Internal and emergency medicine
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Atrial fibrillation is the most common arrhythmia and its prevalence is expected to further increase. Patients with atrial fibrillation have an increased risk of stroke (fivefold increased risk), heart failure, and death. In patients with non-valvular atrial fibrillation, the most recent guidelines recommend the use of the CHA2DS2-VASc (congestive heart failure, arterial hypertension, age > 75 years, diabetes mellitus, stroke/transient ischemic attack, vascular disease, age 65-74 years, sex category) scoring system to identify those who may benefit from oral anticoagulant treatment. ⋯ Both prospective and observational studies using transthoracic echocardiography prediction of events and studies utilizing transesophageal echocardiographic parameters as surrogate markers of thromboembolic events make sustainable the hypothesis that echocardiography could improve thromboembolism prediction in non-valvular atrial fibrillation. However, because of some controversial results of different studies, determination of the best echocardiographic parameter predicting thromboembolic events in atrial fibrillation remains uncertain. The combination of left atrial enlargement with left atrial function (in particular assessing left atrial strain) appears to be very valuable, but needs to be confirmed in large-scale multi-center trials.
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Given the high hospital costs, the increasing clinical complexity and the overcrowding of emergency departments, it is crucial to improve the efficiency of medical admissions. We aimed at isolating organizational drivers potentially targetable through a widespread improvement action. We studied all medical admissions in a large tertiary referral hospital from January 1st to December 31st, 2018. ⋯ Type of discharge and internal transfers were again among the major determinants. A few factors involved in LOS strictly depend on the organizational environment and are potentially modifiable. Re-engineering should be focused on making more efficient internal and external transitions and at ensuring continuity of the clinical process throughout the day and the week.
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Padua prediction score (PPS) and IMPROVE bleeding score are validated tools for venous thromboembolism (VTE) risk assessment recommended by guidelines, albeit not frequently used. Some data suggest that a positive PPS and IMPROVE score may be were associated with early mortality in Internal Medicine patients. Aim of the study was to characterize the predictive ability on mortality of the two scores using two different populations, respectively, as derivation and validation cohort. ⋯ The accuracy data in the validation cohort were in the same direction. Both PPS and IMPROVE are associated with in-hospital mortality but their additional predictive accuracy is modest. It is unlikely that both scores could be useful in clinical practice to predict death in hospitalized Internal Medicine patients.
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Depending on the scientific hypothesis to be addressed, randomized-controlled trials (RCT) are accordingly designed. RCTs that aim to determine whether a novel, experimental therapeutic intervention (either a drug or a treatment) is superior to a placebo or control intervention, are called superiority trials. ⋯ In equivalence and non-inferiority RCTs, the efficacy of the reference intervention (active comparator) is already established, and therefore, an untreated control group would not be ethical. In this review, using a series of examples derived from equivalence and non-inferiority/superiority RCTs, we describe the main differences and methodological aspects among these three different types of RCTs.
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We studied hypertension prevalence, awareness, treatment, and control among persons living in a middle-income country compared with those of similar ethnicity living in a high-income country. Data from the cross-sectional HELISUR and HELIUS studies were used among 1000 Surinamese and 6971 Surinamese migrants living in The Netherlands (18-70 years), respectively. Groups were formed based on country and self-defined ethnicity, and stratified by sex. ⋯ Higher hypertension prevalence was explained by differences in BMI and waist circumference in African women (adjusted OR 1.26 [0.96, 1.65]) and by education, physical activity, and smoking in South-Asian women (adjusted OR 1.29 [0.87, 1.89]). Particularly, women in Suriname bear a relatively high hypertension burden with lower levels of awareness and control. As the higher hypertension prevalence was mainly explained by lifestyle-related risk factors, health promotion interventions may reduce the hypertension burden in Suriname.