 
            
              CKiD Study
            
            @CKiDStudy
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              CKiD is a multicenter, prospective cohort study of children with chronic kidney disease. Account managed by staff at @JohnsHopkinsEPI. Tweets not medical advice
              
              Joined July 2020
            
            
           🚨  https://t.co/phDFWkhftx  Black Friday sale!! 🚨 100% off of all of our #PedNeph #meded materials and clinical calculators incl @CKiDStudy U25 eGFR, blood and plasma volume, BSA, total body water, and tacrolimus adjustment For an unlimited time! Get it while it's hot! 
          
                
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             In this population of children and adolescents with CKD, we found the relationship between UPCR and albumin/protein is different by CKD diagnosis and there are proposed equations to estimate urine albumin from total urine protein. @AJKDonline
             https://t.co/ZkiIwVXmYb 
          
          
                
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             New #CKiD paper 🔥 off the press in @HyperAHA! "Machine Learning–Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease" #MachineLearning #Epidemiology #Prediction #BloodPressure #ABPM
            @joshuaasamuels @drjosflynn @suefurth_chop @funsocdoc @ngderekk
          
           Machine Learning–Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease @IntPedHTN @CKiDStudy
               https://t.co/DBVH63YpJR 
            
            
                
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             Staff like Sara are invaluable to the study, and we are so thankful for all the work she does connecting with participants and publishing important + impactful analyses. Thank you for all you do and have done for CKiD, Sara! #NephTwitter #CKiDStudy #PediatricNephrology
          
          
                
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             “We believe it is possible that the CKiD participants may have access to resources though their close subspecialty follow-up that help attenuate some neighborhood effects.” 
          
                
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             Healthcare utilization differences persisted even after controlling for individual factors, while those in KRT did not. Hypertension, obesity, short stature, and progression to ESKD were not associated with neighborhood SES in adjusted models. 
          
                
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             Sara & coauthors found that in the unadjusted model, participants in neighborhoods with higher deprivation scores were less likely to receive a preemptive transplant, as well as differences in healthcare utilization. 
          
                
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             “I was interested in using the census data to explore how neighborhood factors influenced the health and well-being of our participants. We looked at several aspects of neighborhood SES, including education, race, urban vs. rural, as well as neighborhood poverty.” 
          
                
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             While working in her current position, Sara completed an MPH at the University of South Florida, and used CKiD data for her capstone project, resulting in an @AJKDonline publication (linked here)!  https://t.co/57zycRw8Jc 
          
          
            
            pubmed.ncbi.nlm.nih.gov
              Neighborhood-level socioeconomic status (SES) was associated with poorer health characteristics and CKD progression in univariable analysis. However, the relationships were attenuated after account...
            
                
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             “I’ve seen so many of them go from toddlers to teens. Now as they get older, I get to watch them go off to college and even get married! I also really appreciate how CKiD looks at how CKD impacts the entirety of the patient’s health and life.” 
          
                
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             “I always introduce [participants] personally to any new coordinators and still attend their study visits, even if it’s just long enough to say hello and see how they are. I feel that this is essential for retention and it’s something I also enjoy.” 
          
                
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             When Sara first started, she acted as the main CKiD site coordinator for Hopkins, but now she primarily oversees and mentors new CKiD coordinators! However, maintaining a personal relationship with the CKiD participants is one of her top priorities. 
          
                
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             Sara started working with CKiD in October 2007: “This was my first real research position and I’m incredibly grateful that I got to learn from such an excellent team. This firsthand knowledge of how a well-organized, successful, multicenter study was run has been very valuable.” 
          
                
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             “There is a lot of overlap between the CKiD and NAPRTCS sites so I get to maintain relationships with the coordinators and investigators I met through CKiD.” 
          
                
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             We have a new #CKiD Twitter Feature for you today! Sara Boynton is a Senior Research Program Manager at the Johns Hopkins School of Medicine @HopkinsMedicine. She has worked as a CKiD coordinator, and also manages the @NAPRTCS1 studies! 
          
                
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             Self-Reported Race, Serum Creatinine, Cystatin C, and GFR in Children and Young Adults With Pediatric Kidney Diseases: A Report From the @CKiDStudy
             https://t.co/rMto0uHe5N 
            @ngderekk @suefurth_chop @funsocdoc @DrDeidraCrews @JohnsHopkinsSPH
            #pedneph #VisualAbstract
          
          
                
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             Association of GSTM1 Deletion With Progression of CKD in Children: Findings From the Chronic Kidney Disease in Children (CKiD) Study  https://t.co/zYJ3dyvgiD 
            @rvlevy @KimReidy2 @funsocdoc @suefurth_chop @MelamedMichal @UrmcNephrology @MonteNephrology #pedneph #CKD
          
          
                
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             A fun fact about Ankur: he read almost all the Game of Thrones books as a middle schooler! (aka before it was cool 😎). We’re so thankful to have Ankur as a CKiD team member, and can’t wait to see how his work will influence the field of pediatric nephrology going forward! 
          
                
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             The other is supporting an investigator-led analysis to understand the relationship between food assistance and chronic kidney disease (more to come once it is published!) 
          
                
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             One is applying regression methods for data quality control to ensure CKiD data is as clean and as a valid as possible. CKiD has huge amounts of data so it is crucial to develop efficient systems to ensure data quality is high. 
          
                
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