Literature DB >> 24410420

The palliative index: predicting outcomes of emergent surgery in patients with cancer.

Robert E Roses1, Ching-Wei D Tzeng, Merrick I Ross, Keith F Fournier, Daniel E Abbott, Y Nancy You.   

Abstract

BACKGROUND: The role of emergent palliative surgery in the setting of advanced malignancy remains a subject of controversy.
OBJECTIVE: The purpose of this study was to identify clinical predictors of outcome in patients with cancer who undergo nonelective abdominal surgery. SETTING/
SUBJECTS: Individuals who underwent urgent and emergent abdominal operations between 2006 and 2010 at a tertiary cancer center were identified. MEASUREMENTS: Analyses were performed to identify predictors of 30-day morbidity and mortality as well as overall survival (OS). A risk score was derived from predictors of OS.
RESULTS: Of 143 patients, 93 (65%) had active disease (AD; defined as evidence of malignancy at time of surgery). Thirty-day morbidity and mortality were 36.4% and 9.8%, respectively. Independent predictors of 30-day mortality included ASA score >3 (p=0.009) and albumin <2.8 (p=0.040). Median OS was 5.4 months in patients with AD and was not reached in patients without AD (p<0.001). Independent predictors of decreased OS included AD; ASA >3; creatinine >1.3; and a tumor-related indication (i.e., bleeding, obstructing, or perforating tumor). A risk or palliative index (PI) score stratified patients into groups with discreet outcomes.
CONCLUSIONS: Although AD did not predict 30-day morbidity, it was the dominant independent predictor of postoperative OS. In cancer patients undergoing emergency abdominal surgery, outcome is anticipated by disease status and other independent predictors of OS.

Entities:  

Mesh:

Year:  2014        PMID: 24410420      PMCID: PMC3887430          DOI: 10.1089/jpm.2013.0235

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  11 in total

1.  Comparison of hospital performance in emergency versus elective general surgery operations at 198 hospitals.

Authors:  Angela M Ingraham; Mark E Cohen; Mehul V Raval; Clifford Y Ko; Avery B Nathens
Journal:  J Am Coll Surg       Date:  2011-01       Impact factor: 6.113

2.  Nomogram to predict risk of 30-day morbidity and mortality for patients with disseminated malignancy undergoing surgical intervention.

Authors:  Warren H Tseng; Xiaowei Yang; Hui Wang; Steve R Martinez; Steven L Chen; Frederick J Meyers; Richard J Bold; Robert J Canter
Journal:  Ann Surg       Date:  2011-08       Impact factor: 12.969

3.  Outcome analyses after the first admission to an intensive care unit in patients with advanced cancer referred to a phase I clinical trials program.

Authors:  Siqing Fu; David S Hong; Aung Naing; Jennifer Wheler; Gerald Falchook; Sijin Wen; Adrienne Howard; Diane Barber; Joseph Nates; Kristen Price; Razelle Kurzrock
Journal:  J Clin Oncol       Date:  2011-08-15       Impact factor: 44.544

4.  Comparison of 30-day outcomes after emergency general surgery procedures: potential for targeted improvement.

Authors:  Angela M Ingraham; Mark E Cohen; Karl Y Bilimoria; Mehul V Raval; Clifford Y Ko; Avery B Nathens; Bruce L Hall
Journal:  Surgery       Date:  2010-08       Impact factor: 3.982

5.  The added cost of urgent cholecystectomy to health systems.

Authors:  Steven L Chen; Matthew C Comstock; Paul A Taheri
Journal:  J Am Coll Surg       Date:  2003-07       Impact factor: 6.113

6.  A prospective, symptom related, outcomes analysis of 1022 palliative procedures for advanced cancer.

Authors:  Thomas J Miner; Murray F Brennan; David P Jaques
Journal:  Ann Surg       Date:  2004-10       Impact factor: 12.969

7.  Challenges in surgical management of abdominal pain in the neutropenic cancer patient.

Authors:  Brian D Badgwell; Janice N Cormier; Curtis J Wray; Gautam Borthakur; Wei Qiao; Kenneth V Rolston; Raphael E Pollock
Journal:  Ann Surg       Date:  2008-07       Impact factor: 12.969

8.  Hospital costs associated with surgical complications: a report from the private-sector National Surgical Quality Improvement Program.

Authors:  Justin B Dimick; Steven L Chen; Paul A Taheri; William G Henderson; Shukri F Khuri; Darrell A Campbell
Journal:  J Am Coll Surg       Date:  2004-10       Impact factor: 6.113

9.  Pneumoperitoneum in the cancer patient.

Authors:  Brian Badgwell; Barry W Feig; Merrick I Ross; Paul F Mansfield; Sijin Wen; George J Chang
Journal:  Ann Surg Oncol       Date:  2007-08-07       Impact factor: 5.344

10.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.

Authors:  Daniel Dindo; Nicolas Demartines; Pierre-Alain Clavien
Journal:  Ann Surg       Date:  2004-08       Impact factor: 12.969

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  5 in total

1.  A preoperative personalized risk assessment calculator for elderly ovarian cancer patients undergoing primary cytoreductive surgery.

Authors:  Emma L Barber; Sarah Rutstein; William C Miller; Paola A Gehrig
Journal:  Gynecol Oncol       Date:  2015-10-23       Impact factor: 5.482

2.  A retrospective analysis of emergency surgery for cases of acute abdomen during cancer chemotherapy. Case series.

Authors:  Yoshiaki Maeda; Toshiki Shinohara; Nozomi Minagawa; Tadayuki Kobayashi; Ryota Koyama; Shingo Shimada; Yusuke Tsunetoshi; Keisuke Murayama; Haruka Hasegawa
Journal:  Ann Med Surg (Lond)       Date:  2020-07-23

3.  Current management of surgical oncologic emergencies.

Authors:  Marianne R F Bosscher; Barbara L van Leeuwen; Harald J Hoekstra
Journal:  PLoS One       Date:  2015-05-01       Impact factor: 3.240

4.  Emergency surgery in the elderly: the balance between function, frailty, fatality and futility.

Authors:  Kjetil Søreide; Kari F Desserud
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-02-03       Impact factor: 2.953

5.  Factors Associated with Short-Term Mortality After Surgical Oncologic Emergencies.

Authors:  Marianne R F Bosscher; Esther Bastiaannet; Barbara L van Leeuwen; Harald J Hoekstra
Journal:  Ann Surg Oncol       Date:  2015-11-09       Impact factor: 5.344

  5 in total

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