Internal and emergency medicine
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Respiratory failure related to COVID-19 may evolve into acute respiratory distress syndrome, which may require invasive treatment. Through the analysis of a concrete clinical case, we want to clarify how to manage patients suffering from serious acute pathologies, which require timely intervention, even invasive, but refuse medical treatment. The Italian law 219/2017 states strongly the freedom of the patient to choose, independently whether to start or stop at any time any type of medical treatment through their informed consent. ⋯ The law also provides that if the patient refuses therapies or interventions, putting his life at risk, the doctors need to engage in further communication with the support of other professionals, informing the patient of the consequences, promoting every support action, and involving family members. Judgment on the level of impaired capacity, which makes a patient incompetent to make therapeutic decisions, should ideally reflect the balance between respecting patient autonomy and protecting the patient from the consequences of a wrong decision. For the physicians, it is a matter of balancing the need to save the life of the person, or at least to avoid the establishment of permanent damage, with the subject itself expressly stated, including an explicit refusal to carry out maneuvers or therapies or interventions when it is in danger of life, even if such treatments could save it.
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There are important differences in epidemiology, pathophysiology, HF patterns, prognosis, and treatment. Women have a higher incidence of HFpEF due to sex-specific factors (such as anthropometry, role of estrogens, pregnancy-related cardiomyopathies), increased incidence of comorbidities, and gender-specific conditions. Men instead present a predisposition to the development of HFrEF due to a higher incidence of coronary artery disease and myocardial infarction. ⋯ In addition, a full understanding of gender-specific factors that are studied in small populations is lacking in the literature, and only in recent years, studies have increased their focus on this issue. Understanding how society, family, and environment affect the prognosis of HF patients may help clinicians provide more appropriate levels of care. In this overview, we aimed at summarizing all the key available evidence regarding sex/gender differences in heart failure.
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Review Meta Analysis
High-dose versus low-dose venous thromboprophylaxis in hospitalized patients with COVID-19: a systematic review and meta-analysis.
Hospitalized COVID-19 patients are at high risk of venous thromboembolism (VTE). Standard doses of anticoagulant prophylaxis may not be sufficiently effective for the prevention of VTE. The objective of this systematic-review and meta-analysis was to compare the efficacy and safety of high-dose versus low-dose thromboprophylaxis in hospitalized patients with COVID-19. ⋯ In hospitalized patients with COVID-19, high-dose thromboprophylaxis is more effective than low-dose for the prevention of VTE but increases the risk of major bleeding.
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Awareness of the influence of sex ands gender on the natural history of several diseases is increasing. Community-acquired pneumonia (CAP) is the most common acute respiratory disease, and it is associated with both morbidity and mortality across all age groups. ⋯ More evidence has been produced on the topic during the last decades, and sex- and gender-based differences have also been extensively studied in COVID-19 patients since the beginning of the SARS-CoV-2 pandemic. This review aims to provide an extensive outlook of the role of sex and gender in the epidemiology, pathogenesis, treatment, and outcomes of patients with CAP, and on the future research scenarios, with also a specific focus on COVID-19.
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Machine learning (ML) techniques may improve readmission prediction performance in heart failure (HF) patients. This study aimed to assess the ability of ML algorithms to predict unplanned all-cause 30-day readmissions in HF elderly patients, and to compare them with conventional LACE (Length of hospitalization, Acuity, Comorbidities, Emergency department visits) index. All patients aged ≥ 65 years discharged alive between 2010 and 2019 after a hospitalization for acute HF were included in this retrospective cohort study. ⋯ Among elderly patients, the rate of all-cause unplanned 30-day readmissions after hospitalization due to an acute HF was high. ML models performed better than the conventional LACE index for predicting readmissions. ML models can be proposed as promising tools for the identification of subjects at high risk of hospitalization in this clinical setting, enabling care teams to target interventions for improving overall clinical outcomes.