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Elderly patients over 80 years undergoing colorectal cancer resection: Development and validation of a predictive nomogram for survival.
Chok, Aik Yong; Zhao, Yun; Chen, Hui Lionel Raphael; Tan, Ivan En-Howe; Chew, Desmond Han Wen; Zhao, Yue; Au, Marianne Kit Har; Tan, Emile John Kwong Wei.
Afiliação
  • Chok AY; Department of Colorectal Surgery, Singapore General Hospital, Singapore 169608, Singapore. chokaikyong@gmail.com.
  • Zhao Y; Department of Colorectal Surgery, Singapore General Hospital, Singapore 169608, Singapore.
  • Chen HLR; Group Finance Analytics, Singapore Health Services, Singapore 168582, Singapore.
  • Tan IE; Department of Colorectal Surgery, Singapore General Hospital, Singapore 169608, Singapore.
  • Chew DHW; Group Finance Analytics, Singapore Health Services, Singapore 168582, Singapore.
  • Zhao Y; Group Finance Analytics, Singapore Health Services, Singapore 168582, Singapore.
  • Au MKH; Department of Colorectal Surgery, Singapore General Hospital, Singapore 169608, Singapore.
  • Tan EJKW; Group Finance, Singapore Health Services, Singapore 168582, Singapore.
World J Gastrointest Surg ; 15(5): 892-905, 2023 May 27.
Article em En | MEDLINE | ID: mdl-37342856
ABSTRACT

BACKGROUND:

Surgery remains the primary treatment for localized colorectal cancer (CRC). Improving surgical decision-making for elderly CRC patients necessitates an accurate predictive tool.

AIM:

To build a nomogram to predict the overall survival of elderly patients over 80 years undergoing CRC resection.

METHODS:

Two hundred and ninety-five elderly CRC patients over 80 years undergoing surgery at Singapore General Hospital between 2018 and 2021 were identified from the American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) database. Prognostic variables were selected using univariate Cox regression, and clinical feature selection was performed by the least absolute shrinkage and selection operator regression. A nomogram for 1- and 3-year overall survival was constructed based on 60% of the study cohort and tested on the remaining 40%. The performance of the nomogram was evaluated using the concordance index (C-index), area under the receiver operating characteristic curve (AUC), and calibration plots. Risk groups were stratified using the total risk points derived from the nomogram and the optimal cut-off point. Survival curves were compared between the high- and low-risk groups.

RESULTS:

Eight predictors Age, Charlson comorbidity index, body mass index, serum albumin level, distant metastasis, emergency surgery, postoperative pneumonia, and postoperative myocardial infarction, were included in the nomogram. The AUC values for the 1-year survival were 0.843 and 0.826 for the training and validation cohorts, respectively. The AUC values for the 3-year survival were 0.788 and 0.750 for the training and validation cohorts, respectively. C-index values of the training cohort (0.845) and validation cohort (0.793) suggested the excellent discriminative ability of the nomogram. Calibration curves demonstrated a good consistency between the predictions and actual observations of overall survival in both training and validation cohorts. A significant difference in overall survival was seen between elderly patients stratified into low- and high-risk groups (P < 0.001).

CONCLUSION:

We constructed and validated a nomogram predicting 1- and 3-year survival probability in elderly patients over 80 years undergoing CRC resection, thereby facilitating holistic and informed decision-making among these patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article