Literature DB >> 31469745

Readmission After Lobectomy for Lung Cancer: Not All Complications Contribute Equally.

Lisa M Brown1,2, Dylan P Thibault3, Andrzej S Kosinski3, David T Cooke1,2, Mark W Onaitis4, Henning A Gaissert5, Patrick S Romano2,6.   

Abstract

OBJECTIVE: The aim of this study was to identify independent predictors of hospital readmission for patients undergoing lobectomy for lung cancer. SUMMARY BACKGROUND DATA: Hospital readmission after lobectomy is associated with increased mortality. Greater than 80% of the variability associated with readmission after surgery is at the patient level. This underscores the importance of using a data source that includes detailed clinical information.
METHODS: Using the Society of Thoracic Surgeons (STS) General Thoracic Surgery Database (GTSD), we conducted a retrospective cohort study of patients undergoing elective lobectomy for lung cancer. Three separate multivariable logistic regression models were generated: the first included preoperative variables, the second added intraoperative variables, and the third added postoperative variables. The c statistic was calculated for each model.
RESULTS: There were 39,734 patients from 277 centers. The 30-day readmission rate was 8.2% (n = 3237). In the final model, postoperative complications had the greatest effect on readmission. Pulmonary embolus {odds ratio [OR] 12.34 [95% confidence interval (CI),7.94-19.18]} and empyema, [OR 11.66 (95% CI, 7.31-18.63)] were associated with the greatest odds of readmission, followed by pleural effusion [OR 7.52 (95% CI, 6.01-9.41)], pneumothorax [OR 5.08 (95% CI, 4.16-6.20)], central neurologic event [OR 3.67 (95% CI, 2.23-6.04)], pneumonia [OR 3.13 (95% CI, 2.43-4.05)], and myocardial infarction [OR 3.16 (95% CI, 1.71-5.82)]. The c statistic for the final model was 0.736.
CONCLUSIONS: Complications are the main driver of readmission after lobectomy for lung cancer. The highest risk was related to postoperative events requiring a procedure or medical therapy necessitating inpatient care.
Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 31469745     DOI: 10.1097/SLA.0000000000003561

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  6 in total

1.  Determining the most important factors in hospital readmission following surgery for lung cancer.

Authors:  Masayuki Nakao; Junji Ichinose; Yosuke Matsuura; Sakae Okumura; Mingyon Mun
Journal:  Ann Transl Med       Date:  2019-12

2.  [A Nomogram for Prediction of Complications Based on TM&M System of VATS Major Lung Surgery for Lung Cancer].

Authors:  Ke Lan; Jian Zhou; Haihua Guo; Yunfeng Ni; Fan Yang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-12-20

3.  Harmonization of adverse events monitoring following thoracic surgery: Pursuit of a common language and methodology.

Authors:  Gregory Sigler; Caitlin Anstee; Andrew J E Seely
Journal:  JTCVS Open       Date:  2021-04-02

4.  Social disparities in unplanned 30-day readmission rates after hospital discharge in patients with chronic health conditions: A retrospective cohort study using patient level hospital administrative data linked to the population census in Switzerland.

Authors:  Andrea Zumbrunn; Nicole Bachmann; Lucy Bayer-Oglesby; Reto Joerg
Journal:  PLoS One       Date:  2022-09-22       Impact factor: 3.752

5.  Prediction of postoperative cardiopulmonary complications after lung resection in a Chinese population: A machine learning-based study.

Authors:  Guanghua Huang; Lei Liu; Luyi Wang; Shanqing Li
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

6.  Decreased postoperative complications, neuropathic pain and epidural anesthesia-free effect of uniportal video-assisted thoracoscopic anatomical lung resection: a single-center initial experience of 100 cases.

Authors:  Takahiro Homma; Yoshifumi Shimada; Keitaro Tanabe
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

  6 in total

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