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Niedermayer F, Schauberger G, Rathmann W, Klug SJ, Thorand B, Peters A, Rospleszcz S. Clusters of longitudinal risk profile trajectories are associated with cardiometabolic diseases: Results from the population-based KORA cohort. PLoS One 2024; 19:e0300966. [PMID: 38547172 PMCID: PMC10977748 DOI: 10.1371/journal.pone.0300966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/07/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Multiple risk factors contribute jointly to the development and progression of cardiometabolic diseases. Therefore, joint longitudinal trajectories of multiple risk factors might represent different degrees of cardiometabolic risk. METHODS We analyzed population-based data comprising three examinations (Exam 1: 1999-2001, Exam 2: 2006-2008, Exam 3: 2013-2014) of 976 male and 1004 female participants of the KORA cohort (Southern Germany). Participants were followed up for cardiometabolic diseases, including cardiovascular mortality, myocardial infarction and stroke, or a diagnosis of type 2 diabetes, until 2016. Longitudinal multivariate k-means clustering identified sex-specific trajectory clusters based on nine cardiometabolic risk factors (age, systolic and diastolic blood pressure, body-mass-index, waist circumference, Hemoglobin-A1c, total cholesterol, high- and low-density lipoprotein cholesterol). Associations between clusters and cardiometabolic events were assessed by logistic regression models. RESULTS We identified three trajectory clusters for men and women, respectively. Trajectory clusters reflected a distinct distribution of cardiometabolic risk burden and were associated with prevalent cardiometabolic disease at Exam 3 (men: odds ratio (OR)ClusterII = 2.0, 95% confidence interval: (0.9-4.5); ORClusterIII = 10.5 (4.8-22.9); women: ORClusterII = 1.7 (0.6-4.7); ORClusterIII = 5.8 (2.6-12.9)). Trajectory clusters were furthermore associated with incident cardiometabolic cases after Exam 3 (men: ORClusterII = 3.5 (1.1-15.6); ORClusterIII = 7.5 (2.4-32.7); women: ORClusterII = 5.0 (1.1-34.1); ORClusterIII = 8.0 (2.2-51.7)). Associations remained significant after adjusting for a single time point cardiovascular risk score (Framingham). CONCLUSIONS On a population-based level, distinct longitudinal risk profiles over a 14-year time period are differentially associated with cardiometabolic events. Our results suggest that longitudinal data may provide additional information beyond single time-point measures. Their inclusion in cardiometabolic risk assessment might improve early identification of individuals at risk.
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Affiliation(s)
- Fiona Niedermayer
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Gunther Schauberger
- Chair of Epidemiology, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany
- Department for Biometrics and Epidemiology, German Diabetes Research Institute, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Stefanie J. Klug
- Chair of Epidemiology, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany
| | - Annette Peters
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany
| | - Susanne Rospleszcz
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Koohi F, Khalili D, Mansournia MA, Hadaegh F, Soori H. Multi-trajectories of lipid indices with incident cardiovascular disease, heart failure, and all-cause mortality: 23 years follow-up of two US cohort studies. J Transl Med 2021; 19:286. [PMID: 34217318 PMCID: PMC8254336 DOI: 10.1186/s12967-021-02966-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/27/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Understanding the distinct patterns (trajectories) of variation in blood lipid levels before diagnosing cardiovascular disease (CVD) might carry important implications for improving disease prevention or treatment. METHODS We investigated 14,373 participants (45.5% men) aged 45-84 from two large US prospective cohort studies with a median of 23 years follow-up. First, we jointly estimated developmental trajectories of lipid indices, including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) concentrations using group-based multi-trajectory modeling. Then, the association of identified multi-trajectories with incident CVD, heart failure, and all-cause mortality were examined using Cox proportional hazard model. RESULTS Seven distinct multi-trajectories were identified. The majority of participants (approximately 80%) exhibited decreasing LDL-C but rising TG levels and relatively stable HDL-C levels. Compared to the individuals with healthy and stable LDL-C, HDL-C, and TG levels, those in other groups were at significant risk of incident CVD after adjusting for other conventional risk factors. Individuals with the highest but decreasing LDL-C and borderline high and rising TG levels over time were at the highest risk than those in other groups with a 2.22-fold risk of CVD. Also, those with the highest and increased triglyceride levels over time, over optimal and decreasing LDL-C levels, and the lowest HDL-C profile had a nearly 1.84 times CVD risk. Even individuals in the multi-trajectory group with the highest HDL-C, optimal LDL-C, and optimal TG levels had a significant risk (HR, 1.45; 95% CI 1.02-2.08). Furthermore, only those with the highest HDL-C profile increased the risk of heart failure by 1.5-fold (95% CI 1.07-2.06). CONCLUSIONS The trajectories and risk of CVD identified in this study demonstrated that despite a decline in LDL-C over time, a significant amount of residual risk for CVD remains. These findings suggest the impact of the increasing trend of TG on CVD risk and emphasize the importance of assessing the lipid levels at each visit and undertaking potential interventions that lower triglyceride concentrations to reduce the residual risk of CVD, even among those with the optimal LDL-C level.
