A retrospective analysis of 902 hospitalized COVID‐19 patients in Lebanon: clinical epidemiology and risk factors
| Autor: | Fatima Dakroub, Haidar Akl, Abbass Fadel, Alaa Dayekh, Suha Fakhredine, Mohammad Yassine, Rachid Jaber, Ali Maatouk |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Epidemiology
Disease Clinical epidemiology Infectious and parasitic diseases RC109-216 BiPAP Bi-level positive airway pressure HFNC High flow nasal cannula CFS Clinical frailty scale PCR polymerase chain reaction Pandemic Case fatality rate SD Standard deviation Lebanon COVID-19 Coronavirus disease 2019 95% CI 95 percent confidence interval CVD cardiovascular diseases Vaccination ICU Intensive care unit ECMO Extracorporeal membrane oxygenation FM Face mask MV Mechanical ventilation CT Computed tomography ARB Angiotensin receptor blockers DVT Deep vein thrombosis Cohort study medicine.medical_specialty ER emergency room NIV Non-invasive ventilation SARS CoV-2 COPD Chronic obstructive pulmonary disease NC Nasal cannula PE Pulmonary embolism Article WHO World Health Organization Odds VTE Venous thromboembolism CRF Chronic kidney failure Internal medicine ARDS Acute respiratory distress syndrome medicine GGOs Ground glass opacities SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 URTI Upper respiratory tract infection Clinical characteristics ACEI Angiotensin-converting-enzyme inhibitors business.industry SGH Saint Georges Hospital COVID-19 NRFM Non-rebreathing face mask Odds ratio business OR Odds ratio |
| Zdroj: | Journal of Clinical Virology plus Journal of Clinical Virology Plus, Vol 1, Iss 4, Pp 100048-(2021) |
| ISSN: | 2667-0380 |
| Popis: | Background: The clinical epidemiology of hospitalized COVID-19 patients has never been described before in Lebanon. Moreover, the hospital admission and PCR positivity rates have not been assessed and compared yet. Objectives: To describe the characteristics and outcomes of hospitalized patients with coronavirus induced disease 2019 (COVID-19) in Lebanon and identify risk factors for severe disease or death. Study design: This is a retrospective mono-center cohort study in which we used patients’ files to extract and analyse data on demographic and clinical characteristics, as well as mortality. Moreover, we tracked the pandemic by recording the daily total and ICU inpatient census and the PCR positivity rate for admitted and outpatients. Results: Although the total admission rate increased from September to April, the ICU census switched this trend in December to stabilize at an average of around 10 patients/day until April. The case fatality rate was 19% for the 902 hospitalized patients, of which the majority (80%) had severe COVID-19. The severity odds ratio is significantly decreased in immunosuppressed cases (OR, 0.18; CI, 0.05-0.67; p=0.011). Additionally, the odds of COVID-19 related death are significantly greater if consolidations are found in the chest computed tomography (CT) scan (OR, 12; CI, 2.63-55.08; p=0.0013). Conclusion: Consolidations in the lungs significantly increase the COVID-19 death risk. Risk factors identification is important to improve patients’ management and vaccination strategies. In addition, hospital statistics are good indicators of a pandemic's track. |
| Databáze: | OpenAIRE |
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