Is there any established literature or expert opinions out there on how best to approach renal dosing in trans patients from a pharmacist's or provider's perspective? How should creatinine clearance be evaluated and utilized in this population?

Comment by InpharmD Researcher

Evidence from reviews and clinical studies suggests that transgender men are more likely to experience an increase in serum creatinine after consistent use of hormonal therapy while transgender women are conversely more likely to experience a decrease in serum creatinine. This change in serum creatinine may be potentially due to body composition changes such as body weight, lean body mass, and body fat percentages in transgender patients hence, a transgender patients’ physiology is more likely to reflect their gender identity more than their sex at birth. One review article suggests clinicians may use six months of gender-affirming therapy as the appropriate time interval before calculating creatinine clearance (CrCl) and ideal body weight (IBW) according to gender identity due to the fact that this is the time when amenorrhea, which is a marker of successful masculinization in transgender men, most commonly occurs.

Background

A 2020 review evaluated the evidence on the effect of gender-affirming hormone therapy on serum creatinine concentration and lean body mass. The authors observed the optimal approach to use creatinine clearance (CrCl) and ideal body weight (IBW) calculations in patients receiving hormonal gender-affirming therapy remains unclear. The effect of hormone therapy on muscle and fat distribution, and thus on CrCl and IBW calculations is unknown. In order to properly dose medications in transgender patients, a consistent recommendation for estimating CrCl and IBW is needed. Therefore, studies were identified which evaluated changes in metabolic laboratory values in transgender patients receiving hormone therapy compared to those of cisgender patients. [1, 2]

An observational, cross-sectional study of transgender women (male-to-female transition) who completed gender affirmation surgery and have taken estrogen therapy for at least two years prior to surgery found that median lean body mass was lower in transgender women than in cisgender men (51.2 kg vs 61.8 kg; p<0.001) and median serum creatinine (SCr) was also lower in transgender women (0.78 mg/dL vs 0.94 mg/dL; p<0.001). The study concluded that after gender transition, biometrics are more so similar to gender identity than sex at birth in transgender women after prolonged hormone therapy. [1]

A retrospective cohort study of transgender women and transgender men (female-to-male transition) using gender-affirming hormone therapy found that transgender women did not experience a significant change in body mass index (BMI), and SCr decreased from a baseline mean of 0.9 mg/dL to 0.85 mg/dL at follow up (p<0.05). Transgender men had a mean increase in BMI from 28.1 to 30.1 (p<0.05) and mean SCr increase from 0.73 mg/dL to 0.87 mg/dL (p<0.05). This study noted that both transgender women and transgender men experienced biomarkers changes used to calculate CrCl and IBW as soon as three months after initiation of hormone therapy. A prospective cohort study compared body weight and laboratory values before and after transgender women and transgender men had been on gender-affirming hormone therapy for four months. Mean SCr decreased in transgender women (0.97 mg/dL to 0.89 mg/dL; p<0.001) and increased in transgender men (0.87 mg/dL to 0.96 mg/dL; p<0.001). Lean body mass did not significantly decrease in transgender women (56.9 to 56.6; p= 0.56), however did increase significantly in transgender men (44 kg to 48.1 kg; p<0.001). Moreover, the mean total BMI increased in transgender women (21 to 21.9; p= 0.005) and transgender men (21.9 to 23.2; p<0.001). The study additionally showed that SCr more closely resembles gender identity than sex at birth. Another cross-sectional study of transgender women, who have been receiving estrogen therapy for at least six months, compared laboratory values (2.5th and 97.5th percentiles) to those of cisgender men and women. The percentile range for SCr in transgender women (0.55 to 1.3 mg/dL) was more similar to that in cisgender men (range 0.73 to 1.3 mg/dL) than in cisgender women (range 0.65 to 1 mg/dL). [1]

The literature summary indicates that after hormone therapy, transgender patients’ physiology reflects their gender identity more than their sex at birth. The authors recommend six months of gender-affirming therapy as the appropriate time interval before calculating CrCl and IBW according to gender identity; this is based on the time in which amenorrhea, which is a marker of successful masculinization in transgender men, most commonly occurs. The authors note that the literature provides inconsistent results of the degree of physiologic change, however this may be due to the small sample sizes, observational design of the studies, variation in human physiology, and differences in duration of hormone therapy. [1]

A letter in response to this review identifies additional considerations when assessing renal function in transgender patients including medical conditions, reproductive organ status, and medication compliance; as these factors may affect both physical goals and hormone levels. They also note that more accurate measurements of renal function may be required to appropriately manage and assess primary medical problems. [2]

