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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: J Am Acad Child Adolesc Psychiatry. 2016 Mar 7;55(5):415–423. doi: 10.1016/j.jaac.2016.02.016

Weight Gain and Metabolic Consequences of Risperidone in Young Children With Autism Spectrum Disorder

Lawrence Scahill 1, Sangchoon Jeon 2, Susan J Boorin 3, Christopher J McDougle 4, Michael G Aman 5, James Dziura 6, James T McCracken 7, Sonia Caprio 8, L Eugene Arnold 9, Ginger Nicol 10, Yanhong Deng 11, Saankari A Challa 12, Benedetto Vitiello 13
PMCID: PMC4851735  NIHMSID: NIHMS766446  PMID: 27126856

Abstract

Objective

We examine weight gain and metabolic consequences of risperidone monotherapy in children with autism spectrum disorder (ASD).

Method

This was a 24-week, multisite, randomized trial of risperidone only versus risperidone plus parent training in 124 children (mean age 6.9 ± 2.35 years; 105 boys, 19 girls) with ASD and serious behavioral problems. We monitored height, weight, waist circumference, and adverse effects during the trial. Fasting blood samples were obtained pretreatment and at Week 16.

Results

In 97 patients with a mean of 22.9 ± 2.8 weeks risperidone exposure, there was a 5.4 ± 3.4 kg weight gain over 24 weeks (p < .0001); waist circumference increased from 60.7 ± 10.4 cm to 66.8 ± 11.3 cm (p <. 0001). At baseline 60.8% (59 of 97) patients were classified as having normal weight; by Week 24, only 29.4% (25 of 85) remained in that group. Growth curve analysis showed a significant change in body mass index (BMI) z-scores from pretreatment to Week 24 (p<.0001). This effect was significantly greater for patients with reported increased appetite in the first 8 weeks. From pretreatment to Week 16, there were significant increases in glucose (p=.02), hemoglobin A1c (p=.01), insulin (p <.0001), homeostatic model assessment–insulin resistance (HOMA-IR; p< .001), alanine aminotransferase (p=.01), and leptin (p < .0001). Adiponectin declined (p =.003). At baseline, 7 patients met conventional criteria for metabolic syndrome; by Week 16, 12 additional patients were so classified.

Conclusion

Rapid weight gain with risperidone treatment may promote the cascade of biochemical indices associated with insulin resistance and metabolic syndrome. Appetite, weight, waist circumference, liver function tests, blood lipids, and glucose warrant monitoring.

Clinical trial registration information

Drug and Behavioral Therapy for Children With Pervasive Developmental Disorders; http://clinicaltrials.gov/; NCT00080145

Keywords: autism spectrum disorder, risperidone, weight gain, metabolic syndrome, insulin resistance

INTRODUCTION

Risperidone is approved for treating irritability in children with DSM-IV-defined autistic disorder.1,2,3 In addition, risperidone has also demonstrated stable reductions in serious behavioral problems for up to six months with rapid return of symptoms with gradual discontinuation of treatment.4,5 Although there is variability across pediatric patients, exposure to risperidone may cause weight gain and adverse metabolic consequences.69 Weight gain and increased visceral adipose tissue may herald the emergence of insulin resistance and the metabolic syndrome.10,11 The metabolic syndrome is a cluster of clinical indices including increased waist circumference, elevated glucose and triglyceride, reduced high-density cholesterol, and hypertension.12 These alterations increase the risk of non-alcoholic fatty liver disease, type 2 diabetes, and cardiovascular disease.13,14 Weight gain with accumulation of visceral adipose tissue also affects the release of adiponectin and leptin. These cytokines are two of several secreted by adipocytes that play a role in glucose regulation, lipid metabolism, inflammation, and insulin sensitivity. 11,15 Adiponectin declines in obesity, which may contribute to insulin resistance and metabolic syndrome.15,16 Lower levels of adiponectin are also associated with elevations in the inflammatory biomarker C-reactive protein.15 Leptin, which plays a role in appetite regulation and energy expenditure, tends to increase with weight gain.17

Several studies have documented weight gain with olanzapine, risperidone, and aripiprazole in children, but few have examined the range of metabolic changes in risperidone-treated children with ASD.18 In this study, we monitored weight, waist circumference, and body mass index (BMI), as well as lipids, hepatic transaminases, insulin, adiponectin, leptin, glucose, the homeostatic model assessment of insulin resistance (HOMA-IR), and glycosylated hemoglobin (HgA1c) in children with ASD treated with risperidone for up to six months. The patients were participants in the Research Units on Pediatric Psychopharmacology (RUPP) Autism Network trial of risperidone alone versus risperidone plus parent training.19,20

METHOD

Design

The study design and primary results have been reported elsewhere.19,20 Briefly, 124 medication-free children were randomly assigned to medication plus parent training (n=75) or medication only (n=49) for 24 weeks. The unbalanced randomization was based on the assumption that parents would prefer combined treatment. Patients were seen weekly for the first 8 weeks, then monthly until Week 24. Blood pressure, pulse, height, and weight were measured at each visit. Adverse events were also systematically reviewed and documented at each visit. A fasting blood sample was collected at the pretreatment screening visit and Week 16. We repeated the blood sample at Week 16 to reduce subject assessment burden at the detailed endpoint visit.

