Development and validation of a risk prediction model for osteoporosis in elderly patients with type 2 diabetes mellitus: a retrospective and multicenter study DOI Creative Commons
Juntao Tan, Zhengyu Zhang, Yuxin He

и другие.

BMC Geriatrics, Год журнала: 2023, Номер 23(1)

Опубликована: Окт. 27, 2023

This study aimed to construct a risk prediction model estimate the odds of osteoporosis (OP) in elderly patients with type 2 diabetes mellitus (T2DM) and evaluate its efficiency.This included 21,070 T2DM who were hospitalized at six tertiary hospitals Southwest China between 2012 2022. Univariate logistic regression analysis was used screen for potential influencing factors OP least absolute shrinkage. Further, selection operator (LASSO) multivariate analyses performed select variables developing novel predictive model. The area under receiver operating characteristic curve (AUROC), calibration curve, decision (DCA), clinical impact (CIC) performance utility model.The incidence 7.01% (1,476/21,070). Age, sex, hypertension, coronary heart disease, cerebral infarction, hyperlipidemia, surgical history factors. seven-variable displayed an AUROC 0.713 (95% confidence interval [CI]:0.697-0.730) training set, 0.716 CI: 0.691-0.740) internal validation 0.694 0.653-0.735) external set. optimal probability cut-off value 0.075. (bootstrap = 1,000) showed good calibration. In addition, DCA CIC demonstrated practicality. An interface on webpage ( https://juntaotan.shinyapps.io/osteoporosis/ ) developed provide convenient access users.This constructed highly accurate predict T2DM. incorporates demographic characteristics may be easily facilitate individualized prediction.

Язык: Английский

Association between bone mineral density and cardiovascular disease in older adults DOI Creative Commons
Yulu Yang, Yun-Ju Huang

Frontiers in Public Health, Год журнала: 2023, Номер 11

Опубликована: Июнь 23, 2023

Background and aims Cardiovascular disease osteoporosis are common diseases in older adults with high morbidity. The study on the interaction between two pathogenic mechanisms has been paid much attention by majority of researchers. This aimed to explore relationship bone mineral density cardiovascular adults. Methods primary data was downloaded from National Health Nutrition Examination Survey database United States. Multivariate logistic regression model, generalized additive smooth curve fitting were used events risk. When a found, two-piecewise linear model calculate inflection point. In addition, subgroup analysis also performed. Results A total 2097 subjects included this study. After adjusting for potential confounders, no significant association found lumbar disease, while femur had non-linear an point 0.741 gm/cm 2 . <0.741 , risk decreased speedily. Once exceeded value, continued decrease, but trend became significantly slower. Compared patients normal mass, associated 2.05-fold increased (95% CI 1.68–5.52). There differences tests all subgroups ( p >0.05) except race. Conclusion Our results indicated that closely prevalence over 60 years old, especially negatively risk,

Язык: Английский

Процитировано

19

Osteoporosis and coronary heart disease: a bi-directional Mendelian randomization study DOI Creative Commons
He Zhang,

Pai Xu,

Rongcan Liu

и другие.

Frontiers in Endocrinology, Год журнала: 2024, Номер 15

Опубликована: Май 22, 2024

Background Osteoporosis (OP) and cardiovascular disease (CVD) are major global public health issues, especially exacerbated by the challenges of an aging population. As these problems intensify, associated burden on is expected to increase significantly. Despite extensive epidemiological investigations into potential association between OP CVD, establishing a clear causal relationship remains elusive. Methods Instrumental variables were selected from summary statistics IEU GWAS database. Five different components BMD (heel BMD, LS FA FN TB BMD) used as phenotypes. CHD, MI, stroke represent CVD. Multiple analysis methods evaluate CVD comprehensively. In addition, sensitivity analyses(Cochran’s Q test, MR-Egger intercept “leave one out” analysis) performed verify reliability results. Results The MR showed significant CHD heel BMD; in reverse analysis, there was no evidence that has effect results confirmed through analysis. Conclusion study revealed causally with Heel while not supported. This result posits etiological factor for prompts routine bone density assessment at traditional sites (forearm, femoral neck, lumbar spine) using DAX may inadequately discern underlying osteoporosis issues patients. recommendation synergistically incorporate ultrasound or total body examinations, ensuring clinical diagnostics both precise reliable. Moreover, findings provide valuable insights health, contributing development pertinent prevention treatment strategies.

