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

PURPOSE: Due to complex medical profiles, adults with neurodevelopmental disabilities (NDDs) may have a heightened risk for early development of chronic kidney disease (CKD) and accelerated CKD progression to advanced stages and kidney failure. The purpose of this study was to estimate the incidence rate of advanced CKD for adults with NDDs and compare the incidence rate to adults without NDDs. PATIENTS AND METHODS: Data were used from the Optum Clinformatics® Data Mart to conduct this retrospective cohort study. The calendar year 2013 was used to identify eligible participants: individuals ≥18 years of age and without advanced CKD. Participants were followed from 01/01/2014 to advanced CKD, loss to follow-up, death, or end of the study period (12/31/2017), whichever came first. Diagnostic, procedure, and diagnosis-related group codes identified NDDs (intellectual disabilities, cerebral palsy, autism spectrum disorders), incident cases of advanced CKD (CKD stages 4+), diabetes, cardiovascular diseases, and hypertension present in the year 2013. Crude incidence rates (IR) of advanced CKD and IR ratios (IRR), comparing adults with vs without NDDs (with 95% CI) were estimated. Then, Cox regression estimated the hazard ratio (HR and 95% CI) for advanced CKD, comparing adults with NDDs to adults without NDDs while adjusting for covariates.
RESULTS: Adults with NDDs (n=33,561) had greater crude IR of advanced CKD (IRR=1.32; 95% CI=1.24-1.42) compared to adults without NDDs (n=6.5M). The elevated rate of advanced CKD among adults with NDDs increased after adjusting for demographics (HR=2.19; 95% CI=2.04-2.34) and remained elevated with further adjustment for hypertension and diabetes (HR=2.01; 95% CI=1.87-2.15) plus cardiovascular disease (HR=1.84; 95% CI=1.72-1.97). Stratified analyses showed that the risk of advanced CKD was greater for all NDD subgroups.
CONCLUSION: Study findings suggest that adults with NDDs have a greater risk of advanced CKD than do adults without NDDs, and that difference is not explained by covariates used in our analysis.

Introduction

Chronic kidney disease (CKD) is a public health issue and affects approximately 46 million individuals in the United States.1 As CKD progresses to renal failure and end-stage renal disease (ESRD), which is the permanent state of kidney loss-of-function, treatment strategies become increasingly burdensome for the patient and their caregivers, and are associated with exceedingly high medical costs.2 Unfortunately, nearly half of adults with low kidney function and not on dialysis are not aware they have CKD3 as CKD symptomatology is nearly absent in the early stages. Therefore, identifying populations at risk for CKD is needed in order to develop target-specific strategies to prevent, treat, and manage CKD.

Due to complex medical profiles and unmet healthcare needs, adults with neurodevelopmental disabilities (NDDs) may be at high risk for early development of CKD and rapid disease progression to advanced CKD. Three common NDDs, accounting for approximately 8 million individuals in the US, are intellectual disabilities, cerebral palsy, and autism spectrum disorders.4 These NDDs often co-occur with one another. While the cause and etiology of NDDs vary, the greater likelihood of having complex and unmet healthcare needs, as well as the lack of clinical knowledge about their healthful aging process, are commonalities linking all types of individuals with NDDs. Children with NDDs have low fitness levels,5,6 excess body fat,7–10 poor psychosocial development,4 and orthopedic issues.7,11,12 Having complex healthcare needs throughout growth and development could have long-term and lasting implications on adult health status. Indeed, results from several studies have shown that the pediatric to adult transition for individuals with NDDs is accompanied by early development of high-burden chronic diseases.13–16 Specifically, adults with NDDs are at greater risk for early development of cardiometabolic diseases compared to the general population, which are strong predictors of CKD onset17,18 and rate of CKD progression19 in non-NDD populations.

