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Chen L, Wang X, Lin TZ, Xiang H, Liu H, Xu S, Yue J, Wu C. Steps to developing a DXA-based risk score for cardiovascular outcomes among older adults: the health, aging, and body composition study. Sci Rep 2024; 14:23311. [PMID: 39375399 PMCID: PMC11458873 DOI: 10.1038/s41598-024-74185-y] [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: 04/02/2024] [Accepted: 09/24/2024] [Indexed: 10/09/2024] Open
Abstract
Cardiovascular disease (CVD) is a major chronic disease worldwide and its risk factors have long been investigating in epidemiological studies. Our study aims to develop a body composition-based risk score and integrate it into the Framingham Risk Score (FRS) to improve CVD prediction among well-functioning older adults. We included 1882 older adults from the Health, Aging and Body Composition (Health ABC) study to screen body composition variables obtained from the Dual-energy X-ray absorptiometry (DXA). Three models were developed and compared: the 4-DXA model, the refit FRS, and the refit FRS plus 4-DXA model. C-statistics were 0.62 (95% CI: 0.59, 0.65) for the refit FRS, 0.58 (95% CI: 0.55, 0.61) for the 4-DXA model, and 0.63 (95% CI: 0.60, 0.66) for the refit FRS plus 4-DXA model. Compared to the refit FRS, the refit FRS plus 4-DXA model slightly improved CVD outcome prediction as the discrimination slope, net reclassification index, and the integrated discrimination index were 0.053 (95% CI: 0.041, 0.066), 0.098 (95% CI = - 0.0033, 0.20) and 0.013 (95% CI: 0.0069-0.019). This study provides a model for more accurate risk stratification and draws more attention on DXA-based indices in the clinical setting. It also encourages further research in validating the developed risk score in more diverse population and in investigating a broader range of CVD risk factors.
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Affiliation(s)
- Lihui Chen
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China
| | - Xinran Wang
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China
| | - Tian-Ze Lin
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Hua Liu
- Department of Neurosurgery, The Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China
| | - Shen Xu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jirong Yue
- Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
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Ke C, Zhang X, Wang X. Association between dietary inflammatory index and all-cause mortality in patients with osteopenia or osteoporosis: A retrospective cohort study from the NHANES 2007-2018. Prev Med Rep 2024; 45:102826. [PMID: 39156725 PMCID: PMC11328027 DOI: 10.1016/j.pmedr.2024.102826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/10/2024] [Accepted: 07/10/2024] [Indexed: 08/20/2024] Open
Abstract
Objective Osteoporosis is an inflammatory disease that causes a large disease burden worldwide. Dietary inflammation index (DII), a comprehensive assessment index that reflects the pro-inflammatory/anti-inflammatory level of diet was related to multiple inflammatory diseases. This study aimed to explore the association between DII and all-cause mortality in patients with osteoporosis or osteopenia. Methods In this retrospective cohort study, data of patients aged ≥ 45 years diagnosed as osteopenia or osteoporosis and had complete dietary intake information were extracted from the National Health and Nutrition Examination Survey (NHANES 2007-2010, 2013-2014, 2017-2018). Dietary intake information was obtained from 24-h dietary recall interviews and was used to calculate the DII score. Weighted univariate and multivariate Cox proportional hazard models were utilized to explore the association between DII and all-cause mortality in patients with osteoporosis or osteopenia, with hazard ratios (HRs) and 95 % confidence intervals (CIs). Subgroup analyses based on different age, gender and complications were further assessed this association. Results A total of 5,381 patients were included. Until December 31, 2019, 1,286 all-cause deaths occurred. After adjusting all covariates, high DII was associated with the high odds of all-cause mortality among patients with osteoporosis or osteopenia (HR=1.28, 95 %CI: 1.10-1.48), especially in the male (HR=1.38, 95 %CI: 1.06-1.78), aged < 65 years (HR=1.49, 95 %CI: 1.09-2.02), and without the history the cardiovascular disease (HR=1.30, 95 %CI: 1.03-1.65), diabetes mellitus (HR=1.27, 95 %CI: 1.06-1.52) and chronic kidney disease (HR=1.28, 95 %CI: 1.03-1.58). Conclusion A pro-inflammatory diet may have an adverse effect on the prognosis of osteoporosis patients.
