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Survival Study of D-dimer, Lactic Acid and BGA on COVID-19 Patients Purwadi Sujalmo; Rosita Yunanda Purwanto; Clarista Ardelia Rahardjo; Yanasta Yudo Pratama; Rochmi Isnaini Rismawanti; Wandira Lalitya; Afridhia Bidari Fachrudin
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 29 No. 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.1966

Abstract

The value of D-dimer value, lactic acid levels, and the results of blood gas analysis (PaO2, PCO2, PH, and PaO2/FiO2) are prognostic factors for COVID-19 patients, although there is no agreement on the optimum cut-off point for specificity and sensitivity. The aim of this study is to examine D-dimer value, lactic acid levels, and the results of blood gas analysis as a prognosis for patients with severe or critical COVID-19. This was a retrospective study of the medical records of the UGM Academic Hospital. Overall survival was assessed by the Kaplan-Meier curve. Determination of the cut-off for D-dimer, lactic acid, and BGA variables was carried out using the ROC followed by calculating the Youden index. Then the hazard ratio was determined by Cox regression. The cut-off value to determine the group of patients on the D-dimer and lactic acid variable was 881 ng/mL (sensitivity 77.23%, specificity 32.31%) (p=0.040) and 21 ng/mL, patients with lactic acid values above the cut-off had a higher risk of death (p=0.391). The cut-off of pH, PaO2, and PaCO2 were 7.43, 72.2 mmHg, and 33.9, respectively. D-dimer levels, lactic acid, and PaCO2 values in blood gas analysis above the cut-off value had a worse survival rate, while patients also had a worse survival rate if the PaO2 and PH values were below the cut-off value.
Study of Survival of COVID19 Patients with Severe or Critical Symptoms: Study of D-dimer on Survival of COVID19 Patients with Severe or Critical Degrees in ICU COVID, Academic Hospital, Gadjah Mada University, Yogyakarta Purwadi Sujalmo; Rosita Yunanda Purwanto; Rochmi Isnaini Rismawanti; Yanasta Yudo Pratama; Wandira Lalitya; Afridhia Bidari Fachrudin
Academic Hospital Journal Vol 4, No 1 (2022)
Publisher : Rumah Sakit Akademik Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ahj.v4i1.71798

Abstract

The SARS-CoV 2 virus pandemic has been a scourge since 2020. The number of cases that continues to increase, both mild, moderate, severe-critical confirmed cases are directly proportional to the need for treatment rooms, both ordinary wards and intensive care units (ICU), which is inversely proportional to the available capacity. room. Based on research, the high mortality and morbidity rate due to COVID 19 is due to the incidence of patient sepsis. Research abroad states that the value of D-dimer is a prognostic factor for COVID-19 patients, although there is no agreement on the best cut-off point for specificity and sensitivity. hypercoagulability conditions and increased lactic acid in patients with severe sepsis. It is necessary to evaluate the role of this laboratory result in estimating the prognosis of COVID-19 patients in Indonesia. There is no study that examines the relationship between the incidence of sepsis and the characteristics of hypercoagulability with the dominance of the thrombotic process in COVID19 patients in Indonesia. The purpose of this study was to provide information to health workers about the role of D-dimer value as a prognostic factor for severe-critical COVID-19 patients. This quantitative retrospective research data in the form of proportions were collected for 12 months from the medical records of the UGM Academic Hospital of patients with confirmed severe-critical COVID-19. Overall survival was assessed by the Kaplan-Meier curve. The cut-off determination for the D-dimer variable was carried out using the Receiver Operating Curve (ROC) followed by the calculation of the Youden index. Then the hazard ratio was determined by cox regression with a p value of <0.05 which was considered significant. Statistical analysis with SPSS version 26 software.