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Original Research

Incidence Rate of Advanced Chronic Kidney Disease Among Privately Insured Adults with Neurodevelopmental Disabilities

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Pages 235-243 | Published online: 27 Feb 2020

References

  • United States Renal Data System. 2018 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States. Bethesda (MD): National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 2018.
  • Ojo A. Addressing the global burden of chronic kidney disease through clinical and translational research. Trans Am Clin Climatol Assoc. 2014;125:229–243.25125737
  • Centers for Disease Control and Prevention. Chronic Kidney Disease in the United States, 2019. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention; 2019.
  • Whitney DG, Shapiro DN, Warschausky SA, Hurvitz EA, Peterson MD. The contribution of neurologic disorders to the national prevalence of depression and anxiety problems among children and adolescents. Ann Epidemiol. 2019;29:81–84 e82. doi:10.1016/j.annepidem.2018.11.00330545763
  • Tyler K, MacDonald M, Menear K. Physical activity and physical fitness of school-aged children and youth with autism spectrum disorders. Autism Res Treat. 2014;2014:312163.25309753
  • Garcia CC, Alcocer-Gamboa A, Ruiz MP, et al. Metabolic, cardiorespiratory, and neuromuscular fitness performance in children with cerebral palsy: a comparison with healthy youth. J Exerc Rehabil. 2016;12(2):124–131. doi:10.12965/jer.1632552.27627162775
  • Whitney DG, Singh H, Miller F, et al. Cortical bone deficit and fat infiltration of bone marrow and skeletal muscle in ambulatory children with mild spastic cerebral palsy. Bone. 2017;94:90–97. doi:10.1016/j.bone.2016.10.00527732905
  • Whitney DG, Singh H, Zhang C, Miller F, Modlesky CM. Greater visceral fat but no difference in measures of total body fat in ambulatory children with spastic cerebral palsy compared to typically developing children. J Clin Densitom. 2018. doi:10.1016/j.jocd.2018.09.006
  • Whitney DG, Miller F, Pohlig RT, Modlesky CM. BMI does not capture the high fat mass index and low fat-free mass index in children with cerebral palsy and proposed statistical models that improve this accuracy. Int J Obes (Lond). 2018;43(1):82–90.30181652
  • Corvey K, Menear KS, Preskitt J, Goldfarb S, Menachemi N. Obesity, physical activity and sedentary behaviors in children with an autism spectrum disorder. Matern Child Health J. 2016;20(2):466–476. doi:10.1007/s10995-015-1844-526515467
  • Neumeyer AM, Cano Sokoloff N, McDonnell E, Macklin EA, McDougle CJ, Misra M. Bone accrual in males with autism spectrum disorder. J Pediatr. 2017;181:195–201 e196. doi:10.1016/j.jpeds.2016.10.08027887681
  • da Silva VZ, de Franca Barros J, de Azevedo M, de Godoy JR, Arena R, Cipriano G Jr. Bone mineral density and respiratory muscle strength in male individuals with mental retardation (with and without Down Syndrome). Res Dev Disabil. 2010;31(6):1585–1589. doi:10.1016/j.ridd.2010.05.00320541908
  • Croen LA, Zerbo O, Qian Y, et al. The health status of adults on the autism spectrum. Autism. 2015;19(7):814–823. doi:10.1177/136236131557751725911091
  • Morin D, Merineau-Cote J, Ouellette-Kuntz H, Tasse MJ, Kerr M. A comparison of the prevalence of chronic disease among people with and without intellectual disability. Am J Intellect Dev Disabil. 2012;117(6):455–463. doi:10.1352/1944-7558-117.6.45523167485
  • Carey IM, Shah SM, Hosking FJ, et al. Health characteristics and consultation patterns of people with intellectual disability: a cross-sectional database study in English general practice. Br J Gen Pract. 2016;66(645):e264–e270. doi:10.3399/bjgp16X68430126906630
  • Whitney DG, Kamdar NS, Ng S, Hurvitz EA, Peterson MD. Prevalence of high-burden medical conditions and health care resource utilization and costs among adults with cerebral palsy. Clin Epidemiol. 2019;11:469–481. doi:10.2147/CLEP.S20583931417318
  • Tsai WC, Wu HY, Peng YS, et al. Risk factors for development and progression of chronic kidney disease: a systematic review and exploratory meta-analysis. Medicine (Baltimore). 2016;95(11):e3013. doi:10.1097/MD.000000000000301326986114
  • McMahon GM, Preis SR, Hwang SJ, Fox CS. Mid-adulthood risk factor profiles for CKD. J Am Soc Nephrol. 2014;25(11):2633–2641. doi:10.1681/ASN.201307075024970884
  • Arora P, Jalal K, Gupta A, Carter RL, Lohr JW. Progression of kidney disease in elderly stage 3 and 4 chronic kidney disease patients. Int Urol Nephrol. 2017;49(6):1033–1040. doi:10.1007/s11255-017-1543-928236138