A 2021 narrative review evaluated the existing literature regarding the provision of care to transgender men and women with chronic kidney disease (CKD), including dialysis and transplant, to identify specific issues related to gender-affirming therapy and chronic disease management. In general, there are two main objectives of gender-affirming hormone therapy: to decrease the levels of endogenous sex hormones and their associated secondary sex characteristics of the sex assigned at birth and to replace and shift the individual's biochemical sex hormone configuration to reflect their affirmed gender to mimic physiology as best as possible. These objectives are guided by the individual’s gender-affirming goals, while minimizing potential risks based on the clinical scenario and presence of medical comorbidities. For transgender men, exogenous testosterone therapy leads to masculine changes that typically can include voice deepening, menstrual suppression, facial and body hair growth, and increased muscle mass; body composition typically changes as body weight, and lean body mass can increase, while body fat can decrease. Female hormone therapy typically involves using exogenous estradiol which can suppress endogenous testosterone production; therapy typically leads to skin softening, breast development, decrease in body hair, increased body fat, and decreased lean body mass. Gender-affirming surgeries can also be considered, but guidelines recommend first having used hormone therapy continuously for one year and having successfully been living full-time in one’s affirmed gender role for one year as these surgeries are generally irreversible. [3]

Estimating glomerular filtration rate (GFR) is routinely estimated using creatinine and equations developed from linear regression models, including the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations, both of which include sex as a covariate. Estimations using these equations are problematic in the setting of gender-affirming hormone therapy due to body composition changes, muscle mass changes, and change in SCr; however, whether there are true differences in actual GFR is unknown. Lean body mass and SCr tend to increase in transgender men and decrease in transgender women; though the clinical relevance of these changes is unknown. Cystatin C may be less affected by hormone therapy, however it is unknown if there are any differences in transgender persons compared to cisgender persons. One case report in a 36-year old transgender male showed a higher 24-hour urine for CrCl (92 mL/min) than estimated by the CKD-EPI equation using either sex (male: 81 mL/min/1.73m2; female: 61 mL/min/1.73m2); the patient’s creatinine also increased from 0.94 mg/dL to 1.3 mg/dL following 2 years of testosterone use. Due to the lack of data, the authors recommend that both male and female sexes be inputted into eGFR equations for transgender persons on gender-affirming hormone therapy to provide a range that can be narrowed by deciding which value likely represents the muscle mass of the patient to which the calculations were applied. If an accurate eGFR measurement is needed, they recommend using non-creatinine exogenous filtration markers (such as iothalamate or iohexol), however this may not be routinely feasible in clinical practice. For transgender persons not on hormone therapy, since their muscle mass is likely reflective of their sex assigned at birth, it is recommended that sex assigned at birth be used for all eGFR equations. [3]

A 2019 retrospective chart review evaluated the impact of hormone therapy (HT) on common laboratory values in transgender individuals identified at clinics at an urban county hospital and community clinic. Laboratory values were divided into four groups based on sex assigned at birth and duration of hormone therapy: transgender women taking HT > 6 months, transgender men taking HT > 6 months, transgender women with sex assigned male at birth with no history of hormone use and transgender men with sex assigned female at birth with no history of hormone use. To assess the magnitude of differences in laboratory values pre- and post-HT, the effect size was calculated using Cohen’s d index, which is a measure of the difference between two means relative to pooled standard deviation of two groups; d <0.5, d = 0.5-0.8, and d > 0.8 indicate small, moderate, and large effect sizes, respectively. Overall, 183 transgender women and 119 transgender men were identified who had laboratory data available; 87 transgender women and 62 transgender men had baseline laboratory data and data were available for 133 transender women and 89 transgender men on HT for >6 months. A significant decrease in creatinine concentrations for transgender women taking estradiol compared with baseline was observed (p<0.0001; d= 0.59); the mean creatinine concentration did not decrease to concentrations seen in the baseline transgender men group. Creatinine values in transgender men taking testosterone increased from baseline values (p<0.0001; d= 1.32) to match those observed in the baseline transgender women group (p> 0.05). No significant change in BUN concentrations in both transgender women and transgender men compared with baseline groups were identified (p> 0.05). While the study indicates significant creatinine changes in transgender men and women taking hormone therapy, correlation with actual changes in renal function was not assessed. [4]

References:

