Background And Purpose: Prediction of outcome after stroke rehabilitation may help clinicians in decision-making and planning rehabilitation care. We developed and validated a predictive tool to estimate the probability of achieving improvement in physical functioning (model 1) and a level of independence requiring no more than supervision (model 2) after stroke rehabilitation.
Methods: The models were derived from 717 patients admitted for stroke rehabilitation. We used multivariable logistic regression analysis to build each model. Then, each model was prospectively validated in 875 patients.
Results: Model 1 included age, time from stroke occurrence to rehabilitation admission, admission motor and cognitive Functional Independence Measure scores, and neglect. Model 2 included age, male gender, time since stroke onset, and admission motor and cognitive Functional Independence Measure score. Both models demonstrated excellent discrimination. In the derivation cohort, the area under the curve was 0.883 (95% confidence intervals, 0.858-0.910) for model 1 and 0.913 (95% confidence intervals, 0.884-0.942) for model 2. The Hosmer-Lemeshow χ was 4.12 (=0.249) and 1.20 (=0.754), respectively. In the validation cohort, the area under the curve was 0.866 (95% confidence intervals, 0.840-0.892) for model 1 and 0.850 (95% confidence intervals, 0.815-0.885) for model 2. The Hosmer-Lemeshow χ was 8.86 (=0.115) and 34.50 (=0.001), respectively. Both improvement in physical functioning (hazard ratios, 0.43; 0.25-0.71; =0.001) and a level of independence requiring no more than supervision (hazard ratios, 0.32; 0.14-0.68; =0.004) were independently associated with improved 4-year survival. A calculator is freely available for download at https://goo.gl/fEAp81.
Conclusions: This study provides researchers and clinicians with an easy-to-use, accurate, and validated predictive tool for potential application in rehabilitation research and stroke management.
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http://dx.doi.org/10.1161/STROKEAHA.117.018058 | DOI Listing |
Br J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
The Cardiology Department of Shanxi Provincial People's Hospital, Shanxi Medical University, Taiyuan, Shanxi, China.
Research evidence has demonstrated a significant association between hypertrophic cardiomyopathy (HCM) and atrial fibrillation (AF), but the causality and pattern of this link remain unexplored. Therefore, this study investigated the causal relationship between HCM and AF using a two-sample and bidirectional Mendelian randomization (MR) approach. Additionally, this assessed the role of cardiovascular proteins (CPs) associated with cardiovascular diseases between HCM and AF by applying a two-step MR analysis.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Epidemiological studies indicate that the involvement of the immune system in the pathogenesis of infections associated with chronic obstructive pulmonary disease (COPD), asthma, and interstitial lung disease (ILD) remains unclear. This study aims to assess the potential causal link between infections associated with COPD, asthma, or ILD and immune system function. We conducted a two-sample Mendelian randomization analysis using publicly available genome-wide association study (GWAS) datasets.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
The relationship between retinal fundus hemorrhage and the severity of coronary artery lesions remains unclear. This study aimed to explore the incidence of fundus hemorrhage in patients at high risk of coronary heart disease (CHD) and to examine its correlation with the SYNTAX score, a tool used to assess the complexity of coronary artery disease. This retrospective study consecutively enrolled patients undergoing coronary angiography (CAG) at Beijing Anzhen Hospital Hospital from June 2019 to January 2020.
View Article and Find Full Text PDFJ Integr Neurosci
January 2025
Department of Child Health, Qingdao Huangdao District Central Hospital, 266555 Qingdao, Shandong, China.
Background: Autism spectrum disorder (ASD) has been reported to confer an increased risk of natural premature death. Telomere erosion caused by oxidative stress is a common consequence in age-related diseases. However, whether telomere length (TL) and oxidative indicators are significantly changed in ASD patients compared with controls remains controversial.
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