Dataset Information

The age again in the eye of the COVID-19 storm: evidence-based decision making.

ABSTRACT:

Background

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.

Results

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.

Conclusion

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.

SUBMITTER: Martin MC

PROVIDER: S-EPMC8134808 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Publications

The age again in the eye of the COVID-19 storm: evidence-based decision making.

Martín María C MC Jurado Aurora A Abad-Molina Cristina C Orduña Antonio A Yarce Oscar O Navas Ana M AM Cunill Vanesa V Escobar Danilo D Boix Francisco F Burillo-Sanz Sergio S Vegas-Sánchez María C MC Jiménez-de Las Pozas Yesenia Y Melero Josefa J Aguilar Marta M Sobieschi Oana Irina OI López-Hoyos Marcos M Ocejo-Vinyals Gonzalo G San Segundo David D Almeida Delia D Medina Silvia S Fernández Luis L Vergara Esther E Quirant Bibiana B Martínez-Cáceres Eva E Boiges Marc M Alonso Marta M Esparcia-Pinedo Laura L López-Sanz Celia C Muñoz-Vico Javier J López-Palmero Serafín S Trujillo Antonio A Álvarez Paula P Prada Álvaro Á Monzón David D Ontañón Jesús J Marco Francisco M FM Mora Sergio S Rojo Ricardo R González-Martínez Gema G Martínez-Saavedra María T MT Gil-Herrera Juana J Cantenys-Molina Sergi S Hernández Manuel M Perurena-Prieto Janire J Rodríguez-Bayona Beatriz B Martínez Alba A Ocaña Esther E Molina Juan J

Immunity & ageing : I & A 20210520 1

<h4>Background</h4>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 ...[more]

PMID: 34016150

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Project description:BackgroundThe pace of the COVID-19 pandemic poses an unprecedented challenge to the evidence-to-decision process. Latin American countries have responded to COVID-19 by introducing interventions to both mitigate the risk of infection and to treat cases. Understanding how evidence is used to inform government-level decision-making at a national scale is crucial for informing country and regional actors in ongoing response efforts.ObjectivesThis study was undertaken between February-May 2021 and aims to characterise the best available evidence (BAE) and assess the extent to which it was used to inform decision-making in 21 Latin American countries, in relation to pharmaceutical (PI) and non-pharmaceutical interventions (NPI) related to COVID-19, including the use of therapeutics (corticosteroids, hydroxychloroquine/chloroquine and ivermectin), facemask use in the community setting and the use of diagnostic tests as a requirement for international travel.MethodA three-phase methodology was used to; (i) characterise the BAE for each intervention using an umbrella review, (ii) identify government-level decisions for each intervention through a document review and (iii) assess the use of evidence to inform decisions using a novel adapted framework analysis.FindingsThe BAE is characterized by 17 living and non-living systematic reviews as evolving, and particularly uncertain for NPIs. 107 country-level documents show variation in both content and timing of decision outcomes across intervention types, with the majority of decisions taken at a time of evidence uncertainty, with only 5 documents including BAE. Seven out of eight key indicators of an evidence-to-decision process were identified more frequently among PIs than either NPI of facemask use or testing prior to travel. Overall evidence use was reported more frequently among PIs than either NPI of facemask use or travel testing (92%, 28% and 29%, respectively).InterpretationThere are limitations in the extent to which evidence use in decision-making is reported across the Latin America region. Institutionalising this process and grounding it in existing and emerging methodologies can facilitate the rapid response in an emergency setting.FundingNo funding was sourced for this work.

Dataset Information

The age again in the eye of the COVID-19 storm: evidence-based decision making.

Background

Results

Conclusion

Publications

The age again in the eye of the COVID-19 storm: evidence-based decision making.

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