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Clinical Profile, Treatment and Predictors during the First COVID-19 Wave: A Population-Based Registry Analysis from
Eduardo Gutiérrez-Abejón1,2, Eduardo Tamayo3,4,5, Débora Martín-García6
1Pharmacological Big Data Laboratory, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain.
Insights
The first wave of COVID-19 saw high mortality (24.43%) in Castile and Leon, Spain. Age over 65 and mechanical ventilation significantly increased death risk for hospitalized patients.
Area of Science:
- Infectious Diseases
- Public Health
- Clinical Medicine
Background:
- The initial COVID-19 pandemic surge severely impacted hospital systems in Castile and Leon, Spain.
- Understanding patient characteristics and treatment outcomes is crucial for managing public health crises.
Purpose of the Study:
- To analyze clinical features, drug treatments, and predictors of outcomes for hospitalized COVID-19 patients during the first wave.
- To identify factors associated with mortality and severe disease progression.
Main Methods:
- A population-based registry study analyzed 7307 hospitalized COVID-19 patients from March 1 to May 31, 2020.
- Data collected included demographics, clinical outcomes, ventilation modes, and medications used.
- Statistical analysis identified predictors of mortality and severe complications.
Main Results:
- The cohort had a median age of 76 years, with 57.05% males. Overall mortality was 24.43%.
- High incidences of severe acute respiratory syndrome (SARS) (14.03%) and acute kidney injury (AKI) (10.87%) were observed.
- Age over 65 (OR: 9.05) and mechanical ventilation (OR: 3.59) were strongly associated with increased mortality risk.
Conclusions:
- Age, male gender, and the need for mechanical ventilation were key factors predicting poor prognosis in hospitalized COVID-19 patients.
- Treatment patterns evolved during the first wave, with significant use of antibiotics, antimalarials, steroids, and antivirals.
- The study highlights critical risk factors and treatment considerations for severe COVID-19 during a pandemic's initial phase.
Abstract:
The first wave of the COVID-19 pandemic collapsed the hospitals in Castile and Leon (Spain). An analysis of the clinical characteristics, drug therapies and principal outcome predictors in the COVID-19 hospitalized patients from 1 March to 31 May 2020 is presented through a population-based registry study. Hospital stay variables, ventilation mode data and clinical outcomes were observed. In Castile and Leon hospitals, 7307 COVID-19 patients were admitted, with 57.05% being male and a median of 76 years. The mortality rate was 24.43%, with a high incidence of severe acute respiratory syndrome (SARS) (14.03%) and acute kidney injury (AKI) (10.87%). The most used medicines were antibiotics (90.83%), antimalarials (42.63%), steroids (44.37%) and antivirals, such as lopinavir/ritonavir (42.63%). The use of tocilizumab (9.37%) and anti-SIRS (systemic inflammatory response syndrome) medicines (7.34%) were remarkable. Fundamentally, death occurred more likely over 65 years of age (OR: 9.05). In addition, the need for ventilation was associated with a higher probability of death (OR: 3.59), SARS (OR: 5.14) and AKI (OR: 2.31). The drug-use pattern had been modified throughout the COVID-19 first wave. Multiple factors, such as age, gender and the need for mechanical ventilation, were related to the worst evolution prognosis of the disease.
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