During the acute phase (first 8 weeks), two treatment-blinded clinicians followed each patient: an independent evaluator who monitored therapeutic response and a treating clinician who adjusted the risperidone dose and monitored adverse effects. After Week 8, the treating clinician could consult with the behavior therapist for urgent clinical matters. The independent evaluator remained blinded for the entire study. The weight-based, twice-daily risperidone dose was gradually increased over the first four weeks. For children weighing 14 to 20 kg, the maximum dose was 1.75 mg/day. Children weighing between > 20 and ≤ 45 kg had a maximum dose of 2.5 mg/day. For children weighing > 45 kg, the maximum dose was 3.5 mg/day. At each visit, the treating clinician reviewed health complaints and changes in activity level, sleep, and appetite. The treating clinician could delay a dose increase or reduce the dose to manage suspected adverse effects. The protocol allowed patients who did not meet positive response criteria (see below) at Week 8 to switch to aripiprazole. These patients were no longer informative for evaluating the weight and metabolic effects of risperidone and were excluded from analyses.

Setting and Sample

The institutional review board at each site (Indiana University, Ohio State University, and Yale University) approved the study. After obtaining informed consent from parents, patients received the same comprehensive assessment at each site. Eligible patients were between 4 and 14 years of age, healthy, and medication-free (two weeks for most psychotropic medications, four weeks for fluoxetine or antipsychotic medications; anticonvulsants for seizures were allowed if the dose was stable and the patient was seizure-free for 6 months). Children with > 2 weeks exposure to risperidone at ≥ 1.5 mg/day were excluded. Entry requirements also included IQ ≥ 35, DSM-IV diagnosis of autism spectrum disorder (ASD; autistic disorder, Asperger’s disorder or pervasive developmental disorder – not otherwise specified [PDD-NOS]), serious behavioral problems (≥ 18 on the parent-rated Aberrant Behavior Checklist-Irritability subscale) and at least moderate on the Clinical Global Impression - Severity scale (see below).

Measures in This Report

Aberrant Behavior Checklist (ABC ).21,22

The ABC is a 58-item parent rating, scored from 0 to 3 with five factors: Irritability, Social Withdrawal, Stereotypy, Hyperactivity, and Inappropriate Speech. The 15-item Irritability subscale includes items on tantrums, aggression, and self-injury.

Vineland Adaptive Behavior Scales (Vineland).23

The Vineland is a parent interview that provides standard scores (100 ± 15 adjusted for age and gender) for Communication, Socialization, and Daily Living.

Autism Diagnostic Interview-Revised (ADI-R).24

The ADI-R is a semi-structured parent interview used to support the diagnosis of ASD.

Tanner Stage of Sexual Maturation.25

Tanner staging was assigned at the pretreatment physical examination. The randomization was stratified by Tanner stage < 3 versus ≥ 3.

Height and Weight Collection

Height and weight were collected at baseline and monthly during the study. BMI was calculated as [weight (kg) / height (m2)]. We used BMI norms from the Centers for Disease Control to define normal weight (< 85th percentile), overweight (≥ 85th to < 95th percentile), and obese (≥ 95th percentile).26 BMI z-scores were used to track change in weight over time. Site clinical teams conferred with parents regarding continued risperidone treatment for any child who gained 20% of body weight over baseline and exceeded 95th percentile for weight for age and gender.

Blood Pressure

Sitting blood pressure was obtained manually at baseline and each follow up visit. Blood pressure percentiles were based on age, gender, and height.27

Waist Circumference

Waist circumference (WC) was used to estimate visceral adipose tissue. Increased visceral adipose tissue is strongly associated with the adverse metabolic and cardiovascular effects of obesity. WC was measured monthly with a tape measure placed directly over the umbilicus. The values, inches rounded to the nearest quarter inch, were converted to centimeters to permit comparison to normative data for age and gender.28

Biochemical Measurements

Fasting laboratory tests: glucose, glycosylated hemoglobin (HbA1c), liver enzymes, and lipids were analyzed in a certified laboratory at each center. Archived fasting samples for adiponectin, insulin, and leptin levels collected at baseline and Week 16 were analyzed in duplicate at the General Clinical Research Center at Yale University using Linco radioimmunoassays.