Язык: Английский

Процитировано

3

Association between dietary copper, iron, zinc, selenium intake and osteopenia or osteoporosis in elderly hypertensive patients: a retrospective cohort study DOI Creative Commons
Mingji Chen,

Long Jia,

Rufeng Gao

и другие.

Frontiers in Nutrition, Год журнала: 2024, Номер 11

Опубликована: Авг. 14, 2024

Aim The study aimed to investigate the link between dietary copper, iron, zinc, selenium intake with osteopenia and osteoporosis in elderly hypertensive patients. Methods data of patients were extracted from National Health Nutrition Examination Survey 2005–2010, 2013–2014, 2017–2018. Data copper intakes obtained according 24-h diet recall interviews. Osteopenia determined based on bone mineral density. Weighted liner regression weighted logistic employed assess association osteoporosis. All results presented as β, odds ratios (ORs), 95% confidence intervals (CIs). Results In total, 5,286 included. Among them, 2,961 (56.02%) have osteopenia, 566 (10.71%) After adjusting all covariates, ≥the recommended daily allowance was positively correlated density total femur (β = 0.086, CI: 0.021–0.152) femoral neck 0.097, 0.016–0.178). Dietary zinc also 0.092, 0.030–0.153) 0.122, 0.050–0.193). (O 0.581, 0.394–0.858) (OR 0.595, 0.429–0.827) levels related increased hypertension. Conclusion Higher associated lower included may be beneficial for health

Язык: Английский

Процитировано

3

Neoandrographolide inhibits mature osteoclast differentiation to alleviate bone loss and treat osteoporosis DOI Creative Commons
Kai Dun Tang, Wei Deng, Zhiying Huang

и другие.

Frontiers in Pharmacology, Год журнала: 2025, Номер 16

Опубликована: Фев. 11, 2025

Background Osteoporosis (OP), as the prevalent systemic metabolic bone disease worldwide, progresses insidiously and slowly. The clinical discomfort complications associated with OP impose a significant burden on patients. Therefore, finding more effective treatments for remains an urgent challenge. Method We first conducted in vitro experiments to determine whether Neoandrographolide (NEO) exhibits cytotoxic or proliferative effects marrow macrophages (BMMs) explore specific timeframe during which NEO exerts its inhibitory action osteoclast (OC) differentiation. Through Reverse Transcription Polymerase Chain Reaction (RT-PCR) Western blot analysis, we examined relative expression levels of genes proteins OC differentiation like CTSK,c-Fos,MMP9,NFATc1, verified underlying mechanisms. Finally, performed vivo further investigate inflammation. Results no BMMs at concentrations less than equal 30 μM while exerting early middle stages. RT-PCR results reveal that suppresses including CTSK,c-Fos,MMP9,NFATc1. findings also indicate inhibits phosphorylation ERK, P38, JNK, P65 but does not reverse degradation IκB-α. Additionally, affects PI3K/AKT, GSK3β, PPARγ signaling pathways, demonstrating can inhibit formation through multiple pathways targets. In validated by constructing model, showing mitigate loss induced Conclusion has potential serve therapeutic agent targeting sites inhibiting mature various pathways.

Язык: Английский

Процитировано

0

Ten-year atherosclerotic cardiovascular disease risk score in post-menopausal women with low bone mineral density DOI Creative Commons
Kaiser Wani, Shaun Sabico, Nicola Veronese

и другие.

Aging Clinical and Experimental Research, Год журнала: 2025, Номер 37(1)

Опубликована: Фев. 27, 2025

Abstract Background Reports on the association between cardiovascular disease (CVD) risk and bone mineral density (BMD) remain inconsistent hence more population-based studies this subject are needed. Aims This cross-sectional study aimed to evaluate at lumbar spine (L1-L4) femoral neck (right left) with 10-year atherosclerotic (ASCVD) scores in Saudi postmenopausal women. Methods A cohort of 1,450 women factors for loss were analyzed using data from Chair Biomarkers Chronic Diseases (CBCD) Osteoporosis database. BMD was assessed dual-energy X-ray absorptiometry (DXA). Anthropometric biochemical parameters, including fasting glucose lipid profiles, measured. ASCVD calculated Risk Estimator Plus tool. tertiles their risk. Results Women osteoporosis had significantly lower BMI, waist hip circumferences, metabolic dysfunction markers compared those normal BMD. Significant negative correlations observed sites osteopenia osteoporosis. Multivariate logistic regression indicated that lowest higher odds intermediate high scores, adjusted ratios 1.90 spine, 2.19 right neck, 2.04 left neck. Conclusions The identified significant associations elevated women, particularly among These findings demonstrate importance assessing low enable early prevention management strategies.

