Ischemic Stroke Subtypes: Socio-demographic Factors, Risk Factors, and Outcomes in Southern Sri Lanka

Abstract

Background: Stroke is a heterogeneous, catastrophic disease. A comprehensive clinical analysis of ischemic stroke (IS) risk factors and outcomes is crucial for optimum management in resource-poor settings.Methods: A prospective cross-sectional study of acute cerebrovascular disease (ACVD) involving 592 patients was con­ducted in a tertiary care center in Sri Lanka from November 2018 to May 2019. We aimed to describe the ACVD subtypes and the relationship of IS subtypes and subtype-categories (as defined by the Oxfordshire Community Stroke Project clinical clas­sification) with risk factors, severity, and outcome.Results: The majority (63.3%) had IS. Partial anterior circulation syndromes (PACS), total anterior circulation syndrome (TACS), posterior circulation syndromes (POCS), and lacunar syndromes (LACS) accounted for 102 (29.7%), 58 (16.9%), 88 (25.7%) and 95 (27.7%) of the cases, respectively. The most common PACS sub-category was higher-cerebral-dysfunction-with-homonymous-hemianopia (HCD+HH,39 cases;38.2%). Cerebellar-signs-without-long-tract-signs (CS-LTS) sub-category constituted the highest among POCS (47 cases; 53.4%). The leading sub-category within LACS was pure-motor (PM) strokes (43 cases; 45.3%).Patients aged ≥50 years (adjusted-OR [AOR]2.439; 95%CI,1.163-5.116;P=.018), IHD(AOR 2.520; 95%CI,1.347-4.713; P=.004) and BMI>23kg/m2(AOR 2.607; 95% CI,1.420-4.784; P=.002) were 2.5 times more likely to associate with TACS. Patients with a history of TIA (AOR 1.910; 95%CI,1.036-3.524; P=.038) and arrhyth­mias (AOR 5.933; 95%CI,3.294-10.684; P<.001) were 1.9 and 5.9 times more likely to be associated with POCS respectively. Those with hypertension were 2.3 times more likely to associate with LACS (AOR 2.233; 95%CI,1.270-3.926; P=.005).NIHSS(P<.001), mRS on admission (P=.001) and in 3 months (P<.001), deaths during hospital stay (P=.003) and within 28 days (P<.001) had a stronger relationship with individual stroke subtypes.Conclusion: The comparative risk of different IS subtypes depends on differ­ent risk factors. The findings of this study demonstrate that sub-categories within each stroke subtype may behave independently with regard to risk factors and outcomes, thus warranting the need for individual assessment. Ethn Dis. 2021;31(4):509-518; doi:10.18865/ed.31.4.509

The burden, risk factors and unique etiologies of stroke in South-East Asia Region (SEAR)

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Impact of Baseline Characteristics on Stroke Outcomes in Pakistan: A Longitudinal Study Using the Modified Rankin Scale

“…These include stroke severity and type, comorbid conditions such as diabetes and hypertension, the patient's age and pre-stroke functional status, the timeliness and quality of medical interventions, and access to rehabilitation services [4][5][6]. Socioeconomic factors such as education level, social support, and healthcare resource availability also play a crucial role in shaping functional outcomes three months post-stroke [7][8][9]. Furthermore, complications during the acute phase, like recurrent strokes or other medical issues, significantly impact long-term outcomes as measured by the mRS score three months post-stroke [10].…”