The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients
Abstract Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomar...
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2021
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oai:doaj.org-article:2756c3ad2be2442295c391c73342f4e62021-12-02T17:15:16ZThe COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients10.1038/s41598-021-88679-62045-2322https://doaj.org/article/2756c3ad2be2442295c391c73342f4e62021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88679-6https://doaj.org/toc/2045-2322Abstract Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomarkers that contributed with significant predictive value for predicting mortality to the clinical model were included. Cut-off points were established, and finally a risk score was built. 893 patients were included. Median age was 68.2 ± 15.2 years. 87(9.7%) were admitted to Intensive Care Unit (ICU) and 72(8.1%) needed mechanical ventilation support. 171(19.1%) patients died. A Covid-19 Lab score ranging from 0 to 30 points was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included haemoglobin, erythrocytes, leukocytes, neutrophils, lymphocytes, creatinine, C-reactive protein, interleukin-6, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. Three groups were established. Low mortality risk group under 12 points, 12 to 18 were included as moderate risk, and high risk group were those with 19 or more points. Low risk group as reference, moderate and high patients showed mortality OR 4.75(CI95% 2.60–8.68) and 23.86(CI 95% 13.61–41.84), respectively. C-statistic was 0–85(0.82–0.88) and Hosmer–Lemeshow p-value 0.63. Covid-19 Lab score can very easily predict mortality in patients at any moment during admission secondary to SARS-CoV2 infection. It is a simple and dynamic score, and it can be very easily replicated. It could help physicians to identify high risk patients to foresee clinical deterioration.Pablo Jose Antunez MuiñosDiego López OteroIgnacio J. Amat-SantosJavier López PaísAlvaro AparisiCarla E. Cacho AntonioPablo CataláTeba González FerreroGonzalo CabezónOscar Otero GarcíaJosé Francisco GilMarta Pérez PozaJordi CandelaGino RojasVíctor Jiménez RamosCarlos VerasJ. Alberto San RománJosé R. González-JuanateyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Pablo Jose Antunez Muiños Diego López Otero Ignacio J. Amat-Santos Javier López País Alvaro Aparisi Carla E. Cacho Antonio Pablo Catalá Teba González Ferrero Gonzalo Cabezón Oscar Otero García José Francisco Gil Marta Pérez Poza Jordi Candela Gino Rojas Víctor Jiménez Ramos Carlos Veras J. Alberto San Román José R. González-Juanatey The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| description |
Abstract Deterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomarkers that contributed with significant predictive value for predicting mortality to the clinical model were included. Cut-off points were established, and finally a risk score was built. 893 patients were included. Median age was 68.2 ± 15.2 years. 87(9.7%) were admitted to Intensive Care Unit (ICU) and 72(8.1%) needed mechanical ventilation support. 171(19.1%) patients died. A Covid-19 Lab score ranging from 0 to 30 points was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included haemoglobin, erythrocytes, leukocytes, neutrophils, lymphocytes, creatinine, C-reactive protein, interleukin-6, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. Three groups were established. Low mortality risk group under 12 points, 12 to 18 were included as moderate risk, and high risk group were those with 19 or more points. Low risk group as reference, moderate and high patients showed mortality OR 4.75(CI95% 2.60–8.68) and 23.86(CI 95% 13.61–41.84), respectively. C-statistic was 0–85(0.82–0.88) and Hosmer–Lemeshow p-value 0.63. Covid-19 Lab score can very easily predict mortality in patients at any moment during admission secondary to SARS-CoV2 infection. It is a simple and dynamic score, and it can be very easily replicated. It could help physicians to identify high risk patients to foresee clinical deterioration. |
| format |
article |
| author |
Pablo Jose Antunez Muiños Diego López Otero Ignacio J. Amat-Santos Javier López País Alvaro Aparisi Carla E. Cacho Antonio Pablo Catalá Teba González Ferrero Gonzalo Cabezón Oscar Otero García José Francisco Gil Marta Pérez Poza Jordi Candela Gino Rojas Víctor Jiménez Ramos Carlos Veras J. Alberto San Román José R. González-Juanatey |
| author_facet |
Pablo Jose Antunez Muiños Diego López Otero Ignacio J. Amat-Santos Javier López País Alvaro Aparisi Carla E. Cacho Antonio Pablo Catalá Teba González Ferrero Gonzalo Cabezón Oscar Otero García José Francisco Gil Marta Pérez Poza Jordi Candela Gino Rojas Víctor Jiménez Ramos Carlos Veras J. Alberto San Román José R. González-Juanatey |
| author_sort |
Pablo Jose Antunez Muiños |
| title |
The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| title_short |
The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| title_full |
The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| title_fullStr |
The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| title_full_unstemmed |
The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients |
| title_sort |
covid-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in covid-19 patients |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/2756c3ad2be2442295c391c73342f4e6 |
| work_keys_str_mv |
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