Background and Objectives: Globorisk is a well-validated risk prediction model that predicts cardiovascular disease (CVD) in the national population of all countries. We aim to apply the Globorisk calculator and provide the overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year risk for CVD among Malaysian adults. Materials and Methods: Using Malaysia’s risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: low risk (<10% risk for CVD), high risk A (≥10%), high risk B (≥20%), and high risk C (≥30%). Results: Results were reported for all participants and were then stratified by sex, ethnicity, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12), and 0.11 (SD = 0.09), respectively. Conclusions: There were substantial differences in terms of the sex-, ethnicity- and state-specific Globorisk risk scores obtained.
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http://dx.doi.org/10.3390/medicina58050656 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology, West China Hospital Sichuan University Chengdu Sichuan China. Electronic address:
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.
Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFMenopause
January 2025
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Objective: Although dysregulated inflammation has been postulated as a biological mechanism associated with post-acute sequelae of severe acute respiratory coronavirus 2 (SARS-CoV-2) infection (PASC) and shown to be a correlate and an outcome of PASC, it is unclear whether inflammatory markers can prospectively predict PASC risk. We examined the association of leukocyte count and high-sensitivity C-reactive protein (hsCRP) concentrations, measured ~25 years prior to the coronavirus disease 2019 (COVID-19) pandemic, with PASC, PASC severity, and PASC-associated cognitive outcomes at follow-up among postmenopausal women.
Methods: Using biomarker data from blood specimens collected during pre-pandemic enrollment (1993-1998) and data on 1,237 Women's Health Initiative participants who completed a COVID-19 survey between June 2021 and February 2022, we constructed multivariable regression models that controlled for pertinent characteristics.
Adv Skin Wound Care
January 2025
Li-li Ma, MSc, RN, is PhD Candidate, Medical College, Tongji University, Shanghai, China Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. Ya-juan Zhang, MSc, RN, is Head Nurse, Department of Nursing, Shanghai Sixth People's Hospital, School of Medicine, Jiao Tong University, Shanghai. Hui-ren Zhuang, MSc, RN, is Department Head Nursing, Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University. Hui Jiang, PhD, RN, is Nursing Director, Department of Nursing, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University.
Objective: To analyze the risk factors for peristomal skin complications (PSCs) in patients with colorectal cancer and an ostomy, construct a prediction model, and verify its effectiveness.
Methods: In this cross-sectional study, researchers recruited 265 patients with an ostomy at the stoma clinic of a tertiary hospital, from May 2022 to August 2023. Patients were divided into two groups: complications group (n = 81) and no complications group (n = 184).
J Perinat Neonatal Nurs
January 2025
Author Affiliations: School of Nursing, Center for Research Development and Scholarship, Vanderbilt University (Ms Sommer, Dr Muchira, Ms Chinni, and Dr Mogos); Department of Obstetrics and Gynecology, Vanderbilt University Medical Center (Dr Garrison); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University, Nashville, Tennessee (Ms Walden); and Medical College of Georgia, Augusta University, Augusta, Georgia (Mr van der Eerden).
Purpose: Early detection and management of hypertensive disorders during pregnancy and postpartum are essential. This systematic review and meta analysis aimed: (1) to examine the state of 24-hour ambulatory blood pressure (ABP) use, and (2) in a subset of studies, evaluate 24-hour ABP parameters in the prediction and identification of Hypertensive Disorders of Pregnancy (HDP).
Methods: A comprehensive literature search was conducted in March of 2022 for English language studies published after 2000.
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