratified into different age groups (40-49, 50-59, 60-69, 70-79, and ≥ 80 years) to assess the risk for loss of kidney function. A mixed-effects model was used to estimate the association between risk factors and annual changes in eGFR. RESULTS In total, 51,938 participants were included in the analysis. The age group of ≥80 years included 8127 individuals. The mean annual change in eGFR was - 0.39 (95% confidence interval: - 0.41 to - 0.37) mL/min/1.73 m2 per year. Older age was related to faster loss of kidney function. In the older age group, higher systolic blood pressure, proteinuria, and current smoking were related to faster loss of kidney function (p trend < 0.01, 0.03, and < 0.01, respectively). Conversely, each age group showed similar annual loss of kidney function related to lower hemoglobin levels and diabetes mellitus (p trend 0.47 and 0.17, respectively). CONCLUSIONS Higher systolic blood pressure, proteinuria, and smoking were related to faster loss of kidney function, and a greater effect size was observed in the older participants. More risk assessments for older people are required for personalized care.
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Affiliation(s)
- Tadashi Toyama
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan. .,Innovative Clinical Research Center, Kanazawa University, Kanazawa, Japan.
| | - Kiyoki Kitagawa
- Division of Internal Medicine, National Hospital Organization Kanazawa Medical Center, Kanazawa, Japan
| | - Megumi Oshima
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Shinji Kitajima
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Akinori Hara
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Yasunori Iwata
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Norihiko Sakai
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | - Miho Shimizu
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
| | | | - Kengo Furuichi
- Department of Nephrology, Kanazawa Medical University School of Medicine, Uchinada, Japan
| | - Takashi Wada
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
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50
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Masot O, Miranda J, Santamaría AL, Paraiso Pueyo E, Pascual A, Botigué T. Fluid Intake Recommendation Considering the Physiological Adaptations of Adults Over 65 Years: A Critical Review. Nutrients 2020; 12:E3383. [PMID: 33158071 PMCID: PMC7694182 DOI: 10.3390/nu12113383] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/29/2020] [Accepted: 10/31/2020] [Indexed: 01/17/2023] Open
Abstract
The aim of this critical review was to clarify recommended fluid intake for older people. A literature search of published articles and guidelines on fluid intake recommendations until April 2020 was carried out using PUBMED, Scopus, Cochrane, and Google Scholar. In this review, we focused on people over 65 years old at different care levels. The results show that the mean fluid intake ranges between 311 and 2390 mL/day. However, it is difficult to know whether this corresponds to the real pattern of fluid intake, due to the variability of data collection methods. With respect to the recommendations, most international organizations do not take into consideration the physiology of ageing or the health problems associated with an older population. In conclusions, we recommend to follow the guideline of the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Food Safety Authority (EFSA). ESPEN is the only guideline which takes into account age. It is also based on EFSA recommendations. This authority takes into consideration all fluids consumed (ranging from food to fluids). If it is known that around 20% of all fluids consumed come from food, the result would effectively be that the EFSA recommends the same as the ESPEN guidelines: 1.6 L/day for females and 2.0 L/day for males. The findings could help raise the awareness of professionals in the sector with respect to the required fluid intake of the elderly and, in this way, contribute to avoiding the consequences of dehydration.
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Affiliation(s)
- Olga Masot
- Department of Nursing and Physiotherapy, University of Lleida, 25198 Lleida, Spain; (O.M.); (A.L.S.); (E.P.P.); (A.P.); (T.B.)
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
| | - Jèssica Miranda
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
- Nursing Home and Day Center for the Elderly Balàfia II, Health services management (GSS), 25005 Lleida, Spain
| | - Ana Lavedán Santamaría
- Department of Nursing and Physiotherapy, University of Lleida, 25198 Lleida, Spain; (O.M.); (A.L.S.); (E.P.P.); (A.P.); (T.B.)
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
| | - Elena Paraiso Pueyo
- Department of Nursing and Physiotherapy, University of Lleida, 25198 Lleida, Spain; (O.M.); (A.L.S.); (E.P.P.); (A.P.); (T.B.)
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
| | - Alexandra Pascual
- Department of Nursing and Physiotherapy, University of Lleida, 25198 Lleida, Spain; (O.M.); (A.L.S.); (E.P.P.); (A.P.); (T.B.)
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
| | - Teresa Botigué
- Department of Nursing and Physiotherapy, University of Lleida, 25198 Lleida, Spain; (O.M.); (A.L.S.); (E.P.P.); (A.P.); (T.B.)
- Health Care Research Group (GRECS), Biomedical Research Institute of Lleida, 25196 Lleida, Spain
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