BackgroundPublished data regarding the impact of obesity on COVID-19 outcomes are inconsistent. However, in most studies, body composition was assessed using body mass index (BMI) alone, thus neglecting the presence and distribution of adipose tissue. Therefore, we aimed to investigate the impact of body and visceral fat on COVID-19 outcomes.MethodsObservational, prospective cohort study included 216 consecutive COVID-19 patients hospitalized at University Clinical Center Kragujevac (Serbia) from October to December 2021. Body composition was assessed using the BMI, body fat percentage (%BF), and visceral fat (VF) via bioelectrical impedance analysis (BIA). In addition to anthropometric measurements, variables in the research were socio-demographic and medical history data, as well as admission inflammatory biomarkers. Primary end-points were fatal outcomes and intensive care unit (ICU) admission.ResultsThe overall prevalence of obesity was 39.3% according to BMI and 50.9% according to % BF, while 38.4% of patients had very high VF levels. After adjusting odds ratio values for cofounding variables and obesity-related conditions, all three anthropometric parameters were significant predictors of primary end-points. However, we note that % BF and VF, compared to BMI, were stronger predictors of both mortality (aOR 3.353, aOR 3.05, and aOR 2.387, respectively) and ICU admission [adjusted odds ratio (aOR) 7.141, aOR 3.424, and aOR 3.133, respectively].ConclusionObesity is linked with COVID-19 mortality and ICU admission, with BIA measurements being stronger predictors of outcome compared to BMI use alone.
Lung cancer is the most common cancer, and small-cell lung cancer (SCLC) accounts for around 20 % of lung cancers. SCLC has a neuroendocrine cellular origin, and the tumor cells usually express neuroendocrine markers. There have been major recent advances in the management of SCLC, and multimodal approaches are now the norm. An improved knowledge of the prognostic variables would assist in defining which patients were better candidates to receive these newer intensive therapies. This single-center retrospective study of 97 previously untreated and histologically proven SCLC patients analysed the circulating neuroendocrine markers chromogranin A (CGA), pro-gastrin-releasing peptide (ProGRP), and neuron-specific enolase (NSE) in addition to the other more classical variables. Fifty patients had limited-stage disease and 47 had extensive disease. Sixty patients had an ECOG performance status (PS) of 0-1 and 37 had PS 2-4. Median survival for the whole study population was 13 months. Univariate analysis and univariate Cox regression modeling found a statistically significant association between survival and PS, disease stage, and CGA, ProGRP, and NSE levels. Age and sex were not prognostic. A shorter survival time was found in patients with a PS equal to or >2, extensive stage disease, a serum CGA level >56 ng/ml, a serum ProGRP level >58 pg/ml, and a serum NSE level >19 ng/ml. This study has found that there is a potential role for ProGRP, NSE, and CGA in both staging and prognosing survival in SCLC patients.
The aim of this study was to investigate histamine blood concentration in subjects suffering from different types of ischemic heart diseases during the period of eight days. Our results showed that the histamine blood level was associated with different types of ischemic heart diseases. The blood histamine level in all investigated patients was significantly higher when compared to control subjects (44.87 ± 1.09 ng mL−1), indicating the increase of histamine release in patients suffering from coronary diseases. In patients suffering from ACS-UA and ACS-STEMI, the second day peak of histamine level occurs (90.85 ± 6.34 ng mL−1 and 121.7 ± 6.34 ng mL−1, resp.) probably as the reperfusion event. Furthermore, our data suggest that histamine can be additional parameter of myocardial ischemia along with cardiac specific enzymes and may prove to be an excellent single prognostic marker for multitude of ischemic heart diseases.
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