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Can patient satisfaction with quality of life predict survival in advanced colorectal cancer?

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Abstract

Goals of work

The goal of this study was to evaluate the association between patient satisfaction with quality of life (QoL) and survival in colorectal cancer patients undergoing care in a community hospital comprehensive cancer center.

Materials and methods

A consecutive case series of 177 cases of histologically confirmed colorectal cancer treated at Cancer Treatment Centers of America® at Midwestern Regional Medical Center between April 2001 and November 2004. The quality of life index (QLI) was utilized to assess patient satisfaction with QoL. QLI measures global QoL and the QoL in four major subscales: health and physical functioning, social and economic, psychological/spiritual, and family. All scores range from 0 to 30 with higher scores indicating a better QoL. Kaplan–Meier method was used to calculate survival. Log-rank test was used to study the equality of survival distributions. Multivariate Cox regression analyses were then performed to evaluate the joint prognostic significance of those QoL and clinical factors that were shown to be prognostic in univariate analyses.

Results

Of the 177 patients, 46 were newly diagnosed and 131 have treatment history. The median age was 53 years (range 25–85 years). Eight patients had stage I disease, 16 had stage II, 51 had stage III, and 77 had stage IV. Health and physical subscale was significantly associated with survival (p=0.0003), with the median survival for low scores being 8.3 and 20.6 months for high scores. Health and physical subscale was found to be predictive of survival independent of the effects of tumor stage at diagnosis and treatment history.

Conclusions

We found that baseline patient satisfaction with QoL, as measured by the QLI, provides useful prognostic information in patients with colorectal cancer independent of tumor stage at diagnosis and treatment history. While these findings require further investigation in large patient cohorts, they may have important implications for patient stratification in clinical trials and aid in clinical decision-making.

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Acknowledgements

Dr. Gupta and Dr. Grutsch had full access to all the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. This study was funded by Cancer Treatment Centers of America. Design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript were conducted by the authors of this study who take responsibility for its content. We thank Thom Wodek for his assistance with collection and assembly of data and administrative support for this project. We also thank Norine Oplt, chief of our Cancer Registry, for providing us with reliable and updated survival data.

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Authors and Affiliations

  1. Office of Research, Cancer Treatment Centers of America® (CTCA) Operations Center, Midwestern Regional Medical Center, Zion, IL, 60099, USA

    Christopher G. Lis, Digant Gupta, Joel Granick & James F. Grutsch

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  1. Christopher G. Lis
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  2. Digant Gupta
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  3. Joel Granick
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  4. James F. Grutsch
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Correspondence to Digant Gupta.

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Lis, C.G., Gupta, D., Granick, J. et al. Can patient satisfaction with quality of life predict survival in advanced colorectal cancer?. Support Care Cancer 14, 1104–1110 (2006). https://doi.org/10.1007/s00520-006-0100-3

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  • DOI: https://doi.org/10.1007/s00520-006-0100-3

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