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Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension

INTRODUCTION: US claims-based analyses emphasize the substantial hospitalization burden of patients with pulmonary arterial hypertension (PAH) and the significant need for improved monitoring and more timely interventions. A claims-based predictive model may be useful to assist healthcare providers...

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Autores principales: Zhang, Chang, Tsang, Yuen, He, Jinghua, Panjabi, Sumeet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079144/
https://www.ncbi.nlm.nih.gov/pubmed/37024760
http://dx.doi.org/10.1007/s12325-023-02501-5
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author Zhang, Chang
Tsang, Yuen
He, Jinghua
Panjabi, Sumeet
author_facet Zhang, Chang
Tsang, Yuen
He, Jinghua
Panjabi, Sumeet
author_sort Zhang, Chang
collection PubMed
description INTRODUCTION: US claims-based analyses emphasize the substantial hospitalization burden of patients with pulmonary arterial hypertension (PAH) and the significant need for improved monitoring and more timely interventions. A claims-based predictive model may be useful to assist healthcare providers and payers in identifying patients with PAH at increased hospitalization risk. To address this aim, we constructed statistical models using baseline patient variables available in administrative healthcare claims to predict patients’ risk for all-cause and PH-related hospitalization within 1 year of initiating ≥ 1 PAH indicated medication. METHODS: Adult patients with PAH who newly initiated ≥ 1 PAH indicated medication were selected from the MarketScan Commercial and Medicare Supplemental databases (January 1, 2009–January 31, 2019). Cox regression models were built with a randomly selected training set and evaluated using a validation set of remaining patients. Predictive variables for the models were selected in three steps: clinical knowledge, univariate analysis, and backward stepwise selection. RESULTS: Within 1 year of initiating ≥ 1 PAH indicated medication, 1502/3872 (38.8%) had an all-cause hospitalization and 950/3872 (24.5%) had a pulmonary hypertension (PH)-related hospitalization. Predictive risk factors for all-cause hospitalization were Quan–Charlson Comorbidity Index (CCI) score 2–3 [hazard ratio (HR) 1.229; P = 0.038] and ≥ 4 (HR 1.531; P < 0.001), claims-based frailty index (CFI) score > 1 (highest frailty level; HR 1.301; P = 0.018), hemoptysis (HR 1.254; P = 0.016), malaise/fatigue (HR 1.150; P = 0.037), history of PH-related hospitalization (HR 1.171; P = 0.011), non-PH-related ER visit (HR 1.713; P = 0.014), and higher non-PH-related outpatient visit cost (HR 1.069; P < 0.001). Predictive risk factors for PH-related hospitalization were female sex (HR 1.264; P = 0.004), Quan-CCI score ≥ 4 (HR 1.408; P = 0.008), portal hypertension (HR 1.565; P = 0.019), CFI score > 1 (HR 1.522; P = 0.002), dyspnea (HR 1.259; P = 0.023), and history of PH-related hospitalization (HR 1.273; P = 0.002). CONCLUSIONS: The US claims-based predictive models showed acceptable performance to predict 1-year hospitalization among patients with PAH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-023-02501-5.
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spelling pubmed-100791442023-04-07 Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension Zhang, Chang Tsang, Yuen He, Jinghua Panjabi, Sumeet Adv Ther Original Research INTRODUCTION: US claims-based analyses emphasize the substantial hospitalization burden of patients with pulmonary arterial hypertension (PAH) and the significant need for improved monitoring and more timely interventions. A claims-based predictive model may be useful to assist healthcare providers and payers in identifying patients with PAH at increased hospitalization risk. To address this aim, we constructed statistical models using baseline patient variables available in administrative healthcare claims to predict patients’ risk for all-cause and PH-related hospitalization within 1 year of initiating ≥ 1 PAH indicated medication. METHODS: Adult patients with PAH who newly initiated ≥ 1 PAH indicated medication were selected from the MarketScan Commercial and Medicare Supplemental databases (January 1, 2009–January 31, 2019). Cox regression models were built with a randomly selected training set and evaluated using a validation set of remaining patients. Predictive variables for the models were selected in three steps: clinical knowledge, univariate analysis, and backward stepwise selection. RESULTS: Within 1 year of initiating ≥ 1 PAH indicated medication, 1502/3872 (38.8%) had an all-cause hospitalization and 950/3872 (24.5%) had a pulmonary hypertension (PH)-related hospitalization. Predictive risk factors for all-cause hospitalization were Quan–Charlson Comorbidity Index (CCI) score 2–3 [hazard ratio (HR) 1.229; P = 0.038] and ≥ 4 (HR 1.531; P < 0.001), claims-based frailty index (CFI) score > 1 (highest frailty level; HR 1.301; P = 0.018), hemoptysis (HR 1.254; P = 0.016), malaise/fatigue (HR 1.150; P = 0.037), history of PH-related hospitalization (HR 1.171; P = 0.011), non-PH-related ER visit (HR 1.713; P = 0.014), and higher non-PH-related outpatient visit cost (HR 1.069; P < 0.001). Predictive risk factors for PH-related hospitalization were female sex (HR 1.264; P = 0.004), Quan-CCI score ≥ 4 (HR 1.408; P = 0.008), portal hypertension (HR 1.565; P = 0.019), CFI score > 1 (HR 1.522; P = 0.002), dyspnea (HR 1.259; P = 0.023), and history of PH-related hospitalization (HR 1.273; P = 0.002). CONCLUSIONS: The US claims-based predictive models showed acceptable performance to predict 1-year hospitalization among patients with PAH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-023-02501-5. Springer Healthcare 2023-04-06 2023 /pmc/articles/PMC10079144/ /pubmed/37024760 http://dx.doi.org/10.1007/s12325-023-02501-5 Text en © The Author(s), under exclusive licence to Springer Healthcare Ltd., part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Zhang, Chang
Tsang, Yuen
He, Jinghua
Panjabi, Sumeet
Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title_full Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title_fullStr Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title_full_unstemmed Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title_short Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension
title_sort predicting risk of 1-year hospitalization among patients with pulmonary arterial hypertension
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079144/
https://www.ncbi.nlm.nih.gov/pubmed/37024760
http://dx.doi.org/10.1007/s12325-023-02501-5
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