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Affiliation(s)
- Chenrong Ke
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
- Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou 325000, Zhejiang Province, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Xiaolei Zhang
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
- Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou 325000, Zhejiang Province, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Xiangyang Wang
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
- Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou 325000, Zhejiang Province, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
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Dong Q, Wu J, Zhang H, Luo L, Wu W. The causal role of circulating inflammatory markers in osteoporosis: a bidirectional Mendelian randomized study. Front Immunol 2024; 15:1412298. [PMID: 39091505 PMCID: PMC11291241 DOI: 10.3389/fimmu.2024.1412298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 07/02/2024] [Indexed: 08/04/2024] Open
Abstract
Background Osteoporosis (OP) associated with aging exerts substantial clinical and fiscal strains on societal structures. An increasing number of research studies have suggested a bidirectional relationship between circulating inflammatory markers (CIMs) and OP. However, observational studies are susceptible to perturbations in confounding variables. In contrast, Mendelian randomization (MR) offers a robust methodological framework to circumvent such confounders, facilitating a more accurate assessment of causality. Our study aimed to evaluate the causal relationships between CIMs and OP, identifying new approaches and strategies for the prevention, diagnosis and treatment of OP. Methods We analyzed publicly available GWAS summary statistics to investigate the causal relationships between CIMs and OP. Causal estimates were calculated via a systematic analytical framework, including bidirectional MR analysis and Bayesian colocalization analysis. Results Genetically determined levels of CXCL11 (OR = 0.91, 95% CI = 0.85-0.98, P = 0.008, PFDR = 0.119), IL-18 (OR = 0.88, 95% CI = 0.83-0.94, P = 8.66×10-5, PFDR = 0.008), and LIF (OR = 0.86, 95% CI = 0.76-0.96, P = 0.008, PFDR = 0.119) were linked to a reduced risk of OP. Conversely, higher levels of ARTN (OR = 1.11, 95% CI = 1.02-1.20, P = 0.012, PFDR = 0.119) and IFNG (OR = 1.16, 95% CI = 1.03-1.30, P = 0.013, PFDR = 0.119) were associated with an increased risk of OP. Bayesian colocalization analysis revealed no evidence of shared causal variants. Conclusion Despite finding no overall association between CIMs and OP, five CIMs demonstrated a potentially significant association with OP. These findings could pave the way for future mechanistic studies aimed at discovering new treatments for this disease. Additionally, we are the first to suggest a unidirectional causal relationship between ARTN and OP. This novel insight introduces new avenues for research into diagnostic and therapeutic strategies for OP.
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Affiliation(s)
- Qiu Dong
- Department of Bone and Joint Surgery, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jiayang Wu
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Huaguo Zhang
- Department of Ultrasonography, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Liangping Luo
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Medical Imaging Center, The Fifth Affiliated Hospital of Jinan University, Heyuan, Guangdong, China
| | - Wenrui Wu
- Department of Bone and Joint Surgery, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Department of Orthopedics, Chaoshan Hospital, The First Affiliated Hospital of Jinan University, Chaozhou, Guangdong, China
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Condurache DG, D’Angelo S, Salih AM, Szabo L, McCracken C, Mahmood A, Curtis EM, Altmann A, Petersen SE, Harvey NC, Raisi-Estabragh Z. Bone health, cardiovascular disease, and imaging outcomes in UK Biobank: a causal analysis. JBMR Plus 2024; 8:ziae058. [PMID: 38784722 PMCID: PMC11114472 DOI: 10.1093/jbmrpl/ziae058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
This study examined the association of estimated heel bone mineral density (eBMD, derived from quantitative ultrasound) with: (1) prevalent and incident cardiovascular diseases (CVDs: ischemic heart disease (IHD), myocardial infarction (MI), heart failure (HF), non-ischemic cardiomyopathy (NICM), arrhythmia), (2) mortality (all-cause, CVD, IHD), and (3) cardiovascular magnetic resonance (CMR) measures of left ventricular and atrial structure and function and aortic distensibility, in the UK Biobank. Clinical outcomes were ascertained using health record linkage over 12.3 yr of prospective follow-up. Two-sample Mendelian randomization (MR) was conducted to assess causal associations between BMD and CMR metrics using genetic instrumental variables identified from published genome-wide association studies. The analysis included 485 257 participants (55% women, mean age 56.5 ± 8.1 yr). Higher heel eBMD was associated with lower odds of all prevalent CVDs considered. The greatest magnitude of effect was seen in association with HF and NICM, where 1-SD increase in eBMD was associated with 15% lower odds of HF and 16% lower odds of NICM. Association between eBMD and incident IHD and MI was non-significant; the strongest relationship was with incident HF (SHR: 0.90 [95% CI, 0.89-0.92]). Higher eBMD was associated with a decreased risk in all-cause, CVD, and IHD mortality, in the fully adjusted model. Higher eBMD was associated with greater aortic distensibility; associations with other CMR metrics were null. Higher heel eBMD is linked to reduced risk of a range of prevalent and incident CVD and mortality outcomes. Although observational analyses suggest associations between higher eBMD and greater aortic compliance, MR analysis did not support a causal relationship between genetically predicted BMD and CMR phenotypes. These findings support the notion that bone-cardiovascular associations reflect shared risk factors/mechanisms rather than direct causal pathways.