Язык: Английский

Процитировано

0

Computed tomography provides a “one-stop-shop” targeted analysis for coronary artery calcification and osteoporosis: a review DOI Creative Commons

Jing Luo,

Qian Wang, Wenhong Liu

и другие.

Frontiers in Endocrinology, Год журнала: 2025, Номер 16

Опубликована: Фев. 28, 2025

The global trend towards longer lifespans has led to an aging population and a rise in the prevalence of diseases that predominantly affect elderly people. Coronary artery calcification (CAC) osteoporosis (OP) are common populations. CT scans provide reliable method assess monitor progression these diseases. In this review, relationship between OP CAC terms pathophysiological mechanism, comorbidity risk factors clinical manifestations is reviewed, with focus on advancements imaging, applications possibility for “one-stop-shop” examination.

Язык: Английский

Процитировано

0

Association of the weight-adjusted waist index with mortality in osteoporotic patients DOI
Qian Lyu, Linxiao Ma, Huijie Liu

и другие.

Journal of Bone and Mineral Metabolism, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Язык: Английский

Процитировано

0

Development and evaluation of a machine learning model for osteoporosis risk prediction in Korean women DOI Creative Commons
Minkyung Je, Seunghyeon Hwang, Suwon Lee

и другие.

BMC Women s Health, Год журнала: 2025, Номер 25(1)

Опубликована: Март 28, 2025

The aim of this study was to develop a machine learning (ML) model for classifying osteoporosis in Korean women based on large-scale population cohort study. This also aimed assess ML performance compared with traditional screening tools. Furthermore, examine the factors influencing risk through variable importance. Data collected from 4199 aged 40-69 years baseline survey Ansan and Ansung Genome Epidemiology Study. Osteoporosis set as dependent classification models. Independent variables included 122 related risk, such socio-demographic characteristics, anthropometric parameters, lifestyle factors, reproductive nutrient intakes, diet quality indices, medical history, medication family biochemical genetic factors. six models were developed using techniques, including decision tree, random forest, multilayer perceptron, support vector machine, light gradient boosting extreme (XGBoost). two tools, assessment instrument (ORAI) self-assessment tool (OST). performances evaluated confusion matrix area under curve (AUC) metrics. Variable importance assessed XGBoost technique investigate showed highest out models, an accuracy 0.705, precision 0.664, recall 0.830, F1 score 0.738. Moreover, higher AUC than ORAI OST. scores identified 69 associated Age at menopause ranked first Variables arthritis, physical activities, hypertension, education level, income level; alcohol intake, potassium homeostatic insulin resistance; energy vitamin C gout; dietary inflammatory index top 20 variables, technique. found that can be utilized classify women. is significant factor followed by level.

Язык: Английский

Процитировано

0

A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations DOI
Pavithra Nagarajan, Thomas W. Winkler, Amy R. Bentley

и другие.

Molecular Psychiatry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

0

Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort DOI Creative Commons
Xinning Tong, Shengjie Cui, Huiyong Shen

и другие.

BMC Public Health, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 3, 2025

Abstract Background Osteoporosis is a prevalent bone disease that increases frailty. Developing nomogram prediction model to predict osteoporosis risk at multiple time points using mineral densities, behavioral habits, and clinical factors would be essential identify individual guide prevention. Methods The study population from the UK Biobank was followed 2014 December 31st, 2022. outcome identified as first occurrence of in during follow-up period. After rebalancing with synthetic minority over-sampling technique, developed LASSO Cox regression. Model discrimination between different levels visualised Kaplan-Meier curves, performance evaluated integrated c-index, time-dependent AUC, calibration curves decision curve analysis (DCA). Results several for osteoporosis, including higher age, underweight, various (such menopause, lower hand grip strength, density, fracture history within 5 years, chronic hypercholesterolemia, cardiovascular disease, arthritis, cancer). showed predicted by were significantly distinct. c-indexes 0.844 0.823 training validation datasets, respectively. Time-dependent DCA indicated good discrimination, fit utility, Conclusions could properly quantify five-year high-risk individuals. This might effectively reduce burden on population.

Язык: Английский

Процитировано

0