Other than a few cross-sectional studies with mixed findings of elevated CKD prevalence among adults with vs without NDDs,16,20 very little knowledge exists regarding the incidence of CKD for NDD populations or relative risk of CKD compared to individuals without NDDs. By not knowing the extent to which NDD contributes to the progression of advanced CKD, clinicians and healthcare providers may miss important windows to prevent CKD onset or slow CKD progression to later and advanced stages that are irreversible, costly, and fatal. Therefore, identifying advanced CKD incidence among NDD populations is urgently needed, as this knowledge could inform early decision-making processes for the patient and clinician focused on preventing or mitigating the burden of CKD in populations with already compromised health status. This notion is supported by a recent needs-based assessment by experts in the field concluding that adult-focused medical care is a universal need that is currently lacking for these NDD populations.21 Accordingly, the purpose of this study was to estimate the incidence rate of advanced CKD among adults with NDDs, as compared to adults without NDDs. We hypothesized that adults with NDDs have an increased advanced CKD risk when compared to individuals without NDDs.

Materials and Methods

Data Source

Data from 2013 to 2017 were extracted from the Optum Clinformatics® Data Mart Database (OptumInsightTM, Eden Prairie, MN, USA). This database has been described previously.22 Briefly, this is a nationwide de-identified single private payer administrative claims database in the United States, which houses insurance-related data from individuals who have Medicare Advantage or commercial health plans. Individuals covered by Medicare may opt to enroll in a private Medicare Advantage health plan in addition to the traditional Medicare program. Medicare Advantage health plans may offer additional coverage that is not readily available in the traditional Medicare program.22 In order to enroll in a private payer health plan, including commercial or Medicare Advantage, individuals of any income, age, or disability status either pay for the insurance coverage or the insurance coverage is paid through their employer. To limit patient identifiers, research teams using the Optum Clinformatics® Data Mart Database are allowed either the Date of Death or Socioeconomic Status table. Since the current study is part of a larger study that examined mortality, the Date of Death table was selected and some socioeconomic status information (i.e., income, education) were not available. Data are de-identified and the University of Michigan Institutional Review Board approved this study as non-regulated. The investigators (DGW and SB) have a data use agreement to analyze this database.

Participant Selection

The calendar year 2013 was used to identify eligible participants: adults ≥18 years of age without advanced CKD; continuous enrollment in a health plan; with ≥1 service utilization (to limit detection bias due to failure of CKD detection among persons who were not seen by a physician). The requirement for continuous enrollment in the full calendar year 2013 was to ascertain baseline chronic disease comorbidity data, as described below. Participants were then followed from 01/01/2014 to whichever of the following came first: incident advanced CKD; loss to follow-up; death; end of the study period, 12/31/207.

NDDs were identified using the International Classification of Diseases, Ninth Revision (ICD-9), Clinical Modification codes for intellectual disabilities (ICD-9: 317–319.x, 758.0–758.3x), cerebral palsy (ICD-9: 343.x, 333.71), or autism spectrum disorders (ICD-9: 299.x). The group of adults without NDDs included adults without any claims for these NDDs. Identifying individuals with pediatric-onset conditions using administrative claims data has shown 99% sensitivity and 79% positive predictive value.23

Outcome Measure

The outcome event was the occurrence of new advanced CKD from 01/01/2014 to 12/31/2017. Advanced CKD was defined in two steps. First, we used the methodology set forth by the United States Renal Data System for detecting ESRD within the Optum Clinformatics® Data Mart Database.1 Second, we added ICD-9 and ICD-10 codes (due to the change in reporting ICD-9 to ICD-10 codes on 10/01/2015) to identify new advanced CKD at stage 4 or later when first identified. Advanced CKD was identified as ICD codes for a diagnosis of CKD stages 4 (ICD-9: 585.4; ICD-10: N18.4) or 5 (ICD-9: 585.5; ICD-10: N18.5) or ESRD (ICD-9: 585.6; ICD-10: N18.6); procedure codes for dialysis in the outpatient setting; or a diagnosis-related group code for kidney transplant surgery (see Table 10.1 for procedure and diagnosis-related group codes in “CKD Analytical Methods” in reference[1]).24 Identifying advanced CKD using administrative claims data has shown up to 67% sensitivity, 95% specificity, and 76% to 97% positive predictive value.25,26

