ABSTRACT
OBJECTIVE: Coronavirus disease 2019 is a disease caused by severe acute respiratory syndrome coronavirus 2, a novel type of coronavi- rus, which causes pneumonia in some hosts. No specific scoring method exists for mortality evaluation in novel coronavirus pneumonia. The aim of this study was to investigate factors affecting coronavirus disease 2019 mortality and comparison of pneumonia scoring sys- tems, pneumonia severity index, CURB-65, and MuLBSTA. MATERIAL AND METHODS: In this single-center clinical study, 151 patients who had been diagnosed with coronavirus disease 2019 infection and pneumonia between March 11 and May 31, 2020, were evaluated retrospectively. Correlation between patients' symptoms, comorbidities, drugs in use, radiological findings, and mortality was investigated. Parameters were also evaluated regarding their contribution to additional treatment requirements and days of fever response. RESULTS: A correlation between mortality and higher scores of pneumonia severity index, CURB-65, and MuLBSTA was found. When parameters were investigated separately, elevated glucose and urea levels, presence of diabetes, renal failure, hypertension, chronic obstructive pulmonary disease, cerebrovascular events and known malignancies, lymphocyte count, smoking history, radiological find- ings, and age correlated with mortality. In addition to these parameters, elevated calcium, potassium, brain natriuretic peptide, troponin, d-dimer, C-reactive protein, HC03, and lactate dehydrogenase levels were found significant regarding mortality. These parameters were not found statistically relevant regarding additional treatment requirement, fever response day, and total treatment duration. CONCLUSION: A modified version of present pneumonia scoring systems will be required to rigorously evaluate the severity of a patient's condition. A new scoring system that uses components of the present ones may prove useful and with further studies, a similar follow-up algorithm may be created.
ABSTRACT
OBJECTIVE: To evaluate the association between the degree of emphysema on computed tomography (CT) images and disease severity, in order to predict the clinical characteristics of patients with chronic obstructive pulmonary disease (COPD). STUDY DESIGN: Cross-sectional, observational study. PLACE AND DURATION OF STUDY: University of Health Sciences, Diskapi Training and Research Hospital, Ankara, Turkey between January 2016 and January 2017. The analysis of the medical records of patients was performed in December 2020. METHODOLOGY: Clinically diagnosed COPD patients were included in this study. Based on emphysema severity on CT, the patients were classified into three groups as group I (n=59), group II (n=37), and group III (n=20), and emphysema was not present in the remaining 15 patients. The associations between emphysema severity and the GOLD stage, mMRC dyspnea score and exacerbation frequency were analysed with Chi-square test. RESULTS: In 131 patients, the severity and presence of emphysema was found to be significantly associated with smoking history (p=0.034). However, no significant differences were observed between emphysema severity and exacerbation frequency (p=0.512) and mMRC dyspnea scores (p=0.110). The severity of emphysema was related with the GOLD stage (p=0.001). There was also a significant association between BMI and severity of emphysema, with the severe emphysema cases tending to be underweight (p=0.001). CONCLUSION: CT-emphysema severity can be used to classify COPD to assist in the clinical characterisation of patients. This type of classification is important to determine the underlying pathophysiology and genomic profile of COPD. Key Words: Chronic obstructive pulmonary disease, Computed tomography, Emphysema.
