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Record W2898313047 · doi:10.1016/j.ekir.2018.10.012

Renal Complications in Pregnancy Preceding Glomerulonephropathy Diagnosis

2018· article· en· W2898313047 on OpenAlexaffabout
Andrea L. Oliverio, Jarcy Zee, Laura H. Mariani, Monica L. Reynolds, Michelle M. O’Shaughnessy, Elizabeth Hendren, Nada Alachkar, Emily Herreshoff, Dana V. Rizk, Carla Nester, Julia Steinke, Katherine Twombley, Michelle Hladunewich

Bibliographic record

VenueKidney International Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHealth Sciences Centre
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicinePregnancyObstetricsIntensive care medicine

Abstract

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Primary glomerulonephropathies (GNs) and preeclampsia share a common phenotype of proteinuria, hypertension, and renal dysfunction. Precise mechanisms for these disease manifestations in each setting are not fully elucidated; however, both preeclampsia and active glomerular disease are associated with podocyturia and altered expression of podocyte-specific proteins.1Garovic V. Wagner S. Petrovic L. et al.Glomerular expression of nephrin and synaptopodin, but not podocin, is decreased in kidney sections from women with preeclampsia.Nephrol Dial Transplant. 2007; 22: 1136-1143Crossref PubMed Scopus (106) Google Scholar, 2Barisoni L. Kriz W. Mundel P. et al.The dysregulated podocyte phenotype: a novel concept in the pathogenesis of collapsing idiopathic focal segmental glomerulosclerosis and HIV-associated nephropathy.J Am Soc Nephrol. 1999; 10: 51-61Crossref PubMed Scopus (6) Google Scholar, 3Craici I.M. Wagner S.J. Bailey K.R. et al.Podocyturia predates proteinuria and clinical features of preeclampsia: longitudinal prospective study.Hypertension. 2013; 61: 1289-1296Crossref PubMed Scopus (91) Google Scholar Preeclampsia may lead to immediate adverse pregnancy outcomes and also increases the odds of developing cardiovascular disease4Zoet G.A. Koster M.P. Velthuis B.K. et al.Determinants of future cardiovascular health in women with a history of preeclampsia.Maturitas. 2015; 82: 153-161Abstract Full Text Full Text PDF PubMed Scopus (47) Google Scholar and end-stage renal disease.5Vikse B.E. Irgens L.M. Leivestad T. et al.Preeclampsia and the risk of end-stage renal disease.N Engl J Med. 2008; 359: 800-809Crossref PubMed Scopus (495) Google Scholar Given the epidemiologic and hypothesized pathophysiologic parallels between glomerular disease and hypertensive disorders of pregnancy, we studied a cohort of patients with biopsy-proven GN (Cure Glomerulonephropathy) to assess whether preeclampsia, proteinuria, worsening hypertension, or decreased kidney function (“renal-relevant complications”) during a first pregnancy altered the timing and nature of the subsequent GN presentation. A total of 318 women reported their first pregnancy before their GN diagnosis. Clinical and demographic information at the time of their diagnostic kidney biopsy is reported in Table 1. Estimated glomerular filtration rate (P = 0.786), severity of proteinuria (P = 0.096), and hematuria (P = 0.420) at the time of biopsy were similar between women with and without renal-relevant complications during their first pregnancy. Women with a renal-relevant pregnancy complication were younger at biopsy than those without (P < 0.001). Women with IgA nephropathy or focal segmental glomerulosclerosis (FSGS) were more likely to report a renal-relevant pregnancy complication during their first pregnancy than those with minimal change disease or membranous nephropathy (P = 0.005). Among pregnancies with renal-relevant complications, 76.9% of infants (50/65) were delivered at full term, with a mean birth weight of 3.0 kg, compared to 91.0% (202/222) (P = 0.009) and 3.4 kg (P < 0.001), respectively, among pregnancies without these complications.Table 1Demographic and clinical characteristics at diagnostic kidney biopsy among women