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.

Mastering coronary angiography requires practice. Cadavers and animals do not accurately represent the human anatomical body, and practicing with actual patients has medical safety issues. Simulation offers safe and realistic conditions for cardiology intervention training. In this study, we propose a novel 3D printed simulator that contains physically realistic anatomy and has four access points. It increases safety for patients and students, and production is low-cost. We aimed to make and validate this simulator design as a prototype for coronary cannulation training. It was designed using computed tomography (CT) scan data of aorta, coronary, and heart models, and was printed by 3D printing with resin materials consisting of 75% or 85% clear resin and 25% or 15% flexible resin additive. The simulator was constructed with a camera above the simulator with a degree of LAO of 30°/0°, a display table, and an acrylic box. Twelve validators were interviewed for their expert opinions and analyzed by a qualitative method. They scored the simulator’s suitability on a four-point Likert scale questionnaire. They described the simulator as having admirable values for all aspects (85.8%), curriculum suitability (92%), educational importance (94%), accuracy (83%), efficiency (78%), safety (87.5%), endurance (81.2%), aesthetics (80.7%), storage (85.4%), and affordability (85.8%).

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.

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.