Identifying Patients at Higher Risk of Prolonged Air Leak After Lung Resection.

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Abstract

Predictive models of prolonged air leak have relied on information not always available preoperatively (eg, extent of resection, pleural adhesions). Our objective was to construct a model to identify patients at increased risk of prolonged air leak using preoperative factors exclusively.

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Journal

Journal ID (iso-abbrev): Ann. Thorac. Surg.

Title: The Annals of thoracic surgery

Publisher: Elsevier BV

ISSN (Electronic): 1552-6259

ISSN (Print): 0003-4975

Publication date (Electronic): Nov 2016

Volume: 102

Issue: 5

Affiliations

[1 ] Division of Thoracic Surgery, University of Ottawa, Ottawa, Ontario, Canada; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada. Electronic address: sgilbert@toh.on.ca.

[2 ] Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

[3 ] Division of Thoracic Surgery, University of Ottawa, Ottawa, Ontario, Canada; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

[4 ] Division of Thoracic Surgery, University of Ottawa, Ottawa, Ontario, Canada.

Article

Publisher Item ID: S0003-4975(16)30521-5

DOI: 10.1016/j.athoracsur.2016.05.035

PubMed ID: 27457828

SO-VID: 9de99e63-ccfe-49c3-8929-c894cf52385b

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Identifying Patients at Higher Risk of Prolonged Air Leak After Lung Resection.

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