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[Impact of seasons, years El Nino/La Nina and rainfalls on stroke-related morbidity and mortality in Kinshasa].

The significant impact of seasonality and climate change on stroke-related morbidity and mortality is well established, however, some findings on this issue are conflicting. The objective was to determine the impact of gender, age, season, year of admission, temperature, rainfall and El Nino phenomenon on ischemic and hemorrhagic strokes and fatal cases of stroke.The study was carried out at the teaching hospital of Kinshasa, DRC, between January 1998 and December 2004. Rainy and dry seasons, elevated temperatures, indices of rainfalls El Nino years 1998, 2002 and 2004, but La Nina years 1999-2000 and neutral/normal years 2001 and 2003 were defined.Among 470 incident strokes, 34.5% of victims (n=162) died. Traditional seasons (small dry season, small rainy season, great dry season, great rainy season) and temperatures did not significantly (P>0.005) impact on stroke incidence. However, there was a positive association between the decrease in rainfall, El Nino, and incident ischemic strokes, but a significant positive association between the increase in rainfall, La Nina, and incident hemorrhagic strokes. Using logistic regression analysis, age ≥ 60 years (OR: 1.7, 95% CI: 1.2-2.5; P=0.018) and El Nino years (OR: 2, 95% CI: 1.2-3.3; P=0.009) were identified as the independent predictors of fatal strokes.Early warning systems should be developed to predict the impact of seasons and climate variability on stroke morbidity and mortality.
Adult, Aged, 80 and over, El Nino-Southern Oscillation, Male, Adolescent, Climate Change, Incidence, Rain, Middle Aged, Droughts, Hospitals, University, Stroke, Patient Admission, Democratic Republic of the Congo, Humans, Female, Seasons, Child, Aged, Retrospective Studies
Adult, Aged, 80 and over, El Nino-Southern Oscillation, Male, Adolescent, Climate Change, Incidence, Rain, Middle Aged, Droughts, Hospitals, University, Stroke, Patient Admission, Democratic Republic of the Congo, Humans, Female, Seasons, Child, Aged, Retrospective Studies
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