K K Lim1, D B Matchar2,3, J L Chong2, W Yeo4, T S Howe5,6, J S B Koh5,6. 1. Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Republic of Singapore. limkk@u.duke.nus.edu. 2. Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Republic of Singapore. 3. Department of Medicine (General Internal Medicine), Duke University Medical Center, Durham, NC, USA. 4. Orthopaedic Diagnostic Centre, Department of Orthopaedic Surgery, Singapore General Hospital, Singapore, Republic of Singapore. 5. Department of Orthopaedic Surgery, Singapore General Hospital, Singapore, Republic of Singapore. 6. Duke-NUS Medical School, Singapore, Republic of Singapore.
Abstract
INTRODUCTION: To identify, organize, and assess the evidence level of pre-discharge prognostic factors of physical function beyond discharge after hip fracture surgery. METHODS: We performed a systematic search of four databases (PubMed, Embase, CINAHL, PsycINFO) for longitudinal studies of prognostic factors of physical function at ≥ 1 month among older adults ≥ 50 years old with surgically treated hip fracture, complemented with hand-searching. Two reviewers independently screened papers for inclusion and assessed the quality of all the included papers using the Quality in Prognosis Studies (QUIPS) tool. We assigned the evidence level for each prognostic factor based on consistency in findings and study quality. RESULTS: From 98 papers that met our inclusion criteria, we identified 107 pre-discharge prognostic factors and organized them into the following seven categories: demographic, physical, cognitive, psychosocial, socioeconomic, injury-related, and process of care. Potentially modifiable factors with strong or moderate evidence of an association included total length of stay, physical function at discharge, and grip strength. Factors with strong or moderate evidence of no association included gender, fracture type, and time to surgery. Factors with limited, conflicting, or inconclusive evidence included body-mass index, psychological resilience, depression, and anxiety. CONCLUSIONS: Our findings highlight potentially modifiable prognostic factors that could be targeted and non-modifiable prognostic factors that could be used to identify patients who may benefit from more intensive intervention or to advise patients on their expectations on recovery. Examining the efficacies of existing interventions targeting these prognostic factors would inform future studies and whether any of such interventions could be incorporated into clinical practice.
INTRODUCTION: To identify, organize, and assess the evidence level of pre-discharge prognostic factors of physical function beyond discharge after hip fracture surgery. METHODS: We performed a systematic search of four databases (PubMed, Embase, CINAHL, PsycINFO) for longitudinal studies of prognostic factors of physical function at ≥ 1 month among older adults ≥ 50 years old with surgically treated hip fracture, complemented with hand-searching. Two reviewers independently screened papers for inclusion and assessed the quality of all the included papers using the Quality in Prognosis Studies (QUIPS) tool. We assigned the evidence level for each prognostic factor based on consistency in findings and study quality. RESULTS: From 98 papers that met our inclusion criteria, we identified 107 pre-discharge prognostic factors and organized them into the following seven categories: demographic, physical, cognitive, psychosocial, socioeconomic, injury-related, and process of care. Potentially modifiable factors with strong or moderate evidence of an association included total length of stay, physical function at discharge, and grip strength. Factors with strong or moderate evidence of no association included gender, fracture type, and time to surgery. Factors with limited, conflicting, or inconclusive evidence included body-mass index, psychological resilience, depression, and anxiety. CONCLUSIONS: Our findings highlight potentially modifiable prognostic factors that could be targeted and non-modifiable prognostic factors that could be used to identify patients who may benefit from more intensive intervention or to advise patients on their expectations on recovery. Examining the efficacies of existing interventions targeting these prognostic factors would inform future studies and whether any of such interventions could be incorporated into clinical practice.
Authors: Johannes Gleich; Evi Fleischhacker; Katherine Rascher; Thomas Friess; Christian Kammerlander; Wolfgang Böcker; Benjamin Bücking; Ulrich Liener; Michael Drey; Christine Höfer; Carl Neuerburg Journal: J Clin Med Date: 2021-11-23 Impact factor: 4.241