Lina Marcela Barrera, Leon Darío Ortiz, Hugo de Jesús Grisales, Mauricio Camargo
{"title":"Survival analysis and associated factors of highgrade glioma patients","authors":"Lina Marcela Barrera, Leon Darío Ortiz, Hugo de Jesús Grisales, Mauricio Camargo","doi":"10.7705/biomedica.6742","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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, because of tumor resistance to Stupp protocol.</p><p><strong>Objective: </strong>To determine high-grade glioma patient survival and the effect of persuasion variables on survival.</p><p><strong>Materials and methods: </strong>We 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, micronuclei in reticulocytes and sister-chromatid exchanges in lymphocytes. In the statistical analysis, this study constructed life tables, used the Kaplan-Meier, and the log-rank test, and in the multivariate analysis, a Cox proportional hazards model was constructed.</p><p><strong>Results: </strong>Eighty patients' clinical, demographic and lifestyle characteristics were analyzed, as well as their survival rates and the average survival time is 784 days (interquartile range: 928). Factors like age, exposure at work to polycyclic hydrocarbons and the number of sister-chromatid exchanges in lymphocytes in the first sampling was significantly survivalrelated in the multivariate analysis.</p><p><strong>Conclusion: </strong>We determined that only three of the analyzed variables have an important effect on survival time when it comes to high-grade glioma patients.</p>","PeriodicalId":101322,"journal":{"name":"Biomedica : revista del Instituto Nacional de Salud","volume":"44 2","pages":"191-206"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11374120/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedica : revista del Instituto Nacional de Salud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7705/biomedica.6742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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, because 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: We 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, micronuclei in reticulocytes and sister-chromatid exchanges in lymphocytes. In the statistical analysis, this study constructed life tables, used the Kaplan-Meier, and the log-rank test, and in the multivariate analysis, a Cox proportional hazards model was constructed.
Results: Eighty patients' clinical, demographic and lifestyle characteristics were analyzed, as well as their survival rates and the average survival time is 784 days (interquartile range: 928). Factors like age, exposure at work to polycyclic hydrocarbons and the number of sister-chromatid exchanges in lymphocytes in the first sampling was significantly survivalrelated in the multivariate analysis.
Conclusion: We determined that only three of the analyzed variables have an important effect on survival time when it comes to high-grade glioma patients.