Literature DB >> 22703758

Use of different comorbidity scores for risk-adjustment in the evaluation of quality of colorectal cancer surgery: does it matter?

J W T Dekker1, G A Gooiker, L G M van der Geest, N E Kolfschoten, H Struikmans, H Putter, M W J M Wouters, R A E M Tollenaar.   

Abstract

AIMS: Comorbidity affects outcomes after colorectal cancer surgery. However, it's importance in risk adjustment is unclear and different measures are being used. This study aims to assess its impact on post-operative outcomes.
METHODS: All 2204 patients who were operated on for stage I-III colorectal cancer in the Midwestern region of the Netherlands between January 1, 2006 and December 31, 2008 were analyzed. A multivariate two-step enter-model was used to evaluate the effect of the American Society of Anaesthesiologists Physical Status classification (ASA) score, the sum of diseased organ systems (SDOS), the Charlson Comorbidity Index (CCI) and a combination of specific comorbidities on 30-day mortality, surgical complications and a prolonged length of stay (LOS). For each retrieved model, and for a model without comorbidity, a ROC curve was made.
RESULTS: High ASA score, SDOS, CCI, pulmonary disease and previous malignancy were all strongly associated with 30-day mortality and a prolonged LOS. High ASA score and gastro-intestinal comorbidity were risk factors for surgical complications. Predictive values for all comorbidity measures were similar with regard to all adverse post-operative outcomes. Omitting comorbidity only had a marginal effect on the predictive value of the model.
CONCLUSION: Irrespective of the measure used, comorbidity is an independent risk factor for adverse outcome after colorectal surgery. However, the importance of comorbidity in risk-adjustment models is limited. Probably the work and costs of data collection for auditing can be reduced, without compromising risk-adjustment.
Copyright © 2012. Published by Elsevier Ltd.

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Year:  2012        PMID: 22703758     DOI: 10.1016/j.ejso.2012.04.017

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  11 in total

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Authors:  Stéphanie M L M Looijaard; Carel G M Meskers; Monique S Slee-Valentijn; Donald E Bouman; A N Machteld Wymenga; Joost M Klaase; Andrea B Maier
Journal:  Oncologist       Date:  2019-11-20

2.  Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.

Authors:  S de Vries; D B Jeffe; N O Davidson; A D Deshpande; M Schootman
Journal:  Cancer Causes Control       Date:  2014-08-08       Impact factor: 2.506

3.  Assessing measures of comorbidity and functional status for risk adjustment to compare hospital performance for colorectal cancer surgery: a retrospective data-linkage study.

Authors:  Timothy A Dobbins; Tim Badgery-Parker; David C Currow; Jane M Young
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4.  Long Term Outcomes of a Geriatric Liaison Intervention in Frail Elderly Cancer Patients.

Authors:  Liesbeth Hempenius; Joris P J Slaets; Dieneke van Asselt; Truuske H de Bock; Theo Wiggers; Barbara L van Leeuwen
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

5.  Controlling nutritional status (CONUT) score as a preoperative risk assessment index for older patients with colorectal cancer.

Authors:  Yuka Ahiko; Dai Shida; Tomoko Horie; Taro Tanabe; Yasuyuki Takamizawa; Ryohei Sakamoto; Konosuke Moritani; Shunsuke Tsukamoto; Yukihide Kanemitsu
Journal:  BMC Cancer       Date:  2019-11-06       Impact factor: 4.430

6.  Computed Tomography-Based Body Composition Is Not Consistently Associated with Outcome in Older Patients with Colorectal Cancer.

Authors:  Stéphanie M L M Looijaard; Carel G M Meskers; Monique S Slee-Valentijn; Donald E Bouman; A N Machteld Wymenga; Joost M Klaase; Andrea B Maier
Journal:  Oncologist       Date:  2019-11-20

7.  The Cumulative Perioperative Model: Predicting 30-Day Mortality in Abdominal Surgery Cancer Patients.

Authors:  Risa B Myers; Joseph R Ruiz; Christopher M Jermaine; Joseph L Nates
Journal:  J Surg Oncol (Tallinn)       Date:  2020-03-10

8.  "Timed Up & Go": a screening tool for predicting 30-day morbidity in onco-geriatric surgical patients? A multicenter cohort study.

Authors:  Monique G Huisman; Barbara L van Leeuwen; Giampaolo Ugolini; Isacco Montroni; John Spiliotis; Cesare Stabilini; Nicola de'Liguori Carino; Eriberto Farinella; Geertruida H de Bock; Riccardo A Audisio
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

9.  Inequalities in use of total hip arthroplasty for hip fracture: population based study.

Authors:  Daniel C Perry; David Metcalfe; Xavier L Griffin; Matthew L Costa
Journal:  BMJ       Date:  2016-04-27

10.  Availability and feasibility of structured, routine collection of comorbidity data in a colorectal cancer multi-disciplinary team (MDT) setting.

Authors:  A A Abukar; A Ramsanahie; K Martin-Lumbard; E R Herrington; V Winslow; S Wong; S Ahmed; M A Thaha
Journal:  Int J Colorectal Dis       Date:  2018-05-03       Impact factor: 2.571

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