PREDICTORS OF FUNCTIONAL OUTCOME FOLLOWING STROKE A PROSPECTIVE COHORT STUDY FROM NORTHEAST INDIA
Author(s)
Krishnapriya V. Velayudhan, Master of Pharmacy.
Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Guwahati, India.
Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Guwahati, India.
OBJECTIVES: To determine the rate of good and poor functional outcomes among stroke patients and to identify the clinical predictors influencing prognosis in a tertiary care setting
METHODS: A prospective observational cohort study was conducted at the GNRC Institute of Medical Sciences, Assam (September 2024-March 2025). Functional status was assessed using the modified Rankin Scale (mRS) at admission and discharge. Prognosis was categorised as good (mRS improvement) or poor (no change/deterioration). Associations were analysed using chi-square tests and odds ratios (ORs) with 95% confidence intervals (CIs) using SPSS Version 20.0.
RESULTS: Among 200 hospitalised stroke patients, 86 (43%) had poor outcomes, and 114 (57%) had good outcomes. Hemorrhagic stroke was significantly linked to poor prognosis (p=0.004). Malnutrition (moderate/severe) was more prevalent in the poor prognosis group (p<0.001). Higher National Institute of Health Stroke Scale (NIHSS) and lower Glasgow Coma Scale (GCS) scores (indicating greater severity) correlated with worse outcomes (p<0.001). In-hospital complications, urinary tract infections (OR=13.9, p<0.001), aspiration pneumonia (OR=7.36, p=0.005), and post-stroke seizures (OR=6.18, p<0.001) were strongly associated with poor prognosis. Sociodemographic factors and comorbidities (hypertension, diabetes) showed no significant associations.
CONCLUSIONS: Early management of complications, nutritional support, and stroke severity assessment are critical for improving functional recovery. Risk stratification and targeted interventions could enhance outcomes, particularly in low-resource settings.
METHODS: A prospective observational cohort study was conducted at the GNRC Institute of Medical Sciences, Assam (September 2024-March 2025). Functional status was assessed using the modified Rankin Scale (mRS) at admission and discharge. Prognosis was categorised as good (mRS improvement) or poor (no change/deterioration). Associations were analysed using chi-square tests and odds ratios (ORs) with 95% confidence intervals (CIs) using SPSS Version 20.0.
RESULTS: Among 200 hospitalised stroke patients, 86 (43%) had poor outcomes, and 114 (57%) had good outcomes. Hemorrhagic stroke was significantly linked to poor prognosis (p=0.004). Malnutrition (moderate/severe) was more prevalent in the poor prognosis group (p<0.001). Higher National Institute of Health Stroke Scale (NIHSS) and lower Glasgow Coma Scale (GCS) scores (indicating greater severity) correlated with worse outcomes (p<0.001). In-hospital complications, urinary tract infections (OR=13.9, p<0.001), aspiration pneumonia (OR=7.36, p=0.005), and post-stroke seizures (OR=6.18, p<0.001) were strongly associated with poor prognosis. Sociodemographic factors and comorbidities (hypertension, diabetes) showed no significant associations.
CONCLUSIONS: Early management of complications, nutritional support, and stroke severity assessment are critical for improving functional recovery. Risk stratification and targeted interventions could enhance outcomes, particularly in low-resource settings.
Conference/Value in Health Info
2026-09, ISPOR Asia Pacific 2026, Bangkok, Thailand
Value in Health, Volume 55, Issue S1
Code
EPH25
Topic
Epidemiology & Public Health
Disease
SDC: Cardiovascular Disorders (including MI, Stroke, Circulatory), SDC: Geriatrics, SDC: Neurological Disorders