Survival analysis of high-grade glioma patients and associated factors

Lina Marcela Barrera, Leon Darío Ortiz, Hugo de Jesús Grisales, Mauricio Camargo, .

Keywords: glioma, risk factors, genetics, prognosis, survival analysis, Kaplan-Meier Estimate

Abstract

Introduction. High-grade gliomas are the most common primary brain tumors in adults, and they usually have a quick fatal course. Average survival is 18 months, mainly, as a result of tumor resistance to STUPP protocol.
Objective. To determine high-grade glioma patient survival and the effect of persuasion variables on survival.
Materials and methods. This research conducted a longitudinal descriptive study in which 80 untreated recently diagnosed high-grade glioma patients participated. A survey was conducted regarding their exposure to some risk factors, degree of genetic instability in peripheral blood using micronucleus quantification on binuclear lymphocytes (MN-BN), micronuclei in reticulocytes (MN-RET) and sister-chromatid exchanges in lymphocytes (SCE). In the statistical analysis, this study constructed life tables, used Kaplan-Meier, and the log-rank test, and in the multivariate analysis, a Cox proportional hazards model was constructed.
Results. 80 patients’ clinical, demographic and lifestyle characteristics were analyzed, as well as their survival rates and the average survival time is 784 days (I.Q.= 928). Factors like age, exposure at work to polycyclic hydrocarbons and the number of SCE in the first sampling was significantly survival-related in the multivariate analysis.
Conclusion. In this research, the study determined that only three of the analyzed variables have an important effect on survival time when it comes to high-grade glioma patients.

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  • Lina Marcela Barrera Grupo de Investigación en Ciencias Médicas, Escuela Ciencias de la Vida, Programa de Medicina, Universidad EIA, Medellín, Colom
  • Leon Darío Ortiz Instituto de Cancerología, Clínica Las Américas, Medellín, Colombia
  • Hugo de Jesús Grisales Grupo de Investigación Demografía y Salud, Facultad Nacional de Salud Pública, Universidad de Antioquia, Medellín, Colombia
  • Mauricio Camargo Dirección Científica, GenéticaLab, Medellín, Colombia
How to Cite
1.
Barrera LM, Ortiz LD, Grisales H de J, Camargo M. Survival analysis of high-grade glioma patients and associated factors. biomedica [Internet]. 2024 Mar. 18 [cited 2024 May 20];44(2). Available from: https://revistabiomedica.org/index.php/biomedica/article/view/6742

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Published
2024-03-18

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