Associations of obesity with antidiabetic medication use after living kidney donation: An analysis of linked national registry and pharmacy fill records.
Krista L LentineFarrukh M KoraishyNagaraju SarabuAbhijit S NaikNgan N LamAmit X GargDavid A AxelrodZidong ZhangGregory P HessBertram L KasiskeDorry L SegevMacey L LevanAllan B MassieCourtenay M HolscherMark A SchnitzlerPublished in: Clinical transplantation (2019)
We examined a novel linkage of national US donor registry data with records from a pharmacy claims warehouse (2007-2016) to examine associations (adjusted hazard ratio, LCL aHRUCL ) of post-donation fills of antidiabetic medications (ADM, insulin or non-insulin agents) with body mass index (BMI) at donation and other demographic and clinical factors. In 28 515 living kidney donors (LKDs), incidence of ADM use at 9 years rose in a graded manner with higher baseline BMI: underweight, 0.9%; normal weight, 2.1%; overweight, 3.5%; obese, 8.5%. Obesity was associated with higher risk of ADM use compared with normal BMI (aHR, 3.36 4.596.27 ). Metformin was the most commonly used ADM and was filled more often by obese than by normal weight donors (9-year incidence, 6.87% vs 1.85%, aHR, 3.55 5.007.04 ). Insulin use was uncommon and did not differ significantly by BMI. Among a subgroup with BMI data at the 1-year post-donation anniversary (n = 19 528), compared with stable BMI, BMI increase >0.5 kg/m2 by year 1 was associated with increased risk of subsequent ADM use (aHR, 1.03 1.482.14, P = .04). While this study did not assess the impact of donation on the development of obesity, these data support that among LKD, obesity is a strong correlate of ADM use.
Keyphrases
- weight gain
- body mass index
- weight loss
- type diabetes
- metabolic syndrome
- insulin resistance
- bariatric surgery
- electronic health record
- physical activity
- glycemic control
- risk factors
- quality improvement
- health insurance
- high fat diet induced
- big data
- clinical trial
- randomized controlled trial
- obese patients
- dna methylation
- gene expression
- genome wide
- human immunodeficiency virus
- hepatitis c virus
- data analysis