Internal and emergency medicine
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Recurrent pericarditis, an inflammatory syndrome with a pathogenesis not fully elucidated, often presents diagnostic challenges. This study aims to assess the correlation of D-Dimer (D-D) and procalcitonin (PCT) levels with clinical, laboratory and imaging features in recurrent idiopathic pericarditis. We analyzed 412 patients with idiopathic recurrent pericarditis from 2019 to 2023 in our referral center. ⋯ PCT elevation was infrequent and unrelated to any variables. In idiopathic recurrent pericarditis unrelated to specific conditions, we observed a close association between elevated D-D levels and non-specific inflammation markers, including fever, increased CRP, and neutrophil leukocytosis. PCT levels were typically normal or mildly elevated.
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The relationship between sedentary lifestyle and chronic diseases is well known. This study examined the prevalence and factors associated with reduced physical activity (PA) among internal medicine inpatients on admission. In this single-center, cross-sectional study, inpatients aged 50 years or older were prospectively enrolled at a tertiary care facility in Ankara, Türkiye. ⋯ Outdoor walking < 3 days per week (OR: 4.44, 95% CI 1.55 to 12.74, p = 0.006, functional dependence in and outside home (OR: 4.25, 95% CI 1.13 to 15.92, p = 0.032) and EQ-5D VAS score (OR: 0.97, 95% CI 0.95 to 0.99, p = 0.011) were independently associated with low PA level on multivariable logistic regression analysis. This study found low or medium levels of PA in almost nine out of ten admissions to an internal medicine clinic. On the other hand, low PA level was not associated with most classical comorbidities but with altered performance and care indicators.
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The diagnosis of abdominal pain in emergency departments is challenging, and appendicitis is a common concern. Atypical symptoms often delay diagnosis. Although the Alvarado score aids in decision-making, its low specificity can lead to unnecessary surgeries. ⋯ The gradient boosting algorithm achieved a sensitivity, specificity, and accuracy of 89.74%, 95.90%, and 94.41%, respectively. The support vector classifier demonstrated a sensitivity of 89.74%, specificity of 92.62%, and accuracy of 91.93%. The use of modern machine learning methods aids in the accurate diagnosis of appendicitis.
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Observational studies revealed paradoxically inverse associations between diabetes and aortic diseases (aortic aneurysm or aortic dissection), yet the causality remains to be determined. To investigate the causal associations between diabetes and aortic diseases using Mendelian randomization (MR) analyses. Summary-level data for exposures (type 1 diabetes, type 2 diabetes, fasting glucose, fasting insulin, glycated hemoglobin) and outcomes (aortic dissection and aortic aneurysm) were obtained from public genome-wide association study data. ⋯ MR-Egger method and funnel plot yielded no indication of directional pleiotropy. Diabetes had no causal associations with aortic dissection or aortic aneurysm. The observed inverse associations in previous cohort studies may be explained by confounding factors or reverse causation.
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Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, several imaging protocols currently exist and how to best use LUS remains undefined. We aimed at developing a lung ultrasound-based model for AHF diagnosis using machine learning. ⋯ Accuracy in the validation cohort was excellent (AUC = 0.906). Importantly, adding the algorithm on top of a validated clinical score and classical definition of positive LUS scanning for AHF resulted in a significant improvement in diagnostic accuracy (continuous net reclassification improvement = 1.21, P < 0.001). Our simple lung ultrasound-based machine learning algorithm features an excellent performance and may constitute a validated strategy to diagnose AHF.