1
|
Gao W, Sanna M, Chen YH, Tsai MK, Wen CP. Occupational Sitting Time, Leisure Physical Activity, and All-Cause and Cardiovascular Disease Mortality. JAMA Netw Open 2024; 7:e2350680. [PMID: 38241049 PMCID: PMC10799265 DOI: 10.1001/jamanetworkopen.2023.50680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/17/2023] [Indexed: 01/22/2024] Open
Abstract
Importance For the first time, the 2020 World Health Organization guidelines on physical activity recommended reducing sedentary behaviors owing to their health consequences. Less is known on the specific association of prolonged occupational sitting with health, especially in the context of low physical activity engagement. Objective To quantify health risks associated with prolonged occupational sitting and to determine whether there is a certain threshold of physical activity that may attenuate it. Design, Setting, and Participants This prospective cohort study included participants in a health surveillance program in Taiwan who were followed-up between 1996 and 2017. Data on occupational sitting, leisure-time physical activity (LTPA) habits, lifestyle, and metabolic parameters were collected. Data analysis was performed in December 2020. Main Outcomes and Measures The all-cause and cardiovascular disease (CVD) mortality associated with 3 occupational sitting volumes (mostly sitting, alternating sitting and nonsitting, and mostly nonsitting) were analyzed applying multivariable Cox regression models to calculate the hazard ratios (HRs) for all participants and by subgroups, including 5 LTPA levels and a personal activity intelligence (PAI)-oriented metric. Deaths occurring within the initial 2 years of follow-up were excluded to prevent reverse causality. Results The total cohort included 481 688 participants (mean [SD] age, 39.3 [12.8] years; 256 077 women [53.2%]). The study recorded 26 257 deaths during a mean (SD) follow-up period of 12.85 (5.67) years. After adjusting for sex, age, education, smoking, drinking, and body mass index, individuals who mostly sat at work had a 16% higher all-cause mortality risk (HR, 1.16; 95% CI, 1.11-1.20) and a 34% increased mortality risk from CVD (HR, 1.34; 95% CI, 1.22-1.46) compared with those who were mostly nonsitting at work. Individuals alternating sitting and nonsitting at work did not experience increased risk of all-cause mortality compared with individuals mostly nonsitting at work (HR, 1.01; 95% CI, 0.97-1.05). For individuals mostly sitting at work and engaging in low (15-29 minutes per day) or no (<15 minutes per day) LTPA, an increase in LTPA by 15 and 30 minutes per day, respectively, was associated with a reduction in mortality to a level similar to that of inactive individuals who mostly do not sit at work. In addition, individuals with a PAI score exceeding 100 experienced a notable reduction in the elevated mortality risk associated with prolonged occupational sitting. Conclusions and Relevance As part of modern lifestyles, prolonged occupational sitting is considered normal and has not received due attention, even though its deleterious effect on health outcomes has been demonstrated. In this study, alternating between sitting and nonsitting at work, as well as an extra 15 to 30 minutes per day of LTPA or achieving a PAI score greater than 100, attenuated the harms of prolonged occupational sitting. Emphasizing the associated harms and suggesting workplace system changes may help society to denormalize this common behavior, similar to the process of denormalizing smoking.
Collapse
Affiliation(s)
- Wayne Gao
- PhD Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei City, Taiwan
| | - Mattia Sanna
- Master’s Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei City, Taiwan
| | - Yea-Hung Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Min-Kuang Tsai
- Division of Nephrology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Chi-Pang Wen
- Institute of Population Health Science, National Health Research Institutes, Miaoli County, Taiwan
- China Medical University Hospital, Taichung City, Taiwan
| |
Collapse
|
2
|
Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, Surapaneni A, Alencar de Pinho N, Anderson A, Appel LJ, Ärnlöv J, Azizi F, Bansal N, Bell S, Bilo HJG, Brunskill NJ, Carrero JJ, Chadban S, Chalmers J, Chen J, Ciemins E, Cirillo M, Ebert N, Evans M, Ferreiro A, Fu EL, Fukagawa M, Green JA, Gutierrez OM, Herrington WG, Hwang SJ, Inker LA, Iseki K, Jafar T, Jassal SK, Jha V, Kadota A, Katz R, Köttgen A, Konta T, Kronenberg F, Lee BJ, Lees J, Levin A, Looker HC, Major R, Melzer Cohen C, Mieno M, Miyazaki M, Moranne O, Muraki I, Naimark D, Nitsch D, Oh W, Pena M, Purnell TS, Sabanayagam C, Satoh M, Sawhney S, Schaeffner E, Schöttker B, Shen JI, Shlipak MG, Sinha S, Stengel B, Sumida K, Tonelli M, Valdivielso JM, van Zuilen AD, Visseren FLJ, Wang AYM, Wen CP, Wheeler DC, Yatsuya H, Yamagata K, Yang JW, Young A, Zhang H, Zhang L, Levey AS, Gansevoort RT. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA 2023; 330:1266-1277. [PMID: 37787795 PMCID: PMC10548311 DOI: 10.1001/jama.2023.17002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 08/15/2023] [Indexed: 10/04/2023]
Abstract
Importance Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. Objective To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. Design, Setting, and Participants Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. Exposures The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). Main Outcomes and Measures The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. Results Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years]). Conclusions and Relevance In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations.
Collapse
Affiliation(s)
- Morgan E Grams
- Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York, New York
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Kunihiro Matsushita
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Shoshana H Ballew
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Yingying Sang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Aditya Surapaneni
- Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York, New York
| | - Natalia Alencar de Pinho
- Centre for Research in Epidemiology and Population Health, Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Amanda Anderson
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Lawrence J Appel
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Johan Ärnlöv
- School of Health and Social Studies, Dalarna University, Falun, Sweden
- Department of Neurobiology, Care Sciences, and Society, Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle
| | - Samira Bell
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, Scotland
| | - Henk J G Bilo
- Diabetes Centre and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nigel J Brunskill
- Department of Cardiovascular Sciences, University of Leicester, and John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, England
| | - Juan J Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, and Department of Clinical Science, Danderyd Hospital, Stockholm, Sweden
| | - Steve Chadban
- Department of Renal Medicine, Royal Prince Alfred Hospital, Sydney, Australia
| | - John Chalmers
- George Institute for Global Health, University of New South Wales, Sydney, Australia
- School of Public Health, Imperial College, London, England
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Jing Chen
- Department of Medicine, School of Medicine, Tulane University, New Orleans, Louisiana
| | | | - Massimo Cirillo
- Department Scuola Medica Salernitana, University of Salerno, Fisciano, Italy
| | - Natalie Ebert
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie Evans
- Department of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Alejandro Ferreiro
- Departamento de Nefrología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Edouard L Fu
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Masafumi Fukagawa
- Division of Nephrology, Endocrinology, and Metabolism, School of Medicine, Tokai University, Isehara, Japan
| | - Jamie A Green
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, Pennsylvania
- Center for Kidney Health Research, Geisinger, Danville, Pennsylvania
| | | | - William G Herrington
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, England
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, England
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, Massachusetts
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | | | - Tazeen Jafar
- Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Simerjot K Jassal
- University of California-San Diego, La Jolla
- San Diego VA Health Care System, San Diego, California
| | - Vivekanand Jha
- George Institute for Global Health India, New Delhi, India
- George Institute for Global Health, School of Public Health, Imperial College, London, England
| | - Aya Kadota
- Department of Public Health, NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Tsuneo Konta
- Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brian J Lee
- Kaiser Permanente, Hawaii Region, and Moanalua Medical Center, Honolulu, Hawai'i
| | - Jennifer Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, Scotland
| | - Adeera Levin
- Division of Nephrology, University of British Columbia, Vancouver, Canada
| | - Helen C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Rupert Major
- Department of Cardiovascular Sciences, University of Leicester, and John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, England
| | - Cheli Melzer Cohen
- Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel
| | - Makiko Mieno
- Department of Medical Informatics, Center for Information, Jichi Medical University, Tochigi, Japan
| | - Mariko Miyazaki
- Department of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Olivier Moranne
- Service de Néphrologie Dialyse Aphérèse, Nîmes Hôpital Universitaire, Nîmes, France
- IDESP, UMR-INSERM, Universite de Montpellier, Montpellier, France
| | - Isao Muraki
- Public Health, Osaka University Graduate School of Medicine, Suita, Japan
| | - David Naimark
- Department of Medicine and Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Dorothea Nitsch
- London School of Hygiene and Tropical Medicine, London, England
| | - Wonsuk Oh
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michelle Pena
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tanjala S Purnell
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Division of Transplantation, Department of Surgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Michihiro Satoh
- Division of Public Health, Hygiene, and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Simon Sawhney
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences, and Nutrition, University of Aberdeen, Aberdeen, Scotland
- NHS Grampian, Aberdeen, Scotland
| | - Elke Schaeffner
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Jenny I Shen
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
- Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco
- General Internal Medicine Division, Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Smeeta Sinha
- Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, England
| | - Benedicte Stengel
- Centre for Research in Epidemiology and Population Health, Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis
| | - Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jose M Valdivielso
- Vascular and Renal Translational Research Group, Biomedical Research Institute of Lleida, IRBLleida and University of Lleida, Lleida, Spain
| | - Arjan D van Zuilen
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China
| | - Chi-Pang Wen
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan/China Medical University Hospital, Taichung, Taiwan
| | - David C Wheeler
- Department of Renal Medicine, University College London, London, England
| | - Hiroshi Yatsuya
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | | | - Jae Won Yang
- Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Wonju, South Korea
| | - Ann Young
- Division of Nephrology, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- ICES Western, London, Ontario, Canada
| | - Haitao Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Luxia Zhang
- Peking University First Hospital, Beijing, China
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| |
Collapse
|
3
|
Tsai MK, Gao W, Wen CP. The relationship between alcohol consumption and health: J-shaped or less is more? BMC Med 2023; 21:228. [PMID: 37400823 DOI: 10.1186/s12916-023-02911-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 05/25/2023] [Indexed: 07/05/2023] Open
Affiliation(s)
- Min-Kuang Tsai
- Program in Global Health and Health Security, College of Public Health, Taipei Medical University, 250 Wuxing Street, 110, Taipei, Taiwan
| | - Wayne Gao
- Program in Global Health and Health Security, College of Public Health, Taipei Medical University, 250 Wuxing Street, 110, Taipei, Taiwan.
| | - Chi-Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- China Medical University Hospital, Taichung, Taiwan
| |
Collapse
|
4
|
Sun Y, Tsai MK, Wen CP. Association of sleep duration and sleeping pill use with mortality and life expectancy: A cohort study of 484,916 adults. Sleep Health 2023; 9:354-362. [PMID: 37045661 DOI: 10.1016/j.sleh.2023.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 01/15/2023] [Accepted: 01/31/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVES To compare mortality risk and life expectancy among individuals with different sleep durations and sleeping pill use. METHODS A cohort of 484,916 community-dwelling adults in Taiwan was recruited into a health screening program from 1994 to 2011. Subjects were categorized by daily sleep duration into 4 groups: extremely short (<4 hours), short (4-6 hours), medium (6-8 hours), and long (>8 hours). Cox proportional hazards models were used to investigate the associations of mortality risk with sleep duration and sleeping pill use. Models were adjusted for sociodemographic characteristics, lifestyle, and comorbidities. Life expectancy tables were calculated among sleeping pill users and nonusers with different sleep durations. RESULTS With 6- 8 hours of daily sleep, sleeping pill nonusers had the lowest mortality risk. Sleeping pill users, even with this optimal amount of sleep, had a 55% (p < .001, 95% CI, 1.38-1.73) higher mortality risk than nonusers. The life expectancy of 30-year-old male sleeping pill users with extremely short or long sleep durations was 12-13 years shorter than sleeping pill nonusers who had 6-8 hours of sleep. On average, life expectancy in individuals using sleeping pills (vs. nonusers) was shorter by 5.3 (95% CI, 4.10-6.32) years in men and 5.7 (95% CI, 5.28-7.98) years in women. CONCLUSIONS This study suggests that the use of sleeping pills is associated with an increased risk of mortality and shortened life expectancy, especially in extreme sleepers. Regular users should be aware of potential harms from sleeping pills.
Collapse
Affiliation(s)
- Yu Sun
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan; Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Min-Kuang Tsai
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Chi-Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan; China Medical University, Taichung, Taiwan.
| |
Collapse
|
5
|
Grams ME, Brunskill NJ, Ballew SH, Sang Y, Coresh J, Matsushita K, Surapaneni A, Bell S, Carrero JJ, Chodick G, Evans M, Heerspink HJ, Inker LA, Iseki K, Kalra PA, Kirchner HL, Lee BJ, Levin A, Major RW, Medcalf J, Nadkarni GN, Naimark DM, Ricardo AC, Sawhney S, Sood MM, Staplin N, Stempniewicz N, Stengel B, Sumida K, Traynor JP, van den Brand J, Wen CP, Woodward M, Yang JW, Wang AYM, Tangri N. The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts. J Am Soc Nephrol 2023; 34:482-494. [PMID: 36857500 PMCID: PMC10103205 DOI: 10.1681/asn.0000000000000050] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 10/23/2022] [Indexed: 01/28/2023] Open
Abstract
SIGNIFICANCE STATEMENT The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict 2- and 5-year risk of kidney failure in populations with eGFR <60 ml/min per 1.73 m 2 . However, the CKD-EPI 2021 creatinine equation for eGFR is now recommended for use but has not been fully tested in the context of KFRE. In 59 cohorts comprising 312,424 patients with CKD, the authors assessed the predictive performance and calibration associated with the use of the CKD-EPI 2021 equation and whether additional variables and accounting for the competing risk of death improves the KFRE's performance. The KFRE generally performed well using the CKD-EPI 2021 eGFR in populations with eGFR <45 ml/min per 1.73 m 2 and was not improved by adding the 2-year prior eGFR slope and cardiovascular comorbidities. BACKGROUND The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict kidney failure risk in people with GFR <60 ml/min per 1.73 m 2 . METHODS Using 59 cohorts with 312,424 patients with CKD, we tested several modifications to the KFRE for their potential to improve the KFRE: using the CKD-EPI 2021 creatinine equation for eGFR, substituting 1-year average ACR for single-measure ACR and 1-year average eGFR in participants with high eGFR variability, and adding 2-year prior eGFR slope and cardiovascular comorbidities. We also assessed calibration of the KFRE in subgroups of eGFR and age before and after accounting for the competing risk of death. RESULTS The KFRE remained accurate and well calibrated overall using the CKD-EPI 2021 eGFR equation. The other modifications did not improve KFRE performance. In subgroups of eGFR 45-59 ml/min per 1.73 m 2 and in older adults using the 5-year time horizon, the KFRE demonstrated systematic underprediction and overprediction, respectively. We developed and tested a new model with a spline term in eGFR and incorporating the competing risk of mortality, resulting in more accurate calibration in those specific subgroups but not overall. CONCLUSIONS The original KFRE is generally accurate for eGFR <45 ml/min per 1.73 m 2 when using the CKD-EPI 2021 equation. Incorporating competing risk methodology and splines for eGFR may improve calibration in low-risk settings with longer time horizons. Including historical averages, eGFR slopes, or a competing risk design did not meaningfully alter KFRE performance in most circumstances.
