Objective: To evaluate the long-term clinical course of patients presenting with hypertensive crisis discharged alive from hospital.
Methods: Retrospective study utilizing TriNetX. Based on the ICD-10-CM codes recorded between 2000 and 2022, patients with hypertensive crisis were subdivided into hypertensive urgencies (HU) and hypertensive emergencies (HE).
Purpose: Malignant hypertension (MHT) is a condition with high morbidity and mortality, necessitating a deeper understanding of its clinical heterogeneity for improved patient management. Aim of our study was to identify/characterize specific phenotypic groups and examine their associations with mortality.
Methods: Data from the West Birmingham MHT Registry were used.
Background: Malignant hypertension (MHT) is a rare, yet severe condition with high morbidity and mortality. We aimed to assess the potential of machine learning (ML) algorithms in forecasting prognostic outcomes in MHT patients.
Methods: Data from the West Birmingham MHT Registry were used.
The growing interest in harnessing natural environments to enhance mental health, including cognitive functioning and mood, has yielded encouraging results in initial studies. Given that images of nature have demonstrated similar benefits, they are frequently employed as proxies for real-world environments. To ensure precision and control, researchers often manipulate images of natural environments.
View Article and Find Full Text PDFOriginally, the beta-blockers were equally ranked alongside the other antihypertensive drug classes. Things changed when two major long-term randomized controlled trials, ASCOT-BPLA and LIFE showed that the patients receiving the beta-blockers based regimes suffered 25-30% more strokes than those receiving a calcium channel blocker based regime or an angiotensin receptor blocker based regime. The inferiority of the beta-blockers at stroke prevention was not due to differences in blood pressure control during the follow-up period in both trials.
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