Internal and emergency medicine
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Constipation and fecal impaction are common issues with the potential for significant morbidity in older people presenting to the Emergency Department (ED). While many of these patients present with classical symptoms of constipation or fecal impaction, atypical presentations are also frequent. ⋯ In addition, various clinical conditions (such as dementia, Parkinson's disease, dehydration, and hypothyroidism) and medications (such as opiate analgesics, anticholinergics, diuretics, calcium channel blockers, anti-parkinsonian drugs, and oral iron supplements) are associated with constipation and should be considered during the diagnostic process in the ED. This narrative review specifically focuses on the prevalence, presentation, diagnoses, and management of constipation in older ED patients.
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Observational Study
Anaphylaxis: first clinical presentation, subsequent referral practise, and suspected elicitor-an observational study.
Anaphylaxis is an allergic manifestation characterised by rapid onset and progression. Rapid treatment may be challenging in patients with atypical symptoms or no previous history of anaphylaxis. This study aimed to describe the clinical prehospital presentation of first-time anaphylactic patients. ⋯ Patients with allergies progressing to severe anaphylaxis most often are treated prehospitally before transport to emergency departments. From the emergency departments, they are referred to the allergy centre. Education concerning the immediate treatment of severe anaphylaxis should primarily be targeted towards prehospital care providers.
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This study aimed to develop several new machine learning models based on hibernating myocardium to predict the major adverse cardiac events(MACE) of ischemic left ventricular systolic dysfunction(LVSD) patients receiving either percutaneous coronary intervention(PCI) or optimal medical therapy(OMT). This study included 329 LVSD patients, who were randomly assigned to the training or validation cohort. Least absolute shrinkage and selection operator(LASSO) regression was used to identify variables associated with MACE. ⋯ The RSF model (0.991 vs. 0.982 vs. 0.980) had the highest area under the ROC curve (AUC) compared with the other models. The BS (0.077 vs. 0.095vs. 0.077) of RSF model were less than 0.25 at 12, 18, and 24 months. This study developed a novel predictive model based on RSF to predict MACE in LVSD patients who underwent either PCI or OMT.