Zemedu Ferede , Arpita Das , Silvia Manzanero , Vignesh Raman , Michael Schuetz , Dylan Flaws
{"title":"出院严重创伤患者健康相关生活质量的预测因素系统回顾和荟萃分析","authors":"Zemedu Ferede , Arpita Das , Silvia Manzanero , Vignesh Raman , Michael Schuetz , Dylan Flaws","doi":"10.1016/j.jcot.2025.103102","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Despite advances in trauma systems that improve survival, long-term recovery outcomes, such as health-related quality of life (HRQOL), are often overlooked. Identifying the factors that predict post-discharge HRQOL can help guide personalized care and prioritize patients who need post-discharge follow-up. This review aimed to synthesize evidence on predictors of post-discharge HRQOL among major trauma patients.</div></div><div><h3>Methods</h3><div>This review was registered with PROSPERO (CRD42024512689) and conducted using searches across databases including PubMed, Embase, Scopus, Cochrane Library, and CINAHL. The Quality in Prognosis Studies (QUIPS) was used to assess risk of bias. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was applied to assess quality of evidence. The meta-analysis was performed to evaluate the effect of predictor variables on the HRQOL using Stata v-17.</div></div><div><h3>Results</h3><div>Seventeen studies were included (n = 14 prospective, n = 3 retrospective cohort studies), and 7 of these were incorporated into the meta-analysis. The overall risk of bias was moderate in most studies. Older age predicts lower EuroQol 5-Dimensions (EQ-5D) and lower Short Form 36 Health Survey (SF-36) Physical Component Score (PCS), while it predicts a higher SF-36 Mental Component Score (MCS). Meta-analysis showed that female sex predicted lower SF-36-MCS and lower EQ-5D. A lower American Society of Anesthesiology (ASA) score predicted lower EQ-5D, while psychiatric comorbidity predicted lower SF-36-MCS. Higher Injury Severity Score (ISS) predicted poor HRQOL, but not SF-36-MCS and PCS. Traumatic Brain Injury (TBI) predicted poor SF-36-MCS, but other injury locations did not predict long-term HRQOL. While the length of hospital stay showed no predictive effect, most hospital-related factors were reported in only a single study.</div></div><div><h3>Conclusion</h3><div>Predischarge factors, such as age, sex, preexisting conditions, and injury severity, are significant predictors of poor long-term HRQOL. Knowledge of these predischarge factors is important to improve long-term outcomes. Additional research should include hospital treatment and diagnostic factors.</div></div>","PeriodicalId":53594,"journal":{"name":"Journal of Clinical Orthopaedics and Trauma","volume":"69 ","pages":"Article 103102"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictors of health-related quality of life among major trauma patients discharged from hospitals. A systematic review and meta-analysis\",\"authors\":\"Zemedu Ferede , Arpita Das , Silvia Manzanero , Vignesh Raman , Michael Schuetz , Dylan Flaws\",\"doi\":\"10.1016/j.jcot.2025.103102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Despite advances in trauma systems that improve survival, long-term recovery outcomes, such as health-related quality of life (HRQOL), are often overlooked. Identifying the factors that predict post-discharge HRQOL can help guide personalized care and prioritize patients who need post-discharge follow-up. This review aimed to synthesize evidence on predictors of post-discharge HRQOL among major trauma patients.</div></div><div><h3>Methods</h3><div>This review was registered with PROSPERO (CRD42024512689) and conducted using searches across databases including PubMed, Embase, Scopus, Cochrane Library, and CINAHL. The Quality in Prognosis Studies (QUIPS) was used to assess risk of bias. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was applied to assess quality of evidence. The meta-analysis was performed to evaluate the effect of predictor variables on the HRQOL using Stata v-17.</div></div><div><h3>Results</h3><div>Seventeen studies were included (n = 14 prospective, n = 3 retrospective cohort studies), and 7 of these were incorporated into the meta-analysis. The overall risk of bias was moderate in most studies. Older age predicts lower EuroQol 5-Dimensions (EQ-5D) and lower Short Form 36 Health Survey (SF-36) Physical Component Score (PCS), while it predicts a higher SF-36 Mental Component Score (MCS). Meta-analysis showed that female sex predicted lower SF-36-MCS and lower EQ-5D. A lower American Society of Anesthesiology (ASA) score predicted lower EQ-5D, while psychiatric comorbidity predicted lower SF-36-MCS. Higher Injury Severity Score (ISS) predicted poor HRQOL, but not SF-36-MCS and PCS. Traumatic Brain Injury (TBI) predicted poor SF-36-MCS, but other injury locations did not predict long-term HRQOL. While the length of hospital stay showed no predictive effect, most hospital-related factors were reported in only a single study.