Sociodemographic determinants and clinical risk factors associated with COVID-19 severity: a cross-sectional analysis of over 200,000 patients in Tehran, Iran

BMC Infectious Diseases

Ayad Bahadorimonfared¹  Mohammad-Reza Sohrabi²  Rozhin Amin²  Ali-Asghar Kolahi²  Ali-Reza Zali³  Ali Maher⁴  Shahriar Janbazi⁵  Khatereh Hannani⁶ 

[1] Community Medicine Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran;Community Medicine Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran;Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;Functional Neurosurgery Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;School of Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran;Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;Statistics & Information Technology Management, Shahid Beheshti University of Medical Sciences, Tehran, Iran;

关键词: Blood oxygen saturation;    COVID-19;    Determinants;    Health outcome;    Iran;    Severity;    SARS-CoV-2;   

DOI  :  10.1186/s12879-021-06179-4

来源: Springer

【 摘 要 】

BackgroundDefining socio-demographic factors, clinical presentations and underlying diseases associated with COVID-19 severity could be helpful in its management. This study aimed to further clarify the determinants and clinical risk factors of the disease severity in patients infected with COVID-19.MethodsA multi-centre descriptive study on all patients who have been diagnosed with COVID-19 in the province of Tehran from March 2020 up to Dec 2020 was conducted. Data on socio-demographic characteristics, clinical presentations, comorbidities, and the health outcomes of 205,654 patients were examined. Characteristics of the study population were described. To assess the association of study variables with the disease severity, the Chi-Squared test and Multiple Logistic Regression model were applied.ResultsThe mean age of the study population was 52.8 years and 93,612 (45.5%) were women. About half of the patients have presented with low levels of blood oxygen saturation. The ICU admission rate was 17.8% and the overall mortality rate was 10.0%. Older age, male sex, comorbidities including hypertension, cancer, chronic respiratory diseases other than asthma, chronic liver diseases, chronic kidney diseases, chronic neurological disorders, and HIV/AIDS infection were risk markers of poor health outcome. Clinical presentations related with worse prognosis included fever, difficulty breathing, impaired consciousness, and cutaneous manifestations.ConclusionThese results might alert physicians to pay attention to determinants and risk factors associated with poor prognosis in patients with COVID-19. In addition, our findings aid decision makers to emphasise on vulnerable groups in the public health strategies that aim at preventing the spread of the disease and its mortalities.

【 授权许可】

CC BY