Clinical biomarkers and its outcome and complications prediction in Covid-19: An analysis among hospitalized patients
Biochimica Clinica
; 45(SUPPL 2):S84, 2022.
Artigo
em Inglês
| EMBASE | ID: covidwho-1733148
ABSTRACT
Introduction:
In December 2019 a new pathology emerged in the region of Hubei, China. It is provoked by a virus that was later named 2019-nCov, and then renamed as SARSCoV-2.Considering previous studies and publications, we decided to evaluate biomarkers to determinate if and how they could be a useful tool to predict complications and lethality. Goals we used the clinical data of 147 patients, whom we made a retrospective analysis of. We created two groups survival and non survivals. We also divided them into two further classes complications and non complications. We considered the following parameters age, lymphocyte, neutrophil, platelet, Neutrohpile-tolymphocyte ratio (NLR), platelets-to-lymphocyte ratio (PLR), CRP and procalcitonine. The Majority of these markers were collected at the emergency room. Materials andmethods:
We built a database from 146 Patients that were randomly included, using as criteria of inclusion PCR test positive and admission at the ER, followed by hospitalization. All the data comes from the analytics at the moment of the admission for the big part of them, or, when incompletes, in the next 48/72 hour. We considered as complications the following ones Trombosis, septic shock, superinfection, acute renal failure and hyponatremia. We collected the data from our Hospital Database, then we performed all the statistical analysis using the IBM SPSS software, version 25. All the findings were considered statistically significative if P value <0.05.Results:
All the patients were included in the study. Among them, 44 were female patiens, 103 were male. We performed Kolgomoroff-Smirnoff test of normality, with the followingresults:
All the parameters showed an asymmetric distribution but CRP. T student and Mann-Whitney tests were performed. Our result showed that the differences in Age, CRP and procalcitonine were significative as p<0,05 between the groups of survaivals and non survivals, while all the rest of parameters showed a non significative result. Conlcusion Our results showed a significative difference for the parameters of Age, procalcitonine and CRP when it comes to survival and no survival group. This findigs suggest and somehow confirm the importance of this biomarkers in the evaluation of Covid-19 patients.
biological marker; acute kidney failure; adult; clinical evaluation; complication; conference abstract; controlled study; coronavirus disease 2019; data analysis software; emergency ward; female; hospital patient; hospitalization; human; human cell; hyponatremia; lethality; lymphocyte; major clinical study; male; neutrophil; neutrophil lymphocyte ratio; nonhuman; outcome assessment; platelet lymphocyte ratio; prediction; rank sum test; retrospective study; septic shock; Severe acute respiratory syndrome coronavirus 2; superinfection
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Coleções:
Bases de dados de organismos internacionais
Base de dados:
EMBASE
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Biochimica Clinica
Ano de publicação:
2022
Tipo de documento:
Artigo
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