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Affiliation(s)
- Dorina-Gabriela Condurache
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
| | - Stefania D’Angelo
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
| | - Ahmed M Salih
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, England, United Kingdom
- Department of Computer Science, Faculty of Science, University of Zakho, Zakho 42002, Kurdistan Region, Iraq
| | - Liliana Szabo
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
- Semmelweis University, Heart and Vascular Centre, Budapest, Hungary
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, England, United Kingdom
| | - Adil Mahmood
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
| | - Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, England, United Kingdom
| | - Andre Altmann
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London WC1E 6BT, England, United Kingdom
| | - Steffen E Petersen
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
- Health Data Research UK, British Heart Foundation Data Science Centre, London NW1 2BE, England, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, England, United Kingdom
| | - Zahra Raisi-Estabragh
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
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Kong X, Xie R, Zhang D, Chen X, Wang X, Lu J, Zhao H, Liu J, Sun L, Tao B. Association of cardiovascular disease prevalence with BMD and fracture in men with T2DM. J Diabetes 2024; 16:e13530. [PMID: 38584151 PMCID: PMC10999498 DOI: 10.1111/1753-0407.13530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Patients with type 2 diabetes mellitus (T2DM) are predisposed to cardiovascular disease (CVD). Bone mineral density (BMD) is linked to CVD, but most studies focused on women. Our analysis aims to explore the association of BMD and fracture with the prevalence of CVD in men with T2DM. METHODS In this retrospective cross-sectional study, 856 men with T2DM were enrolled. BMDs at the lumbar spine (L2-4), femoral neck (FN), and total hip (TH) were measured by dual-energy X-ray absorptiometry (DXA). The CVD outcome was determined as the sum of the following conditions: congestive heart failure, coronary heart disease, angina pectoris, myocardial infarction, the requirement for coronary artery revascularization, and stroke. The relationship between BMDs and CVD was investigated by restricted cubic spline curves and logistic regression models. RESULTS A total of 163 (19.0%) patients developed CVD. The restricted cubic spline curve revealed a linear and negative association between FN-BMD, TH-BMD, and CVD. After full adjustments for confounding covariates, the odds ratios were 1.34 (95% confidence interval [CI] [1.11-1.61], p < .05), 1.3 (95% CI [1.05-1.60], p < .05), and 1.26 (95% CI [1.02-1.55], p < .05) for each 1-SD decrease in BMDs of L2-4, FN and TH, respectively. T-scores of < -1 for BMD of L2-4 and FN were independently associated with CVD (p < .05). Subgroup analyses further supported our findings. CONCLUSIONS The prevalence of CVD was inversely correlated with BMD levels in men with T2DM, particularly at the FN. We hypothesized that monitoring FN-BMD and early intervention would help reduce CVD risk in men with T2DM, especially those with hypertension.
