To explore the trend of sudden unexpected death in epilepsy (SUDEP) incidence rate over time in rural west China. We scanned probable SUDEP patients from the epilepsy program between 2010 and 2019 in rural West China and performed a verbal autopsy for each eligible patient. We calculated the crude and sex-adjusted incidence rate of SUDEP per person-year over a calendar year and the year of follow-up. We calculated the incidence rate ratio with the Poisson model in STATA 12.0 and calculated the annual percentage change (APC) and average annual percentage change in Joinpoint Trend Analysis Software 4.8.0.1 to analyze the trend of SUDEP incidence rate. In 2010-2019, 44 probable SUDEPs were identified from 10,128 patients with a total person-year of 31,347. The crude and sex-adjusted incidence rates of SUDEP were 1.40 and 1.45%0. Twenty-five (56.8%) of the 44 probable SUDEPs had no generalized tonic-clonic seizure 3 months before their death. The incidence of probable SUDEP decreased significantly in the calendar year [APC = -11.7, 95% confidence interval (CI): -21.7 to -0.3] and in time of follow-up (average annual percentage change = -21.2, 95% CI: -34.3 to -5.4). Comparing the first 5 years in follow-up with the subsequent 3 years, the incidence rate of SUDEP decreased significantly (estimated incidence rate ratio = 0.4, 95% CI: 0.2 to 0.8). SUDEP happened to 1.4 cases per thousand patient-years in convulsive epilepsy in rural west China between 2010 and 2019. The incidence rate of SUDEP presented a downward trend over the time of follow-up.
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http://dx.doi.org/10.3389/fneur.2021.735201 | DOI Listing |
Ann Med
December 2025
Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Background: Update, the link between HIV infection and abnormal glucose metabolism (AGM) is still unclear. This study aims to investigate the impact of HIV infection on AGM, including insulin resistance (IR), impaired fasting glucose (IFG), and diabetes mellitus (DM).
Methods: A multicenter case-control study was conducted in Zhejiang province, China.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Clinical Informatics and Health Outcomes Research Group, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: There are gaps in our understanding of the clinical characteristics and disease burden of the respiratory syncytial virus (RSV) among community-dwelling adults. This is in part due to a lack of routine testing at the point of care. More data would enhance our assessment of the need for an RSV vaccination program for adults in the United Kingdom.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Orthopedics and Trauma Surgery, University Hospital Düsseldorf, Düsseldorf, Germany.
Background: An aging population in combination with more gentle and less stressful surgical procedures leads to an increased number of operations on older patients. This collectively raises novel challenges due to higher age heavily impacting treatment. A major problem, emerging in up to 50% of cases, is perioperative delirium.
View Article and Find Full Text PDFJAMA Surg
January 2025
Department of Surgery, State University of New York, Downstate Health Sciences University, Brooklyn.
Importance: Chronic limb-threatening ischemia (CLTI) is a major public health issue that requires considerable human and physical resources to provide optimal patient care. It is essential to characterize the disease severity and resource needs of patients with CLTI presenting to facilities of varying resource capacities.
Objective: To investigate the association between facility-level Medicaid payer proportions and the incidence of nonelective admissions among patients admitted for CLTI.
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