Socioeconomic Status Is an Independent Prognostic Factor for Overall Survival in Patients With Multiple Myeloma: Real-World Data From a Cohort of 223 Patients

Clin Lymphoma Myeloma Leuk. 2020 Oct;20(10):704-711. doi: 10.1016/j.clml.2020.05.013. Epub 2020 May 26.

Abstract

Introduction: Socioeconomic status (SES) has been shown to be a prognostic factor for overall survival in a variety of hematologic malignancies, especially for patients who require continuous care such as those with multiple myeloma (MM).

Patients and methods: We retrospectively collected data from 223 patients with symptomatic MM diagnosed and treated in our department from January 2005 to December 2019. The modified Kuppuswamy scale, slightly modified, was used for the SES assessment. The Kaplan-Meier estimator of survival and Cox regression analysis were used.

Results: In our cohort of 223 patients with MM, low SES was an independent poor prognostic factor for overall survival (OS), in addition to higher International Staging System stage and high-risk cytogenetics (hazard ratio for low SES on Cox regression analysis, 2.092; 95% confidence interval [CI], 1.36-3.2; log-rank P = .000). Patients with low SES had inferior survival compared with the whole patient cohort (median OS: low SES, 28 months; 95% CI, 18-37.9; high SES, 68 months; 95% CI, 55.6-80.4; log-rank P = .000). The low SES effect on OS was more evident for the elderly patients who were not transplant eligible and in those with a diagnosis of MM International Staging System stage I. The effect of low SES on OS was attenuated by time, and ethnic origin had no effect on OS.

Conclusions: The results of the present study have shown that low SES is an independent poor prognostic factor for survival of patients with MM.

Keywords: High Risk cytogenetics; ISS; Multiple myeloma; Overall survival; Socioeconomic status.

MeSH terms

  • Child
  • Child, Preschool
  • Cohort Studies
  • Cytogenetics / methods*
  • Female
  • Humans
  • Male
  • Multiple Myeloma / mortality*
  • Prognosis
  • Retrospective Studies
  • Social Class
  • Survival Analysis