头发脱落计数60秒:基于临床的修改计数与基于家庭的计数

Haitham Fathi, mustafa Abdulqader, Omar abdullah
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背景:女性弥漫性脱发是一种常见的皮肤病。因此,需要一种简单、快速和定量的评估来帮助诊断。本文提出了一种新的、简单的、快速的评估脱发的方法——基于临床的60秒掉发计数法。目的:评估新的基于临床的改良60秒掉发计数(CBMHFC 60- s)和传统的基于家庭的60秒掉发计数(HBHFC 60- s)在确定弥漫性脱发女性掉发时的偏倚和一致性限制。材料和方法:从伊拉克摩苏尔Al-Salam教学医院招募75名弥漫性脱发妇女,采用两种仪器,新的单读数(CBMHFC 60-S)和传统的三读数(HBHFC 60-S)评估脱发数量。采用效度检验的多阶段统计分析来评价CBMHFC 60-S与HBHFC 60-S的性能。其中包括对两种方法之间差异的估计;相关性与预测;最后使用Bland Altman blot估计准确性(偏差量和一致限度)。p值< 0.05为差异有统计学意义。结果:CBMHFC 60-S与HBFHFC 60-S的平均掉发数差异无统计学意义(p值= 0.06)(15.81±7.16 vs 18.18±8.56)。两个测试之间存在非常显著的线性关系(r = 0.434, p值<0.0001)。回归分析得到如下预测方程[CBMHFC 60-S = 9.21 + 0.36* (HBHFC 60-S)]。Bland-Altman blot结果显示,CBHFC 60-S具有较高的准确性。该计数比HBHFC 60-S计数平均少2.38根。与HBHFC 60-s相比,CBMHFC 60-s的95% CI介于-18.95和14.19之间。结论:新的单读数CBMHFC-60S毛发脱落数估计方法与常规HBHFC-60三次读数平均值相关性强,一致性高(低偏倚、高精度),是一种有效的检验方法。
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Hair Fall Count 60-second: Clinic-Based Modified Count Versus Home-Based Count
Background: Female diffuse alopecia is a common dermatologic problem. Consequently, a simple, quick, and quantitative assessment is required to aid in diagnosis. A clinic-based modified hair fall count in 60 seconds is proposed as a new, simple, and quick method for evaluating hair loss. Objectives: To assess bias and limit of agreement between the new Clinic-based modified hair fall count in 60 seconds (CBMHFC 60-S) and conventional home-based hair fall count in 60 seconds (HBHFC 60-S) determining hair fall in women with diffuse hair loss. Materials and Methods: Seventy-five women with diffuse alopecia recruited from Al-Salam Teaching Hospital, Mosul, Iraq underwent assessment of hair fall count by using two instruments, new single reading (CBMHFC 60-S) and conventional three reading (HBHFC 60-S). A multistage statistical analysis of validity tests was used to assess the performance of CBMHFC 60-S in comparison to HBHFC 60-S. These included the estimation of the difference between both methods; correlation and prediction; and lastly estimating accuracy (amount of bias and limits of agreement) using Bland Altman blot. A P-value < 0.05 was considered a statistically significant difference. Results: A non-statistically significant difference (P-value = 0.06) in average hair fall count was estimated by CBMHFC 60-S and HBFHFC 60-S (15.81 ± 7.16 vs 18.18 ± 8.56). A very highly significant linear relationship between both tests (r = 0.434, P-value <0.0001). A regression analysis yields the following prediction equation [CBMHFC 60-S = 9.21 + 0.36* (HBHFC 60-S)]. Bland-Altman blot revealed a high accuracy of the CBHFC 60-S. The count was less than HBHFC 60-S count by an average of 2.38 hairs. The 95% CI of CBMHFC 60-s in comparison to HBHFC 60-S will fall between -18.95 and 14.19. Conclusion: The new single reading CBMHFC-60S estimation of hair fall count was a valid test reflected by its strong association with an average of three readings of conventional HBHFC-60 and high concordance (low bias and high precision).
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