Incidence of Medical Complexity in Military-Connected Children.

IF 6.2 2区 医学 Q1 PEDIATRICS
JoAnna K Leyenaar, Jackielyn Lanning, Celeste J Romano, David C Goodman, Andrew P Schaefer, Jordan A Taylor, Anna T Bukowinski, Gia R Gumbs, Elizabeth M Perkins, Monica A Lutgendorf, A James O'Malley, Ava Marie S Conlin, Clinton Hall
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引用次数: 0

Abstract

Background and objectives: Children with medical complexity (CMC) are at substantially increased risk for adverse health outcomes and mortality, justifying programs and policies to support their specialized needs. To inform such efforts, this study estimated the cumulative incidence of CMC-defining diagnoses by age 60 months in a cohort of live births among US military families and measured associations between birth outcomes and these diagnoses.

Methods: This retrospective cohort study analyzed Department of Defense Birth and Infant Health Research program data from 2005 to 2020. Health care claims were used to identify CMC born between 2005 and 2015 and diagnosed from birth until age 60 months using the Complex Chronic Condition Classification System and Pediatric Medical Complexity Algorithm. The cumulative incidence of medical complexity was estimated, and Fine-Gray regression models calculated adjusted hazard ratios (aHRs) and 95% CIs for associations between birth outcomes and CMC-defining diagnoses.

Results: Among 975 233 live births, the estimated cumulative incidence of CMC-defining diagnoses by age 60 months was 12.0% (95% CI, 11.9-12.1, n = 108 133), with one-third diagnosed during the neonatal period and almost two-thirds diagnosed during infancy. Risk was highest for children born with vs without congenital anomalies (aHR = 25.2; 95% CI, 24.4-25.9), very preterm vs nonpreterm (aHR = 17.6; 95% CI, 17.0-18.2), and very low birthweight vs normal/high birthweight (aHR = 13.7; 95% CI, 13.3-14.2).

Conclusions: Approximately 1 in 9 military-connected children were diagnosed with complex medical conditions by age 5, with risk highly associated with preterm delivery, congenital anomalies, and low birthweight. These findings can inform clinical counseling and justify resource allocation to support this population.

涉军儿童的医疗复杂性发生率
背景和目的:患有医疗复杂性(CMC)的儿童在不良健康结果和死亡率方面的风险大大增加,证明了支持其特殊需求的方案和政策的合理性。为了了解这些努力,本研究在美国军人家庭的活产队列中估计了60个月时cmc定义诊断的累积发生率,并测量了出生结果与这些诊断之间的关系。方法:本回顾性队列研究分析了2005年至2020年美国国防部出生与婴儿健康研究项目的数据。医疗保健声明用于识别2005年至2015年间出生的CMC,并使用复杂慢性病分类系统和儿科医学复杂性算法从出生到60个月进行诊断。估计医疗复杂性的累积发生率,并使用Fine-Gray回归模型计算出生结局与cmc定义诊断之间的校正风险比(aHRs)和95% ci。结果:在975 233例活产婴儿中,60月龄时cmc定义诊断的估计累积发生率为12.0% (95% CI, 11.9-12.1, n = 108 133),其中三分之一在新生儿期诊断,近三分之二在婴儿期诊断。有先天性畸形与无先天性畸形儿童的风险最高(aHR = 25.2;95% CI, 24.4-25.9),非常早产vs非早产(aHR = 17.6;95% CI, 17.0-18.2),非常低出生体重vs正常/高出生体重(aHR = 13.7;95% ci, 13.3-14.2)。结论:大约每9名与军队有关的儿童中就有1名在5岁前被诊断出患有复杂的疾病,其风险与早产、先天性异常和低出生体重高度相关。这些发现可以告知临床咨询和合理的资源分配,以支持这一人群。
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来源期刊
Pediatrics
Pediatrics 医学-小儿科
CiteScore
12.80
自引率
5.00%
发文量
791
审稿时长
2-3 weeks
期刊介绍: The Pediatrics® journal is the official flagship journal of the American Academy of Pediatrics (AAP). It is widely cited in the field of pediatric medicine and is recognized as the leading journal in the field. The journal publishes original research and evidence-based articles, which provide authoritative information to help readers stay up-to-date with the latest developments in pediatric medicine. The content is peer-reviewed and undergoes rigorous evaluation to ensure its quality and reliability. Pediatrics also serves as a valuable resource for conducting new research studies and supporting education and training activities in the field of pediatrics. It aims to enhance the quality of pediatric outpatient and inpatient care by disseminating valuable knowledge and insights. As of 2023, Pediatrics has an impressive Journal Impact Factor (IF) Score of 8.0. The IF is a measure of a journal's influence and importance in the scientific community, with higher scores indicating a greater impact. This score reflects the significance and reach of the research published in Pediatrics, further establishing its prominence in the field of pediatric medicine.
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