RESUMEN
Objective: This study aimed to investigate the relationships between three different nutritional indicators and poststroke depression (PSD) and to analyze the performance of these nutritional indicators in predicting the occurrence of PSD in older adults with ischemic stroke to provide a reference for nurses to identify high-risk patients with PSD early, optimize stroke management, and improve patient prognosis. Methods: This cohort study prospectively included 239 older adults with ischemic stroke in the Department of Neurology of a hospital in Shenzhen from September 2022 to May 2023. The nutritional status of the patients were evaluated by laboratory indicators, the Mini Nutritional Assessment Short Form (MNA-SF), and the Geriatric Nutrition Risk Index (GNRI). The Hospital Anxiety and Depression Scale-Depression (HADS-D) was used to evaluate PSD. A self-designed questionnaire was used to collect demographic information and disease-related information. Binary logistic regression analysis was performed to analyze factors related to PSD, and receiver operating characteristic curve analysis was also used to compare the performance of these nutritional indicators. Results: A total of 239 older adults with ischemic stroke were included; the mean age was 71.10 ± 7.41 years, and 66.5% (159/239) were males. The incidence of PSD was 32.6% (78/239). The incidence of PSD in the low-value group was significantly greater than that in the high-value group according to the different nutritional indices, and the difference was statistically significant (all P < 0.05). Binary logistic regression analysis revealed that the albumin (ALB) level (OR = 0.681; 95% CI, 0.508-0.913; P = 0.010), GNRI score (OR = 1.238; 95% CI, 1.034-1.483; P = 0.020), and MNA-SF score (OR = 0.708; 95% CI, 0.614-0.815; P < 0.001) were influencing factors for PSD in this population (P < 0.05). Combined with the ALB, GNRI, and MNA-SF, the area under the ROC curve for predicting the incidence of PSD in older adults with ischemic stroke was the largest and had a high degree of differentiation (AUC, 0.738; sensitivity, 75.6%; specificity, 60.9%). Conclusion: The nutritional indices ALB, GNRI, and MNA-SF can be used as auxiliary tools to predict the risk of PSD in older adults with ischemic stroke malnutrition. Further validation by nurses in a more diverse patient population is needed to demonstrate the accuracy of the predictions.
RESUMEN
BACKGROUND AND AIMS: Numerous research have focused on the relationship of metabolic markers and stroke risk, yet limited research has focused on the triglyceride glucose-waist circumference (TyG-WC) index. This study explored the possible association of TyG-WC and stroke among moderately aged and old Chinese adults over 45 years of age. METHODS: This observational cohort analysis involved 9054 participants from the Chinese Longitudinal Study of Health and Retirement and employed a standardized questionnaire administered via in-person interviews. Cox proportional hazard model, smoothed curve fitting, and threshold effect analysis were conducted for examining the potential nonlinear relationships among TyG-WC and stroke risk. RESULTS: Within an average follow-up period of six years, 463 new strokes occurred, representing 5.11% of the total number of patients. After adjusting for possible confounding factors, a nonlinear association between TyG-WC and stroke risk was identified, with a significant dose-response relationship (P = 0.023 for the log-likelihood ratio test). A turning point was identified at the TyG-WC level of 554.48, beyond that the likelihood of stroke increased markedly (HR = 1.323, 95% CI = 1.098-1.594, P = 0.003). CONCLUSION: This study revealed a specific curvilinear association with the TyG-WC score and stroke risk, identifying a key threshold value. This study focused on Chinese middle-aged and senior adults over the age of 45, emphasizing that increased stroke risk is linked to higher TyG-WC levels.
Asunto(s)
Glucemia , Accidente Cerebrovascular , Triglicéridos , Circunferencia de la Cintura , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Glucemia/metabolismo , China/epidemiología , Estudios Longitudinales , Modelos de Riesgos Proporcionales , Estudios Prospectivos , Factores de Riesgo , Accidente Cerebrovascular/sangre , Accidente Cerebrovascular/epidemiología , Triglicéridos/sangre , Pueblos del Este de AsiaRESUMEN
Background: Although studies have explored the association between triglyceride levels and cognitive function after acute ischemic stroke (AIS), the results have been conflicting. Therefore, the purpose of this study was to investigate the relationship between triglyceride levels and cognitive function after AIS among older adults. Methods: This is an observational cross-sectional study. From November 2022 to June 2023, we consecutively collected patients diagnosed with AIS in China. Triglyceride levels were measured within 24 h of admission. The Mini-Mental State Examination (MMSE) was used to assess cognitive function. Nonlinear associations between triglyceride levels and cognitive function were assessed using smooth curve fitting and threshold effect analysis. Results: In this study, a total of 221 patients (mean ± SD: 70.64 ± 7.43 years) with AIS were consecutively recruited, among whom 144 (65.16%) were male. Among the 221 recruited patients, 102 (46.15%) had cognitive impairment. Triglyceride levels and cognitive impairment were found to have a nonlinear association after controlling for potential confounders, with an inflection point at 0.8 mmol/L. Below the inflection point, triglyceride levels were positively correlated with MMSE scores (ß = 14.11, 95% confidence interval [CI] = 2.33-25.89, P = 0.020). However, above the inflection point, the correlation between MMSE score and triglyceride levels was not statistically significant (ß = 1.04, 95% CI = -1.27 - 3.34, P = 0.380). Conclusion: There is a nonlinear association between triglyceride levels and cognitive function after AIS in older adults. Triglyceride was positively connected with cognitive function when it was less than 0.8 mmol/L.