Skip to main content
Top
Published in: International Journal of Colorectal Disease 9/2014

01-09-2014 | Original Article

Evaluation of four comorbidity indices and Charlson comorbidity index adjustment for colorectal cancer patients

Authors: Stefano Marventano, Giuseppe Grosso, Antonio Mistretta, Marta Bogusz-Czerniewicz, Roberta Ferranti, Francesca Nolfo, Gabriele Giorgianni, Stefania Rametta, Filippo Drago, Francesco Basile, Antonio Biondi

Published in: International Journal of Colorectal Disease | Issue 9/2014

Login to get access

Abstract

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.
Literature
2.
go back to reference Ries LAG, Melbert D, Krapcho M, Stinchcomb DG, Howlader N, Horner MJ, Mariotto A, Miller BA, Feuer EJ, Altekruse SF, Lewis DR, Clegg L, Eisener MP, Reichman M, Edwards BK (2008) SEER Cancer Statistics Review, 1975-2005: Bethesda Ries LAG, Melbert D, Krapcho M, Stinchcomb DG, Howlader N, Horner MJ, Mariotto A, Miller BA, Feuer EJ, Altekruse SF, Lewis DR, Clegg L, Eisener MP, Reichman M, Edwards BK (2008) SEER Cancer Statistics Review, 1975-2005: Bethesda
4.
go back to reference Biondi A, Grosso G, Mistretta A, Marventano S, Tropea A, Gruttadauria S, Basile F (2014) Predictors of conversion in laparoscopic-assisted colectomy for colorectal cancer and clinical outcomes. Surg Laparosc Endosc Percutan Tech 24:e21–e26. doi:10.1097/SLE.0b013e31828f6bc0 PubMedCrossRef Biondi A, Grosso G, Mistretta A, Marventano S, Tropea A, Gruttadauria S, Basile F (2014) Predictors of conversion in laparoscopic-assisted colectomy for colorectal cancer and clinical outcomes. Surg Laparosc Endosc Percutan Tech 24:e21–e26. doi:10.​1097/​SLE.​0b013e31828f6bc0​ PubMedCrossRef
6.
7.
go back to reference Yun HR, Lee WY, Lee WS, Cho YB, Yun SH, Chun HK (2007) The prognostic factors of stage IV colorectal cancer and assessment of proper treatment according to the patient's status. Int J Colorectal Dis 22:1301–1310PubMedCrossRef Yun HR, Lee WY, Lee WS, Cho YB, Yun SH, Chun HK (2007) The prognostic factors of stage IV colorectal cancer and assessment of proper treatment according to the patient's status. Int J Colorectal Dis 22:1301–1310PubMedCrossRef
8.
go back to reference Kim J, Konyalian V, Huynh R, Mittal R, Stamos M, Kumar R (2007) Identification of predictive factors for perioperative blood transfusion in colorectal resection patients. Int J Colorectal Dis 22:1493–1497PubMedCrossRef Kim J, Konyalian V, Huynh R, Mittal R, Stamos M, Kumar R (2007) Identification of predictive factors for perioperative blood transfusion in colorectal resection patients. Int J Colorectal Dis 22:1493–1497PubMedCrossRef
10.
go back to reference Van Leersum NJ, Janssen-Heijnen ML, Wouters MW, Rutten HJ, Coebergh JW, Tollenaar RA, Lemmens VE (2013) Increasing prevalence of comorbidity in patients with colorectal cancer in the South of the Netherlands 1995-2010. Int J Cancer 132:2157–2163. doi:10.1002/ijc.27871 PubMedCrossRef Van Leersum NJ, Janssen-Heijnen ML, Wouters MW, Rutten HJ, Coebergh JW, Tollenaar RA, Lemmens VE (2013) Increasing prevalence of comorbidity in patients with colorectal cancer in the South of the Netherlands 1995-2010. Int J Cancer 132:2157–2163. doi:10.​1002/​ijc.​27871 PubMedCrossRef
11.
go back to reference Hines RB, Shanmugam C, Waterbor JW, McGwin G Jr, Funkhouser E, Coffey CS, Posey J, Manne U (2009) Effect of comorbidity and body mass index on the survival of African-American and Caucasian patients with colon cancer. Cancer 115:5798–5806. doi:10.1002/cncr.24598 PubMedCentralPubMedCrossRef Hines RB, Shanmugam C, Waterbor JW, McGwin G Jr, Funkhouser E, Coffey CS, Posey J, Manne U (2009) Effect of comorbidity and body mass index on the survival of African-American and Caucasian patients with colon cancer. Cancer 115:5798–5806. doi:10.​1002/​cncr.​24598 PubMedCentralPubMedCrossRef