Covariates

Covariates in the administrative claims database include known and probable risk factors for CKD that may be associated with NDD in adults. Variables to denote sociodemographic status included age (as continuous), sex (women, men), race, and region of the country (West, Midwest, South, Northeast). Baseline comorbidities were identified using medical claims in the year 2013 (≥2 claims with first claim in 2013), and included hypertension (ICD-9: 401–405.x), diabetes (ICD9: 249.xx, 250.xx), ischemic heart disease (ICD-9: 410–414.x), heart failure (ICD-9: 402.01, 402.11, 402.91, 404.01, 404.03, 404.11, 404.13, 404.91, 404.93, 428.x), and cerebrovascular disease (ICD-9: 430–437.x), as previously described.24 Information pertaining to the severity of autism spectrum disorders and cerebral palsy is not available in administrative claims.

Statistical Analysis

Baseline descriptive characteristics were summarized for adults with and without NDDs. Incidence rates (IR) and 95% confidence intervals (CI) of advanced CKD were estimated for adults with NDDs and for adults without NDDs, and by the NDD subgroups, as the number of advanced CKD events divided by the number of person-years (expressed as per 1000/year). The IR 95% CI was estimated as (1000/n) (y ± (1.96 x square root of y), where y is the number of outcome events and n is the amount of person-years. Incidence rate ratios (IRR) and 95% CI were estimated using the group without NDDs as the reference. The IRR 95% CI was estimated as exp[ln(IR) ± 1.96(SD(ln(IR)))]. Consistent with our previous work delineating adverse health outcomes for these NDD populations,27 the NDD subgroups included adults with intellectual disabilities (ID only), cerebral palsy (CP only), autism spectrum disorders (ASD only), and multiple NDDs (any combination of the three subtypes).

Cox regression was used to adjust for covariates when comparing IR, by estimating hazard ratios (HR and 95% CI) of advanced CKD incidence, comparing each exposure group with the reference group. Three groups of covariates were used to explain the difference in crude rates between groups, as previously described:24 model 1 – age, sex, and US region; model 2 – group 1 covariates plus baseline hypertension and diabetes; and model 3 – group 2 covariates plus baseline ischemic heart disease, heart failure, and cerebrovascular disease. We examined for potential clinically relevant interactions between exposure status (NDD vs no NDD) with age and sex, which was assessed by performing separate analyses for age or sex strata (NDD effects) and including product terms in the Cox models (interactions).

Cox regression did not adjust for race to limit bias due to missing race data (~14%). We, therefore, conducted two related sensitivity analyses to assess possible confounding and selection bias, as previously described.24 Sensitivity analysis #1 involved the restricted study population with complete data on race but not adjusting for race; sensitivity analysis #2 involved the same study population in #1 but adjusted for race. Results were compared from sensitivity analyses #1 and #2 to assess possible confounding by race. Results were also compared from sensitivity analysis #1 and the main analysis (full study population not adjusting for race) to assess possible selection bias from exclusion of adults without race data.

Analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA).

Results

Baseline descriptive characteristics of adults with (n=33,561) and without (n=6,533,687) NDDs are presented in Table 1. Notably, adults with NDDs were 8.7 years younger on average and had a higher proportion of men (55.9% vs 45.5%). The race distribution, however, was similar for adults with and without NDDs.

Table 1

Baseline Descriptive Characteristics of Adults With and Without Neurodevelopmental Disabilities (NDDs)

