Albumin, Leukosit, And Protrombin As Predictors Of Sepsis Mortality Among Adult Patients In Soetomo General Hospital, Surabaya, Indonesia

albumin leukocyte mortality prothrombin time sepsis

Authors

  • Rahmat Sayyid Zharfan
    zharfan.rs@gmail.com
    Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia, Indonesia https://orcid.org/0000-0002-9877-6637
  • Ahmad Lukman Hakim Department of Pharmacology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia, Indonesia
  • Abdul Khairul Rizki Purba Department of Health Sciences University Medical Centre Groningen, University of Groningen, the Netherlands, Netherlands
  • Soni Sunarso Sulistiawan Department of Anesthesiology and Reanimation, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Indonesia
  • Bambang Pujo Semedi Department of Anesthesiology and Reanimation, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Indonesia
July 30, 2019

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Introduction: Sepsis is presented as acomplex and multifactorial syndrome where the morbidity and mortality rates still high around the world. Strong evidencewith regard to early predictive factors for mortality and morbidity is rare to be provided. Objective: The aim of this study was to analyse the prominent predictors from the values of laboratory findings among patients with sepsis. Method and Material: The study was aan analytic observational study with a case-control approach. The data were extracted from patients's medical records between 2014 and 2015. This study involved 50 septic patients admitted to Dr. Soetomo General Hospital, Surabaya, Indonesia. Blood urea nitrogen (BUN), creatinine serum, albumin, leukocytes count, haemoglobin, hematocrite, platelets, sodium, potassium, chloride, prothrombin time (PT), and activated partial thromboplastin time (APTT) were collected from blood samples. Logistic regression was used to estimate sepsis related mortalities frequencies and the relationship between laboratory findings and under 28-days mortality. Result and Discussion: From 50 patients, 22 patients were died (44%). The regression model was intially conducted using all three biomarkers as covariates, then using backward elimination, the covariate with the highest p-value was eliminated. The process was repeated until covariates with statistically significant remained. Multivariate analysis showed that albumin, leukocytes count, and prothrombin time (PT) were the findings associated with high mortality. The independent predictors of mortality identified by further multivariate regression analysis were taken into account as a lower than 3.5 g/dL of albumin, above12.000/µL of leukocytes count, and prolonged more than 14 seconds of prothrombin time; with p value <0,05 respectively (0.029; 0.049; 0.027). Conclusion: Notably, low albumin level, elevated levels of leukocytes, and prolonged prothrombin time were clinically considered as independent predictors of mortality among adult patients with sepsis.

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