12.
13.
go back to reference Lemmens VE, Janssen-Heijnen ML, Verheij CD, Houterman S, Repelaer van Driel OJ, Coebergh JW (2005) Co-morbidity leads to altered treatment and worse survival of elderly patients with colorectal cancer. Br J Surg 92:615–623PubMedCrossRef Lemmens VE, Janssen-Heijnen ML, Verheij CD, Houterman S, Repelaer van Driel OJ, Coebergh JW (2005) Co-morbidity leads to altered treatment and worse survival of elderly patients with colorectal cancer. Br J Surg 92:615–623PubMedCrossRef
14.
go back to reference Gross CP, Guo Z, McAvay GJ, Allore HG, Young M, Tinetti ME (2006) Multimorbidity and survival in older persons with colorectal cancer. J Am Geriatr Soc 54:1898–1904PubMedCrossRef Gross CP, Guo Z, McAvay GJ, Allore HG, Young M, Tinetti ME (2006) Multimorbidity and survival in older persons with colorectal cancer. J Am Geriatr Soc 54:1898–1904PubMedCrossRef
15.
go back to reference Charlson M, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251PubMedCrossRef Charlson M, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251PubMedCrossRef
16.
go back to reference Reid BC, Alberg AJ, Klassen AC, Koch WM, Samet JM (2001) The American Society of Anesthesiologists’ class as a comorbidity index in a cohort of head and neck cancer surgical patients. Head Neck 23:985–994PubMedCrossRef Reid BC, Alberg AJ, Klassen AC, Koch WM, Samet JM (2001) The American Society of Anesthesiologists’ class as a comorbidity index in a cohort of head and neck cancer surgical patients. Head Neck 23:985–994PubMedCrossRef
17.
go back to reference Pasternak I, Dietrich M, Woodman R, Metzger U, Wattchow DA, Zingg U (2010) Use of severity classification systems in the surgical decision-making process in emergency laparotomy for perforated diverticulitis. Int J Colorectal Dis 25:463–470. doi:10.1007/s00384-009-0852-6 PubMedCrossRef Pasternak I, Dietrich M, Woodman R, Metzger U, Wattchow DA, Zingg U (2010) Use of severity classification systems in the surgical decision-making process in emergency laparotomy for perforated diverticulitis. Int J Colorectal Dis 25:463–470. doi:10.​1007/​s00384-009-0852-6 PubMedCrossRef
18.
go back to reference Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures for use with administrative data. Med Care 36:8–27PubMedCrossRef Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures for use with administrative data. Med Care 36:8–27PubMedCrossRef
19.
20.
go back to reference Havlik RJ, Yancik R, Long S, Ries L, Edwards B (1994) The National Institute on Aging and the National Cancer Institute SEER collaborative study on comorbidity and early diagnosis of cancer in the elderly. Cancer 74:2101–2106PubMedCrossRef Havlik RJ, Yancik R, Long S, Ries L, Edwards B (1994) The National Institute on Aging and the National Cancer Institute SEER collaborative study on comorbidity and early diagnosis of cancer in the elderly. Cancer 74:2101–2106PubMedCrossRef
21.
go back to reference Yancik R, Wesley MN, Ries LA, Havlik RJ, Long S, Edwards BK, Yates JW (1998) Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study. Cancer 82:2123–2134PubMedCrossRef Yancik R, Wesley MN, Ries LA, Havlik RJ, Long S, Edwards BK, Yates JW (1998) Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study. Cancer 82:2123–2134PubMedCrossRef
22.
go back to reference Lieffers JR, Baracos VE, Winget M, Fassbender K (2011) A comparison of Charlson and Elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data. Cancer 117:1957–1965. doi:10.1002/cncr.25653 PubMedCrossRef Lieffers JR, Baracos VE, Winget M, Fassbender K (2011) A comparison of Charlson and Elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data. Cancer 117:1957–1965. doi:10.​1002/​cncr.​25653 PubMedCrossRef
23.