</div></div><div><h3>Conclusion</h3><div>Predischarge factors, such as age, sex, preexisting conditions, and injury severity, are significant predictors of poor long-term HRQOL. Knowledge of these predischarge factors is important to improve long-term outcomes. Additional research should include hospital treatment and diagnostic factors.</div></div>\",\"PeriodicalId\":53594,\"journal\":{\"name\":\"Journal of Clinical Orthopaedics and Trauma\",\"volume\":\"69 \",\"pages\":\"Article 103102\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Orthopaedics and Trauma\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0976566225002000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Orthopaedics and Trauma","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0976566225002000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Predictors of health-related quality of life among major trauma patients discharged from hospitals. A systematic review and meta-analysis
Background
Despite advances in trauma systems that improve survival, long-term recovery outcomes, such as health-related quality of life (HRQOL), are often overlooked. Identifying the factors that predict post-discharge HRQOL can help guide personalized care and prioritize patients who need post-discharge follow-up. This review aimed to synthesize evidence on predictors of post-discharge HRQOL among major trauma patients.
Methods
This review was registered with PROSPERO (CRD42024512689) and conducted using searches across databases including PubMed, Embase, Scopus, Cochrane Library, and CINAHL. The Quality in Prognosis Studies (QUIPS) was used to assess risk of bias. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was applied to assess quality of evidence. The meta-analysis was performed to evaluate the effect of predictor variables on the HRQOL using Stata v-17.
Results
Seventeen studies were included (n = 14 prospective, n = 3 retrospective cohort studies), and 7 of these were incorporated into the meta-analysis. The overall risk of bias was moderate in most studies. Older age predicts lower EuroQol 5-Dimensions (EQ-5D) and lower Short Form 36 Health Survey (SF-36) Physical Component Score (PCS), while it predicts a higher SF-36 Mental Component Score (MCS). Meta-analysis showed that female sex predicted lower SF-36-MCS and lower EQ-5D. A lower American Society of Anesthesiology (ASA) score predicted lower EQ-5D, while psychiatric comorbidity predicted lower SF-36-MCS. Higher Injury Severity Score (ISS) predicted poor HRQOL, but not SF-36-MCS and PCS. Traumatic Brain Injury (TBI) predicted poor SF-36-MCS, but other injury locations did not predict long-term HRQOL. While the length of hospital stay showed no predictive effect, most hospital-related factors were reported in only a single study.
Conclusion
Predischarge factors, such as age, sex, preexisting conditions, and injury severity, are significant predictors of poor long-term HRQOL. Knowledge of these predischarge factors is important to improve long-term outcomes. Additional research should include hospital treatment and diagnostic factors.
期刊介绍:
Journal of Clinical Orthopaedics and Trauma (JCOT) aims to provide its readers with the latest clinical and basic research, and informed opinions that shape today''s orthopedic practice, thereby providing an opportunity to practice evidence-based medicine. With contributions from leading clinicians and researchers around the world, we aim to be the premier journal providing an international perspective advancing knowledge of the musculoskeletal system. JCOT publishes content of value to both general orthopedic practitioners and specialists on all aspects of musculoskeletal research, diagnoses, and treatment. We accept following types of articles: • Original articles focusing on current clinical issues. • Review articles with learning value for professionals as well as students. • Research articles providing the latest in basic biological or engineering research on musculoskeletal diseases. • Regular columns by experts discussing issues affecting the field of orthopedics. • "Symposia" devoted to a single topic offering the general reader an overview of a field, but providing the specialist current in-depth information. • Video of any orthopedic surgery which is innovative and adds to present concepts. • Articles emphasizing or demonstrating a new clinical sign in the art of patient examination is also considered for publication. Contributions from anywhere in the world are welcome and considered on their merits.