Collapse
Affiliation(s)
- Morgan E. Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, New York University Grossman School of Medicine, New York, New York
| | - Nigel J. Brunskill
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - Shoshana H. Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, New York University Grossman School of Medicine, New York, New York
| | - Samira Bell
- Renal Unit, Ninewells Hospital, Dundee, United Kingdom and Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Juan J. Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden
| | - Gabriel Chodick
- Medical Division, Maccabi Healthcare Services, and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Marie Evans
- Department of Clinical Intervention, and Technology (CLINTEC), Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Hiddo J.L. Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center, Groningen, Netherlands
| | | | | | - Philip A. Kalra
- Department of Renal Medicine, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom
| | - H. Lester Kirchner
- Department of Population Health Sciences, Geisinger, Danville, Pennsylvania
| | - Brian J. Lee
- Kaiser Permanente, Hawaii Region, and Moanalua Medical Center, Honolulu, Hawaii
| | - Adeera Levin
- Division of Nephrology, University of British Columbia, Vancouver, Canada
| | - Rupert W. Major
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - James Medcalf
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - Girish N. Nadkarni
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Ana C. Ricardo
- Department of Medicine, University of Illinois, Chicago, Illinois
| | - Simon Sawhney
- University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Manish M. Sood
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Division of Nephrology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Natalie Staplin
- MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Oxford, United Kingdom
| | - Nikita Stempniewicz
- AMGA (American Medical Group Association), Alexandria, Virginia and OptumLabs Visiting Fellow
| | - Benedicte Stengel
- Clinical Epidemiology Team, Centre for Research in Epidemiology and Population Health (CESP), University Paris-Saclay, UVSQ, Inserm, Villejuif, France
| | - Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Jamie P. Traynor
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital Glasgow Scotland, United Kingdom
| | - Jan van den Brand
- Department of Nephrology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Chi-Pang Wen
- National Health Research Institutes, Miaoli, Taiwan and China Medical University Hospital, Taichung, Taiwan
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- George Institute for Global Health, University of New South Wales, Sydney, Australia
- George Institute for Global Health, Imperial College London, London, United Kingdom
| | - Jae Won Yang
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR
| | - Navdeep Tangri
- Division of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Canada
| |
Collapse
|
6
|
Matsushita K, Kaptoge S, Hageman SHJ, Sang Y, Ballew SH, Grams ME, Surapaneni A, Sun L, Arnlov J, Bozic M, Brenner H, Brunskill NJ, Chang AR, Chinnadurai R, Cirillo M, Correa A, Ebert N, Eckardt KU, Gansevoort RT, Gutierrez O, Hadaegh F, He J, Hwang SJ, Jafar TH, Jassal SK, Kayama T, Kovesdy CP, Landman GW, Levey AS, Lloyd-Jones DM, Major RW, Miura K, Muntner P, Nadkarni GN, Nowak C, Ohkubo T, Pena MJ, Polkinghorne KR, Sairenchi T, Schaeffner E, Schneider MP, Shalev V, Shlipak MG, Solbu MD, Stempniewicz N, Tollitt J, Valdivielso JM, van der Leeuw J, Wang AYM, Wen CP, Woodward M, Yamagishi K, Yatsuya H, Zhang L, Dorresteijn JAN, Di Angelantonio E, Visseren FLJ, Pennells L, Coresh J. Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP. Eur J Prev Cardiol 2023; 30:8-16. [PMID: 35972749 PMCID: PMC9839538 DOI: 10.1093/eurjpc/zwac176] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Abstract
AIMS The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic coronary risk estimation 2 in older persons (SCORE2-OP), to predict CVD risk. We developed and validated an 'Add-on' to incorporate CKD measures into these algorithms, using a validated approach. METHODS In 3,054 840 participants from 34 datasets, we developed three Add-ons [eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR) (the primary Add-on), and eGFR + dipstick proteinuria] for SCORE2 and SCORE2-OP. We validated C-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997 719 participants from 34 different datasets. RESULTS In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved C-statistic by 0.006 (95%CI 0.004-0.008) and 0.016 (0.010-0.023), respectively, for SCORE2 and 0.012 (0.009-0.015) and 0.024 (0.014-0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57 485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI [e.g. 0.100 (0.062-0.138) for SCORE2] compared to the qualitative approach in the ESC guideline. CONCLUSION Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.
Collapse
Affiliation(s)
- Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Steven HJ Hageman
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Luanluan Sun
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Johan Arnlov
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Milica Bozic
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII) , Lleida , Spain
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) and Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Nigel J Brunskill
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom, Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Alex R Chang
- Department of Nephrology and Kidney Health Research Institute, Geisinger Medical Center, Danville, Pennsylvania
| | - Rajkumar Chinnadurai
- Department of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Massimo Cirillo
- Department of Public Health, University of Naples “Federico II”, Italy
| | | | - Natalie Ebert
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Orlando Gutierrez
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Farzad Hadaegh
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Tazeen H Jafar
- Program in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore, Department of Medicine, Aga Khan University, Karachi, Pakistan, and Duke Global Health Institute, Durham, Duke University, North Carolina
| | - Simerjot K Jassal
- Division of General Internal Medicine, University of California, San Diego and VA San Diego Healthcare, San Diego, California
| | - Takamasa Kayama
- Global Center of Excellence, Yamagata University Faculty of Medicine, Yamagata, Japan; Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan
| | - Csaba P Kovesdy
- Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, Tennessee
| | | | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | | | - Rupert W Major
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom, Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Katsuyuki Miura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Girish N Nadkarni
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Michelle J Pena
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Toshimi Sairenchi
- Medical Science of Nursing, Dokkyo Medical University School of Nursing, Mibu, Japan
| | - Elke Schaeffner
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Varda Shalev
- Institute for Health and Research and Innovation, Maccabi Healthcare Services and Tel Aviv University, Tel Aviv, Israel
| | - Michael G Shlipak
- Kidney Health Research Collaborative, University of California, San Francisco, and San Francisco VA Healthcare System, San Francisco
| | - Marit D Solbu
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway and UiT The Arctic University of Norway, Tromsø, Norway
| | - Nikita Stempniewicz
- AMGA (American Medical Group Association), Alexandria, Virginia and OptumLabs Visiting Fellow
| | - James Tollitt
- Department of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK; Renal Department, University of Manchester, Oxford Road, Manchester, United Kingdom
| | - José M Valdivielso
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII) , Lleida , Spain
| | - Joep van der Leeuw
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Chi-Pang Wen
- China Medical University Hospital, Taichung, Taiwan
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kazumasa Yamagishi
- George Institute for Global Health, Australia, and George Institute for Global Health, Imperial College, London, United Kingdom
| | - Hiroshi Yatsuya
- Department of Public Health, Fujita Health University School of Medicine, Aichi, Japan and Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Luxia Zhang
- Peking University First Hospital and Peking University, Beijing, China
| | - Jannick AN Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Health Data Science Centre, Human Technopole, Milan, Italy
| | - Frank LJ Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | |
Collapse
|
7
|
Tsai MK, Gao W, Chien KL, Baw CK, Hsu CC, Wen CP. Associations of Prolonged Occupational Sitting with the Spectrum of Kidney Disease: Results from a Cohort of a Half-Million Asian Adults. Sports Med - Open 2022; 8:147. [PMID: 36512143 PMCID: PMC9746582 DOI: 10.1186/s40798-022-00542-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 11/27/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Kidney diseases are viewed as continuously progressing diseases from microalbuminuria and chronic kidney disease (CKD), to end-stage renal disease (ESRD) and its mortality including deaths. The report on the association between prolonged sitting and kidney diseases is limited. METHODS We examined a cohort of 455,506 participants in a screening program in Taiwan conducted between 1996 and 2017. Data on occupational sedentary behavior and physical activity were collected with a standardized questionnaire. The outcomes of ESRD and death were identified by linking with the Catastrophic Illness Dataset and Cause of Death Data. The association between prolonged sitting and CKD, the incidence of ESRD, and death were assessed using logistic regression models to compute odds ratios (ORs) and Cox proportional hazards models for hazard ratios (HRs). RESULTS More than half of the participants, i.e., 265,948 (58.4%), were categorized as "prolonged sitting" during their work. During a median of 13 years of follow-up, we identified 2227 individuals undergoing dialysis and 25,671 deaths. Prolonged occupational sitting was significantly associated with a higher risk of CKD (OR: 1.26, 95% confidence interval: 1.21, 1.31), ESRD (HR: 1.19, 95% CI 1.03, 1.38), and kidney-specific mortality (HR: 1.43, 95% CI 1.07, 1.91) compared to mostly standing participants after controlling for physical activity and other risk factors. Inactive prolonged sitting carries a significantly higher risk of ESRD than physically active mostly standing participants (HR: 1.34, 95% CI 1.04, 1.73). However, active prolonged sitting decreased the risk of ESRD (HR: 1.03, 95% CI 0.79, 1.34) compared to inactive prolonged sitting. CONCLUSION The results suggest that prolonged occupational sitting is associated with a greater risk of the spectrum of kidney disease, proteinuria, CKD, dialysis (ESRD), and mortality for all causes and kidney diseases. Physical activity, even at a minimal level of 15 min/day (90 min/week) of moderate-intensity exercise, was associated with a reduction in these risks.
Collapse
Affiliation(s)
- Min-Kuang Tsai
- grid.19188.390000 0004 0546 0241Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei, 10055 Taiwan ,grid.412896.00000 0000 9337 0481PhD Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Wayne Gao
- grid.412896.00000 0000 9337 0481PhD Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Kuo-Liong Chien
- grid.19188.390000 0004 0546 0241Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei, 10055 Taiwan
| | - Chin-Kun Baw
- grid.280062.e0000 0000 9957 7758The Southeast Permanente Medical Group, Atlanta, Georgia USA
| | - Chih-Cheng Hsu
- grid.59784.370000000406229172Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli, 35053 Taiwan
| | - Chi-Pang Wen
- grid.59784.370000000406229172Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli, 35053 Taiwan ,grid.411508.90000 0004 0572 9415China Medical University Hospital, Taichung, Taiwan
| |
Collapse
|
8
|
Grams ME, Brunskill NJ, Ballew SH, Sang Y, Coresh J, Matsushita K, Surapaneni A, Bell S, Carrero JJ, Chodick G, Evans M, Heerspink HJ, Inker LA, Iseki K, Kalra PA, Kirchner HL, Lee BJ, Levin A, Major RW, Medcalf J, Nadkarni GN, Naimark DM, Ricardo AC, Sawhney S, Sood MM, Staplin N, Stempniewicz N, Stengel B, Sumida K, Traynor JP, van den Brand J, Wen CP, Woodward M, Yang JW, Wang AYM, Tangri N. Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes. Diabetes Care 2022; 45:2055-2063. [PMID: 35856507 PMCID: PMC9472501 DOI: 10.2337/dc22-0698] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/16/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design. RESEARCH DESIGN AND METHODS In this meta-analysis of individual participant data, 43 cohorts (N = 1,621,817) from research studies, electronic medical records, and clinical trials with global representation were separated into development and validation cohorts. Models were developed and validated within strata of diabetes mellitus (presence or absence) and estimated glomerular filtration rate (eGFR; ≥60 or <60 mL/min/1.73 m2) to predict a composite of ≥40% decline in eGFR or kidney failure (i.e., receipt of kidney replacement therapy) over 2-3 years. RESULTS There were 17,399 and 24,591 events in development and validation cohorts, respectively. Models predicting ≥40% eGFR decline or kidney failure incorporated age, sex, eGFR, albuminuria, systolic blood pressure, antihypertensive medication use, history of heart failure, coronary heart disease, atrial fibrillation, smoking status, and BMI, and, in those with diabetes, hemoglobin A1c, insulin use, and oral diabetes medication use. The median C-statistic was 0.774 (interquartile range [IQR] = 0.753, 0.782) in the diabetes and higher-eGFR validation cohorts; 0.769 (IQR = 0.758, 0.808) in the diabetes and lower-eGFR validation cohorts; 0.740 (IQR = 0.717, 0.763) in the no diabetes and higher-eGFR validation cohorts; and 0.750 (IQR = 0.731, 0.785) in the no diabetes and lower-eGFR validation cohorts. Incorporating the previous 2-year eGFR slope minimally improved model performance, and then only in the higher-eGFR cohorts. CONCLUSIONS Novel prediction equations for a decline of ≥40% in eGFR can be applied successfully for use in the general population in persons with and without diabetes with higher or lower eGFR.
Collapse
Affiliation(s)
- Morgan E. Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Division of Precision of Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY
| | - Nigel J. Brunskill
- Department of Cardiovascular Sciences, University of Leicester, Leicester, U.K
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, U.K
| | - Shoshana H. Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Samira Bell
- Renal Unit, Ninewells Hospital, Dundee, U.K
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Juan J. Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden
| | - Gabriel Chodick
- Medical Division, Maccabi Healthcare Services, and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Marie Evans
- Department of Clinical Intervention, and Technology, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | - Hiddo J.L. Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center, Groningen, Netherlands
| | | | | | - Philip A. Kalra
- Department of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, U.K
| | | | - Brian J. Lee
- Kaiser Permanente, Hawaii Region, and Moanalua Medical Center, Honolulu, HI
| | - Adeera Levin
- Division of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rupert W. Major
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, U.K
- Department of Health Sciences, University of Leicester, Leicester, U.K
| | - James Medcalf
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, U.K
- UK Renal Registry, The Renal Association, Bristol, U.K
- Department of Cardiovascular Sciences, University of Leicester, Leicester, U.K
| | - Girish N. Nadkarni
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Ana C. Ricardo
- Department of Medicine, University of Illinois, Chicago, IL
| | - Simon Sawhney
- Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, U.K
| | - Manish M. Sood
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Division of Nephrology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Natalie Staplin
- MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, U.K
| | | | - Benedicte Stengel
- University Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, INSERM, Clinical Epidemiology Team, Centre for Epidemiology and Population Health, Villejuif, France
| | - Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN
| | - Jamie P. Traynor
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, U.K
| | - Jan van den Brand
- Department of Nephrology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Chi-Pang Wen
- National Health Research Institutes, Miaoli, Taiwan
- China Medical University Hospital, Taichung, Taiwan
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- The George Institute for Global Health, Imperial College, London, U.K
| | - Jae Won Yang
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Navdeep Tangri
- Division of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Manitoba Canada
| | | |
Collapse
|
9
|
Liu YT, Lee JH, Tsai MK, Wei JCC, Wen CP. The effects of modest drinking on life expectancy and mortality risks: a population-based cohort study. Sci Rep 2022; 12:7476. [PMID: 35523974 PMCID: PMC9076667 DOI: 10.1038/s41598-022-11427-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 04/14/2022] [Indexed: 11/17/2022] Open
Abstract
Modest drinking has been repeatedly discussed in scientific papers as protective against certain diseases, such as cardiovascular diseases, but in most cases, alcohol worsens health conditions, especially when consumed at high risk levels. The complexity of the risk relationship between alcohol and health conditions has confused clinicians as to whether it should be recommended. The study aims to balance the risks and benefits of modest drinking. This retrospective cohort study of 430,016 adults recruited from a standard health-screening program since 1994, with 11,031 deaths identified as of 2008. Drinking distinguished “modest drinker” (no more than one drink a day) from “regular drinker”. Mortality risks including all-cause mortality and diseases-specific mortality with hazard ratio (HR) were calculated by adjusting for 15 confounders. Life table was used for life expectancy. Risk predictors were subjected to Cox proportional hazards regression analysis to identify significant predictors in multivariate models and life expectancy analysis. Nearly one out of 4 males (23%) was a modest drinker, who gained 0.94 year (95% CI 0.65–1.23 year) in life over non-drinker and had 8% reduction in adjusted all-cause mortality (HR 0.92, 95% CI 0.86–0.97). In contrast, regular drinkers had 43% increase in overall mortality (HR 1.43, CI 1.35–1.52) and shortened life by 6.9 years (95% CI 6.6–7.1 years). As most drinkers also smoked, 59% in modest and 75% in regular, the combined effect shortened life by 2.0 years (95% CI 1.6–2.4 years) in modest drinker and 10.3 years (95% CI 9.8–10.7 years) in regular drinker. Cancer were increased in modest drinkers for oral (HR 2.35, CI 1.38–4.01) and esophageal (HR 3.83, CI 1.90–7.73) cancer. The gain of one year by modest drinkers was erased by a two to fourfold increase in oral and esophageal cancer and that drinking beyond modest amount led to a large loss of life expectancy. Given that drinkers are prone to cross the line of drinking, clinicians should balance the risks and benefits of drinking, as well as the understanding of whether the patient is at risk for addiction.
Collapse
Affiliation(s)
- Yen-Tze Liu
- Department of Family Medicine, Changhua Christian Hospital, Changhua, Taiwan, ROC.,Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, ROC.,Department of Holistic Wellness, Mingdao University, Changhua, Taiwan, ROC.,Department of Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan, ROC
| | - June Han Lee
- National Health Research Institutes, Zhunan, Miaoli County, Taiwan, ROC
| | - Min Kuang Tsai
- National Health Research Institutes, Zhunan, Miaoli County, Taiwan, ROC
| | - James Cheng-Chung Wei
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, ROC. .,Department of Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan, ROC. .,Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan, ROC.
| | - Chi-Pang Wen
- National Health Research Institutes, Zhunan, Miaoli County, Taiwan, ROC. .,China Medical University, Taichung, Taiwan, ROC.
| |
Collapse
|
10
|
Tsai MK, Gao W, Chien KL, Hsu CC, Wen CP. Role of Physical Activity in Lowering Risk of End-Stage Renal Disease. Mayo Clin Proc 2022; 97:881-893. [PMID: 35414439 DOI: 10.1016/j.mayocp.2021.10.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/06/2021] [Accepted: 10/26/2021] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To investigate the association between the amount and intensity of leisure-time physical activity (LTPA) and the risk of end-stage renal disease (ESRD). METHODS The study examined a cohort of 543,667 participants aged 20 years and older who participated in a health screening program from January 1, 1996, through December 31, 2017. We identified 2520 individuals undergoing dialysis or who had a kidney transplant by linking participants' encrypted personal identification with the registry for ESRD with a median follow-up of 13 years. We classified participants into 5 categories measured by metabolic equivalent of tasks. Within each category, we analyzed the effect of moderate- and vigorous-intensity LTPA in reducing risk of ESRD. We used a Cox proportional hazards model to calculate hazard ratios (HRs). RESULTS We observed a dose-response relationship between LTPA and the risk of ESRD. The fully active group had a 12% lower hazard of ESRD compared with the no reported LTPA group (HR, 0.88; 95% CI, 0.80 to 0.98) adjusting for covariates including baseline estimated glomerular filtration rate and proteinuria. Within the same category of LTPA, vigorous-intensity exercise carried a 35% lower HR for ESRD compared with moderate-intensity exercise (HR, 0.65; 95% CI, 0.52 to 0.81). The effect was observed stronger among men, younger participants, and participants with diabetes or hyperlipidemia. CONCLUSION Sustained LTPA (≥ 150 minutes per week), particularly with vigorous intensity, significantly lowered the ESRD risk, even among individuals with comorbidities such as diabetes or hyperlipidemia. This finding suggested that patients with no reported LTPA with cardiovascular risks should engage in more LTPA to lower their risk of ESRD.