	With NDDs (n=33,561)	Without NDDs (n=6,533,687)
	% (n)	% (n)
NDD characteristics
ID only	40.1 (13,466)
CP only	21.7 (7291)
ASD only	27.5 (9212)
Multiple NDDs	10.7 (3592)
Demographic characteristics
Age, mean (SD)	44.1 (20.5)	52.8 (18.9)
Sex
Women	44.1 (14,812)	54.5 (3,562,830)
Men	55.9 (18,749)	45.5 (2,970,857)
Race
White	64.4 (21,626)	64.2 (4,194,405)
Black	9.9 (3333)	7.8 (510,358)
Hispanic	8.1 (2733)	9.5 (621,366)
Asian	3.2 (1064)	4.3 (277,725)
Unknown/missing	14.3 (4805)	14.2 (929,833)
US region
West	23.8 (7996)	25.0 (1,634,488)
Midwest	26.4 (8842)	25.8 (1,686,053)
South	36.4 (12,219)	37.8 (2,468,408)
Northeast	13.4 (4504)	11.4 (744,738)
Chronic disease comorbidities
Hypertension	28.1 (9420)	31.1 (2,029,184)
Diabetes	14.4 (4832)	13.1 (855,747)
Ischemic heart disease	5.3 (1783)	6.4 (418,310)
Heart failure	3.4 (1148)	2.3 (147,606)
Cerebrovascular disease	3.6 (1221)	2.7 (179,188)

Abbreviations: SD, standard deviation; ID, intellectual disabilities; CP, cerebral palsy; ASD, autism spectrum disorders.

Incidence Rate of Advanced CKD

The crude IR was 6.24 (95% CI=6.20–6.28) for adults without NDDs and 8.27 (95% CI=7.70–8.84) for adults with NDDs (IRR=1.32; 95% CI=1.24–1.42) (Table 2). For the NDD subgroups and compared to adults without NDDs, the crude IR and IRR was greater for adults with ID only and CP only, lower for adults with ASD only, and little difference was observed for the group with multiple NDDs.

Table 2

Incidence Rate of Advanced Chronic Kidney Disease (CKD) Among Adults With and Without Neurodevelopmental Disabilities (NDDs)

	Advanced CKD Cases	Person-Years	Crude Incidence Rate	Incidence Rate Ratio (IRR)
	N	Years	N per 1000/Years (95% CI)	IRR (95% CI)
Without NDDs	108,015	1,7309,025	6.24 (6.20, 6.28)	Reference
With NDDs	812	98,222	8.27 (7.70, 8.84)	1.32 (1.24, 1.42)
ID only	426	39,394	10.81 (9.79, 11.84)	1.73 (1.58, 1.91)
CP only	241	21,137	11.40 (9.96, 12.84)	1.83 (1.61, 2.07)
ASD only	89	26,917	3.31 (2.62, 3.99)	0.53 (0.43, 0.65)
Multiple NDDs*	56	10,774	5.20 (3.84,6.56)	0.83 (0.64, 1.08)

Notes: *Multiple NDDs were grouped together due to insufficient sample size (N≤10) to obtain reliable point estimates and confidence intervals. Multiple NDD groups include: ID+CP; ID+ASD; CP+ASD; or ID+CP+ASD. Two separate models were constructed with the adults without NDDs as the reference: the entire sample with NDDs; and the NDD subgroups (e.g., ID only). Reference indicates that the group was set as the reference to derive the effect estimates for the other groups.

Abbreviations: IRR, incidence rate ratio; CI, confidence interval; ID, intellectual disabilities; CP, cerebral palsy; ASD, autism spectrum disorders.

Cox Regression Analysis of Advanced CKD

Adjusted HRs of advanced CKD comparing adults with and without NDDs are presented in Table 3. Compared to adults without NDDs, the HR (95% CI) adjusting for demographic variables (model 1) was 2.19 (2.04–2.34) for all adults with NDDs, 2.31 (2.10–2.54) for those with ID only, 2.04 (1.79–2.31) for CP only, 1.80 (1.46–2.21) for ASD only, and 2.93 (2.26–3.81) for multiple NDDs. All the HRs decreased slightly when adjusting further for hypertension and diabetes (model 2) and additionally for cardiovascular disease (model 3), but remained elevated compared to adults without NDDs. In Model 3, the adjusted HR for all NDDs vs no NDDs was 1.84 (1.72, 1.97).

