Medicina clinica
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Letter Case Reports
Pulmonary and mediastinal nocardiosis due to lymph node involvement.
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Multicenter Study
Classification tree obtained by artificial intelligence for the prediction of heart failure after acute coronary syndromes.
Coronary heart disease is the leading cause of heart failure (HF), and tools are needed to identify patients with a higher probability of developing HF after an acute coronary syndrome (ACS). Artificial intelligence (AI) has proven to be useful in identifying variables related to the development of cardiovascular complications. ⋯ The decision tree model, obtained by AI, identified 8 leading variables capable of predicting HF and generated 15 differentiated clinical patterns with respect to the probability of being hospitalized for HF. An electronic application was created and made available for free.
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The current evaluation of acute heart failure (HF) does not allow an adequate prediction of its evolution. The electrical bioimpedance (BI) allows knowing the state of blood volume, until now only with fixed equipment. We have developed and validated a portable and wireless device to measure BI at the ankle (IVOL). The objective of the study is to know the long-term prognostic value of the point measurement of BI with IVOL in patients with acute HF. ⋯ BI values measured with IVOL may be an independent predictor of long-term mortality in patients hospitalized for acute HF. This prognostic value is maintained in patients without preserved LVEF function and with RV dysfunction.
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Transbronchial needle aspiration guided by endobronchial ultrasonography (EBUSTBNA) has the disadvantage of sometimes offering samples of an unsuitable size for an accurate histo-molecular diagnosis. Transbronchial mediastinal cryobiopsy (CRYOEBUS) is a very novel and additional technique to EBUS-TBNA that allows us to obtain larger and quality samples, improving diagnostic performance. ⋯ The CRYO-EBUS technique is cost-effective and safe, and is superior to EBUS-TBNA. Future studies may confirm our findings.