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Narasaki Y, Rhee CM, Kalantar-Zadeh K, Rastegar M. Why protein-energy wasting leads to faster progression of chronic kidney disease. Curr Opin Nephrol Hypertens 2025; 34:55-66. [PMID: 39611279 DOI: 10.1097/mnh.0000000000001035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
PURPOSE OF REVIEW Protein-energy wasting (PEW) is increasingly more prevalent as chronic kidney disease (CKD) progresses to more advanced stages. There is a global recognition of the importance of preventing and mitigating PEW in the CKD population not on dialysis given the goal of extending dialysis-free time and delaying dialysis initiation and growing evidence of the clinical consequences of PEW which include the risk of death, hospitalization and clinical conditions such as infections. We reviewed the association of PEW and the malnutrition characteristics indicative of PEW on CKD progression. RECENT FINDINGS Studies show the association between low serum albumin levels, low BMI, and diets with inadequate dietary energy and protein intake and CKD progression. Limited studies suggest low muscle mass impacts CKD progression. Optimizing nutrition by dietary management, including a moderately low protein (0.6-0.8 g/kg/day) and plant-based (>50% of protein source, known as PLADO) diet and as needed with supplementation [e.g. during acute kidney injury (AKI) event] administrated orally, enterally, or parenterally are the basis for the prevention and treatment of PEW in CKD and delaying CKD progression. Furthermore, other therapeutic methods such as treating or avoiding comorbidities and AKI, ensuring appropriate exercise and incremental transition to dialysis treatment may help ameliorate and prevent PEW development in CKD patients. SUMMARY Using tailored precision nutrition approaches and nutritional supplementation with or without other beneficial strategies may help prevent and treat PEW and its consequent occurrence of CKD progression.
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Affiliation(s)
- Yoko Narasaki
- Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles
- Tibor Rubin Veterans Affairs Long Beach Healthcare System, Long Beach
| | - Connie M Rhee
- Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles
- Nephrology Section, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles
- Division of Nephrology, Hypertension, and Kidney Transplantation, University of California Irvine, Orange
| | - Kamyar Kalantar-Zadeh
- Tibor Rubin Veterans Affairs Long Beach Healthcare System, Long Beach
- Division of Nephrology, Hypertension, and Kidney Transplantation, University of California Irvine, Orange
- The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Mandana Rastegar
- Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles
- Nephrology Section, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles
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Wakasugi M, Goto S. An increasing trend of overweight and obesity in the Japanese incident end-stage kidney disease population. Nephrology (Carlton) 2024; 29:884-894. [PMID: 39462505 PMCID: PMC11579560 DOI: 10.1111/nep.14410] [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: 05/28/2024] [Revised: 09/23/2024] [Accepted: 10/14/2024] [Indexed: 10/29/2024]
Abstract
AIM The global prevalence of overweight/obesity has been rising, and this trend is apparent in US and European incident end-stage kidney disease (ESKD) populations. We aimed to examine temporal trends in the prevalence of overweight/obesity and underweight among adult incident ESKD patients in Japan by year of dialysis initiation between 2006 and 2019 in comparison with those observed in the Japanese adult population during the same period. METHODS Using data from the Japanese Society of Dialysis Therapy Renal Data Registry and the National Health and Nutrition Survey, the sex-specific prevalence of overweight/obesity and that of underweight (BMI ≥ 25 kg/m2 and <18.5 kg/m2, respectively) were calculated, adjusted for age according to the 2019 Population Census via the direct method. Average annual percentage changes (AAPCs) and corresponding 95% confidence intervals (CIs) were calculated to examine trends. RESULTS From 2006 to 2019, the age-adjusted prevalence of overweight/obesity in the incident ESKD population increased for males (AAPC 3.36 [95% CI, 2.70 to 4.09]) and females (AAPC 2.86 [95% CI, 1.65 to 4.19]). The age-adjusted prevalence of overweight/obesity in the general population increased for males (AAPC 0.87 [95% CI, 0.26 to 1.42]) but not for females (AAPC 0.01 [95% CI, -0.55 to 0.57]). The age-adjusted prevalence of underweight in the incident ESKD population significantly decreased but was higher than that in the general population for both sexes. CONCLUSION An increasing trend of overweight/obesity was observed in the incident ESKD population in Japan. There is a pressing need to address both underweight and overweight/obesity in the incident ESKD population.