Table 3

Risk of Advanced Chronic Kidney Disease (CKD) Among Adults with Neurodevelopmental Disabilities (NDDs) Compared to Adults Without NDDs

	Model 1	Model 2	Model 3
	HR (95% CI)	HR (95% CI)	HR (95% CI)
Without NDDs	Reference	Reference	Reference
With NDDs	2.19 (2.04, 2.34)	2.01 (1.87, 2.15)	1.84 (1.72, 1.97)
ID only	2.31 (2.10, 2.54)	2.05 (1.86, 2.25)	1.88 (1.71, 2.07)
CP only	2.04 (1.79, 2.31)	1.91 (1.68, 2.17)	1.72 (1.52, 1.95)
ASD only	1.80 (1.46, 2.21)	1.77 (1.44, 2.18)	1.68 (1.37, 2.07)
Multiple NDDs*	2.93 (2.26, 3.81)	2.71 (2.09, 3.53)	2.65 (2.04, 3.45)

Notes: *Multiple NDDs were grouped together due to insufficient sample size to obtain reliable point estimates and confidence intervals. Multiple NDD groups include: ID+CP; ID+ASD; CP+ASD; or ID+CP+ASD. Two separate models were constructed with the adults without NDDs as the reference: the entire sample with NDDs; and the NDD subgroups (e.g., ID only). Reference indicates that the group was set as the reference to derive the effect estimates for the other groups.

Abbreviations: HR, hazard ratio; CI, confidence interval; ID, intellectual disabilities; CP, cerebral palsy; ASD, autism spectrum disorders; Model 1, age, sex, and US region; Model 2, age, sex, US region, and baseline hypertension and diabetes; Model 3, age, sex, US region, and baseline hypertension, diabetes, ischemic heart disease, heart failure, and cerebrovascular disease.

Interactions of NDD Status with Age and Sex

Table 4 shows the IR, IRR, and HR of advanced CKD by age category (18–39, 40–64, and ≥65 years) and sex. Adults with NDDs had an elevated IR, IRR, and HR compared to adults without NDDs for each age category (P for interaction <0.001) and sex (P for interaction 0.121). The absolute difference in IR for NDD vs no NDD increased with the older age categories, but the IRR and adjusted HR for NDD vs no NDD decreased with older age categories.

Table 4

Incidence Rate and Hazard Ratio (HR) of Advanced Chronic Kidney Disease (CKD) Among Adults With and Without Neurodevelopmental Disabilities (NDDs) Stratified by Age and Sex

	Advanced CKD Cases	Crude Incidence Rate	Incidence Rate Ratio (IRR)	Model 1	Model 2	Model 3
	N	N per 1000/Years (95% CI)	IRR (95% CI)	HR (95% CI)	HR (95% CI)	HR (95% CI)
Age-stratified analysis
18–39 years
Without NDDs	1725	0.41 (0.39, 0.43)	Reference	Reference	Reference	Reference
With NDDs	74	1.68 (1.30, 2.07)	4.14 (3.28, 5.22)	4.99 (3.95, 6.31)	3.83 (3.03, 4.84)	3.74 (2.96, 4.74)
40–64 Years
Without NDDs	17,848	2.53 (2.49, 2.57)	Reference	Reference	Reference	Reference
With NDDs	273	7.62 (6.71, 8.52)	3.01 (2.67, 3.39)	3.00 (2.66, 3.38)	2.32 (2.06, 2.61)	2.09 (1.85, 2.36)
≥65 years
Without NDDs	88,442	14.71 (14.61, 14.80)	Reference	Reference	Reference	Reference
With NDDs	465	25.21 (22.92, 27.50)	1.71 (1.56, 1.88)	1.74 (1.59, 1.91)	1.65 (1.51, 1.81)	1.51 (1.38, 1.65)
Sex-stratified analysis
Women
Without NDDs	53,940	5.69 (5.64, 5.74)	Reference	Reference	Reference	Reference
With NDDs	359	8.30 (7.44, 9.16)	1.46 (1.31, 1.62)	2.09 (1.88, 2.31)	1.87 (1.68, 2.07)	1.70 (1.53, 1.88)
Men
Without NDDs	54,075	6.90 (6.85, 6.96)	Reference	Reference	Reference	Reference
With NDDs	453	8.24 (7.48, 9.00)	1.19 (1.09, 1.31)	2.27 (2.07, 2.49)	2.13 (1.94, 2.33)	1.97 (1.79, 2.16)

Note: Reference indicates that the group was set as the reference to derive the effect estimates for the other groups.

