Background: The relation between age at diagnosis of type 2 diabetes (T2D) and hospitalization for heart failure (HHF) is unclear. We assessed the association between age at diagnosis of T2D and HHF.
Methods And Results: We conducted a population-based cohort study using administrative health databases from the Canadian province of Ontario, including participants without prior heart failure. We identified people with new-onset T2D between April 1, 2005 and March 31, 2015, and matched each person with 3 diabetes-free adults, according to birth year and sex. We estimated adjusted hazard ratios (HRs) and rate ratios (RRs) for the association between age at T2D diagnosis and incident HHF, which was assessed until March 31, 2020. Among 743 053 individuals with T2D and 2 199 539 matched individuals without T2D, 126 241 incident HHF events occurred over 8.9 years. T2D was associated with a greater adjusted hazard of HHF at younger ages (eg, HR at age 30 years: 6.94 [95% CI, 6.54-7.36]) than at older ages (eg, HR at age 60 years: 2.50 [95% CI, 2.45-2.56]) relative to matched individuals. Additional adjustment for mediators (hypertension, coronary artery disease, and chronic kidney disease) marginally attenuated this relationship. Age at T2D diagnosis was associated with a greater number of HHF events relative to matched individuals at younger ages (eg, RR at age 30 years: 6.39 [95% CI, 5.76-7.08]) than at older ages (eg, RR at age 60 years: 2.65 [95% CI, 2.54-2.76]).
Conclusions: Younger age at T2D diagnosis is associated with a disproportionately elevated HHF risk relative to age-matched individuals without T2D.
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http://dx.doi.org/10.1161/JAHA.123.030683 | DOI Listing |
BMC Anesthesiol
January 2025
Kaiser Permanente Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
Background: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.
Methods: Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021 were used to develop the model (randomly split: 80% training, 20% test).
Psychol Health Med
January 2025
Department of Health Management, Selcuk University Faculty of Health Sciences, Konya, Turkey.
This research was conducted to examine the effect of internet addiction on cyberchondria. The research is important to understand how today's digital technologies contribute to health-related concerns and affect individuals' perceptions of health. Quantitative research design was used in this research conducted in Konya, a metropolitan city in Turkey.
View Article and Find Full Text PDFJ Infect
January 2025
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Background: Pneumococcal conjugate vaccines (PCVs) introduced in childhood national immunization programs lowered vaccine-type invasive pneumococcal disease (IPD), but replacement with non-vaccine-types persisted throughout the PCV10/13 follow-up period. We assessed PCV10/13 impact on pneumococcal meningitis incidence globally.
Methods: The number of cases with serotyped pneumococci detected in cerebrospinal fluid and population denominators were obtained from surveillance sites globally.
J Pediatr Psychol
January 2025
Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Objective: Family functioning influences various psychosocial outcomes for individuals with pediatric chronic health conditions (e.g., Leeman, J.
View Article and Find Full Text PDFPatient Educ Couns
January 2025
Department of Psychology, University of Toledo, Toledo, OH, USA.
Objectives: Authorized concealment is a shared decision-making technique in which a clinician asks a patient if they would prefer not to be informed about all possible treatment side effects, so as to minimize nocebo effects. The present research assessed individual difference variables that predict evaluations and receptivity of authorized concealment.
Methods: A demographically diverse national community US sample of 1012 adults (ages ranging from 18 to 94; M=43.
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