Duke University Medical Center, Department of Ophthalmology, Durham, North Carolina.
Duke University Medical Center, Department of Ophthalmology, Durham, North Carolina; Duke FORGE, Durham, North Carolina.
Ophthalmol Glaucoma. 2020 Nov-Dec;3(6):414-420. doi: 10.1016/j.ogla.2020.06.005. Epub 2020 Jun 14.
The rule of 5 is a simple rule for detecting retinal nerve fiber layer (RNFL) change on spectral-domain OCT (SD-OCT), in which a loss of 5 μm of global RNFL on a follow-up test is considered evidence of significant change when compared with the baseline. The rule is based on short-term test-retest variability of SD-OCT and is often used in clinical practice. The purpose of this study was to compare the rule of 5 with trend-based analysis of global RNFL thickness over time for detecting glaucomatous progression.
Prospective cohort.
A total of 300 eyes of 210 glaucoma subjects followed for an average of 5.4±1.5 years with a median of 11 (interquartile range, 7-14) visits.
Trend-based analysis was performed by ordinary least-squares (OLS) linear regression of global RNFL thickness over time. For estimation of specificity, false-positives were obtained by assessing for progression on series of randomly permutated follow-up visits for each eye, which removes any systematic trend over time. The specificity of trend-based analysis was matched to that of the rule of 5 to allow meaningful comparison of the "hit rate," or the proportion of glaucoma eyes categorized as progressing at each time point, using the original sequence of visits.
Comparison between hit rates of trend-analysis versus rule of 5 at matched specificity.
After 5 years, the simple rule of 5 identified 37.5% of eyes as progressing at a specificity of 81.1%. At the same specificity, the hit rate for trend-based analysis was significantly greater than that of the rule of 5 (62.9% vs. 37.5%; P < 0.001). If the rule of 5 was required to be repeatable on a consecutive test, specificity improved to 93.4%, but hit rate decreased to 21.0%. At this higher specificity, trend-based analysis still had a significantly greater hit rate than the rule of 5 (47.4% vs. 21.0%, respectively; P < 0.001).
Trend-based analysis was superior to the simple rule of 5 for identifying progression in glaucoma eyes and should be preferred as a method for longitudinal assessment of global SD-OCT RNFL change over time.
5 法则是一种用于检测光谱域 OCT(SD-OCT)视网膜神经纤维层(RNFL)变化的简单法则,其中与基线相比,在后续测试中损失 5μm 的整体 RNFL 被认为是明显变化的证据。该法则基于 SD-OCT 的短期测试-再测试变异性,常用于临床实践。本研究旨在比较 5 法则与随时间推移的全球 RNFL 厚度趋势分析在检测青光眼进展方面的效果。
前瞻性队列研究。
共有 210 例青光眼患者的 300 只眼,平均随访 5.4±1.5 年,中位数为 11(四分位间距,7-14)次就诊。
通过对随时间推移的全球 RNFL 厚度进行普通最小二乘法(OLS)线性回归进行趋势分析。为了评估特异性,通过对每只眼的一系列随机排列的随访进行进展评估来获得假阳性,这消除了随时间推移的任何系统趋势。将趋势分析的特异性与 5 法则相匹配,以允许使用原始就诊顺序对每个时间点的青光眼眼进展分类的“命中率”(即进展的青光眼眼的比例)进行有意义的比较。
在匹配特异性的情况下,趋势分析与 5 法则的命中率比较。
5 年后,简单的 5 法则在特异性为 81.1%的情况下识别出 37.5%的眼睛为进展期。在相同的特异性下,趋势分析的命中率明显高于 5 法则(62.9%对 37.5%;P<0.001)。如果 5 法则需要在连续测试中重复,则特异性提高到 93.4%,但命中率下降到 21.0%。在这种更高的特异性下,趋势分析的命中率仍明显高于 5 法则(分别为 47.4%对 21.0%;P<0.001)。
趋势分析在识别青光眼眼中的进展方面优于简单的 5 法则,应作为随时间推移评估全球 SD-OCT RNFL 变化的纵向评估方法。