Mohammad Sohrab Hossain1,2, Lisa A Harvey3, Md Shofiqul Islam1, Md Akhlasur Rahman1, Joanne V Glinsky2, Robert D Herbert4. 1. Centre for the Rehabilitation of the Paralysed, Savar, Bangladesh. 2. John Walsh Centre for Rehabilitation Research, Sydney Medical School/Northern, University of Sydney, Sydney, NSW, Australia. 3. John Walsh Centre for Rehabilitation Research, Sydney Medical School/Northern, University of Sydney, Sydney, NSW, Australia. l.harvey@usyd.edu.au. 4. Neuroscience Research Australia (NeuRA), Randwick, Sydney, NSW, Australia.
Abstract
STUDY DESIGN: Mixed retrospective and prospective cohort study. OBJECTIVES: To determine 5-year survival after hospitalisation with spinal cord injury (SCI) in Bangladesh and to develop a prediction model to identify people at high risk of dying within 5 years. SETTING: Bangladesh. METHODS: Medical records were used to identify people with SCI admitted to a hospital in Bangladesh in 2011. Participants or their family members were contacted >5 years after discharge to determine vital status or date of death. Survival from time of discharge was estimated with Kaplan-Meier curves. A linear model of the log odds of death within 5 years of discharge was constructed and internally validated. RESULTS: Of the 345 people who were admitted and survived to discharge in 2011, 342 (99%) were accounted for 5 years later: 74 (22%) had died (survival = 78%; 95% CI 74-82%). Sixty nine of the 223 participants who were wheelchair-dependent at discharge had died (survival = 69%; 95% CI 62-75%). A parsimonious model predicted survival as a function of age and mode of mobility at discharge (wheelchair-dependent or ambulant). The odds of dying increased by a factor of 1.6 (95% CI, 1.3-2.0) with every decade of age and by a factor of 12.6 (95% CI, 4.8-32.9) if wheelchair-dependent. The model had good calibration and discrimination. CONCLUSION: The risk of dying after discharge from hospital with SCI in Bangladesh is high, especially among older, wheelchair-dependent people. A simple prediction model discriminates those at high risk of dying within 5 years.
STUDY DESIGN: Mixed retrospective and prospective cohort study. OBJECTIVES: To determine 5-year survival after hospitalisation with spinal cord injury (SCI) in Bangladesh and to develop a prediction model to identify people at high risk of dying within 5 years. SETTING: Bangladesh. METHODS: Medical records were used to identify people with SCI admitted to a hospital in Bangladesh in 2011. Participants or their family members were contacted >5 years after discharge to determine vital status or date of death. Survival from time of discharge was estimated with Kaplan-Meier curves. A linear model of the log odds of death within 5 years of discharge was constructed and internally validated. RESULTS: Of the 345 people who were admitted and survived to discharge in 2011, 342 (99%) were accounted for 5 years later: 74 (22%) had died (survival = 78%; 95% CI 74-82%). Sixty nine of the 223 participants who were wheelchair-dependent at discharge had died (survival = 69%; 95% CI 62-75%). A parsimonious model predicted survival as a function of age and mode of mobility at discharge (wheelchair-dependent or ambulant). The odds of dying increased by a factor of 1.6 (95% CI, 1.3-2.0) with every decade of age and by a factor of 12.6 (95% CI, 4.8-32.9) if wheelchair-dependent. The model had good calibration and discrimination. CONCLUSION: The risk of dying after discharge from hospital with SCI in Bangladesh is high, especially among older, wheelchair-dependent people. A simple prediction model discriminates those at high risk of dying within 5 years.
Authors: Mohammad Sohrab Hossain; Md Shofiqul Islam; Md Akhlasur Rahman; Joanne V Glinsky; Robert D Herbert; Stanley Ducharme; Lisa A Harvey Journal: Spinal Cord Date: 2019-08 Impact factor: 2.772
Authors: Hueiming Liu; Mohammad Sohrab Hossain; Md Shofiqul Islam; Md Akhlasur Rahman; Punam D Costa; Robert D Herbert; Stephen Jan; Ian D Cameron; Stephen Muldoon; Harvinder S Chhabra; Richard I Lindley; Fin Biering-Sorensen; Stanley Ducharme; Valerie Taylor; Lisa A Harvey Journal: Spinal Cord Date: 2020-06-15 Impact factor: 2.772
Authors: Rosemary Joan Gowran; Nathan Bray; Mary Goldberg; Paula Rushton; Marie Barhouche Abou Saab; David Constantine; Ritu Ghosh; Jonathan Pearlman Journal: Int J Environ Res Public Health Date: 2021-03-24 Impact factor: 3.390