Derived Measures

The triglyceride/ high-density lipoprotein (HDL) ratio was used as a marker of cardiometabolic risk.29 A triglyceride/HDL ratio ≥ 2.0 in children is associated with insulin resistance and cardiometabolic abnormalities.30 Insulin resistance was estimated using homeostatic model assessment of insulin resistance (HOMA-IR): HOMA-R = Gb × Ib/k (Gb is the fasting glucose concentration, Ib is the fasting insulin concentration, and k (405) is a constant).31

Analytic Plan

Patients who dropped out before Week 14 (n=15) and patients who switched to aripiprazole at Week 8 (n=12) were censored. Baseline characteristics of the available sample were evaluated using frequency counts, means, and medians. We evaluated changes in weight, BMI, and waist circumference from baseline to Week 24 by paired t-test. Second, using generalized mixed effect model with autoregressive covariance structure within-subject correlation, we conducted growth curve analysis with BMI z-scores to examine the trend of weight gain from baseline to Week 24 for the entire sample. Using growth curve analysis, we also explored the impact of age (median split at age 7) and the effect of increased appetite on BMI z-scores. Third, we tracked change in weight classification (normal weight, overweight, or obese) from baseline to Week 24.26 Fourth, change in pretreatment and Week 16 values for glucose, liver enzymes (alanine aminotransferase [ALT] and aspartate aminotransferase [AST]), cholesterol, triglyceride, adiponectin, leptin, insulin, triglyceride/HDL ratio, HOMA-IR, and Hgb A1c were compared by paired t-test.

To evaluate metabolic status by BMI category (normal, overweight, obese), we compared the number of patients in each group that exceeded thresholds for metabolic syndrome (adjusted for age, gender, and height as needed) at baseline and Week 16. The specific thresholds included: systolic or diastolic blood pressure ≥ 90th percentile, waist circumference ≥ 90th percentile, triglyceride level ≥ 90th percentile, HDL cholesterol ≤ 10th percentile, and glucose ≥ 100 mg/dL. 27,28,32,33 The proportion of patients exceeding the threshold for metabolic syndrome between baseline and Week 16 was examined with McNemar’s test for paired samples.

To explore the consequences of the metabolic syndrome (pre-existing and new cases) at Week 16, we compared insulin, HOMA-IR, liver enzymes, HbA1c, triglyceride/HDL ratio, adiponectin, leptin, and waist circumference for cases of metabolic syndrome and non-cases using a nonparametric (Wilcoxon Rank Sum) test. All analyses were done using SAS 9.1. Given that this report is focused on safety, p values <.05 without correction for multiple tests were considered statistically significant.

RESULTS

The full study sample at baseline (n=124) included 105 boys and 19 girls (mean age 6.9 ± 2.35 years). Twenty seven participants dropped out before Week 14 (n=15) or switched to aripiprazole (n=12) at Week 8 per protocol. As shown in Table 1, there were no differences in the proportion of males, participants with IQ below 70, or participants below Tanner 3 in these 27 individuals compared to the 97 in this report. Similarly, there were no significant group differences in the mean age, mean scores on the Aberrant Behavior Checklist-Irritability subscale, or Vineland domains.

Table 1.

Baseline Demographic and Clinical Characteristics of Children With Autism Spectrum Disorder (ASD) in a Randomized Trial of Risperidone Only Versus Risperidone Plus Parent Training

Full sample (N=124)
n (%)
Participants included in analysis (n=97)
n (%)
Participants not included (n=27)a
n (%)
Age (years)
 4–6 63 (50.8) 48 (49.5) 15 (55.6)
 7–10 50 (40.3) 39 (40.2) 11 (40.7)
 11–13 11 (8.9) 10 (10.3) 1 (3.7)

Tanner stage < 3 119 (96.0) 92 (94.8) 27 (100)

Tanner stage ≥ 3 5 (4.0) 5 (6.2) 0

Diagnosis
 Autistic disorder 81 (65.3) 64 (66.0) 17 (63.0)
 Asperger’s disorder 8 (6.4) 7 (7.2) 1 (3.7)
 PDD-NOS 35 (28.2) 26 (26.8) 9 (33.3)

Race
 White/non-Hispanic 93 (75.0) 75 (77.3) 18 (66.7)
 Hispanic 9 (7.3) 7 (7.2) 2 (7.4)
 African-American 18 (14.5) 13 (13.4) 5 (18.5)
 Asian 2 (2.4) 2 (2.1) 1 (3.7)
 Native American 1 (0.8) 0 (0) 1 (3.7)

IQ < 70b 53(42.7) 43 (44.3) 10 (40.0)
IQ ≥ 70 69 (55.6) 54 (55.7) 15 (60.0)

