Literature DB >> 35645121

Factors contributing to the mortality of elderly patients with colorectal cancer within a year after surgery.

Wei Shang1, Wenguang Yuan1, Ran Liu1, Chuanwang Yan2, Mofan Fu2, Hui Yang1, Jingbo Chen1.   

Abstract

Aims: Patients with colorectal cancer (CRC) have a lower survival rate during the first year following resection surgery. We analyzed the factors influencing this early mortality. Methods and Material: The clinicopathological data of patients aged 70 years or older who underwent radical surgery for CRC between January 2012 and December 2018 were collected and analyzed retrospectively. A total of 242 patients (141 males and 101 females), including 93 with colon cancer and 139 with rectal cancer, were included in this study. Patients were divided into two groups according to whether they survived beyond the first year after surgery. The clinicopathological data of both groups were compared using Chi-square or Fisher's exact tests. The risk factors for mortality within 1-year after surgery were analyzed using the Cox regression model.
Results: Forty-three patients experienced at least one complication, including 34 cases with Clavien-Dindo grade I-II complications and 12 with Clavien-Dindo grade III-IV complications. Eleven patients died in the year following surgery. Patients with postoperative complications had higher mortality rates within the first year. Univariate analysis revealed that carbohydrate antigen 19-9 (CA19-9) levels, American Society of Anesthesiologists (ASA) grades, and differentiation degree influenced the 1-year overall survival (OS) and disease-free survival (DFS). Multivariate analysis confirmed that CA19-9 levels and ASA grades were independent factors affecting OS and DFS during the first year after surgery.
Conclusion: Postoperative complications were associated with the early death of elderly CRC patients. CA19-9 levels and ASA grades are independent factors influencing OS and DFS.

Entities:  

Keywords:  Colorectal cancer; elderly patients; postoperative mortality

Year:  2022        PMID: 35645121     DOI: 10.4103/jcrt.jcrt_1478_21

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  1 in total

1.  Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms.

Authors:  Xuezhi Du; Han Qi; Wenbin Ji; Peiyuan Li; Run Hua; Wenliang Hu; Feng Qi
Journal:  Comput Math Methods Med       Date:  2022-10-11       Impact factor: 2.809

  1 in total

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