Use of renin angiotensin aldosterone system inhibitors in children with lupus and time to glucocorticoid discontinuation.

2022

395-404

05/2022

1523-1755

There is little data to inform use of renin angiotensin aldosterone system (RAAS) inhibitors in pediatric patients with systemic lupus erythematosus (SLE). Here, we sought to characterize RAAS inhibitor use in pediatric SLE and determine whether early RAAS inhibitor initiation among children with incident lupus nephritis is associated with decreased duration of chronic glucocorticoid exposure. A retrospective cohort study was performed of children (ages 5-18) with SLE and/or lupus nephritis in the Truven MarketScan™ Medicaid and Commercial databases (2013-2018) and estimated RAAS inhibitor use. Among incident nephritis cases, we used competing risk hazard models with inverse probability of treatment weighting to estimate the association between RAAS inhibitor initiation less than 180 days after diagnosis and time to glucocorticoid discontinuation with kidney failure as a competing event. Among 592 children with nephritis and 1407 children with non-kidney SLE, 67% and 15% ever received RAAS inhibitors, respectively. Median duration of RAAS inhibitor use among 323 incident users was 14 and 9 months in children with and without nephritis, respectively. Medicaid enrollment was independently associated with greater likelihood of RAAS inhibitor use, irrespective of nephritis. Among 158 incident nephritis cases, early RAAS inhibitor initiation was significantly associated with a faster rate of glucocorticoid discontinuation (adjusted sub-distribution hazard ratio 1.81, 95% confidence interval [1.09 - 3.00]). Thus, early initiation of RAAS inhibitors may have a role in children newly diagnosed with lupus nephritis; not only those with refractory proteinuria after induction therapy. Hence, integrated health systems data could be leveraged to confirm these findings and optimize adjunctive therapies in pediatric lupus.

10.1016/j.kint.2022.04.023

Kidney Int

35618096

Using a Multi-Institutional Pediatric Learning Health System to Identify Systemic Lupus Erythematosus and Lupus Nephritis: Development and Validation of Computable Phenotypes.

2021

2021 Nov 03

1555-905X

<p><strong>BACKGROUND AND OBJECTIVES: </strong>Performing adequately powered clinical trials in pediatric diseases, such as SLE, is challenging. Improved recruitment strategies are needed for identifying patients.</p>

<p><strong>DESIGN, SETTING, PARTICIPANTS, &amp; MEASUREMENTS: </strong>Electronic health record algorithms were developed and tested to identify children with SLE both with and without lupus nephritis. We used single-center electronic health record data to develop computable phenotypes composed of diagnosis, medication, procedure, and utilization codes. These were evaluated iteratively against a manually assembled database of patients with SLE. The highest-performing phenotypes were then evaluated across institutions in PEDSnet, a national health care systems network of &gt;6.7 million children. Reviewers blinded to case status used standardized forms to review random samples of cases (=350) and noncases (=350).</p>

<p><strong>RESULTS: </strong>Final algorithms consisted of both utilization and diagnostic criteria. For both, utilization criteria included two or more in-person visits with nephrology or rheumatology and ≥60 days follow-up. SLE diagnostic criteria included absence of neonatal lupus, one or more hydroxychloroquine exposures, and either three or more qualifying diagnosis codes separated by ≥30 days or one or more diagnosis codes and one or more kidney biopsy procedure codes. Sensitivity was 100% (95% confidence interval [95% CI], 99 to 100), specificity was 92% (95% CI, 88 to 94), positive predictive value was 91% (95% CI, 87 to 94), and negative predictive value was 100% (95% CI, 99 to 100). Lupus nephritis diagnostic criteria included either three or more qualifying lupus nephritis diagnosis codes (or SLE codes on the same day as glomerular/kidney codes) separated by ≥30 days or one or more SLE diagnosis codes and one or more kidney biopsy procedure codes. Sensitivity was 90% (95% CI, 85 to 94), specificity was 93% (95% CI, 89 to 97), positive predictive value was 94% (95% CI, 89 to 97), and negative predictive value was 90% (95% CI, 84 to 94). Algorithms identified 1508 children with SLE at PEDSnet institutions (537 with lupus nephritis), 809 of whom were seen in the past 12 months.</p>

<p><strong>CONCLUSIONS: </strong>Electronic health record-based algorithms for SLE and lupus nephritis demonstrated excellent classification accuracy across PEDSnet institutions.</p>

10.2215/CJN.07810621

Clin J Am Soc Nephrol

34732529