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RISS 인기검색어
- 검색키워드
- 저자 : Zijoud Seyed Reza Hosseini (검색결과 2 건)
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The Effects of Air Pollution on Ischemic Stroke Admission Rate
Hossein Alimohammadi,Sara Fakhri,Hojjat Derakhshanfar,Seyed-Mostafa Hosseini-Zijoud,Saeed Safari,Hamid Reza Hatamabadi 전남대학교 의과학연구소 2016 전남의대학술지 Vol.52 No.1
The present study aimed to determine the relationship between the level of air pollutantsand the rate of ischemic stroke (IS) admissions to hospitals. In this retrospectivecross-sectional study, stroke admissions (January-March 2012 and 2013) to an emergencydepartment and air pollution and meteorological data were gathered. The relationshipbetween air pollutant levels and hospital admission rates were evaluated usingthe generalize additive model. In all 379 patients with IS were referred to the hospital(52.5% male; mean age 68.2±13.3 years). Both transient (p<0.001) and long-term(p<0.001) rises in CO level increases the risk of IS. Increased weekly (p<0.001) andmonthly (p<0.001) average O3 levels amplifies this risk, while a transient increase inNO2 (p<0.001) and SO2 (p<0.001) levels has the same effect. Long-term changes inPM10 (p<0.001) and PM2.5 (p<0.001) also increase the risk of IS. The findings showedthat the level of air pollutants directly correlates with the number of stroke admissionsto the emergency department.
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Bahardoust Mansour,Goharrizi Mohammad Ali Sheikh Beig,Bahardoust Mansour,Alvanegh Akbar Ghorbani,Ataee Mohammad Reza,Bagheri Mehdi,Navidiyan Ensiyeh Shabani,Zijoud Seyed Reza Hosseini,Heiat Mohammad 대한고혈압학회 2021 Clinical Hypertension Vol.27 No.2
Background: Hypertension, the most common comorbidity among coronavirus disease 2019 (COVID-19) patients, is accompanied by worse clinical outcomes, but there is lack of evidence about prognostic factors among COVID19 patients with hypertension. We have come up with some prognostic factors to predict the severity of COVID-19 among hypertensive patients. In addition, epidemiologic, clinical and laboratory differences among COVID-19 patients with and without underlying hypertension were evaluated. Methods: Medical profiles of 598 COVID-19 cases were analyzed. Patients were divided into two comparative groups according to their positive or negative history of hypertension. Then, epidemiologic, clinical, laboratory and radiological features and also clinical outcomes were compared. Results: 176 (29.4%) patients had underlying hypertension. Diabetes was significantly higher in hypertensive group [72 (40.9%) vs 76 (18%)] (P-value: 0.001). Cardiovascular and renal disorders were significantly higher in hypertensive patients. (P-value: 0.001 and 0.013 respectively). In COVID-19 patients with hypertension, severe/critical types were significantly higher. [42(23.8%) vs. 41(9.7%)], (P-value: 0.012). In the logistic regression model, Body mass index > 25 (ORAdj: 1.8, 95% CI: 1.2 to 2.42; P-value: 0.027), age over 60 (ORAdj: 1.26, 95% CI: 1.08 to 1.42; P-value: 0.021), increased hospitalization period (ORAdj: 2.1, 95% CI: 1.24 to 2.97; P-value: 0.013), type 2 diabetes (ORAdj: 2.22, 95% CI: 1.15 to 3.31; P-value: 0.001) and chronic kidney disease (ORAdj: 1.83, 95% CI: 1.19 to 2.21; P-value: 0.013) were related with progression of COVID-19. Conclusion: Hypertensive patients with Age > 60-year-old, BMI > 25 Kg/m2 , CVD, diabetes and chronic kidney disease are associated with poor outcomes in those with COVID-19 infection.
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