with and without complications during their first pregnanciesNo Complications during first pregnancyAny complication during first pregnancyP valueaP values from χ2 test for categorical variables and t tests for continuous variables. UPCR was log transformed before testing.n25167Age, yr, mean (SD)50.2 (13.4)39.2 (12.9)<0.001Hispanic16.1% (40/248)15.2% (10/66)0.997Race0.207 Black21.1% (51/242)33.9% (21/62) White64.5% (156/242)54.8% (34/62) Asian11.2% (27/242)8.1% (5/62) Other3.3% (8/242)3.2% (2/62)Cohort0.005 MCD (incl. IgM nephropathy)13.1% (33/251)11.9% (8/67) FSGS (incl. C1Q)29.1% (73/251)35.8% (24/67) MN31.5% (79/251)11.9% (8/67) IgAN (incl. IgAV/HSP)26.3% (66/251)40.3% (27/67)Family history of kidney disease35.9% (88/245)35.4% (23/65)0.999eGFR,bMissingness (no complications n, any complications n): eGFR (51,8); UPCR (78,16). mean (SD)68.5 (34.1)69.9 (33.8)0.786UPCR,bMissingness (no complications n, any complications n): eGFR (51,8); UPCR (78,16). median (IQR)5.0 (1.9-8.4)3.1 (1.5-5.3)0.096Immunosuppression use13.1% (26/199)15.3% (9/59)0.830Hematuria0.420 Negative or trace30.7% (47/153)40.8% (20/49) 1+20.3% (31/153)16.3% (8/49) 2+ or 3+49.0% (75/153)42.9% (21/49)C1Q, C1Q nephropathy; eGFR, estimated glomerular filtration rate; FSGS, focal segmental glomerulosclerosis; HSP, Henoch-Schonlein purpura; IgAN, IgA nephropathy; IgAV, IgA vasculitis; inc., including; IQR, interquartile range; MCD, minimal change disease; MN, membranous nephropathy; UPCR, urine protein-to-creatinine ratio.a P values from χ2 test for categorical variables and t tests for continuous variables. UPCR was log transformed before testing.b Missingness (no complications n, any complications n): eGFR (51,8); UPCR (78,16). Open table in a new tab C1Q, C1Q nephropathy; eGFR, estimated glomerular filtration rate; FSGS, focal segmental glomerulosclerosis; HSP, Henoch-Schonlein purpura; IgAN, IgA nephropathy; IgAV, IgA vasculitis; inc., including; IQR, interquartile range; MCD, minimal change disease; MN, membranous nephropathy; UPCR, urine protein-to-creatinine ratio. Although women with and without renal-relevant pregnancy complications were phenotypically similar at the time of subsequent kidney biopsy, we found that the latency time between a complicated first pregnancy and subsequent GN diagnosis was significantly shorter than after an uncomplicated first pregnancy (Figure 1). This was most prominent in women with worsening kidney function or increasing proteinuria during their first pregnancy (all P < 0.001), after adjusting for differences in age at pregnancy, race, and Hispanic ethnicity. The adjusted differences in latency time between complicated and uncomplicated pregnancies also varied by ultimate GN diagnosis (Figure 2), with between-group differences being greatest for FSGS and IgA (P = 0.003). Similarly, age at GN diagnosis was earlier after complicated first pregnancies (all P < 0.001), especially among individuals ultimately diagnosed with FSGS or IgA (P = 0.022). Models were adjusted for age at pregnancy, race, and ethnicity, of which younger age at pregnancy and non-Hispanic ethnicity were independently associated with decreased latency time and white race was associated with increased latency time (Supplementary Table S1).Figure 2Adjusted mean latency times between start of first pregnancy and subsequent diagnosis of glomerulonephropathy (GN) by complication status and diagnosis. Adjusted means were estimated using a linear model with an interaction between complication status and diagnosis. The model was adjusted for age at pregnancy, race, and Hispanic ethnicity, and included a square root transformation for time.View Large Image Figure ViewerDownload Hi-res image Download (PPT) In our secondary analysis, 318 women had a total of 730 pregnancies before GN diagnosis. Accounting for repeated pregnancies in individuals and adjusted for the presence of prior renal-relevant pregnancy complications, we found a persistent decrease in latency time after