Literature DB >> 26553446

Developing a risk stratification model for predicting future health care use in asthmatic children.

Jill R Hanson1, Brian R Lee2, David D Williams3, Helen Murphy4, Kevin Kennedy5, Stephen A DeLurgio3, Jay Portnoy6, Mamta Reddy6.   

Abstract

BACKGROUND: Previous studies have stratified pediatric asthma patients for risk of future exacerbation and/or health care use, but most incorporate multiple clinical parameters.
OBJECTIVE: To determine whether historical acute care visits (ACVs) alone could predict risk of future health care use.
METHODS: Children seen for asthma in an outpatient visit during a 3-year period were identified. The number of ACVs in the 12 months before and after the outpatient visit was determined. Logistic regression models were used to determine the odds of a future ACV. Models were adjusted for age, sex, race, and insurance status.
RESULTS: Of 28,047 outpatient visits, 21,099 (75.2%) had no historical ACVs. The probability of a future ACV increased from 30% with one historical ACV to 87% with 5 or more historical ACVs. Outpatient visits with one historical ACV had significantly higher odds of a future ACV compared with those with no historical ACVs (adjusted odds ratio [OR], 3.60; 95% confidence interval [CI], 3.14-4.12; P < .001). The OR increased with each additional historical ACV to an adjusted OR of 58.71 (95% CI, 24.34-141.61; P < .001) with 5 or more historical ACVs. Outpatient visits with 5 or more historical ACVs represented only 1.1% of the study sample but accounted for a higher mean number of future ACVs.
CONCLUSION: The historical count of ACVs was predictive of future ACVs. A significant increase in the probability of future ACVs was observed with each additional historical visit, effectively stratifying risk by the historical visit count. Notably, a small group of patients accounted for a disproportionate number of future ACVs.
Copyright © 2016 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 26553446     DOI: 10.1016/j.anai.2015.10.014

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


  5 in total

1.  A Predictive Model for Identification of Children at Risk of Subsequent High-Frequency Utilization of the Emergency Department for Asthma.

Authors:  Margaret E Samuels-Kalow; Matthew W Bryan; Marilyn Sawyer Sommers; Joseph J Zorc; Carlos A Camargo; Cynthia Mollen
Journal:  Pediatr Emerg Care       Date:  2020-02       Impact factor: 1.454

Review 2.  The Role of Home Environments in Allergic Disease.

Authors:  Kevin Kennedy; Ryan Allenbrand; Eric Bowles
Journal:  Clin Rev Allergy Immunol       Date:  2019-12       Impact factor: 8.667

3.  Comparing Statewide and Single-center Data to Predict High-frequency Emergency Department Utilization Among Patients With Asthma Exacerbation.

Authors:  Margaret E Samuels-Kalow; Mohammad K Faridi; Janice A Espinola; Jean E Klig; Carlos A Camargo
Journal:  Acad Emerg Med       Date:  2017-12-11       Impact factor: 3.451

4.  Building a Targeted Asthma Education and Management Program.

Authors:  Helen Murphy; Jamie Wolverton; Chitra Dinakar
Journal:  Mo Med       Date:  2016 Sep-Oct

5.  Fractional exhaled nitric oxide and forced expiratory volume in 1 second/forced vital capacity have predictive value of asthma exacerbation in Korean school children.

Authors:  Min-Gyu Kang; Shin-Ae Yoon; Ju-Han Sim; Sung-Il Woo
Journal:  Asia Pac Allergy       Date:  2020-01-28
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.