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Kunutsor SK, Tetteh J, Dey RS, Touw DJ, Dullaart RPF, Bakker SJL. Self-reported smoking, urine cotinine, and risk of type 2 diabetes: Findings from the PREVEND prospective cohort study. Prim Care Diabetes 2024; 18:414-421. [PMID: 38734534 DOI: 10.1016/j.pcd.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/17/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Smoking is a major risk factor for type 2 diabetes (T2D), but the evidence has mostly relied on self-reports. We aimed to compare the associations of smoking exposure as assessed by self-reports and urine cotinine with T2D. METHODS Using the PREVEND prospective study, smoking status was assessed at baseline by self-reports and urine cotinine in 4708 participants (mean age, 53 years) without a history of diabetes. Participants were classified as never, former, light current and heavy current smokers according to self-reports and analogous cut-offs for urine cotinine. Hazard ratios (HRs) with 95% CIs were estimated for T2D. RESULTS During a median follow-up of 7.3 years, 259 participants developed T2D. Compared with self-reported never smokers, the multivariable adjusted HRs (95% CI) of T2D for former, light current, and heavy current smokers were 1.02 (0.75-1.4), 1.41 (0.89-2.22), and 1.30 (0.88-1.93), respectively. The corresponding adjusted HRs (95% CI) were 0.84 (0.43-1.67), 1.61 (1.12-2.31), and 1.58 (1.08-2.32), respectively, as assessed by urine cotinine. Urine cotinine-assessed but not self-reported smoking status improved T2D risk prediction beyond established risk factors. CONCLUSION Urine cotinine assessed smoking status may be a stronger risk indicator and predictor of T2D compared to self-reported smoking status.
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Affiliation(s)
- Setor K Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
| | - John Tetteh
- Department of Population Health Sciences, University of Leicester, Leicester, UK; Department of Community Health, University of Ghana Medical School, Accra, Ghana
| | - Richard S Dey
- Department of Medicine, University of Ghana Hospital, Legon, Ghana
| | - Daan J Touw
- Department of Pharmacy and Clinical Pharmacology, University of Groningen and University Medical Center Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, Division of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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Yuan F, Li Z, Chen S, He Y, Chen Q, Lv J, Zhao M. Risk prediction for preeclampsia in CKD patients: development of a model in a retrospective cohort. J Nephrol 2024:10.1007/s40620-024-02010-w. [PMID: 38965198 DOI: 10.1007/s40620-024-02010-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 06/13/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Chronic kidney disease (CKD) may affect women of childbearing age and may lead to substantial maternal and foetal morbidity and mortality in pregnancy. There is a lack of prediction models for preeclampsia and adverse pregnancy outcomes in pregnant women with CKD. This study aimed to create a prediction nomogram for these issues. METHODS This retrospective cohort study included clinical data from 627 women with CKD and their 627 pregnancies at Peking University First Hospital between January 1, 2009, and December 31, 2022. Multivariate logistic regression analysis was conducted to identify independent prognostic factors and develop a nomogram for predicting the occurrence of preeclampsia. The identified risk factors were utilised to construct the nomogram, which was subsequently internally validated using receiver operating characteristic (ROC) analysis and calibration curve assessment. RESULTS According to our multivariate analysis, age, blood urea nitrogen (BUN), serum creatinine (Scr), mean arterial pressure (MAP), 24-h proteinuria, and CKD stage were identified as predictors of preeclampsia. Additionally, Scr, MAP, BUN, and 24-h proteinuria were found to be predictors of adverse pregnancy outcomes. The nomogram for predicting preeclampsia had an area under the ROC curve of 0.910, while the nomogram for predicting adverse pregnancy outcomes had an area under the ROC curve of 0.906. Both models demonstrated excellent discriminatory ability. CONCLUSIONS A nomogram based on 24-h proteinuria, serum creatinine, serum urea and age, and MAP allows predicting the occurrence of preeclampsia and other adverse pregnancy-related outcomes in CKD patients.
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Affiliation(s)
- Fangchen Yuan
- Department of Obstetrics and Gynecology, First Hospital, Peking University, Beijing, 100034, People's Republic of China
| | - Zheng Li
- Department of Obstetrics and Gynecology, First Hospital, Peking University, Beijing, 100034, People's Republic of China
| | - Shi Chen
- Department of Obstetrics and Gynecology, First Hospital, Peking University, Beijing, 100034, People's Republic of China
| | - Yingdong He
- Department of Obstetrics and Gynecology, First Hospital, Peking University, Beijing, 100034, People's Republic of China.
| | - Qian Chen
- Department of Obstetrics and Gynecology, First Hospital, Peking University, Beijing, 100034, People's Republic of China
| | - Jicheng Lv
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China
| | - Minghui Zhao
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China
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Waki K, Nara M, Enomoto S, Mieno M, Kanda E, Sankoda A, Kawai Y, Miyake K, Wakui H, Tsurutani Y, Hirawa N, Yamakawa T, Komiya S, Isogawa A, Satoh S, Minami T, Iwamoto T, Takano T, Terauchi Y, Tamura K, Yamauchi T, Nangaku M, Kashihara N, Ohe K. Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial. NPJ Digit Med 2024; 7:104. [PMID: 38678094 PMCID: PMC11055918 DOI: 10.1038/s41746-024-01114-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 04/15/2024] [Indexed: 04/29/2024] Open
Abstract
We evaluated the effectiveness of a mobile health (mHealth) intervention for diabetic kidney disease patients by conducting a 12-month randomized controlled trial among 126 type 2 diabetes mellitus patients with moderately increased albuminuria (urinary albumin-to-creatinine ratio (UACR): 30-299 mg/g creatinine) recruited from eight clinical sites in Japan. Using a Theory of Planned Behavior (TPB) behavior change theory framework, the intervention provides patients detailed information in order to improve patient control over exercise and dietary behaviors. In addition to standard care, the intervention group received DialBetesPlus, a self-management support system allowing patients to monitor exercise, blood glucose, diet, blood pressure, and body weight via a smartphone application. The primary outcome, change in UACR after 12 months (used as a surrogate measure of renal function), was 28.8% better than the control group's change (P = 0.029). Secondary outcomes also improved in the intervention group, including a 0.32-point better change in HbA1c percentage (P = 0.041). These improvements persisted when models were adjusted to account for the impacts of coadministration of drugs targeting albuminuria (GLP-1 receptor agonists, SGLT-2 inhibitors, ACE inhibitors, and ARBs) (UACR: -32.3% [95% CI: -49.2%, -9.8%] between-group difference in change, P = 0.008). Exploratory multivariate regression analysis suggests that the improvements were primarily due to levels of exercise. This is the first trial to show that a lifestyle intervention via mHealth achieved a clinically-significant improvement in moderately increased albuminuria.
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Affiliation(s)
- Kayo Waki
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
- Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan.
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Mitsuhiko Nara
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Metabolism and Endocrinology, Akita University Graduate School of Medicine, Akita, Japan
| | - Syunpei Enomoto
- Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan
| | - Makiko Mieno
- Department of Medical Informatics, Center for Information, Jichi Medical University, Shimotsuke, Japan
| | - Eiichiro Kanda
- Medical Science, Kawasaki Medical School, Kurashiki, Japan
| | - Akiko Sankoda
- Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan
| | - Yuki Kawai
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kana Miyake
- Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan
| | - Hiromichi Wakui
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yuya Tsurutani
- Endocrinology and Diabetes Center, Yokohama Rosai Hospital, Yokohama, Japan
| | - Nobuhito Hirawa
- Department of Nephrology and Hypertension, Yokohama City University Medical Center, Yokohama, Japan
| | - Tadashi Yamakawa
- Department of Endocrinology and Diabetes, Yokohama City University Medical Center, Yokohama, Japan
| | - Shiro Komiya
- Department of Nephrology and Hypertension, Yokohama City University Medical Center, Yokohama, Japan
| | - Akihiro Isogawa
- Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
| | - Shinobu Satoh
- Department of Endocrinology and Metabolism, Chigasaki Municipal Hospital, Chigasaki, Japan
| | - Taichi Minami
- Department of Diabetes and Endocrinology, Saiseikai Yokohamashi Nanbu Hospital, Yokohama, Japan
| | - Tamio Iwamoto
- Department of Nephrology and Hypertension, Saiseikai Yokohamashi Nanbu Hospital, Yokohama, Japan
| | - Tatsuro Takano
- Department of Diabetes and Endocrinology, Fujisawa City Hospital, Fujisawa, Japan
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kouichi Tamura
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Naoki Kashihara
- Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Japan
| | - Kazuhiko Ohe
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Planning, Information and Management, University of Tokyo Hospital, Tokyo, Japan
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Kunutsor SK, Bhattacharjee A, Connelly MA, Bakker SJL, Dullaart RPF. Alcohol Consumption, High-Density Lipoprotein Particles and Subspecies, and Risk of Cardiovascular Disease: Findings from the PREVEND Prospective Study. Int J Mol Sci 2024; 25:2290. [PMID: 38396968 PMCID: PMC10889823 DOI: 10.3390/ijms25042290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
The associations of HDL particle (HDL-P) and subspecies concentrations with alcohol consumption are unclear. We aimed to evaluate the interplay between alcohol consumption, HDL parameters and cardiovascular disease (CVD) risk. In the PREVEND study of 5151 participants (mean age, 53 years; 47.5% males), self-reported alcohol consumption and HDL-P and subspecies (small, medium, and large) by nuclear magnetic resonance spectroscopy were assessed. Hazard ratios (HRs) with 95% CIs for first CVD events were estimated. In multivariable linear regression analyses, increasing alcohol consumption increased HDL-C, HDL-P, large and medium HDL, HDL size, and HDL subspecies (H3P, H4P, H6 and H7) in a dose-dependent manner. During a median follow-up of 8.3 years, 323 first CVD events were recorded. Compared with abstainers, the multivariable adjusted HRs (95% CIs) of CVD for occasional to light, moderate, and heavy alcohol consumers were 0.72 (0.55-0.94), 0.74 (0.54-1.02), and 0.65 (0.38-1.09), respectively. These associations remained consistent on additional adjustment for each HDL parameter. For CVD, only HDL-C was associated with a statistically significant decreased risk of CVD in a fully adjusted analysis (HR 0.84, 95% CI 0.72-0.97 per 1 SD increment). For coronary heart disease, HDL-C, HDL-P, medium HDL, HDL size, and H4P showed inverse associations, whereas HDL-C and HDL size modestly increased stroke risk. Except for H6P, alcohol consumption did not modify the associations between HDL parameters and CVD risk. The addition of HDL-C, HDL size, or H4P to a CVD risk prediction model containing established risk factors improved risk discrimination. Increasing alcohol consumption is associated with increased HDL-C, HDL-P, large and medium HDL, HDL size, and some HDL subspecies. Associations of alcohol consumption with CVD are largely independent of HDL parameters. The associations of HDL parameters with incident CVD are generally not attenuated or modified by alcohol consumption.
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Affiliation(s)
- Setor K. Kunutsor
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester LE5 4WP, UK
| | - Atanu Bhattacharjee
- Division of Population Health and Genomics, University of Dundee, Dundee DD1 4HN, UK;
| | | | - Stephan J. L. Bakker
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands;
| | - Robin P. F. Dullaart
- Division of Endocrinology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB Groningen, The Netherlands;
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Flores-Guerrero JL, Been RA, Shalaurova I, Connelly MA, van Dijk PR, Dullaart RPF. Triglyceride/HDL cholesterol ratio and lipoprotein insulin resistance Score: Associations with subclinical atherosclerosis and incident cardiovascular disease. Clin Chim Acta 2024; 553:117737. [PMID: 38142802 DOI: 10.1016/j.cca.2023.117737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND The triglyceride/HDL cholesterol (TG/HDL-C) ratio and the Lipoprotein Insulin Resistance (LP-IR) score are lipid markers of insulin resistance. Their associations with carotid intima media thickness (cIMT; subclinical atherosclerosis) and incident cardiovascular disease (CVD) have not been thoroughly investigated. METHODS In a cross-sectional cohort (89 subjects without type 2 diabetes (T2D) and 81 subjects with T2D we determined cIMT (ultrasound), homeostasis model assessment of insulin resistance (HOMA-IR) and the TG/HDL-C ratio. The LP-IR score, based on 6 lipoprotein characteristics determined by nuclear magnetic resonance spectroscopy, was measured in 123 participants. A prospective study was carried out among 6232 participants (Prevention of REnal and Vascular ENd-stage Disease study). RESULTS Cross-sectionally, the adjusted associations of HOMA-IR, the TG/HDL-C ratio and the LP-IR score with cIMT were approximately similar (standardized β = 0.34 (95 % CI 0.19-0.48), 0.24 (95 % CI 0.09-039) and 0.41 (95 % CI 0.23--0.59), respectively). Prospectively, 507 new cases of CVD were observed after a median follow-up of 8.2 (interquartile range 7.5-8.8) years. HOMA-IR, the TG/HDL-C ratio and LP-IR were each associated with incident CVD independent of potential confounders (HR 1.12, 95 % CI 1.02-1.24;1.22, 95 % CI 1.11-1.35 and 1.15. 95 % CI 1.01-1.31, respectively). The association of the TG/HDL-C ratio with incident CVD was somewhat stronger than that of HOMA-IR. CONCLUSION Lipoprotein-based markers of insulin resistance are at least as strongly associated with subclinical atherosclerosis and clinical atherosclerosis development as HOMA-IR, obviating the need to measure insulin to determine the impact of insulin resistance. For practical purposes, the easily obtainable TG/HDL-C ratio may suffice.
