Universite Paris 12, LIC EA4393 (Laboratoire d'Investigation Clinique), Créteil, France.
J Invest Dermatol. 2010 Sep;130(9):2173-8. doi: 10.1038/jid.2010.100. Epub 2010 Apr 29.
NF-1 is associated with a 15-year decrease in life expectancy. Internal neurofibromas are associated with increased morbidity and mortality through malignant transformation and compression of neighboring organs. Our purpose was to develop and to validate a clinical score for predicting internal neurofibromas in adults. The development sample comprised 208 patients and the validation sample 191 patients. The score was developed using logistic regression. Discrimination and calibration of the model were evaluated. Four variables were independently associated with internal neurofibromas: at least two subcutaneous neurofibromas (odds ratio (OR)=4.7, [2.1-10.5]), age < or =30 years (OR=3.1, [1.4-6.8]), absence of cutaneous neurofibromas (OR=2.6, [0.9-7.5]), and fewer than six café-au-lait spots (OR=2.0 [0.9-4.6]). The score computed by linear combination of the rounded coefficients of these four variables ranged from 0 to 40 (mean, 12.8+/-10.8). The probability of internal neurofibromas was computed as exp (-2.93+0.11Score)/exp (1+(-2.93+0.11Score)). Probabilities agreed well with the observed frequencies indicating good calibration, and discrimination was adequate (AUC-ROC, 0.75) in both data sets. The presence of internal neurofibromas can be accurately predicted using a simple clinical score. Further work will establish the score threshold that identifies patients at high risk for complications.
NF-1 与预期寿命减少 15 年相关。内部神经纤维瘤通过恶性转化和邻近器官的压迫而与发病率和死亡率增加相关。我们的目的是开发和验证一种用于预测成人内部神经纤维瘤的临床评分。发展样本包括 208 名患者,验证样本包括 191 名患者。该评分使用逻辑回归开发。评估了模型的区分度和校准度。四个变量与内部神经纤维瘤独立相关:至少两个皮下神经纤维瘤(优势比(OR)=4.7,[2.1-10.5])、年龄≤30 岁(OR=3.1,[1.4-6.8])、无皮肤神经纤维瘤(OR=2.6,[0.9-7.5])和少于六个咖啡牛奶斑(OR=2.0 [0.9-4.6])。通过这四个变量的四舍五入系数的线性组合计算得出的分数范围为 0 到 40(平均值 12.8+/-10.8)。内部神经纤维瘤的概率计算为 exp(-2.93+0.11Score)/exp(1+(-2.93+0.11Score))。概率与观察到的频率吻合良好,表明校准良好,并且在两个数据集均具有足够的区分度(AUC-ROC,0.75)。可以使用简单的临床评分准确预测内部神经纤维瘤的存在。进一步的研究将确定确定高并发症风险患者的评分阈值。