Koziol J A, Adams H P, Frutos A
Department of Molecular and Experimental Medicine, Scripps Research Institute, La Jolla, California, USA.
J Urol. 1996 Jan;155(1):87-90.
We determined whether the classification of interstitial cystitis cases into ulcer and nonulcer categories from cystoscopic findings could be corroborated with epidemiological data relating to demographics, risk factors, symptoms, pain and psychosocial factors.
We surveyed 565 interstitial cystitis patients (111 with and 454 without ulcer), and from univariate analyses we found 10 noninvasive variables to be significantly associated with the presence of Hunner's ulcers. The 3 multivariate statistical methodologies of discriminant analysis, logistic regression and recursive partitioning were used to classify ulcer versus nonulcer cases from these variables. The retrospective and prospective performances from each methodology were also analyzed.
Retrospectively, resubstitution error rates of all 3 methodologies were small, with overall misclassification rates of 19.1% with linear discriminant, 14.7% with logistic regression and 8.0% with recursive partitioning. Prospectively, the overall misclassification rates increased slightly to 20.0% with linear discriminant, 15.8% with logistic regression, and 15.9% with recursive partitioning.
The classification of interstitial cystitis into distinct categories of Hunner's ulcer (classic interstitial cystitis) and nonulcer based on cystoscopic findings can be corroborated with epidemiological evidence. The 2 categories may represent different manifestations of the underlying disease pathophysiology.
我们确定了根据膀胱镜检查结果将间质性膀胱炎病例分为溃疡型和非溃疡型，是否能与人口统计学、危险因素、症状、疼痛及心理社会因素等流行病学数据相佐证。
我们对565例间质性膀胱炎患者（111例有溃疡，454例无溃疡）进行了调查，通过单因素分析，我们发现10个非侵入性变量与Hunner溃疡的存在显著相关。使用判别分析、逻辑回归和递归划分这3种多变量统计方法，根据这些变量对溃疡型和非溃疡型病例进行分类。还分析了每种方法的回顾性和前瞻性表现。
回顾性分析时，所有3种方法的再代入错误率都较小，线性判别分析的总体错误分类率为19.1%，逻辑回归为14.7%，递归划分为8.0%。前瞻性分析时，线性判别分析的总体错误分类率略有上升至20.0%，逻辑回归为15.8%，递归划分为15.9%。
根据膀胱镜检查结果将间质性膀胱炎分为Hunner溃疡（典型间质性膀胱炎）和非溃疡型这两种不同类型，可得到流行病学证据的佐证。这两类可能代表了潜在疾病病理生理学的不同表现。
