Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19 Patients: A Cross-Sectional Retrospective Study.

Objective: Systemic inflammatory parameters are predictors of poor prognosis in COVID-19 patients. This study evaluated whether the prognostic nutritional index, which was also related to nutrition risk and other inflammation-based prognostic scores, was predictive of in-hospital mortality in COVID-19 patients. Materials and Methods: This was a retrospective cross-sectional single-center study. Based on the exclusion criteria, 151 patients over 18 years old diagnosed with COVID-19 and hospitalized in the intensive care unit between March 2020 and December 2020 were eligible for this study. Multivariable logistic regression analysis was performed to evaluate the predictive value of the Glasgow Prognostic Score (GPS), Prognostic Index (PI), Prognostic Nutritional Index (PNI), and Systemic Inflammatory Index (SII). Results: In the univariate analyses, age, diabetes mellitus (DM), chronic kidney disease, acute kidney injury, hypothyroidism, hospitalization stay, lactate dehydrogenase (LDH), aspartate aminotransferase (AST), D-dimer, ferritin, C-reactive protein (CRP), albumin, hemoglobin level, platelet count, urea, creatinine level, PNI, GPS were significantly associated with mortality. However, in the multivariable logistic regression analysis of the inflammation-based prognostic scores, only PNI was statistically significant in predicting in-hospital mortality (OR=0.83; [95% CI=0.71-0.97]; p =0.019). Conclusion: PNI is a more useful and powerful tool among these inflammation-based prognostic risk scores in predicting in-hospital mortality in COVID-19 patients.

Factors associated with progression of depression, anxiety, and stress-related symptoms in outpatients and inpatients with COVID-19: A longitudinal study.

It is known that there is an increase in the frequency of psychiatric disturbances in the acute and post-illness phase of coronavirus disease (COVID-19). Comorbid psychiatric symptoms complicate the management of patients and negatively affect the prognosis, but there is no clear evidence of their progress. We aimed to determine psychiatric comorbidity in inpatients and outpatients with COVID-19 and recognize the factors that predict psychiatric comorbidity. For this purpose, we evaluated patients on the first admission and after 4 weeks. We investigated psychiatric symptoms in outpatients (n = 106) and inpatients (n = 128) diagnosed with COVID-19. In the first 7 days after diagnosis (first phase), sociodemographic and clinic data were collected, a symptom checklist was constructed, and the Hospital Anxiety and Depression Scale (HADS) and the Severity of Acute Stress Symptoms Scale (SASSS) were applied. After 30-35 days following the diagnosis, the SASSS and the HADS were repeated. In the first phase, the frequency of depression and anxiety were 55% and 20% in inpatients, and 39% and 18% in outpatients, respectively. In the second phase, depression scores are significantly decreased in both groups whereas anxiety scores were decreased only in inpatients. The frequencies of patients reporting sleep and attention problems, irritability, and suicide ideas decreased after 1 month. Patients with loss of smell and taste exhibit higher anxiety and depression scores in both stages. Our results revealed that the rate of psychiatric symptoms in COVID-19 patients improves within 1 month. Inpatients have a more significant decrease in both depression and anxiety frequency than do outpatients. The main factor affecting anxiety and depression was the treatment modality. Considering that all patients who were hospitalized were discharged at the end of the first month, this difference may be due to the elimination of the stress caused by hospitalization.

MELD-XI score predicts in-hospital mortality independent of simplified pulmonary embolism severity index among patients with intermediate-to-high risk acute pulmonary thromboembolism.

INTRODUCTION: Acute pulmonary thromboembolism (PTE) is a highly morbid and fatal condition. Although several risk stratification models exist for prediction of mortality risk in PTE, no study has yet focused on the effect of impaired vital organ function, such as renal or hepatic impairment, on mortality in PTE. MELD-XI (Model for end-stage liver disease excluding INR) score predicts mortality among patients with end-stage hepatic and cardiovascular disorders. Herein, we aimed to test MELD-XI score for predicting in-hospital prognosis of patients with intermediate-to-high risk acute PTE. MATERIALS AND METHODS: We reviewed the medical records patients older than 18 years hospitalized with intermediate-to-high risk PTE between 01.06.2011 and 01.01.2019. Simplified pulmonary embolism severity index (sPESI) score and MELD-XI score were calculated, and in-hospital mortality determined. MELD-XI score was compared between patients with and without in-hospital mortality and was correlated to sPESI score. The predictive power of MELD-XI score for in-hospital mortality was sought and an in-hospital survival analysis with Kaplan Meier curve and log-rank test was done for MELD-XI score. RESULT: A total of 104 patients [mean age of 70.8 ± 15.9 years; 68 (65.4%) females]. Fourteen (13.5%) patients died at hospital. MELD-XI and sPESI scores were significantly correlated to each other and were higher in deceased patients than the survivors [17.3 (IQR 14.3) vs. 10.12 (IQR 2.99); p<0.05 and 2 (IQR 1) vs. 1 (IQR 1); p<0.05, respectively]. MELD-XI score and sPESI score were significant predictor of in-hospital mortality in multivariate analysis. A MELD-XI score ≥ 10.25 had a sensitivity of 78.6% and a specificity of 70.0% for in-hospital mortality. A survival analysis revealed that a high MELD-XI category (MELD-XI score ≥ 10.2) significantly worsened in-hospital survival (p<0.01; log rank test). CONCLUSIONS: MELD-XI score performs well for mortality prediction among patients with intermediate-to-high risk PTE. This subject needs to be further studied by large, randomized controlled studies.