Pulmonary-specific quality of life and dyspnea among patients hospitalized for coronavirus disease 2019: Evaluation of patient groups 1, 3 and 6 months after discharge.

BACKGROUND: Shortand long-term lung damage after coronavirus disease 2019 (COVID-19) has been emphasized in many studies, but pulmonary-specific health-related quality of life (HRQOL) has been examined only in a limited capacity. OBJECTIVES: In this study, we aimed to assess pulmonary-specific HRQOL and dyspnea among patients hospitalized for COVID-19 by applying the St George's Respiratory Questionnaire (SGRQ) to patient groups 1, 3 and 6 months following discharge (groups T1, T3 and T6). MATERIAL AND METHODS: This cross-sectional study was conducted between April 2020 and December 2020 at a tertiary hospital in Turkey. A total of 345 patients with a definite diagnosis of COVID-19 were included in our research. RESULTS: Total SGRQ score was significantly lower in the T6 group than in the T1 group (p < 0.001). The SGRQ-Symptom score was similar in the T3 and T6 groups, while the T1 group had significantly higher values (p < 0.001). The SGRQ-Activity score was significantly lower in the T6 group than in the T1 and T3 groups (p = 0.001), while the SGRQ-Impact score was significantly higher in the T6 group compared to the other 2 groups (p < 0.001). When the patients were analyzed statistically in terms of dyspnea, the difference between the baseline and 6-month results was found to be statistically significant (p < 0.001). CONCLUSIONS: Although long-term consequences are still not fully known, the SGRQ scores and dyspnea outcomes of our patients show that pulmonary-specific HRQOL and dyspnea remain at a similar level from discharge until the 6th month after discharge. Studies with extended and longitudinal follow-up are required.

Comparison of Initial CT Findings and CO-RADS Stage in COVID-19 Patients with PCR, Inflammation and Coagulation Parameters in Diagnostic and Prognostic Perspectives.

Objectives: This study aims to determine whether COVID-19 patients with different initial reverse transcriptase-polymerase chain reaction (RT-PCR), computed tomography (CT) and laboratory findings have different clinical outcomes. Materials and Methods: In this multi-center retrospective cohort study, 895 hospitalized patients with the diagnosis of COVID-19 were included. According to the RT-PCR positivity and presence of CT findings, the patients were divided into four groups. These groups were compared in terms of mortality and need for intensive care unit (ICU). According to the COVID-19 Reporting and Data System (CO-RADS), all patients' CT images were staged. Multivariate binary logistic regression analysis was used to examine the relationship between CO-RADS and predictive inflammation and coagulation parameters. Results: RT-PCR test positivity was 51.5%, the CT finding was 70.7%, and 49.7% of the patients were in the CO-RADS 5 stage. The need for ICU and mortality rates was higher in the group with only CT findings compared to the group with only RT-PCR positivity, (14.9% vs. 4.0%, p < 0.001; 9.3% vs. 3.3%, p > 0.05; respectively). Mortality was 3.27 times higher in patients with CO-RADS 4 compared to those with CO-RADS 1-2. Being in the CO-RADS 4 stage and LDH were discovered to be the most efficient parameters in determining mortality risk. Conclusion: Performing only the RT-PCR test in the initial evaluation of patients in SARS-CoV-2 infection may lead to overlooking groups that are more at risk for severe disease. The use of a chest CT to perform CO-RADS staging would be beneficial in terms of providing both diagnostic and prognostic information.

Evaluation of N/LP Ratio as a Predictor of Disease Progression and Mortality in COVID-19 Patients Admitted to the Intensive Care Unit.

Objective: This research aimed to evaluate whether the neutrophil to lymphocyte and platelet (N/LP) ratio may be used to predict the risk of admission to the intensive care unit (ICU), the need for mechanical ventilation and in-hospital mortality in Coronavirus disease 2019 (COVID-19) cases. Methods: The study was conducted retrospectively on the data of 134 COVID-19 patients who were admitted to the ICU. The N/LP ratio was calculated as follows: neutrophil count x 100 / (lymphocyte count x platelet count). Each member of the research cohort was categorised into 1 of 2 groups based on their survival status (survivor and non-survivor groups). Results: In total, 82 (61%) patients died during the ICU stay. Patients who required mechanical ventilation and died in the ICU stay had significantly higher N/LP ratio than those who did not require it and survived [10 (IQR=4.94-19.38) vs 2.51 (IQR=1.67-5.49), p<0.001] and [11.27 (IQR=4.53-30.02) vs 1.65 (IQR=1-3.24), p<0.001], respectively. The N/LP ratio was linked with the requirement of mechanical ventilation and in-hospital death according to multivariable analysis. In receiver operating characteristic curve analysis, we found that N/LP in predicting admission to the ICU was >4.18 with 61% sensitivity and 62% specificity, it was >5.07 with 74% sensitivity and 73% specificity for the need for mechanical ventilation, and >3.69 with 81% sensitivity and 81% specificity to predict in-hospital death. Conclusion: To our knowledge, this is the first study showing that the N/LP ratio, which is a novel and widely applicable inflammatory index, may be used to predict the risk of ICU admission, mechanical ventilation and in-hospital death in patients with COVID-19 disease.

