Evidence map›Paper›PMID 41879136›Full record

Observational studyTherapeutic advances in respiratory disease

Bronchoscopic occlusion for central bronchopleural fistula after pulmonary resection: material selection and risk model for long-term prognosis.

Jiaping Liu, Lixin Cui, Heng Zou, Hongwu Wang

Abstract readObservational Study
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Observational study in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiaping LiuRespiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Lixin CuiRespiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Heng ZouRespiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Hongwu WangRespiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, People's Republic of China.ORCID 0000-0001-6401-977X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral bronchopleural fistula (cBPF) is one of the most severe complications after pulmonary resection, with high morbidity and mortality. Bronchoscopic occlusion has emerged as a minimally invasive treatment for cBPF, but systematic evidence to guide optimal material selection and to predict treatment efficacy is lacking.

objectivesTo evaluate how anatomical characteristics of cBPF influence the choice of bronchoscopic occlusion materials, and to develop a risk model for individualized prediction of long-term occlusion outcomes.

designSingle-center retrospective observational study.

methodsWe analyzed clinical data of 56 patients with postoperative cBPF. Fistula anatomical features and their matching with various occlusion materials were evaluated. Occlusion strategies were categorized as pure pharmacologic therapy, stent-only, or combined approaches, according to the actual combinations of materials used during bronchoscopic occlusion. An outcome prediction model was constructed using the least absolute shrinkage and selection operator (LASSO) for feature selection and a Bayesian cumulative logit mixed-effects model for longitudinal outcomes at multiple time points, and key risk factors for long-term outcomes were identified during follow-up.

resultsFistula size and type largely determined the choice of occlusion strategy. Occlusion outcomes evolved dynamically over time, with the 3-month postocclusion mark representing a key inflection point in outcome stability. The model showed that the 1-3-month period after bronchoscopic occlusion was a high-risk window for unfavorable occlusion grades. Patients with occult fistulas and those treated with pure pharmacologic therapy were more likely to maintain or regain better occlusion status. A visual risk-scoring nomogram was constructed based on this model to support risk stratification and individualized outcome prediction.

conclusionThis study provides new evidence to guide material selection for bronchoscopic cBPF occlusion and to predict therapeutic outcomes and long-term prognosis. The findings support an individualized treatment strategy and dynamic management approach for patients with bronchial stump fistula.

Indexed as

Bronchial FistulaBronchoscopyPleural DiseasesPneumonectomyRespiratory Tract FistulaTherapeutic OcclusionAgedBayes TheoremFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsBayesian cumulative logit mixed-effects modelbronchopleural fistulabronchoscopic occlusionprognostic factorspulmonary resection

Identifiers

PMID41879136
PMCPMC13018695

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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.