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Affiliation(s)
- José L Flores-Guerrero
- Interdisciplinary Center for Research and Science Education, Autonomous University of Puebla, Puebla, Mexico
| | - Riemer A Been
- Department of Internal Medicine, Division of Endocrinology, University Medical Center Groningen, University of Groningen, the Netherlands
| | | | | | - Peter R van Dijk
- Department of Internal Medicine, Division of Endocrinology, University Medical Center Groningen, University of Groningen, the Netherlands.
| | - Robin P F Dullaart
- Department of Internal Medicine, Division of Endocrinology, University Medical Center Groningen, University of Groningen, the Netherlands
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Kao TW, Liao CW, Tsai CH, Chang YY, Pan CT, Chang CC, Lee BC, Huang WC, Huang KH, Lu CC, Lai TS, Chan CK, Chueh JS, Wu VC, Hung CS, Chen ZW, Lin YH. Synergistic effect of albuminuria on atherosclerosis in patients with primary aldosteronism. Ther Adv Chronic Dis 2023; 14:20406223231210114. [PMID: 38362007 PMCID: PMC10867404 DOI: 10.1177/20406223231210114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 10/10/2023] [Indexed: 02/17/2024] Open
Abstract
Background Primary aldosteronism (PA) has been associated with atherosclerosis beyond the extent of essential hypertension, but the impact of albuminuria remains unknown. Objective To investigate the effect of concomitant albuminuria on arterial stiffness in PA. Design Prospective cohort study. Methods A prospective cohort study was conducted to evaluate the association of albuminuria (>30 mg/g in morning spot urine) with arterial stiffness, as measured non-invasively by pulse wave velocity (PWV) in patients with PA. Propensity score matching (PSM) with age, sex, diabetes, systolic and diastolic blood pressure, creatinine, potassium, number of antihypertensive medications, and hypertension history was used to balance baseline characteristics. The effects of albuminuria on PWV before and 1 year after treatment were analyzed. Results A total of 840 patients with PA were enrolled, of whom 243 had concomitant albuminuria. After PSM, there were no significant differences in baseline demographic parameters except alpha-blocker and spironolactone use. PWV was greater in the presence of albuminuria (p = 0.012) and positively correlated with urine albumin-creatinine ratio. Multivariable regression analysis identified albuminuria, age, body weight, systolic blood pressure, and calcium channel blocker use as independent predictors of PWV. As for treatment response, only PA patients with albuminuria showed significant improvements in PWV after PSM (p = 0.001). The magnitude of improvement in PWV increased with urine albumin-creatinine ratio and reached plateau when it exceeded 100 mg/g according to restricted cubic spline analysis. Conclusion Concomitant albuminuria in PA was associated with greater arterial stiffness and more substantial improvement after targeted treatment. Both the baseline and the improved extent of PWV increased in correlation with rising urine albumin-creatinine ratio levels, reaching a plateau when the urine albumin-creatinine ratio surpassed 100 mg/g.
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Affiliation(s)
- Ting-Wei Kao
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Che-Wei Liao
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Medicine, National University Cancer Center, Taipei, Taiwan
| | - Cheng-Hsuan Tsai
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Yao Chang
- Department of Cardiovascular Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan
| | - Chien-Ting Pan
- Department of Internal Medicine, National University Hospital and National University College of Medicine, Taipei, Taiwan
- Department of Internal Medicine, National University Hospital Yun-Lin Branch, Yun-Lin, Taiwan
| | - Chin-Chen Chang
- Department of Medical Imaging, National University Hospital and National University College of Medicine, Taipei, Taiwan
| | - Bo-Ching Lee
- Department of Medical Imaging, National University Hospital and National University College of Medicine, Taipei, Taiwan
| | - Wei-Chieh Huang
- Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Kuo-How Huang
- Department of Urology, National University Hospital and National University College of Medicine, Taipei, Taiwan
| | - Ching-Chu Lu
- Department of Nuclear Medicine, National University Hospital, Taipei, Taiwan
| | - Tai-Shuan Lai
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chieh-Kai Chan
- Department of Internal Medicine, National University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | | | - Vin-Cent Wu
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chi-Sheng Hung
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Zheng-Wei Chen
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, No. 579, Sec. 2, Yun-Lin Rd., Douliu City, Yun-Lin County 640203
| | - Yen-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
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Chang LH, Chu CH, Huang CC, Lin LY. Soluble tumor necrosis factor receptor type 1 predicts cardiorenal outcomes and better associated with distinct cardiovascular or renal outcomes than precedential renal or cardiovascular events in type 2 diabetes mellitus. Ther Adv Endocrinol Metab 2023; 14:20420188231207345. [PMID: 37916029 PMCID: PMC10617259 DOI: 10.1177/20420188231207345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 09/26/2023] [Indexed: 11/03/2023] Open
Abstract
Background Inflammations are the crucial pathogenesis of chronic complications of type 2 diabetes mellitus (T2DM). Objectives The timeline of cardiovascular and renal complications of T2DM and whether soluble tumor necrosis factor receptor type 1 (sTNFR1) levels predict cardiorenal outcomes were still elusive. Design Prospectively observational study. Methods Chinese patients with T2DM were enrolled. Cardiorenal composite events defined by either cardiovascular composite events (all-cause mortality, acute coronary syndrome, or non-fatal stroke) or renal composite events (a decline of >30% of renal function or worsening status of albuminuria) were followed. Associations of sTNFR1 levels and cardiovascular, renal, and cardiorenal composite events were analyzed in regression models presented by hazard ratio (HR) and 95% confidence interval (95% CI). Results Among 370 subjects, 42 cardiovascular and 86 renal composite events occurred. Higher sTNFR1 levels were related to higher frequency and risks of cardiovascular composite events (HR 1.07, 95% CI 1.01-1.13, p = 0.009) and renal composite events (HR 1.05, 95% CI 1.02-1.09, p < 0.001). Occurrences of cardiovascular composite events were not predicted by precedential renal composite events. sTNFR1 levels were proved to be associated with risks of cardiorenal composite events in Cox regression sequential models (adjusted HR 1.04, 95% CI 1.00-1.08, p = 0.03). The results were consistent in all subgroup analyses. Conclusion Levels of sTNFR1 were associated with cardiorenal complications of T2DM and the predictabilities of TNFR1 levels were better than precedential cardiovascular or renal events.
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Affiliation(s)
- Li-Hsin Chang
- Division of Endocrinology and Metabolism, Department of Medicine, Yeezen General Hospital, Taoyuan
| | - Chia-Huei Chu
- Department of Otorhinolaryngology-Head and Neck Surgery, Mackay Memorial Hospital, Taipei
- Department of Audiology and Speech Language Pathology, Mackay Medical College, New Taipei City
| | - Chin-Chou Huang
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei
| | - Liang-Yu Lin
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 11217
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei
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Li Z, Chen S, Tan Y, Lv J, Zhao M, Chen Q, He Y. Twenty-four-hour proteinuria levels are associated with adverse pregnancy outcomes among women with CKD. Clin Kidney J 2023; 16:1634-1643. [PMID: 37779840 PMCID: PMC10539237 DOI: 10.1093/ckj/sfad044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Indexed: 10/03/2023] Open
Abstract
Background Proteinuria is commonly measured to assess the renal status of chronic kidney disease (CKD) patients before the 20th week of gestation during pregnancy. High levels of proteiuria have been associated with adverse pregnancy outcomes. However, researchers have not clearly determined what baseline proteinuria levels would be associated with adverse pregnancy outcomes. This study aimed to analyse associations between proteinuria levels and adverse pregnancy outcomes among CKD patients treated with or without steroids/immunosuppressive therapy in early pregnancy. Methods This retrospective study included the clinical information of 557 pregnant patients with CKD from 1 January 2009 to 31 December 2021. A multivariable logistic regression analysis was conducted to evaluate the risk of adverse pregnancy outcomes across various proteinuria ranges, which were further stratified by whether the patients were receiving steroids/immunosuppressive therapy. Results (i) Proteinuria was assessed on 24-h urine collection. The median (quartile) baseline proteinuria levels were 0.83 g (0.20, 1.92) and 0.25 g (0.06, 0.80) in the steroids/immunosuppressive therapy and therapy-free groups, respectively. (ii) CKD patients with adverse pregnancy outcomes had significantly higher proteinuria levels in the first trimester than patients without adverse pregnancy outcomes. (iii) The risk of adverse pregnancy outcomes increased with increasing baseline proteinuria levels (P < .001). (iv) In the early-pregnancy steroids/immunosuppressive therapy group, the risk of severe preeclampsia was higher in patients with higher baseline proteinuria levels (P < .007) [odds ratio (OR) 30.86 for proteinuria ≥5.00 g/24 h]; in the therapy-free group, the risks of severe preeclampsia, very-low-birth-weight infants, early preterm birth and foetal-neonatal death were higher in patients with higher baseline proteinuria levels (OR 53.16 for proteinuria ≥5.00 g/24 h; OR 37.83 for proteinuria ≥5.00 g/24 h; OR 15.30 for proteinuria ≥5.00 g/24 h; and OR 18.83 for proteinuria ≥5.00 g/24 h, respectively; P < .001, P < .001, P < .001 and P = .006, respectively). Conclusions As shown in the present study, a baseline 24-h proteinuria level >1.00 g was associated with adverse maternal outcomes. Furthermore, a 24-h proteinuria level >2.00 g increased the incidence of adverse foetal events among CKD patients.
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Affiliation(s)
- Zheng Li
- Department of Obstetrics and Gynecology, Peking University, First Hospital, Beijing, P.R. China
| | - Shi Chen
- Department of Obstetrics and Gynecology, Peking University, First Hospital, Beijing, P.R. China
| | - Ying Tan
- Renal Division, Department of Medicine, Peking University, First Hospital, Peking University Institute of Nephrology, Beijing, P.R. China
| | - Jicheng Lv
- Renal Division, Department of Medicine, Peking University, First Hospital, Peking University Institute of Nephrology, Beijing, P.R. China
| | - Minghui Zhao
- Renal Division, Department of Medicine, Peking University, First Hospital, Peking University Institute of Nephrology, Beijing, P.R. China
| | - Qian Chen
- Department of Obstetrics and Gynecology, Peking University, First Hospital, Beijing, P.R. China
| | - Yingdong He
- Department of Obstetrics and Gynecology, Peking University, First Hospital, Beijing, P.R. China
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Colasante AM, Bartiromo M, Nardolillo M, Guarino S, Marzuillo P, Mangoni di S Stefano GSRC, Miraglia del Giudice E, Di Sessa A. Tangled relationship between insulin resistance and microalbuminuria in children with obesity. World J Clin Pediatr 2022; 11:455-462. [PMID: 36439903 PMCID: PMC9685682 DOI: 10.5409/wjcp.v11.i6.455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/19/2022] [Accepted: 10/28/2022] [Indexed: 11/07/2022] Open
Abstract
Childhood obesity represents a complex disease with a well-known cardiometabolic burden including fatty liver, type 2 diabetes, metabolic syndrome, and cardiovascular disease. From a pathogenic point of view, insulin resistance (IR) represents the key factor underlying the spectrum of these obesity consequences. As observed in adults, recent data supported the occurrence of microalbuminuria (MA) as marker of early kidney dysfunction and its potential link with cardiometabolic factors also in children with obesity. In fact, a well-documented pathophysiological hypothesis both in adults and children supported an intimate correlation with the major feature of obesity such as IR through the influence of insulin on renal hemodynamics. Based on the clinical and prognostic relevance of this relationship in daily practice (including an increased risk of chronic kidney disease development overtime), more scientific attention needs to be paid to the evaluation of early kidney damage in children with obesity. In this paper, we attempt to address three debated questions regarding the intriguing liaison between IR and MA in children with obesity: (1) What is the prevalence of pediatric MA? (2) What is the state of art of MA in children with obesity? and (3) Is there a link between IR and MA in children with obesity?
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Affiliation(s)
- Alberto Maria Colasante
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Mario Bartiromo
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Michele Nardolillo
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Stefano Guarino
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Pierluigi Marzuillo
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | | | - Emanuele Miraglia del Giudice
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Anna Di Sessa
- Department of Woman, Child, and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples 80138, Italy
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Urine creatinine concentration influences the prognostic value of proteinuria for MACE prediction from the findings of the KNOW-CKD study. Sci Rep 2022; 12:15924. [PMID: 36151235 PMCID: PMC9508084 DOI: 10.1038/s41598-022-19819-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/05/2022] [Indexed: 12/02/2022] Open
Abstract
Proteinuria is typically quantified according to the spot urine protein–creatinine ratio (UPCR) and an association with cardiovascular events has not been thoroughly investigated in chronic kidney disease (CKD) patients. We investigated whether the severity of proteinuria assessed by spot UPCR is associated with an increased risk for cardiovascular outcomes in the CKD population, and whether the relationship is influenced by urine creatinine concentration. We analyzed 1746 patients enrolled as part of The KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD). Multivariable Cox proportional hazard analysis was performed to evaluate models with proteinuria as a predictor of renal events and extended major adverse cardiovascular events (eMACEs). Risk for renal events was significantly associated with proteinuria across all eGFR and UPCR categories. By contrast, risk for eMACEs increased significantly with UPCR in patients with eGFR ≥ 60 mL/min/1.73 m2 (hazard ratio [HR] 2.109; 95% confidence interval [CI] 1.375–3.235; P = 0.001), but not in patients with eGFR < 60 mL/min/1.73 m2 (HR 1.086; 95% CI 0.910–1.296; P = 0.358). However, in those with the lower eGFR, risk for eMACEs increased significantly with UPCR in participants with urine creatinine concentration ≥ 95 mg/dL (HR 1.503; 95% CI 1.047–2.159; P = 0.027). In non-dialysis CKD patients, the prognostic value of UPCR for eMACEs is weakened in patients with reduced eGFR levels, for whom it has prognostic significance only in patients with high urine creatinine concentration.