Collapse
Affiliation(s)
- Min-Kuang Tsai
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Wayne Gao
- College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Chi-Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan; China Medical University Hospital, Taichung, Taiwan
| |
Collapse
|
11
|
Tsai MK, Gao W, Chien KL, Hsu CC, Wen CP. A prediction model with lifestyle factors improves the predictive ability for renal replacement therapy: a cohort of 442,714 participants Asian adults. Clin Kidney J 2022; 15:1896-1907. [PMID: 36158141 PMCID: PMC9494522 DOI: 10.1093/ckj/sfac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Indexed: 11/24/2022] Open
Abstract
Background There are limited renal replacement therapy (RRT) prediction models with good performance in the general population. We developed a model that includes lifestyle factors to improve predictive ability for RRT in the population at large. Methods We used data collected between 1996 and 2017 from a medical screening in a cohort comprising 442 714 participants aged 20 years or over. After a median follow-up of 13 years, we identified 2212 individuals with end-stage renal disease (RRT, n: 2091; kidney transplantation, n: 121). We built three models for comparison: model 1: basic model, Kidney Failure Risk Equation with four variables (age, sex, estimated glomerular filtration rate and proteinuria); model 2: basic model + medical history + lifestyle risk factors; and model 3: model 2 + all significant clinical variables. We used the Cox proportional hazards model to construct a points-based model and applied the C statistic. Results Adding lifestyle factors to the basic model, the C statistic improved in model 2 from 0.91 to 0.94 (95% confidence interval: 0.94, 0.95). Model 3 showed even better C statistic value i.e., 0.95 (0.95, 0.96). With a cut-off score of 33, model 3 identified 3% of individuals with RRT risk in 10 years. This model detected over half of individuals progressing to RRT, which was higher than the sensitivity of cohort participants with stage 3 or higher chronic kidney disease (0.53 versus 0.48). Conclusions Our prediction model including medical history and lifestyle factors improved the predictive ability for end-stage renal disease in the general population in addition to chronic kidney disease population.
Collapse
Affiliation(s)
- Min-Kuang Tsai
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Wayne Gao
- College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chih-Cheng Hsu
- Institute of Population Science, National Health Research Institutes, Miaoli, Taiwan
| | - Chi-Pang Wen
- Institute of Population Science, National Health Research Institutes, Miaoli, Taiwan
- China Medical University Hospital, Taichung, Taiwan
| |
Collapse
|
12
|
Wen CP, Lee YC, Sun YT, Huang CY, Tsai CH, Chen PL, Chang WL, Yeh PY, Wei CY, Tsai MJ, Sun Y, Lin CH, Lee JT, Lai TC, Lien LM, Lin MC, Lin CL, Lee JH, Wang HK, Hsu CY. Low-Density Lipoprotein Cholesterol and Mortality in Patients With Intracerebral Hemorrhage in Taiwan. Front Neurol 2022; 12:793471. [PMID: 35113980 PMCID: PMC8802633 DOI: 10.3389/fneur.2021.793471] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 11/30/2021] [Indexed: 11/18/2022] Open
Abstract
Objective: Lower serum low-density lipoprotein cholesterol (LDL-C) levels are associated with increased intracerebral hemorrhage (ICH) risk. However, reverse causality and residual confounding has not attracted public attention. Therefore, we assessed whether people with LDL-C have increased risk of mortality adjusting for potential confounders using two large Taiwan cohorts. Methods: The Mei-Jhao (MJ) cohort has 414,372 adults participating in a medical screening program with 378 ICH deaths within 15 years of follow-up (1994–2008). Cox proportional hazards regressions estimated hazard death ratios according to LDL-C levels. We identified 4,606 ICH patients from the Taiwan Stroke Registry (TSR) and analyzed the impact of LDL-C on 3-month mortality. Results: Low cholesterol (LDL-C <100 mg/dL), found in 1/4 of the MJ cohort, was highly prevalent (36%) among young adults (age 20–39). There was a graded relationship between cholesterol and mortality for ICH [Hazard ratio, 1.56; 95% confidence interval (CI), 1.13–2.16]. Compared with patients with an LDL-C of 110–129 mg/dL in TSR, the risk for mortality was 1.84 (95% CI, 1.28–2.63) with an LDL-C of <100 mg/dL. Conclusion: Lower serum LDL-C level independently predicts higher mortality after acute ICH. While its causative role may vary, low cholesterol may pose potential harms in Taiwan.
Collapse
Affiliation(s)
- Chi-Pang Wen
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.,Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.,Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yi-Che Lee
- School of Medicine, I-Shou University, Kaohsiung, Taiwan.,Department of Nephrology, E-Da Hospital, Kaohsiung, Taiwan
| | - Yuan-Ting Sun
- Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Yuan Huang
- Department of Surgery, Faculty of Neurosurgical Service, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Chon-Haw Tsai
- Division of Neurology, China Medical University Hospital, Taichung, Taiwan
| | - Po-Lin Chen
- Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wei-Lun Chang
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Po-Yen Yeh
- Department of Neurology, St. Martin De Porres Hospital, Chiayi, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Ming-Jun Tsai
- Department of Neurology, Tainan Municipal An-Nan Hospital-China Medical University, Tainan, Taiwan
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Chih-Hao Lin
- Department of Neurology, Lin Shin Hospital, Taichung, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, New Taipei City, Taiwan
| | - Ta-Chang Lai
- Department of Neurology, Cheng Hsin General Hospital, New Taipei City, Taiwan
| | - Li-Ming Lien
- Department of Neurology, Shin Kong Wu Ho Su Memorial Hospital, New Taipei City, Taiwan
| | - Mei-Chen Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - June-Han Lee
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Hao-Kuang Wang
- School of Medicine, I-Shou University, Kaohsiung, Taiwan.,Department of Neurosurgery, E-Da Hospital, Kaohsiung, Taiwan
| | - Chung Y Hsu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan
| | | |
Collapse
|
13
|
Gao W, Sanna M, Huang G, Hefler M, Tsai MK, Wen CP. Examining Population Health During the COVID-19 Pandemic: All-Cause, Pneumonia and Influenza, and Road Traffic Deaths in Taiwan. Ann Intern Med 2021; 174:880-882. [PMID: 33524291 PMCID: PMC7871198 DOI: 10.7326/m20-7788] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Wayne Gao
- College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Mattia Sanna
- Master's Program in Global Health and Development, Taipei Medical University, Taipei, Taiwan
| | - Garry Huang
- College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Marita Hefler
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Min-Kuang Tsai
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Chi-Pang Wen
- China Medical University Hospitals/Institute of Population Health Science, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| |
Collapse
|
14
|
Matsushita K, Jassal SK, Sang Y, Ballew SH, Grams ME, Surapaneni A, Arnlov J, Bansal N, Bozic M, Brenner H, Brunskill NJ, Chang AR, Chinnadurai R, Cirillo M, Correa A, Ebert N, Eckardt KU, Gansevoort RT, Gutierrez O, Hadaegh F, He J, Hwang SJ, Jafar TH, Kayama T, Kovesdy CP, Landman GW, Levey AS, Lloyd-Jones DM, Major RW, Miura K, Muntner P, Nadkarni GN, Naimark DMJ, Nowak C, Ohkubo T, Pena MJ, Polkinghorne KR, Sabanayagam C, Sairenchi T, Schneider MP, Shalev V, Shlipak M, Solbu MD, Stempniewicz N, Tollitt J, Valdivielso JM, van der Leeuw J, Wang AYM, Wen CP, Woodward M, Yamagishi K, Yatsuya H, Zhang L, Schaeffner E, Coresh J. Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets. EClinicalMedicine 2020; 27:100552. [PMID: 33150324 PMCID: PMC7599294 DOI: 10.1016/j.eclinm.2020.100552] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/01/2020] [Accepted: 09/04/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) measures (estimated glomerular filtration rate [eGFR] and albuminuria) are frequently assessed in clinical practice and improve the prediction of incident cardiovascular disease (CVD), yet most major clinical guidelines do not have a standardized approach for incorporating these measures into CVD risk prediction. "CKD Patch" is a validated method to calibrate and improve the predicted risk from established equations according to CKD measures. METHODS Utilizing data from 4,143,535 adults from 35 datasets, we developed several "CKD Patches" incorporating eGFR and albuminuria, to enhance prediction of risk of atherosclerotic CVD (ASCVD) by the Pooled Cohort Equation (PCE) and CVD mortality by Systematic COronary Risk Evaluation (SCORE). The risk enhancement by CKD Patch was determined by the deviation between individual CKD measures and the values expected from their traditional CVD risk factors and the hazard ratios for eGFR and albuminuria. We then validated this approach among 4,932,824 adults from 37 independent datasets, comparing the original PCE and SCORE equations (recalibrated in each dataset) to those with addition of CKD Patch. FINDINGS We confirmed the prediction improvement with the CKD Patch for CVD mortality beyond SCORE and ASCVD beyond PCE in validation datasets (Δc-statistic 0.027 [95% CI 0.018-0.036] and 0.010 [0.007-0.013] and categorical net reclassification improvement 0.080 [0.032-0.127] and 0.056 [0.044-0.067], respectively). The median (IQI) of the ratio of predicted risk for CVD mortality with CKD Patch vs. the original prediction with SCORE was 2.64 (1.89-3.40) in very high-risk CKD (e.g., eGFR 30-44 ml/min/1.73m2 with albuminuria ≥30 mg/g), 1.86 (1.48-2.44) in high-risk CKD (e.g., eGFR 45-59 ml/min/1.73m2 with albuminuria 30-299 mg/g), and 1.37 (1.14-1.69) in moderate risk CKD (e.g., eGFR 60-89 ml/min/1.73m2 with albuminuria 30-299 mg/g), indicating considerable risk underestimation in CKD with SCORE. The corresponding estimates for ASCVD with PCE were 1.55 (1.37-1.81), 1.24 (1.10-1.54), and 1.21 (0.98-1.46). INTERPRETATION The "CKD Patch" can be used to quantitatively enhance ASCVD and CVD mortality risk prediction equations recommended in major US and European guidelines according to CKD measures, when available. FUNDING US National Kidney Foundation and the NIDDK.
Collapse
Affiliation(s)
- Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Simerjot K Jassal
- Division of General Internal Medicine, University of California, San Diego and VA San Diego Healthcare, San Diego, California
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Corresponding author.
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Johan Arnlov
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Nisha Bansal
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Milica Bozic
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII), Lleida, Spain
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) and Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Nigel J Brunskill
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Alex R Chang
- Department of Nephrology and Kidney Health Research Institute, Geisinger Medical Center, Danville, Pennsylvania
| | - Rajkumar Chinnadurai
- Department of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, United Kingdom
| | - Massimo Cirillo
- Department of Public Health, University of Naples “Federico II”, Italy
| | - Adolfo Correa
- University of Mississippi Medical Center, Jackson, United States
| | - Natalie Ebert
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Orlando Gutierrez
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute, Framingham, MA, United States
| | - Tazeen H Jafar
- Program in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore
- Duke Global Health Institute, Durham, Duke University, NC, United States
- Department of Medicine, Aga Khan University, Karachi, Pakistan
| | - Takamasa Kayama
- Global Center of Excellence, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Csaba P Kovesdy
- Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, TN, United States
| | | | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, MA, United States
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States
| | - Rupert W. Major
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Katsuyuki Miura
- Department of Public Health, Center for Epidemiologic Research in Asia (CERA) Shiga University of Medical Science (SUMS) Seta-Tsukinowa-cho, Shiga, Japan
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Girish N Nadkarni
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Michelle J Pena
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Kevan R Polkinghorne
- Department of Nephrology, Monash Medical Centre, Monashhealth, Melbourne, Australia and Department of Medicine, and Department of Epidemiology & Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Mibu, Japan
| | - Markus P Schneider
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Varda Shalev
- Institute for Health and Research and Innovation, Maccabi Healthcare Services and Tel Aviv University, Tel Aviv, Israel
| | - Michael Shlipak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, and San Francisco VA Medical Center, San Francisco, United States
| | - Marit D Solbu
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway and UiT The Arctic University of Norway, Tromsø, Norway
| | - Nikita Stempniewicz
- AMGA (American Medical Group Association), Alexandria, Virginia and OptumLabs Visiting Fellow, United States
| | - James Tollitt
- Department of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, United Kingdom
- Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK
| | - José M Valdivielso
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII), Lleida, Spain
| | - Joep van der Leeuw
- Department of Vascular Medicine and Department of Nephrology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Chi-Pang Wen
- China Medical University Hospital, Taichung, Taiwan
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- George Institute for Global Health, Australia, and George Institute for Global Health, Imperial College, London, United Kingdom
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan
| | - Hiroshi Yatsuya
- Department of Public Health, Fujita Health University School of Medicine, Aichi, Japan
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Luxia Zhang
- Peking University First Hospital and Peking University, Beijing, China
| | - Elke Schaeffner
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| |
Collapse
|
15
|
Wang B, Wen CP, Wang AZ, Wang Y, Yan YG, Lin ZD. [Endovascular embolization for pulmonary artery pseudoaneurysms with massive hemoptysis]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:223-227. [PMID: 32164093 DOI: 10.3760/cma.j.issn.1001-0939.2020.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the efficacy and safety of transcatheter embolization for the treatment of pulmonary artery pseudoaneurysms (PAPs) with massive hemoptysis via both arterial and venous access. Methods: The clinical data of 15 patients of pulmonary tuberculosis presenting with massive hemoptysis, who were confirmed by CTA/DSA with PAPs at the Second Affiliated Hospital of Hainan Medical University from January 2016 to February 2018, were retrospectively analyzed. The imaging presentation, technical and clinical success of endovascular treatment, and recurrence of hemoptysis within 1 year was recorded. Results: A total of 15 PAPs were involved. Fourteen PAPs were confirmed by pulmonary CTA and one by angiography. Six PAPs were visualized during bronchial artery angiography, 4 PAPs during pulmonary artery angiography, and 4 PAPs both. One PAP was not shown during catheter-directed angiography. Except for one patient who died of asphyxia due to severe hemoptysis undergoing embolization, hemoptysis relapse was achieved in 14 patients after endovascular treatment. During 12 months follow-up, one patient underwent surgical resection because of recurrent hemoptysis 2 weeks after embolization, and another patient with recurrence hemoptysis 3 months after embolization received repeated intervention and hemoptysis relapsed. Conclusion: Transcatheter embolization via dual access is effective and feasible for the treatment of PAPs with massive hemoptysis in patients with pulmonary tuberculosis, but still some risks.
Collapse
Affiliation(s)
- B Wang
- Department of Interventional Radiology, the Second Affiliated Hospital of Hainan Medical University, Haikou 570311, China
| | | | | | | | | | | |
Collapse
|
16
|
Wang HK, Huang CY, Sun YT, Li JY, Chen CH, Sun Y, Liu CH, Lin CH, Chang WL, Lee JT, Sung SF, Yeh PY, Lai TC, Tsai IJ, Lin MC, Lin CL, Wen CP, Hsu CY. Smoking Paradox in Stroke Survivors?: Uncovering the Truth by Interpreting 2 Sets of Data. Stroke 2020; 51:1248-1256. [PMID: 32151234 DOI: 10.1161/strokeaha.119.027012] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background and Purpose- The observation that smokers with stroke could have better outcome than nonsmokers led to the term "smoking paradox." The controversy of such a complex claim has not been fully settled, even though different case mix was noted. Analyses were conducted on 2 independent data sets to evaluate and determine whether such a paradox truly exists. Methods- Taiwan Stroke Registry with 88 925 stroke cases, and MJ cohort with 541 047 adults participating in a medical screening program with 1630 stroke deaths developed during 15 years of follow-up (1994-2008). Primary outcome for stroke registry was functional independence at 3 months by modified Rankin Scale score ≤2, for individuals classified by National Institutes of Health Stroke Scale score at admission. For MJ cohort, mortality risk by smoking status or by stroke history was assessed by hazard ratio. Results- A >11-year age difference in stroke incidence was found between smokers and nonsmokers, with a median age of 60.2 years for current smokers and 71.6 years for nonsmokers. For smokers, favorable outcome in mortality and in functional assessment in 3 months with modified Rankin Scale score ≤2 stratified by the National Institutes of Health Stroke Scale score was present but disappeared when age and sex were matched. Smokers without stroke history had a ≈2-fold increase in stroke deaths (2.05 for ischemic stroke and 1.53 for hemorrhagic stroke) but smokers with stroke history, 7.83-fold increase, overshadowing smoking risk. Quitting smoking at earlier age reversed or improved outcome. Conclusions- "The more you smoke, the earlier you stroke, and the longer sufferings you have to cope." Smokers had 2-fold mortality from stroke but endured stroke disability 11 years longer. Quitting early reduced or reversed the harms.
