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2 citation(s) found for "Ilowite, NT".

Novel Method to Collect Medication Adverse Events in Juvenile Arthritis: Results From the Childhood Arthritis and Rheumatology Research Alliance Enhanced Drug Safety Surveillance Project
Ringold, Sarah , Hendrickson, Audrey, Abramson, Leslie, Beukelman, Timothy , Blier, Peter R., Bohnsack, John F. , Chalom, Elizabeth, Gewanter, Harry L., Gottlieb, Beth S. , Hollister, Roger, Hsu, Joyce , Hudgins, Andrea, Klein‐Gitelman, Marisa, Lindsley, Carol B., Lopez‐Benitez, Jorge M. , Lovell, Daniel J. , Mason, Tom, Milojevic, Diana , Moorthy, Lakshmi N., Nanda, Kabita , Onel, Karen , Rabinovich, C. Egla, Ray, Linda, Rouster‐Stevens, Kelly , Ruth, Natasha M. , Shishov, Michael , Spalding, Steven J., Syed, Reema , Vehe, Richard K. , Weiss, Jennifer E. , White, Andrew J. , Wallace, Carol A., Sobel, Rachel E. , Ilowite, Norman T. , Moorthy, L. Nandini , Prahalad, Sampath , Stoll, Matthew Laurence , White, Andrew J

Arthritis Care & Research | October 20, 2014 | Volume: 67 | Issue: 4 | Pages: 529-537

10.1002/acr.22487 | PMID 25331530 Get It

ObjectiveFew data are available regarding the rates of serious adverse events (SAEs) and important medical events (IMEs) outside of product‐based registries and clinical trials for juvenile idiopathic arthritis (JIA). The Enhanced Drug Safety Surveillance Project (EDSSP) was developed to pilot a novel system to collect SAEs/IMEs in children with JIA. This analysis reports the results from this 4‐year (2008–2012) EDSSP.MethodsParticipating physicians were surveyed monthly to ascertain whether their JIA patients experienced an SAE or IME. Sites were surveyed every 6 months to determine the number of unique JIA patients seen at each site during that 6‐month period. Reporting rates were calculated per 100 person‐years and 95% confidence intervals (95% CIs) were calculated based on a Poisson distribution.ResultsThirty‐seven Childhood Arthritis and Rheumatology Research Alliance sites with 115 physicians participated. The mean response rate to the monthly surveys was 65%. There were 147 total SAEs and 145 total IMEs. The largest proportion of SAEs and IMEs occurred in children with polyarticular JIA (39% and 37%, respectively). The majority of SAEs and IMEs were reported for patients receiving therapy with biologic agents (76% and 69%, respectively). The total event rate for SAEs and IMEs combined was 1.07 events per 100 person‐years (95% CI 0.95–1.19). The rates for SAEs and IMEs were 0.54 per 100 person‐years (95% CI 0.45–0.63) and 0.53 per 100 person‐years (95% CI 0.49–0.62), respectively.ConclusionThe EDSSP provided a simple tool for SAE/IME reporting within an established research network and resulted in a similar range of reported events as captured by a traditional product‐based registry.
Laboratory markers of cardiovascular risk in pediatric SLE: the APPLE baseline cohort
Ardoin, S., Schanberg, LE, Sandborg, Christy , Yow, Eric, Barnhart, HX, Mieszkalski, K. L., Ilowite, NT, Scheven, Emily von , Eberhard, A., Levy, Deborah M. , Silverman, Earl D. , Bowyer, S., Punaro, Lynn, Singer, Nora G. , Sherry, DD, McCurdy, Deborah , Klein‐Gitelman, Marissa, Wallace, Carol A., Wagner‐Weiner, Linda , Higgins, GC, Brunner, HI, Jung, LK, Imundo, Lisa F., Soep, JB, Reed, AM, investigators, APPLE, Mellins, Elizabeth , Schanberg, LE, Kimura, Yuki , Bowyer, Suzanne L., Silver, Richard M. , investigators, APPLE

Lupus | September 22, 2010 | Volume: 19 | Issue: 11 | Pages: 1315-1325

10.1177/0961203310373937 | PMID 20861207 Get It

As part of the Atherosclerosis Prevention in Pediatric Lupus Erythematosus (APPLE) Trial, a prospective multicenter cohort of 221 children and adolescents with systemic lupus erythematosus (SLE) (mean age 15.7 years, 83% female) underwent baseline measurement of markers of cardiovascular risk, including fasting levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), lipoprotein A (Lpa), homocysteine and high-sensitivity C-reactive protein (hs-CRP). A cross-sectional analysis of the baseline laboratory values and clinical characteristics of this cohort was performed. Univariable relationships between the cardiovascular markers of interest and clinical variables were assessed, followed by multivariable linear regression modeling. Mean levels of LDL, HDL, Lpa, TG, hs-CRP and homocysteine were in the normal or borderline ranges. In multivariable analysis, increased Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), prednisone dose, and hypertension (HTN) were independently associated with higher LDL levels. Higher hs-CRP and creatinine clearance were independently related to lower HDL levels. Higher body mass index (BMI), prednisone dose, and homocysteine levels were independently associated with higher TG levels. Only Hispanic or non-White status predicted higher Lpa levels. Proteinuria, higher TG and lower creatinine clearance were independently associated with higher homocysteine levels, while use of multivitamin with folate predicted lower homocysteine levels. Higher BMI, lower HDL, and longer SLE disease duration, but not SLEDAI, were independently associated with higher hs-CRP levels. The R 2 for these models ranged from 7% to 23%. SLE disease activity as measured by the SLEDAI was associated only with higher LDL levels and not with hs-CRP. Markers of renal injury (HTN, proteinuria, and creatinine clearance) were independently associated with levels of LDL, HDL, and homocysteine, highlighting the importance of renal status in the cardiovascular health of children and adolescents with SLE. Future longitudinal analysis of the APPLE cohort is needed to further examine these relationships.