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. 2023 Dec;47(12):1239-1246.
doi: 10.1038/s41366-023-01376-4. Epub 2023 Sep 18.

Real-world costs of obesity-related complications over eight years: a US retrospective cohort study in 28,500 individuals

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Real-world costs of obesity-related complications over eight years: a US retrospective cohort study in 28,500 individuals

Jonathan Pearson-Stuttard et al. Int J Obes (Lond). 2023 Dec.

Abstract

Background: Obesity-related complications (ORCs) are associated with high costs for healthcare systems. We assessed the relationship between comorbidity burden, represented by both number and type of 14 specific ORCs, and total healthcare costs over time in people with obesity in the USA.

Methods: Adults (≥ 18 years old) identified from linked electronic medical records and administrative claims databases, with a body mass index measurement of 30-< 70 kg/m2 between 1 January 2007 and 31 March 2012 (earliest measurement: index date), and with continuous enrolment for ≥ 1 year pre index (baseline year) and ≥ 8 years post index, were included. Individuals were grouped by type and number of ORCs during the pre-index baseline year. The primary outcome was annual total adjusted direct per-person healthcare costs.

Results: Of 28,583 included individuals, 12,686 had no ORCs, 7242 had one ORC, 4180 had two ORCs and 4475 had three or more ORCs in the baseline year. Annual adjusted direct healthcare costs increased with the number of ORCs and over the 8-year follow-up. Outpatient costs were the greatest contributor to baseline annual direct costs, irrespective of the number of ORCs. For specific ORCs, costs generally increased gradually over the follow-up; the largest percentage increases from year 1 to year 8 were observed for chronic kidney disease (+ 78.8%) and type 2 diabetes (+ 47.8%).

Conclusions: In a US real-world setting, the number of ORCs appears to be a cost driver in people with obesity, from the time of initial obesity classification and for at least the following 8 years.

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Conflict of interest statement

JP-S is partner and Head of Health Analytics at Lane Clark & Peacock LLP, Chair-elect of the Royal Society for Public Health and reports personal fees from Novo Nordisk A/S and Pfizer Ltd outside of the submitted work. SC, EdL, MF, CLH, and KSM are employees of Novo Nordisk A/S. AN, JT, and XZ are employees of IQVIA, and TB was an employee of IQVIA at the time the study was conducted; IQVIA received consulting fees from Novo Nordisk A/S to perform this analysis. ME has received fees from AstraZeneca, Boehringer Ingelheim and Novo Nordisk A/S.

Figures

Fig. 1
Fig. 1. Adjusted mean annual total all-cause healthcare costs for individuals with obesity by number of ORCs.
Costs are a averaged over 8 years of follow-up, and b shown per year of follow-up. ORC obesity-related complication.
Fig. 2
Fig. 2. Adjusted mean annual total all-cause healthcare costs for individuals with obesity, averaged over 8 years follow-up and stratified by the presence (‘with’ group) or absence (‘without’ group) of specific ORCs or numbers of ORC.
CKD chronic kidney disease, CV cardiovascular, CVD cardiovascular disease, HF heart failure, OA osteoarthritis, ORC obesity-related complication, T2D type 2 diabetes. aHigh CV risk: ≥ 2 risk factors out of hypertension, dyslipidaemia and T2D/prediabetes. The ‘without’ group has < 2 CV risk factors.
Fig. 3
Fig. 3. Adjusted mean total all-cause per-person healthcare costs at year 1 and at year 8 among individuals with obesity, stratified by specific ORCs.
CKD chronic kidney disease, CVD cardiovascular disease, HF heart failure, OA osteoarthritis, ORC obesity-related complication, T2D type 2 diabetes. aHigh CV risk: ≥ 2 risk factors out of hypertension, dyslipidaemia and T2D/prediabetes.
Fig. 4
Fig. 4. Observed mean inpatient, outpatient, ED and drug costs per person in the baseline year and in years 1 and 8.
CKD chronic kidney disease, CVD cardiovascular disease, ED emergency department, HF heart failure, OA osteoarthritis, ORC obesity-related complication, T2D type 2 diabetes. aHigh CV risk: at least two risk factors out of hypertension, dyslipidaemia and T2D/prediabetes.

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