Bonilla-Velez Juliana, Heike Carrie L, Kessler Larry G, Wang Xing, Wenger Tara L, Ramsey Bonnie W, Perkins Jonathan A
Division of Pediatric Otolaryngology-Head and Neck Surgery, Seattle Children's Hospital, Seattle, Washington.
Department of Otolaryngology-Head and Neck Surgery, University of Washington School of Medicine, Seattle.
JAMA Otolaryngol Head Neck Surg. 2025 May 1;151(5):503-512. doi: 10.1001/jamaoto.2025.0104.
Head and neck lymphatic malformations (HNLMs) demonstrate considerable variability in their natural history. While some malformations cause chronic severe functional impairment, others are asymptomatic and spontaneously regress. Understanding the frequency and features associated with regression will aid clinicians and families in making informed treatment choices and avoid unnecessary risks of intervention for a subset of patients.
To assess the incidence, timing, and factors associated with spontaneous regression of HNLMs.
DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study across a single regional pediatric tertiary care academic center included patients aged 0 to 21 years with HNLM who were evaluated in the vascular anomalies clinic and prospectively enrolled in an institutional quality improvement database between 2003 and 2022. Observation was offered to patients without symptoms or functional compromise. Treatment decisions were made during routine clinical care.
Age of HNLM onset and HNLM location, distribution, cystic structure, grade, and de Serres staging.
The incidence of complete spontaneous regression was estimated. The strength of the association between exposures and regression was assessed using risk ratios, Cliff Δ, and Cramer V. A Kaplan-Meier curve was used to estimate the probability of spontaneous regression over time. The association of the exposures on the likelihood of spontaneous regression were assessed using 2-sided log-rank tests and Cox proportional hazards models.
Of 298 patients with HNLMs, 173 (58.1%) were male, and most HNLMs were diagnosed prenatally or at birth (137 patients [46.0%]). Among HNLMs, 189 (63.4%) had a focal distribution, 228 (76.5%) were de Serres stage I or II, and 128 (43.0%) were macrocystic. Complete spontaneous regression occurred in 27 patients (9.1%) at a median (IQR) time of 12.0 (6.7-27.4) months from onset. Factors associated with a large difference in the rate of complete spontaneous regression included macrocystic structure, neck location, focal distribution, and grade 1 or de Serres I stage. HNLMs of the upper face or midface, with mixed or microcystic composition, or with extensive unilateral or bilateral involvement did not regress.
In this cohort study, HNLMs that were macrocystic, of limited extent, and/or in the neck were more likely to completely spontaneously regress. A 1-year observation period for asymptomatic HNLM, particularly when favorable features are present, should be considered, as nonintervention may be curative. Future studies will examine interaction among these factors. This work contributes to a deeper understanding of HNLM natural history that can directly inform clinical decision-making, decrease treatment risk, and optimize patient outcomes.
头颈部淋巴管畸形(HNLMs)在其自然病程中表现出相当大的变异性。虽然一些畸形会导致慢性严重功能障碍,但其他畸形则无症状且会自发消退。了解与消退相关的频率和特征将有助于临床医生和家庭做出明智的治疗选择,并避免对一部分患者进行不必要的干预风险。
评估HNLMs自发消退的发生率、时间及相关因素。
设计、设置和参与者:这项针对单个地区儿科三级医疗学术中心的回顾性队列研究纳入了0至21岁患有HNLMs的患者,这些患者在血管异常诊所接受评估,并于2003年至2022年期间前瞻性纳入机构质量改进数据库。对无症状或无功能损害的患者进行观察。治疗决策在常规临床护理期间做出。
HNLMs的发病年龄、位置、分布、囊性结构、分级和de Serres分期。
估计完全自发消退的发生率。使用风险比、Cliff Δ和Cramer V评估暴露因素与消退之间的关联强度。采用Kaplan-Meier曲线估计随时间自发消退的概率。使用双侧对数秩检验和Cox比例风险模型评估暴露因素对自发消退可能性的关联。
在298例HNLMs患者中,173例(58.¹%)为男性,大多数HNLMs在产前或出生时被诊断(137例患者[46.0%])。在HNLMs中,189例(63.4%)呈局灶性分布,228例(76.5%)为de Serres I期或II期,128例(43.0%)为大囊型。27例患者(9.1%)出现完全自发消退,从发病开始的中位(IQR)时间为12.0(6.7 - 27.4)个月。与完全自发消退率差异较大相关的因素包括大囊型结构、颈部位置、局灶性分布以及1级或de Serres I期。上脸或中脸的HNLMs,具有混合或微囊型成分,或有广泛的单侧或双侧受累则不会消退。
在这项队列研究中,大囊型、范围有限和/或位于颈部的HNLMs更有可能完全自发消退。对于无症状的HNLMs应考虑进行为期1年的观察期,特别是当存在有利特征时,因为不干预可能治愈。未来的研究将考察这些因素之间的相互作用。这项工作有助于更深入地了解HNLMs的自然病程,可直接为临床决策提供信息,降低治疗风险,并优化患者结局。