[1] Webb AJ, McManus D, Rouse GE, Vonderheyde R, Topal JE. Implications for medication dosing for transgender patients: A review of the literature and recommendations for pharmacists. Am J Health Syst Pharm. 2020;77(6):427-433. doi:10.1093/ajhp/zxz355
[2] Jue JS, Alameddine M. Assessment of renal function in transgender patients. Am J Health Syst Pharm. 2020;77(18):1460-1461. doi:10.1093/ajhp/zxaa229
[3] Collister D, Saad N, Christie E, Ahmed S. Providing Care for Transgender Persons With Kidney Disease: A Narrative Review. Can J Kidney Health Dis. 2021 Jan 20;8:2054358120985379. doi: 10.1177/2054358120985379. PMID: 33552529; PMCID: PMC7829603.
[4] SoRelle JA, Jiao R, Gao E, et al. Impact of Hormone Therapy on Laboratory Values in Transgender Patients. Clin Chem. 2019;65(1):170-179. doi:10.1373/clinchem.2018.292730

Literature Review

A search of the published medical literature revealed 4 studies investigating the researchable question:

Is there any established literature or expert opinions out there on how best to approach renal dosing in trans patients from a pharmacist's or provider's perspective? How should creatinine clearance be evaluated and utilized in this population?

Please see Tables 1-4 for your response.


 

A Retrospective Analysis of Creatinine-Based Kidney Function With and Without Sex Assigned at Birth Among Transgender Adults

Design

Retrospective cohort study

N= 70

Objective

To compare median estimated creatinine clearance (eCrCL; Cockcroft-Gault) and estimated glomerular filtration rates (eGFRs; Modification of Diet in Renal Disease [MDRD] and Chronic Kidney Disease Epidemiology Study [CKD-EPI]) before and during hormone therapy (HT) when estimated with and without sex assigned at birth

Study Groups

Testosterone (n= 29)

Estrogen (n= 41)

Inclusion Criteria

At least one transgender health-related clinical visit between January 1, 2007, and January 31, 2017, prescribed testosterone or estrogen treatment for at least 90 days, at least one creatinine measure within 6 months pre-index date and within 12 months post-index date

Exclusion Criteria

History of chronic kidney disease, dialysis, kidney transplant, HIV infection, or baseline eGFR <60 mL/min/1.73 m2, creatinine measures reported within 90 days of the index date only, >12 creatinine measures reported within any 6-month period 1 year pre-index or post-index date

Methods

Patient data was identified and included for analysis. Due to the variance in gender identities outside binary parameters, patients were grouped based on receipt of either testosterone or estrogen treatment.

Duration

Up to 12 months post-index date

Outcome Measures

Primary: percent difference in median eCrCL 3-6 months and 6-12 months post-index date versus baseline using Cockcraft-Gault estimating equation

Baseline Characteristics

 

Testosterone (n= 29)

Estrogen (n= 41)

Age, years

26 29

Weight, kg

78.7 75.3

Height, cm

164.0 175.1

Race, ethnicity

White

Hispanic, latino

Black

Asian

American Indian/Alaskan Native

Unknown

 

72%

<17%

<17%

<17%

0

<17%

 

59%

12%

<12%

<12%

<12%

<12%

History of diabetes

History of hypertension

13.8%

20.7%

9.8%

24.4%

Results

Endpoint

Testosterone (n= 29)

Estrogen (n= 41)

Median serum creatinine, mg/dL (interquartile range)

Baseline

3-6 months

Change from baseline

p-Value

6-12 months

Change from baseline

p-Value

 

0.74 (0.64 to 0.82)

0.81 (0.77 to 0.86)

0.05 (0.02 to 0.14)

0.0020

0.84 (0.74 to 0.94)

0.12 (0.00 to 0.18)

0.0006

 

0.83 (0.76 to 0.94)

0.87 (0.81 to 0.92)

-0.03 (-0.11 to 0.04)

0.5245

0.81 (0.74 to 0.95)

0.00 (-0.09 to 0.06)

0.8911

Max eCrCL and eGFR changes based on gender assigned at birth (p-Value)

Female

Male

 

-14% (0.0181)

-18% (0.0009)

 

Did not change from baseline

Max eCrCL and eGFR changes based on gender identity (p-Value)

Male

Female

 

+5% (> 0.025)

+11% (0.0094)

 

-17 & (< 0.0001)

-26% (< 0.0001)

Study Author Conclusions

Female-based equations may underestimate kidney function in transgender adults undergoing testosterone or estrogen treatment. Prospective cohort studies are needed to confirm the clinical significance of these findings.

InpharmD Researcher Critique

This study's limitations include the use of a convenience sample, potentially limiting generalizability; challenges in accurately identifying transgender patients; and lack of access to clinic notes, measured kidney function, and body composition data. Additionally, the small sample size limited the ability to control for potential confounding factors.