Abbreviations: IRR, incidence rate ratio; CI, confidence interval; Model 1, age (as continuous), sex (except for sex-stratified analyses), and US region; Model 2, model 1 variables and baseline hypertension and diabetes; Model 3, model 2 variables and baseline ischemic heart disease, heart failure, and cerebrovascular disease.

Sensitivity Analysis

The advanced CKD IR and IRR for adults with complete race data (n=5,632,610) is presented in Table 5. The advanced CKD HR for adults with complete race data is presented in Table 6. A comparison of HR estimates from sensitivity analysis #1 (i.e., a sample with complete data on race but not adjusting for race) and #2 (i.e., a sample with complete data on race and adjusting for race) show similar results, suggesting that race is not a confounder in the main analysis. A comparison of HR estimates from sensitivity analysis #1 with results from the main analysis shows similar results, suggesting no evidence of selection bias.

Table 5

Incidence Rate of Advanced Chronic Kidney Disease (CKD) Among Adults With and Without Neurodevelopmental Disabilities (NDDs) with Complete Data on Race

	Advanced CKD Cases	Person-Years	Crude Incidence Rate	Incidence Rate Ratio (IRR)
	N	Years	N per 1000/Years (95% CI)	IRR (95% CI)
Without NDDs	92,416	14,839,117	6.23 (6.19, 6.27)	Reference
With NDDs	691	84,115	8.21 (7.60, 8.83)	1.32 (1.22, 1.42)
ID only	360	33,564	10.73 (9.62, 11.83)	1.72 (1.55, 1.91)
CP only	202	18,066	11.18 (9.64, 12.72)	1.80 (1.56, 2.06)
ASD only	79	23,147	3.41 (2.66, 4.17)	0.55 (0.44, 0.68)
Multiple NDDs*	50	9338	5.35 (3.87, 6.84)	0.86 (0.65, 1.13)

Notes: *Multiple NDDs were grouped together due to insufficient sample size to obtain reliable point estimates and confidence intervals. Multiple NDD groups include: ID+CP; ID+ASD; CP+ASD; or ID+CP+ASD. Two separate models were constructed with the adults without NDDs as the reference: the entire sample with NDDs; and the NDD subgroups (e.g., ID only). Reference indicates that the group was set as the reference to derive the effect estimates for the other groups.

Abbreviations: IRR, incidence rate ratio; CI, confidence interval; ID, intellectual disabilities; CP, cerebral palsy; ASD, autism spectrum disorders.

Table 6

Risk of Advanced Chronic Kidney Disease (CKD) Among Adults with Neurodevelopmental Disabilities (NDDs) Compared to Adults Without NDDs with Complete Data on Race

	Model 1	Model 1 + Race	Model 2	Model 2 + Race	Model 3	Model 3 + Race
	HR (95% CI)	HR (95% CI)	HR (95% CI)	HR (95% CI)	HR (95% CI)	HR (95% CI)
Without NDDs	Reference	Reference	Reference	Reference	Reference	Reference
With NDDs	2.19 (2.04, 2.36)	2.14 (1.98, 2.30)	2.02 (1.88, 2.18)	1.98 (1.84, 2.14)	1.86 (1.73, 2.00)	1.83 (1.69, 1.97)
ID only	2.29 (2.07, 2.54)	2.20 (1.99, 2.44)	2.05 (1.85, 2.27)	1.99 (1.80, 2.21)	1.88 (1.70, 2.09)	1.84 (1.66, 2.04)
CP only	2.01 (1.75, 2.31)	1.98 (1.73, 2.28)	1.90 (1.66, 2.18)	1.87 (1.63, 2.15)	1.71 (1.49, 1.96)	1.68 (1.47, 1.93)
ASD only	1.92 (1.54, 2.40)	1.93 (1.55, 2.40)	1.90 (1.52, 2.37)	1.89 (1.52, 2.36)	1.80 (1.45, 2.25)	1.80 (1.44, 2.24)
Multiple NDDs*	3.05 (2.31, 4.02)	2.96 (2.24, 3.90)	2.83 (2.14, 3.73)	2.77 (2.10, 3.66)	2.79 (2.12, 3.69)	2.75 (2.09, 3.63)

