Background: Traditional cardiovascular disease risk prediction models generate a combined risk assessment for myocardial infarction (MI) and ischemic stroke (IS), which may inadequately reflect the distinct etiologies and disparate risk factors of MI and IS. We aim to develop prediction models that separately estimate the risks of MI and IS.
Methods: Our analysis included 6,242,404 individuals over 40 years old who participated in a cardiovascular health screening examination in 2009. Potential predictors were selected based on a literature review and the available data. Cox proportional hazards models were used to construct 5-year risk prediction models for MI, and IS. Model performance was assessed through discrimination and calibration.
Results: During a follow-up of 39,322,434.39 person-years, 89,140 individuals were diagnosed with MI and 116,259 with IS. Both models included age, sex, body mass index, smoking, alcohol consumption, physical activity, diabetes, hypertension, dyslipidemia, chronic kidney disease, and family history. Statin use was factored into the classification of dyslipidemia. The c-indices for the prediction models were 0.709 (0.707-0.712) for MI, and 0.770 (0.768-0.772) for IS. Age and hypertension exhibited a more pronounced effect on IS risk prediction than MI, whereas smoking, body mass index, dyslipidemia, and chronic kidney disease showed the opposite effect. The models calibrated well for low-risk individuals.
Conclusions: Our findings underscore the necessity of tailored risk assessments for MI and IS to facilitate the early detection and accurate identification of heterogeneous at-risk populations for atherosclerotic cardiovascular disease.
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http://dx.doi.org/10.3390/healthcare12202080 | DOI Listing |
Jpn J Clin Oncol
December 2024
Department of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Objective: This study aimed to assess the oncological outcomes of the subtype of urothelial carcinoma (SUC), including divergent differentiation and histologic subtype, in comparison with those of pure urothelial carcinoma (PUC) in nonmuscle-invasive bladder cancer.
Methods: We retrospectively evaluated patients who were initially treated with transurethral resection of the bladder tumor (TURBT) between March 2005 and August 2020 at a single institution. Patients with PUC and SUC were compared in terms of recurrence-free survival (RFS), progression-free survival (PFS), and overall survival (OS).
Otolaryngol Head Neck Surg
December 2024
Department of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Objectives: We investigate if sublingual space invasion (SLI) determined on magnetic resonance imaging confers differences in clinicopathological manifestations and treatment outcomes of oral tongue squamous cell carcinoma (OTSCC).
Study Design: Retrospective cohort study.
Setting: Tertiary Academic Medical Center.
Mol Psychiatry
December 2024
Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL, USA.
The Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) created psychosis Biotypes based on neurobiological measurements in a multi-ancestry sample. These Biotypes cut across DSM diagnoses of schizophrenia, schizoaffective disorder, and bipolar disorder with psychosis. Two recently developed post hoc ancestry adjustment methods of Polygenic Risk Scores (PRSs) generate Ancestry-Adjusted PRSs (AAPRSs), which allow for PRS analysis of multi-ancestry samples.
View Article and Find Full Text PDFClin Epigenetics
December 2024
Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Background: Pancreatic adenocarcinoma (PDAC) exhibits a complex microenvironment with diverse cell populations influencing patient prognosis. Single-cell RNA sequencing (scRNA-seq) was used to identify prognosis-related cell types, and DNA methylation (DNAm)-based models were developed to predict outcomes based on their cellular characteristics.
Methods: We integrated scRNA-seq, bulk data, and clinical information to identify key cell populations associated with prognosis.
J Cardiothorac Surg
December 2024
Nanjing Medical University, Longmian Avenue No.101, Jiangning District, Nanjing, Jiangsu, China.
Background: Postoperative delirium (POD) is a cognitive decline and attention deficit that can occur in patients after cardiac surgery. Despite extensive research identifying the risk factors, POD often remains undiagnosed and untreated in medical settings. Therefore, this systematic literature review (SLR) aimed to summarize the available studies on early POD identification in patients following cardiovascular surgery.
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