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11
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Fasting Proinsulin Independently Predicts Incident Type 2 Diabetes in the General Population. J Pers Med 2022; 12:jpm12071131. [PMID: 35887628 PMCID: PMC9323856 DOI: 10.3390/jpm12071131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 06/29/2022] [Accepted: 07/05/2022] [Indexed: 11/17/2022] Open
Abstract
Fasting proinsulin levels may serve as a marker of β-cell dysfunction and predict type 2 diabetes (T2D) development. Kidneys have been found to be a major site for the degradation of proinsulin. We aimed to evaluate the predictive value of proinsulin for the risk of incident T2D added to a base model of clinical predictors and examined potential effect modification by variables related to kidney function. Proinsulin was measured in plasma with U-PLEX platform using ELISA immunoassay. We included 5001 participants without T2D at baseline and during a median follow up of 7.2 years; 271 participants developed T2D. Higher levels of proinsulin were associated with increased risk of T2D independent of glucose, insulin, C-peptide, and other clinical factors (hazard ratio (HR): 1.28; per 1 SD increase 95% confidence interval (CI): 1.08–1.52). Harrell’s C-index for the Framingham offspring risk score was improved with the addition of proinsulin (p = 0.019). Furthermore, we found effect modification by hypertension (p = 0.019), eGFR (p = 0.020) and urinary albumin excretion (p = 0.034), consistent with an association only present in participants with hypertension or kidney dysfunction. Higher fasting proinsulin level is an independent predictor of incident T2D in the general population, particularly in participants with hypertension or kidney dysfunction.
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12
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Chang LH, Chu CH, Huang CC, Lin LY. Fibroblast Growth Factor 21 Levels Exhibit the Association With Renal Outcomes in Subjects With Type 2 Diabetes Mellitus. Front Endocrinol (Lausanne) 2022; 13:846018. [PMID: 35528011 PMCID: PMC9069677 DOI: 10.3389/fendo.2022.846018] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/23/2022] [Indexed: 11/13/2022] Open
Abstract
Background Whether microalbuminuria predicts renal outcomes in patients with type 2 diabetes mellitus (T2DM) is argued. Fibroblast growth factor 21 (FGF-21) levels were elevated by the pathogenic process of diabetic kidney disease. The purpose of the study was to evaluate the associations of FGF-21 and renal outcomes in subjects with T2DM. Methods Chinese patients with T2DM were enrolled and then observed prospectively, and FGF-21 levels at baseline were measured. The associations of FGF-21 levels and renal composite events, defined by a drop > 30% of eGFR or worsening category of albuminuria, were evaluated using Cox analysis. The appropriate cut-off value of FGF-21 was mapped by the receiver operating characteristic (ROC) curve. Results Among 312 subjects, higher FGF-21 levels were associated with higher risks of renal events in Cox analysis. The area under the curve of FGF-21 levels in the ROC curve was optimal (0.67, p < 0.001), and the cut-off value of 1.40 pg/dl exhibited the best sensitivity (76.2%) and specificity (53.5%). The frequency of renal composite events was higher in subjects with FGF-21 ≥ 1.40 pg/dl than in others (30% vs. 10%, p<0.001 by the log-rank test). The worse renal outcomes predicted by FGF-21 ≥ 1.40 pg/dl were confirmed using the adjustments of Cox sequential models (hazard ratio 2.28, 95% confidence interval 1.23-4.24, p=0.009) and consistent across subjects with different status of baseline characteristics and renal risks. Conclusion FGF-21 levels were proportional to the risks of renal events in broad- spectrum Chinese T2DM subjects, making it a potential biomarker to predict the renal outcomes of T2DM.
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Affiliation(s)
- Li-Hsin Chang
- Division of Endocrinology and Metabolism, Department of Medicine, Yeezen General Hospital, Taoyuan, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology, Hsinchu, Taiwan
| | - Chia-Huei Chu
- Department of Otorhinolaryngology-Head and Neck Surgery, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Audiology and Speech Language Pathology, Mackay Medical College, New Taipei City, Taiwan
| | - Chin-Chou Huang
- Division of Cardiology, Department of Medicine, Taipei, Taiwan
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Liang-Yu Lin
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei, Taiwan
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Gaeini Z, Bahadoran Z, Mirmiran P, Norouzirad R, Ghasemi A, Azizi F. Spot urinary microalbumin concentration, metabolic syndrome and type 2 diabetes: Tehran lipid and glucose study. BMC Endocr Disord 2022; 22:59. [PMID: 35260113 PMCID: PMC8905801 DOI: 10.1186/s12902-022-00976-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 02/28/2022] [Indexed: 11/30/2022] Open
Abstract
AIM This study aimed to determine the association of urinary microalbumin concentrations with type 2 diabetes mellitus (T2DM), metabolic syndrome (MetS), and its phenotypes. The optimum cut-off values of urinary microalbumin and microalbumin-to-creatinine ratio (MCR) for predicting the chance of having T2DM and MetS were also defined. METHODS Adult men and women (n = 1192) participated in the sixth phase (2014-2017) of the Tehran Lipid and Glucose Study (TLGS), with completed data, were included in the analyses. Odds ratios (ORs) (and 95% confidence intervals (CIs)) of T2DM, MetS, and its components across tertile categories of urinary microalbumin concentrations were estimated using multivariable logistic regressions. The optimal cut-off points of urinary microalbumin and MCR were determined using the receiver operator characteristic (ROC) curve analysis. RESULTS Participants' mean (±SD) age was 44.9 (±14.0) years, and 44.6% of the participants were men. The prevalence of microalbuminuria was 14.4%. Chance of having T2DM was significantly higher in the highest tertile of urinary microalbumin concentration (OR = 2.29, 95% CI = 1.43-3.67) and MCR (OR = 1.82, 95% CI = 1.15-2.89). Subjects with the highest urinary microalbumin concentration were more likely to have MetS (OR = 1.66, 95% CI = 1.17-2.35), hypertension (OR = 1.63, 95% CI = 1.16-2.30) and hyperglycemia (OR = 1.78, 95% CI = 1.24-2.56). No significant association was observed between urinary microalbumin concentrations and other components of MetS. The optimal cut-off points of urinary microalbumin for predicting the chance of having T2DM and MetS were 14.0 and 13.6 mg/L, respectively. CONCLUSIONS Elevated spot urinary microalbumin, below the values defined as microalbuminuria, was associated with the chance of having T2DM and MetS.
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Affiliation(s)
- Zahra Gaeini
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Sahid-Erabi St, Yemen St, Chamran Exp, P.O.Box: 19395-4763, Tehran, Iran
| | - Zahra Bahadoran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Sahid-Erabi St, Yemen St, Chamran Exp, P.O.Box: 19395-4763, Tehran, Iran.
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Sahid-Erabi St, Yemen St, Chamran Exp, P.O.Box: 19395-4763, Tehran, Iran
| | - Reza Norouzirad
- Department of Biochemistry, School of Paramedical Sciences, Dezful University of Medical Sciences, Dezful, Iran
| | - Asghar Ghasemi
- Endocrine Physiology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Yomthiangthae P, Chailapakul O, Siangproh W. Rapid urinary albumin detection using a simple redox cycling process coupled with a paper-based device. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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15
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Ärnlöv J, Nowak C. Association between albuminuria, incident cardiovascular events, and mortality in persons without hypertension, diabetes, and cardiovascular disease. Eur J Prev Cardiol 2022; 29:e4-e6. [DOI: 10.1093/eurjpc/zwaa095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/08/2020] [Accepted: 09/22/2020] [Indexed: 11/14/2022]
Affiliation(s)
- Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Alfred Nobels Allé 23, SE-14183 Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Högskolegatan 2, SE-79131 Falun, Sweden
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Alfred Nobels Allé 23, SE-14183 Huddinge, Sweden
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16
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Norvik JV, Harskamp LR, Nair V, Shedden K, Solbu MD, Eriksen BO, Kretzler M, Gansevoort RT, Ju W, Melsom T. Urinary excretion of epidermal growth factor and rapid loss of kidney function. Nephrol Dial Transplant 2021; 36:1882-1892. [PMID: 33068410 PMCID: PMC8633454 DOI: 10.1093/ndt/gfaa208] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND Lower urinary excretion of the kidney tubule-specific biomarker epidermal growth factor (uEGF) is associated with increased risk of renal function [glomerular filtration rate (GFR)] loss in diabetes and in patients with established chronic kidney disease (CKD). We investigated whether uEGF is associated with rapid GFR decline or incident CKD in the general population. METHODS Subjects without CKD or diabetes were recruited from the general population in Tromso, Norway [Renal Iohexol Clearance Survey (RENIS); N = 1249] and Groningen, the Netherlands [Prevention of REnal and Vascular END-stage disease (PREVEND); N = 4534], with a median follow-up of 5.6 and 7.4 years, respectively. GFR was measured by iohexol clearance in the RENIS and estimated using the CKD Epidemiology Collaboration creatinine-cystatin C equation in the PREVEND study. Rapid GFR decline was defined as an annual GFR loss >3.0 mL/min/1.73 m2 and in sensitivity analyses as subjects with the 10% steepest GFR slope within each cohort. RESULTS Lower baseline uEGF excretion was associated with rapid GFR loss in both cohorts {RENIS, odds ratio [OR] per 1 μg/mmol lower uEGF 1.42 [95% confidence interval (CI) 1.06-1.91], P = 0.02; PREVEND, OR 1.29 [95% CI 1.10-1.53], P < 0.01}, adjusted for baseline GFR, albumin:creatinine ratio and conventional CKD risk factors. Similar results were obtained using the outcome of the 10% steepest GFR slope in each cohort. Lower uEGF levels were associated with incident CKD in the combined analysis of both cohorts. CONCLUSIONS Lower uEGF levels are associated with increased risk of rapid GFR loss and incident CKD in the general population. This finding, together with previous findings in CKD and high-risk populations, supports that uEGF may serve as a broadly applicable biomarker representing the tubular component of the current glomerulus-centric clinical risk assessment system.
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Affiliation(s)
- Jon Viljar Norvik
- Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
| | - Laura R Harskamp
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Viji Nair
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Kerby Shedden
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
| | - Marit D Solbu
- Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
| | - Bjørn O Eriksen
- Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
| | - Matthias Kretzler
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Wenjun Ju
- Department of Internal Medicine/Nephrology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Toralf Melsom
- Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway
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Triglyceride-rich lipoprotein and LDL particle subfractions and their association with incident type 2 diabetes: the PREVEND study. Cardiovasc Diabetol 2021; 20:156. [PMID: 34321006 PMCID: PMC8320057 DOI: 10.1186/s12933-021-01348-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/20/2021] [Indexed: 12/29/2022] Open
Abstract
Background Triglyceride-rich lipoproteins particles (TRLP) and low density lipoprotein particles (LDLP) vary in size. Their association with β-cell function is not well described. We determined associations of TRLP and LDLP subfractions with β-cell function, estimated as HOMA-β, and evaluated their associations with incident T2D in the general population. Methods We included 4818 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline. TRLP and LDLP subfraction concentrations and their average sizes were measured using the LP4 algorithm of the Vantera nuclear magnetic resonance platform. HOMA-IR was used as measure of insulin resistance. HOMA-β was used as a proxy of β-cell function. Results In subjects without T2D at baseline, very large TRLP, and LDL size were inversely associated with HOMA-β, whereas large TRLP were positively associated with HOMA-β when taking account of HOMA-IR. During a median follow-up of 7.3 years, 263 participants developed T2D. In multivariable-adjusted Cox regression models, higher concentrations of total, very large, large, and very small TRLP (reflecting remnants lipoproteins) and greater TRL size were associated with an increased T2D risk after adjustment for relevant covariates, including age, sex, BMI, HDL-C, HOMA-β, and HOMA-IR. On the contrary, higher concentrations of large LDLP and greater LDL size were associated with a lower risk of developing T2D. Conclusions Specific TRL and LDL particle characteristics are associated with β-cell function taking account of HOMA-IR. Moreover, TRL and LDL particle characteristics are differently associated with incident T2D, even when taking account of HOMA-β and HOMA-IR. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01348-w.
