Development of a multivariable prediction model for prolonged air leak after lung resection.

Journal: World journal of surgery
PMID: 38526478

Abstract

OBJECTIVES: Prolonged air leak (PAL) is a common complication of lung resection. Research on predictors of PAL using a digital drainage system (DDS) remains insufficient. In this study, we investigated the predictive factors of PAL to establish a novel early postoperative prediction model for PAL.

Authors

  • Akiisa Omura
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Ryu Kanzaki
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Hirokazu Watari
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Sachi Kawagishi
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Ryo Tanaka
    Graduate School of Humanities and Social Sciences, Hiroshima University, Japan.
  • Tomohiro Maniwa
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Makoto Fujii
    Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan.
  • Jiro Okami
    Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.

Keywords

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