Al-Nassan Anwar, Almanaseer Tariq, Malkawi Saja, Al-Bitar Farah, Jibrin Dayana, El-Qurnah Omaima, Bataineh Shaima, Kamal Maen, Sweidan Salsabeel, Abu-Shanab Mayada, Sultan Iyad
Department of Pediatrics, King Hussein Cancer Center.
Department of Pediatrics, University of Jordan, Amman, Jordan.
J Pediatr Hematol Oncol. 2024 Oct 1;46(7):e508-e514. doi: 10.1097/MPH.0000000000002926. Epub 2024 Aug 12.
This study aimed to evaluate the factors associated with diagnosis delay in children with cancer who are treated at a single institution, which caters to most children with cancer in Jordan.
This was a cross-sectional study with a retrospective chart review of selected patients who were diagnosed from August 2018 to December 2021. Data on patient and household characteristics, medical history, and diagnostic delay were collected through structured interviews. Univariable and multivariable linear and logistic regression models were used to identify predictors of delay.
The study included a cohort of 202 patient-caregiver pairs, with a median total delay from symptom onset to treatment initiation of 47 days (interquartile range [IQR], 21 to 114 d). Notably, 86% of families pursued medical consultation within a month of recognizing symptoms. A regression model revealed CNS tumors as a significant independent predictor of increased total delay ( P =0.002), with affected patients experiencing a median delay markedly longer than those with other cancer types. In addition, older patient age predicted longer total delay ( P =0.025). Symptomatology played a pivotal role in the timeliness of the diagnosis; specifically, visible symptoms such as pallor, bruises, and jaundice were associated with more expedient medical attention, with significantly shorter delays ( P values: 0.011, <0.001, and 0.045, respectively). Furthermore, our investigation disclosed a notable variance in symptom prevalence across different cancer categories, elucidating the complex relationship between clinical presentation and diagnostic timelines.
This study highlights the importance of the diagnosis of CNS tumors, patient age, and symptoms in predicting diagnosis delay in pediatric oncology patients. These findings can inform interventions to reduce delays in diagnosis and improve outcomes for these patients. These insights are crucial for developing targeted educational programs aimed at healthcare professionals and families to accelerate the recognition and referral of pediatric cancer cases.
本研究旨在评估在一家医疗机构接受治疗的癌症患儿的诊断延迟相关因素,该机构为约旦大多数癌症患儿提供服务。
这是一项横断面研究,通过回顾性病历分析,选择了 2018 年 8 月至 2021 年 12 月期间确诊的患者。通过结构化访谈收集了患者和家庭特征、病史以及诊断延迟的数据。采用单变量和多变量线性和逻辑回归模型来确定延迟的预测因素。
该研究纳入了 202 对患儿及其照护者,从症状出现到开始治疗的总延迟中位数为 47 天(四分位距[IQR],21-114 天)。值得注意的是,86%的家庭在出现症状后一个月内寻求了医疗咨询。回归模型显示中枢神经系统肿瘤是总延迟增加的显著独立预测因素(P=0.002),受影响的患者的中位延迟明显长于其他癌症类型的患者。此外,患者年龄较大预测总延迟时间较长(P=0.025)。症状在诊断的及时性中起着关键作用;具体而言,苍白、瘀伤和黄疸等可见症状与更及时的医疗关注相关,延迟时间明显更短(P 值分别为 0.011、<0.001 和 0.045)。此外,我们的研究揭示了不同癌症类别之间症状发生率的显著差异,阐明了临床表现和诊断时间线之间的复杂关系。
本研究强调了中枢神经系统肿瘤、患者年龄和症状在预测儿科肿瘤患者诊断延迟方面的重要性。这些发现可以为减少诊断延迟和改善这些患者的预后提供干预措施。这些见解对于制定针对医疗保健专业人员和家庭的目标明确的教育计划至关重要,旨在加速儿科癌症病例的识别和转诊。