ArticleAdvances in therapy2023
Predicting Risk of 1-Year Hospitalization Among Patients with Pulmonary Arterial Hypertension.
Article in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Pulmonary Arterial Hypertension and Cancer: Unveiling Parallels in Epidemiology, Clinical Pathways, and Therapeutic Strategies.Journal of market access & health policy · 2026Article
- Performance on the one-minute sit-to-stand test predicts long-term adverse outcomes in pulmonary hypertension.Scientific reports · 2026Article
- A structured approach for identifying disease analogs for pulmonary arterial hypertension.Journal of managed care & specialty pharmacy · 2025Article
- Impact of Frailty on Inpatient Mortality and Resource Utilization for Primary Pulmonary Hypertension.Avicenna journal of medicine · 2024Article
- Impact of a Disease-Focused Electronic Health Record Dashboard on Clinical Staff Efficiency in Previsit Patient Review in an Ambulatory Pulmonary Hypertension Care Clinic.Applied clinical informatics · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
introductionUS 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.
methodsAdult 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.
resultsWithin 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).
conclusionsThe US claims-based predictive models showed acceptable performance to predict 1-year hospitalization among patients with PAH.
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