Development and Validation of a Risk Prediction Model for Depression in Patients with Stroke

Archives of Clinical Neuropsychology, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Stroke is the third leading cause of death and disability worldwide in 2019. In stroke patients, about one-third or more are affected by depression, which makes it a serious social public health problem. This study aims to create validate nomogram for early prediction identification depression patients. Cross-sectional data from 605 survivors aged 60 over CHARLS 2011, 2015 was used. Participants were split into training testing groups. Predictive factors identified using Least Absolute Shrinkage Selection Operator (LASSO) multivariable logistic regression, creation model. The model's performance assessed with Receiver Operating Characteristic (ROC) curves, Concordance Index (C-index), calibration plots, Decision Curve Analysis (DCA). It Activities Daily Living (ADL), Instrumental (IADL), sleep hours, uric acid, Triglyceride-Glucose-Body Mass (TyG-BMI) as risk post-stroke, integrated final nomogram's predictive deemed acceptable, ROC curve values 0.7512 (95% CI: 0.705-0.798) set 0.723 0.65-0.797) set. confirmed accuracy, DCA showed had clinical utility. Five key chosen predicting demonstrates evaluation serves tool forecasting this population.

Language: Английский

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Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 8, 2025

The triglyceride-glucose (TyG) index, renowned for its efficacy and convenience in assessing insulin resistance, has been validated as a reliable indicator various cardiovascular conditions. current study aims clarifying the link of TyG with incidences prognoses cardiac arrest (CA) following acute myocardial infarction (AMI). Our analysis is multicenter, retrospective utilizing data from Medical Information Mart Intensive Care IV eICU Collaborative Research Database. Patients AMI whom could be calculated within first 24 h after admission were included. main endpoints in-hospital ICU mortalities. Correlations between outcomes evaluated using logistic regression models, restricted cubic splines (RCS), well correlation linear analyses. Overlap weighting (OW), inverse probability treatment (IPTW), propensity score matching (PSM) methodologies utilized to balance cohorts, thereby minimizing potential biases. Subgroup analyses performed accordance identified modifiers. In total, 5208 individuals diagnosed AMI, among 371 developed CA, ultimately Higher levels observed populations CA compared those without [9.2 (8.7–9.7) vs. 9.0 (8.5–9.4)], demonstrated moderate discriminatory capacity identifying occurrences entire populations. Multivariate regressions revealed serves significant risk both (OR 1.711) mortalities 1.520) AMI-CA patients, it also associated prolonged LOSs. RCS confirmed relationships ascending increased mortality risks (P nonlinearity: 0.592 0.816, respectively), which persisted PSM, OW, IPTW adjustments. further strong rates elders, females, BMI < 28 kg/m2, hypertension. Elevated found apparently correlate higher prevalence adverse regarding patients AMI. findings point fresh insight into significance critically ill coronary

Language: Английский

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Association between triglyceride-glucose index and its combination with obesity indicators and depression: findings from NHANES 2005–2020

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16

Published: March 10, 2025

Background The relationship between the triglyceride-glucose (TyG) index, its combination with obesity indicators, and depression remains understudied in American population. Methods This cross-sectional study analyzed data from 10,423 adults National Health Nutrition Examination Survey (NHANES) conducted 2005 2020. We employed multivariable logistic regression analysis, smoothing techniques, generalized additive models, stratified analyses, sensitivity analyses to examine TyG, (TyG-WC, TyG-WHtR, TyG-BMI) depression. Results results indicate that TyG TyG-WC, TyG-BMI, exhibited a significant statistical association depressive symptoms (all P for trend &lt; 0.001). Specifically, one-unit increase index correlated 37% risk of (95% CI: 1.21–1.55), TyG-WC 3.26 times 2.22–4.80), TyG-WHtR 27% 1.18–1.36), TyG-BMI 2.30 1.72–3.08). There was nonlinear correlation nonlinearity 0.001), except linear (P linearity Conclusion Monitoring may facilitate assessment prevention.

Language: Английский

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Associations of cMIND Diet with depressive and anxiety symptoms among old people in China: a nationwide study

European Journal of Nutrition, Journal Year: 2025, Volume and Issue: 64(3)

Published: March 12, 2025

Language: Английский

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Machine learning study on predicting depressive symptoms and genetic correlations in Parkinson’s disease

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: April 9, 2025

Depressive symptoms are prevalent in individuals with Parkinson's disease. Previous research has demonstrated a significant association between the triglyceride glucose (TyG) index and depression. Leveraging multicenter clinical data, present study evaluates predictive capacity of TyG for depressive PD patients, aiming to establish its potential role identifying at risk A comparative analysis multiple machine learning models was conducted predict depression ultimately selecting most effective model. Key variables, including diabetes status, sex, cholesterol levels, triglycerides, blood glucose, sleep disturbances, were incorporated into support vector (SVM)-based nomogram assess patients. Additionally, genome-wide (GWAS) utilizing external databases confirmed causal relationship Furthermore, this explores biological functions molecular mechanisms underlying shared transcriptomic proteins depression, providing insights pathophysiological links two conditions.

Language: Английский

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A novel sex-specific association between insulin resistance and depressive symptoms in older adults: The potential mediating role of Vascular Endothelial Growth Factor

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 382, P. 194 - 200

Published: April 22, 2025

Language: Английский

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