Factors Affecting Duration of Hospital Stay in Deceased COVID-19 Patients.

Objective: Extensive research has been conducted to identify the predictive criteria for COVID-19 disease. White blood cell, C-reactive protein, CRP/albumin ratio, neutrophil-to-lymphocyte ratio and ferritin are among the indicators of increased inflammatory response; hence, they could be used to determine the prognosis of COVID-19 cases. Within the scope of this study, we aimed to elucidate the predictivity of NLR, CAR and other laboratory parameters on the duration of hospital stay and mortality in patients with COVID-19. Materials and Method: The data of 1516 COVID-19 patients who were hospitalized in our institution have been analyzed retrospectively. Patients were divided into two groups those who deceased within the first 10 days of hospitalization (Group I, ≤10 days) and those who deceased in the later period (Group II, >10 days). Age, gender, time to mortality after hospitalization, neutrophil count, CRP, neutrophil-to-lymphocyte ratio (NLR), CRP/albumin ratio (CAR), and d-dimer values were obtained from blood samples taken during hospitalization. Results: NLR and CAR values were significantly higher in those who died in the first 10 days compared to the other group (p<0.02 and p<0.001, respectively). In addition, WBC, neutrophil, CRP and d-dimer levels were statistically significantly higher than the other group (p<0.05). Logistic regression analysis results for NLR and CAR were significant. The cut-off values were calculated (5.74 and 4.27, respectively) for both parameters. Among the most common comorbid diseases were hypertension (HT) in 41%, coronary artery disease (CAD) in 41.7%, asthma-chronic obstructive pulmonary disease (COPD) in 36.7%, diabetes mellitus (DM) in 36.1%. Conclusion: NLR and CAR may have a decisive influence in determining the length of stay in hospital for patients who die in hospital due to COVID-19. In addition, it is recommended that COVID-19 cases with diabetes be followed closely.

Assessment of Long-Term Sequelae of Pulmonary Dysfunction Associated with COVID-19 Using Pulmonary Pulse Transit Time.

Background: Studies report deleterious impacts of severe acute respiratory syndrome coronavirus 2 on multiple organs in the human body, not only in the acute infection period but also in the long-term sequelae. Recently defined pulmonary pulse transit time (pPTT) was found to be a useful parameter regarding the evaluation of pulmonary hemodynamics. The purpose of this study was to determine whether pPTT might be a favorable tool for detecting the long-term sequelae of pulmonary dysfunction associated with coronavirus disease 2019 (COVID-19). Materials and Methods: We evaluated 102 eligible patients with a prior history of laboratory-confirmed COVID-19 hospitalization at least 1 year ago and 100 age- and sex-matched healthy controls. All participants' medical records and clinical and demographic features were analyzed and underwent detailed 12-lead electrocardiography, echocardiographic assessment, and pulmonary function tests. Results: According to our study, pPTT was positively correlated with forced expiratory volume in the 1st s, peak expiratory flow, and tricuspid annular plane systolic excursion (r = 0.478, P < 0.001; r = 0.294, P = 0.047; and r = 0.314, P = 0.032, respectively) as well as negatively correlated with systolic pulmonary artery pressure (r = -0.328, P = 0.021). Conclusion: Our data indicate that pPTT might be a convenient method for early prediction of pulmonary dysfunction among COVID-19 survivors.