Evidence map›Paper›PMID 42724745›Full record

ArticlePulmonary circulation2026

Referral Patterns and Clinical Characteristics of Patients With Pulmonary Hypertension at a Comprehensive Care Center.

Nelson Villasmil Hernandez, Maria Jose Maestre, Meagan Chavarria, Pujita Munnangi, Neelam Lakhani, Laura Valecillos Loukidis, Sandeep Sahay

Abstract read
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Article in Pulmonary circulation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nelson Villasmil HernandezDepartment of Medicine Houston Methodist The Woodlands Hospital The Woodlands Texas USA.
Maria Jose MaestreDepartment of Medicine Houston Methodist Research Institute Houston Texas USA.ORCID https://orcid.org/0009-0009-1068-6564
Meagan ChavarriaDivision of Pulmonary, Sleep and Critical Care Medicine Houston Methodist Hospital Houston Texas USA.ORCID https://orcid.org/0009-0004-4698-4970
Pujita MunnangiTexas A&M School of Medicine Houston Texas USA.
Neelam LakhaniDepartment of Medicine Houston Methodist Research Institute Houston Texas USA.
Laura Valecillos LoukidisDepartment of Medicine Houston Methodist Research Institute Houston Texas USA.ORCID https://orcid.org/0009-0003-3979-1460
Sandeep SahayDivision of Pulmonary, Sleep and Critical Care Medicine Houston Methodist Hospital Houston Texas USA.ORCID https://orcid.org/0000-0002-0672-1680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) are life-threatening forms of pulmonary hypertension (PH) that require early recognition and referral to expert centers. In 2014, the Pulmonary Hypertension Association (PHA) launched the Pulmonary Hypertension Care Centers (PHCC) initiative to improve access to specialized evaluation and guideline-directed therapy. A decade later, real-world data evaluating referral patterns and time to diagnosis remain limited. We conducted a retrospective analysis of patients referred to Houston Methodist PHCC between January 2022 and December 2023 for suspected or confirmed PH. Of 274 referred patients, 97 were confirmed to have PAH or CTEPH and included in this study. Demographics, referral sources, presenting symptoms, diagnostic and treatment timelines, and risk stratification by REVEAL Lite 2 score were analyzed. At the time of referral, 66% patients lacked a defined group classification, 18% were labeled as PAH, and 13% as CTEPH. Following a comprehensive evaluation, 76 (28%) were confirmed as PAH and 21 (8%) as CTEPH, whereas 14% were determined not to have PH. At presentation, 58% of patients were in WHO FC III or IV, and 63% of patients with PAH were categorized as intermediate or high risk. Median time from symptom onset to diagnosis was 13 months (IQR: 4-29), to treatment 16 months (IQR: 6-35), and to PHCC referral 24 months (IQR: 10-54). 30% of patients with PAH were not receiving PH-specific therapy, and 35% were on suboptimal regimens based on their risk status. Following PHCC evaluation, dual and triple therapy use increased to 50% and 36%. Despite the establishment of the PHCC network, diagnostic delays and therapeutic gaps persist, emphasizing the need for enhanced awareness, standardized referral pathways, and stronger collaboration between community providers and PHCCs.

Indexed as

comprehensive care centerpulmonary hypertensionreferralrisk stratificationtreatment

Identifiers

PMID42724745
PMCPMC13560503

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.