Evidence map›Paper›PMID 42011752›Full record

ArticleDiseases of the esophagus : official journal of the International Society for Diseases of the Esophagus2026

Postoperative pulmonary complications after esophagectomy: risk factors and prediction model.

Dillen C van der Aa, Rahaf Khatib, Wietse J Eshuis, Freek Daams, Suzanne S Gisbertz, Mark van Berge Henegouwen

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Article in Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dillen C van der AaDepartment of Surgery, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, Amsterdam, North Holland, the Netherlands.ORCID 0000-0002-6954-6883
Rahaf KhatibDepartment of Surgery, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, Amsterdam, North Holland, the Netherlands.
Wietse J EshuisDepartment of Surgery, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, Amsterdam, North Holland, the Netherlands.ORCID 0000-0002-0344-6695
Freek DaamsCancer Center Amsterdam, Cancer Treatment and Quality of Life, Amsterdam, North Holland, the Netherlands.ORCID 0000-0001-6323-6342
Suzanne S GisbertzDepartment of Surgery, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, Amsterdam, North Holland, the Netherlands.ORCID 0000-0001-9655-7601
Mark van Berge HenegouwenDepartment of Surgery, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, Amsterdam, North Holland, the Netherlands.ORCID 0000-0001-8689-3134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative pulmonary complications (PPCs) affect up to one-third of patients undergoing esophagectomy and remain a major contributor to postoperative morbidity. This study aimed to identify pre- and perioperative risk factors for PPCs and to develop a predictive model.

methodsThis retrospective cohort study included patients who underwent esophagectomy for esophageal or gastroesophageal junction cancer at Amsterdam UMC between 2013 and 2023. PPCs included pneumonia, pleural effusion, pneumothorax, atelectasis, respiratory failure, aspiration, acute respiratory distress syndrome, tracheobronchial fistula, and persistent air leakage. Univariable and multivariable logistic regression with backward selection were used to identify predictors. Model performance was assessed with the area under the receiver operating characteristic curve (AUC). Statistical significance was set at P < 0.05.

resultsAmong 960 patients, 254 (26.5%) developed at least one PPC. Independent predictors were smoking status (former: OR 1.45, 95% CI 1.03-2.06; current: OR 1.74, 95% CI 1.15-2.63), non-epidural analgesia (paravertebral: OR 1.50, 95% CI 1.03-2.17; other: OR 1.57, 95% CI 0.88-2.82), and cervical versus intrathoracic anastomosis (OR 1.64, 95% CI 1.17-2.29). Drain configuration also influenced the risk of PPC: one-sided double drains were protective (OR 0.48, 95% CI 0.25-0.91), whereas bilateral drains increased the risk (OR 2.60, 95% CI 1.38-4.87), compared with one-sided single drains. The model demonstrated modest discrimination after validation of AUC: 0.598.

conclusionSmoking, paravertebral analgesia, cervical anastomosis, and bilateral drains were independently associated with increased PPC risk. Although predictive performance was modest, these modifiable and structural factors inform perioperative management. Future models should incorporate intraoperative and physiological variables to improve risk stratification.

Indexed as

Esophageal NeoplasmsEsophagectomyLung DiseasesPostoperative ComplicationsAgedFemaleHumansMaleMiddle AgedPrediction AlgorithmsRetrospective StudiesRisk AssessmentRisk FactorsROC Curveesophagectomyprediction modelpulmonary complicationsrisk factors

Identifiers

PMID42011752
PMCPMC13096804

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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.