2026-04-17T04:05:19Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1779732025-12-05T13:14:30Zcom_2072_1057col_2072_478798col_2072_478916col_2072_478917

00925njm 22002777a 4500 dc Rubio-Rivas, Manuel author Corbella, Xavier author Formiga Pérez, Francesc author Menéndez Fernández, Estela author Martín Escalante, María Dolores author Baños Fernández, Isolina author Arnalich Fernández, Francisco author Corral-Beamonte, Esther del author Lalueza, Antonio author Parra Virto, Alejandro author Roy Vallejo, Emilia author Loureiro Amigo, José author Álvarez Suárez, Ana María author Abadía-Otero, Jesica author Navarro de la Chica, María author Estévez González, Raquel author Hernández Milián, Almudena author Areses Manrique, María author Blázquez Encinar, Julio César author González Noya, Amara author González Ferrer, Ruth author Pérez Aguilera, María author Gil Sánchez, Ricardo author Millán Núñez-Cortés, Jesús author Casas Rojo, José author SEMI-COVID-19 Network author 2021-06-03T16:02:00Z 2021-06-03T16:02:00Z 2021-05-01 2021-06-03T16:02:00Z Background: the inflammation or cytokine storm that accompanies COVID-19 marks the prognosis. This study aimed to identify three risk categories based on inflammatory parameters on admission. Methods: retrospective cohort study of patients diagnosed with COVID-19, collected and followed-up from 1 March to 31 July 2020, from the nationwide Spanish SEMI-COVID-19 Registry. The three categories of low, intermediate, and high risk were determined by taking into consideration the terciles of the total lymphocyte count and the values of C-reactive protein, lactate dehydrogenase, ferritin, and D-dimer taken at the time of admission. Results: a total of 17,122 patients were included in the study. The high-risk group was older (57.9 vs. 64.2 vs. 70.4 years; p < 0.001) and predominantly male (37.5% vs. 46.9% vs. 60.1%; p < 0.001). They had a higher degree of dependence in daily tasks prior to admission (moderate-severe dependency in 10.8% vs. 14.1% vs. 17%; p < 0.001), arterial hypertension (36.9% vs. 45.2% vs. 52.8%; p < 0.001), dyslipidemia (28.4% vs. 37% vs. 40.6%; p < 0.001), diabetes mellitus (11.9% vs. 17.1% vs. 20.5%; p < 0.001), ischemic heart disease (3.7% vs. 6.5% vs. 8.4%; p < 0.001), heart failure (3.4% vs. 5.2% vs. 7.6%; p < 0.001), liver disease (1.1% vs. 3% vs. 3.9%; p = 0.002), chronic renal failure (2.3% vs. 3.6% vs. 6.7%; p < 0.001), cancer (6.5% vs. 7.2% vs. 11.1%; p < 0.001), and chronic obstructive pulmonary disease (5.7% vs. 5.4% vs. 7.1%; p < 0.001). They presented more frequently with fever, dyspnea, and vomiting. These patients more frequently required high flow nasal cannula (3.1% vs. 4.4% vs. 9.7%; p < 0.001), non-invasive mechanical ventilation (0.9% vs. 3% vs. 6.3%; p < 0.001), invasive mechanical ventilation (0.6% vs. 2.7% vs. 8.7%; p < 0.001), and ICU admission (0.9% vs. 3.6% vs. 10.6%; p < 0.001), and had a higher percentage of in-hospital mortality (2.3% vs. 6.2% vs. 23.9%; p < 0.001). The three risk categories proved to be an independent risk factor in multivariate analyses. Conclusion: the present study identifies three risk categories for the requirement of high flow nasal cannula, mechanical ventilation, ICU admission, and in-hospital mortality based on lymphopenia and inflammatory parameters. COVID-19 Citoquines Mortalitat COVID-19 Cytokines Mortality Risk categories in COVID-19 based on degrees of inflammation: data on more than 17,000 patients from the Spanish SEMI-COVID-19 registry