Literature DB >> 22987098

Influence of comorbidity and age on 1-, 2-, and 3-month postoperative mortality rates in gastrointestinal cancer patients.

Yvette R B M van Gestel1, Valery E P P Lemmens, Ignace H J T de Hingh, Jessie Steevens, Harm J T Rutten, Grard A P Nieuwenhuijzen, Ronald M van Dam, Peter D Siersema.   

Abstract

BACKGROUND: Studies on the impact of comorbidity and age on postoperative outcome after gastrointestinal tumor resection are scarce. In this study we investigated the impact of comorbidity and age on 30-, 60-, and 90-day mortality after resection of esophageal, gastric, periampullary, colon, and rectal cancer.
METHODS: The study included 8,583 patients recorded in the population-based Netherlands Cancer Registry, regions Eindhoven (Eindhoven Cancer Registry) and Mid and South Limburg, who underwent resection for cancer stage I-III. Patients were diagnosed between 2005 and 2010. Age was categorized as <65, 65-74, and ≥75 years.
RESULTS: Comorbidity was present in more than two-thirds (n = 5,910) of patients. The 30-day mortality rates ranged from 0.5 % for rectal cancer patients <65 years to 12.8 % for gastric cancer patients ≥75 years. Patients with comorbidity who underwent esophageal tumor resection had the highest mortality rates, ranging from 8.4 % for 30-day to 12.0 % for 90-day mortality, while rectal cancer patients had the lowest rates, that is, 4.3-6.4 %, respectively. In multivariable analyses, cardiac disease (odds ratio [OR] = 1.74, 95 % confidence interval [95 % CI] = 1.32-2.30), vascular disease (OR = 1.41, 95 % CI = 1.02-1.95) and previous malignancies (OR = 1.38, 95 % CI = 1.02-1.86) in colon cancer, and cardiac disease (OR = 1.81, 95 % CI = 1.10-2.98) and vascular disease (OR = 1.95, 95 % CI = 1.11-3.42) in rectal cancer were associated with the highest 30-day mortality.
CONCLUSIONS: Postoperative mortality extends beyond 30 days. Comorbidity and older age are associated with early postoperative mortality after gastrointestinal cancer resection. Underlying comorbidity should be identified preoperatively with attention to patients' specific needs to optimally attenuate risk prior to surgery. A less aggressive treatment approach may well be considered in these groups.

Entities:  

Mesh:

Year:  2012        PMID: 22987098     DOI: 10.1245/s10434-012-2663-1

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  33 in total

1.  Risk model for right hemicolectomy based on 19,070 Japanese patients in the National Clinical Database.

Authors:  Hirotoshi Kobayashi; Hiroaki Miyata; Mitsukazu Gotoh; Hideo Baba; Wataru Kimura; Yuko Kitagawa; Tohru Nakagoe; Mitsuo Shimada; Naohiro Tomita; Kenichi Sugihara; Masaki Mori
Journal:  J Gastroenterol       Date:  2013-07-27       Impact factor: 7.527

2.  Volume-outcome relationships in pancreatoduodenectomy for cancer.

Authors:  Lydia G M van der Geest; L Bengt van Rijssen; I Quintus Molenaar; Ignace H de Hingh; Bas Groot Koerkamp; Olivier R C Busch; Valery E P P Lemmens; Marc G H Besselink
Journal:  HPB (Oxford)       Date:  2016-02-11       Impact factor: 3.647

3.  Is the benefit of laparoscopy maintained in elderly patients undergoing rectal cancer resection? An analysis of 446 consecutive patients.

Authors:  Gilles Manceau; Elisabeth Hain; Léon Maggiori; Cécile Mongin; Justine Prost À la Denise; Yves Panis
Journal:  Surg Endosc       Date:  2016-06-17       Impact factor: 4.584

4.  Identifying Modifiable and Non-modifiable Risk Factors of Readmission and Short-Term Mortality in Osteosarcoma: A National Cancer Database Study.

Authors:  Daniel R Evans; Alexander L Lazarides; Mark M Cullen; Julia D Visgauss; Jason A Somarelli; Dan G Blazer; Brian E Brigman; William C Eward
Journal:  Ann Surg Oncol       Date:  2021-05-20       Impact factor: 5.344

5.  Racial and Ethnic Variability in the Prevalence and Incidence of Comorbidities Associated with Gastric Cancer in the United States.

Authors:  Kimberly A Lowe; Mark D Danese; Michelle L Gleeson; Wendy J Langeberg; Juan Ke; Michael A Kelsh
Journal:  J Gastrointest Cancer       Date:  2016-06

6.  The clinical features, management, and survival of elderly patients with gastric cancer.

Authors:  Lei Shen; Xiaomei Zhang; Lu Kong; Yifei Wang
Journal:  J Gastrointest Oncol       Date:  2022-04

7.  Predictors of postoperative complications in elderly and oldest old patients with gastric cancer.

Authors:  Takehiro Takama; Keiichi Okano; Akihiro Kondo; Shintaro Akamoto; Masao Fujiwara; Hisashi Usuki; Yasuyuki Suzuki
Journal:  Gastric Cancer       Date:  2014-05-30       Impact factor: 7.370

8.  The role of comorbidity assessment in guiding treatment decision-making for women with early breast cancer: a systematic literature review.

Authors:  Stephanie Webster; Sharon Lawn; Raymond Chan; Bogda Koczwara
Journal:  Support Care Cancer       Date:  2019-12-11       Impact factor: 3.603

9.  Impact of Age on Surgical Outcomes for Locally Advanced Esophageal Cancer.

Authors:  Norma E Farrow; Vignesh Raman; Oliver K Jawitz; Soraya L Voigt; Betty C Tong; David H Harpole; Thomas A D'Amico
Journal:  Ann Thorac Surg       Date:  2020-08-24       Impact factor: 4.330

10.  Remission of type 2 diabetes after gastrectomy for gastric cancer: diabetes prediction score.

Authors:  Yeongkeun Kwon; Jin-Won Kwon; Jane Ha; Dohyang Kim; Jaehyeong Cho; Soo Min Jeon; Shin-Hoo Park; Jinseub Hwang; Nam Hoon Kim; Sungsoo Park
Journal:  Gastric Cancer       Date:  2021-07-22       Impact factor: 7.370

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.