Internal and emergency medicine
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Review Meta Analysis
Point-of-care ultrasound improves clinical outcomes in patients with acute onset dyspnea: a systematic review and meta-analysis.
The early, appropriate management of acute onset dyspnea is important but often challenging. The aim of this study was to investigate the effects of the use of Point-of-Care Ultrasound (PoCUS) versus conventional management on clinical outcomes in patients with acute onset dyspnea. The Cochrane Library, MEDLINE, EMBASE and reference lists were searched to identify eligible trials (inception to October 14, 2021). ⋯ In-hospital LOS showed no differences between the two groups, but LOS in the Intensive Care Unit (MD, - 1.27 days; - 1.94 to - 0.61 days) was significantly shorter in the PoCUS group. Patients in the PoCUS group showed significantly higher odds of receiving appropriate therapy compared to controls (odds ratio [OR], 2.31; 95% CI, 1.61-3.32), but there was no significant effect on 30-day re-admission rate and in-hospital or 30-day mortality. Our results indicate that PoCUS use contributes to early diagnosis and better outcomes compared to conventional methods in patients admitted with acute onset dyspnea.
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Obesity is a serious and global health problem. The multiple complications of obesity reduce quality of life and increase mortality. Bariatric surgery is one of the best treatment options for obesity management. ⋯ The most frequent surgical options are Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG). There is controversy regarding changes in food preferences and selection after bariatric surgery. In this review, we aim to outline the changes in food intake and selection, clarify the behavior changes in food intake, and assess the potential mechanisms responsible for these changes in patients after bariatric surgery.
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Chronic obstructive pulmonary disease (COPD) and heart failure (HF) mutually increase the risk of being present in the same patient, especially if older. Whether or not this coexistence may be associated with a worse prognosis is debated. Therefore, employing data derived from the REPOSI register, we evaluated the clinical features and outcomes in a population of elderly patients admitted to internal medicine wards and having COPD, HF or COPD + HF. ⋯ In this real-life cohort of hospitalized elderly patients, the coexistence of COPD and HF significantly worsened prognosis at one year. This finding may help to better define the care needs of this population.
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Meta Analysis
Direct oral anticoagulants in patients with a left-sided bioprosthetic heart valve: a systematic review and meta-analysis.
To compare the efficacy/effectiveness and safety of DOACs versus VKAs in patients with a previously and newly surgically implanted BHV with or without AF. A systematic search on MEDLINE and EMBASE was performed till November 2022. Treatment effects were estimated with relative risk (RR) and 95% confidence intervals (CIs). ⋯ In patients randomized during the first three months from valve surgery, DOACs vs VKAs were associated with a RR of stroke/TIA/SE and major bleeding of 0.54 (95% CI 0.14-2.08; I2 = 0%) and of 0.76 (95% CI 0.05-10.72; I2 = 66%). In previously implanted BHV patients with AF, DOACs showed a risk-benefit profile at least comparable to VKAs. DOACs showed a similar, even if underpowered, risk-benefit profile during the first three months after BHV implantation prevalently in patients with AF.
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In-hospital cardiac arrest (IHCA) in the emergency department (ED) is not uncommon but often fatal. Using the machine learning (ML) approach, we sought to predict ED-based IHCA (EDCA) in patients presenting to the ED based on triage data. We retrieved 733,398 ED records from a tertiary teaching hospital over a 7 year period (Jan. 1, 2009-Dec. 31, 2015). ⋯ Although the differences between each of ML models and LR (AUC: 0.905, 95% CI 0.882-0.926) were not significant, all constructed ML models performed significantly better than using the NEWS2 scoring system (AUC 0.678, 95% CI 0.635-0.722). Our ML models showed excellent discriminatory performance to identify EDCA based only on the triage information. This ML approach has the potential to reduce unexpected resuscitation events if successfully implemented in the ED information system.