Collapse
Affiliation(s)
- Hao-Kuang Wang
- From the School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan (H.-K. W., J.-Y. L.).,Department of Neurosurgery, E-Da Hospital, Kaohsiung, Taiwan (H.-K. W.)
| | - Chih-Yuan Huang
- Neurosurgical Service, Department of Surgery, National Cheng Kung University Hospital, Tainan, Taiwan (C.-Y. H.)
| | - Yuan-Ting Sun
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Y.-T. S. C.-H. C.).,Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan (Y.-T. S. C.-H. C.)
| | - Jie-Yuan Li
- From the School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan (H.-K. W., J.-Y. L.).,Department of Neurology, E-Da Hospital/ I-Shou University, Kaohsiung, Taiwan (J.-Y. L.)
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Y.-T. S. C.-H. C.).,Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan (Y.-T. S. C.-H. C.)
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan (Y. S.)
| | - Chung-Hsiang Liu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan (C.-H. L., C.Y. Hsu)
| | - Ching-Huang Lin
- Department of Neurology, Kaohsiung Veterans General Hospital, Taiwan (C.-H. L.)
| | - Wei-Lun Chang
- Department of Neurology, Show-Chwan Memorial Hospital, Changhua, Taiwan (W.-L. C.)
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (J.-T. L.)
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan (S.-F. S.)
| | - Po-Yen Yeh
- Department of Neurology, St. Martin De Porres Hospital, Chiayi, Taiwan (P.-Y. Y.)
| | - Ta-Chang Lai
- Division of Neurology, Department of Internal Medicine, Cheng Hsin General Hospital, Taipei, Taiwan (T.-C. L.)
| | - I-Ju Tsai
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Mei-Chen Lin
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Chi-Pang Wen
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan (C.-P. W.).,Department of Medical Research, China Medical University Hospital, Taichung, Taiwan (C.-P. W.).,Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan (C.-P. W.)
| | - Chung Y Hsu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan (C.-H. L., C.Y. Hsu)
| | | |
Collapse
|
17
|
Chi NF, Wen CP, Liu CH, Li JY, Jeng JS, Chen CH, Lien LM, Lin CH, Sun Y, Chang WL, Hu CJ, Hsu CY. Comparison Between Aspirin and Clopidogrel in Secondary Stroke Prevention Based on Real-World Data. J Am Heart Assoc 2019; 7:e009856. [PMID: 30371321 PMCID: PMC6404870 DOI: 10.1161/jaha.118.009856] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Clopidogrel was thought to be superior to aspirin for secondary prevention of vascular diseases in clinical trials. In this study we assessed the safety and efficacy of clopidogrel versus aspirin in real‐world practice by using the Taiwan Stroke Registry. Methods and Results Patients with ischemic stroke (2006–2016) on aspirin or clopidogrel for secondary stroke prevention were identified in the Taiwan Stroke Registry. Stroke recurrence and mortality rates in patients receiving aspirin (N=34 679) were compared with those receiving clopidogrel (N=7611) during a 12‐month follow‐up period. Propensity score matching and conditional Cox proportional hazards regression model were applied to control confounding factors with 6443 patients in each group. After propensity score matching, stroke recurrence rates were comparable between groups, with 223 patients in the aspirin (3.46%) and 244 in the clopidogrel group (3.79%) (hazard ratio=1.13, 95% confidence interval=0.89–1.43, P=0.311). However, the mortality rate was significantly higher in the clopidogrel group (362 patients, 5.62%) than in the aspirin group (302 patients, 4.69%) (hazard ratio=1.30, 95% confidence interval=1.07–1.58, P=0.008). Results were consistent before and after propensity score matching. Conclusions Clopidogrel was as effective as aspirin for prevention of recurrent stroke in real‐world practice. However, the mortality rate was significantly higher in the clopidogrel than in the aspirin group.
Collapse
Affiliation(s)
- Nai-Fang Chi
- 1 Department of Neurology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan.,2 Department of Neurology Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan.,3 Faculty of Medicine National Yang-Ming University School of Medicine Taipei Taiwan
| | - Chi-Pang Wen
- 4 Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan
| | - Chung-Hsiang Liu
- 5 Department of Neurology China Medical University Hospital Taichung Taiwan
| | - Jie-Yuan Li
- 6 Department of Neurology E-Da Hospital Kaohsiung Taiwan.,7 School of Medicine I-Shou University Kaohsiung Taiwan
| | - Jiann-Shing Jeng
- 8 Department of Neurology National Taiwan University Hospital Taipei Taiwan
| | - Chih-Hung Chen
- 9 Department of Neurology College of Medicine National Cheng Kung University Tainan Taiwan.,10 Stroke Center National Cheng Kung University Hospital Tainan Taiwan
| | - Li-Ming Lien
- 1 Department of Neurology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan.,11 Department of Neurology Shin Kong Wu Ho-Su Memorial Hospital Taipei Taiwan
| | - Ching-Huang Lin
- 12 Department of Neurology Kaohsiung Veterans General Hospital Kaohsiung Taiwan
| | - Yu Sun
- 13 Department of Neurology En Chu Kong Hospital New Taipei City Taiwan
| | - Wei-Lun Chang
- 14 Department of Neurology Show-Chwan Memorial Hospital Changhua Taiwan
| | - Chaur-Jong Hu
- 1 Department of Neurology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan.,2 Department of Neurology Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan.,15 The PhD Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan.,16 Taipei Neuroscience Institute Taipei Medical University Taipei Taiwan
| | - Chung Y Hsu
- 5 Department of Neurology China Medical University Hospital Taichung Taiwan.,17 Graduate Institute of Clinical Medical Science China Medical University Taichung Taiwan
| | | |
Collapse
|
18
|
Coresh J, Heerspink HJL, Sang Y, Matsushita K, Arnlov J, Astor BC, Black C, Brunskill NJ, Carrero JJ, Feldman HI, Fox CS, Inker LA, Ishani A, Ito S, Jassal S, Konta T, Polkinghorne K, Romundstad S, Solbu MD, Stempniewicz N, Stengel B, Tonelli M, Umesawa M, Waikar SS, Wen CP, Wetzels JFM, Woodward M, Grams ME, Kovesdy CP, Levey AS, Gansevoort RT. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies. Lancet Diabetes Endocrinol 2019; 7:115-127. [PMID: 30635225 PMCID: PMC6379893 DOI: 10.1016/s2213-8587(18)30313-9] [Citation(s) in RCA: 182] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 10/21/2018] [Accepted: 10/23/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND Change in albuminuria as a surrogate endpoint for progression of chronic kidney disease is strongly supported by biological plausibility, but empirical evidence to support its validity in epidemiological studies is lacking. We aimed to assess the consistency of the association between change in albuminuria and risk of end-stage kidney disease in a large individual participant-level meta-analysis of observational studies. METHODS In this meta-analysis, we collected individual-level data from eligible cohorts in the Chronic Kidney Disease Prognosis Consortium (CKD-PC) with data on serum creatinine and change in albuminuria and more than 50 events on outcomes of interest. Cohort data were eligible if participants were aged 18 years or older, they had a repeated measure of albuminuria during an elapsed period of 8 months to 4 years, subsequent end-stage kidney disease or mortality follow-up data, and the cohort was active during this consortium phase. We extracted participant-level data and quantified percentage change in albuminuria, measured as change in urine albumin-to-creatinine ratio (ACR) or urine protein-to-creatinine ratio (PCR), during baseline periods of 1, 2, and 3 years. Our primary outcome of interest was development of end-stage kidney disease after a baseline period of 2 years. We defined an end-stage kidney disease event as initiation of kidney replacement therapy. We quantified associations of percentage change in albuminuria with subsequent end-stage kidney disease using Cox regression in each cohort, followed by random-effects meta-analysis. We further adjusted for regression dilution to account for imprecision in the estimation of albuminuria at the participant level. We did multiple subgroup analyses, and also repeated our analyses using participant-level data from 14 clinical trials, including nine clinical trials not in CKD-PC. FINDINGS Between July, 2015, and June, 2018, we transferred and analysed data from 28 cohorts in the CKD-PC, which included 693 816 individuals (557 583 [80%] with diabetes). Data for 675 904 individuals and 7461 end-stage kidney disease events were available for our primary outcome analysis. Change in ACR was consistently associated with subsequent risk of end-stage kidney disease. The adjusted hazard ratio (HR) for end-stage kidney disease after a 30% decrease in ACR during a baseline period of 2 years was 0·83 (95% CI 0·74-0·94), decreasing to 0·78 (0·66-0·92) after further adjustment for regression dilution. Adjusted HRs were fairly consistent across cohorts and subgroups (ie, estimated glomerular filtration rate, diabetes, and sex), but the association was somewhat stronger among participants with higher baseline ACR than among those with lower baseline ACR (pinteraction<0·0001). In individuals with baseline ACR of 300 mg/g or higher, a 30% decrease in ACR over 2 years was estimated to confer a more than 1% absolute reduction in 10-year risk of end-stage kidney disease, even at early stages of chronic kidney disease. Results were generally similar when we used change in PCR and when study populations from clinical trials were assessed. INTERPRETATION Change in albuminuria was consistently associated with subsequent risk of end-stage kidney disease across a range of cohorts, lending support to the use of change in albuminuria as a surrogate endpoint for end-stage kidney disease in clinical trials of progression of chronic kidney disease in the setting of increased albuminuria. FUNDING US National Kidney Foundation and US National Institute of Diabetes and Digestive and Kidney Diseases.
Collapse
Affiliation(s)
- Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Johan Arnlov
- School of Health and Social Studies, Dalarna University, Falun, Sweden; Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden
| | - Brad C Astor
- Department of Medicine and Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Corri Black
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK; Public Health, NHS Grampian, Summerfield House, Aberdeen, UK
| | - Nigel J Brunskill
- Department of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK; John Walls Renal Unit, University Hospitals of Leicester, Leicester, UK
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden
| | - Harold I Feldman
- Department of Biostatistics, Epidemiology and Informatics and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Center for Population Studies, Framingham, MA, USA; Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Areef Ishani
- Veterans Administration Health Care System, Minneapolis, MN, USA; Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Sadayoshi Ito
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Simerjot Jassal
- Division of General Internal Medicine, Department of Medicine, VA San Diego Healthcare System, University of California San Diego, San Diego, CA, USA
| | - Tsuneo Konta
- Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Kevan Polkinghorne
- Department of Nephrology, Monash Medical Centre, Melbourne, VIC, Australia; Department of Medicine and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Solfrid Romundstad
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Internal Medicine, Levanger Hospital, Health Trust Nord-Trøndelag, Levanger, Norway
| | - Marit D Solbu
- Section of Nephrology, Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway; Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Benedicte Stengel
- Inserm UMR1018, Center for Research in Epidemiology and Population Health, Villejuif, Paris, France; Versailles Saint-Quentin-en-Yvelines University, Versailles, France; Paris-Sud University, Orsay, France
| | - Marcello Tonelli
- Division of Nephrology, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mitsumasa Umesawa
- Department of Public Health, Dokkyo Medical University, Tochigi, Japan; Ibaraki Health Plaza, Ibaraki Health Service Association, Mito, Japan
| | - Sushrut S Waikar
- Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chi-Pang Wen
- China Medical University Hospital, Taichung, Taiwan; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Jack F M Wetzels
- Department of Nephrology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; The George Institute for Global Health, University of Oxford, Oxford, UK; The George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Csaba P Kovesdy
- University of Tennessee Health Science Center, Memphis, TN, USA; Memphis Veterans Affairs Medical Center, Memphis, TN, USA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Ron T Gansevoort
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | | |
Collapse
|
19
|
Sanna M, Gao W, Chiu YW, Chiou HY, Chen YH, Wen CP, Levy DT. Tobacco control within and beyond WHO MPOWER: outcomes from Taiwan SimSmoke. Tob Control 2018; 29:36-42. [PMID: 30397030 PMCID: PMC6952844 DOI: 10.1136/tobaccocontrol-2018-054544] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 09/25/2018] [Accepted: 10/09/2018] [Indexed: 11/25/2022]
Abstract
Introduction Adult smoking prevalence in Taiwan rapidly declined from 26.5% in 2005 to 20.0% in 2015. Nevertheless, future projections on smoking-attributable deaths and current per capita consumption do not paint an equally bright picture. Methods We used SimSmoke, a tobacco control simulation model to assess the impact of tax increases and other policies by predicting past and projecting over future decades smoking rates and smoking-attributable mortality. Results The model accurately depicts the decline in smoking prevalence observed in Taiwan from 2000 to 2015. Nonetheless, under the ‘status quo’ scenario, smoking-attributable mortality is projected to continue growing, peaking at 26 602 annual deaths in 2039 and cumulative deaths >1 million by 2044. By comparing projections with current policies with a counterfactual scenario based on the 2000 policy levels, SimSmoke estimates that tobacco control in Taiwan has been able to reduce smoking prevalence by 30% in 2015 with 450 000 fewer smoking-attributable deaths by 2060. Modified scenarios show that doubling the retail price of cigarettes and fully implementing the remaining MPOWER measures would avert approximately 45 000 lives by 2040 and 130 000 by 2060. Conclusions Tobacco will be a leading cause of death in Taiwan for the coming decades, showing yet again the long-term consequences of smoking on public health. The MPOWER package, even if adopted at the highest level with a large tax increase, is unlikely to reduce smoking prevalence to the endgame goal of 5% in the next five decades.
Collapse
Affiliation(s)
- Mattia Sanna
- Master's Program in Global Health and Development, Taipei Medical University, Taipei, Taiwan
| | - Wayne Gao
- Master's Program in Global Health and Development, Taipei Medical University, Taipei, Taiwan
| | - Ya-Wen Chiu
- Master's Program in Global Health and Development, Taipei Medical University, Taipei, Taiwan
| | - Hung-Yi Chiou
- College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Yi-Hua Chen
- College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Chi-Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.,China Medical University Hospital, Taichung, Taiwan
| | - David Theodore Levy
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia, USA
| |
Collapse
|
20
|
Wen CP, Lu PJ, Tsai SP, Chiu J, Tsai MK, Lee JH, Su TC, Wen C. Smokers with a high normal heart rate (80-99/min) found their life span shortened by 13 years. Tob Induc Dis 2018. [DOI: 10.18332/tid/84373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
21
|
Tsai SP, Wen CP, Lu PJ, Tsai MK, Wen C, Lee JH, Lin CL. The life-shortening effect of smokers when accompanied by other common risks. Tob Induc Dis 2018. [DOI: 10.18332/tid/84343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
22
|
Wen CP, Su TC, Shu CC, Tsai MK, Lee JH, Lin CL, Wen C, Kao CW. The overlooked role of physical activity in mitigating the mortality risk in smokers and nonsmokers with COPD. Tob Induc Dis 2018. [DOI: 10.18332/tid/84438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
23
|
Wai JPM, Tsai MK, Lee JH, Lu PJ, Kao CW, Wen CP, Lin CL. Encouraging physical activity for smokers: benefits beyond expectation. Tob Induc Dis 2018. [DOI: 10.18332/tid/84322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
24
|
Mehrtash H, Duncan K, Parascandola M, David A, Gritz ER, Gupta PC, Mehrotra R, Amer Nordin AS, Pearlman PC, Warnakulasuriya S, Wen CP, Zain RB, Trimble EL. Defining a global research and policy agenda for betel quid and areca nut. Lancet Oncol 2017; 18:e767-e775. [PMID: 29208442 DOI: 10.1016/s1470-2045(17)30460-6] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 05/23/2017] [Accepted: 06/05/2017] [Indexed: 01/02/2023]
Abstract
Betel quid and areca nut are known risk factors for many oral and oesophageal cancers, and their use is highly prevalent in the Asia-Pacific region. Additionally, betel quid and areca nut are associated with health effects on the cardiovascular, nervous, gastrointestinal, metabolic, respiratory, and reproductive systems. Unlike tobacco, for which the WHO Framework Convention on Tobacco Control provides evidence-based policies for reducing tobacco use, no global policy exists for the control of betel quid and areca nut use. Multidisciplinary research is needed to address this neglected global public health emergency and to mobilise efforts to control betel quid and areca nut use. In addition, future research is needed to advance our understanding of the basic biology, mechanisms, and epidemiology of betel quid and areca nut use, to advance possible prevention and cessation programmes for betel quid and areca nut users, and to design evidence-based screening and early diagnosis programmes to address the growing burden of cancers that are associated with use.