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Çoner A, Akbay E, Akıncı S, Özyıldız G, Gençtoy G, Müderrisoğlu H. Determinants of reverse dipping blood pressure in normotensive, non-diabetic population with an office measurement below 130/85mmHg. Clin Exp Hypertens 2021; 43:647-652. [PMID: 34151642 DOI: 10.1080/10641963.2021.1925685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objective: The role of dipping blood pressure pattern in normotensives is unclear. The study aims to search the circadian blood pressure rhythm and the clinical determinants related to reverse dipping pattern in a strictly selected, normotensive population.Methods: The study population was divided into three groups depending on the nocturnal dipping pattern as dipping, non-dipping, and reverse dipping. Basal clinical characteristics, anthropometric measurements, and spot urine samples from the first-morning void were collected. Clinical determinants related to the presence of reverse dipping pattern were tested by the Multiple Binary Logistic Regression analysis.Results: A total of 233 participants were involved in the study population (median age 45 years [40-50]). Dipping pattern was detected in 55.4%, non-dipping pattern in 33.0%, and reverse dipping pattern in 11.6% of the study population. There was no difference between the groups in terms of basal clinical features. Albumin-to-creatinine ratio (ACR) (p < .001) and hs-CRP levels (p = .006) were also statistically significant across the groups. ACR (HR: 1.195, 95% CI: 1.067-1.338, p = .002) and hs-CRP (HR: 2.438, 95% CI: 1.023-5.808, p = .044) were found to be related to the presence of reverse dipping blood pressure pattern.Conclusions: The absence of nocturnal physiological dipping is seen at a remarkable rate in the normotensive Turkish population. ACR and hs-CRP are the clinical determinants related to the presence of reverse dipping blood pressure pattern.
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Affiliation(s)
- Ali Çoner
- Department of Cardiology, Baskent University Hospital Alanya Application and Research Center, Alanya/Antalya, Turkey
| | - Ertan Akbay
- Department of Cardiology, Baskent University Hospital Alanya Application and Research Center, Alanya/Antalya, Turkey
| | - Sinan Akıncı
- Department of Cardiology, Baskent University Hospital Alanya Application and Research Center, Alanya/Antalya, Turkey
| | - Gökhan Özyıldız
- Department of Cardiology, Recep Tayyip Erdogan University Training and Research Hospital, Rize, Turkey
| | - Gültekin Gençtoy
- Department of Nephrology, Baskent University Hospital Alanya Application and Research Center, Alanya/Antalya, Turkey
| | - Haldun Müderrisoğlu
- Department of Cardiology, Baskent University Faculty of Medicine, Ankara, Turkey
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Lee SY, Lee HY, Ciou DS, Liao ZX, Huang PW, Hsieh YT, Wei YC, Lin CY, Shieh MD, Chen JY. A Portable Wireless Urine Detection System With Power-Efficient Electrochemical Readout ASIC and ABTS-CNT Biosensor for UACR Detection. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2021; 15:537-548. [PMID: 34101596 DOI: 10.1109/tbcas.2021.3087475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This work presents a portable wireless urine detection system which consists of an electrochemical readout application specific integrated circuit (ASIC) and a biosensor composed of 2, 2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) and carbon nanotube (ABTS-CNT) for the detection of urine albumin-to-creatinine ratio (UACR). The ASIC includes a potentiostat, a digital circuitry and a power management circuit which can perform electrochemistry techniques with a dual-channel screen-printing carbon electrode (SPCE). Electrochemical experiments on the proposed biosensor (SPCE|ABTS-CNT|Nafion) have revealed promising sensing characteristics for creatinine and human serum albumin detection. Practical urine tests has demonstrated the capability of the proposed urine detection system for UACR detection with both the power-efficient readout ASIC and the ABTS-CNT biosensor. A user-friendly prototype has also been designed which can be useful for either personal health administrationor homecare.
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Kunutsor SK, Kremer D, Eisenga MF, Gruppen EG, de Borst MH, Muller Kobold AC, Kootstra-Ros JE, Dullaart RPF, Bakker SJL. Self-reported alcohol consumption, carbohydrate deficient transferrin and risk of cardiovascular disease: The PREVEND prospective cohort study. Clin Chim Acta 2021; 520:1-7. [PMID: 34048731 DOI: 10.1016/j.cca.2021.05.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/24/2021] [Accepted: 05/24/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Self-reported alcohol consumption is an established risk factor for cardiovascular disease (CVD). Carbohydrate deficient transferrin (CDT) is an established objective marker of excessive alcohol consumption, but data on its prospective association with CVD are lacking. We aimed to evaluate the associations of self-reported alcohol consumption and CDT (expressed as %CDT, a more reliable marker than absolute CDT levels) with CVD risk. MATERIALS AND METHODS In the PREVEND prospective study of 5,206 participants (mean age, 53 years; 47.7% males), alcohol consumption by self-reports, absolute CDT measured using the Siemens nephelometric assay and %CDT calculated as the percentage of total transferrin concentrations, were assessed at baseline. Alcohol consumption was classified into 5 categories: abstention (reference), light, light-moderate, moderate and heavy alcohol consumption.Hazard ratios (HRs) (95% confidence intervals [CI]) for first CVD events were estimated. RESULTS Mean (SD) of %CDT was 1.59 (0.54) %. During a median follow-up of 8.3 years, 326 first CVD events were recorded. Compared with abstainers, the multivariable-adjusted HRs (95% CIs) of CVD for light, light-moderate, moderate and heavy alcohol consumption were 0.66 (0.46-0.95), 0.83 (0.62-1.11), 0.83 (0.61-1.14) and 0.80 (0.48-1.36), respectively. Light alcohol consumption was associated with reduced coronary heart disease risk 0.62 (0.40-0.96), whereas light-moderate alcohol consumption was associated with reduced stroke risk 0.45 (0.24-0.83). The association of %CDT with CVD risk was not significant. CONCLUSIONS Our findings confirm the established association between self-reported light to moderate alcohol consumption and reduced CVD risk. However, %CDT within the normal reference range may not be a risk indicator for CVD.
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Affiliation(s)
- Setor K Kunutsor
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK; Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Learning & Research Building (Level 1), Southmead Hospital, Bristol BS10 5NB, UK.
| | - Daan Kremer
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Michele F Eisenga
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Eke G Gruppen
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Martin H de Borst
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Anneke C Muller Kobold
- Department of Laboratory Medicine, University of Groningen and University Medical Center, Groningen, the Netherlands
| | - Jenny E Kootstra-Ros
- Department of Laboratory Medicine, University of Groningen and University Medical Center, Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
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Sokooti S, Flores-Guerrero JL, Kieneker LM, Heerspink HJL, Connelly MA, Bakker SJL, Dullaart RPF. HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study. J Clin Endocrinol Metab 2021; 106:1761-1772. [PMID: 33567068 PMCID: PMC8118359 DOI: 10.1210/clinem/dgab075] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 12/29/2022]
Abstract
CONTEXT High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies. OBJECTIVE We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population. METHODS Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform). RESULTS A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2. CONCLUSION Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.
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Affiliation(s)
- Sara Sokooti
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
- Correspondence: Sara Sokooti Oskooei, MD, Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, PO Box 30.001, 9713 GZ Groningen, Netherlands.
| | - Jose L Flores-Guerrero
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Lyanne M Kieneker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Margery A Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Morrisville, NC, USA
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
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22
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Heidemann BE, Wolters FJ, Kavousi M, Gruppen EG, Dullaart RP, Marais AD, Visseren FL, Koopal C. Adiposity and the development of dyslipidemia in APOE ε2 homozygous subjects: A longitudinal analysis in two population-based cohorts. Atherosclerosis 2021; 325:57-62. [PMID: 33892328 DOI: 10.1016/j.atherosclerosis.2021.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/19/2021] [Accepted: 04/01/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIMS Familial dysbetalipoproteinemia (FD), characterized by remnant lipoprotein accumulation and premature cardiovascular disease, occurs in homozygous carriers of the APOE ε2 allele, but genetic predisposition alone does not suffice for the clinical phenotype. Cross-sectional studies suggest that a second metabolic hit - notably adiposity or insulin resistance - is required, but the association between these risk factors and development of FD has not been studied prospectively. METHODS For this study, we evaluated 18,987 subjects from two large prospective Dutch population-based cohorts (PREVEND and Rotterdam Study) of whom 118 were homozygous APOE ε2 carriers. Of these, 69 subjects were available for prospective analyses. Dyslipidemia - likely to be FD - was defined as fasting triglyceride (TG) levels >3 mmol/L in untreated subjects or use of lipid lowering medication. The effect of weight, body mass index (BMI), waist circumference, type 2 diabetes mellitus and non-TG metabolic syndrome on development of dyslipidemia was investigated. RESULTS Eleven of the 69 ε2ε2 subjects (16%) developed dyslipidemia - likely FD - during follow-up. Age-, sex- and cohort-adjusted risk factors for the development of FD were BMI (OR 1.19; 95%CI 1.04-1.39), waist circumference (OR 1.26 95%CI 1.01-1.61) and presence of non-TG metabolic syndrome (OR 4.39; 95%CI 1.04-18.4) at baseline. Change in adiposity during follow-up was not associated with development of dyslipidemia. CONCLUSIONS Adiposity increases the risk of developing an FD-like lipid phenotype in homozygous APOE ε2 subjects. These results stress the importance of healthy body weight in subjects at risk of developing FD.
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Affiliation(s)
- Britt E Heidemann
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Frank J Wolters
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eke G Gruppen
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, University of Groningen, the Netherlands
| | - Robin Pf Dullaart
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, University of Groningen, the Netherlands
| | - A David Marais
- Division of Chemical Pathology, Faculty of Health Sciences, University of Cape Town, South Africa, Cape Town, South Africa
| | - Frank Lj Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, the Netherlands.
| | - Charlotte Koopal
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, the Netherlands
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23
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Polydopamine-based quantitation of albuminuria for the assessment of kidney damage. Anal Bioanal Chem 2021; 413:2217-2224. [PMID: 33543313 DOI: 10.1007/s00216-021-03192-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 01/07/2021] [Accepted: 01/22/2021] [Indexed: 12/13/2022]
Abstract
Proteinuria is considered indicative of kidney damage that can be related to various adverse outcomes. Nowadays, there is a huge demand for routine urine screening methods to assess health risks in clinical setting without expensive procedures and long pretreatment of the sample. To address this issue, a polydopamine-based colorimetric assay to determine urinary albumin concentration in real samples is proposed here. The core of this approach relies on the established competitive adsorption of polydopamine film and human serum albumin onto the polystyrene surface of ELISA plates. Herein, we investigated the influence of temperature and the Tris-HCl buffer concentration on the polydopamine film growth. The absorbance of polydopamine film, after 24 h at 25 °C, decreases with the increase of HSA concentration, allowing the selective detection of HSA down to 0.036 ± 0.001 g L-1 in untreated urine. This simple and low-cost bioanalytical assay exhibited very good reproducibility, %CVmean = 2 in human urine, and was superior in terms of analytical performances to some standard methods available on the market, especially in comparison to the Bradford assay, for early screening and assessment of kidney damage.
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24
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Sokooti S, Kieneker LM, de Borst MH, Muller Kobold A, Kootstra-Ros JE, Gloerich J, van Gool AJ, Heerspink HJL, T Gansevoort R, Dullaart RP, Bakker SJL. Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population. J Clin Med 2020; 9:E3001. [PMID: 32957570 PMCID: PMC7564789 DOI: 10.3390/jcm9093001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/08/2020] [Accepted: 09/15/2020] [Indexed: 12/11/2022] Open
Abstract
C-peptide measurement may represent a better index of pancreatic β-cell function compared to insulin. While insulin is mainly cleared by liver, C-peptide is mainly metabolized by kidneys. The aim of our study was to evaluate the association between baseline plasma C-peptide level and the development of type 2 diabetes independent of glucose and insulin levels and to examine potential effect-modification by variables related to kidney function. We included 5176 subjects of the Prevention of Renal and Vascular End-Stage Disease study without type 2 diabetes at baseline. C-peptide was measured in plasma with an electrochemiluminescent immunoassay. Cox proportional hazards regression was used to evaluate the association between C-peptide level and type 2 diabetes development. Median C-peptide was 722 (566-935) pmol/L. During a median follow-up of 7.2 (6.0-7.7) years, 289 individuals developed type 2 diabetes. In multivariable-adjusted Cox regression models, we observed a significant positive association of C-peptide with the risk of type 2 diabetes independent of glucose and insulin levels (hazard ratio (HR): 2.35; 95% confidence interval (CI): 1.49-3.70). Moreover, we found significant effect modification by hypertension and albuminuria (p < 0.001 and p = 0.001 for interaction, respectively), with a stronger association in normotensive and normo-albuminuric subjects and absence of an association in subjects with hypertension or albuminuria. In this population-based cohort, elevated C-peptide levels are associated with an increased risk of type 2 diabetes independent of glucose, insulin levels, and clinical risk factors. Elevated C-peptide level was not independently associated with an increased risk of type 2 diabetes in individuals with hypertension or albuminuria.
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Affiliation(s)
- Sara Sokooti
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
| | - Lyanne M. Kieneker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
| | - Martin H. de Borst
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
| | - Anneke Muller Kobold
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (A.M.K.); (J.E.K.-R.)
| | - Jenny E. Kootstra-Ros
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (A.M.K.); (J.E.K.-R.)
| | - Jolein Gloerich
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (J.G.); (A.J.v.G.)
| | - Alain J. van Gool
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (J.G.); (A.J.v.G.)
| | - Hiddo J. Lambers Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
| | - Robin P.F. Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
| | - Stephan J. L. Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.M.K.); (M.H.d.B.); (R.T.G.); (R.P.F.D.); (S.J.L.B.)
