Objective: In late 2019, the Coronavirus disease 2019 (COVID-19) has been pandemic worldwide, starting in Wuhan, China. In this study, we aimed to evaluate the factors associated with 28-day outcomes in patients admitted to the intensive care unit with the diagnosis of COVID-19. Methods: This study has a retrospective cohort design. COVID-19 patients identified according to World Health Organization guidelines are included. Patient data were recorded to a centralized system utilizing ImdSoft-Meta vision/QlinICU Clinical Decision Support Software. Individual datasets about required parameters were obtained from Structured Query Language (SQL) queries. The main laboratory parameters were examined. SOFA, APACHE II, and Charlson Comorbidity Score (CCS) were calculated. In evaluating laboratory parameters and disease risk scores, which are thought to affect 28-day mortality, logistic analysis were performed using the Backward LR model. Results: The study was carried out with 101 patients, 40 (39.6%) of whom were women, and 61 (60.4%) of men, who met the inclusion criteria. The ages of the patients ranged from 21 to 88, and the mean age was 58.45 ± 15.41 years. The mean intensive care hospitalization period was 12.5 ± 10.2 days. The all-cause in-hospital mortality rate was 61.4%. Leukocyte count, CK, NT-proBNP, PCT, CRP, ferritin, neutrophil count and percentage, D-Dimer, LDH, AST values were found to be significantly higher in non-survivors. The lymphocyte count and percentage, and platelet count values were found to be significantly low in non-survivors. The lymphocyte percentage, LDH, and CCS were significant in the 28-day mortality in multivariate analysis (p values are 0.01, 0.003, 0.008, respectively). Conclusions: High lymphocyte values have been found to significantly reduce the risk of death in patients diagnosed with COVID-19. Lymphocyte percentage, LDH, and CCS were evaluated as the most successful parameters in predicting 28-day mortality in the intensive care unit.
Objectives: Antimicrobial stewardship programs (ASPs) have an important role in the appropriate utilization of antibiotics. Some of the core strategies recommended for ASPs are pre-authorization and prospective audit and feedback. In Turkey, a unique nationwide antibiotic restriction program (NARP) has been in place since 2003. The aim of this study was to measure the effect of a prospective audit and feedback strategy system along with the NARP. Methods: A prospective quasi-experimental study was designed and implemented between March and June 2017. A computerized pre-authorization system was used as an ASP strategy to approve the antibiotics. During the baseline period, patients with intravenous (IV) antibiotic use 72 h were monitored without intervention. In the second period, feedback and treatment recommendations were given to attending physicians in the case of IV antibiotic use 72 h. The modified criteria of Kunin et al. and Gyssens et al. were followed for appropriateness of prescribing. Days of therapy (DOT) and length of stay (LOS) were calculated and compared between the two study periods. Results: A total of 866 antibiotic episodes among 519 patients were observed. A significant reduction in systemic antibiotic consumption was observed in the intervention period (575 vs. 349 DOT per 1000 patient-days; p < 0.001). On multivariate analysis, prospective audit and feedback (odds ratio 1.5, 95% confidence interval 1.09-2.04; p = 0.011) and pre-authorization of restricted antibiotics (odds ratio 1.7; 95% confidence interval 1.2-2.31; p = 0.002) were the predictors of appropriate antimicrobial use. Mean LOS was decreased by 2.9 days (p = 0.095). Conclusions: This study showed that the antimicrobial restriction program alone was effective, but the system should be supported by a tailored ASP, such as prospective audit and feedback.
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