Collapse
Affiliation(s)
- Hedieh Mehrtash
- National Cancer Institute, National Institutes of Health, Rockville, MA, USA.
| | - Kalina Duncan
- National Cancer Institute, National Institutes of Health, Rockville, MA, USA
| | - Mark Parascandola
- National Cancer Institute, National Institutes of Health, Rockville, MA, USA
| | | | - Ellen R Gritz
- MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | | | - Ravi Mehrotra
- National Institute of Cancer Prevention and Research and WHO-FCTC Smokeless Tobacco Global Knowledge Hub, Uttar Pradesh, India
| | | | - Paul C Pearlman
- National Cancer Institute, National Institutes of Health, Rockville, MA, USA
| | - Saman Warnakulasuriya
- Department of Oral Medicine, King's College London and WHO Collaborating Centre for Oral Cancer and Precancer, London, UK
| | - Chi-Pang Wen
- National Health Research Institutes, Zhunan, Taiwan; Graduate Institute of Biomedical Sciences, College of Medicine and Department of Medical Research, China Medical Univerity, Taichung, Taiwan
| | - Rosnah Binti Zain
- Oral Cancer Research and Coordinating Centre, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| | - Edward L Trimble
- National Cancer Institute, National Institutes of Health, Rockville, MA, USA
| |
Collapse
|
25
|
Barber RM, Fullman N, Sorensen RJD, Bollyky T, McKee M, Nolte E, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulle AM, Abdurahman AA, Abera SF, Abraham B, Abreha GF, Adane K, Adelekan AL, Adetifa IMO, Afshin A, Agarwal A, Agarwal SK, Agarwal S, Agrawal A, Kiadaliri AA, Ahmadi A, Ahmed KY, Ahmed MB, Akinyemi RO, Akinyemiju TF, Akseer N, Al-Aly Z, Alam K, Alam N, Alam SS, Alemu ZA, Alene KA, Alexander L, Ali R, Ali SD, Alizadeh-Navaei R, Alkerwi A, Alla F, Allebeck P, Allen C, Al-Raddadi R, Alsharif U, Altirkawi KA, Martin EA, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amo-Adjei J, Amoako YA, Anderson BO, Androudi S, Ansari H, Ansha MG, Antonio CAT, Ärnlöv J, Artaman A, Asayesh H, Assadi R, Astatkie A, Atey TM, Atique S, Atnafu NT, Atre SR, Avila-Burgos L, Avokpaho EFGA, Quintanilla BPA, Awasthi A, Ayele NN, Azzopardi P, Saleem HOB, Bärnighausen T, Bacha U, Badawi A, Banerjee A, Barac A, Barboza MA, Barker-Collo SL, Barrero LH, Basu S, Baune BT, Baye K, Bayou YT, Bazargan-Hejazi S, Bedi N, Beghi E, Béjot Y, Bello AK, Bennett DA, Bensenor IM, Berhane A, Bernabé E, Bernal OA, Beyene AS, Beyene TJ, Bhutta ZA, Biadgilign S, Bikbov B, Birlik SM, Birungi C, Biryukov S, Bisanzio D, Bizuayehu HM, Bose D, Brainin M, Brauer M, Brazinova A, Breitborde NJK, Brenner H, Butt ZA, Cárdenas R, Cahuana-Hurtado L, Campos-Nonato IR, Car J, Carrero JJ, Casey D, Caso V, Castañeda-Orjuela CA, Rivas JC, Catalá-López F, Cecilio P, Cercy K, Charlson FJ, Chen AZ, Chew A, Chibalabala M, Chibueze CE, Chisumpa VH, Chitheer AA, Chowdhury R, Christensen H, Christopher DJ, Ciobanu LG, Cirillo M, Coggeshall MS, Cooper LT, Cortinovis M, Crump JA, Dalal K, Danawi H, Dandona L, Dandona R, Dargan PI, das Neves J, Davey G, Davitoiu DV, Davletov K, De Leo D, Del Gobbo LC, del Pozo-Cruz B, Dellavalle RP, Deribe K, Deribew A, Des Jarlais DC, Dey S, Dharmaratne SD, Dicker D, Ding EL, Dokova K, Dorsey ER, Doyle KE, Dubey M, Ehrenkranz R, Ellingsen CL, Elyazar I, Enayati A, Ermakov SP, Eshrati B, Esteghamati A, Estep K, Fürst T, Faghmous IDA, Fanuel FBB, Faraon EJA, Farid TA, Farinha CSES, Faro A, Farvid MS, Farzadfar F, Feigin VL, Feigl AB, Fereshtehnejad SM, Fernandes JG, Fernandes JC, Feyissa TR, Fischer F, Fitzmaurice C, Fleming TD, Foigt N, Foreman KJ, Forouzanfar MH, Franklin RC, Frostad J, G/hiwot TT, Gakidou E, Gambashidze K, Gamkrelidze A, Gao W, Garcia-Basteiro AL, Gebre T, Gebremedhin AT, Gebremichael MW, Gebru AA, Gelaye AA, Geleijnse JM, Genova-Maleras R, Gibney KB, Giref AZ, Gishu MD, Giussani G, Godwin WW, Gold A, Goldberg EM, Gona PN, Goodridge A, Gopalani SV, Goto A, Graetz N, Greaves F, Griswold M, Guban PI, Gugnani HC, Gupta PC, Gupta R, Gupta R, Gupta T, Gupta V, Habtewold TD, Hafezi-Nejad N, Haile D, Hailu AD, Hailu GB, Hakuzimana A, Hamadeh RR, Hambisa MT, Hamidi S, Hammami M, Hankey GJ, Hao Y, Harb HL, Hareri HA, Haro JM, Hassanvand MS, Havmoeller R, Hay RJ, Hay SI, Hendrie D, Heredia-Pi IB, Hoek HW, Horino M, Horita N, Hosgood HD, Htet AS, Hu G, Huang H, Huang JJ, Huntley BM, Huynh C, Iburg KM, Ileanu BV, Innos K, Irenso AA, Jahanmehr N, Jakovljevic MB, James P, James SL, Javanbakht M, Jayaraman SP, Jayatilleke AU, Jeemon P, Jha V, John D, Johnson C, Johnson SC, Jonas JB, Juel K, Kabir Z, Kalkonde Y, Kamal R, Kan H, Karch A, Karema CK, Karimi SM, Kasaeian A, Kassebaum NJ, Kastor A, Katikireddi SV, Kazanjan K, Keiyoro PN, Kemmer L, Kemp AH, Kengne AP, Kerbo AA, Kereselidze M, Kesavachandran CN, Khader YS, Khalil I, Khan AR, Khan EA, Khan G, Khang YH, Khoja ATA, Khonelidze I, Khubchandani J, Kibret GD, Kim D, Kim P, Kim YJ, Kimokoti RW, Kinfu Y, Kissoon N, Kivipelto M, Kokubo Y, Kolk A, Kolte D, Kopec JA, Kosen S, Koul PA, Koyanagi A, Kravchenko M, Krishnaswami S, Krohn KJ, Defo BK, Bicer BK, Kuipers EJ, Kulkarni VS, Kumar GA, Kumsa FA, Kutz M, Kyu HH, Lager ACJ, Lal A, Lal DK, Lalloo R, Lallukka T, Lan Q, Langan SM, Lansingh VC, Larson HJ, Larsson A, Laryea DO, Latif AA, Lawrynowicz AEB, Leasher JL, Leigh J, Leinsalu M, Leshargie CT, Leung J, Leung R, Levi M, Liang X, Lim SS, Lind M, Linn S, Lipshultz SE, Liu P, Liu Y, Lo LT, Logroscino G, Lopez AD, Lorch SA, Lotufo PA, Lozano R, Lunevicius R, Lyons RA, Macarayan ERK, Mackay MT, El Razek HMA, El Razek MMA, Mahdavi M, Majeed A, Malekzadeh R, Malta DC, Mantovani LG, Manyazewal T, Mapoma CC, Marcenes W, Marks GB, Marquez N, Martinez-Raga J, Marzan MB, Massano J, Mathur MR, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McNellan C, Meaney PA, Mehari A, Mehndiratta MM, Meier T, Mekonnen AB, Meles KG, Memish ZA, Mengesha MM, Mengiste DT, Mengistie MA, Menota BG, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mezgebe HB, Micha R, Millear A, Mills EJ, Minnig S, Mirarefin M, Mirrakhimov EM, Mock CN, Mohammad KA, Mohammed S, Mohanty SK, Mokdad AH, Mola GLD, Molokhia M, Monasta L, Montico M, Moradi-Lakeh M, Moraga P, Morawska L, Mori R, Moses M, Mueller UO, Murthy S, Musa KI, Nachega JB, Nagata C, Nagel G, Naghavi M, Naheed A, Naldi L, Nangia V, Nascimento BR, Negoi I, Neupane SP, Newton CR, Ng M, Ngalesoni FN, Ngunjiri JW, Nguyen G, Ningrum DNA, Nolte S, Nomura M, Norheim OF, Norrving B, Noubiap JJN, Obermeyer CM, Ogbo FA, Oh IH, Okoro A, Oladimeji O, Olagunju AT, Olivares PR, Olsen HE, Olusanya BO, Olusanya JO, Opio JN, Oren E, Ortiz A, Osborne RH, Osman M, Owolabi MO, PA M, Pain AW, Pakhale S, Castillo EP, Pana A, Papachristou C, Parsaeian M, Patel T, Patton GC, Paudel D, Paul VK, Pearce N, Pereira DM, Perez-Padilla R, Perez-Ruiz F, Perico N, Pesudovs K, Petzold M, Phillips MR, Pigott DM, Pillay JD, Pinho C, Polinder S, Pond CD, Prakash V, Purwar M, Qorbani M, Quistberg DA, Radfar A, Rafay A, Rahimi K, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rai RK, Ram U, Rana SM, Rankin Z, Rao PV, Rao PC, Rawaf S, Rego MAS, Reitsma M, Remuzzi G, Renzaho AMNN, Resnikoff S, Rezaei S, Rezai MS, Ribeiro AL, Roba HS, Rokni MB, Ronfani L, Roshandel G, Roth GA, Rothenbacher D, Roy NK, Sachdev PS, Sackey BB, Saeedi MY, Safiri S, Sagar R, Sahraian MA, Saleh MM, Salomon JA, Samy AM, Sanabria JR, Sanchez-Niño MD, Sandar L, Santos IS, Santos JV, Milicevic MMS, Sarmiento-Suarez R, Sartorius B, Satpathy M, Savic M, Sawhney M, Saylan MI, Schöttker B, Schutte AE, Schwebel DC, Seedat S, Seid AM, Seifu CN, Sepanlou SG, Serdar B, Servan-Mori EE, Setegn T, Shackelford KA, Shaheen A, Shahraz S, Shaikh MA, Shakh-Nazarova M, Shamsipour M, Islam SMS, Sharma J, Sharma R, She J, Sheikhbahaei S, Shen J, Shi P, Shigematsu M, Shin MJ, Shiri R, Shoman H, Shrime MG, Sibamo ELS, Sigfusdottir ID, Silva DAS, Silveira DGA, Sindi S, Singh A, Singh JA, Singh OP, Singh PK, Singh V, Sinke AH, Sinshaw AE, Skirbekk V, Sliwa K, Smith A, Sobngwi E, Soneji S, Soriano JB, Sousa TCM, Sposato LA, Sreeramareddy CT, Stathopoulou V, Steel N, Steiner C, Steinke S, Stokes MA, Stranges S, Strong M, Stroumpoulis K, Sturua L, Sufiyan MB, Suliankatchi RA, Sun J, Sur P, Swaminathan S, Sykes BL, Tabarés-Seisdedos R, Tabb KM, Taffere GR, Talongwa RT, Tarajia M, Tavakkoli M, Taveira N, Teeple S, Tegegne TK, Tehrani-Banihashemi A, Tekelab T, Tekle DY, Shifa GT, Terkawi AS, Tesema AG, Thakur JS, Thomson AJ, Tillmann T, Tiruye TY, Tobe-Gai R, Tonelli M, Topor-Madry R, Tortajada M, Troeger C, Truelsen T, Tura AK, Uchendu US, Ukwaja KN, Undurraga EA, Uneke CJ, Uthman OA, van Boven JFM, Van Dingenen R, Varughese S, Vasankari T, Venketasubramanian N, Violante FS, Vladimirov SK, Vlassov VV, Vollset SE, Vos T, Wagner JA, Wakayo T, Waller SG, Walson JL, Wang H, Wang YP, Watkins DA, Weiderpass E, Weintraub RG, Wen CP, Werdecker A, Wesana J, Westerman R, Whiteford HA, Wilkinson JD, Wiysonge CS, Woldeyes BG, Wolfe CDA, Won S, Workicho A, Workie SB, Wubshet M, Xavier D, Xu G, Yadav AK, Yaghoubi M, Yakob B, Yan LL, Yano Y, Yaseri M, Yimam HH, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yu C, Zaidi Z, El Sayed Zaki M, Zambrana-Torrelio C, Zapata T, Zenebe ZM, Zodpey S, Zoeckler L, Zuhlke LJ, Murray CJL. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990-2015: a novel analysis from the Global Burden of Disease Study 2015. Lancet 2017; 390:231-266. [PMID: 28528753 PMCID: PMC5528124 DOI: 10.1016/s0140-6736(17)30818-8] [Citation(s) in RCA: 307] [Impact Index Per Article: 43.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Revised: 02/26/2017] [Accepted: 02/28/2017] [Indexed: 02/08/2023]
Abstract
BACKGROUND National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. METHODS We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure-the Healthcare Quality and Access (HAQ) Index-on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r=0·88), an index of 11 universal health coverage interventions (r=0·83), and human resources for health per 1000 (r=0·77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertility rates. This frontier allowed us to better quantify the maximum levels of personal health-care access and quality achieved across the development spectrum, and pinpoint geographies where gaps between observed and potential levels have narrowed or widened over time. FINDINGS Between 1990 and 2015, nearly all countries and territories saw their HAQ Index values improve; nonetheless, the difference between the highest and lowest observed HAQ Index was larger in 2015 than in 1990, ranging from 28·6 to 94·6. Of 195 geographies, 167 had statistically significant increases in HAQ Index levels since 1990, with South Korea, Turkey, Peru, China, and the Maldives recording among the largest gains by 2015. Performance on the HAQ Index and individual causes showed distinct patterns by region and level of development, yet substantial heterogeneities emerged for several causes, including cancers in highest-SDI countries; chronic kidney disease, diabetes, diarrhoeal diseases, and lower respiratory infections among middle-SDI countries; and measles and tetanus among lowest-SDI countries. While the global HAQ Index average rose from 40·7 (95% uncertainty interval, 39·0-42·8) in 1990 to 53·7 (52·2-55·4) in 2015, far less progress occurred in narrowing the gap between observed HAQ Index values and maximum levels achieved; at the global level, the difference between the observed and frontier HAQ Index only decreased from 21·2 in 1990 to 20·1 in 2015. If every country and territory had achieved the highest observed HAQ Index by their corresponding level of SDI, the global average would have been 73·8 in 2015. Several countries, particularly in eastern and western sub-Saharan Africa, reached HAQ Index values similar to or beyond their development levels, whereas others, namely in southern sub-Saharan Africa, the Middle East, and south Asia, lagged behind what geographies of similar development attained between 1990 and 2015. INTERPRETATION This novel extension of the GBD Study shows the untapped potential for personal health-care access and quality improvement across the development spectrum. Amid substantive advances in personal health care at the national level, heterogeneous patterns for individual causes in given countries or territories suggest that few places have consistently achieved optimal health-care access and quality across health-system functions and therapeutic areas. This is especially evident in middle-SDI countries, many of which have recently undergone or are currently experiencing epidemiological transitions. The HAQ Index, if paired with other measures of health-system characteristics such as intervention coverage, could provide a robust avenue for tracking progress on universal health coverage and identifying local priorities for strengthening personal health-care quality and access throughout the world. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
26
|
Wang IK, Liu CH, Yen TH, Jeng JS, Hsu SP, Chen CH, Lien LM, Lin RT, Chen AC, Lin HJ, Chi HY, Lai TC, Sun Y, Lee SP, Sung SF, Chen PL, Lee JT, Chiang TR, Lin SK, Muo CH, Ma H, Wen CP, Sung FC, Hsu CY. Cholesterol Levels Are Associated with 30-day Mortality from Ischemic Stroke in Dialysis Patients. J Stroke Cerebrovasc Dis 2017; 26:1349-1356. [PMID: 28341198 DOI: 10.1016/j.jstrokecerebrovasdis.2017.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 01/19/2017] [Accepted: 02/02/2017] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND We investigated the impact of serum cholesterol levels on 30-day mortality after ischemic stroke in dialysis patients. METHODS From the Taiwan Stroke Registry data, we identified 46,770 ischemic stroke cases, including 1101 dialysis patients and 45,669 nondialysis patients from 2006 to 2013. RESULTS Overall, the 30-day mortality was 1.46-fold greater in the dialysis group than in the nondialysis group (1.75 versus 1.20 per 1000 person-days). The mortality rates were 1.64, .62, 2.82, and 2.23 per 1000 person-days in dialysis patients with serum total cholesterol levels of <120 mg/dL, 120-159 mg/dL, 160-199 mg/dL, and ≥200 mg/dL, respectively. Compared to dialysis patients with serum total cholesterol levels of 120-159 mg/dL, the corresponding adjusted hazard ratios of mortality were 4.20 (95% confidence interval [CI] = 1.01-17.4), 8.06 (95% CI = 2.02-32.2), and 6.89 (95% CI = 1.59-29.8) for those with cholesterol levels of <120 mg/dL, 160-199 mg/dL, and ≥200 mg/dL, respectively. CONCLUSIONS Dialysis patients with serum total cholesterol levels of ≥160 mg/dL or <120 mg/dL on admission are at an elevated hazard of 30-day mortality after ischemic stroke.
