Literature DB >> 25663072

Predicting postoperative exercise capacity after major lung resection.

Yoshinori Nagamatsu1, Susumu Sueyoshi2, Tatsuji Tsubuku2, Masayuki Kawasaki3, Yoshito Akagi4.   

Abstract

PURPOSE: This study investigates whether postoperative exercise capacity can be predicted from preoperative lung perfusion scintigraphy and the number of subsegments resected.
METHODS: We studied 315 patients, with 158 being assigned odd numbers and 157 being assigned even numbers. In the 158 patients assigned odd numbers, the predicted postoperative VO2 max/m2 (ppo VO2 max/m2) was obtained from the results of lung perfusion scintigraphy and the number of subsegments scheduled for resection. We then examined correlations with the actual values, 2 weeks and 1 month postoperatively, to obtain a regression equation (Series 1). In the 157 patients assigned even numbers, the ppo VO2 max/m2 corrected by the regression equation derived from Series 1 (corrected-ppo VO2 max/m2) was compared with the actual values, 2 weeks and 1 month postoperatively, to establish whether the postoperative VO2 max/m2 could be predicted.
RESULTS: The regression equation between the ppo VO2 max/m2 and its actual value was y = 0.83x + 103, 2 weeks postoperatively, and y = 0.923x + 82, 1 month postoperatively. The difference between the corrected-ppo VO2 max/m2 and the actual postoperative value was small.
CONCLUSIONS: Calculating the residual [Formula: see text]o2 max/m2 preoperatively from the results of lung perfusion scintigraphy and the number of segments scheduled for resection is useful for predicting postoperative exercise capacity.

Entities:  

Keywords:  Exercise testing; Lung cancer surgery; Lung physiology; Postoperative care

Mesh:

Year:  2015        PMID: 25663072     DOI: 10.1007/s00595-015-1121-7

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  16 in total

1.  Prediction of postoperative lung function in patients with lung cancer: comparison of quantitative CT with perfusion scintigraphy.

Authors:  Ming-Ting Wu; Huay-Ben Pan; Ambrose A Chiang; Hon-Ki Hsu; Huang-Chou Chang; Nan-Jing Peng; Ping-Hong Lai; Huei-Lung Liang; Chien-Fang Yang
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

2.  Prediction of pulmonary function after lung lobectomy by subsegments counting, computed tomography, single photon emission computed tomography and computed tomography: a comparative study.

Authors:  Kentaro Yoshimoto; Hiroaki Nomori; Takeshi Mori; Hironori Kobayashi; Yasuomi Ohba; Hidekatsu Shibata; Shinya Shiraishi; Toshiaki Kobayashi
Journal:  Eur J Cardiothorac Surg       Date:  2009-01-21       Impact factor: 4.191

3.  Perceived exertion as an indicator of somatic stress.

Authors:  G Borg
Journal:  Scand J Rehabil Med       Date:  1970

Review 4.  Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary.

Authors:  R A Pauwels; A S Buist; P M Calverley; C R Jenkins; S S Hurd
Journal:  Am J Respir Crit Care Med       Date:  2001-04       Impact factor: 21.405

5.  Factors related to an early restoration of exercise capacity after major lung resection.

Authors:  Yoshinori Nagamatsu; Yasunori Iwasaki; Ryozo Hayashida; Masaki Kashihara; Tatsuya Nishi; Koichi Yoshiyama; Hideaki Yamana; Kazuo Shirouzu
Journal:  Surg Today       Date:  2011-08-26       Impact factor: 2.549

6.  How does the type of thoracotomy affect the patient quality of life? A short form-36 health survey study.

Authors:  Timuçin Alar; Kenan Can Ceylan; Seyda Ors Kaya; Serpil Sevinç; Deniz Sigirli; Cemal Ozçelik
Journal:  Surg Today       Date:  2013-04-14       Impact factor: 2.549

7.  A method for predicting postoperative lung function and its relation to postoperative complications in patients with lung cancer.

Authors:  K Nakahara; Y Monden; K Ohno; S Miyoshi; H Maeda; Y Kawashima
Journal:  Ann Thorac Surg       Date:  1985-03       Impact factor: 4.330

8.  Prediction of pulmonary function after resection of primary lung cancer. Utility of inhalation-perfusion SPECT imaging.

Authors:  T Imaeda; M Kanematsu; S Asada; M Seki; E Matsui; H Doi; S Sakai; M Kokubo; H Hirose
Journal:  Clin Nucl Med       Date:  1995-09       Impact factor: 7.794

9.  Predicting postoperative pulmonary function in patients undergoing lung resection.

Authors:  B G Zeiher; T J Gross; J A Kern; L A Lanza; M W Peterson
Journal:  Chest       Date:  1995-07       Impact factor: 9.410

10.  Gender difference as a prognostic factor in patients undergoing resection of non-small cell lung cancer.

Authors:  Takeshi Hanagiri; Kenji Sugio; Hidetaka Uramoto; Tetsuya So; Yoshinobu Ichiki; Masakazu Sugaya; Kenji Ono; Manabu Yasuda; Tadahiro Nozoe; Kosei Yasumoto
Journal:  Surg Today       Date:  2007-06-26       Impact factor: 2.540

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  2 in total

1.  Predicting exercise capacity after lobectomy by single photon emission computed tomography and computed tomography.

Authors:  Yoshinori Nagamatsu; Susumu Sueyoshi; Hiroko Sasahara; Yousuke Oka; Hiroyuki Kumazoe; Masahiro Mitsuoka; Yoshito Akagi
Journal:  Gen Thorac Cardiovasc Surg       Date:  2016-06-02

2.  The Marsden Morbidity Index: the derivation and validation of a simple risk index scoring system using cardiopulmonary exercise testing variables to predict morbidity in high-risk patients having major cancer surgery.

Authors:  Z Nawoor-Quinn; A Oliver; R Raobaikady; K Mohammad; S Cone; R Kasivisvanathan
Journal:  Perioper Med (Lond)       Date:  2022-09-22
  2 in total

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