RT Journal Article
T1 The age again in the eye of the COVID-19 storm: evidence-based decision making.
A1 Martín, María C
A1 Jurado, Aurora
A1 Abad-Molina, Cristina
A1 Orduña, Antonio
A1 Yarce, Oscar
A1 Navas, Ana M
A1 Cunill, Vanesa
A1 Escobar, Danilo
A1 Boix, Francisco
A1 Burillo-Sanz, Sergio
A1 Vegas-Sánchez, María C
A1 Jiménez-de Las Pozas, Yesenia
A1 Melero, Josefa
A1 Aguilar, Marta
A1 Sobieschi, Oana Irina
A1 López-Hoyos, Marcos
A1 Ocejo-Vinyals, Gonzalo
A1 San Segundo, David
A1 Almeida, Delia
A1 Medina, Silvia
A1 Fernández, Luis
A1 Vergara, Esther
A1 Quirant, Bibiana
A1 Martínez-Cáceres, Eva
A1 Boiges, Marc
A1 Alonso, Marta
A1 Esparcia-Pinedo, Laura
A1 López-Sanz, Celia
A1 Muñoz-Vico, Javier
A1 López-Palmero, Serafín
A1 Trujillo, Antonio
A1 Álvarez, Paula
A1 Prada, Álvaro
A1 Monzón, David
A1 Ontañón, Jesús
A1 Marco, Francisco M
A1 Mora, Sergio
A1 Rojo, Ricardo
A1 González-Martínez, Gema
A1 Martínez-Saavedra, María T
A1 Gil-Herrera, Juana
A1 Cantenys-Molina, Sergi
A1 Hernández, Manuel
A1 Perurena-Prieto, Janire
A1 Rodríguez-Bayona, Beatriz
A1 Martínez, Alba
A1 Ocaña, Esther
A1 Molina, Juan
K1 Area under the curve
K1 COVID-19
K1 Cut-off points
K1 Immunity
K1 Immunosenescence
K1 Lockdown
K1 Lymphocytes
K1 Renin-angiotensin-aldosterone system inhibitors
K1 Severe acute respiratory syndrome coronavirus 2
AB One hundred fifty million contagions, more than 3 million deaths and little more than 1 year of COVID-19 have changed our lives and our health management systems forever. Ageing is known to be one of the significant determinants for COVID-19 severity. Two main reasons underlie this: immunosenescence and age correlation with main COVID-19 comorbidities such as hypertension or dyslipidaemia. This study has two aims. The first is to obtain cut-off points for laboratory parameters that can help us in clinical decision-making. The second one is to analyse the effect of pandemic lockdown on epidemiological, clinical, and laboratory parameters concerning the severity of the COVID-19. For these purposes, 257 of SARSCoV2 inpatients during pandemic confinement were included in this study. Moreover, 584 case records from a previously analysed series, were compared with the present study data. Concerning the characteristics of lockdown series, mild cases accounted for 14.4, 54.1% were moderate and 31.5%, severe. There were 32.5% of home contagions, 26.3% community transmissions, 22.5% nursing home contagions, and 8.8% corresponding to frontline worker contagions regarding epidemiological features. Age > 60 and male sex are hereby confirmed as severity determinants. Equally, higher severity was significantly associated with higher IL6, CRP, ferritin, LDH, and leukocyte counts, and a lower percentage of lymphocyte, CD4 and CD8 count. Comparing this cohort with a previous 584-cases series, mild cases were less than those analysed in the first moment of the pandemic and dyslipidaemia became more frequent than before. IL-6, CRP and LDH values above 69 pg/mL, 97 mg/L and 328 U/L respectively, as well as a CD4 T-cell count below 535 cells/μL, were the best cut-offs predicting severity since these parameters offered reliable areas under the curve. Age and sex together with selected laboratory parameters on admission can help us predict COVID-19 severity and, therefore, make clinical and resource management decisions. Demographic features associated with lockdown might affect the homogeneity of the data and the robustness of the results.
SN 1742-4933
YR 2021
FD 2021-05-20
LK https://hdl.handle.net/10668/28339
UL https://hdl.handle.net/10668/28339
LA en
DS RISalud
RD Apr 5, 2025