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25
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Szwarcbard N, Villani M, Earnest A, Flack J, Andrikopoulos S, Wischer N, Soldatos G, Gasevic D, Zoungas S. The association of smoking status with glycemic control, metabolic profile and diabetic complications- Results of the Australian National Diabetes Audit (ANDA). J Diabetes Complications 2020; 34:107626. [PMID: 32527672 DOI: 10.1016/j.jdiacomp.2020.107626] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 05/13/2020] [Accepted: 05/13/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Tobacco smoking and diabetes mellitus contribute significantly to the overall health burden and mortality of Australians. We aimed to assess the relationship of smoking with glycemic control, metabolic profile and complications in Australian patients living with diabetes. METHODS We analysed the 2011-2017 biennial Australian National Diabetes Audit cross-sectional data. Patients were classified as current, past or never smokers. Linear (or quantile) and logistic regression models were used to assess for associations. RESULTS Data from 15,352 patients were analysed, including 72.2% with type 2 diabetes. Current smokers comprised 13.5% of the study population. Current and past smokers had a median HbA1c that was 0.49% and 0.14% higher than never smokers, respectively, as well as higher triglyceride and lower HDL levels (all p values < .0001). Compared to never smokers, current smokers had higher odds of severe hypoglycemia and current and past smokers had higher odds of myocardial infarction, stroke, peripheral vascular disease, lower limb amputation, erectile dysfunction and peripheral neuropathy (all p values ≤.001), with no significant change over time. CONCLUSION When compared to never smokers, current and past smokers had poorer glycemic and lipid control and higher odds of macrovascular and microvascular complications. Despite this, current smoking remains prevalent among Australians with diabetes.
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Affiliation(s)
- N Szwarcbard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - M Villani
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Research and Evaluation, Ambulance Victoria, Blackburn, VIC 3130, Australia
| | - A Earnest
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - J Flack
- Department of Diabetes and Endocrinology, Bankstown-Lidcombe Hospital, Bankstown, NSW 2200, Australia; Faculty of Medicine, University of New South Wales, Sydney, NSW,Australia; School of Medicine, Western Sydney University, Sydney, NSW,Australia
| | - S Andrikopoulos
- Department of Medicine, University of Melbourne, Parkville, VIC 3010, Australia; Australian Diabetes Society, Sydney, NSW 2000, Australia
| | - N Wischer
- National Association of Diabetes Centres, Sydney, NSW, 2000, Australia
| | - G Soldatos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Clayton, VIC,Australia, 3168
| | - D Gasevic
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, United Kingdom
| | - S Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Clayton, VIC,Australia, 3168.
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26
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A Newly Developed Diabetes Risk Index, Based on Lipoprotein Subfractions and Branched Chain Amino Acids, is Associated with Incident Type 2 Diabetes Mellitus in the PREVEND Cohort. J Clin Med 2020; 9:jcm9092781. [PMID: 32867285 PMCID: PMC7563197 DOI: 10.3390/jcm9092781] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/12/2020] [Accepted: 08/23/2020] [Indexed: 12/15/2022] Open
Abstract
Objective: Evaluate the ability of a newly developed diabetes risk score, the Diabetes Risk Index (DRI), to predict incident type 2 diabetes mellitus (T2D) in a large adult population. Methods: The DRI was developed by combining the Lipoprotein Insulin Resistance Index (LP-IR), calculated from 6 lipoprotein subspecies and size parameters, and the branched chain amino acids, valine and leucine, all of which have been shown previously to be associated with future T2D. DRI scores were calculated in a total of 6134 nondiabetic men and women in the Prevention of Renal and Vascular End-Stage Disease (PREVEND) Study. Cox proportional hazards regression was used to evaluate the association of DRI scores with incident T2D. Results: During a median follow-up of 8.5 years, 306 new T2D cases were ascertained. In analyses adjusted for age and sex, there was a significant association between DRI scores and incident T2D with the hazard ratio (HR) for the highest versus lowest quartile being 12.07 (95% confidence interval: 6.97–20.89, p < 0.001). After additional adjustment for body mass index (BMI), family history of T2D, alcohol consumption, diastolic blood pressure, total cholesterol, triglycerides, HDL cholesterol and HOMA-IR, the HR was attenuated but remained significant (HR 3.20 (1.73–5.95), p = 0.001). Similar results were obtained when DRI was analyzed as HR per 1 SD increase (HR 1.37 (1.14–1.65), p < 0.001). The Kaplan–Meier plot demonstrated that patients in the highest quartile of DRI scores presented at higher risk (p-value for log-rank test <0.001). Conclusions: Higher DRI scores are associated with an increased risk of T2D. The association is independent of clinical risk factors for T2D including HOMA-IR, BMI and conventional lipids.
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27
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Naser AM, Rahman M, Unicomb L, Doza S, Gazi MS, Alam GR, Karim MR, Uddin MN, Khan GK, Ahmed KM, Shamsudduha M, Anand S, Narayan KMV, Chang HH, Luby SP, Gribble MO, Clasen TF. Drinking Water Salinity, Urinary Macro-Mineral Excretions, and Blood Pressure in the Southwest Coastal Population of Bangladesh. J Am Heart Assoc 2020; 8:e012007. [PMID: 31060415 PMCID: PMC6512114 DOI: 10.1161/jaha.119.012007] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Sodium (Na+) in saline water may increase blood pressure (BP), but potassium (K+), calcium (Ca2+), and magnesium (Mg2+) may lower BP. We assessed the association between drinking water salinity and population BP. Methods and Results We pooled 6487 BP measurements from 2 cohorts in coastal Bangladesh. We used multilevel linear models to estimate BP differences across water salinity categories: fresh water (electrical conductivity, <0.7 mS/cm), mild salinity (electrical conductivity ≥0.7 and <2 mS/cm), and moderate salinity (electrical conductivity ≥2 and <10 mS/cm). We assessed whether salinity categories were associated with hypertension using multilevel multinomial logistic models. Models included participant‐, household‐, and community‐level random intercepts. Models were adjusted for age, sex, body mass index (BMI), physical activity, smoking, household wealth, alcohol consumption, sleep hours, religion, and salt consumption. We evaluated the 24‐hour urinary minerals across salinity categories, and the associations between urinary minerals and BP using multilevel linear models. Compared with fresh water drinkers, mild‐salinity water drinkers had lower mean systolic BP (−1.55 [95% CI: −3.22–0.12] mm Hg) and lower mean diastolic BP (−1.26 [95% CI: −2.21–−0.32] mm Hg) adjusted models. The adjusted odds ratio among mild‐salinity water drinkers for stage 1 hypertension was 0.60 (95% CI: 0.43–0.84) and for stage 2 hypertension was 0.56 (95% CI: 0.46–0.89). Mild‐salinity water drinkers had high urinary Ca2+, and Mg2+, and both urinary Ca2+ and Mg2+ were associated with lower BP. Conclusions Drinking mild‐salinity water was associated with lower BP, which can be explained by higher intake of Ca2+ and Mg2+ through saline water. See Editorial Bispham and Nowak
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Affiliation(s)
- Abu Mohd Naser
- 1 Emory Global Diabetes Research Center Hubert Department of Global Health Rollins School of Public Health Emory University Atlanta GA.,2 Department of Environmental Health Sciences Rollins School of Public Health Emory University Atlanta GA
| | - Mahbubur Rahman
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Leanne Unicomb
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Solaiman Doza
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Mohammed Shahid Gazi
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Gazi Raisul Alam
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Mohammed Rabiul Karim
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Mohammad Nasir Uddin
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | - Golam Kibria Khan
- 3 International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Dhaka Bangladesh
| | | | - Mohammad Shamsudduha
- 5 Institute for Risk and Disaster Reduction University College London London United Kingdom
| | - Shuchi Anand
- 6 Division of Nephrology School of Medicine Stanford University Stanford CA
| | - K M Venkat Narayan
- 1 Emory Global Diabetes Research Center Hubert Department of Global Health Rollins School of Public Health Emory University Atlanta GA
| | - Howard H Chang
- 7 Department of Biostatistics and Bioinformatics Rollins School of Public Health Emory University Atlanta GA
| | - Stephen P Luby
- 8 Woods Institute for the Environment Stanford University Stanford CA
| | - Matthew O Gribble
- 2 Department of Environmental Health Sciences Rollins School of Public Health Emory University Atlanta GA.,9 Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA
| | - Thomas F Clasen
- 2 Department of Environmental Health Sciences Rollins School of Public Health Emory University Atlanta GA
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28
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van Eersel MEA, Joosten H, Gansevoort RT, Slaets JPJ, Izaks GJ. Treatable Vascular Risk and Cognitive Performance in Persons Aged 35 Years or Older: Longitudinal Study of Six Years. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2020; 6:42-49. [PMID: 30569085 PMCID: PMC6515561 DOI: 10.14283/jpad.2018.47] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Poor cognitive performance is associated with high vascular risk. However,
this association is only investigated in elderly. As neuropathological changes
precede clinical symptoms of cognitive impairment by several decades, it is likely
that cognitive performance is already associated with vascular risk at
middle-age. Objectives To investigate the association of cognitive performance with treatable
vascular risk in middle-aged and old persons. Design Longitudinal study with three measurements during follow-up period of 5.5
years. Setting City of Groningen, the Netherlands. Participants Cohort of 3,572 participants (age range, 35–82 years; mean age, 54 years; men,
52%). Exposure Treatable vascular risk as defined by treatable components of the Framingham
Risk Score for Cardiovascular Disease at the first measurement (diabetes mellitus,
smoking, hypercholesterolemia and hypertension). Measurements Change in cognitive performance during follow-up. Cognitive performance was
measured with Ruff Figural Fluency Test (RFFT) and Visual Association Test (VAT),
and calculated as the average of the standardized RFFT and VAT score per
participant. Results The mean (SD) cognitive performance changed from 0.00 (0.79) at the first
measurement to 0.15 (0.83) at second measurement and to 0.39 (0.82) at the third
measurement (Ptrend<0.001). This change was negatively associated with
treatable vascular risk: the change in cognitive performance between two
measurements decreased with 0.004 per one-point increment of treatable vascular
risk (95%CI, -0.008 to 0.000; P=0.05) and with 0.006 per one-year increment of age
(95%CI, -0.008 to -0.004; P<0.001). Conclusions Change in cognitive performance was associated with treatable vascular risk in
persons aged 35 years or older. Electronic Supplementary Material Supplementary material is available for this article at 10.14283/jpad.2018.47 and is accessible for authorized users.
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Affiliation(s)
- M E A van Eersel
- Marlise E.A. van Eersel (MEAE), University Center for Geriatric Medicine, University Medical Center Groningen, Internal Postcode: AA41, PO Box 30.001, 9700 RB Groningen, The Netherlands, Phone: 0031(0)50 361 39 21, Fax: 0031(0)50 361 90 69,
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Singh K, Chandra A, Sperry T, Joshi PH, Khera A, Virani SS, Ballantyne CM, Otvos JD, Dullaart RPF, Gruppen EG, Connelly MA, Ayers CR, Rohatgi A. Associations Between High-Density Lipoprotein Particles and Ischemic Events by Vascular Domain, Sex, and Ethnicity: A Pooled Cohort Analysis. Circulation 2020; 142:657-669. [PMID: 32804568 PMCID: PMC7425196 DOI: 10.1161/circulationaha.120.045713] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Supplemental Digital Content is available in the text. Background: High-density lipoprotein (HDL) cholesterol concentration (HDL-C) is an established atheroprotective marker, in particular for coronary artery disease; however, HDL particle concentration (HDL-P) may better predict risk. The associations of HDL-C and HDL-P with ischemic stroke and myocardial infarction (MI) among women and Blacks have not been well studied. We hypothesized that HDL-P would consistently be associated with MI and stroke among women and Blacks compared with HDL-C. Methods: We analyzed individual-level participant data in a pooled cohort of 4 large population studies without baseline atherosclerotic cardiovascular disease: DHS (Dallas Heart Study; n=2535), ARIC (Atherosclerosis Risk in Communities; n=1595), MESA (Multi-Ethnic Study of Atherosclerosis; n=6632), and PREVEND (Prevention of Renal and Vascular Endstage Disease; n=5022). HDL markers were analyzed in adjusted Cox proportional hazard models for MI and ischemic stroke. Results: In the overall population (n=15 784), HDL-P was inversely associated with the combined outcome of MI and ischemic stroke, adjusted for cardiometabolic risk factors (hazard ratio [HR] for quartile 4 [Q4] versus quartile 1 [Q1], 0.64 [95% CI, 0.52–0.78]), as was HDL-C (HR for Q4 versus Q1, 0.76 [95% CI, 0.61–0.94]). Adjustment for HDL-C did not attenuate the inverse relationship between HDL-P and atherosclerotic cardiovascular disease, whereas adjustment for HDL-P attenuated all associations between HDL-C and events. HDL-P was inversely associated with the individual end points of MI and ischemic stroke in the overall population, including in women. HDL-P was inversely associated with MI among White participants but not among Black participants (HR for Q4 versus Q1 for Whites, 0.49 [95% CI, 0.35–0.69]; for Blacks, 1.22 [95% CI, 0.76–1.98]; Pinteraction=0.001). Similarly, HDL-C was inversely associated with MI among White participants (HR for Q4 versus Q1, 0.53 [95% CI, 0.36–0.78]) but had a weak direct association with MI among Black participants (HR for Q4 versus Q1, 1.75 [95% CI, 1.08–2.83]; Pinteraction<0.0001). Conclusions: Compared with HDL-C, HDL-P was consistently associated with MI and ischemic stroke in the overall population. Differential associations of both HDL-C and HDL-P for MI by Black ethnicity suggest that atherosclerotic cardiovascular disease risk may differ by vascular domain and ethnicity. Future studies should examine individual outcomes separately.
