Can adipokines predict clinical prognosis and post-COVID lung sequelae?

BACKGROUND: Adipokines play an important role in the regulation of inflammatory responses toward infections, including COVID-19. This study aimed to investigate the role of chemerin, adiponectin, and leptin in prognosis and post-COVID lung sequelae in hospitalized patients with COVID-19. METHODS: Serum levels of the three adipokines were measured upon admission of polymerase chain reaction-confirmed patients with COVID-19 who were followed up for 6 months for the clinical outcome and lung sequelae formation. RESULTS: A total of 77 patients were included in the study. Of the 77 patients, 58.4% were males, and the median age was 63.2 ± 18.3 years. Fifty-one patients (66.2%) had a good prognosis. Among adipokines, only chemerin was significantly lower in the bad prognosis group (P < 0.05), and the serum levels showed a negative correlation with age (rho = -0.238; P < 0.05). Leptin levels were negatively correlated with gamma glutamyl transferase levels, which were significantly higher in the bad prognostic group (rho = -0.240; P < 0.05). Twenty-four patients had no lung sequelae, and 20 developed sequelae within 6 months after infection. Chemerin/adiponectin ratio with a cut-off value of 0.96 and an area under the curve 0.679 (P < 0.05) might predict the sequelae formation. CONCLUSIONS: Chemerin levels are lower, especially in patients with a bad prognosis, and the chemerin/adiponectin ratio might predict the development of lung sequelae in patients with COVID-19.

Use of Generalizability Theory Evaluating Comparative Reliability of the Scapholunate Interval Measurement With X-ray, CT, and US.

RATIONALE AND OBJECTIVES: There is no universally accepted standard technique for measuring the scapholunate interval and no specific sources of measurement error have been identified. We aimed to establish a set of normal radiological criteria for the scapholunate interval that could be used in comparative studies of wrist pathology to determine interobserver reliability and to identify potential errors that might influence measurements. MATERIALS AND METHODS: A total of 60 healthy volunteers participated in the study. Scapholunate interval was measured by three independent observers using X-ray, CT, and US in four positions, including neutral, fist, radial and ulnar deviation. Inter-observer reliability was tested using intraclass correlation coefficient. Generalizability theory was applied to evaluate specific sources of measurement error related to participant, observer, imaging modality and measurement position. RESULTS: In neutral position, the scapholunate interval measured by X-ray, CT, and US was 3.1 mm, 3.5 mm and 3.5 mm respectively. The interval remained constant during fist and radial deviation but decreased during ulnar deviation. Correlation coefficients ranged from 0.874 to 0.907 for X-ray, 0.773-0.881 for CT and 0.964-0.979 for US. In the generalizability study, the participant x modality x position interaction accounted for the largest proportion of total variance (29%). CONCLUSION: X-ray, CT, and US are reliable modalities for measuring the scapholunate interval, with US having the highest reliability. Participant and position factors may independently contribute to measurement error. Therefore, standardized measurement positions are recommended to obtain reliable measurement results.

New challenges for management of COVID-19 patients: Analysis of MDCT based "Automated pneumonia analysis program".

PURPOSE: The aim of this study is to define the role of an "Automated Multi Detector Computed Tomography (MDCT) Pneumonia Analysis Program'' as an early outcome predictor for COVID-19 pneumonia in hospitalized patients. MATERIALS AND METHODS: A total of 96 patients who had RT-PCR proven COVID-19 pneumonia diagnosed by non-contrast enhanced chest MDCT and hospitalized were enrolled in this retrospective study. An automated CT pneumonia analysis program was used for each patient to see the extent of disease. Patients were divided into two clinical subgroups upon their clinical status as good and bad clinical course. Total opacity scores (TOS), intensive care unit (ICU) entry, and mortality rates were measured for each clinical subgroups and also laboratory values were used to compare each subgroup. RESULTS: Left lower lobe was the mostly effected side with a percentage of 78.12 % and followed up by right lower lobe with 73.95 %. TOS, ICU entry, and mortality rates were higher in bad clinical course subgroup. TOS values were also higher in patients older than 60 years and in patients with comorbidities including, Hypertension (HT), Diabetes Mellitus (DM), Chronic Obstructive Pulmonary Disease (COPD), Chronic Heart Failure (CHF) and malignancy. CONCLUSION: Automated MDCT analysis programs for pneumonia are fast and an objective way to define the disease extent in COVID-19 pneumonia and it is highly correlated with the disease severity and clinical outcome thus providing physicians with valuable knowledge from the time of diagnosis.