Collapse
Affiliation(s)
- I-Kuan Wang
- Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan; Department of Internal Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Division of Kidney Disease, China Medical University Hospital, Taichung, Taiwan
| | - Chung-Hsiang Liu
- Departmemt of Neurology, China Medical University Hospital, Taichung, Taiwan
| | - Tzung-Hai Yen
- Division of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan
| | | | - Shih-Pin Hsu
- Department of Neurology, E-Da Hospital/I-Shou University, Kaohsiung, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Li-Ming Lien
- Department of Neurology, Shin Kong Wu Ho-Su Memorial Hospital and Taipei Medical University College of Medicine, Taipei, Taiwan
| | - Ruey-Tay Lin
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - An-Chih Chen
- Department Neurology, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Huey-Juan Lin
- Department of Neurology, Chi-Mei Medical Center, Tainan, Taiwan
| | - Hsin-Yi Chi
- Show Chwan Memorial Hospital, Changhua. Taiwan
| | | | - Yu Sun
- En Chu Kong Hospital, New Taipei City, Taiwan
| | - Siu-Pak Lee
- Department of Neurology, Far Eastern Memorial Hospital, Taipei, Taiwan
| | - Sheng-Feng Sung
- Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi, Taiwan
| | - Po-Lin Chen
- Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | | | | | - Chih-Hsin Muo
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Henry Ma
- Monash University, Melbourne, Victoria, Australia
| | - Chi-Pang Wen
- Institute of Population Science, National Health Research Institute, Zhunan, Taiwan
| | - Fung-Chang Sung
- Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan; Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
| | - Chung Y Hsu
- Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan; Departmemt of Neurology, China Medical University Hospital, Taichung, Taiwan
| | | |
Collapse
|
27
|
Wen CP, Tsai SF, Tsai SP. Mortality Experience in a Rapidly Developing Economy in Taiwan: Infant Mortality, Gender Gap, and Occupational Risks. Asia Pac J Public Health 2016; 6:217-25. [PMID: 1345449 DOI: 10.1177/101053959200600407] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Mortality data of Taiwan for 1981 through 1986 were analyzed using three different statistics in order to assess the role of environmental and lifestyle factors in causing mortality variations. Infant mortality rates from different geographic regions generally correlated well with overall mortality from all ages, suggesting that there are many common risk factors affecting the entire age range of the population. The mortality rates of tobacco-and alcohol-related causes of death and cancers were much higher in males than females. A number of cancer sites, including the lung, the liver, the stomach, and the nasopharynx, showed more than twofold excesses in males. In contrast, females had a tenfold excess of genital cancer and a 33% higher rate of diabetes. With rapid industrialization, occupational hazards played an increasing role in the development of cancer and other causes of death. During the study period, fishermen showed increased risk for cancers of the stomach, the esophagus, and the liver, while construction workers had an increased risk for cancer of the esophagus. Peasants and soldiers had an elevated suicide mortality. Among apprentices, fatal injuries were high. Findings from this study are useful in setting priorities for health and safety programs and directing efforts such as health education programs and other preventive strategies against disease.
Collapse
Affiliation(s)
- C P Wen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | | | | |
Collapse
|
28
|
Chang SS, Bjørngaard JH, Tsai MK, Bjerkeset O, Wen CP, Yip PSF, Tsao CK, Gunnell D. Heart rate and suicide: findings from two cohorts of 533 000 Taiwanese and 75 000 Norwegian adults. Acta Psychiatr Scand 2016; 133:277-88. [PMID: 26493376 DOI: 10.1111/acps.12513] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/17/2015] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To investigate the association of resting heart rate with suicide in two large cohorts. METHOD The MJ cohort (Taiwan) included 532 932 adults from a health check-up programme (1994-2008). The HUNT cohort (Norway) included 74 977 adults in the Nord-Trøndelag County study (1984-1986), followed up to 2004. In both cohorts heart rate was measured at baseline, and suicide was ascertained through linkage to cause-of-death registers. Risk of suicide was estimated using Cox proportional hazards models. RESULTS There were 569 and 188 suicides (average follow-up period of 8.1 and 16.9 years) in the MJ and HUNT cohorts respectively. Sex- and age-adjusted hazard ratio for every 10 beat increase in heart rate per minute was 1.08 (95% Confidence Interval 1.00-1.16) and 1.24 (1.12-1.38) in the MJ and HUNT cohorts, respectively. In the MJ cohort this association was confined to individuals with a history of heart diseases vs. those without such a history (P for interaction = 0.008). In the HUNT cohort the association did not differ by history of heart diseases and was robust to adjustment for health-related life style, medication use, and symptoms of anxiety and depression. CONCLUSION Elevated resting heart rate may be a marker of increased suicide risk.
Collapse
Affiliation(s)
- S-S Chang
- Institute of Health Behaviors and Community Sciences, and Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.,Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.,Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China
| | - J H Bjørngaard
- Department of Public Health, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Forensic Department and Research Centre, Bröset St. Olav's University Hospital Trondheim, Trondheim, Norway
| | - M K Tsai
- China Medical University Hospital, Taichung, Taiwan.,Institute of Population Health Science, National Health Research Institutes, Miaoli, Taiwan
| | - O Bjerkeset
- Faculty of Health Sciences, Nord-Trøndelag University College (HiNT), Levanger, Norway.,Institute of Neuromedicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - C P Wen
- China Medical University Hospital, Taichung, Taiwan.,Institute of Population Health Science, National Health Research Institutes, Miaoli, Taiwan
| | - P S F Yip
- Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China.,Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China
| | - C K Tsao
- MJ Health Management Institution, Taipei, Taiwan
| | - D Gunnell
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| |
Collapse
|
29
|
Wen CP, Tuan PH, Liang HC, Tsou CH, Su KW, Huang KF, Chen YF. High-peak-power optically-pumped AlGaInAs eye-safe laser with a silicon wafer as an output coupler: comparison between the stack cavity and the separate cavity. Opt Express 2015; 23:30749-30754. [PMID: 26698707 DOI: 10.1364/oe.23.030749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
An intrinsic silicon wafer is exploited as an output coupler to develop a high-peak-power optically-pumped AlGaInAs laser at 1.52 μm. The gain chip is sandwiched with the diamond heat spreader and the silicon wafer to a stack cavity. It is experimentally confirmed that not only the output stability but also the conversion efficiency are considerably enhanced in comparison with the separate cavity in which the silicon wafer is separated from other components. The average output power obtained with the stack cavity was 2.02 W under 11.5 W average pump power, corresponding to an overall optical-to-optical efficiency of 17.5%; the slope efficiency was 18.6%. The laser operated at 100 kHz repetition rate and the pulse peak power was 0.4 kW.
Collapse
|
30
|
Shih CC, Liao CC, Sun MF, Su YC, Wen CP, Morisky DE, Sung FC, Hsu CY, Lin JG. A Retrospective Cohort Study Comparing Stroke Recurrence Rate in Ischemic Stroke Patients With and Without Acupuncture Treatment. Medicine (Baltimore) 2015; 94:e1572. [PMID: 26426630 PMCID: PMC4616848 DOI: 10.1097/md.0000000000001572] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Little was known about the effects of acupuncture on stroke recurrence. The aim of this study is to investigate whether ischemic stroke patients receiving acupuncture treatment have a decreased risk of stroke recurrence. A retrospective cohort study of 30,058 newly diagnosed cases of ischemic stroke in 2000 to 2004 was conducted based on the claims of Taiwan National Health Insurance Research Database. The use of acupuncture treatment and stroke recurrence were identified during the follow-up period from 2000 to 2009. This study compared the risk of stroke recurrence between ischemic stroke cohorts with and without acupuncture treatment by calculating adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of acupuncture associated with stroke recurrence in the Cox proportional hazard model. The stroke recurrence rate per 1000 person-years decreased from 71.4 without to 69.9 with acupuncture treatment (P < 0.001). Acupuncture treatment was associated with reduced risk of stroke recurrence (HR 0.88; 95% CI 0.84-0.91). The acupuncture effect was noted in patients with or without medical treatment for stroke prevention but its impact decreased with aging of stroke patients. Compared with stroke patients without acupuncture treatment and medication therapy, the hazard ratios of stroke recurrence for those had medication therapy only, acupuncture only, and both were 0.42 (95% CI 0.38-0.46), 0.50 (95% CI 0.43-0.57), and 0.39 (95% CI 0.35-0.43), respectively. This study raises the possibility that acupuncture might be effective in lowering stroke recurrence rate even in those on medications for stroke prevention. Results suggest the need of prospective sham-controlled and randomized trials to establish the efficacy of acupuncture in preventing stroke.
Collapse
Affiliation(s)
- Chun-Chuan Shih
- From the School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung (CCS); Ph.D. Program for the Clinical Drug Discovery from Botanical Herbs, Taipei Medical University (CCS); Department of Anesthesiology, Taipei Medical University Hospital, Taipei (CCL); School of Chinese Medicine, (CCL, MFS, YCS, JGL); Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan (CPW, CYH); Fielding School of Public Health, University of California, Los Angeles, California (DEM); Department of Public Health, China Medical University (FCS); and Department of Neurology, China Medical University Hospital, Taichung, Taiwan (CYH)
| | | | | | | | | | | | | | | | | |
Collapse
|
31
|
Tsou CH, Liang HC, Wen CP, Su KW, Huang KF, Chen YF. Exploring the influence of high order transverse modes on the temporal dynamics in an optically pumped mode-locked semiconductor disk laser. Opt Express 2015; 23:16339-16347. [PMID: 26193606 DOI: 10.1364/oe.23.016339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We quantitatively investigate the influence of high-order transverse modes on the self-mode locking (SML) in an optically pumped semiconductor laser (OPSL) with a nearly hemispherical cavity. A physical aperture is inserted into the cavity to manipulate the excitation of high-order transverse modes. Experimental measurements reveal that the laser is operated in a well-behaved SML state with the existence of the TEM(0,0) mode and the first high-order transverse mode. While more high-order transverse modes are excited, it is found that the pulse train is modulated by more beating frequencies of transverse modes. The temporal behavior becomes the random dynamics when too many high-order transverse modes are excited. We observe that the temporal trace exhibits an intermittent mode-locked state in the absence of high-order transverse modes.
Collapse
|
32
|
Tuan PH, Wen CP, Chiang PY, Yu YT, Liang HC, Huang KF, Chen YF. Exploring the resonant vibration of thin plates: Reconstruction of Chladni patterns and determination of resonant wave numbers. J Acoust Soc Am 2015; 137:2113-2123. [PMID: 25920861 DOI: 10.1121/1.4916704] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The Chladni nodal line patterns and resonant frequencies for a thin plate excited by an electronically controlled mechanical oscillator are experimentally measured. Experimental results reveal that the resonant frequencies can be fairly obtained by means of probing the variation of the effective impedance of the exciter with and without the thin plate. The influence of the extra mass from the central exciter is confirmed to be insignificant in measuring the resonant frequencies of the present system. In the theoretical aspect, the inhomogeneous Helmholtz equation is exploited to derive the response function as a function of the driving wave number for reconstructing experimental Chladni patterns. The resonant wave numbers are theoretically identified with the maximum coupling efficiency as well as the maximum entropy principle. Substituting the theoretical resonant wave numbers into the derived response function, all experimental Chladni patterns can be excellently reconstructed. More importantly, the dispersion relationship for the flexural wave of the vibrating plate can be determined with the experimental resonant frequencies and the theoretical resonant wave numbers. The determined dispersion relationship is confirmed to agree very well with the formula of the Kirchhoff-Love plate theory.
Collapse
Affiliation(s)
- P H Tuan
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - C P Wen
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - P Y Chiang
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - Y T Yu
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - H C Liang
- Institute of Optoelectronic Science, National Taiwan Ocean University, 2 Pei-Ning Road, Keelung 20224, Taiwan
| | - K F Huang
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - Y F Chen
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| |
Collapse
|
33
|
Sun W, Wen CP, Lin J, Wen C, Pu X, Huang M, Tsai MK, Tsao CK, Wu X, Chow WH. ABO blood types and cancer risk--a cohort study of 339,432 subjects in Taiwan. Cancer Epidemiol 2015; 39:150-6. [PMID: 25600007 DOI: 10.1016/j.canep.2014.12.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 12/12/2014] [Accepted: 12/14/2014] [Indexed: 12/28/2022]
Abstract
BACKGROUND The associations of laboratory-based ABO phenotypes with cancer risks and mortality have not been systematically determined. METHODS The study subjects were 339,432 healthy individuals with laboratory-based blood types from a Taiwan cohort. RESULTS Compared to blood type O, blood type A was significantly associated with an elevated risk of stomach cancer incidence (Hazard Ratio [HR], 1.38 [95% CI, 1.11-1.72]) and mortality (HR, 1.38 [95% CI, 1.02-1.86]) compared with blood type O, after adjusting for age, sex, education, smoking, alcohol drinking, physical activity, and body mass index. Non-O blood types were associated with an elevated risk of pancreatic cancer, with blood type B reaching statistical significance for incidence (HR, 1.59 [95% CI, 1.02-2.48]) and mortality (HR, 1.63 [95% CI, 1.02-2.60]). In contrast, kidney cancer risk was inversely associated with blood type AB (HR, 0.41 [95% CI, 0.18-0.93]) compared to type O. CONCLUSION Cancer risks vary in people with different ABO blood types, with elevated risks of stomach cancer associated with blood type A and pancreatic cancer associated with non-O blood types (A, B, and AB).
Collapse
Affiliation(s)
- Wenjie Sun
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Chi-Pang Wen
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan; China Medical University Hospital, Taichung, Taiwan
| | - Jie Lin
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher Wen
- Department of Radiological Sciences, University of California at Irvine, Irvine, CA, USA
| | - Xia Pu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Maosheng Huang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Min Kuang Tsai
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan
| | | | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| |
Collapse
|
34
|
Wen CP, Zhang F, Liang D, Wen C, Gu J, Skinner H, Chow WH, Ye Y, Pu X, Hildebrandt MAT, Huang M, Chen CH, Hsiung CA, Tsai MK, Tsao CK, Lippman SM, Wu X. The ability of bilirubin in identifying smokers with higher risk of lung cancer: a large cohort study in conjunction with global metabolomic profiling. Clin Cancer Res 2014; 21:193-200. [PMID: 25336700 DOI: 10.1158/1078-0432.ccr-14-0748] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE We aimed to identify serum metabolites as potential valuable biomarkers for lung cancer and to improve risk stratification in smokers. EXPERIMENTAL DESIGN We performed global metabolomic profiling followed by targeted validation of individual metabolites in a case-control design of 386 lung cancer cases and 193 matched controls. We then validated bilirubin, which consistently showed significant differential levels in cases and controls, as a risk marker for lung cancer incidence and mortality in a large prospective cohort composed of 425,660 participants. RESULTS Through global metabolomic profiling and following targeted validation, bilirubin levels consistently showed a statistically significant difference among healthy controls and lung cancer cases. In the prospective cohort, the inverse association was only seen in male smokers, regardless of smoking pack-years and intensity. Compared with male smokers in the highest bilirubin group (>1 mg/dL), those in the lowest bilirubin group (<0.75 mg/dL) had 55% and 66% increase in risks of lung cancer incidence and mortality, respectively. For every 0.1 mg/dL decrease of bilirubin, the risks for lung cancer incidence and mortality increased by 5% and 6% in male smokers, respectively (both P < 0.001). There was a significant interaction between low serum bilirubin level and smoking on lung cancer risk (Pinteraction = 0.001). CONCLUSION Low levels of serum bilirubin are associated with higher risks of lung cancer incidence and mortality in male smokers and can be used to identify higher risk smokers for lung cancer.
