Gilbert Israeli Neurofibromatosis Center, Tel-Aviv Medical Center, Tel-Aviv, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
J Am Acad Dermatol. 2017 Jun;76(6):1077-1083.e3. doi: 10.1016/j.jaad.2017.02.027. Epub 2017 Mar 18.
Although isolated cafe-au-lait macules (CALMs) are a common skin finding, they are an early feature of neurofibromatosis type 1 (NF1).
We sought to develop an algorithm determining the risk of children with CALMs to have constitutional NF1.
We conducted a retrospective study of patients with isolated CALMs. Diagnosis of NF1 was based on detecting NF1 mutation in blood or fulfilling clinical criteria.
In all, 170 of 419 (41%) and 21 of 86 (24%) children with isolated CALMs who underwent molecular testing and clinical follow-up, respectively, were given a diagnosis of NF1. Presence of fewer than 6 CALMs at presentation or atypical CALMs was associated with not having NF1 (P < .001). An algorithm based on age, CALMs number, and presence of atypical macules predicted NF1 in both cohorts. According to the algorithm, children older than 29 months with at least 1 atypical CALM or less than 6 CALMs have a 0.9% (95% confidence interval 0%-2.6%) risk for constitutional NF1 whereas children younger than 29 months with 6 or more CALMs have a high risk (80.4%, 95% confidence interval 74.6%-86.2%).
The study was designed to detect constitutional NF1 and not NF1 in mosaic form.
A simple algorithm enables categorization of children with isolated CALMs as being at low or high risk for having NF1.
孤立性咖啡牛奶斑(CALM)虽是一种常见的皮肤表现,但也是神经纤维瘤病 1 型(NF1)的早期特征。
我们旨在开发一种算法,以确定具有 CALM 的儿童患 NF1 的风险。
我们对孤立性 CALM 的患者进行了回顾性研究。NF1 的诊断基于血液中 NF1 突变的检测或满足临床标准。
在接受分子检测和临床随访的 419 例和 86 例孤立性 CALM 患儿中,分别有 170 例(41%)和 21 例(24%)被诊断为 NF1。初诊时存在少于 6 个 CALM 或不典型 CALM 与无 NF1 相关(P<.001)。基于年龄、CALM 数量和不典型斑的存在的算法预测了两个队列中的 NF1。根据该算法,年龄大于 29 个月、至少存在 1 个不典型 CALM 或 CALM 少于 6 个的儿童,其患 NF1 的风险为 0.9%(95%置信区间 0%-2.6%),而年龄小于 29 个月且 CALM 多于 6 个的儿童具有高风险(80.4%,95%置信区间 74.6%-86.2%)。
该研究旨在检测 NF1 的构成性突变,而不是 NF1 的嵌合体形式。
一个简单的算法可以将具有孤立性 CALM 的儿童归类为低风险或高风险患有 NF1。