INTRODUCTION: Cancer survival is related not only to primary malignancy but also to concomitant nonmalignant diseases. The aim of this study was to investigate the prognostic capacity of four comorbidity indices [the Charlson comorbidity index (CCI), the Elixhauser method, the National Institute on Aging (NIA) and National Cancer Institute (NCI) comorbidity index, and the Adult Comorbidity Evaluation-27 (ACE-27)] for both cancer-related and all-cause mortality among colorectal cancer patients. A modified version of the CCI adapted for colorectal cancer patients was also built. METHODS: The study population comprised 468 cases of colorectal cancer diagnosed between 1 January 2000 and 31 December 2010 at a community hospital. Data were prospectively collected and abstracted from patients' clinical records. Kaplan-Meier method and multivariate logistic regression models were performed for survival and risk of death analysis. RESULTS: Only moderate or severe renal disease [hazard ratio (HR) 2.71, 95% confidence interval (CI) 1.11-6.63] and AIDS (HR 3.27, 95% CI 1.23-8.68) were independently associated with cancer-specific mortality, with a population attributable risk of 5.18 and 4.36%, respectively. For each index, the highest comorbidity burden was significantly associated with poorer overall survival (NIA/NCI: HR 2.14, 95% CI 1.14-4.01; Elixhauser: HR 1.98, 95% CI 1.09-1.42; ACE-27: HR 1.78, 95% CI 1.07-1.23; CCI: HR 1.68, 95% CI 1.05-1.42) and cancer-specific survival. The modified version of the CCI resulted in a higher predictive power compared with other indices studied (cancer-specific mortality HR = 2.37, 95% CI 1.37-4.08). CONCLUSIONS: The comorbidity assessment tools provided better prognostic prevision of prospective outcome of colorectal cancer patients than single comorbid conditions.
INTRODUCTION:Cancer survival is related not only to primary malignancy but also to concomitant nonmalignant diseases. The aim of this study was to investigate the prognostic capacity of four comorbidity indices [the Charlson comorbidity index (CCI), the Elixhauser method, the National Institute on Aging (NIA) and National Cancer Institute (NCI) comorbidity index, and the Adult Comorbidity Evaluation-27 (ACE-27)] for both cancer-related and all-cause mortality among colorectal cancerpatients. A modified version of the CCI adapted for colorectal cancerpatients was also built. METHODS: The study population comprised 468 cases of colorectal cancer diagnosed between 1 January 2000 and 31 December 2010 at a community hospital. Data were prospectively collected and abstracted from patients' clinical records. Kaplan-Meier method and multivariate logistic regression models were performed for survival and risk of death analysis. RESULTS: Only moderate or severe renal disease [hazard ratio (HR) 2.71, 95% confidence interval (CI) 1.11-6.63] and AIDS (HR 3.27, 95% CI 1.23-8.68) were independently associated with cancer-specific mortality, with a population attributable risk of 5.18 and 4.36%, respectively. For each index, the highest comorbidity burden was significantly associated with poorer overall survival (NIA/NCI: HR 2.14, 95% CI 1.14-4.01; Elixhauser: HR 1.98, 95% CI 1.09-1.42; ACE-27: HR 1.78, 95% CI 1.07-1.23; CCI: HR 1.68, 95% CI 1.05-1.42) and cancer-specific survival. The modified version of the CCI resulted in a higher predictive power compared with other indices studied (cancer-specific mortality HR = 2.37, 95% CI 1.37-4.08). CONCLUSIONS: The comorbidity assessment tools provided better prognostic prevision of prospective outcome of colorectal cancerpatients than single comorbid conditions.
Authors: N J van Leersum; M L G Janssen-Heijnen; M W J M Wouters; H J T Rutten; J W Coebergh; R A E M Tollenaar; V E P P Lemmens Journal: Int J Cancer Date: 2012-11-05 Impact factor: 7.396
Authors: Dimitrios E Sigounas; Christoforos Krystallis; Graeme Couper; Simon Paterson-Brown; Athina Tatsioni; John N Plevris Journal: United European Gastroenterol J Date: 2016-06-23 Impact factor: 4.623
Authors: Hemalkumar B Mehta; Sneha D Sura; Deepak Adhikari; Clark R Andersen; Stephen B Williams; Anthony J Senagore; Yong-Fang Kuo; James S Goodwin Journal: Cancer Date: 2018-02-01 Impact factor: 6.860
Authors: Antonio Biondi; Marco Vacante; Immacolata Ambrosino; Erika Cristaldi; Giuseppe Pietrapertosa; Francesco Basile Journal: World J Gastrointest Surg Date: 2016-09-27