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Affiliation(s)
- Fatemeh Koohi
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Department of Epidemiology and Biostatistics, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Soori
- Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Dayimu A, Wang C, Li J, Fan B, Ji X, Zhang T, Xue F. Trajectories of Lipids Profile and Incident Cardiovascular Disease Risk: A Longitudinal Cohort Study. J Am Heart Assoc 2019; 8:e013479. [PMID: 31630587 PMCID: PMC6898842 DOI: 10.1161/jaha.119.013479] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background The association between low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, and triglycerides with cardiovascular disease (CVD) has been well studied. No previous studies considered trajectory of these lipids jointly. This study aims to characterize longitudinal trajectories of lipid profile jointly and examine its impact on incident CVD. Methods and Results A total of 9726 participants (6102 men), aged from 20 to 58 years who had lipids repeatedly measured 3 to 9 times, were included in the study. Three distinct trajectories were identified using the multivariate latent class growth mixture model: inverse U‐shape (18.72%; n=1821), progressing (66.03%; n=6422), and U‐shape (15.25%; n=1483). Compared with the U‐shape class, the adjusted hazard ratio and 95% CI were 1.33 (1.05–1.68) and 1.49 (1.14–1.95) for the progressing and inverse U‐shape class, respectively. The area under the curve was calculated using the integral of the model parameters. In the adjusted model, total and incremental area under the curve of lipid profile were significantly associated with CVD risk. Furthermore, the model‐estimated levels and linear slopes of lipids were calculated at each age point according to the latent class growth mixture model model parameters and their first derivatives, respectively. After adjusting for covariates, standardized odds ratio of slope increases gradually from 1.11 (1.02, 1.21) to 1.21 (1.12, 1.31) at 20 to 40 years and then decreased to 1.02 (0.94, 1.11) until 60 years. Conclusions These results indicate that the lipids profile trajectory has a significant impact on CVD risk. Age between 20 and 42 years is a crucial period for incident CVD, which has implications for early lipids intervention.
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Affiliation(s)
- Alimu Dayimu
- Department of Biostatistics School of Public Health Shandong University Jinan China
| | - Chunxia Wang
- Health Management Center Affiliated Hospital of Jining Medical University Jining Shandong China
| | - Jiangbing Li
- Department of Cardiology Shandong Provincial Hospital Shandong University Jinan China
| | - Bingbing Fan
- Department of Biostatistics School of Public Health Shandong University Jinan China
| | - Xiaokang Ji
- Department of Biostatistics School of Public Health Shandong University Jinan China
| | - Tao Zhang
- Department of Biostatistics School of Public Health Shandong University Jinan China
| | - Fuzhong Xue
- Department of Biostatistics School of Public Health Shandong University Jinan China
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Shida N, Kuroda K, Kwag JO, Machida K. [Changes in mental health index, serum biochemical parameters and neutrophil function after start of the wheelchair use at a nursing home in Korea]. Nihon Eiseigaku Zasshi 2012; 67:67-75. [PMID: 22449826 DOI: 10.1265/jjh.67.67] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES In Korea, long-term care insurance has been provided to the elderly since 2008. We conducted a health survey of the elderly in a nursing home in Korea from 2007 to 2010. Since the introduction of the insurance system, many of the elderly have started using wheelchairs. We aimed to determine the effect of using wheelchairs on mental health index, serum biochemical parameters, and neutrophil function. METHODS The subjects were 32 elderly persons (mean age: 74.44 ± 5.79 years) who could walk unaided in 2007 and were not bedridden until 2010. We classified the subjects into the walking group (subjects could walk unaided or with a cane until 2010; 10 men, 9 women) and the wheelchair group (subjects required the use of a wheelchair from 2007 to 2010; 2 men, 11 women). We determined stress score, stress tolerance, subjective well-being score in accordance with the Philadelphia Geriatric Center Morale Scale, and serum biochemical parameters. We also analyzed oxidant production and phagocytosis by neutrophils and estimated the balance between oxidant production and phagocytosis by correlation analysis. RESULTS Increases in the stress tolerance of the wheelchair group in 2008 and 2009 and the subjective well-being score in 2009 in the survey were observed. However, in 2010, the stress tolerance and the subjective well-being score decreased to the levels in 2007. In 2010, the levels of serum albumin and high-density lipoprotein cholesterol of the wheelchair group were significantly lower than those of the walking group, and the balance between phagocytosis and oxidant production in the wheelchair group improved.
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Affiliation(s)
- Naoki Shida
- Graduate school of human sciences, Waseda University, Tokoyawa-shi, Saitama, Japan.
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