  • de Winter CF, Echteld MA, Evenhuis HM. Chronic kidney disease in older people with intellectual disability: results of the HA-ID study. Res Dev Disabil. 2014;35(3):726–732. doi:10.1016/j.ridd.2013.11.00524287320
  • Burke SL, Wagner E, Marolda H, Quintana JE, Maddux M. Gap analysis of service needs for adults with neurodevelopmental disorders. J Intellect Disabil. 2019;23(1):97–116. doi:10.1177/174462951772620928847208
  • Whitney D, Kamdar N, Hirth RA, Hurvitz EA, Peterson MD. Economic burden of paediatric-onset disabilities among young and middle-aged adults in the USA: a cohort study of privately insured beneficiaries. BMJ Open. 2019;9(9):e030490. doi:10.1136/bmjopen-2019-030490
  • Reeves S, Garcia E, Kleyn M, et al. Identifying sickle cell disease cases using administrative claims. Acad Pediatr. 2014;14(5 Suppl):S61–S67. doi:10.1016/j.acap.2014.02.00824882379
  • Whitney DG, Pruente J, Schmidt M. Risk of advanced chronic kidney disease among adults with spina bifida. Ann Epidemiol. 2020. doi:10.1016/j.annepidem.2020.01.003
  • Muntner P, Gutierrez OM, Zhao H, et al. Validation study of medicare claims to identify older US adults with CKD using the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. Am J Kidney Dis. 2015;65(2):249–258. doi:10.1053/j.ajkd.2014.07.01225242367
  • Winkelmayer WC, Schneeweiss S, Mogun H, Patrick AR, Avorn J, Solomon DH. Identification of individuals with CKD from medicare claims data: a validation study. Am J Kidney Dis. 2005;46(2):225–232. doi:10.1053/j.ajkd.2005.04.02916112040
  • Whitney DG, Whibley D, Jepsen KJ. The effect of low-trauma fracture on one-year mortality rate among privately insured adults with and without neurodevelopmental disabilities. Bone. 2019;129:115060. doi:10.1016/j.bone.2019.11506031494304
  • Van Naarden Braun K, Christensen D, Doernberg N, et al. Trends in the prevalence of autism spectrum disorder, cerebral palsy, hearing loss, intellectual disability, and vision impairment, metropolitan atlanta, 1991–2010. PLoS One. 2015;10(4):e0124120. doi:10.1371/journal.pone.012412025923140
  • Blaskowitz MG, Hernandez B, Scott PW. Predictors of emergency room and hospital utilization among adults with Intellectual and Developmental Disabilities (IDD). Intellect Dev Disabil. 2019;57(2):127–145. doi:10.1352/1934-9556-57.2.12730920909
  • Whitney DG, Warschausky SA, Peterson MD. Mental health disorders and physical risk factors in children with cerebral palsy: a cross-sectional study. Dev Med Child Neurol. 2019;61(5):579–585. doi:10.1111/dmcn.2019.61.issue-530362114
  • Whitney DG. Prevalence of high-burden medical conditions among young and middle-aged adults with pediatric-onset medical conditions: findings from us private and public administrative claims data. Int J Health Policy Manag. 2019;8(11):629–635. doi:10.15171/ijhpm.2019.6231779288
  • Prastiya IG, Risky VP, Mira I, Retno AS, Darto S, Erny P. Risk factor of mortality in indonesian children with cerebral palsy. J Med Invest. 2018;65(1.2):18–20. doi:10.2152/jmi.65.1829593188
  • Asar O, Ritchie J, Kalra PA, Diggle PJ. Short-term and long-term effects of acute kidney injury in chronic kidney disease patients: a longitudinal analysis. Biom J. 2016;58(6):1552–1566. doi:10.1002/bimj.20150027027627622
  • Benisty K, Morgan C, Hessey E, et al. Kidney and blood pressure abnormalities 6 years after acute kidney injury in critically ill children: a prospective cohort study. Pediatr Res. 2020. doi:10.1038/s41390-019-0737-5
  • Reid SM, Meehan EM, Arnup SJ, Reddihough DS. Intellectual disability in cerebral palsy: a population-based retrospective study. Dev Med Child Neurol. 2018;60(7):687–694. doi:10.1111/dmcn.2018.60.issue-729667705
  • Tonnsen BL, Boan AD, Bradley CC, Charles J, Cohen A, Carpenter LA. Prevalence of autism spectrum disorders among children with intellectual disability. Am J Intellect Dev Disabil. 2016;121(6):487–500. doi:10.1352/1944-7558-121.6.48727802102
  • McColl MA, Forster D, Shortt SE, et al. Physician experiences providing primary care to people with disabilities. Healthc Policy. 2008;4(1):e129–e147.19377334
  • Schoufour JD, Oppewal A, van der Maarl HJK, et al. Multimorbidity and polypharmacy are independently associated with mortality in older people with intellectual disabilities: a 5-year follow-up from the HA-ID study. Am J Intellect Dev Disabil. 2018;123(1):72–82. doi:10.1352/1944-7558-123.1.7229281324