Importance of Standard Treatment in Prognosis of Patients with Ovarian Cancer and Associated Cerebral Infarction

Clin Interv Aging. 2020 Feb 5:15:151-157. doi: 10.2147/CIA.S229236. eCollection 2020.

Abstract

Objective: Data on the treatment of patients with ovarian cancer (OC) and associated cerebral infarction (CI) are extremely limited. The objectives were to investigate the risk factors for prognosis in patients with OC and associated CI.

Methods: We retrospectively reviewed the electronic medical records of patients with OC from January 2013 to November 2018 in Peking Union Medical Hospital.

Results: In total, 2632 inpatients were diagnosed with malignant ovarian cancer in our institution, and 30 patients (1.1%) were diagnosed with OC-associated CI. The median age was 60 years (range, 37-83). The standard treatment, according to National Comprehensive Cancer Network (NCCN) guidelines, was administered to 19 patients. The median follow-up time was 19.5 months (range, 1-59 months). In total, 17 patients experienced tumor progression, and 16 of them died. In univariate analysis, overall survival was significantly associated with the D-dimer level (P=0.017), FIGO stage (P=0.014), complete cytoreduction (P<0.000) and standard treatment (P<0.000). In multivariate analysis, the standard treatment remained an independent protective factor for death (hazard ratio=0.061, 95% confidence interval=0.007-0.537, P=0.012).

Conclusion: Although the prognosis of patients with OC and associated CI was poor, those who underwent the standard treatment still benefited.

Keywords: cerebral infarction; ovarian neoplasms; prognosis; surgery.

MeSH terms

  • Aged
  • Cerebral Infarction / epidemiology*
  • China / epidemiology
  • Correlation of Data
  • Female
  • Humans
  • Middle Aged
  • Mortality
  • Neoplasm Staging
  • Ovarian Neoplasms* / mortality
  • Ovarian Neoplasms* / pathology
  • Ovarian Neoplasms* / therapy
  • Patient Care Management / methods
  • Patient Care Management / standards
  • Prognosis
  • Proportional Hazards Models
  • Protective Factors
  • Retrospective Studies
  • Standard of Care