any pregnancy complicated by worsening kidney function, increasing proteinuria, worsening blood pressure, or preeclampsia (all P ≤ 0.001) (Supplementary Table S2). We found that among women with GN, those who experienced worsening kidney function, increasing proteinuria, worsening blood pressure control, and/or preeclampsia during prior pregnancy were diagnosed with GN sooner than their counterparts without these pregnancy complications. Although we considered recall bias as a potential explanation for this difference (i.e., women newly diagnosed with GN recall recent pregnancy complications more readily), literature suggests that maternal recall of even distant pregnancy events is generally accurate,6Carter E.B. Stuart J.J. Farland L.V. et al.Pregnancy complications as markers for subsequent maternal cardiovascular disease: validation of a maternal recall questionnaire.J Womens Health (Larchmt). 2015; 24: 702-712Crossref PubMed Scopus (48) Google Scholar, 7Chin H.B. Baird D.D. McConnaughey D.R. et al.Long-term recall of pregnancy-related events.Epidemiology. 2017; 28: 575-579Crossref PubMed Scopus (21) Google Scholar and recent validation of the question “Did you have a hypertensive disorder in pregnancy?” in a Dutch population of women was found to be 84% sensitive and 94% specific when compared to medical chart review.8Paauw N. van der Graaf A.M. Bozoglan R. et al.Kidney function after a hypertensive disorder of pregnancy: a longitudinal study.Am J Kidney Dis. 2017; 71: 619-626Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar In our study, pregnancies with reported renal-relevant complications were also objectively more likely to deliver prematurely with a lower mean birth weight, disputing recall bias as the sole explanation for the findings. Our study design is limited by an inability to adjust for potential confounders beyond age, race, and ethnicity; however, continued prospective observation within this cohort study (Cure Glomerulonephropathy) should allow for future in-depth analyses of pregnancies occurring after study enrollment. We have considered a number of hypotheses for our finding of decreased latency time between pregnancy and GN diagnosis after pregnancies with renal-relevant complications. Given the phenotypic similarities between GN and preeclampsia, GN occurring during pregnancy may have been misdiagnosed as preeclampsia. We found a more prominent difference in latency time among women who ultimately were diagnosed with IgA nephropathy or FSGS. IgA nephropathy and FSGS are more likely to affect women of childbearing age than is membranous nephropathy or minimal change disease, and therefore would be the most likely of the GNs to confound a preeclampsia diagnosis. In addition, IgA may have an indolent presentation, making possible both a missed diagnosis during pregnancy and an unrecognized increased risk for preeclampsia when compared to other GNs.9Piccoli G.B. Attini R. Cabiddu G. et al.Maternal-foetal outcomes in pregnant women with glomerulonephritidies. Are all glomerulonephritidies alike in pregnancy?.J Autoimmun. 2017; 79: 91-98Crossref PubMed Scopus (49) Google Scholar Alternatively, the podocyte depletion hypothesis may also explain the phenomenon of decreased latency of GN development.10Wiggins R.C. The spectrum of podocytopathies: a unifying view of glomerular diseases.Kidney Int. 2007; 71: 1205-1214Abstract Full Text Full Text PDF PubMed Scopus (579) Google Scholar This theory suggests that podocyte loss from an episode of preeclampsia results in decreased podocyte density and accelerates the subsequent clinical presentation of GN. Although this study is unable to determine a relative risk of GN after renal-relevant pregnancy complications, prior work by Vikse et al. found the relative risk of future kidney biopsy in women with preeclampsia to be three to six times that of childbearing women without preeclampsia.11Vikse B.E. Irgense L.M. Bostad L. et al.Adverse perinatal outcome and later kidney biopsy in the mother.J Am Soc Nephrol. 