Internal and emergency medicine
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The global pandemic caused by SARS-CoV-2 (COVID-19) has led to significant morbidity and mortality, and unprecedented economic and health system disruption. Non-pharmacologic interventions (NPIs) such as masking and physical distancing have formed the underpinnings of COVID-19 infection control strategies. ⋯ These associations give rise to a number of testable hypotheses regarding the efficacy of NPIs in reducing the substantial burden of NCRIs. Here, we review emerging perspectives on the role of NPIs in NCRI prevention with the ultimate goal of informing future research and public policy development as we move into what may be the endemic phase of the COVID-19 pandemic.
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New management, risk stratification and treatment strategies have become available over the last years for patients with acute pulmonary embolism (PE), potentially leading to changes in clinical practice and improvement of patients' outcome. ⋯ NCT number: NCT03631810.
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There are only a few models developed for risk-stratifying COVID-19 patients with suspected pneumonia in the emergency department (ED). We aimed to develop and validate a model, the COVID-19 ED pneumonia mortality index (CoV-ED-PMI), for predicting mortality in this population. We retrospectively included adult COVID-19 patients who visited EDs of five study hospitals in Texas and who were diagnosed with suspected pneumonia between March and November 2020. ⋯ The model was validated with good discriminative performance (AUC: 0.83, 95% confidence interval [CI]: 0.79-0.87), which was significantly better than the CURB-65 (AUC: 0.74, 95% CI: 0.69-0.79, p-value: < 0.001). The CoV-ED-PMI had a good predictive performance for 1-month mortality in COVID-19 patients with suspected pneumonia presenting at ED. This free tool is accessible online, and could be useful for clinical decision-making in the ED.
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Review
The effectiveness of Glasgow-Blatchford Score in early risk assessment of hemodialysis patients.
In the emergency departments (ED), the incidence of admission is increasing gradually due to gastrointestinal system (GIS) complications of hemodialysis (HD) patients. With this increasing number of patients, there are many classification systems developed in early risk assessment before endoscopy. In this study, we aimed to evaluate the Glasgow-Blatchford Score's (GBS) effectiveness in HD patients with suspected GIS hemorrhage in the ED. ⋯ When the patients were evaluated according to GBS parameters, a significant difference was found between the two groups in terms of pulse pressure, systolic blood pressure, hemoglobin value, melena, and accompanying comorbid diseases (p < 0.05). Of the 16 patients who presented to the ED due to syncope, 2 were in the GIS hemorrhage (+) group, and 14 patients were in the control group. In this study, we aimed to show that the increase in the number of admissions in the ED due to complications secondary to HD treatment and the accompanying serious changes in laboratory parameters may cause misleading results in patients with suspected GIS hemorrhage, and it is necessary to plan comprehensive and multi-center studies on new alternative scoring systems to GBS in specific patient groups such as HD patients.
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To investigate the effects of the dramatic reduction in presentations to Italian Emergency Departments (EDs) on the main indicators of ED performance during the SARS-CoV-2 pandemic. From February to June 2020 we retrospectively measured the number of daily presentations normalized for the number of emergency physicians on duty (presentations/physician ratio), door-to-physician and door-to-final disposition (length-of-stay) times of seven EDs in the central area of Tuscany. Using the multivariate regression analysis we investigated the relationship between the aforesaid variables and patient-level (triage codes, age, admissions) or hospital-level factors (number of physician on duty, working surface area, academic vs. community hospital). ⋯ The proportion of patients with high-priority codes but not the presentations/physician ratio, was inversely related to the proportion of patients with a length-of-stay under 4 h (slope - 0.40, 95% CI - 0.24 to - 0.27, R2 = 0.36). The variability of door-to-physician time and global length-of-stay are predicted by different factors. For appropriate benchmarking among EDs, the use of performance indicators should consider specific, hospital-level and patient-level factors.