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Affiliation(s)
- Minako Wakasugi
- Department of Inter‐Organ Communication ResearchNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
| | - Shin Goto
- Division of Clinical Nephrology and RheumatologyNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
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Luna TB, Bello JLG, Carbonell AG, Montoya ADLCR, Lafargue AL, Ciria HMC, Zulueta YA. Integrating classification and regression learners with bioimpedance methods for estimating weight status in infants and juveniles from the southern Cuba region. BMC Pediatr 2024; 24:370. [PMID: 38811864 PMCID: PMC11134843 DOI: 10.1186/s12887-024-04841-9] [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: 03/21/2024] [Accepted: 05/17/2024] [Indexed: 05/31/2024] Open
Abstract
OBJECTIVE The search for other indicators to assess the weight and nutritional status of individuals is important as it may provide more accurate information and assist in personalized medicine. This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy younger volunteers from Southern Cuba Region. METHODS A pilot random study at the Pediatrics Hospital was conducted. The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 776 female and male volunteers are studied. Along the age and sex in the cohort, volunteers with class I obesity, overweight, underweight and with normal weight are considered. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. The bioimpedance analyser is used, collecting fundamental bioelectrical and other parameters of interest. A classification model are performed, followed by a prediction of the body mass index. RESULTS The results derived from the classification leaner reveal that the size, body density, phase angle, body mass index, fat-free mass, total body water volume according to Kotler, body surface area, extracellular water according to Kotler and sex largely govern the weight status of this population. In particular, the regression model shows that other bioparameters derived from impedance measurements can be associated with weight status estimation with high accuracy. CONCLUSION The classification and regression predictive models developed in this work are of the great importance to assist the diagnosis of weigh status with high accuracy. These models can be used for prompt weight status evaluation of younger individuals at the Pediatrics Hospital in Santiago de Cuba, Cuba.
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Affiliation(s)
- Taira Batista Luna
- Autonomous University of Santo Domingo (UASD), UASD Nagua Center, Nagua, Dominican Republic.
| | - Jose Luis García Bello
- Autonomous University of Santo Domingo (UASD), San Francisco de Macorís Campus, Santo Domingo, Dominican Republic
| | - Agustín Garzón Carbonell
- National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba
| | | | - Alcibíades Lara Lafargue
- National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba
| | - Héctor Manuel Camué Ciria
- National Center for Applied Electromagnetism (CNEA), Universidad de Oriente CP 90500, Santiago de Cuba, Cuba
| | - Yohandys A Zulueta
- Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, 90500, CP, Cuba.
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Kim E, Huh H, Mo Y, Park JY, Jung J, Lee H, Kim S, Kim DK, Kim YS, Lim CS, Lee JP, Kim YC, Kim H. Long-term ozone exposure and mortality in patients with chronic kidney disease: a large cohort study. BMC Nephrol 2024; 25:74. [PMID: 38418953 PMCID: PMC10900590 DOI: 10.1186/s12882-024-03500-6] [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: 12/19/2022] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Epidemiologic studies on the effects of long-term exposure to ozone (O3) have shown inconclusive results. It is unclear whether to O3 has an effect on chronic kidney disease (CKD). We investigated the effects of O3 on mortality and renal outcome in CKD. METHODS We included 61,073 participants and applied Cox proportional hazards models to examine the effects of ozone on the risk of end-stage renal disease (ESRD) and mortality in a two-pollutants model adjusted for socioeconomic status. We calculated the concentration of ozone exposure one year before enrollment and used inverse distance weighting (IDW) for interpolation, where the exposure was evenly distributed. RESULTS In the single pollutant model, O3 was significantly associated with an increased risk of ESRD and all-cause mortality. Based on the O3 concentration from IDW interpolation, this moving O3 average was significantly associated with an increased risk of ESRD and all-cause mortality. In a two-pollutants model, even after we adjusted for other measured pollutants, nitrogen dioxide did not attenuate the result for O3. The hazard ratio (HR) value for the district-level assessment is 1.025 with a 95% confidence interval (CI) of 1.014-1.035, while for the point-level assessment, the HR value is 1.04 with a 95% CI of 1.035-1.045. The impact of ozone on ESRD, hazard ratio (HR) values are, 1.049(95%CI: 1.044-1.054) at the district unit and 1.04 (95%CI: 1.031-1.05) at the individual address of the exposure assessment. The ozone hazard ratio for all-cause mortality was 1.012 (95% confidence interval: 1.008-1.017) for administrative districts and 1.04 (95% confidence interval: 1.031-1.05) for individual addresses. CONCLUSIONS This study suggests that long-term ambient O3 increases the risk of ESRD and mortality in CKD. The strategy to decrease O3 emissions will substantially benefit health and the environment.
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Affiliation(s)
- Ejin Kim
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Room 708, Building 220, Gwanak-Ro Gwanak-Gu, Seoul, 08826, Republic of Korea
- Department of Biostatistics and Epidemiology, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Hyuk Huh
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yongwon Mo
- Department of Landscape Architecture, Yeungnam University, Gyeongsan, Republic of Korea
| | - Jae Yoon Park
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Gyeonggi-Do, Republic of Korea
| | - Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
| | - Sejoong Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea.
| | - Ho Kim
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Room 708, Building 220, Gwanak-Ro Gwanak-Gu, Seoul, 08826, Republic of Korea.
- Department of Biostatistics and Epidemiology, School of Public Health, Seoul National University, Seoul, Republic of Korea.
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