Biomarkers as Mortality Predictors in Severely ill Patients with Infections

• Main Authors: José Antonio Candel Herrero, Yordanys Páez Candelaria, Lázaro Ibrahin Romero García, Hidelisa Herrero Aguirre, Denise Bringuez Segura
• Format: Article
• Language: Spanish
• Published: Centro Nacional de Información de Ciencias Médicas. Editorial de Ciencias Médicas (ECIMED) 2020-05-01
• Series: Revista Cubana de Anestesiología y Reanimación
• Subjects: biomarcadores; sepsis; unidad de cuidados intensivos
• Online Access: http://www.revanestesia.sld.cu/index.php/anestRean/article/view/639

<p><strong>Introduction</strong>: Currently, biomarkers are being sought that become modified in parallel with the natural history of sepsis.</p><p><strong>Objective</strong>: To describe the variations in C-reactive protein, erythrocyte sedimentation and eosinophil count in severely-ill patients with infectious disease at different stages.</p><p><strong>Method</strong>: An applied and analytical cohort research was carried out, according to the state of the subject, scope and applicability of the outcomes. It was carried out in severely-ill patients with infectious diseases admitted to the intensive care unit of the Saturnino Lora Hospital, from March 2018 to March 2019. The study population was made up after applying the inclusion and exclusion criteria in 41 patients, 21 deceased and 20 alive. The variables studied were age, sex, origin, severity, and monitoring of the infectious process, biomarkers of inflammatory response and infection, and discharge status. For the processing of statistical information, mean values were used as summary measures for quantitative variables and percentages for qualitative variables. For the statistically significant association between the criteria of interest, the chi-square Independence test was applied.</p><p><strong>Results</strong>: Sepsis was more frequent among male patients in intermediate ages of life, mainly of respiratory origin; while eosinopenia was the biomarker that was most altered at different moments of the investigation</p><p><strong>Conclusion</strong>: The biomarker associated with sepsis that was most altered at different times of the study was eosinopenia, with the greatest association as a predictor for mortality at the different times when the analysis was performed.</p>