Assessment of severity and mortality of COVID-19 with anti-A1 and anti-B IgM isohaemagglutinins, a reflection of the innate immune status.

AIMS: The relationship between the innate immune system that creates the polysaccharide antibody response and COVID-19 is not fully understood. In this study, it was aimed to determine the predictive values of isohaemagglutinins in COVID-19 severity/mortality. METHODS: Approximately 15 440 patients diagnosed with COVID-19 were examined, and a total of 286 patients with anti-B and anti-A1 IgM isohaemagglutinins test results were randomly enrolled in the study. These patients were stratified into two groups according to anti-A1 (n: 138 blood type B or O) and anti-B (n: 148 blood type A) IgM isohaemagglutinins. Anti-A1 or/and anti-B IgM, biochemical parameters, symptoms, chronic diseases, hospitalisation status, intubation status, admission to intensive care unit (ICU) and exitus status were recorded and evaluated for all patients. RESULTS: Anti-A1 IgM and anti-B IgM were significantly lower in ICU patients (7.5 ± 9.9 vs 18.0 ± 20.4 and 5.5 ± 6.3 vs 19.3 ± 33.6 titres, respectively; P < .01) and in exitus patients (3.8 ± 3.6 vs 16.7 ± 18.7 and 3.5 ± 4.7 vs 16.9 ± 29.6 titres respectively; P < .01). In the ROC analysis performed to differentiate between exitus and discharge within groups, the sensitivity of anti-B IgM and anti-A1 IgM at cut-off ≤4 was 88.9% and 79.6%, specificity 66.0% and 73.4%, and AUC 0.831 and 0.861, respectively (P < .01). Anti-A1 IgM decreased the mortality risk 0.811 times per unit while anti-B IgM decreased 0.717 times (P < .01). CONCLUSION: Anti-B and anti-A1 isohaemagglutinins, which are an expression of the innate immune system, can be used to predict the severity and mortality of COVID-19 disease.

Long-term proton pump inhibitor use is a risk factor for mortality in patients hospitalized for COVID-19

Background and aim: The aim of this study is to evaluate whether the long-term (≥4 weeks) use of proton pump inhibitors (PPIs) is a risk factor for intubation requirement and mortality in patients hospitalized for COVID-19. Materials and methods: In this multicentric retrospective study, a total of 382 adult patients (≥18 years of age) with confirmed COVID-19 who were hospitalized for treatment were enrolled. The patients were divided into two groups according to the periods during which they used PPIs: the first group included patients who were not on PPI treatment, and the second group included those who have used PPIs for more than 4 weeks. Results: The study participants were grouped according to their PPI usage history over the last 6 months. In total, 291 patients did not use any type of PPI over the last 6 months, and 91 patients used PPIs for more than 4 weeks. Older age (HR: 1.047, 95% CI: 1.026­1.068), current smoking (HR: 2.590, 95% CI: 1.334­5.025), and PPI therapy for more than 4 weeks (HR: 1.83, 95% CI: 1.06­2.41) were found to be independent risk factors for mortality. Conclusion: The results obtained in this study show that using PPIs for more than 4 weeks is associated with negative outcomes for patients with COVID-19. Patients receiving PPI therapy should be evaluated more carefully if they are hospitalized for COVID-19 treatment.

Predictive Value of CAR for In-Hospital Mortality in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study.

BACKGROUND: In the current literature, there is a growing evidence that supports the significant role of inflammation in the progression of viral pneumonia, including patients with coronavirus disease 2019 (COVID-19). AIM: The present study aimed to investigate the predictive value of C-reactive protein/albumin ratio (CAR) for in-hospital mortality in patients with COVID-19. MATERIAL AND METHODS: This retrospective study included the data of 275 consecutive COVID-19 patients who were hospitalized in a referral pandemic center. The CAR ratio was obtained by dividing the CRP level with albumin level. The study population was divided into tertiles (T1, T2, and T3) according to their admission CAR values. The endpoint of the study was a composite outcome of in-hospital mortality. RESULTS: During the in-hospital course, 33 (12%) patients died. The patients classified into T3 group had significantly higher CAR compared those classified into T2 and T1 groups. After the adjustment for the confounders, T3 group had 8.2 (95% CI: 4.2-48.1) times higher rates of in-hospital mortality compared to T1 group (the reference group) in a logistic regression model using CAR values. CONCLUSION: To the best of our knowledge, this is the first study to demonstrate the predictive value of CAR for in-hospital mortality in COVID-19 patients.