{"title":"Differential Effects of BMI Adjustment on Ferritin Levels in Anemic Patients.","authors":"Dhivya Baskaran, Jagadish Ramasamy","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The prevalence of obesity and anaemia is consistently increasing in India. Obesity is a chronic inflammatory state and is associated with dysregulation of iron homeostasis. Ferritin, a marker for cellular iron stores, is also an acute phase reactant that remains elevated during inflammation. Previous studies have used inflammation-adjusted serum ferritin to address this. This current study aims to calculate body mass index (BMI)-adjusted ferritin using a regression correction and evaluate its effects across gender and BMI category in anemic patients.</p><p><strong>Methods: </strong>De-identified data were retrieved from hospital records and laboratory information systems. BMI-adjusted ferritin was estimated using a regression correction formula: ln(adjusted ferritin) = ln(unadjusted ferritin) - β(BMI - median BMI).</p><p><strong>Results: </strong>A total of 458 subjects were included, of whom 62% were female and 95% were anemic. Adjusted ferritin levels were slightly lower than unadjusted levels in the normal BMI group (59.8 vs 60) and in males (102.3 vs 113.75). In contrast, adjusted ferritin levels were marginally higher in the overweight/obese group (29.9 vs 28.9) and in females (22.7 vs 22.1). The percentage change in ferritin following adjustment ranged from -0.33 to 10.07.</p><p><strong>Conclusion: </strong>BMI-based regression correction had differential effects across BMI categories and gender. The adjustment substantially attenuated higher ferritin levels in normal BMI and males. In contrast, a minimal increase was observed in overweight/obese individuals and in females with lower baseline ferritin levels. Notably, the magnitude of these percentage change in ferritin is small relative to the reported within-person biological variation (BV) of ferritin, suggesting limited clinical impact.</p>","PeriodicalId":37192,"journal":{"name":"Electronic Journal of the International Federation of Clinical Chemistry and Laboratory Medicine","volume":"37 4","pages":"651-658"},"PeriodicalIF":0.0000,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13563516/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of the International Federation of Clinical Chemistry and Laboratory Medicine","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The prevalence of obesity and anaemia is consistently increasing in India. Obesity is a chronic inflammatory state and is associated with dysregulation of iron homeostasis. Ferritin, a marker for cellular iron stores, is also an acute phase reactant that remains elevated during inflammation. Previous studies have used inflammation-adjusted serum ferritin to address this. This current study aims to calculate body mass index (BMI)-adjusted ferritin using a regression correction and evaluate its effects across gender and BMI category in anemic patients.
Methods: De-identified data were retrieved from hospital records and laboratory information systems. BMI-adjusted ferritin was estimated using a regression correction formula: ln(adjusted ferritin) = ln(unadjusted ferritin) - β(BMI - median BMI).
Results: A total of 458 subjects were included, of whom 62% were female and 95% were anemic. Adjusted ferritin levels were slightly lower than unadjusted levels in the normal BMI group (59.8 vs 60) and in males (102.3 vs 113.75). In contrast, adjusted ferritin levels were marginally higher in the overweight/obese group (29.9 vs 28.9) and in females (22.7 vs 22.1). The percentage change in ferritin following adjustment ranged from -0.33 to 10.07.
Conclusion: BMI-based regression correction had differential effects across BMI categories and gender. The adjustment substantially attenuated higher ferritin levels in normal BMI and males. In contrast, a minimal increase was observed in overweight/obese individuals and in females with lower baseline ferritin levels. Notably, the magnitude of these percentage change in ferritin is small relative to the reported within-person biological variation (BV) of ferritin, suggesting limited clinical impact.
背景:印度的肥胖和贫血患病率持续上升。肥胖是一种慢性炎症状态,与铁稳态失调有关。铁蛋白是细胞铁储量的标志,也是炎症期间保持升高的急性相反应物。以前的研究使用炎症调节血清铁蛋白来解决这个问题。本研究旨在利用回归校正计算身体质量指数(BMI)调整的铁蛋白,并评估其在贫血患者中跨性别和BMI类别的影响。方法:从医院记录和实验室信息系统中检索去识别数据。采用回归校正公式估算BMI调整后的铁蛋白:ln(调整后的铁蛋白)= ln(未调整的铁蛋白)- β(BMI - BMI中位数)。结果:共纳入458例受试者,其中女性62%,贫血95%。调整后的铁蛋白水平略低于正常BMI组(59.8 vs 60)和男性(102.3 vs 113.75)。相比之下,调整后的铁蛋白水平在超重/肥胖组(29.9 vs 28.9)和女性(22.7 vs 22.1)中略高。调整后的铁蛋白百分比变化范围从-0.33到10.07。结论:基于BMI的回归校正在不同BMI类别和性别间有不同的效果。这一调整大大降低了正常BMI和男性中较高的铁蛋白水平。相比之下,在超重/肥胖个体和基线铁蛋白水平较低的女性中观察到轻微的增加。值得注意的是,这些铁蛋白百分比变化的幅度相对于报道的铁蛋白的人体内生物变异(BV)来说很小,这表明临床影响有限。