Background: Major emergency abdominal surgery is associated with severe postoperative complications and high short- and long-term mortality. Despite recent advancements in standardizing multidisciplinary care bundles, a subgroup of patients continues to face a heightened risk of short-term mortality. This study aimed to identify and describe the high-risk surgical patients and risk factors for short-term postoperative mortality.
Methods: In this study, we included all patients undergoing major emergency abdominal surgery over 2 years and collected data on demographics, intraoperative variables, and short-term outcomes. The primary outcome measure was short-term mortality and secondary outcome measures were pre, intra, and postoperative risk factors for premature death. Multivariable binary regression analysis was performed to determine possible risk factors for short-term mortality.
Results: Short-term mortality within 14 days of surgery in this cohort of 754 consecutive patients was 8%. Multivariable analysis identified various independent risk factors for short-term mortality throughout different phases of patient care. These factors included advanced age, preoperative history of myocardial infarction or ischemic heart disease, chronic obstructive pulmonary disease, liver cirrhosis, chronic kidney disease, and vascular bowel ischemia or perforation of the stomach or duodenum during the primary surgery.
Conclusion: Patients at high risk of early mortality following major emergency abdominal surgery exhibited distinct perioperative risk factors. This study underscores the importance of clinicians identifying and managing these factors in high-risk patients to ensure optimal care.
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http://dx.doi.org/10.1002/wjs.12254 | DOI Listing |
Front Biosci (Landmark Ed)
January 2025
School of Cardiovascular and Metabolic Medicine & Sciences, British Heart Foundation Centre of Research Excellence, King's College London, SE5 9NU London, UK.
Cardiovascular disease (CVD) is the most prevalent cause of mortality and morbidity in the Western world. A common underlying hallmark of CVD is the plaque-associated arterial thickening, termed atherosclerosis. Although the molecular mechanisms underlying the aetiology of atherosclerosis remain unknown, it is clear that both its development and progression are associated with significant changes in the pattern of DNA methylation within the vascular cell wall.
View Article and Find Full Text PDFEur Stroke J
January 2025
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: We aimed to assess impairments on health-related quality of life, and mental health resulting from Retinal artery occlusion (RAO) with monocular visual field loss and posterior circulation ischemic stroke (PCIS) with full or partial hemianopia using patient-reported outcome measures (PROMs).
Methods: In a prospective study, consecutive patients with acute RAO on fundoscopy and PCIS on imaging were recruited during their surveillance on a stroke unit over a period of 15 months. Baseline characteristics were determined from medical records and interviews.
Br J Hosp Med (Lond)
January 2025
Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
The Geriatric Nutritional Risk Index (GNRI) is an effective tool for identifying malnutrition, and helps monitor the prognosis of patients undergoing maintenance hemodialysis. However, the association between the GNRI and cardiovascular or all-cause mortality in hemodialysis patients remains unclear. Therefore, this study investigated the correlation of the GNRI with all-cause and cardiovascular mortality in patients undergoing maintenance hemodialysis.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
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