Clinical Global Impression-Severity
 Moderate 39 (31.5) 26 (26.8) 13 (48.2)
 Marked 52 (41.9) 46 (47.4) 6 (22.2)
 Severe 32 (25.8) 24 (24.7) 8 (29.6)
 Extreme 1 (0.8) 1 (1.0) 0 (0)

Mean [95% CI] Mean [95% CI] Mean [95% CI]

Vineland Adaptive Scales
 Communication 59.2 [54.5, 64.0] 59.0 [54.0. 63.9] 61.1 [42.6, 79.6]
 Daily living 45.3 [41.4, 49.2] 44.9 [40.6, 49.3] 46.6 [37.1, 56.0]
 Socialization 62.3 [58.4, 66.3] 62.5 [58.3, 66.8] 60.8 [48.2, 73.4]

Aberrant Behavior Checklist
 Irritability 29.5 [28.3, 30.7] 29.5 [28.2, 30.8] 29.5 [26.6, 32.3]
 Social withdrawal 15.9 [14.4, 17.5] 15.7 [13.9, 17.5] 16.8 [13.5, 20.0]
 Hyperactivity 35.6 [34.1, 37.1] 35.3 [33.6, 37.1] 36.7 [33.6, 39.8]
 Stereotypy 8.8 [7.8, 9.7] 9.2 [8.1, 10.3] 7.2 [5.1, 9.2]
 Inappropriate speech 6.0 [5.3, 6.6] 6.2 [5.5, 7.0] 5.1 [3.7, 6.6]

Note: PDD-NOS = pervasive developmental disorder not otherwise specified.

a

15 participants dropped out before week 14; 12 participants switched to aripiprazole at week 8.

b

IQ missing for two participants.

In the 97 participants followed for at least 14 weeks (mean exposure 22.9 ± 2.8 weeks), there were no differences by randomized treatment group (n=41 risperidone alone; n=56 risperidone plus parent training) in baseline weight, waist circumference, or BMI percentile. Moreover, there were no group differences in weight gain, change in waist circumference, or BMI percentile. At Week 4 (end of the dose adjustment phase), there was a small, but statistically significant, difference in the mean dose for combined treatment (1.80 ± 0.55 mg/day) compared to risperidone only (1.92 ± 0.70 mg/day [p=.04]). Of the 97 participants, 43 were medication naïve; another 6 had less than one month treatment with any psychotropic medication. The remaining 48 were taking medications from various classes (e.g., antidepressants, antipsychotics, or stimulants) deemed ineffective by parents. Subsequent analyses proceeded without adjustment for treatment group or prior exposure.

Change in Weight, Waist Circumference and BMI Category From Baseline to Week 24

The average weight gain was 2.5± 1.6 kg at Week 8; 4.2 ± 2.8 kg at Week 16; and 5.4 ± 3.4 kg at Week 24. Waist circumference increased from 60.7 ± 10.4 centimeters at baseline to 66.8 ± 11.3 centimeters at Week 24 (p < .0001), suggesting increase in visceral adipose tissue (see Table 2).

Table 2.

Weight, Waist Circumference, and Body Mass Index (BMI) at Baseline and Week 24

Baseline Mean (SD) [95% CI] Week 24 Mean (SD) [95% CI]

Measure Baseline
n = 97
Week 24
n = 87
Mean Change [95% CI] p Valuea

Weight (kg) 29.3 (11.5) [27.0, 31.7] 34.0 (12.6) [31.3, 36.8] 5.3 (3.4) [4.6, 6.1] <. 0001

Waist circumference (cm) 60.7 (10.4) [58.7, 63.0] 66.8 (11.3) [64.5, 69.3] 6.1 (5.18) [5.1, 7.4] <.0001

BMI Z-scoreb 0.69 (1.13) [0.46, 0.91] 1.43 (0.94) [1.23, 1.63] 0.76c [0.62, 0.89] <.0001
Systolic BP 103.5 (11.5) [101.1,105.9] 105.4 (9.9) [103.2,107.6] 2.58 (12.49) [−0.25, 5.42] .07
Diastolic BP 66.9 (7.9) [65.3, 68.6] 66.1 (8.4) [64.3, 67.9] −0.61 (8.88) [−2.63, 1.40] .55
Pulse 95.4 (15.1) [92.3, 98.6] 99.5 (13.8) [96.5, 102.5] 4.19 (14.5) [0.93, 7.45] .01

Note: BP = blood pressure.

a

p value from two-sided paired-t test.

b

n = 85, two participants had missing height at week 24.

c

Difference baseline to end point; difference presented in Figure 2 is from the mixed model.

