Ölmez, Hasan; Tosun, Mustafa

Clinical and laboratory parameters are useful tools to improve success rates in the management of COVID-19 patients. Indices such as NLR, PLR, MHR, SII, AIP and CAR may indicate poor prognosis in predicting poor prognosis in COVID-19. It was aimed to identify such parameters of disease progression in COVID-19 patients by examining demographic data, comorbid conditions, some biochemical and hematological parameters. A retrospective analysis was performed for patients admitted to intensive care unit or pulmonary diseases department or treated on an outpatient basis due to a diagnosis of COVID-19. Patients with positive PCR test and thoracic CT compatible with COVID-19 pneumonia were included in the study. A control group was formed from volunteers of similar age and gender. The study population was divided into four groups as follows: patients admitted to intensive care unit (ICU group); patients admitted to chest diseases department (Inpatient Group); patients treated on an outpatient basis (Outpatient Group); and controls (Control Group). There were 61, 201, and 30 patients in the ICU, inpatient, and outpatient groups, respectively. A total of 96 subjects served as controls. Study groups were comparable with respect to gender distribution. ICU patients had higher NLR, PLR, AIP, SII, and CAR, and lower LMR as compared to other groups. NLR, SII, AIP, and CAR emerged as predictors of ICU admission, while MHR was predictive of inpatient treatment. Certain clinical and laboratory parameters may be useful tools for improving the success of COVID-19 management. High NLR, SII, AIP, CAR, and MHR values may indicate low prognosis in COVID-19 patients.

Karavaş, Erdal; Aydin, Sonay; Ünver, Edhem; Kupeli, Ali; Tosun, Mustafa

Chronic Obstructive Pulmonary Disease (COPD) is diagnosed with pulmonary function tests (PFTs). However, since not all patients can be diagnosed with PFTs, some are diagnosed with radiological or clinical findings. The purpose of this study was to define the properties of obstructive airway disease through thoracic computed tomography (CT) and to identify the diagnostic efficacy of CT findings. A total of 160 patients who underwent PFT and thoracic CT assessment July 2018 - January 2019, were retrospectively analyzed. Based on PFT findings, patients were categorized into three groups as having normal, restrictive or obstructive airways. Age, height, weight, and body mass indexes of the groups were recorded. Pulmonary height, width, right-left hemi-diaphragm height, sterno-diaphragmatic angle and retrosternal transparent area length in axial sections were also recorded. Diagnostic efficacies of these parameters in the detection of obstructive airway disease were measured. Of the 160 patients (109 males, 51 females; mean age = 59.5), 91 (56.9) had normal PFT, 58 (36.2%) had obstructive and 11 (6.9%) had restrictive airway disease. Pulmonary height, width, sterno-diaphragmatic angle, and retrosternal transparent area length were significantly higher in patients with obstructive airway disease while the right-left hemi-diaphragm height was significantly lower (p<0.001). About 60-75% sensitivity and specificity were obtained when identifying the obstructive airway disease with these parameters. These values obtained from the axial and sagittal sections could contribute to the diagnosis of obstructive airway disease.