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Affiliation(s)
- Kavisha Singh
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Alvin Chandra
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Thomas Sperry
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Parag H Joshi
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Amit Khera
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX (S.S.V.)
| | | | - James D Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC (J.D.O., M.A.C.)
| | - Robin P F Dullaart
- University of Groningen and University Medical Center Groningen, The Netherlands (R.P.F.D., E.G.G.)
| | - Eke G Gruppen
- University of Groningen and University Medical Center Groningen, The Netherlands (R.P.F.D., E.G.G.)
| | - Margery A Connelly
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC (J.D.O., M.A.C.)
| | - Colby R Ayers
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
| | - Anand Rohatgi
- University of Texas Southwestern Medical Center, Dallas (K.S., A.C., T.S., P.H.J., A.K., C.R.A., A.R.)
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van Eersel MEA, Visser ST, Joosten H, Gansevoort RT, Slaets JPJ, Izaks GJ. Pharmacological treatment of increased vascular risk and cognitive performance in middle-aged and old persons: six-year observational longitudinal study. BMC Neurol 2020; 20:242. [PMID: 32532237 PMCID: PMC7291556 DOI: 10.1186/s12883-020-01822-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 06/04/2020] [Indexed: 11/24/2022] Open
Abstract
Background Lowering vascular risk is associated with a decrease in the prevalence of cardiovascular disease and dementia. However, it is still unknown whether lowering of vascular risk with pharmacological treatment preserves cognitive performance in general. Therefore, we compared the change in cognitive performance in persons with and without treatment of vascular risk factors. Methods In this longitudinal observational study, 256 persons (mean age, 58 years) were treated for increased vascular risk during a mean follow-up period of 5.5 years (treatment group), whereas 1678 persons (mean age, 50 years) did not receive treatment (control group). Cognitive performance was three times measured during follow-up using the Ruff Figural Fluency Test (RFFT) and Visual Association Test (VAT), and calculated as the average of standardized RFFT and VAT score per participant. Because treatment allocation was nonrandomized, additional analyses were performed in demographic and vascular risk-matched samples and adjusted for propensity scores. Results In the treatment group, mean (SD) cognitive performance changed from − 0.30 (0.80) to − 0.23 (0.80) to 0.02 (0.87), and in control group, from 0.08 (0.77) to 0.24 (0.79) to 0.49 (0.74) at the first, second and third measurement, respectively (ptrend < 0.001). After adjustment for demographics and vascular risk, the change in cognitive performance during follow-up was not statistically significantly different between the treatment and control group: mean estimated difference, − 0.10 (95%CI − 0.21 to 0.01; p = 0.08). Similar results were found in matched samples and after adjustment for propensity score. Conclusion Change in cognitive performance during follow-up was similar in treated and untreated persons. This suggests that lowering vascular risk preserves cognitive performance.
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Affiliation(s)
- Marlise E A van Eersel
- University Center for Geriatric Medicine, University of Groningen, University Medical Center Groningen, AA41, PO Box 30.001, 9700, RB, Groningen, The Netherlands.
| | - Sipke T Visser
- Department of Pharmacy, PharmacoTherapy, -Epidemiology and -Economics (PTE2), University of Groningen, Groningen, the Netherlands
| | - Hanneke Joosten
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Ron T Gansevoort
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joris P J Slaets
- University Center for Geriatric Medicine, University of Groningen, University Medical Center Groningen, AA41, PO Box 30.001, 9700, RB, Groningen, The Netherlands
| | - Gerbrand J Izaks
- University Center for Geriatric Medicine, University of Groningen, University Medical Center Groningen, AA41, PO Box 30.001, 9700, RB, Groningen, The Netherlands
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Gruppen EG, Kootstra-Ros J, Kobold AM, Connelly MA, Touw D, Bos JHJ, Hak E, Links TP, Bakker SJL, Dullaart RPF. Cigarette smoking is associated with higher thyroid hormone and lower TSH levels: the PREVEND study. Endocrine 2020; 67:613-622. [PMID: 31707605 PMCID: PMC7054375 DOI: 10.1007/s12020-019-02125-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 10/26/2019] [Indexed: 12/21/2022]
Abstract
PURPOSE The extent to which smoking is associated with thyroid stimulating hormone (TSH), free thyroxine (FT4), and free triiodothyronine (FT3) when taking account of clinical variables including alcohol consumption is unclear. We aimed to determine associations of TSH, FT4, and FT3 levels with current smoking. METHODS A cross-sectional study was performed in 5766 euthyroid participants (Prevention of Renal and Vascular End-Stage Disease cohort). Current smoking was determined by self-report, categorized as never, former, and current (≤20 and >20 cigarettes per day). Smoke exposure was determined by urinary cotinine. RESULTS Current smoking of ≤20 and >20 cigarettes per day was associated with lower TSH and higher FT3 levels. FT4 levels were higher in subjects smoking <20 cigarettes per day vs. never and former smokers. Current smokers also consumed more alcohol. Multivariable linear regression analyses adjusted for age, sex, anti-TPO autoantibody positivity, alcohol consumption, and other variables demonstrated that lower TSH, higher FT4 and higher FT3 were associated with smoking ≤20 cigarettes per day vs. subjects who never smoked (P < 0.001, P = 0.018, and P < 0.001, respectively) without a further significant incremental effect of smoking >20 cigarettes per day. In agreement, TSH was inversely, whereas FT4 and FT3 levels were positively associated with urinary cotinine (P < 0.001 for each). In contrast, alcohol consumption >30 g per day conferred higher TSH and lower FT3 levels. CONCLUSIONS Cigarette smoking is associated with modestly higher FT4 and FT3, and lower TSH levels, partly opposing effects of alcohol consumption.
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Affiliation(s)
- Eke G Gruppen
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Jenny Kootstra-Ros
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anneke Muller Kobold
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Margery A Connelly
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC, USA
| | - Daan Touw
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jens H J Bos
- Clinical Pharmacoepidemiology, University of Groningen, Groningen Research Institute of Pharmacy, Unit PharmacoEpidemiology and PharmacoEconomics, Groningen, The Netherlands
| | - Eelko Hak
- Clinical Pharmacoepidemiology, University of Groningen, Groningen Research Institute of Pharmacy, Unit PharmacoEpidemiology and PharmacoEconomics, Groningen, The Netherlands
| | - Thera P Links
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Otieno FCF, Ogola EN, Kimando MW, Mutai K. The burden of unrecognised chronic kidney disease in patients with type 2 diabetes at a county hospital clinic in Kenya: implications to care and need for screening. BMC Nephrol 2020; 21:73. [PMID: 32111192 PMCID: PMC7048110 DOI: 10.1186/s12882-020-1705-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 01/27/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances the cardiovascular risk profiles and disease, and is a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that would optimize outcomes including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a high prevalence of type 2 diabetes. It was aimed at finding out the burden of undiagnosed chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes who dwell mainly in the rural area. METHODS A cross-sectional study was conducted at the out-patient of Nyeri County hospital. A total of 385 patients were enrolled over 5 months. Informed consent was obtained and clinical evaluation was done, a spot sample of urine obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Descriptive statistics for data summary and regression analysis were employed on SPSS v23. RESULTS A total of 385 participants were included in the study, 252 (65.5%) were females. There were 39.0% (95%CI 34.3-44.2) patients in CKD/KDIGO stages 3, 4 and 5 and 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age > 50 years, long duration with diabetes > 5 years and hypertension. Employment and paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. CONCLUSION Unrecognized CKD of KDIGO stages 3,4 and 5 occurred in over 30 % of the study patients. The risk factors of hypertension, age above 50, long duration of diabetes should help identify those at high risk of developing CKD, for screening and linkage to care. They are at high risk of progression to end-stage kidney disease and cardiovascular events. The imperative of screening for chronic kidney disease is availing care in publicly-funded hospitals.
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Affiliation(s)
- Frederick C F Otieno
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Box 19676-00202, Nairobi, Kenya.
- Division of Medicine, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya.
| | - Elijah N Ogola
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Box 19676-00202, Nairobi, Kenya
- Division of Medicine, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya
| | - M W Kimando
- Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Box 19676-00202, Nairobi, Kenya
- Nyeri County Hospital, Nyeri, Kenya
| | - Kenn Mutai
- Division of Medicine, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya
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Górriz JL, Cos Claramunt FX, Duque N, Matali A. Review of the renal endpoints used in cardiovascular safety clinical trials in type 2 diabetes mellitus patients and their importance in primary care. Prim Care Diabetes 2019; 13:485-494. [PMID: 31400992 DOI: 10.1016/j.pcd.2019.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/12/2019] [Accepted: 07/16/2019] [Indexed: 01/07/2023]
Abstract
Chronic kidney disease (CKD) is one of the most common complications of type 2 diabetes mellitus (T2DM). Furthermore, CKD confers a considerable increase in the risk of cardiovascular (CV) morbidity and mortality. In line with the need to improve knowledge in this field, this article aims to describe the renal endpoints used in the different cardiovascular outcome trials (CVOTs). The objective is to better know the renal variables used in the different CVOTs in order to optimize the implementation of advances in the prevention of progressive diabetic kidney disease in patients with T2DM in clinical practice.
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Affiliation(s)
- Jose Luis Górriz
- Nephrology Department, Hospital Clínico Universitario, INCLIVA, Valencia, Spain; Universidad de Valencia, Valencia, Spain; Grupo Español de Estudio de Nefropatía Diabética (GEENDIAB), Spain.
| | - Francesc Xavier Cos Claramunt
- Innovation and Health in Primary Care Barcelona City, Gerencia Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain; Universidad Autónoma de Barcelona, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Primary Care Diabetes Europe (PCDE), Antwerpen, Belgium
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High Betaine, a Trimethylamine N-Oxide Related Metabolite, Is Prospectively Associated with Low Future Risk of Type 2 Diabetes Mellitus in the PREVEND Study. J Clin Med 2019; 8:jcm8111813. [PMID: 31683780 PMCID: PMC6912391 DOI: 10.3390/jcm8111813] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/25/2019] [Accepted: 10/29/2019] [Indexed: 12/17/2022] Open
Abstract
Background: Gut microbiota-related metabolites, trimethylamine-N-oxide (TMAO), choline, and betaine, have been shown to be associated with cardiovascular disease (CVD) risk. Moreover, lower plasma betaine concentrations have been reported in subjects with type 2 diabetes mellitus (T2DM). However, few studies have explored the association of betaine with incident T2DM, especially in the general population. The goals of this study were to evaluate the performance of a newly developed betaine assay and to prospectively explore the potential clinical associations of betaine and future risk of T2DM in a large population-based cohort. Methods: We developed a high-throughput, nuclear magnetic resonance (NMR) spectroscopy procedure for acquiring spectra that allow for the accurate quantification of plasma/serum betaine and TMAO. Assay performance for betaine quantification was assessed and Cox proportional hazards regression was employed to evaluate the association of betaine with incident T2DM in 4336 participants in the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study. Results: Betaine assay results were linear (y = 1.02X − 3.75) over a wide range of concentrations (26.0–1135 µM). The limit of blank (LOB), limit of detection (LOD) and limit of quantitation (LOQ) were 6.4, 8.9, and 13.2 µM, respectively. Coefficients of variation for intra- and inter-assay precision ranged from 1.5–4.3% and 2.5–5.5%, respectively. Deming regression analysis of results produced by NMR and liquid chromatography coupled to tandem mass spectrometry(LC-MS/MS) revealed an R2 value of 0.94 (Y = 1.08x – 1.89) and a small bias for higher values by NMR. The reference interval, in a cohort of apparently healthy adult participants (n = 501), was determined to be 23.8 to 74.7 µM (mean of 42.9 ± 12.6 µM). In the PREVEND study (n = 4336, excluding subjects with T2DM at baseline), higher betaine was associated with older age and lower body mass index, total cholesterol, triglycerides, and hsCRP. During a median follow-up of 7.3 (interquartile range (IQR), 5.9–7.7) years, 224 new T2DM cases were ascertained. Cox proportional hazards regression models revealed that the highest tertile of betaine was associated with a lower incidence of T2DM. Hazard ratio (HR) for the crude model was 0.61 (95% CI: 0.44–0.85, p = 0.004). The association remained significant even after adjusting for multiple clinical covariates and T2DM risk factors, including fasting glucose. HR for the fully-adjusted model was 0.50 (95% CI: 0.32–0.80, p = 0.003). Conclusions: The newly developed NMR-based betaine assay exhibits performance characteristics that are consistent with usage in the clinical laboratory. Betaine levels may be useful for assessing the risk of future T2DM.