Collapse
Affiliation(s)
- Chi-Pang Wen
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan. China Medical University Hospital, Taichung, Taiwan
| | - Fanmao Zhang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dong Liang
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Texas Southern University, Houston, Texas
| | - Christopher Wen
- Department of Radiological Sciences, University of California at Irvine, Irvine, California
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Heath Skinner
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xia Pu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Maosheng Huang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chien-Hua Chen
- Digestive Disease Center, Show-Chwan Memorial Hospital, Changhua, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan
| | - Min Kuang Tsai
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan
| | | | | | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| |
Collapse
|
35
|
|
36
|
Lee JT, Chung WT, Lin JD, Peng GS, Muo CH, Lin CC, Wen CP, Wang IK, Tseng CH, Kao CH, Hsu CY. Increased risk of stroke after septicaemia: a population-based longitudinal study in Taiwan. PLoS One 2014; 9:e89386. [PMID: 24586739 PMCID: PMC3931764 DOI: 10.1371/journal.pone.0089386] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 01/20/2014] [Indexed: 11/18/2022] Open
Abstract
Inflammation and infection have been noted to increase stroke risk. However, the association between septicaemia and increased risk of stroke remains unclear. This population-based cohort study, using a National Health Insurance database, aimed to investigate whether patients with septicaemia are predisposed to increased stroke risk. The study included all patients hospitalised for septicaemia for the first time between 2000 and 2003 without prior stroke. Patients were followed until the end of 2010 to evaluate incidence of stroke. An age-, gender- and co-morbidities-matched cohort without prior stroke served as the control. Cox's proportional hazards regressions were used to assess differences in stroke risk between groups. Based on hazard ratios (HRs), patients with septicaemia had greater stroke risk, especially in the younger age groups (age <45: HR = 4.16, 95% CI: 2.39-7.24, p<0.001; age 45-64: HR = 1.76, 95% CI: 1.41-2.19, p<0.001; age ≥ 65: HR = 1.05, 95% CI: 0.91-1.22, p>0.05). Haemorrhagic stroke was the dominant type (ischaemic stroke: HR = 1.20, 95% CI: 1.06-1.37, p<0.01; haemorrhagic stroke: HR = 1.82, 95% CI: 1.35-2.46, p<0.001) and patients without co-morbidities were at slightly higher risk (without co-morbidities: HR = 1.49, 95% CI: 1.02-2.17, p<0.05; with co-morbidities: HR = 1.24, 95% CI: 1.10-1.41, p<0.001). The impact of septicaemia on stroke risk was highest within 6 months of the event and gradually declined over time. Our results suggest that septicaemia is associated with an increase in stroke risk, which is greatest in haemorrhagic stroke. Closer attention to patients with history of septicaemia may be warranted for stroke preventive measures, especially for younger patients without co-morbidities.
Collapse
Affiliation(s)
- Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
- * E-mail:
| | - Wen Ting Chung
- Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan, Republic of China
| | - Jin-Ding Lin
- School of Public Health, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Giia-Sheun Peng
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chih-Hsin Muo
- Department of Public Health, China Medical University Hospital, Taichung, Taiwan, Republic of China
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Che-Chen Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chi-Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan, Republic of China
| | - I-Kuan Wang
- Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan, Republic of China
- Department of Internal Medicine, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China
- Division of Kidney Disease, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chun-Hung Tseng
- Department of Internal Medicine, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chia-Hung Kao
- Graduate Institute of Clinical Medicine Science and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China
- Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chung Y. Hsu
- Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan, Republic of China
| |
Collapse
|
37
|
Tuan PH, Wen CP, Yu YT, Liang HC, Huang KF, Chen YF. Exploring the distinction between experimental resonant modes and theoretical eigenmodes: from vibrating plates to laser cavities. Phys Rev E Stat Nonlin Soft Matter Phys 2014; 89:022911. [PMID: 25353549 DOI: 10.1103/physreve.89.022911] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Indexed: 06/04/2023]
Abstract
Experimentally resonant modes are commonly presumed to correspond to eigenmodes in the same bounded domain. However, the one-to-one correspondence between theoretical eigenmodes and experimental observations is never reached. Theoretically, eigenmodes in numerous classical and quantum systems are the solutions of the homogeneous Helmholtz equation, whereas resonant modes should be solved from the inhomogeneous Helmholtz equation. In the present paper we employ the eigenmode expansion method to derive the wave functions for manifesting the distinction between eigenmodes and resonant modes. The derived wave functions are successfully used to reconstruct a variety of experimental results including Chladni figures generated from the vibrating plate, resonant patterns excited from microwave cavities, and lasing modes emitted from the vertical cavity.
Collapse
Affiliation(s)
- P H Tuan
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - C P Wen
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - Y T Yu
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - H C Liang
- Institute of Optoelectronic Science, National Taiwan Ocean University, Keelung 20224, Taiwan
| | - K F Huang
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - Y F Chen
- Department of Electrophysics, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan
| |
Collapse
|
38
|
Wang IK, Tsai MK, Liang CC, Yen TH, Huang CC, Wen SF, Wen CP. The role of physical activity in chronic kidney disease in the presence of diabetes mellitus: a prospective cohort study. Am J Nephrol 2013; 38:509-16. [PMID: 24356340 DOI: 10.1159/000357133] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2013] [Accepted: 11/06/2013] [Indexed: 12/26/2022]
Abstract
BACKGROUND/AIMS Although the effect of exercise on health is well established, nephrologists seldom consider physical activity in the treatment of chronic kidney disease (CKD) or CKD in the presence of diabetes mellitus (DM/CKD). The aim of the present study was to analyze the benefits of leisure-time physical activity (LTPA) in DM/CKD. METHODS A total of 445,075 adult participants who underwent a medical screening program between 1996 and 2008 were prospectively recruited. Of these, 7,863 DM/CKD subjects were identified. Each participant was categorized according to LTPA level (a product of duration and intensity) as inactive, low-active or fully active. Hazard ratios (HRs) for mortality risk were calculated. RESULTS Fully active LTPA was associated with lower odds of DM/CKD development and lower risk of mortality among patients with DM/CKD in a dose-response relationship. The fully active and low-active DM/CKD groups had a 26% (HR 0.74, 95% CI 0.66-0.85) and 13% (HR 0.87, 95% CI 0.75-1.01) lower risk of all-cause mortality, respectively, in comparison to the inactive group. The association of exercise with mortality rate reduction was more pronounced among DM/CKD subjects (mortality rate reduction of 446.5 per 100,000 person-years) than among subjects with diabetes alone or CKD alone. CONCLUSION Exercise, at the recommended level or more, is associated not only with lower odds of DM/CKD but also with a 26% lower mortality risk among DM/CKD patients. Nephrologists should encourage all DM/CKD subjects to be physically active
Collapse
Affiliation(s)
- I-Kuan Wang
- Graduate Institute of Clinical Medical Sciences, China Medical University, Taichung, Taiwan, ROC
| | | | | | | | | | | | | |
Collapse
|
39
|
Wang IK, Muo CH, Chang YC, Liang CC, Chang CT, Lin SY, Yen TH, Chuang FR, Chen PC, Huang CC, Wen CP, Sung FC, Morisky DE. Association between hypertensive disorders during pregnancy and end-stage renal disease: a population-based study. CMAJ 2013; 185:207-13. [PMID: 23339156 DOI: 10.1503/cmaj.120230] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Studies into the association between hypertensive disorders during pregnancy and end-stage renal disease are limited. We investigated the risk of end-stage renal disease after delivery among women with hypertensive disorders during pregnancy. METHODS We used insurance claims data from 1998 to 2009 to identify 26,651 women aged 19-40 years old who experienced hypertensive disorders during pregnancy; these women had no history of hypertension, diabetes, kidney disease or lupus. We also randomly selected 213,397 women without hypertensive disorders during pregnancy as a comparison cohort; the frequency was matched by age and index year of pregnancy. We compared the incidence of end-stage renal disease in the 2 cohorts. We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) after controlling for demographic and clinical factors. RESULTS Women with hypertensive disorders during pregnancy had a greater risk of chronic kidney disease and end-stage renal disease, with adjusted HRs of 9.38 (95% CI 7.09-12.4) and 12.4 (95% CI 8.54-18.0), respectively, after controlling for urban status, coronary artery disease, congestive heart failure, hyperlipidemia and abruption. The HR for end-stage renal disease was 2.72 (95% CI 1.76-4.22) after we also controlled for hypertension and diabetes. Women with preeclampsia or eclampsia had a higher risk of end-stage renal disease (adjusted HR 14.0, 95% CI 9.43-20.7) than women who had gestational hypertension only (adjusted HR 9.03, 95% CI 5.20-15.7). INTERPRETATION Women with hypertensive disorders during pregnancy were at a high risk of end-stage renal disease. The risk was much greater for women who had preeclampsia or eclampsia than those who had gestational hypertension only.
Collapse
Affiliation(s)
- I-Kuan Wang
- Graduate Institute of Clinical Medical Science, the Department of Internal Medicine, China Medical University Hospital, and the Department of Public Health, China Medical University, Taichung, Taiwan
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
40
|
Wen CP, Lin J, Yang YC, Tsai MK, Tsao CK, Etzel C, Huang M, Hsu CY, Ye Y, Mishra L, Hawk E, Wu X. Hepatocellular carcinoma risk prediction model for the general population: the predictive power of transaminases. J Natl Cancer Inst 2012; 104:1599-611. [PMID: 23073549 DOI: 10.1093/jnci/djs372] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Risk prediction models for hepatocellular carcinoma are available for individuals with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections who are at high risk but not for the general population with average or unknown risk. We developed five simple risk prediction models based on clinically available data from the general population. METHODS A prospective cohort of 428 584 subjects from a private health screening firm in Taiwan was divided into two subgroups-one with known HCV test results (n = 130 533 subjects) and the other without (n = 298 051 subjects). A total of 1668 incident hepatocellular carcinomas occurred during an average follow-up of 8.5 years. Model inputs included age, sex, health history-related variables; HBV or HCV infection-related variables; serum levels of alanine transaminase (ALT), aspartate transaminase (AST), and alfa-fetoprotein (AFP), as well as other variables of routine blood panels for liver function. Cox proportional hazards regression method was used to identify risk predictors of hepatocellular carcinoma. Receiver operating characteristic curves were used to assess discriminatory accuracy of the models. Models were internally validated. All statistical tests were two-sided. RESULTS Age, sex, health history, HBV and HCV status, and serum ALT, AST, AFP levels were statistically significant independent predictors of hepatocellular carcinoma risk (all P < .05). Use of serum transaminases only in a model showed a higher discrimination compared with HBV or HCV only (for transaminases, area under the curve [AUC] = 0.912, 95% confidence interval [CI] = 0.909 to 0.915; for HBV, AUC = 0.840, 95% CI = 0.833 to 0.848; and for HCV, AUC = 0.841, 95% CI = 0.834 to 0.847). Adding HBV and HCV data to the transaminase-only model improved the discrimination (AUC = 0.933, 95% CI = 0.929 to 0.949). Internal validation showed high discriminatory accuracy and calibration of these models. CONCLUSION Models with transaminase data were best able to predict hepatocellular carcinoma risk even among subjects with unknown or HBV- or HCV-negative infection status.
Collapse
Affiliation(s)
- Chi-Pang Wen
- Institute of Population Science, National Health Research Institutes, Zhunan, Taiwan
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Matsushita K, Ballew SH, Astor BC, Jong PED, Gansevoort RT, Hemmelgarn BR, Levey AS, Levin A, Wen CP, Woodward M, Coresh J. Cohort profile: the chronic kidney disease prognosis consortium. Int J Epidemiol 2012; 42:1660-8. [PMID: 23243116 DOI: 10.1093/ije/dys173] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The Chronic Kidney Disease Prognosis Consortium (CKD-PC) was established in 2009 to provide comprehensive evidence about the prognostic impact of two key kidney measures that are used to define and stage CKD, estimated glomerular filtration rate (eGFR) and albuminuria, on mortality and kidney outcomes. CKD-PC currently consists of 46 cohorts with data on these kidney measures and outcomes from >2 million participants spanning across 40 countries/regions all over the world. CKD-PC published four meta-analysis articles in 2010-11, providing key evidence for an international consensus on the definition and staging of CKD and an update for CKD clinical practice guidelines. The consortium continues to work on more detailed analysis (subgroups, different eGFR equations, other exposures and outcomes, and risk prediction). CKD-PC preferably collects individual participant data but also applies a novel distributed analysis model, in which each cohort runs statistical analysis locally and shares only analysed outputs for meta-analyses. This distributed model allows inclusion of cohorts which cannot share individual participant level data. According to agreement with cohorts, CKD-PC will not share data with third parties, but is open to including further eligible cohorts. Each cohort can opt in/out for each topic. CKD-PC has established a productive and effective collaboration, allowing flexible participation and complex meta-analyses for studying CKD.
Collapse
Affiliation(s)
- Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA, Department of Medicine and Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands, Departments of Medicine, University of Calgary, Calgary, AB, Canada, Division of Nephrology, Tufts Medical Center, Boston, MA, USA, Department of Medicine, St Paul's Hospital, University of British Columbia, Vancouver, BC, Canada, China Medical University Hospital, Taichung, Taiwan and Institute of Population Science, National Health Research Institutes, Zhunan, Taiwan and George Institute, University of Sydney, Australia
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Hallan SI, Matsushita K, Sang Y, Mahmoodi BK, Black C, Ishani A, Kleefstra N, Naimark D, Roderick P, Tonelli M, Wetzels JFM, Astor BC, Gansevoort RT, Levin A, Wen CP, Coresh J. Age and association of kidney measures with mortality and end-stage renal disease. JAMA 2012; 308:2349-60. [PMID: 23111824 PMCID: PMC3936348 DOI: 10.1001/jama.2012.16817] [Citation(s) in RCA: 431] [Impact Index Per Article: 35.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
CONTEXT Chronic kidney disease (CKD) is prevalent in older individuals, but the risk implications of low estimated glomerular filtration rate (eGFR) and high albuminuria across the full age range are controversial. OBJECTIVE To evaluate possible effect modification (interaction) by age of the association of eGFR and albuminuria with clinical risk, examining both relative and absolute risks. DESIGN, SETTING, AND PARTICIPANTS Individual-level meta-analysis including 2,051,244 participants from 33 general population or high-risk (of vascular disease) cohorts and 13 CKD cohorts from Asia, Australasia, Europe, and North/South America, conducted in 1972-2011 with a mean follow-up time of 5.8 years (range, 0-31 years). MAIN OUTCOME MEASURES Hazard ratios (HRs) of mortality and end-stage renal disease (ESRD) according to eGFR and albuminuria were meta-analyzed across age categories after adjusting for sex, race, cardiovascular disease, diabetes, systolic blood pressure, cholesterol, body mass index, and smoking. Absolute risks were estimated using HRs and average incidence rates. RESULTS Mortality (112,325 deaths) and ESRD (8411 events) risks were higher at lower eGFR and higher albuminuria in every age category. In general and high-risk cohorts, relative mortality risk for reduced eGFR decreased with increasing age; eg, adjusted HRs at an eGFR of 45 mL/min/1.73 m2 vs 80 mL/min/1.73 m2 were 3.50 (95% CI, 2.55-4.81), 2.21 (95% CI, 2.02-2.41), 1.59 (95% CI, 1.42-1.77), and 1.35 (95% CI, 1.23-1.48) in age categories 18-54, 55-64, 65-74, and ≥75 years, respectively (P <.05 for age interaction). Absolute risk differences for the same comparisons were higher at older age (9.0 [95% CI, 6.0-12.8], 12.2 [95% CI, 10.3-14.3], 13.3 [95% CI, 9.0-18.6], and 27.2 [95% CI, 13.5-45.5] excess deaths per 1000 person-years, respectively). For increased albuminuria, reduction of relative risk with increasing age was less evident, while differences in absolute risk were higher in older age categories (7.5 [95% CI, 4.3-11.9], 12.2 [95% CI, 7.9-17.6], 22.7 [95% CI, 15.3-31.6], and 34.3 [95% CI, 19.5-52.4] excess deaths per 1000 person-years, respectively by age category, at an albumin-creatinine ratio of 300 mg/g vs 10 mg/g). In CKD cohorts, adjusted relative hazards of mortality did not decrease with age. In all cohorts, ESRD relative risks and absolute risk differences at lower eGFR or higher albuminuria were comparable across age categories. CONCLUSIONS Both low eGFR and high albuminuria were independently associated with mortality and ESRD regardless of age across a wide range of populations. Mortality showed lower relative risk but higher absolute risk differences at older age.
Collapse
Affiliation(s)
- Stein I Hallan
- Division of Nephrology, Department of Medicine, St Olav University Hospital, and Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Fox CS, Matsushita K, Woodward M, Bilo HJG, Chalmers J, Heerspink HJL, Lee BJ, Perkins RM, Rossing P, Sairenchi T, Tonelli M, Vassalotti JA, Yamagishi K, Coresh J, de Jong PE, Wen CP, Nelson RG. Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis. Lancet 2012; 380:1662-73. [PMID: 23013602 PMCID: PMC3771350 DOI: 10.1016/s0140-6736(12)61350-6] [Citation(s) in RCA: 785] [Impact Index Per Article: 65.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND Chronic kidney disease is characterised by low estimated glomerular filtration rate (eGFR) and high albuminuria, and is associated with adverse outcomes. Whether these risks are modified by diabetes is unknown. METHODS We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of mortality and end-stage renal disease (ESRD) associated with eGFR and albuminuria in individuals with and without diabetes. FINDINGS We analysed data for 1,024,977 participants (128,505 with diabetes) from 30 general population and high-risk cardiovascular cohorts and 13 chronic kidney disease cohorts. In the combined general population and high-risk cohorts with data for all-cause mortality, 75,306 deaths occurred during a mean follow-up of 8·5 years (SD 5·0). In the 23 studies with data for cardiovascular mortality, 21,237 deaths occurred from cardiovascular disease during a mean follow-up of 9·2 years (SD 4·9). In the general and high-risk cohorts, mortality risks were 1·2-1·9 times higher for participants with diabetes than for those without diabetes across the ranges of eGFR and albumin-to-creatinine ratio (ACR). With fixed eGFR and ACR reference points in the diabetes and no diabetes groups, HR of mortality outcomes according to lower eGFR and higher ACR were much the same in participants with and without diabetes (eg, for all-cause mortality at eGFR 45 mL/min per 1·73 m(2) [vs 95 mL/min per 1·73 m(2)], HR 1·35; 95% CI 1·18-1·55; vs 1·33; 1·19-1·48 and at ACR 30 mg/g [vs 5 mg/g], 1·50; 1·35-1·65 vs 1·52; 1·38-1·67). The overall interactions were not significant. We identified much the same findings for ESRD in the chronic kidney disease cohorts. INTERPRETATION Despite higher risks for mortality and ESRD in diabetes, the relative risks of these outcomes by eGFR and ACR are much the same irrespective of the presence or absence of diabetes, emphasising the importance of kidney disease as a predictor of clinical outcomes. FUNDING US National Kidney Foundation.
