Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Oct-Dec;7(4):240-243.
doi: 10.4103/sajc.sajc_241_17.

Age-adjusted charlson comorbidity index and 30-day morbidity in pelvic surgeries

Affiliations

Age-adjusted charlson comorbidity index and 30-day morbidity in pelvic surgeries

Sampada B Dessai et al. South Asian J Cancer. 2018 Oct-Dec.

Abstract

Introduction: Charlson comorbidity index (CCI) is a validated tool enabling clinicians for prediction of adverse events posttherapy. In this study, we planned to estimate the predictive value of age-adjusted CCI (ACCI) in assessing the perioperative complication in oncological patients undergoing major pelvic surgeries.

Methods: This was a single arm, prospective, observational study, in which adult patients with pelvic malignancies undergoing pelvic surgeries were selected. The relationship between the ACCI and Grade 3-5 adverse events were tested using Fisher's test.

Results: The rate of Grade 3-5 adverse event rate was 16.7% (11 patients, n = 66). Among the whole cohort, 11 patients (16.7%) had high score on ACCI. The rate of Grade 3-5 adverse events was higher in the cohort of patients with high ACCI score (45.5% vs. 10.9%, P = 0.014). The sensitivity, specificity and negative and positive predictive values were 45.5%, 89.1%, 89.1%, and 45.5%, respectively.

Conclusion: ACCI can predict for postsurgical adverse events. It has a high negative predictive value for nonoccurrence of adverse events.

Keywords: Adverse events; Charlson comorbidity index; age adjusted Charlson comorbidity index; complications; pelvic; surgeries.

PubMed Disclaimer

Conflict of interest statement

There are no conflicts of interest.

Similar articles

Cited by

References

    1. Yeole BB, Kurkure AP, Koyande SS. Geriatric cancers in India: An epidemiological and demographic overview. Asian Pac J Cancer Prev. 2008;9:271–4. - PubMed
    1. Read WL, Tierney RM, Page NC, Costas I, Govindan R, Spitznagel EL, et al. Differential prognostic impact of comorbidity. J Clin Oncol. 2004;22:3099–103. - PubMed
    1. Patil VM, Chakraborty S, Dessai S, Kumar SS, Ratheesan K, Bindu T, et al. Patterns of care in geriatric cancer patients – An audit from a rural based hospital cancer registry in Kerala. Indian J Cancer. 2015;52:157–61. - PubMed
    1. Edwards BK, Noone AM, Mariotto AB, Simard EP, Boscoe FP, Henley SJ, et al. Annual report to the nation on the status of cancer, 1975-2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120:1290–314. - PMC - PubMed
    1. Jiao YS, Gong TT, Wang YL, Wu QJ. Comorbidity and survival among women with ovarian cancer: Evidence from prospective studies. Sci Rep. 2015;5:11720. - PMC - PubMed