A risk score to predict postoperative complications after lobectomy in elderly lung cancer patients

Objective In elderly patients with lung cancer, the presumed fear of postoperative complications has resulted in the delivery of limited resection. Surgical decision-making for such patients would become easier if clinicians could predict who is at high risk of postoperative complications. The purpo...

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Veröffentlicht in:General thoracic and cardiovascular surgery 2018-09, Vol.66 (9), p.537-542
Hauptverfasser: Kawaguchi, Yo, Hanaoka, Jun, Ohshio, Yasuhiko, Igarashi, Tomoyuki, Kataoka, Yoko, Okamoto, Keigo, Kaku, Ryosuke, Hayashi, Kazuki
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Sprache:eng
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Zusammenfassung:Objective In elderly patients with lung cancer, the presumed fear of postoperative complications has resulted in the delivery of limited resection. Surgical decision-making for such patients would become easier if clinicians could predict who is at high risk of postoperative complications. The purpose of this study is to propose a scoring system to predict the risk of postoperative complications for elderly patients with lung cancer. Methods We reviewed patients aged 75 years or older who underwent lobectomy for lung cancer at a single hospital ( n  = 199). A multivariable logistic regression model was utilized to determine risk factors for postoperative complications. Results Six risk factors for postoperative complications were identified, and we derived a risk score by assigning weights to these factors based on their odds ratios, as follows: Risk score = 7 × (performance status of 2) + 6 × (coronary artery disease) + 3 × (a history of cerebrovascular accident) + 2 × (restrictive ventilatory impairment) + 1 × (male sex) + 1 × (interstitial pneumonia). The postoperative complication rates in patients with risk scores of 0, 1–2, 3–5, 6–8, and 9–14 were 19, 29, 56, 68, and 90%, respectively. Conclusions The proposed risk score was able to predict the incidence of postoperative complications. The risk score can be used to identify high-risk patients and to select proper treatment strategies.
ISSN:1863-6705
1863-6713
DOI:10.1007/s11748-018-0960-8