Notes: *Multiple NDDs were grouped together due to insufficient sample size to obtain reliable point estimates and confidence intervals. Multiple NDD groups include: ID+CP; ID+ASD; CP+ASD; or ID+CP+ASD. Reference indicates that the group was set as the reference to derive the effect estimates for the other groups.

Abbreviations: HR, hazard ratio; CI, confidence interval; ID, intellectual disabilities; CP, cerebral palsy; ASD, autism spectrum disorders; Model 1, age, sex, and US region. Model 2, age, sex, US region, and baseline hypertension and diabetes; Model 3, age, sex, US region, and baseline hypertension, diabetes, ischemic heart disease, heart failure, and cerebrovascular disease.

Discussion

The main finding of the current investigation is that privately insured adults in the United States with NDDs had higher IRs of advanced CKD in a recent 4-year period than did adults without NDDs. Although the relative rate in NDD vs no NDD decreased slightly when adjusting for demographic and clinical risk factors—suggesting those covariates partially explained the higher rate in adults with NDDs—the overall IR remained more than 80% higher in the entire NDD group.

These new findings are of great public health concern. The burden on the patient (e.g., dialysis ~4 hrs per day, 3 days per week once the patient reaches ESRD) and societal costs of advanced CKD are extremely high.1 In the current study, we found that the entire sample of adults with NDDs, ID only, and CP only had higher crude IR of advanced CKD compared to adults without NDDs, while ASD only and multiple NDD subgroups had similar or lower crude IR. However, since individuals with NDDs develop chronic conditions younger than expected and the NDD population in our claims-based sample is younger than the non-NDD population, age adjustment is needed. After adjusting for age and other relevant demographic variables, the rate of advanced CKD was greater and increased from the unadjusted analysis (i.e., IRR) for all NDD groups. The demographic adjusted analysis also revealed that the ASD-only group and multiple NDD group are indeed at a greater relative risk of advanced CKD with 80% and 193% higher rates, respectively, compared to adults without NDDs. Although it is important to note that adults with autism spectrum disorders in this study were considerably younger (mean age [SD] = 36.5 [17.3]) than adults with intellectual disabilities (50.5 [18.4]) and cerebral palsy (52.2 [19.5]). The large difference in age may be attributed to poor identification and under-diagnosis of the condition previously. There is an increasing trend in prevalence and diagnosis of autism spectrum disorders28 that may be in response to better awareness and clinical assessment and changes in clinical diagnostic modalities. The younger age may affect interpretations for ASD only and the multiple NDD groups, as average age was relatively low for the multiple NDD group (36.5 [17.3]). Further, model diagnostics confirmed that age influenced the findings for these groups.

When we further adjusted for hypertension and diabetes, and then cardiovascular disease, which are known risk factors for CKD, the elevated rate of advanced CKD reduced for all NDD groups, but still remained elevated for the entire sample of adults with NDD and for each NDD subgroup. These findings suggest that although adults with NDDs have a greater risk of advanced CKD compared to adults without NDDs beyond the presence of these chronic conditions, prevalent cardiometabolic diseases (i.e., hypertension, diabetes, and cardiovascular disease) do account for a considerable portion of the elevated advanced CKD risk among adults with NDDs. Further work is required to identify how much of the risk of advanced CKD can be attenuated by preventing or better managing cardiometabolic diseases among adults with NDDs.

