RT Journal Article
T1 A predictive score at admission for respiratory failure among hospitalized patients with confirmed 2019 Coronavirus Disease: a simple tool for a complex problem.
A1 Lalueza, Antonio
A1 Lora-Tamayo, Jaime
A1 Maestro-de la Calle, Guillermo
A1 Folgueira, Dolores
A1 Arrieta, Estíbaliz
A1 de Miguel-Campo, Borja
A1 Díaz-Simón, Raquel
A1 Lora, David
A1 de la Calle, Cristina
A1 Mancheño-Losa, Mikel
A1 Marchán-López, Álvaro
A1 García-Reyne, Ana
A1 Fernández-Ruiz, Mario
A1 Sayas-Catalán, Javier
A1 Serrano, Antonio
A1 Cueto-Felgueroso, Cecilia
A1 San Juan, Rafael
A1 García-García, Rocío
A1 Catalán, Mercedes
A1 Villena, Victoria
A1 Aguado, José María
A1 Lumbreras, Carlos
A1 COVID+12 group, 
K1 COVID-19
K1 Coronavirus
K1 Outcome
K1 Respiratory failure
K1 SARS-CoV2
K1 Score
AB Coronavirus Disease 2019 (COVID-19) pandemic has implacably stricken on the wellness of many countries and their health-care systems. The aim of the present study is to analyze the clinical characteristics of the initial wave of patients with COVID-19 attended in our center, and to identify the key variables predicting the development of respiratory failure. Prospective design study with concurrent data retrieval from automated medical records of all hospitalized adult patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rRT-PCR assay performed on respiratory samples from March 2nd to 18th, 2020. Patients were followed up to May 1st, 2020 or death. Respiratory failure was defined as a PaO2/FiO2 ratio ≤ 200 mm Hg or the need for mechanical ventilation (either non-invasive positive pressure ventilation or invasive mechanical ventilation). We included 521 patients of whom 416 (81%) had abnormal Chest X-ray on admission. Median age was 64.6 ± 18.2 years. One hundred eighty-one (34.7%) developed respiratory failure after a median time from onset of symptoms of 9 days (IQR 6-11). In-hospital mortality was 23.8% (124/521). The modeling process concluded into a logistic regression multivariable analysis and a predictive score at admission. Age, peripheral pulse oximetry, lymphocyte count, lactate dehydrogenase and C-reactive protein were the selected variables. The model has a good discriminative capacity with an area under the ROC curve of 0.85 (0.82-0.88). The application of a simple and reliable score at admission seems to be a useful tool to predict respiratory failure in hospitalized COVID-19 patients.
YR 2021
FD 2021-04-29
LK https://hdl.handle.net/10668/25334
UL https://hdl.handle.net/10668/25334
LA en
DS RISalud
RD Apr 6, 2025