Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease

<h4>Background</h4> Chronic stress in patients with cardiovascular disease (CVD), including peripheral artery disease (PAD), is independently associated worse outcomes. A model that can reliably identify factors associated with risk of chronic stress in patients with CVD is needed. <h...

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Main Authors: Ali O. Malik, Philip G. Jones, Carlos Mena-Hurtado, Matthew M. Burg, Mehdi H. Shishehbor, Vittal Hejjaji, Andy Tran, John A. Spertus, Kim G. Smolderen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578618/?tool=EBI
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author Ali O. Malik
Philip G. Jones
Carlos Mena-Hurtado
Matthew M. Burg
Mehdi H. Shishehbor
Vittal Hejjaji
Andy Tran
John A. Spertus
Kim G. Smolderen
author_facet Ali O. Malik
Philip G. Jones
Carlos Mena-Hurtado
Matthew M. Burg
Mehdi H. Shishehbor
Vittal Hejjaji
Andy Tran
John A. Spertus
Kim G. Smolderen
author_sort Ali O. Malik
collection DOAJ
description <h4>Background</h4> Chronic stress in patients with cardiovascular disease (CVD), including peripheral artery disease (PAD), is independently associated worse outcomes. A model that can reliably identify factors associated with risk of chronic stress in patients with CVD is needed. <h4>Methods</h4> In a prospective myocardial infarction (MI) registry (TRIUMPH), we constructed a logistic regression model using 27 patient demographic, socioeconomic, and clinical factors, adjusting for site, to identify predictors of chronic stress over 1 year. Stress at baseline and at 1-, 6- and 12-month follow-up was measured using the 4-item Perceived Stress Scale (PSS-4) [range 0–16, scores ≥6 depicting high stress]. Chronic stress was defined as at least 2 follow-up PSS-4 scores ≥6. We identified and validated this final model in another prospective registry of patients with symptomatic PAD, the PORTRAIT study. <h4>Results</h4> Our derivation cohort consisted of 4,340 patients with MI (mean age 59.1 ± 12.3 years, 33% females, 30% non-white), of whom 30% had chronic stress at follow-up. Of the 27 factors examined, female sex, current smoking, socioeconomic status, and economic burden due to medical care were positively associated with chronic stress, and ENRICHD Social Support Instrument (ESSI) score and age were inversely related to chronic stress. In the validation cohort of 797 PAD patients (mean age 68.6±9.7 years, 42% females, 28% non-white, 18% chronic stress) the c-statistic for the model was 0.77 and calibration was excellent. <h4>Conclusions</h4> We can reliably identify factors that are independently associated with risk of chronic stress in patients with CVD. As chronic stress is associated with worse outcomes in this population, our work identifies potential targets for interventions to as well as the patients that could benefit from these.
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spelling doaj.art-9df83a2ee6e7450298b4c591d80aaaf22022-12-22T04:34:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011710Derivation and validation of a predictive model for chronic stress in patients with cardiovascular diseaseAli O. MalikPhilip G. JonesCarlos Mena-HurtadoMatthew M. BurgMehdi H. ShishehborVittal HejjajiAndy TranJohn A. SpertusKim G. Smolderen<h4>Background</h4> Chronic stress in patients with cardiovascular disease (CVD), including peripheral artery disease (PAD), is independently associated worse outcomes. A model that can reliably identify factors associated with risk of chronic stress in patients with CVD is needed. <h4>Methods</h4> In a prospective myocardial infarction (MI) registry (TRIUMPH), we constructed a logistic regression model using 27 patient demographic, socioeconomic, and clinical factors, adjusting for site, to identify predictors of chronic stress over 1 year. Stress at baseline and at 1-, 6- and 12-month follow-up was measured using the 4-item Perceived Stress Scale (PSS-4) [range 0–16, scores ≥6 depicting high stress]. Chronic stress was defined as at least 2 follow-up PSS-4 scores ≥6. We identified and validated this final model in another prospective registry of patients with symptomatic PAD, the PORTRAIT study. <h4>Results</h4> Our derivation cohort consisted of 4,340 patients with MI (mean age 59.1 ± 12.3 years, 33% females, 30% non-white), of whom 30% had chronic stress at follow-up. Of the 27 factors examined, female sex, current smoking, socioeconomic status, and economic burden due to medical care were positively associated with chronic stress, and ENRICHD Social Support Instrument (ESSI) score and age were inversely related to chronic stress. In the validation cohort of 797 PAD patients (mean age 68.6±9.7 years, 42% females, 28% non-white, 18% chronic stress) the c-statistic for the model was 0.77 and calibration was excellent. <h4>Conclusions</h4> We can reliably identify factors that are independently associated with risk of chronic stress in patients with CVD. As chronic stress is associated with worse outcomes in this population, our work identifies potential targets for interventions to as well as the patients that could benefit from these.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578618/?tool=EBI
spellingShingle Ali O. Malik
Philip G. Jones
Carlos Mena-Hurtado
Matthew M. Burg
Mehdi H. Shishehbor
Vittal Hejjaji
Andy Tran
John A. Spertus
Kim G. Smolderen
Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
PLoS ONE
title Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
title_full Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
title_fullStr Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
title_full_unstemmed Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
title_short Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
title_sort derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578618/?tool=EBI
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