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Affiliation(s)
- Xiao‐ke Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Rui Xie
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Deng Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiao‐jing Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiao‐feng Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jie‐li Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong‐yan Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jian‐min Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Li‐hao Sun
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Bei Tao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical GenomicsRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
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Zhang G, Wang X, Tong M, Chen J, Ji Q. U-Shaped Association of Standardized Serum 25-Hydroxyvitamin D with Risk of Low Muscle Mass: A Population-Based Cross-Sectional Study. J Multidiscip Healthc 2023; 16:2167-2177. [PMID: 37547808 PMCID: PMC10402717 DOI: 10.2147/jmdh.s420963] [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: 05/26/2023] [Accepted: 07/18/2023] [Indexed: 08/08/2023] Open
Abstract
Background In the United States (U.S.) general population, the association between standardized serum 25-hydroxyvitamin D (25(OH)D) concentration and risk of low muscle mass (LMM) remains unclear. Our research aimed to determine whether or not there was a relationship between serum 25(OH)D concentration and risk of LMM. Methods We analyzed the cross-sectional data of the US population that participated in the National Health and Nutrition Examination Survey between 2011 and 2014. The relationship between serum 25(OH)D concentration and LMM risk was evaluated using restricted cubic spline (RCS) with multivariate logistic regression model and subgroup analysis. Results In all, we included 10,256 people in our analysis. The RCS plot demonstrated a U-shaped relationship between serum 25(OH)D concentration and risk of LMM (P for nonlinearity <0.05). At a Vitamin D concentration of 38.5 nmol/L, LMM risk was at its lowest. Based on analyses stratified by age, sex, hypertension, and diabetes mellitus (DM), serum 25(OH)D concentration and risk of LMM were U-curve correlated for those age 40 or older, male, with hypertension, or without DM. However, LMM risk was positively related to serum 25(OH)D concentration in those younger than age 40 or in women. Conclusion There is a U-shaped relationship between serum 25(OH)D concentration and the risk of LMM in the general U.S. population. Careful monitoring and appropriate Vitamin D supplementation might lessen the risk of LMM.
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Affiliation(s)
- Gang Zhang
- Department of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, Anhui, 230000, People’s Republic of China
| | - Xiaotong Wang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People’s Republic of China
| | - Mingyue Tong
- Department of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, Anhui, 230000, People’s Republic of China
| | - Jian Chen
- Department of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, Anhui, 230000, People’s Republic of China
| | - Qian Ji
- Department of Emergency, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210003, People’s Republic of China
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7
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Yang Y, Huang Y. Association between bone mineral density and cardiovascular disease in older adults. Front Public Health 2023; 11:1103403. [PMID: 37427263 PMCID: PMC10328748 DOI: 10.3389/fpubh.2023.1103403] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 05/12/2023] [Indexed: 07/11/2023] Open
Abstract
Background and aims Cardiovascular disease and osteoporosis are common diseases in older adults with high morbidity. The study on the interaction between the two in pathogenic mechanisms has been paid much attention by the majority of researchers. This study aimed to explore the relationship between bone mineral density and cardiovascular disease in older adults. Methods The primary data was downloaded from the National Health and Nutrition Examination Survey database of the United States. Multivariate logistic regression model, generalized additive model, and smooth curve fitting were used to explore the relationship between bone mineral density and cardiovascular events risk. When a curve relationship was found, a two-piecewise linear model was used to calculate the inflection point. In addition, subgroup analysis was also performed. Results A total of 2097 subjects were included in this study. After adjusting for potential confounders, no significant association was found between lumbar bone mineral density and cardiovascular disease, while femur bone mineral density had a non-linear relationship with cardiovascular disease, with an inflection point of 0.741 gm/cm2. When bone mineral density was <0.741 gm/cm2, the risk of cardiovascular disease decreased speedily. Once bone mineral density exceeded this value, the risk of cardiovascular disease continued to decrease, but the trend became significantly slower. Compared with patients with normal bone mass, osteoporosis was associated with a 2.05-fold increased risk of cardiovascular disease (95% CI 1.68-5.52). There were no significant differences in interaction tests of all subgroups (p for interaction >0.05) except race. Conclusion Our results indicated that bone mineral density was closely associated with the prevalence of cardiovascular disease in older adults over 60 years old, especially the femur bone mineral density was negatively non-linear associated with cardiovascular disease risk, with an inflection point of 0.741 gm/cm2.
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