Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington; LetsGetChecked Laboratories, Monrovia, California.
Am J Kidney Dis. 2024 Aug;84(2):232-240. doi: 10.1053/j.ajkd.2024.01.522. Epub 2024 Mar 6.
The most commonly used equations to estimate glomerular filtration rate incorporate a binary male-female sex coefficient, which has important implications for the care of transgender, gender-diverse, and nonbinary (TGD) people. Whether "sex assigned at birth" or a binary "gender identity" is most appropriate for the computation of estimated glomerular filtration rate (eGFR) is unknown. Furthermore, the use of gender-affirming hormone therapy (GAHT) for the development of physical changes to align TGD people with their affirmed gender is increasingly common, and may result in changes in serum creatinine and cystatin C, the biomarkers commonly used to estimate glomerular filtration rate. The paucity of current literature evaluating chronic kidney disease (CKD) prevalence and outcomes in TGD individuals on GAHT makes it difficult to assess any effects of GAHT on kidney function. Whether alterations in serum creatinine reflect changes in glomerular filtration rate or simply changes in muscle mass is unknown. Therefore, we propose a holistic framework to evaluate kidney function in TGD people. The framework focuses on kidney disease prevalence, risk factors, sex hormones, eGFR, other kidney function assessment tools, and the mitigation of health inequities in TGD people.
最常用于估计肾小球滤过率的方程包含一个二元的男女性别系数,这对跨性别、性别多样化和非二进制(TGD)人群的护理具有重要意义。“出生时分配的性别”还是二元“性别认同”最适合计算估计肾小球滤过率(eGFR)尚不清楚。此外,为了使 TGD 人群的身体变化与他们所认同的性别一致,使用性别肯定激素疗法(GAHT)越来越普遍,这可能导致血清肌酐和胱抑素 C 的变化,这两种生物标志物常用于估计肾小球滤过率。目前评估接受 GAHT 的 TGD 个体中慢性肾脏病(CKD)患病率和结局的文献很少,因此难以评估 GAHT 对肾功能的任何影响。血清肌酐的变化是否反映肾小球滤过率的变化,或者仅仅反映肌肉量的变化尚不清楚。因此,我们提出了一个全面的框架来评估 TGD 人群的肾功能。该框架侧重于肾脏病的患病率、危险因素、性激素、eGFR、其他肾功能评估工具以及减轻 TGD 人群中的健康不平等现象。