Treatment-Related Late Adverse Events in Childhood Cancer Survivors of Mexico: A Cross-Sectional Study

José Fernando Pérez-Franco,Gabriela Hernández-Pliego, Jocelyn Jacobo-Mendoza, Vanessa Karina Martínez-Lara, Luis Enrique Juárez-Villegas,Patricia Clark,Jessica Liliana Vargas-Neri

Pharmacoepidemiology(2023)

引用 0|浏览1
暂无评分
摘要
Late adverse events (LAEs) are an important cause of illness and disability in childhood cancer survivors (CCSs) and increase the risk of mortality. The aim of this cross-sectional study was to describe the frequency and severity of treatment-related LAEs in Mexican CCSs. The study period was between September 2018 and April 2019. We tested a sample of 82 CCSs at the Hospital Infantil de México Federico Gómez. We considered an LAE to be any medical effect related to treatment after ending cancer therapy. All LAEs were classified according to severity (using the grades of Common Terminology Criteria for Adverse Events v.5.0), diagnosis and time of occurrence after treatment. The treatment-related LAE frequency was 11.0% (95% CI; 4.2–17.8%). A total of 11 LAEs were identified in nine patients. Slightly over half of the patients were male (54.9%). The most frequent diagnosis was acute lymphoblastic leukemia (45.1%). The body systems involved in LAEs were the endocrine (55.6%), neurological (22.2%), auditory (11.1%) and renal (11.1%) systems. Obesity was the most frequent LAE (45.4%). Most LAEs were classified as grade 1 and 2 (60%). The median follow-up was 6.5 years. The odds ratio was used as a measure of association to identify characteristics associated with the LAEs. We identified that the age at diagnosis (OR = 0.71, 95% CI, 0.51–0.99; p = 0.046) and chemotherapy-only group (OR = 0.03, 95% CI, 0.00–0.86, p = 0.040) were associated with LAEs. This is the first study that describes the frequency and severity of LAEs in Mexican childhood cancer survivors.
更多
查看译文
关键词
childhood cancer survivors,treatment-related adverse events,adverse events,cross-sectional
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要