Internal and emergency medicine
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In the past, the use of face masks in western countries was essentially limited to occupational health. Now, because of the COVID-19 pandemic, mask-wearing has been recommended as a public health intervention. As potential side effects and some contraindications are emerging, we reviewed the literature to assess the impact of them in daily life on patient safety and to provide appropriate guidelines and recommendations. ⋯ Even if benefits of wearing face masks exceed the discomfort, it is recommended to take an "air break" after 1-2 h consecutively of mask-wearing. However, well-designed prospective studies are needed. The COVID-19 pandemic could represent a unique opportunity for collecting large amount of real-world data.
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Chronic kidney disease is a risk factor for cardiovascular events. Smoking and chronic obstructive pulmonary disease (COPD) are risk factors for renal impairment. The aim of this study was to test the combined effect of smoking and COPD on renal function decline in hypertensives. ⋯ At interaction analyses, smoking significantly modified the effect of COPD on e-GFR and COPD significantly modified the effect of smoking on e-GFR, indicating a competitive interaction between smoking and COPD in the appearance of renal damage. e-GFR was 35 ml/min/1.73 m2 lower in patients with COPD than in those without; this reduction was of higher magnitude than that found between COPD and COPD-free patients among smokers (19 ml/min/1.73 m2). Smoking and COPD competitively interact in the appearance of renal function decline. These results suggest to screen for kidney damageboth smokers and COPD patients, especially those with both conditions.
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Predict in advance the need for hospitalization of adult patients for fall-related fractures based on information available at the time of triage to help decision-making at the emergency department (ED). ⋯ Using limited data available at the time of triage, we developed four machine learning models aimed at predicting hospitalization for patients presenting to the ED for fall-related fractures. All the four models were robust and performed well. Neural network method, however, performed the best for both pre- and post-models. Simple, parsimonious machine learning models can provide high accuracy for predicting hospital admission.
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The subsequent waves of the COVID-19 pandemic in Italy had a major impact on cardiac care. ⋯ The dramatic and profound derangement in arrhythmia management that characterized the first wave of the COVID-19 pandemic was followed by a progressive return to the volume of activities of the pre-pandemic periods, even if with different temporal dynamics and some heterogeneity. Remote monitoring was largely implemented during the first wave, but full implementation is needed.
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Over the past few years, COVID-19 pandemic has imposed a high toll worldwide, with a high burden of morbidity and mortality. Healthcare practitioners (HCPs) have been in the frontline since the beginning of the outbreak, and the high level of stress have affected their physical and mental status, as well as their relationships. We aimed at exploring the self-reported changes in comprehensive well-being in a cohort of Italian physicians. ⋯ Moreover, familiar and doctor-patient relationships were also considerably affected. Physicians have been suffering a wide spectrum of physical, mental and relational consequences during COVID-19 pandemic, with youngest doctors being more likely to present several physical and mental health symptoms. Further studies are needed to evaluate long-term consequences of COVID-19 pandemic on the well-being of HCPs, and potential preventive strategies.