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Hessels NR, van den Bosch JJON, van Londen M, Bakker SJL, Riphagen IJ, Navis GJ. Clinical and neurohumoral associates of variations in plasma Na +in the PREVEND cohort. Am J Physiol Renal Physiol 2019; 317:F978-F985. [DOI: 10.1152/ajprenal.00465.2018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Plasma Na+concentration is regulated within narrow limits. Yet, substantial interindividual differences exist even in the normal range. The determinants of these differences are not well understood. We therefore investigated the clinical and neurohumoral associates of plasma Na+. We studied 2,364 men (age: 48 ± 12 yr) and 2,710 women (age: 47 ± 12 yr) from the prospective Prevention of Renal and Vascular End-Stage Disease (PREVEND) cohort study. In the present study, we investigated the neurohumoral factors NH2-terminal prohormone of brain natriuretic peptide (NT-proBNP) and aldosterone as volume markers and copeptin as a marker for osmoregulation. Clinical associating variables of plasma Na+were age, sex, and plasma glucose. Furthermore, plasma Na+levels were associated with log2copeptin (men: standardized β = 0.18, P < 0.001; women: standardized β = 0.17, P < 0.001), log2NT-proBNP (men: standardized β = 0.07, P = 0.008; women: standardized β = 0.12, P < 0.001), and log2aldosterone (men: standardized β = −0.06, P = 0.005; women: standardized β = −0.09, P < 0.001). Copeptin and NT-proBNP showed an interaction in their association with plasma Na+. Thus, our data 1) support that osmoregulation, as estimated from copeptin levels, is a main associate of plasma Na+; 2) show a consistent association with volume markers, with higher NT-proBNP and lower aldosterone in individuals with higher plasma Na+; and 3) show that the interaction between copeptin and NT-proBNP illustrates that osmoregulation and volume regulation act in concert in the regulation of plasma Na+.
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Affiliation(s)
- Niek R. Hessels
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jacqueline J. O. N. van den Bosch
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marco van Londen
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J. L. Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ineke J. Riphagen
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gerjan J. Navis
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e426-e483. [PMID: 30354655 DOI: 10.1161/cir.0000000000000597] [Citation(s) in RCA: 360] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e484-e594. [PMID: 30354654 DOI: 10.1161/cir.0000000000000596] [Citation(s) in RCA: 220] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Zaid MA, Gathirua-Mwangi WG, Fung C, Monahan PO, El-Charif O, Williams AM, Feldman DR, Hamilton RJ, Vaughn DJ, Beard CJ, Cook R, Althouse SK, Ardeshir-Rouhani-Fard S, Dinh PC, Sesso HD, Einhorn LH, Fossa SD, Travis LB. Clinical and Genetic Risk Factors for Adverse Metabolic Outcomes in North American Testicular Cancer Survivors. J Natl Compr Canc Netw 2019. [PMID: 29523664 DOI: 10.6004/jnccn.2017.7046] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background: Testicular cancer survivors (TCS) are at significantly increased risk for cardiovascular disease (CVD), with metabolic syndrome (MetS) an established risk factor. No study has addressed clinical and genetic MetS risk factors in North American TCS. Patients and Methods: TCS were aged <55 years at diagnosis and received first-line chemotherapy. Patients underwent physical examination, and had lipid panels, testosterone, and soluble cell adhesion molecule-1 (sICAM-1) evaluated. A single nucleotide polymorphism in rs523349 (5-α-reductase gene, SRD5A2), recently implicated in MetS risk, was genotyped. Using standard criteria, MetS was defined as ≥3 of the following: hypertension, abdominal obesity, hypertriglyceridemia, decreased high-density lipoprotein (HDL) cholesterol level, and diabetes. Matched controls were derived from the National Health and Nutrition Examination Survey. Results: We evaluated 486 TCS (median age, 38.1 years). TCS had a higher prevalence of hypertension versus controls (43.2% vs 30.7%; P<.001) but were less likely to have decreased HDL levels (23.7% vs 34.8%; P<.001) or abdominal obesity (28.2% vs 40.1%; P<.001). Overall MetS frequency was similar in TCS and controls (21.0% vs 22.4%; P=.59), did not differ by treatment (P=.20), and was not related to rs523349 (P=.61). For other CVD risk factors, TCS were significantly more likely to have elevated low-density lipoprotein (LDL) cholesterol levels (17.7% vs 9.3%; P<.001), total cholesterol levels (26.3% vs 11.1%; P<.001), and body mass index ≥25 kg/m2 (75.1% vs 69.1%; P=.04). On multivariate analysis, age at evaluation (P<.001), testosterone level ≤3.0 ng/mL (odds ratio [OR], 2.06; P=.005), and elevated sICAM-1 level (ORhighest vs lowest quartile, 3.58; P=.001) were significantly associated with MetS. Conclusions and Recommendations: Metabolic abnormalities in TCS are characterized by hypertension and increased LDL and total cholesterol levels but lower rates of decreased HDL levels and abdominal obesity, signifying possible shifts in fat distribution and fat metabolism. These changes are accompanied by hypogonadism and inflammation. TCS have a high prevalence of CVD risk factors that may not be entirely captured by standard MetS criteria. Cancer treatment-associated MetS requires further characterization.
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Assessment of vascular inflammation and subclinical nephropathy in exaggerated blood pressure response to exercise test. Blood Press Monit 2019; 24:114-119. [DOI: 10.1097/mbp.0000000000000378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Berends AMA, Buitenwerf E, Gruppen EG, Sluiter WJ, Bakker SJL, Connelly MA, Kerstens MN, Dullaart RPF. Primary aldosteronism is associated with decreased low-density and high-density lipoprotein particle concentrations and increased GlycA, a pro-inflammatory glycoprotein biomarker. Clin Endocrinol (Oxf) 2019; 90:79-87. [PMID: 30372543 DOI: 10.1111/cen.13891] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 10/17/2018] [Accepted: 10/23/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Primary aldosteronism (PA) may confer increased cardiovascular risk beyond effects on systemic blood pressure, but contributing mechanisms remain incompletely understood. We compared plasma (apo)lipoproteins and lipoprotein particle characteristics, GlycA, a pro-inflammatory glycoprotein biomarker of enhanced chronic inflammation, and plasma total branched-chain amino acids (BCAA), measured using nuclear magnetic resonance (NMR) spectroscopy, between patients with PA, control subjects without hypertension, subjects with untreated hypertension and subjects with treated hypertension. METHODS Twenty PA patients were individually matched with 2819 control subjects without hypertension, 501 subjects with untreated hypertension and 878 subjects with treated hypertension participating in the PREVEND (Prevention of Renal and Vascular End-Stage Disease) cohort study with respect to age, sex, body mass index, smoking and statin use. The Vantera® Clinical Analyzer was used to determine NMR-based laboratory parameters. RESULTS Total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein (apo) B, apolipoprotein A-I (apoA-I), LDL particle and HDL particle concentrations were all decreased in PA subjects vs control subjects and subjects with untreated hypertension (P < 0.016). Triglycerides (TG) and triglyceride-rich lipoprotein (TRL) concentrations were lower in PA subjects vs subjects with (untreated) hypertension. GlycA was increased in PA vs the three comparator groups (P < 0.016). Total BCAA concentrations were unaltered in PA. CONCLUSIONS Primary aldosteronism is associated with lower concentrations of LDL and HDL particles and to some extent also with lower TG and TRL particle concentrations. PA is also characterized by increased GlycA levels, indicating enhanced low-grade chronic inflammation. Low HDL particle concentrations and increased GlycA could contribute to accelerated cardiovascular disease development in PA.
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Affiliation(s)
- Annika M A Berends
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Edward Buitenwerf
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eke G Gruppen
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Wim J Sluiter
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Margery A Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Raleigh, North Carolina
| | - Michiel N Kerstens
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Postma MR, van Beek AP, Jönsson PJ, van Bunderen CC, Drent ML, Mattsson AF, Camacho-Hubner C. Improvements in Body Composition after 4 Years of Growth Hormone Treatment in Adult-Onset Hypopituitarism Compared to Age-Matched Controls. Neuroendocrinology 2019; 109:131-140. [PMID: 30844796 DOI: 10.1159/000499430] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 03/05/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND/AIMS It is unknown whether long-term growth hormone replacement therapy (GHRT) affects body composition in an age- or sex-dependent manner. We aimed to study the effects of 4 years of GHRT on body composition in a large cohort of patients with hypopituitarism compared to a reference population matched by age and sex. METHODS A total of 964 GH-deficient adults from KIMS (Pfizer International Metabolic Database) with adult-onset hypopituitarism, adequately replaced with all pituitary hormones except for GH at baseline were included. A random sample of the general population (2,301 subjects) from a similar time period was used as reference. Patients and controls were grouped by sex in 5 age cohorts of 10 years. Main outcome measures were changes in BMI and waist circumference after 4 years of GHRT. RESULTS In younger patients (28-47 years), 4 years of GHRT resulted in a BMI increase similar to that observed in the reference population, but older patients (48-67 years) had significantly less BMI increase than age-matched healthy controls. Significant differences were seen in waist circumference in patients of all age cohorts who showed virtually no change after 4 years of GHRT compared to approximately 4 cm of increase in the reference population. CONCLUSION Four years of GHRT resulted in improvements in BMI and waist circumference in patients with adult-onset hypopituitarism compared to age-matched controls observed during the same follow-up time. Despite these beneficial effects on body composition, BMI and waist circumference remained higher in patients on GHRT compared to healthy controls.
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Affiliation(s)
- Mark R Postma
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - André P van Beek
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,
| | | | - Christa C van Bunderen
- Department of Internal Medicine, Section Endocrinology, VU University Medical Center, Amsterdam, The Netherlands
| | - Madeleine L Drent
- Department of Internal Medicine, Section Endocrinology, VU University Medical Center, Amsterdam, The Netherlands
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Gruppen EG, Bakker SJL, James RW, Dullaart RPF. Serum paraoxonase-1 activity is associated with light to moderate alcohol consumption: the PREVEND cohort study. Am J Clin Nutr 2018; 108:1283-1290. [PMID: 30376039 DOI: 10.1093/ajcn/nqy217] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 08/06/2018] [Indexed: 12/14/2022] Open
Abstract
Background Paraoxonase-1 (PON-1) is a high-density lipoprotein (HDL)-associated enzyme with antioxidative properties, which may protect against the development of cardiovascular disease. Alcohol consumption increases HDL cholesterol, but the extent to which alcohol consumption gives rise to higher serum PON-1 activity is uncertain. Objective In a population-based study, we determined the relation of serum PON-1 activity with alcohol consumption when taking account of HDL cholesterol and apolipoprotein A-I (apoA-I), its major apolipoprotein. Design A cross-sectional study was performed in 8224 participants of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) cohort. Alcohol consumption was categorized as 1) no/rarely (25.3%); 2) 0.1-10 g/d (49.3%); 3) 10-30 g/d (20.1%); and 4) >30 g/d (5.2%) with 1 drink equivalent to 10 g alcohol. Serum PON-1 activity was measured as its arylesterase activity (phenyl acetate as substrate). Results Median serum PON-1 activity was 50.8, 53.1, 54.4, and 55.7 U/L in the 4 categories of alcohol consumption, respectively (P < 0.001). Its increase paralleled the increments in HDL cholesterol and apoA-I. Notably, there was no further increase in PON-1 activity, HDL cholesterol, and apoA-I when alcohol consumption was increased from 10-30 g/d to >30 g/d. Multivariable linear regression analysis demonstrated that PON-1 activity was related to alcohol consumption independently from clinical covariates, high sensitivity C-reactive protein, and lipid concentrations, including HDL cholesterol (P < 0.001 for each category of alcohol consumption with no alcohol consumption as the reference category). Notably, as inferred from standardized β-coefficients, there was no difference in PON-1 activity between 10-30 g alcohol/d and >30 g alcohol/d. Conclusions Alcohol consumption is associated with an increase in serum PON-1 activity, but its effect seems to reach a plateau with alcohol consumption of 10-30 g/d.
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Affiliation(s)
- Eke G Gruppen
- Departments of Endocrinology.,Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Stephan J L Bakker
- Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Richard W James
- Department of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Flores-Guerrero JL, Connelly MA, Shalaurova I, Gruppen EG, Kieneker LM, Dullaart RPF, Bakker SJL. Lipoprotein insulin resistance index, a high-throughput measure of insulin resistance, is associated with incident type II diabetes mellitus in the Prevention of Renal and Vascular End-Stage Disease study. J Clin Lipidol 2018; 13:129-137.e1. [PMID: 30591414 DOI: 10.1016/j.jacl.2018.11.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 11/20/2018] [Accepted: 11/27/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Early assessment of insulin resistance may be a way of identifying patients at risk as well as monitoring treatments that increase insulin sensitivity and reduce the risk of developing type II diabetes mellitus (T2DM). OBJECTIVE The objective of the study was to evaluate the ability of the Lipoprotein Insulin Resistance Index (LP-IR) to predict incident T2DM in a large cohort. METHODS LP-IR scores were calculated using 6 lipoprotein particle concentrations and sizes measured by nuclear magnetic resonance spectroscopy. In total, 5977 nondiabetic men and women were included. Cox proportional hazards regression was used to evaluate the association of LP-IR scores with incident T2DM. RESULTS LP-IR scores were closely associated with insulin resistance, assessed by homeostatic model assessment of insulin resistance (r = 0.51; P < .0001). During a median follow-up for 7.5 years, 278 new T2DM cases were ascertained. The Kaplan-Meier plot with log-rank test (P < .001) demonstrated that elevated LP-IR levels are associated with an increased T2DM risk. In analyses adjusted for age and sex, LP-IR was associated with incident T2DM; hazard ratio (HR) for the highest versus lowest quartile was 10.18 (95% confidence interval: 6.24-16.61), P < .0001. After adjustment for clinical risk factors, the HR was attenuated but remained significant (HR 3.02 [1.73-5.25], P < .0001). LP-IR scores added significantly to the performance of the Framingham Offspring prediction algorithm; C-index (95% confidence interval) for the Framingham Offspring score without and with LP-IR (0.863 [0.863-0.864] and 0.868 [0.867-0.86], P < .0001). Similar results were observed when LP-IR was analyzed as a categorical variable with a clinical cut-point of 68. CONCLUSION LP-IR may be a convenient way to assess insulin resistance and T2DM risk, as well as to monitor preventative treatments.
