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南非狼疮性肾炎的临床病理分析:251 例患者研究。

Clinicopathological insights into lupus nephritis in South Africans: a study of 251 patients.

机构信息

Division of Nephrology and Hypertension, Groote Schuur Hospital and University of Cape Town, South Africa.

出版信息

Lupus. 2012 Aug;21(9):1017-24. doi: 10.1177/0961203312441981. Epub 2012 Mar 26.

Abstract

There are few published studies on biopsy proven lupus nephritis (LN) from sub-Sahara Africa, mainly due to lack of expertise and pathology back-up for performing and interpreting renal biopsies in many centres. The purpose of this study was to document factors associated with biopsy proven LN and to determine clinical and laboratory models that best predict proliferative LN in South Africans. Of the 251 patients studied, 84.1% were females and 79.3% were of mixed ancestry. There were more observed cases of proliferative LN (63%) than non-proliferative LN. Factors associated with proliferative LN were male gender (p = 0.049), haematuria on dipstix (p < 0.0001), proteinuria on dipstix (p = 0.042), low serum albumin (p = 0.032), low complement C3 (p < 0.0001), low complement C4 (p = 0.009) and positive double-stranded DNA (p = 0.039). Using four models designed from various combinations of the factors associated with proliferative LN, the specificity and positive predictive values were highest for the model that combined gender (male), presence of dipstix haematuria and proteinuria, hypoalbuminaemia, low C3 and low C4 and positive double-stranded DNA (100% respectively). Further study is recommended to identify the value of using these demographic and laboratory parameters in identifying patients with proliferative LN in resource limited centres where the performance of a biopsy is not possible.

摘要

撒哈拉以南非洲地区鲜有经活检证实的狼疮性肾炎(LN)的相关研究,这主要是因为在许多中心缺乏专业知识和病理支持来进行和解读肾脏活检。本研究旨在记录与经活检证实的 LN 相关的因素,并确定能最好预测南非人增生性 LN 的临床和实验室模型。在研究的 251 名患者中,84.1%为女性,79.3%为混血。观察到的增生性 LN 病例(63%)多于非增生性 LN 病例。与增生性 LN 相关的因素有男性(p=0.049)、尿试纸血尿(p<0.0001)、蛋白尿(p=0.042)、低血清白蛋白(p=0.032)、低补体 C3(p<0.0001)、低补体 C4(p=0.009)和双链 DNA 阳性(p=0.039)。根据与增生性 LN 相关的各种因素设计了四个模型,在联合使用性别(男性)、尿试纸血尿和蛋白尿、低白蛋白血症、低 C3 和低 C4 以及双链 DNA 阳性的模型中,特异性和阳性预测值最高(分别为 100%)。建议进一步研究以确定在无法进行活检的资源有限的中心,使用这些人口统计学和实验室参数来识别增生性 LN 患者的价值。

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