Rising cardiovascular mortality among obstructive sleep apnea patients: United States epidemiological trends (1999-2019).

Background: Obstructive sleep apnea (OSA) prevalence has risen significantly, affecting millions globally and posing a major healthcare burden. OSA is strongly associated with cardiovascular diseases (CVD) such as heart failure, stroke, and ischemic heart disease. However, trends in CVD-related mortality among individuals with OSA remain underexplored.

Implementation of a Comprehensive Protocol for Enhanced Recovery After Surgery (ERAS) in Kidney Transplant Recipients Improves Patient and Graft Outcomes.

Background: Enhanced recovery after surgery (ERAS) protocols have gained widespread acceptance as a means to enhance surgical outcomes. However, the intricate care required for kidney transplant recipients has not yet led to the establishment of a universally recognized and dependable ERAS protocol for kidney transplantation.

Objective: We devised a customized ERAS protocol to determine its effectiveness in improving surgical and postoperative outcomes among kidney transplant recipients.

Comparing the Thin Plate Spline and Gaussian Interpolation Methods in Generating Hill of Visions for X-Linked Retinitis Pigmentosa Patients.

Purpose: To compare the efficacy of thin plate spline (TPS) and Gaussian interpolation methods in generating hill of visions (HOVs) for patients with X-linked retinitis pigmentosa (XLRP).

Methods: Visual field data from 78 eyes of 39 patients with XLRP were acquired using the Octopus 900 Pro. TPS, Gaussian, and Universal Kriging interpolation methods were implemented to generate HOVs.

Advancements in Imaging and Neurosurgical Techniques for Brain Tumor Resection: A Comprehensive Review.

Brain tumor surgery has witnessed significant advancements over the past few decades, resulting in improved patient outcomes. Despite these advancements, brain tumors remain a formidable public health challenge due to their high morbidity and mortality rates. This review explores the evolution of neurosurgical techniques for brain tumor resection, emphasizing the balance between minimizing invasiveness and maximizing precision.

Evaluating the Clinical Validity and Reliability of Artificial Intelligence-Enabled Diagnostic Tools in Neuropsychiatric Disorders.

Neuropsychiatric disorders (NPDs) pose a substantial burden on the healthcare system. The major challenge in diagnosing NPDs is the subjective assessment by the physician which can lead to inaccurate and delayed diagnosis. Recent studies have depicted that the integration of artificial intelligence (AI) in neuropsychiatry could potentially revolutionize the field by precisely diagnosing complex neurological and mental health disorders in a timely fashion and providing individualized management strategies.