Background: The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19. Methods: This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers. Results: Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI ( P < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, P = .004), NLR (⩾6.27, P = .012), and PNI (⩽40.2, P = .009) were independent predictors associated with mortality in severe COVID-19 patients. Conclusions: The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.

Objective: The effect of the COVID-19 pandemic on mental health in the long term is unclear. We evaluated severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)–related transmission fear and mental-health disorders in populations at high risk for COVID-19. Materials and Methods: Healthcare workers and patients with primary immunodeficiency disorders (PIDs), severe asthma, malignancy, cardiovascular disease, hypertension, and diabetes mellitus were included in the study. The hospital anxiety and depression scale (HADS) and Fear of Illness and Virus Evaluation (FIVE) scales were applied during face-to-face interviews. Results: There was a total of 560 participants, 80 per group; 306 (55%) were female. The FIVE and HADS-A scale scores of health care workers were significantly higher than the other groups (p = 0.001 and 0.006). The second-highest scores were in patients with PID. There was no significant difference between the groups in HADS-D scores (p = 0.07). There was a significant positive correlation between FIVE scale scores and anxiety (r = 0.828; p < 0.001) and depression (r = 0.660; p < 0.001). The FIVE scale had significant discriminatory power for anxiety (AUC = 0.870, 95% confidence interval [CI] = 0.836–0.904; p < 0.0001) and depression (area under the curve = 0.760, 95% CI = 0.717–0.803; p < 0.0001). Conclusion: During the COVID-19 pandemic, mental-health disorders may develop in patients with comorbidities, especially healthcare workers. They should be referred to mental-health centers. Keywords: Asthma, COVID-19, fear of virus transmission, mental health, primary immunodeficiency

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To evaluate the difference of progression free survival between the patients using concomitant proton pump inhibitors and non-users in the patients using CDK 4/6 inhibitors with HR + and HER2 negative mBC. MethodsWe included 86 patients with HR + and HER 2 negative mBC treated with CDK 4/6 inhibitors in this study.Patients were divided into two categories according to their status of PPI use. The primary end points was progression free survival(PFS). We compared PPI users and non-users. ResultsForty-ve (52.3%) patients used a PPI concomitantly with a CDK 4/6 inhibitor, and 41 (47.7%) did not. The median duration of follow-up was 10.68 (1.94-27.56) months. Of the patients; 50 (58.1%) palbociclib and 36 (41.9%) received ribociclib. The median progression free survival (mPFS) was 10.9 months (95% CI: 7.5-14.27) in the group with concomitant PPI use with a CDK 4/6 inhibitor, whereas the median progression free survival could not be reached in the group without concomitant PPI use (p = 0.04). In addition, concomitant PPI use with palbociclib was associated with a shorter PFS, there was no signi cant difference between the concomitant PPI users and non-users in terms of PFS in the patients using ribociclib. ConclusionPalbociclib and ribociclib are weak base drugs so their bioavailability is pH-dependent. PPIs can affect their solubility and their concentration in the plasma. Therefore we must avoid concomitant use of PPIs and CDK 4/6 inhibitors. If we need to use concomitant PPI and CDK 4/6 inhibitors, we should prefer ribociclib than palbociclib.

As the Modified Anticoagulation and Risk Factors in Atrial Fibrillation Risk Score (M-ATRIA-RS) encompasses prognostic risk factors of novel coronavirus-2019 (COVID-19), it may be used to predict in-hospital mortality. We aimed to investigate whether M-ATRIA-RS was an independent predictor of mortality in patients hospitalized for COVID-19 and compare its discrimination capability with CHADS, CHA2DS2-VASc, and modified CHA2DS2-VASc (mCHA2DS2-VASc)-RS. A total of 1,001 patients were retrospectively analyzed and classified into three groups based on M-ATRIA-RS, designed by changing sex criteria of ATRIA-RS from female to male: Group 1 for points 0-1 (n=448), Group 2 for points 2-4 (n=268), and Group 3 for points ≥5 (n=285). Clinical outcomes were defined as in-hospital mortality, need for high-flow oxygen and/or intubation, and admission to intensive care unit. As the M-ATRIA-RS increased, adverse clinical outcomes significantly increased (Group 1, 6.5%; Group 2, 15.3%; Group 3, 34.4%; p <0.001 mortality for in-hospital). Multivariate logistic regression analysis showed that M-ATRIA-RS, malignancy, troponin increase, and lactate dehydrogenase were independent predictors of in-hospital mortality (p<0.001, per scale possibility rate for ATRIA-RS 1.2) . In receiver operating characteristic (ROC) analysis, the discriminative ability of M-ATRIA-RS was superior to mCHA2DS2-VASc-RS and ATRIA-RS, but similar to that Charlson Comorbidity Index (CCI) score (AUC M-ATRIA vs AUC ATRIA Z-test=3.14 p=0.002, AUC M-ATRIA vs. AUC mCHA2DS2-VASc Z-test=2.14, p=0.03; AUC M-ATRIA vs. AUC CCI Z-test=1.46 p=0.14). M-ATRIA-RS is useful to predict in-hospital mortality among patients hospitalized with COVID-19. In addition, it is superior to the mCHA2DS2-VASc-RS in predicting mortality in patients with COVID-19 and is more easily calculable than the CCI score.