2006; 17: 837-845Crossref PubMed Scopus (76) Google Scholar This effect was most prominent in the first 5 years after childbirth, and a subset of these women were diagnosed with GNs such as FSGS and minimal change disease.11Vikse B.E. Irgense L.M. Bostad L. et al.Adverse perinatal outcome and later kidney biopsy in the mother.J Am Soc Nephrol. 2006; 17: 837-845Crossref PubMed Scopus (76) Google Scholar This supports our findings and suggests that preeclampsia may accelerate or unmask a GN diagnosis. Finally, GN and preeclampsia may share common genetic, immunologic, or environmental risk factors. The immunologic underpinnings of primary GNs and aberrant placentation in preeclampsia are a continued focus of study. Future study is needed to better elucidate common mechanisms. Pregnancy is an opportunity to engage young women in health care. A subset of these women will have pregnancy complications that may be harbingers of kidney disease. Our study highlights the need for close post partum follow-up for persistent signs of renal disease after renal-relevant pregnancy complications, akin to existing U.S. obstetric guidelines recommending follow-up of cardiovascular disease risk factors after preeclampsia.12American College of Obstetrics and Gynecology. Hypertension in pregnancy. Available at: https://www.acog.org/Resources-And-Publications/Task-Force-and-Work-Group-Reports/Hypertension-in-Pregnancy. Accessed December 18, 2017.Google Scholar Notably, these guidelines recommend yearly measurement of blood pressure, body mass index, lipids, and fasting blood glucose. Based on our findings, we suggest that assessment of serum creatinine, urinalysis, and urine protein-to-creatinine ratio be performed for women with acute kidney injury, preeclampsia, or proteinuria in pregnancy at the routine 6-week obstetric post partum follow-up and annually thereafter. Abnormal results of these low-cost tests should trigger a nephrology referral for further evaluation. By recognizing renal complications in pregnancy and subsequent risk for GN, we may be able to alter a trajectory otherwise headed toward irreversible renal injury. AO reports grants from NIH. JZ reports grants from NIH/NIDDK. MH reports grants from Genentech, CIHR, CCO, NIH, and KFOC, and is Medical Lead for Glomerular Disease and Specialty Clinics for the Ontario Renal Network. LM reports grants from NIH/NIDDK. DR reports grants from Reata Pharamaceuticals, Fast BioMedical, AbbVie Inc., Retrophin Inc, and is co-founder of Reliant Glycosciences LLC. KT reports a grant from Kaneka Pharma America LLC. Support for the CureGN consortium is provided by UM1DK100845, UM1DK100846, UM1DK100876, UM1DK100866, and UM1DK100867 from the NIDDK. Patient Recruitment is supported by NephCure Kidney International. AO is supported by T32 DK007378-38. Study design, analysis, data interpretation, and writing was performed by the authors. The authors wish to thank the members of the CureGN Women’s Health Working Group for their feedback. Research idea and study design: AO, LM, JZ, MH; statistical analysis: JZ; data interpretation: AO, MR, JZ, MOS, EMH, EH, DVR, CN, JS, NA, KT, LM, MH. Supervision or mentorship: LH, MH. Each author contributed important intellectual content during manuscript drafting or revision and accepts accountability for the overall work by ensuring that questions pertaining to the accuracy or integrity of any portion of the work are appropriate investigated and resolved. Download .docx (.01 MB) Help with docx files Short Methods Download .docx (.03 MB) Help with docx files Table S1Linear regression models of latency time from first pregnancy. Download .docx (.03 MB) Help with docx files Table S2Linear generalized estimating equation models of latency time from any pregnancy.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.311
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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