When we stratified analyses by age to reflect the different stages of adulthood, we found that adults with NDDs had a greater rate of advanced CKD compared to adults without NDDs across all age strata. The magnitude of the difference in the absolute rate increased with older age categories, but the magnitude of relative rate was greater for younger than middle-aged and older adults, and even greater for middle-aged than older adults. As we found little evidence of an interaction between sex and NDD status, findings may suggest that both men and women with NDDs have greater rates of advanced CKD across the age spectrum. When planning treatment strategies to prevent CKD onset or slow CKD progression to advanced stages for adults with NDDs, earlier age for intervention may be required.

The greater advanced CKD rate among adults with NDDs is likely driven, in part, by their unhealthful aging process and greater chronic disease risk,13–16 which is associated with CKD. In addition, because of their complex medical profiles, adults with NDDs are typically taking several medications, which is associated with greater emergency room and hospital utilization29 likely due to unknown adverse drug reactions. For example, chronic pain is highly prevalent for individuals with NDDs.30,31 Common pain medications, including nonsteroidal anti-inflammatory drugs, are recognized as nephrotoxic agents. As the kidneys are involved in filtering the blood, a complex physiological environment due to various classes of medications, concomitant with unique drug–drug interactions, could lead to unintended renal toxicity and organ damage. Furthermore, individuals with NDDs may be at greater risk for acute kidney injury, which is a robust risk factor for mortality for children with cerebral palsy32 and is associated with a large decline in kidney function for both adutls33 and children34 without NDDs. Further work in the field is needed to determine the contribution of kidney-related problems experienced in childhood to CKD risk in the adult years for the population with NDDs.

The advanced CKD incident rates found in this study may be under-reporting the magnitude of the issue for the adult populations with NDDs, especially for the NDD subgroups. The current study used a private insurance database that likely represents healthier and higher functioning segments of the NDD populations.31 We have previously shown that while 18- to 64-year-old adults with NDDs had higher prevalence of CKD at stages I–V and several other high-burden conditions as compared to adults without NDDs of the same age range (4.3% vs 1.9%), the prevalence of these high-burden conditions was, in general, higher for adults with NDDs that had public insurance as compared to adults with NDDs that had private insurance.31 In support, this study observed that the prevalence of multiple NDDs among those with any NDD, which complicates the health needs of the individual, was only 10.7%, which is lower than expected based on other population-based studies.35,36

The limitations of this study must be noted. First, administrative claims data to detect medically diagnosed conditions is limited. It is not known if “detection bias” differs by the presence of NDDs. For example, adults with NDDs use healthcare services more than adults without NDDs, which allows for additional opportunities for medical conditions (e.g., advanced CKD) to be identified and reported on a claim. However, in general, adults with physical disabilities, including NDDs, are less likely to be adequately screened for chronic medical conditions or given a comprehensive medical examination.37 This could prevent opportunities for medical conditions (e.g., advanced CKD) to be identified and therefore reported on a claim. Further, using claims data to identify incidence of advanced CKD and associated risk factors is limited between groups, as there is either no information or inconsistently reported information on weight status (e.g., body mass index), blood pressure values, and many other health conditions and socioeconomic indicators that may influence the association between NDDs and advanced CKD. Second, as this sample may reflect a healthier segment of the greater NDD population, it is possible that the incidence of advanced CKD is a larger public health issue than what the current study was able to capture. Third, we were not able to reliably determine the severity of NDDs. Fourth, we did not have access to data regarding medications (e.g., NSAIDs, psychotropics). A recent study has shown that adults >50 years of age with intellectual disabilities have an elevated prevalence of polypharmacy, which is a risk factor for mortality for this population.38 Further work in the field is needed to examine the extent that medications, and specifically medications that induce nephrotoxicity, associate with the elevated CKD burden for these NDD populations.

Conclusion

Adults with NDDs that have private insurance have higher IRs of advanced CKD as compared to the general population of adults. Although demographic and clinical factors partially explained the difference in rates, appreciable differences remained after adjustment for those factors. Future studies are needed to identify risk factors for CKD progression in adults with NDDs and to develop intervention strategies to prevent CKD onset, progression, and end-stage renal disease.