At baseline, 60.8% (59 of 97) had a BMI-for-age < 85th percentile; 20.6% (n=20) were overweight (BMI-for-age ≥ 85th percentile and ≤ 95th percentile); 18.6% (n=18) were obese (BMI-for-age > 95th percentile). Figure 1 shows the change in status for each BMI group at baseline (normal, overweight, or obese) across time. Of the 85 participants with complete height and weight data at Week 24, 29.4% were in the BMI normal weight group (24 from the normal weight group at baseline and one from the overweight group at baseline). By Week 24, the number of children in the obese category increased from 18 to 35. During the trial, 20 children gained 20% of weight over baseline and exceeded the 95th percentile for weight. Following discussion with parents, one of these 20 children and one other child exited the study due to weight gain.

Figure 1.

Figure 1

Change in age and gender-adjusted weight categories across time. Note: Centers for Disease Control and prevention body mass index (BMI) reference ranges: Normal ≤ 85th percentile; Overweight ≥ 85th percentile to < 95th percentile; Obese ≥ 95th percentile.26 n=97 at baseline; 94 at Week 8; 95 at Week 16; 85 at Week 24. Of 59 participants with normal weight at baseline, 24 remained in normal weight at endpoint, 21 became overweight, 7 became obese; 7 were missing at Week 24. Of the 20 participants overweight at baseline, 1 was in normal weight; 3 remained overweight, 14 became obese; 2 were missing at Week 24. Of the 18 participants obese at baseline, 1 was overweight and 14 remained obese, 3 were missing.

Growth curve analysis of BMI z-scores showed a rapid rise in the first 12 weeks with leveling off after Week 16. Figure 2a shows the significant change in BMI z-scores from 0.69 to 1.43 (0.74±0.064, p< .0001) over time. Figure 2b displays the change in BMI z-scores for 75 participants with reported increase in appetite in the first 8 weeks of treatment compared to 22 participants without such reports. Increased appetite early in treatment predicted weight gain and higher BMI z-scores over time (p=.01). Dividing the sample at the median (≥ 7, n=49), younger children (< 7, n=48) showed a more rapid rise in BMI z-score (p=.009; Figure 2c). Compared to children with IQ ≥ 70 (n=54), there was no difference in BMI z-scores over time for those with IQ < 70 (n=43) (p=.13).

Figure 2.

Figure 2

A. Predictive growth curve of body mass index (BMI) z-score with 95% CI from mixed effect model with autoregressive correlation matrix on age–gender-adjusted BMI z-scores from 2000 Centers for Disease Control and Prevention (CDC) growth charts and CDC SAS code (http://www.cdc.gov/nccdphp/dnpao/growthcharts/resources/gc-calculate-BIV.sas). Note: The differences in BMI z-score from baseline are 0.71 (95% CI=[0.605, 0.808], p<.0001) and 0.74 (95% CI=[0.613, 0.866], p<.0001) at Weeks 16 and 24, respectively. B. Predicted growth curves of BMI z-score for participants with reported increase in appetite in the first 8 weeks (n=75) compared to those with no reported change in appetite (n=22). C. Predictive growth curves in children ≥ 7 years (n=49) and < 7 years (n=48).

Change in Biochemical Indices

As noted, 15 participants exited before Week 14, and12 participants switched to aripiprazole at Week 8. Biochemical data were also missing due to non-fasting, insufficient, or hemolyzed samples. Thus, the sample size varied slightly across biochemical tests. Table 3 presents results on several biochemical indices collected pretreatment and at Week 16.

Table 3.

Glucose, HbA1c, Insulin, Homeostatic Model Assessment–Insulin Resistance (HOMA-IR), Adiponectin, Leptin Levels, Lipid Levels at Pretreatment and Week 16a

Baseline nb, Mean (SD) [95% CI] Week 16 nb, Mean (SD) [95% CI] Difference nb, Mean (SD) [95% CI] p Valuec
Glucose mg/dL 84, 83.14 (11.68) [80.61, 85.68] 88, 85.92 (10.94) [83.60, 88.24] 77, 3.52 (12.87) [0.60, 6.44] .0189
Hemoglobin A1c 94, 5.24 (0.34) [5.18, 5.31] 84, 5.31 (0.33) [5.24, 5.38] 83, 0.07 (0.27) [0.02, 0.13] .0146
Insulin μU/ml 64, 7.19 (4.35) [6.10, 8.27] 73, 10.14 (6.22) [8.69, 11.59] 62, 2.98 (5.61) [1.55, 4.40] <.0001
HOMA-R 64, 1.52 (0.97) [1.28,1.76] 69, 2.13 (1.38) [1.80,2.46] 59,0.63 (1.32) [0.29, 0.98] .0005
Leptin ng/ml 68, 3.41 (3.73) [2.51, 4.32] 75, 5.45 (5.12) [4.28, 6.63] 66, 2.15 (4.14) [1.13, 3.17] <.0001
Adiponectin ug/ml 68, 17.47 (7.87) [15.56,19.37] 75, 15.54 (6.87) [13.96, 17.12] 66, −1.85 (4.80) [−3.03, −0.67] .0027
Total cholesterol mg/dL 84, 154.6 (24.0) [149.4, 159.8] 83, 155.6 (24.1) [148.2, 163.1] 73, −2.36 (26.60) [−8.56, 3.85] .4516
LDL cholesterol mg/dL 84, 89.0 (22.4) [84.1,93.9] 83, 92.4 (26.5) [86.6, 98.2] 73, 0.56 (15.80) [−3.12, 4.25] .7622
HDL cholesterol mg/dL 95, 52.6 (15.0) [49.6, 55.7] 83, 52.2 (15.0) [48.9, 55.5] 81, −0.84 (8.46) [−2.71, 1.03] .3743
Triglycerides mg/dL 84, 61.7 (29.7) [55.3, 68.2] 83, 65.3 (39.2) [56.8, 73.9] 73, 4.73 (31.37) [−2.59, 12.04] .2021
Triglyceride/HDL ratio 84, 1.29 (0.76) [1.12, 1.45] 83, 1.42 (1.07) [1.19, 1.66] 73, 0.17 (0.81) [−0.02, 0.36] .08
Alanine Aminotransferase mg/dL (ALT) 86, 17.8 (6.8) [16.3,19.3] 88, 20.7 (11.2) [18.3, 23.1] 79, 2.77 (9.64) [0.61, 4.93] .01

