Predictors of BMI reduction with phentermine/topiramate in adolescents with obesity

Overview

This analysis was conducted using data collected from “A Phase IV Safety and Efficacy Study of VI-0521 in Adolescents with Obesity” (Clinicaltrials.gov # NCT03922945) [11]. This randomized, double-blind, placebo-controlled trial was designed to evaluate the safety and efficacy of PHEN/TPM in adolescents with obesity over 56 weeks. Participants were randomly assigned in a 1:1:2 ratio to receive either placebo, mid-dose (7.5 mg/46 mg) or top-dose (15 mg/92 mg) PHEN/TPM. The trial protocol and primary outcomes have been previous published [11]. Eligible participants were 12 to <17 years of age with BMI ≥95th percentile for age and sex, and had a Tanner (pubertal) stage >1, history of insufficient weight reduction or maintenance with a lifestyle modification program. The full list of inclusion and exclusion criteria is provided in the Supplementary Appendix of the original publication [11].

MeasuresDemographics

Sex, age, and race and ethnicity were collected at the baseline visit. Due to limited numbers of participants, race and ethnicity were combined and collapsed into two race/ethnicity categories: (1) participants who identified as both white race and non-Hispanic ethnicity (“non-Hispanic white”), and (2) participants who identified as Hispanic ethnicity and/or Black/African American, Asian, Native American or Alaskan Native, Native Hawaiian or Other Pacific Islander, Asian or other (“Hispanic and/or not white”).

Anthropometrics

Baseline and week 56 height and weight were used to calculate BMI.

Tanner Staging

Tanner Staging, a sex-specific five-step rating of secondary sexual characteristics, was measured to assess pubertal maturation. Pubertal stage was categorized as “early” (Tanner 2 and 3) and “late” (Tanner 4 and 5).

Glycemic status

An oral glucose tolerance test (OGTT) obtained at baseline determined a participant’s baseline glycemic status. The OGTT used a 75 g oral glucose load; blood samples were obtained at fasting and at 2 h post glucose load for evaluation of both glucose and insulin levels. Participants with a fasting glucose level between 100–125 mg/dL or 2-h glucose level between 140–199 mg/dL were classified as “prediabetes” [12]. Participants with a fasting glucose level ≤100 mg/dL or 2-h glucose level ≤139 mg/dL were classified as “normoglycemia.”

The Patient Health Questionnaire-9 Modified for Teens (PHQ-9)

The PHQ-9 is a 9-item, self-administered instrument to screen for and assess the severity of depression in adolescents. Depression severity was determined according to PHQ-9 guidelines: none = 0 to 4; mild = 5–9; moderate = 10–14; moderately severe = 15–19; severe = 20–27 [13]. Participants who screened with PHQ-9 ≥ 10 or more were excluded from the study. Depression as a predictor was categorized into “none (0–4)” and “mild (5–9).”

Cambridge Neuropsychological Test Automated Battery (CANTAB)

Baseline cognitive function was assessed using spatial span test from the CANTAB. The spatial span test was used to assess visuospatial working memory capacity, which is one domain of executive function [14]. The raw score describes the longest sequence successfully recalled, with sequences ranging from two to nine and a higher score indicating better performance [14]. CANTAB as a predictor was categorized into high (≥7) and low (<7).

The Impact of Weight on Quality of Life-Kids (IWQOL-Kids)

The IWQOL-Kids is a 27-item, self-administered questionnaire validated for use in adolescents aged 11–19 years old [15]. This questionnaire was designed to evaluate the impact of excess weight on quality of life domains including Physical Comfort, Body Esteem), Social Life, and Family Relations [15]. The IWQOL-Kids results in transformed scores that range from 0–100, with higher scores indicating better quality of life. IWQOL as a predictor was categorized as high (≥85) and low (<85).

Statistical analysis

Only baseline data were used for this analysis. Descriptive analyses of baseline characteristics and measures included means with standard deviations for continuous variables and counts with frequencies for categorical variables. Linear interpolation was used to estimate BMI at the 56 week target date for participants whose BMI was collected more than 30 days past the target date (n = 10) using the late measured BMI and the closest measured BMI prior to the week 56 target visit. Multiple imputation was used for records missing 56 week BMI measures via 200 imputations based on the randomization group and the randomization stratification factors (age group and sex). The primary analysis used linear regression with BMI percent change from baseline to 56 weeks as a continuous outcome. Predictor variables of age (12–14 vs. 15–16), sex (male vs. female), race and ethnicity (non-Hispanic and white vs. Hispanic and/or not white), baseline BMI category (between 95–99th age- and sex-specific percentile vs. ≥99th), Tanner stage (4 and 5 vs. 2 and 3), glycemic status (normoglycemic vs. prediabetes), depression status (no depression vs. mild depression), CANTAB spatial span score (high (≥7) vs. low (<7)), and IWQOL scores (high (≥85) vs. low (<85)) were each evaluated in a separate model using an interaction with the treatment group (placebo, mid-dose PHEN/TPM and top-dose PHEN/TPM). All models adjusted for baseline value of BMI and randomization stratification factors of age group and sex, and used robust variance estimation for confidence intervals and p values. For each predictor, results were pooled across imputed datasets. All p values are two-sided and considered at the 0.05 level for statistical significance. Analyses were performed using R (v4.2.3; R Core Team 2023) (25) and the mice package (26).

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