Internal and emergency medicine
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Randomized Controlled Trial
A machine learning diagnostic model for Pneumocystis jirovecii pneumonia in patients with severe pneumonia.
The diagnosis of Pneumocystis jirovecii pneumonia (PCP) in patients presenting with severe pneumonia is challenging and delays in treatment were associated with worse prognosis. This study aimed to develop a rapid, easily available, noninvasive machine learning diagnostic model for PCP among patients with severe pneumonia. ⋯ We constructed a PCP diagnostic model in patients with severe pneumonia using four easily available and noninvasive clinical indicators. With satisfying diagnostic performance and good clinical practicability, this model may help clinicians to make early diagnosis of PCP, reduce the delays of treatment and improve the prognosis among these patients.
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Cell and cytokine analyses from bronchoalveolar lavage (BAL) in non-critically ill patients with COVID-19 pneumonia are poorly described. This study focused on patients hospitalized in the non-intensive care unit for either suspected COVID-19 pneumonia or persistent respiratory symptoms following proven COVID-19 pneumonia. Overall, 54 patients who underwent BAL between April 2020 and February 2021 for suspected or follow-up of proven COVID-19 pneumonia were included. ⋯ In COVID-19 patients, correlations between IL-10, TNF-α and IFN-γ concentrations were found. Lymphocytic alveolitis with plasmacytosis was found in non-critical COVID-19 pneumonia This alveolitis is associated with the presence of IL-6, IL-8, IL-10, TNF-α, IFN-γ and HGF. Alveolitis and cytokines levels decreased in post-COVID-19 pneumonia.
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Assessment of E/A ratio helps emergency clinicians in the management of patients with acute dyspnea.
Acute dyspnea (AD) is one of the main reasons for admission to the Emergency Department (ED). In the last years integrated ultrasound examination (IUE) of lung, heart and inferior vena cava (IVC) has become an extension of clinical examination for a fast differential diagnosis. The aim of present study is to assess the feasibility and diagnostic accuracy of E/A ratio for diagnosing acute heart failure (aHF) in patients with acute dyspnea. ⋯ However, the highest accuracy was obtained by diastolic function parameters. The E/A ratio showed the highest diagnostic performance with an AUC for aHF of 0.93. In patients presenting with AD, E/A ratio is easy to obtain in a fast ultrasound protocol and showed an excellent accuracy for diagnosis of aHF.