狼疮性肾炎肾活检特征与早产。

Frontiers in nephrology Pub Date : 2024-07-30 eCollection Date: 2024-01-01 DOI:10.3389/fneph.2024.1402597
Monica L Reynolds, Keisha L Gibson, Tracy A Manuck, Caroline J Poulton, Lauren Blazek, Alison M Stuebe, Susan L Hogan, Ronald J Falk, Vimal K Derebail
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摘要

狼疮性肾炎(LN)患者在妊娠期对母体和胎儿造成不良后果的风险很高。在妊娠期外,肾活检中的增殖性病变与疾病进展有关,但这些病变与妊娠期风险的增加并不一致。这项回顾性单中心研究探讨了组织学检查结果、从肾活检到妊娠的时间以及妊娠头三个月的临床特征与 LN 患者早产的关系。在 31 名产妇的 35 次分娩中,平均胎龄为 33.8 周。妊娠头三个月尿蛋白与肌酐比值大于 0.5 g/g 与早产有关(81% 对 36%,P = 0.04)。活组织检查发现肾小球新月体的早产率更高(新月体>20%的早产率为89%,而新月体<20%的早产率为50%,P = 0.06)。肾活检后 2 年内怀孕比怀孕前 2 年以上进行活检更容易导致早产(82% 对 23%,P = 0.01)。诊断性活组织检查的时间可能是疾病活动性的代用指标,活组织检查延迟 2 年可能有足够的时间实现疾病缓解。总之,这些数据有助于计划生育讨论,并促进患者及其医疗服务提供者进行孕前疾病优化。
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Lupus nephritis kidney biopsy characteristics and preterm birth.

Individuals with lupus nephritis (LN) are at high risk of adverse maternal and fetal outcomes in pregnancy. Outside of pregnancy, proliferative lesions on kidney biopsies are associated with disease progression, but these have not been consistently associated with increased risk in pregnancy. This retrospective, single-center study examines how histologic findings, the timing from kidney biopsy to pregnancy, and the clinical features in the first trimester are associated with preterm birth among individuals with LN. Among 35 deliveries in 31 women, the mean gestational age at delivery was 33.8 weeks. The presence of a urine protein-to-creatinine ratio >0.5 g/g in the first trimester was associated with preterm delivery (81% vs. 36%, p = 0.04). Preterm birth was more common in individuals with glomerular crescents on biopsy (89% in those with >20% crescents vs. 50% in those with <20%, p = 0.06). A pregnancy occurring within 2 years after a kidney biopsy was more likely to result in preterm birth than if the biopsy was performed more than 2 years prior to conception (82% vs. 23%, p = 0.01). The time from diagnostic biopsy may be a surrogate for disease activity, and a 2-year delay from biopsy might allow sufficient time to achieve disease remission. Overall, these data could aid family planning discussions and promote preconception disease optimization for patients and their providers.

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