Demographic and social determinants of the interval from symptom onset to diagnosis of pediatric brain tumors: a study of the Connecticut Tumor Registry.

IF 2.1 3区 医学 Q3 CLINICAL NEUROLOGY
William A Lambert, Marcus Alexander, Jackson Ayers, Amirul Anuar, Katrina R Swett, Lou Gonsalves, Evan Cantor, Jonathan E Martin, Markus J Bookland, David S Hersh
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引用次数: 0

Abstract

Objective: Pediatric patients frequently experience long intervals between the initial onset of symptoms and the diagnosis of a brain tumor. Understanding the determinants of the prediagnostic symptomatic interval (PSI) has the potential to facilitate earlier initiation of treatment. Here, the authors studied the impact of demographic factors and social determinants of health on the PSI among pediatric brain tumor patients.

Methods: All pediatric patients with brain tumors included in the Connecticut Department of Public Health's Tumor Registry from 2004 to 2018 were reviewed. Demographic, clinical, and outcomes data were collected. The primary outcome was the log transformation of the PSI (ln(PSI)), which was modeled as a continuous variable. Statistical analyses included multiple linear regression models with stepwise variable selection. The Akaike Information Criterion (AIC) was used to indicate model fit, and bootstrapping was performed to validate the findings.

Results: Overall, 153 patients met the inclusion criteria with a median (IQR) PSI of 30 (14-60) days. Of the tumors, 91 (59.5%) were classified as malignant and 62 (40.5%) as benign. The multivariable linear regression analysis of ln(PSI) demonstrated that longer PSI was positively associated with older age (β = 0.06, p = 0.004) and was negatively associated with Black or African American race (β = -0.64, p = 0.023), the presence of hydrocephalus on presentation (β = -0.79, p = 0.011), fatigue (β = -0.61, p = 0.047) or hemiparesis (β = -0.82, p = 0.041) as presenting symptoms, and malignant tumor behavior (β = -0.45, p = 0.042). The multiple linear regression model was statistically significant overall (F(7,145) = 5.42, p < 0.001), explaining approximately 21% of the variance ln(PSI), and bootstrapping with 1000 resamples confirmed the reliability of the regression analysis.

Conclusions: Demographic factors, patterns of presentation, and tumor biology play a role in the interval between symptom onset and the diagnosis of pediatric brain tumors, with potential implications for quality of care and survival. Although this study did not identify a significant association between nondemographic social determinants of health and the PSI, additional studies are needed with more granular measures of economic stability, healthcare access and quality, education access and quality, neighborhood and built environment, and social and community context. Future efforts should target patient populations at increased risk of a prolonged PSI.

儿童脑肿瘤从症状发作到诊断的时间间隔的人口统计学和社会决定因素:康涅狄格肿瘤登记的研究。
目的:儿科患者经常经历较长的时间间隔之间的初始症状发作和脑肿瘤的诊断。了解诊断前症状间隔(PSI)的决定因素有可能促进早期开始治疗。在这里,作者研究了人口因素和健康的社会决定因素对儿童脑肿瘤患者PSI的影响。方法:回顾2004年至2018年纳入康涅狄格州公共卫生部肿瘤登记处的所有儿科脑肿瘤患者。收集了人口学、临床和结局数据。主要结果是PSI (ln(PSI))的对数变换,它被建模为连续变量。统计分析包括多元线性回归模型和逐步变量选择。采用赤池信息准则(Akaike Information Criterion, AIC)评价模型拟合,并进行自举验证。结果:总体而言,153例患者符合纳入标准,中位(IQR) PSI为30(14-60)天。其中91例(59.5%)为恶性,62例(40.5%)为良性。ln(PSI)的多变量线性回归分析显示,PSI较长与年龄较大呈正相关(β = 0.06, p = 0.004),与黑人或非裔美国人种族(β = -0.64, p = 0.023)、出现脑积水(β = -0.79, p = 0.011)、疲劳(β = -0.61, p = 0.047)或偏瘫(β = -0.82, p = 0.041)、恶性肿瘤行为(β = -0.45, p = 0.042)呈负相关。多元线性回归模型总体上具有统计学显著性(F(7145) = 5.42, p < 0.001),解释了约21%的方差ln(PSI),并且1000个样本的bootstrapping证实了回归分析的可靠性。结论:人口统计学因素、表现模式和肿瘤生物学在儿童脑肿瘤症状发作和诊断之间的时间间隔中发挥作用,对护理质量和生存具有潜在影响。虽然本研究没有发现非人口统计学的健康社会决定因素与PSI之间的显著关联,但还需要进一步的研究,对经济稳定性、医疗保健获取和质量、教育获取和质量、邻里和建成环境以及社会和社区背景进行更细致的测量。未来的努力应针对长期PSI风险增加的患者群体。
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来源期刊
Journal of neurosurgery. Pediatrics
Journal of neurosurgery. Pediatrics 医学-临床神经学
CiteScore
3.40
自引率
10.50%
发文量
307
审稿时长
2 months
期刊介绍: Information not localiced
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