Note: HDL = high-density lipoprotein; LDL = low-density lipoprotein.

a

Fasting samples.

b

Changes in sample sizes due to missing data.

c

Differences and p-value from two-sided paired-t test

Although significant, the increases in mean glucose and HbA1c were modest. The number of children with a baseline glucose ≥ 100 mg/dL almost tripled from 4.8% (n=4) at baseline to 12.5% (n=11) at Week 16. There were significant increases in insulin, HOMA–IR, and leptin and a significant decrease in adiponectin. There were no significant mean changes for any blood lipids. ALT level increased from 17.8 mg/dL ± 6.8 to 20.7 ± 11.3 (p=.01), but there was no change in AST level (p = .42).

We used HOMA-IR (≥ 1.58), HbA1C (≥ 5.5), and ALT (> 35 mg/dL) as thresholds. At baseline, 40.6% of participants exceeded HOMA-IR, 25.5% HbA1C, and 3.5% ALT. At Week 16, 55.1%, 38.1%, and 6.8% of participants exceeded these thresholds, respectively. McNemar’s test for matched pairs showed no difference for ALT. However, significantly more participants exceeded threshold for HOMA-IR (χ2 =4.76, p=.03) and HbA1c (χ2 =6.54, p=.01) at Week 16 than at baseline.

Table 4 provides counts of participants who met or exceeded biomarkers of metabolic syndrome at pretreatment and Week 16. At baseline 7 (8.4%) children met conventional criteria for metabolic syndrome (positive on 3 of 5 indices) compared to 19 (22.6%) at Week 16 (McNemar’s test χ2=8.00, p=.005). At Week 16, pre-existing or new cases of metabolic syndrome had higher triglyceride/HDL ratio than those not so classified (2.89 ± 1.18 versus 1.02 ± 0.57; p <.0001) and greater waist circumference (68.6 ±10.6 versus 61.9 ± 9.8; p = .01).

Table 4.

Count of Participants Exceeding Threshold on Indicators of Metabolic Syndrome

Normal Weight Overweight Obese
Baseline (n= 59) Wk 16 (n=33) Baseline (n= 20) Wk 16 (n= 26) Baseline (n= 18) Wk 16 (n= 36)
Waist circumference (≥ 90th percentile)28 1 (1.7%) 0 (0%) 6 (30%) 6 (23.1%) 14 (77.8%) 25 (69.4%)
Triglyceride (≥90th percentile)32 7 (11.9%) 6 (18.2%) 6 (30%) 2 (7.7) 6 (33.3%) 12 (33.3%)
HDL cholesterol (≤ 10th percentile)b 11 (18.6%) 7 (21.2%) 7 (35%) 8 (30.8%) 4 (22.2%) 13 (36.1%)
Glucose (≥ 100 mg/dL)33 3 (5.1%) 5 (15.1%) 1 (5%) 3 (11.5%) 0 (0%) 3 (8.3%)
Hypertension (SBP and/or DBP > 90th percentile)27 28 (47.4%) 18 (54.5%) 11 (55%) 12 (46.1%) 10 (55.5%) 19 (52.8%)

Note: DBP = diastolic blood pressure; HDL = high-density lipoprotein; SBP = systolic blood pressure.

