[Potential biomarkers predictors of mortality in COVID-19 patients in the Emergency Department]
| Autor: | F M Arrabal Campos, F Ramasco Rueda, I Granero Cremades, A von Wernitz Teleki, M A Sanz de Benito, A. Figuerola Tejerina, I Monge Lobo, N F Pascual Gómez |
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| Rok vydání: | 2020 |
| Předmět: |
Microbiology (medical)
Blood Glucose Male medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Original Pneumonia Viral Renal function escala de riesgo 030204 cardiovascular system & hematology Risk Assessment Sensitivity and Specificity 03 medical and health sciences Betacoronavirus Leukocyte Count 0302 clinical medicine Pcr test Predictive Value of Tests medicine Odds Ratio Humans score Clinical severity 030212 general & internal medicine Pandemics Aged Retrospective Studies COVID Pharmacology Gynecology Analysis of Variance business.industry Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 emergency Age Factors COVID-19 General Medicine Cross-Sectional Studies Area Under Curve Creatinine Hypertension Female urgencias business Coronavirus Infections Emergency Service Hospital Biomarkers |
| Zdroj: | Revista Española de Quimioterapia |
| ISSN: | 1988-9518 |
| Popis: | espanolObjetivo. Identificar que biomarcadores realizados en la primera analitica de urgencias ayudan a estratificar segun riesgo de mortalidad a pacientes COVID 19. Metodo. Estudio observacional descriptivo y transversal realizado con datos recogidos de los pacientes con sospecha de COVID-19 en el Servicio de Urgencias del 24 de febrero al 16 de marzo del 2020. Se realizo el estudio univariante y multivariante para encontrar los marcadores independientes de mortalidad y calcular el riesgo mediante la construccion de una escala de gravedad. Resultados. Se incluyeron 163 pacientes de los que fallecieron 33 y 29 de ellos resultaron positivos para la prueba PCR COVID-19. Obtuvimos como posibles factores para conformar el score de riesgo de mortalidad edad>75 anos ((OR ajustada=12,347, IC95%: 4,138-36,845 p=0.001), leucocitos totales> 11.000 cel/mm3 (OR ajustada=2,649, IC95%: 0,879-7,981 p=0,083), glucosa> 126 mg/dL (OR ajustada=3,716, IC95%: 1,247-11,074 p=0,018) y creatinina>1,1 mg/dL (OR ajustada= 2,566, IC95%: 0,889-7,403, p=0,081). Este score se denomino COVEB (COVID, Edad, perfil Basico analitico) con un AUC 0,874 (IC95%: 0,816-0,933, p Conclusiones. Las escalas clinicas de gravedad, los biomarcadores de funcion renal, los parametros del recuento leucocitario, el ratio neutrofilos totales/linfocitos y procalcitonina son factores de riesgo tempranos de mortalidad. Destacan las variables edad, glucosa, creatinina y leucocitos totales como mejores predictores de mortalidad. Un score COVEB EnglishObjective. Identify which biomarkers performed in the first emergency analysis help to stratify COVID-19 patients according to mortality risk. Method. Observational, descriptive and cross-sectional study performed with data collected from patients with suspected COVID-19 in the Emergency Department from February 24 to March 16, 2020. The univariate and multivariate study was performed to find independent mortality markers and calculate risk by building a severity score. Results. A total of 163 patients were included, of whom 33 died and 29 of them were positive for the COVID-19 PCR test. We obtained as possible factors to conform the Mortality Risk Score age> 75 years ((adjusted OR = 12,347, 95% CI: 4,138-36,845 p = 0.001), total leukocytes> 11,000 cells / mm3 (adjusted OR = 2,649, 95% CI: 0.879-7.981 p = 0.083), glucose> 126 mg / dL (adjusted OR = 3.716, 95% CI: 1.247- 11.074 p = 0.018) and creatinine> 1.1 mg / dL (adjusted OR = 2.566, 95% CI: 0.889- 7.403, p = 0.081) This score was called COVEB (COVID, Age, Basic analytical profile) with an AUC 0.874 (95% CI: 0.816-0.933, p Conclusions. Clinical severity scales, kidney function biomarkers, white blood cell count parameters, the total neutrophils / total lymphocytes ratio and procalcitonin are early risk factors for mortality. The variables age, glucose, creatinine and total leukocytes stand out as the best predictors of mortality. A COVEB score |
| Databáze: | OpenAIRE |
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