go back to reference Baldwin LM, Klabunde CN, Green P, Barlow W, Wright G (2006) In search of the perfect comorbidity measure for use with administrative claims data: does it exist? Med Care 44:745–753PubMedCrossRef Baldwin LM, Klabunde CN, Green P, Barlow W, Wright G (2006) In search of the perfect comorbidity measure for use with administrative claims data: does it exist? Med Care 44:745–753PubMedCrossRef
25.
go back to reference National Institutes of Health (1998) Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults—the evidence report National Institutes of Health (1998) Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults—the evidence report
26.
go back to reference Green FL, Page DL, Fleming ID, Fritz A, Balch CM, Haller DG (2002) American Joint Committee on Cancer. AJCC Cancer Staging Manual, London Green FL, Page DL, Fleming ID, Fritz A, Balch CM, Haller DG (2002) American Joint Committee on Cancer. AJCC Cancer Staging Manual, London
27.
go back to reference Compton C, Fenoglio-Preiser CM, Pettigrew N, Fielding LP (2000) American Joint Committee on Cancer Prognostic Factors Consensus Conference: Colorectal Working Group. Cancer 88:1739–1757PubMedCrossRef Compton C, Fenoglio-Preiser CM, Pettigrew N, Fielding LP (2000) American Joint Committee on Cancer Prognostic Factors Consensus Conference: Colorectal Working Group. Cancer 88:1739–1757PubMedCrossRef
28.
go back to reference Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL Jr (2004) Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA 291:2441–2447PubMedCrossRef Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL Jr (2004) Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA 291:2441–2447PubMedCrossRef
29.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef
30.
go back to reference Read WL, Tierney RM, Page NC, Costas I, Govindan R, Spitznagel EL, Piccirillo JF (2004) Differential prognostic impact of comorbidity. J Clin Oncol 22:3099–3103PubMedCrossRef Read WL, Tierney RM, Page NC, Costas I, Govindan R, Spitznagel EL, Piccirillo JF (2004) Differential prognostic impact of comorbidity. J Clin Oncol 22:3099–3103PubMedCrossRef
33.
go back to reference Kieszak SM, Flanders WD, Kosinski AS, Shipp CC, Karp H (1999) A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. J Clin Epidemiol 52:137–142PubMedCrossRef Kieszak SM, Flanders WD, Kosinski AS, Shipp CC, Karp H (1999) A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. J Clin Epidemiol 52:137–142PubMedCrossRef
34.
go back to reference De Groot V, Beckerman H, Lankhorst GJ, Bouter LM (2003) How to measure comorbidity: a critical review of available methods. J Clin Epidemiol 56:221–229PubMedCrossRef De Groot V, Beckerman H, Lankhorst GJ, Bouter LM (2003) How to measure comorbidity: a critical review of available methods. J Clin Epidemiol 56:221–229PubMedCrossRef
35.
go back to reference Ouellette JR, Small DG, Termuhlen PM (2004) Evaluation of Charlson-Age Comorbidity Index as predictor of morbidity and mortality in patients with colorectal carcinoma. J Gastrointest Surg 8:1061–1067PubMedCrossRef Ouellette JR, Small DG, Termuhlen PM (2004) Evaluation of Charlson-Age Comorbidity Index as predictor of morbidity and mortality in patients with colorectal carcinoma. J Gastrointest Surg 8:1061–1067PubMedCrossRef
Metadata
Title
Evaluation of four comorbidity indices and Charlson comorbidity index adjustment for colorectal cancer patients
Authors
Stefano Marventano
Giuseppe Grosso
Antonio Mistretta
Marta Bogusz-Czerniewicz
Roberta Ferranti
Francesca Nolfo
Gabriele Giorgianni
Stefania Rametta
Filippo Drago
Francesco Basile
Antonio Biondi
Publication date
01-09-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Colorectal Disease / Issue 9/2014
Print ISSN: 0179-1958
Electronic ISSN: 1432-1262
DOI
https://doi.org/10.1007/s00384-014-1972-1

Other articles of this Issue 9/2014

International Journal of Colorectal Disease 9/2014 Go to the issue