DISCUSSION

This study examined the effects of risperidone on appetite, weight, BMI, waist circumference, and indices associated with the metabolic syndrome and insulin resistance. Overall, participants with a mean risperidone exposure of 22.9 weeks gained an average of 5.4 ± 3.4 kg, which is consistent with our previous study of 63 children with ASD, but greater than the 3 ± 2.6 kg reported by Demb et al.6,34 This difference may be related to the lower doses used in this sample: 0.65 mg/day compared to 1.8–1.9 mg/day in the RUPP trials. Growth curve analysis in the current sample showed a rise in BMI z-score from 0.65 to 1.4 from baseline to Week 24. The rise in BMI z-scores was significantly greater in children < 7 years compared to those ≥7 years. Cognitive functioning (IQ ≥ 70 versus < 70) did not influence change in BMI z-score. The subgroup of children with reported increase in appetite during the first 8 weeks showed more rapid rise in BMI z-scores than those without reported appetite increase. To our knowledge, this is the largest prospective study to show that increased appetite early in risperidone treatment precedes rapid weight gain in children with ASD. The simultaneous and repeated measurement of appetite and weight in our study provides strong evidence that increased appetite mediates weight gain.

Sixty percent of the study sample was classified as normal weight at baseline compared to 29.4% at endpoint. There was a significant rise in waist circumference over the 24-week trial from 60.7 centimeters to 66.8 centimeters, indicating an increase in visceral adipose tissue. Sixteen weeks of exposure to risperidone was also associated with increased glucose, insulin, HOMA-IR, hemoglobinA1C, triglyceride, triglyceride to HDL ratio, ALT, and leptin as well as decreased HDL cholesterol and adiponectin. Using conventional criteria (3 of 5 indices in Table 4), we identified the metabolic syndrome in 7 (8.4%) participants pretreatment and 12 new cases at Week 16. The 32% drop in the percentage of children in the normal weight category and the increase in children meeting criteria for the metabolic syndrome is larger than the report by Arango et al.35 In that six-month study of 82 risperidone-treated children (mean age=14.03 ±3.25), there was a 22% decline in the rate of normal-weight participants and only one new case of metabolic syndrome.35 The study did not include patients with ASD. In our study, the 19 participants meeting criteria for metabolic syndrome had significantly higher triglyceride/HDL ratio and waist circumference than those without metabolic syndrome.

The benefits of risperidone for reducing serious behavioral problems in children with ASD are well-established.1,2 These benefits need to be considered in light of the documented health risks. Aripiprazole, which is also approved for the treatment of irritability (e.g., tantrums and aggression) in children with ASD, is also associated with weight gain in children with ASD.36,37 Preliminary pilot study results suggest that N-Acetylcysteine or folinic acid may be effective for reducing irritability in children with ASD.38,39 Although not available in all communities, expert behavior therapy has been shown to be effective in managing tantrums, aggression, and self-injury in this population.40 In a multi-site trial of 180 young children with ASD, Bearss et al.41 showed that parent training was superior to parent education in reducing disruptive behavior, suggesting that earlier intervention may avert the need for medication.

Two placebo-controlled risperidone discontinuation studies reported rapid return of serious behavioral problems following gradual dose reduction.4,5 Thus, clinicians and parents may be reluctant to stop treatment with risperidone. Indeed, only 2 participants exited the trial due to weight gain. The parent training program did not target weight management, and we did not observe any differences in weight gain in the combined treatment or drug-only groups. Given that appetite increase resulted in greater weight gain, diet management early in treatment may be effective for limiting weight gain.

This study provides new information on the metabolic effects of risperidone in children with ASD and serious behavioral problems. These results indicate that appetite, body weight, waist circumference, liver function tests, blood lipids, and glucose should be measured before starting treatment with risperidone and periodically thereafter.42 We observed group effects on insulin, leptin, and adiponectin. These results provide insight into the potential metabolic effects of risperidone, but results of these tests in individual children may be difficult to interpret.

The study did not include placebo control. We did not use newer magnetic resonance imaging techniques or ultrasonograpy to examine fat deposition in the abdomen, liver, or carotid arteries.13,30,43 Glucose tolerance tests before and after treatment could have provided more accurate measurement of glucose dysregulation and insulin sensitivity.31,44 We did not differentiate the low, middle, and high-molecular weight isoforms of adiponectin and did not track pro-inflammatory cytokines, TNF – alpha, IL6, or C-reactive protein.15,45 Our sample did not include a sufficient number of girls or minority participants to examine the metabolic effects of risperidone in these subgroups.43, 46 The study did not include the systematic collection of obesity in the family history. Our data are limited to 6 months of exposure.47

Clinical Guidance.

  • Over 24 weeks there was a rise in BMI z-score from 0.65 to 1.4; the rise in BMI z-scores was significantly greater in children < 7 years compared to those ≥7 years.

  • Children with reported increase in appetite during the first 8 weeks showed more rapid rise in BMI z-scores than did those without reported appetite increase. These results suggest that increased appetite mediates weight gain.