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Affiliation(s)
- Jose L Flores-Guerrero
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
| | - Margery A Connelly
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC, USA
| | - Irina Shalaurova
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC, USA
| | - Eke G Gruppen
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Lyanne M Kieneker
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Stephan J L Bakker
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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44
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary. ACTA ACUST UNITED AC 2018; 12:579.e1-579.e73. [DOI: 10.1016/j.jash.2018.06.010] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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45
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El Boustany R, Tasevska I, Meijer E, Kieneker LM, Enhörning S, Lefèvre G, Mohammedi K, Marre M, Fumeron F, Balkau B, Bouby N, Bankir L, Bakker SJ, Roussel R, Melander O, Gansevoort RT, Velho G. Plasma copeptin and chronic kidney disease risk in 3 European cohorts from the general population. JCI Insight 2018; 3:121479. [PMID: 29997293 PMCID: PMC6124520 DOI: 10.1172/jci.insight.121479] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 05/23/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The prevalence of chronic kidney disease (CKD) is increasing worldwide. The identification of factors contributing to its progression is important for designing preventive measures. Previous studies have suggested that chronically high vasopressin is deleterious to renal function. Here, we evaluated the association of plasma copeptin, a surrogate of vasopressin, with the incidence of CKD in the general population. METHODS We studied 3 European cohorts: DESIR (n = 5,047; France), MDCS-CC (n = 3,643; Sweden), and PREVEND (n = 7,684; the Netherlands). Median follow-up was 8.5, 16.5, and 11.3 years, respectively. Pooled data were analyzed at an individual level for 4 endpoints during follow-up: incidence of stage 3 CKD (estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m2); the KDIGO criterion "certain drop in eGFR"; rapid kidney function decline (eGFR slope steeper than -3 ml/min/1.73 m2/yr); and incidence of microalbuminuria. RESULTS The upper tertile of plasma copeptin was significantly and independently associated with a 49% higher risk for stage 3 CKD (P < 0.0001); a 64% higher risk for kidney function decline, as defined by the KDIGO criterion (P < 0.0001); a 79% higher risk for rapid kidney function decline (P < 0.0001); and a 24% higher risk for microalbuminuria (P = 0.008). CONCLUSIONS High copeptin levels are associated with the development and the progression of CKD in the general population. Intervention studies are needed to assess the potential beneficial effect on kidney health in the general population of reducing vasopressin secretion or action. FUNDING INSERM and Danone Research Centre for Specialized Nutrition.
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Affiliation(s)
- Ray El Boustany
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- Danone Nutricia Research, Palaiseau, France
| | - Irina Tasevska
- Departments of Internal Medicine and Clinical Sciences, Lund University, Malmö, Sweden
| | - Esther Meijer
- Department of Internal Medicine, University Medical Center, Division of Nephrology, University of Groningen, Groningen, Netherlands
| | - Lyanne M. Kieneker
- Department of Internal Medicine, University Medical Center, Division of Nephrology, University of Groningen, Groningen, Netherlands
| | - Sofia Enhörning
- Departments of Internal Medicine and Clinical Sciences, Lund University, Malmö, Sweden
| | - Guillaume Lefèvre
- Service de Biochimie et Hormonologie, Assistance Publique — Hôpitaux de Paris, Hôpitaux Universitaires Est Parisien–Tenon, Paris, France
| | - Kamel Mohammedi
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- Department of Diabetology, Endocrinology and Nutrition, DHU Fire, Assistance Publique — Hôpitaux de Paris, Bichat Hospital, Paris, France
| | - Michel Marre
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- Department of Diabetology, Endocrinology and Nutrition, DHU Fire, Assistance Publique — Hôpitaux de Paris, Bichat Hospital, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Frédéric Fumeron
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Beverley Balkau
- Inserm Research Unit 1018, Center for Research in Epidemiology and Population Health, Villejuif, France
- Université Paris Sud, Villejuif, France
| | - Nadine Bouby
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Lise Bankir
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- UPMC University Paris 6, Sorbonne Universités, Paris, France
| | - Stephan J.L. Bakker
- Department of Internal Medicine, University Medical Center, Division of Nephrology, University of Groningen, Groningen, Netherlands
| | - Ronan Roussel
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
- Department of Diabetology, Endocrinology and Nutrition, DHU Fire, Assistance Publique — Hôpitaux de Paris, Bichat Hospital, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Olle Melander
- Departments of Internal Medicine and Clinical Sciences, Lund University, Malmö, Sweden
| | - Ron T. Gansevoort
- Department of Internal Medicine, University Medical Center, Division of Nephrology, University of Groningen, Groningen, Netherlands
| | - Gilberto Velho
- Inserm Research Unit 1138, Centre de Recherche des Cordeliers, Paris, France
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46
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018. [DOI: 10.1161/hyp.0000000000000065 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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47
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Kunutsor SK, Spee JM, Kieneker LM, Gansevoort RT, Dullaart RPF, Voerman AJ, Touw DJ, Bakker SJL. Self-Reported Smoking, Urine Cotinine, and Risk of Cardiovascular Disease: Findings From the PREVEND (Prevention of Renal and Vascular End-Stage Disease) Prospective Cohort Study. J Am Heart Assoc 2018; 7:JAHA.118.008726. [PMID: 29720504 PMCID: PMC6015309 DOI: 10.1161/jaha.118.008726] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND We aimed to compare the associations of smoking exposure as assessed by self-reports and urine cotinine with cardiovascular disease (CVD) risk and determine the potential utility of cotinine for CVD risk prediction. METHODS AND RESULTS Smoking status by self-reports and urine cotinine were assessed at baseline in 4737 participants (mean age, 53 years) of the PREVEND (Prevention of Renal and Vascular End-Stage Disease) prospective study. Participants were classified as never, former, light current (≤10 cigarettes/day), and heavy current smokers (>10 cigarettes/day) according to self-reports and analogous cutoffs for urine cotinine. During a median follow-up of 8.5 years, 296 first CVD events were recorded. Compared with self-reported never smokers, the hazard ratios (95% confidence interval) of CVD for former, light current, and heavy current smokers were 0.86 (0.64-1.17), 1.28 (0.83-1.97), and 1.80 (1.27-2.57) in multivariate analysis. Compared with urine cotinine-assessed never smokers, the corresponding hazard ratios of CVD for urine cotinine-assessed former, light current, and heavy current smokers were 1.70 (1.03-2.81), 1.62 (1.15-2.28), and 1.95 (1.39-2.73) respectively. The C-index change on adding urine cotinine-assessed smoking status to a standard CVD risk prediction model (without self-reported smoking status) was 0.0098 (0.0031-0.0164; P=0.004). The corresponding C-index change for self-reported smoking status was 0.0111 (0.0042-0.0179; P=0.002). CONCLUSIONS Smoking status as assessed by self-reports and urine cotinine is associated with CVD risk; however, the nature of the association of urine cotinine with CVD is consistent with a dose-response relationship. The ability of urine cotinine to improve CVD risk assessment is similar to that of self-reported smoking status.
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Affiliation(s)
- Setor K Kunutsor
- Translational Health Sciences, Bristol Medical School, Southmead Hospital University of Bristol, United Kingdom .,National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust University of Bristol, United Kingdom
| | - Julia M Spee
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Lyanne M Kieneker
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Albert-Jan Voerman
- Department of Pharmacy and Clinical Pharmacology, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Daan J Touw
- Department of Pharmacy and Clinical Pharmacology, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands.,Top Institute Food and Nutrition, Wageningen, The Netherlands
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48
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Anderson JLC, Gruppen EG, van Tienhoven-Wind L, Eisenga MF, de Vries H, Gansevoort RT, Bakker SJL, Dullaart RPF. Glomerular filtration rate is associated with free triiodothyronine in euthyroid subjects: Comparison between various equations to estimate renal function and creatinine clearance. Eur J Intern Med 2018; 48:94-99. [PMID: 29079274 DOI: 10.1016/j.ejim.2017.10.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/09/2017] [Accepted: 10/10/2017] [Indexed: 11/21/2022]
Abstract
BACKGROUND Effects of variations in thyroid function within the euthyroid range on renal function are unclear. Cystatin C-based equations to estimate glomerular filtration rate (GFR) are currently advocated for mortality and renal risk prediction. However, the applicability of cystatin C-based equations is discouraged in patients with overt thyroid dysfunction, since serum cystatin C and creatinine levels are oppositely affected by thyroid dysfunction. Here, we compared relationships of thyroid stimulating hormone (TSH), free thyroxine (FT4) and free triiodothyronine (FT3) with various measures of kidney function in euthyroid subjects. METHODS Relationships of eGFR, based on creatinine (eGFRcrea), cystatin C (eGFRcysC), creatinine+cystatin C combined (eGFRcrea-cysC) and creatinine clearance (CrCl) with TSH, FT4 and FT3 were determined in 2180 euthyroid subjects (TSH, FT4 and FT3 all within the reference range; anti-thyroid peroxidase autoantibodies negative) who did not use thyroid hormones, anti-thyroid drugs, amiodarone or lithium carbonate. RESULTS In multivariable models including TSH, FT3 and FT4 together, eGFRcrea, eGFRcysC and eGFRcrea-cysC and CrCl were all positively related to FT3 (P≤0.001), translating into a 2.61 to 2.83mL/min/1.73m2 increase in eGFR measures and a 3.92mL/min increase in CrCl per 1pmol/L increment in FT3. These relationships with FT3 remained taking account of relevant covariates. CONCLUSIONS In euthyroid subjects renal function is associated with thyroid function status, especially by serum FT3, irrespective of the eGFR equation applied. In the euthyroid state, cystatin C-based eGFR equations are appropriate to assess the relationship of renal function with variation in thyroid function status.
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Affiliation(s)
- Josephine L C Anderson
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Eke G Gruppen
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands; Department of Nephrology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Lynnda van Tienhoven-Wind
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Michele F Eisenga
- Department of Nephrology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Hanne de Vries
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Nephrology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Nephrology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
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49
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2017; 71:e13-e115. [PMID: 29133356 DOI: 10.1161/hyp.0000000000000065] [Citation(s) in RCA: 1573] [Impact Index Per Article: 224.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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50
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Kunutsor SK, Kieneker LM, Burgess S, Bakker SJL, Dullaart RPF. Circulating Total Bilirubin and Future Risk of Hypertension in the General Population: The Prevention of Renal and Vascular End-Stage Disease (PREVEND) Prospective Study and a Mendelian Randomization Approach. J Am Heart Assoc 2017; 6:e006503. [PMID: 29133521 PMCID: PMC5721749 DOI: 10.1161/jaha.117.006503] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 09/20/2017] [Indexed: 12/15/2022]
Abstract
BACKGROUND Circulating total bilirubin is known to be inversely and independently associated with future risk of cardiovascular disease. However, the relationship of circulating total bilirubin with incident hypertension is uncertain. We aimed to assess the association of total bilirubin with future hypertension risk and supplemented this with a Mendelian randomization approach to investigate any causal relevance to the association. METHODS AND RESULTS Plasma total bilirubin levels were measured at baseline in the PREVEND (Prevention of Renal and Vascular End-Stage Disease) prospective study of 3989 men and women without hypertension. Hazard ratios (95% confidence intervals) of total bilirubin with incident hypertension were assessed. New-onset hypertension was recorded in 1206 participants during a median follow-up of 10.7 years. Baseline total bilirubin was approximately log-linearly associated with hypertension risk. Age- and sex-adjusted hazard ratio for hypertension per 1-SD increase in loge total bilirubin was 0.86 (0.81-0.92; P<0.001), which was attenuated to 0.94 (0.88-0.99; P=0.040) after further adjustment for established risk factors and other potential confounders. The association was marginally significant on further adjustment for high-sensitivity C-reactive protein (0.94; 0.88-1.00; P=0.067). A genetic variant at the UGT1A1*28 locus consistently shown to be strongly associated with circulating bilirubin levels-rs6742078-was not significantly associated with blood pressure or hypertension (P>0.05 for all), arguing against a strong causal association of circulating bilirubin with blood pressure. CONCLUSIONS The weak and inverse association of circulating total bilirubin with future hypertension risk may be driven by biases such as unmeasured confounding and/or reverse causation. Further evaluation is warranted.
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Affiliation(s)
- Setor K Kunutsor
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Lyanne M Kieneker
- Department of Nephrology Medicine, University of Groningen and University Medical Center, Groningen, The Netherlands
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Stephan J L Bakker
- Department of Nephrology Medicine, University of Groningen and University Medical Center, Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Endocrinology, University of Groningen and University Medical Center, Groningen, The Netherlands
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