Pediatric Chronic Kidney Disease Data Report 2016

2018 a nnual d ata r eport v olume 1 c hronic n.w
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Explore the demographic characteristics and prevalence of comorbid conditions among pediatric patients with chronic kidney disease (CKD) in the 2016 data report. Gain insights into the distribution of CKD, cardiovascular disease, and diabetes mellitus among children and adolescents, including age, sex, race/ethnicity, and comorbidity information.

  • Pediatric
  • Chronic Kidney Disease
  • Demographics
  • Comorbid Conditions
  • 2016

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  1. 2018 ANNUAL DATA REPORT VOLUME 1: CHRONIC KIDNEY DISEASE Chapter 6: CKD among Children and Adolescents 2018 Annual Data Report Volume 1 CKD, Chapter 6

  2. vol 1 Table 6.1 Demographic characteristics of pediatric patients among Optum Clinformatics , 2016 All children Children with CKD Percent (% of all children) 0.27 Sample count Percent (%) Count All Age 0-4 5-9 10-13 14-17 18-21 Sex Male Female Unknown Race/Ethnicity White Black/African American Asian Hispanic Unknown/Missing Comorbidity Diabetes Mellitus Hypertension Cardiovascular Disease 1,970,375 100 5,285 308,099 445,408 392,978 411,582 412,308 15.6 22.6 19.9 20.9 20.9 1,122 1,027 839 1,085 1,212 0.36 0.23 0.21 0.26 0.29 1,007,120 963,175 80 51.1 48.9 <0.01 2,491 2,794 0 0.25 0.29 0.00 Data Source: Special analyses, Optum Clinformatics alive & eligible for all of 2016. CVD is defined as presence of any of the following comorbidities: cerebrovascular accident, peripheral vascular disease, atherosclerotic heart disease, heart failure, dysrhythmia or other cardiac comorbidities. Abbreviation: CKD, chronic kidney disease. (aged <22) 1,265,505 149,789 104,525 244,113 206,443 64.2 7.6 5.3 12.4 10.5 3,459 342 239 626 619 0.27 0.23 0.23 0.26 0.30 6,546 3,483 17,549 0.3 0.2 0.9 217 463 543 3.32 13.29 3.09 2

  3. vol 1 Table 6.2 Prevalence of comorbid conditions by diagnosis codes (CKD, CVD), (a) total & (b) one or more, among Optum Clinformatics pediatric patients, 2016 (a) total Clinformatics Sample count Cases per 10,000 All Total CKD Total CVD Total DM 5,285 17,549 6,546 27 89 33 Data Source: Special analyses, Optum Clinformatics eligible for all of 2016. Abbreviations: CKD, chronic kidney disease; CVD, cardiovascular disease; DM, diabetes mellitus. CVD is defined as presence of any of the following comorbidities: cerebrovascular accident, peripheral vascular disease, atherosclerotic heart disease, congestive heart failure, dysrhythmia or other cardiac comorbidities. (aged <22) alive & 3

  4. vol 1 Table 6.2 Prevalence of comorbid conditions by diagnosis codes (CKD, CVD), (a) total & (b) one or more, among Optum Clinformatics pediatric patients, 2016 (b) Combinations of CKD, CVD, or DM diagnoses Clinformatics Sample count Cases per 10,000 All Only CKD Only CVD Only DM CKD & DM, no CVD CKD & CVD, no DM DM & CVD, no CKD CKD & CVD & DM At least one comorbidity At least two comorbidities No CKD, no CVD, no DM 4,564 16,731 6,054 178 504 275 23 85 31 1 3 1 39 <1 28,345 996 1,942,030 144 5 9,856 Data Source: Special analyses, Optum Clinformatics Abbreviations: CKD, chronic kidney disease; CVD, cardiovascular disease; DM, diabetes mellitus. CVD is defined as presence of any of the following comorbidities: cerebrovascular accident, peripheral vascular disease, atherosclerotic heart disease, congestive heart failure, dysrhythmia or other cardiac comorbidities. (aged <22) alive & eligible for all of 2016. 4

  5. vol 1 Table 6.3 Unadjusted and adjusted all-cause hospitalization rates (per 1,000 patient years at risk) for Clinformatics patients aged <22, by CKD status, 2016 Unadjusted Adjusted No CKD 28.3 95.2 All CKD 325.8 482.5 216.0 174.1 227.8 345.0 346.9 304.9 247.4 267.1 407.5 No CKD 22.4 55.9 All CKD 273.0 366.4 218.6 174.2 228.1 343.3 275.5 268.0 244.0 262.8 303.8 All 0-4 5-9 10-13 14-17 18-21 Male Female White Blk/Af Am Other 5.4 6.3 14.1 20.1 26.9 29.8 12.7 14.0 44.8 5.6 6.7 14.9 21.3 20.8 24.0 13.7 15.1 36.2 Data source: Special analyses, Optum Clinformatics prevalent patients, aged <22. Optum Clinformatics patients aged <22 who were enrolled in the plan, did not have diagnoses of ESRD, and were alive on January 1, 2016. Adj: for age/sex/race. Standard population: all patients, 2010-2011. Abbreviations: Blk/Af Am, Black/African American; CKD, chronic kidney disease. . January 1, 2016 point commercial insurance 5

  6. vol 1 Figure 6.1 Adjusted all-cause hospitalization rates (per 1,000 patient years at risk) for Clinformatics <22, by CKD status and year, 2006-2016 patients aged Data source: Clinfomatics . January 1, 2016 point prevalent Clinformatics patients age <22. Adj: age/sex/race. Ref: 2010-2011 patients. Abbreviations: CKD, chronic kidney disease. 6

  7. vol 1 Figure 6.2 Adjusted rates of hospitalization (per 1,000 patient years at risk) for Clinformatics with CKD, by cause, 2014-2016 patients aged < 22 Data source: Clinformatics age/sex/race; rates by one factor are adjusted for the others. Ref: all patients, 2010-2011. Abbreviations: CKD, chronic kidney disease; CVD, cardiovascular disease. . January 1, 2016 point prevalent Clinformatics patients, age < 22 . Adj: 7

  8. vol 1 Figure 6.3 Per person per year Commercial spending ($, in thousands) for Clinformatics status, and year, 2006-2016 patients aged <22, by CKD Data Source: Optum Clinformatics . Abbreviations: CKD, chronic kidney disease; PPPY, per person per year. 8

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