  • Appetite, body weight, waist circumference, liver function tests, blood lipids, and glucose should be measured before starting children treated with atypical antipsychotic medications. Appetite, body weight, and waist circumference should be monitored early and regularly during treatment; liver function tests, blood lipids, and glucose should be monitored periodically. In this study, changes were detected 4 months after baseline.

  • The observed alterations in insulin, leptin, and adiponectin provide insight into the potential metabolic effects of risperidone, but results of these tests in individual children may be difficult to interpret.

  • Parents should be educated about the risk of rapid weight gain at the start of treatment, with guidance on food and beverage choices.

Acknowledgments

This work was funded by NIMH by the following RUPP grants: Yale, U10MH66764; Indiana University, U10MH66766; Ohio State University, U10MH66768; and Janssen/Johnson and Johnson Pharmaceutical Research and Development provided active risperidone for the study. This publication was also supported by the Yale CTSA UL1 RR024139, IU CTSA UL1 RR025761, OSU CTSA UL1 RR025755, and Atlanta Clinical and Translational Science Institute UL1TR000454 at Emory University from the National Center for Research Resources. Dr. Scahill also received support from the Marcus Foundation and the Children’s Hospital of Atlanta Trust Fund.

Drs. Jeon, Dziura, Scahill, and Ms. Deng served as the statistical experts for this research. The opinions and assertions contained in this report are the private views of the authors and are not to be construed as official or as reflecting the views of the Department of Health and Human Services, the National Institutes of Health (NIH), or the NIMH.

The authors thank colleagues at Yale University School of Medicine, including Allison Gavaletz, BS, for organizational support, George Anderson, PhD, Laboratory of Developmental Neurochemistry, and Ralph Jacobs, PhD, Core Research Laboratory for laboratory support, and Walter Zawalich, PhD, from the Yale University School of Nursing, for advice on manuscript preparation.

Footnotes

Disclosure: Dr. Scahill has served as a consultant to Neuren, Bracket, MedAdvante, Roche, and Coronado. Dr. Aman has received research contracts, consulted with, served on advisory boards, or done investigator training for Biomarin Pharmaceuticals, Bristol-Myers Squibb, CogState, Inc., Confluence Pharmaceutica, CogState Clinical Trials, Ltd., Coronado Biosciences, Forest Research, Hoffman-La Roche, Janssen Pharmaceuticals/Johnson and Johnson, Lumos Pharma, MedAvante, Inc., Novartis, Pfizer, ProPhase LLC, and Supernus Pharmaceuticals. Dr. McCracken has received NIMH research grant and contract funds; consultant income from Roche; research contract support from Seaside Pharmaceuticals and Roche; speaker honoraria from the Tourette Syndrome Association; and study drug and placebo from Shire. Dr. Arnold has received research funding from Curemark, Forest, Eli Lilly and Co., Neuropharm, Novartis, Noven, Shire, Supernus, Young Living, NIH, and Autism Speaks, and has consulted with or been on advisory boards for Arbor, Gowlings, lronshore, Neuropharm, Novartis, Noven, Organon, Otsuka, Pfizer, Roche, Seaside Therapeutics, Sigma Tau, Shire, Tris Pharma, and Waypoint, and has received travel support from Noven. Dr. Nicol has received research support from Pfizer, Inc. and Otsuka America, Inc. for investigator initiated research studies. She has served on an advisory board for Lundbeck. Dr. Vitiello has received salary support from NIH, income from private practice, and consultant fees from the American Physician Institute for Advanced Professional Studies. Drs. Jeon, Boorin, McDougle, Dziura, Caprio, and Mss. Deng and Challa report no biomedical financial interests or potential conflicts of interest.

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Contributor Information

Dr. Lawrence Scahill, Emory University School of Medicine and Marcus Autism Center, Atlanta.

Dr. Sangchoon Jeon, Yale University School of Nursing, West Haven, CT.

Dr. Susan J. Boorin, Yale University School of Nursing, West Haven, CT.

Dr. Christopher J. McDougle, Harvard Medical School, Massachusetts General Hospital, and Lurie Center for Autism, Boston.

Dr. Michael G. Aman, Nisonger Center, Ohio State University, Columbus.

Dr. James Dziura, Yale School of Medicine, New Haven, CT.

Dr. James T. McCracken, Division of Child Psychiatry, University of California, Los Angeles.

Dr. Sonia Caprio, Yale School of Medicine, New Haven, CT.

Dr. L. Eugene Arnold, Nisonger Center, Ohio State University, Columbus.

Dr. Ginger Nicol, Washington University, St. Louis.

Ms. Yanhong Deng, Yale University.

Ms. Saankari A. Challa, Emory University School of Medicine.

Dr. Benedetto Vitiello, National Institute of Mental Health (NIMH), Bethesda, MD.

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