Collapse
Affiliation(s)
- Caroline S Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Center for Population Studies Framingham, MA, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Matsushita K, Mahmoodi BK, Woodward M, Emberson JR, Jafar TH, Jee SH, Polkinghorne KR, Shankar A, Smith DH, Tonelli M, Warnock DG, Wen CP, Coresh J, Gansevoort RT, Hemmelgarn BR, Levey AS. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 2012; 307:1941-51. [PMID: 22570462 PMCID: PMC3837430 DOI: 10.1001/jama.2012.3954] [Citation(s) in RCA: 712] [Impact Index Per Article: 59.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
CONTEXT The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation more accurately estimates glomerular filtration rate (GFR) than the Modification of Diet in Renal Disease (MDRD) Study equation using the same variables, especially at higher GFR, but definitive evidence of its risk implications in diverse settings is lacking. OBJECTIVE To evaluate risk implications of estimated GFR using the CKD-EPI equation compared with the MDRD Study equation in populations with a broad range of demographic and clinical characteristics. DESIGN, SETTING, AND PARTICIPANTS A meta-analysis of data from 1.1 million adults (aged ≥ 18 years) from 25 general population cohorts, 7 high-risk cohorts (of vascular disease), and 13 CKD cohorts. Data transfer and analyses were conducted between March 2011 and March 2012. MAIN OUTCOME MEASURES All-cause mortality (84,482 deaths from 40 cohorts), cardiovascular mortality (22,176 events from 28 cohorts), and end-stage renal disease (ESRD) (7644 events from 21 cohorts) during 9.4 million person-years of follow-up; the median of mean follow-up time across cohorts was 7.4 years (interquartile range, 4.2-10.5 years). RESULTS Estimated GFR was classified into 6 categories (≥90, 60-89, 45-59, 30-44, 15-29, and <15 mL/min/1.73 m(2)) by both equations. Compared with the MDRD Study equation, 24.4% and 0.6% of participants from general population cohorts were reclassified to a higher and lower estimated GFR category, respectively, by the CKD-EPI equation, and the prevalence of CKD stages 3 to 5 (estimated GFR <60 mL/min/1.73 m(2)) was reduced from 8.7% to 6.3%. In estimated GFR of 45 to 59 mL/min/1.73 m(2) by the MDRD Study equation, 34.7% of participants were reclassified to estimated GFR of 60 to 89 mL/min/1.73 m(2) by the CKD-EPI equation and had lower incidence rates (per 1000 person-years) for the outcomes of interest (9.9 vs 34.5 for all-cause mortality, 2.7 vs 13.0 for cardiovascular mortality, and 0.5 vs 0.8 for ESRD) compared with those not reclassified. The corresponding adjusted hazard ratios were 0.80 (95% CI, 0.74-0.86) for all-cause mortality, 0.73 (95% CI, 0.65-0.82) for cardiovascular mortality, and 0.49 (95% CI, 0.27-0.88) for ESRD. Similar findings were observed in other estimated GFR categories by the MDRD Study equation. Net reclassification improvement based on estimated GFR categories was significantly positive for all outcomes (range, 0.06-0.13; all P < .001). Net reclassification improvement was similarly positive in most subgroups defined by age (<65 years and ≥65 years), sex, race/ethnicity (white, Asian, and black), and presence or absence of diabetes and hypertension. The results in the high-risk and CKD cohorts were largely consistent with the general population cohorts. CONCLUSION The CKD-EPI equation classified fewer individuals as having CKD and more accurately categorized the risk for mortality and ESRD than did the MDRD Study equation across a broad range of populations.
Collapse
Affiliation(s)
- Kunihiro Matsushita
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
45
|
Wen CP, Wu X, Yang YC, Tsai MK, Hsu CY. Abstract LB-324: The cancer risks and life shortening effect of low and very low cholesterol among Asians. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-lb-324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Attention has been focused on the increased risk of high cholesterol, but the effect of low cholesterol remains unclear and receives little attention. Method: The study cohort, 537,430 adults in Taiwan who went through a medical screening program between 1996 and 2008, was followed up for an average of 8.5 years for mortality and cancer incidence, with 18,745 deaths and 17,714 cancer cases identified. Low and very low cholesterol or LDL were defined as < 180 and <160, or <110 and <90 mg/dL, respectively. Cox proportionate model was used for hazard ratio (HR) calculation, by controlling for all relevant risk factors (Age, gender, BMI, smoking, drinking, blood pressure, blood sugar, physical activity and anemia) Results: One out of four (24.6%) had low cholesterol and 7.5% had very low cholesterol, in contrast to 10.4% with high cholesterol. Increases in all cancer mortality were found for those with low cholesterol (HR:1.41, with 95% 1.3-1.5) and very low cholesterol (HR: 1.58 with 95% 1.4-1.7), with 180-239 mg/dL as reference. Similar results were seen for cancer incidence. The increase came prominently from liver cancer (HR:2.86), and the increases remained after all deaths or all cancer incidences within the first 3 years were excluded (HR: 1.31), or after HBV carriers were excluded (HR: 1.33). All cancer mortality increased by 1% for every unit decrease of cholesterol across all levels. With 60% increase in all-cause mortality, the life span of very low cholesterol was shortened by 5-6 years. Conclusion: Found in 1/4 of adult Asians, subjects with low cholesterol (<180 mg/dL), a level commonly reached by those taking statins or on vegetarian diet, had approximately 50% increase in cancer risks. The inverse relationship existed across all levels of cholesterol, with 10% increase for every 10-unit decrease. Those with very low cholesterol had their life span shortened by 5-6 years. While reverse causation with pre-clinical cancer cases could be responsible, the fact that the cancer risks remained after excluding first three years of cancer implied low cholesterol is an independent risk factor or risk marker for all cancer. In this Asian community, low cholesterol should receive as much attention as high cholesterol.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr LB-324. doi:1538-7445.AM2012-LB-324
Collapse
Affiliation(s)
- Chi-Pang Wen
- 1China Medical University and National Health Research Institutes, Zhunan Town, Maioli County, Taiwan
| | - Xifeng Wu
- 2MD Anderson Cancer Center, Houston, TX
| | - Yi Chen Yang
- 1China Medical University and National Health Research Institutes, Zhunan Town, Maioli County, Taiwan
| | - Min Kuang Tsai
- 1China Medical University and National Health Research Institutes, Zhunan Town, Maioli County, Taiwan
| | - Chung Yi Hsu
- 1China Medical University and National Health Research Institutes, Zhunan Town, Maioli County, Taiwan
| |
Collapse
|
46
|
Wen CP, Lin J, Yang YC, Tsao CK, Etzel C, Huang M, Tsai MK, Ye Y, Lopa M, Hawk E, Wu X. Abstract 5509: Liver cancer risk prediction model from a large prospective cohort in Taiwan. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-5509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Models predicting liver cancer are only available for the high risk population with hepatitis carriers but not for the general population. we developed risk prediction models for liver cancer using data collected from a large health screening program in Taiwan with long term follow up. The cohort included 444,023 subjects at baseline. During a median follow up time of 7.4 years, 1,668 subjects developed liver cancer. Epidemiologic data, medical history and routine blood panel including serum transaminases data were collected with optional additional testing for HBV or HCV status. Liver cancer cases were ascertained by computerized record linkage with both the National Cancer Registry and the National Death Certification profiles in Taiwan. Stepwise Cox regression analysis was performed to identify significant predictors in the multivariate models. Individualized risk of developing liver cancer in 10 years was calculated from baseline probability and relative risk profile estimated from the Cox regression model. Models were developed separately to provide risk prediction for subjects who chose to have HCV tested (130,533 subjects at baseline and 416 liver cancer cases) and who chose otherwise (313,490 subjects and 1,252 liver cancer cases). Since the results for both sub-cohorts are comparable and we only reported results for the sub-cohort with HCV tested. In the sub-cohort with HCV tested, the model with only questionnaire data identified significant main effects for male gender, older age, prior history of diabetes, pack year of smoking, alcohol use, and physical inactivity. This epidemiologic model had an AUC of 0.798 (95% CI=0.772-0.815) for 10-year risk prediction. With only data from measures of Transaminases, the model achieved an AUC of 0.927 (95% CI=0.911-0.938), a significant increase as compared to the model with only epidemiologic variables. The addition of HBV improved the AUC to 0.936 (95% CI=0.913-0.958). Similar results were obtained for sub-cohort without HCV testing. The addition of HCV status in combination with HBV status, the AUC improve to 0.941 (95% CI=0.918-0.967). Among models using key history and blood panels, the use of serum Transaminases only, available in routine health check-ups, was able to provide most information needed in predicting liver cancer in the general public. Additional testing of HBV and /or HCV further increased the prediction power. This simple transaminase-based model for the general public can be valuable in clinical practice for identifying high risk individuals.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5509. doi:1538-7445.AM2012-5509
Collapse
Affiliation(s)
| | - Jie Lin
- 1UT M.D. Anderson Cancer Ctr., Houston, TX
| | - Yi-Chen Yang
- 2MJ Health Management Institution, Taipei, Taiwan
| | | | | | | | | | | | | | | | - Xifeng Wu
- 1UT M.D. Anderson Cancer Ctr., Houston, TX
| |
Collapse
|
47
|
Mafham M, Emberson J, Landray MJ, Wen CP, Baigent C. Estimated glomerular filtration rate and the risk of major vascular events and all-cause mortality: a meta-analysis. PLoS One 2011; 6:e25920. [PMID: 22039429 PMCID: PMC3198450 DOI: 10.1371/journal.pone.0025920] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Accepted: 09/13/2011] [Indexed: 11/26/2022] Open
Abstract
Background Lower estimated glomerular filtration rate (eGFR) has been associated with an increased risk of major vascular events (MVEs) and death, but differences in methodology make between-study comparisons difficult. We used a novel method to summarise the published results. Methods and Findings Studies assessing the relationship between baseline eGFR and subsequent MVEs or all cause mortality were identified using Pubmed. Those which involved at least 500 individuals, planned at least 1 year of follow-up, reported age and sex adjusted relative risks, and provided the mean eGFR in each category (or sufficient information to allow its estimation) were included. To take account of differences in underlying risk between studies, proportional within-study differences in eGFR (rather than absolute eGFR values) were related to risk. Fifty studies (2 million participants) assessing MVEs and 67 studies (5 million participants) assessing all cause mortality were eligible. There was an inverse relationship between lower eGFR and the risk of MVEs and of death. In studies among people without prior vascular disease, a 30% lower eGFR level was on average associated with a 29% (SE 0.2%) increase in the risk of a MVE and a 31% (SE 0.2%) increase in the risk of death from any cause. In studies among people with prior vascular disease, these estimates were 26% (SE 1.0%) and 23% (SE 0.2%) respectively. While there was substantial statistical heterogeneity between the results of individual studies, a 30% lower eGFR was consistently associated with a 20-30% higher risk of both outcomes, irrespective of prior history of vascular disease or study design. Conclusions Lower eGFR was consistently associated with a moderate increase in the risk of death and MVEs. If these relationships are causal and continuous, then around one fifth of vascular events among those over 70 years might be attributable to renal impairment.
Collapse
Affiliation(s)
- Marion Mafham
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom
| | - Jonathan Emberson
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom
| | - Martin J. Landray
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom
| | - Chi-Pang Wen
- Center for Health Policy Research and Development, National Health Research Institutes, Zhunan, Taiwan
| | - Colin Baigent
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom
- * E-mail:
| |
Collapse
|
48
|
Wen CP, Chan HT, Tsai MK, Cheng TYD, Chung WSI, Chang YC, Hsu HL, Tsai SP, Tsao CK, Man Wai JP, Hsu CC. Attributable mortality burden of metabolic syndrome: comparison with its individual components. ACTA ACUST UNITED AC 2011; 18:561-73. [DOI: 10.1177/1741826710389422] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Chi-Pang Wen
- China Medical University Hospital, Taichung, Taiwan
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | | | | | | | - Wen-Shen I Chung
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yen-Chen Chang
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Hui-Ling Hsu
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Shan-Pou Tsai
- University of Texas School of Public Health, Houston, USA
| | | | - Jackson Pui Man Wai
- Laboratory for Exercise Physiology Research, Institute of Sport Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chih-Cheng Hsu
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Health Services Administration, China Medical University and Hospital, Taichung, Taiwan
| |
Collapse
|
49
|
Hsu CC, Hwang SJ, Tai TY, Chen T, Huang MC, Shin SJ, Wen CP, Shih YT, Yang HJ, Chang CT, Chang CJ, Loh CH, Fuh MT, Li YS, Chang HY. Cigarette smoking and proteinuria in Taiwanese men with Type 2 diabetes mellitus. Diabet Med 2010; 27:295-302. [PMID: 20536492 DOI: 10.1111/j.1464-5491.2010.02947.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS Cigarette smoking is a well-known risk factor associated with diabetic nephropathy. The objective of this study was to further investigate the dose-response effect of tobacco exposure on proteinuria in males with Type 2 diabetes. METHODS Five hundred and nine males with Type 2 diabetes were selected from a cohort participating in a glucose control study in Taiwan. Pack-years of cigarette smoking were calculated to define tobacco exposure. Proteinuria was identified if albumin-to-creatinine ratio was > or = 30 mg/g in at least two of three consecutive urine tests. Logistic regression and trend tests were used to delineate the association between smoking status and proteinuria. RESULTS Compared with non-smokers, those who had smoked 15-30 or more than 30 pack-years were respectively 2.78 (95% CI 1.34-5.76, P < 0.01) and 3.20 (95% CI 1.74-5.86, P < 0.001) times more likely to develop proteinuria. The dose-response effect of tobacco exposure on the development of proteinuria is highly significant in all subjects (P = 0.001) and in subgroups with relatively short duration of diabetes mellitus (P < 0.001), good blood pressure control (P = 0.001) and those of young age (P = 0.007). CONCLUSIONS The current study shows a clear dose-response effect of cigarette smoking on development of proteinuria in male Type 2 diabetic patients. These findings reinforce the urgent need to encourage diabetic patients to stop smoking regardless of age, duration of diabetes mellitus or status of blood pressure control.
Collapse
Affiliation(s)
- C C Hsu
- Division of Health Policy Research and Development, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Chiang PH, Wen CP. Abstract A23: PSA testing and prostate cancer mortality in an Asian population: Linking prevalence of elevated PSA and mortality rate. Cancer Prev Res (Phila) 2010. [DOI: 10.1158/1940-6207.prev-09-a23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In Asian populations, prostate cancer mortality (PCM) has been increasing with the increasing use of PSA testing.
Objectives: 1) To establish prevalence of elevated PSA at different cutpoints in Taiwan and to assess the predictive relationship of PSA with PCM. 2) To compare PCM between those with PSA tested and not tested from a cohort study.
Methods: Among the cohort, 231,937, who received standard medical screening examination between 1994 and 2006 at a private screening clinic, 46,951 subjects, aged at least 50 years old, had PSA test results. Age and education were adjusted to those of Taiwan to arrive at national PSA prevalence. PCM was compared between the PSA untested (38,596) and PSA tested group (24,176), with the latter including those with a self-reported history of prostate cancer (1,675).
Results: National prevalence of PSA was 8.8% (threshold at 4) and 1.9% (threshold at 10). With national mortality rate at 30.1/100,000, the chance of dying in ten years was 3.4%, 15.8% or 27.9% among those above threshold at 4, 10, or 15, respectively, yielding false positives rates, with mortality as the outcome, 96.4%, 84.2% or 72.1%, and false negative rates, 12%, 33% or 50%, respectively. Having PSA tested, when compared with not tested, was not associated with decreased mortality from prostate cancer, even though PSA tested group, a higher educational class, had significantly decreased mortality from all cause. Increasing PSA levels were associated with increasing HRs.
Conclusion: PSA value above standard threshold of 4 is common in this Asian population (one out of 11 for age 50 and older), but only one in 29 tested positive was expected to die from prostate cancer within the next 10 years. This 10-year probability increased when threshold was 10 (1/6) but was still low. The high false positive rate of PSA (97%) and the harm associated with intervention among Asians should be communicated to the elderly patients, in view of the particularly low mortality rate of this cancer.
Citation Information: Cancer Prev Res 2010;3(1 Suppl):A23.
Collapse
Affiliation(s)
- Po-Huang Chiang
- National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan
| | - Chi-Pang Wen
- National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan
| |
Collapse
|