Literature DB >> 6791801

The efficacy of nutritional assessment and support in cancer surgery.

B F Smale, J L Mullen, G P Buzby, E F Rosato.   

Abstract

Malnutrition is common in cancer patients and may be an important determinant of operative morbidity and mortality. To determine whether preoperative nutritional assessment can be used to identify a group of high-risk patients, and whether preoperative TPN decreases morbidity and mortality in this group, retrospective, nonrandomized review of 159 patients who were subjected to major cancer surgery was performed. All patients underwent preoperative multiparameter assessment. A previously developed and validated nutritional assessment model (Prognostic Nutritional Index) was used to evaluate the probability of operative complications. Based on predicted outcome (PNI), patients were assigned to either a high-risk or low-risk group for statistical comparison with actual outcome. The effect of preoperative TPN was then analyzed in both risk groups for determination of efficacy of preoperative nutritional support. Substantial malnutrition was found to exist among patients undergoing major cancer surgery and was closely correlated with subsequent morbidity and mortality. This predictive nutritional assessment model accurately identifies a subset of cancer surgery patients at increased risk of operative morbidity and mortality. In this high risk group (PNI greater than or equal to 40%), preoperative nutritional support significantly reduces operative morbidity.

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Year:  1981        PMID: 6791801     DOI: 10.1002/1097-0142(19810515)47:10<2375::aid-cncr2820471009>3.0.co;2-i

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  31 in total

1.  Prediction of mortality in patients in acute medical wards using basic laboratory and anthropometric data.

Authors:  J Woo; Y T Mak; J Lau; R Swaminathan
Journal:  Postgrad Med J       Date:  1992-12       Impact factor: 2.401

2.  Nutritional status of cancer patients and its relationship to function in an inpatient rehabilitation setting.

Authors:  Ying Guo; J Lynn Palmer; Guddi Kaur; Susan Hainley; Beth Young; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2004-12-03       Impact factor: 3.603

Review 3.  Indications and effects of preoperative parenteral nutrition.

Authors:  J M Müller; H W Keller; U Brenner; M Walter; W Holzmüller
Journal:  World J Surg       Date:  1986-02       Impact factor: 3.352

4.  Nutritional benefit of laparoscopic jejunostomy during neoadjuvant chemotherapy for obstructing esophageal cancer.

Authors:  Ken Nagata; Hironori Tsujimoto; Hiromi Nagata; Manabu Harada; Nozomi Ito; Shinsuke Nomura; Hiroyuki Horiguchi; Shuichi Hiraki; Suefumi Aosasa; Kazuo Hase; Hideki Ueno
Journal:  Mol Clin Oncol       Date:  2019-10-16

Review 5.  Overview of randomized clinical trials of total parenteral nutrition for malnourished surgical patients.

Authors:  G P Buzby
Journal:  World J Surg       Date:  1993 Mar-Apr       Impact factor: 3.352

6.  Prognostic nutritional index predicts postoperative complications and long-term outcomes of gastric cancer.

Authors:  Nan Jiang; Jing-Yu Deng; Xue-Wei Ding; Bin Ke; Ning Liu; Ru-Peng Zhang; Han Liang
Journal:  World J Gastroenterol       Date:  2014-08-14       Impact factor: 5.742

7.  [Bacterial osteitis. Special considerations in immunocompromised patients].

Authors:  C Niedhart; O Miltner; K-W Zilkens; F U Niethard
Journal:  Orthopade       Date:  2004-03       Impact factor: 1.087

Review 8.  Is the pharmacological treatment of cancer cachexia possible?

Authors:  E Bruera
Journal:  Support Care Cancer       Date:  1993-11       Impact factor: 3.603

9.  Rapid turnover proteins as a prognostic indicator in cancer patients.

Authors:  Y Inoue; R Nezu; H Matsuda; Y Takagi; A Okada
Journal:  Surg Today       Date:  1995       Impact factor: 2.549

10.  Effect of growth hormone on tumor and host in an animal model.

Authors:  R F Wolf; B Ng; B Weksler; M Burt; M F Brennan
Journal:  Ann Surg Oncol       Date:  1994-07       Impact factor: 5.344

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