Literature DB >> 30577973

Prediction of Long-Term Incidence of Chronic Cardiovascular and Cardiopulmonary Diseases in Primary Care Patients for Population Health Monitoring: The Intermountain Chronic Disease Model (ICHRON).

Heidi T May1, Donald L Lappé2, Kirk U Knowlton3, Joseph B Muhlestein3, Jeffrey L Anderson3, Benjamin D Horne3.   

Abstract

OBJECTIVE: To apply the practical parsimonious modeling method of the Intermountain Mortality Risk Score in a primary care environment to predict chronic disease (ChrD) onset. PATIENTS AND METHODS: Primary care patients free of ChrD (women: n=98,711; men: n=45,543) were evaluated to develop (70% [n=95,882] of patients) and validate (the other 30% [n=48,372]) the sex-specific Intermountain Chronic Disease Risk Score (ICHRON) if seen initially between January 1, 2003, and December 31, 2005. The sex-specific ICHRON was composed of comprehensive metabolic profile and complete blood count components and age. The primary outcome was the first diagnosis of coronary artery disease, myocardial infarction, heart failure, atrial fibrillation, stroke, diabetes, renal failure, chronic obstructive pulmonary disease, peripheral vascular disease, or dementia within 3 years of baseline.
RESULTS: At 3 years, 9.0% of men (mean age, 44±16 years) and 6.6% of women (mean age, 42±16 years) received a diagnosis of ChrD. In the derivation population, C-statistics were 0.783 (95% CI, 0.774-0.791) for men and 0.774 (95% CI, 0.767-0.781) for women. In the validation population, C-statistics were 0.774 (95% CI, 0.762-0.786) for men and 0.762 (95% CI, 0.752-0.772) for women. Evaluation of 10-year outcomes for ICHRON and analysis of its association with each outcome individually at 3 years revealed similar predictive ability.
CONCLUSION: An augmented intelligence clinical decision tool for primary care, ICHRON, is developed using common laboratory parameters, which provides good discrimination of ChrD risk at 3 and 10 years.
Copyright © 2018 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 30577973     DOI: 10.1016/j.mayocp.2018.06.029

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  2 in total

1.  Predicting postdischarge hospital-associated venous thromboembolism among medical patients using a validated mortality risk score derived from common biomarkers.

Authors:  Lindsey Snyder; Scott M Stevens; Masarret Fazili; Emily L Wilson; James F Lloyd; Benjamin D Horne; Joseph Bledsoe; Scott C Woller
Journal:  Res Pract Thromb Haemost       Date:  2020-05-20

2.  Development of a prognostic prediction model to estimate the risk of multiple chronic diseases: constructing a copula-based model using Canadian primary care electronic medical record data.

Authors:  Jason E Black; Jacqueline K Kueper; Amanda L Terry; Daniel J Lizotte
Journal:  Int J Popul Data Sci       Date:  2021-01-19
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.