RT Journal Article
T1 The age again in the eye of the COVID-19 storm: evidence-based decision making.
A1 Martin, Maria 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-Sanchez, Maria C
A1 Jimenez-de Las Pozas, Yesenia
A1 Melero, Josefa
A1 Aguilar, Marta
A1 Sobieschi, Oana Irina
A1 Lopez-Hoyos, Marcos
A1 Ocejo-Vinyals, Gonzalo
A1 San Segundo, David
A1 Almeida, Delia
A1 Medina, Silvia
A1 Fernandez, Luis
A1 Vergara, Esther
A1 Quirant, Bibiana
A1 Martinez-Caceres, Eva
A1 Boiges, Marc
A1 Alonso, Marta
A1 Esparcia-Pinedo, Laura
A1 Lopez-Sanz, Celia
A1 Muñoz-Vico, Javier
A1 Lopez-Palmero, Serafin
A1 Trujillo, Antonio
A1 Alvarez, Paula
A1 Prada, Alvaro
A1 Monzon, David
A1 Ontañon, Jesus
A1 Marco, Francisco M
A1 Mora, Sergio
A1 Rojo, Ricardo
A1 Gonzalez-Martinez, Gema
A1 Martinez-Saavedra, Maria T
A1 Gil-Herrera, Juana
A1 Cantenys-Molina, Sergi
A1 Hernandez, Manuel
A1 Perurena-Prieto, Janire
A1 Rodriguez-Bayona, Beatriz
A1 Martinez, 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.
PB BioMed Central
SN 1742-4933
YR 2021
FD 2021-05-11
LK http://hdl.handle.net/10668/17811
UL http://hdl.handle.net/10668/17811
LA en
NO Martín MC, Jurado A, Abad-Molina C, Orduña A, Yarce O, Navas AM, et al. The age again in the eye of the COVID-19 storm: evidence-based decision making. Immun Ageing. 2021 May 20;18(1):24
DS RISalud
RD Apr 19, 2025