References:

Fadich SK, Kalayjian A, Greene DN, Cirrincione LR. A Retrospective Analysis of Creatinine-Based Kidney Function With and Without Sex Assigned at Birth Among Transgender Adults. Ann Pharmacother. 2022;56(7):791-799. doi:10.1177/10600280211050120

 

The effect of gender-affirming hormone treatment on serum creatinine in transgender and gender-diverse youth: implications for estimating GFR

Design

Longitudinal, observational study

N= 286

Objective

To report the changes in serum creatinine during gender-affirming hormone (GAH) treatment in a cohort of transgendered (TGD) youth and compare these changes to a comparison group of adolescents drawn from the National Health and Nutrition Examination Survey (NHANES)

Study Groups

Designated male at birth [DMAB] (n= 92)

Designated female at birth [DFAB] (n= 194)

Inclusion Criteria

Presence of gender dysphoria, deemed appropriate for initiating phenotypic gender transition with hormones, aged 8-20, understand English, and receive or plan to receive services at a study site clinic

Exclusion Criteria

Prior use of gender-affirming hormones, enrollment in the blocker cohort, serious psychiatric symptoms, visible distress at consent or baseline evaluation, or intoxication affecting informed consent or comprehension

Methods

Data was collected as part of routine clinical care and extracted from medical records. A special calculation was used for serum creatinine to take into account age-related changes in measurements:

For males: ln(Q)=3.2+0.259×age−0.543×ln(age)−0.00763×age2+0.0000790×age3
For females: ln(Q)=3.08+0.177×age−0.223×ln(age)−0.00596×age2+0.0000686×age3

The study used two equations to estimate GFR:

1) CKiDU25 equation: eGFR = k × height / SCr

- Height in meters, serum creatinine (SCr) in mg/dL

- k is calculated differently for males and females based on age:

Males:

<12 years old: k = 39.0 × 1.008^(age-12)

12 to <18 years old: k = 39.0 × 1.045^(age-12)

18 years old: k = 50.8

Females:

<12 years old: k = 36.1 × 1.008^(age-12)

12 to <18 years old: k = 36.1 × 1.023^(age-12)

18 years old: k = 41.4

2) CKD-EPI 2021 equation: eGFR = 142 × min(SCr/κ, 1)^α × max(SCr/κ, 1)^(-1.200) × 0.9938^age × 1.012 [if female]

in which age is in units of years, κ = 0.7 for the female equation and 0.9 for the male equation, α = −0.302 for the male equation and −0.241 for the female equation.

Duration

6 months

Outcome Measures

Serum creatinine changes from baseline to within 6 months after initiation of treatment, eGFR changes at 6 months based on male and female equations

Baseline Characteristics

 

DMAB (n= 92)

DFAB (n= 194)

Age, years

17.3 16.2

Affirmed gender

Male

Female

Transgender Female

Transgender Male

Gender Fluid

Gender Queer

Non-binary

 

0

39%

55%

0

0

1%

4%

 

40%

0

0

53%

1%

0.5%

5%

Race/Ethnicity

White

Black/African American

Multi-race

Asian/Native American/Pacific Islander

Hispanic/Latino, Non-White

Hispanic/Latino, White

Other

 

64%

2%

12%

2%

16%

2%

1%

 

57%

3%

10%

4%

16%

10%

0

Tanner Stage at baseline visit

III

IV

V

 

4%

12%

85%

 

0.5%

9%

90%

Results

Endpoint

DMAB (n= 92)

DFAB (n= 194)

Serum creatinine changes (standard deviation), mg/dL

Baseline

6 month

p-Value

 

0.83 (0.12)

0.76 (0.12)

0.001

 

0.68 (0.10)

0.79 (0.11)

< 0.001

eGFR changes at 6 months, mL/min/1.73 m2

CKiDU25

Male equation

Female equation

CKD-EPI 2021

Male equation

Female equation

 

 

10.3

7.6

 

2.7

6.6

 

 

-12.4

-13.5

 

-7.1

-12.2

Study Author Conclusions

We recommend calculating eGFR based on both the patient’s sex designated at birth and their gender identity. If eGFR is found to be low by either equation, we recommend using an eGFR equation based on cystatin C (though such equations also need validation in TGD cohorts) and/or direct measurement of GFR. GAH treatment leads to changes in serum creatinine within 6 months of treatment. Clinicians should consider a patient’s hormonal exposure when estimating kidney function via eGFR and use other methods to estimate GFR if eGFR based on serum creatinine is concerning.

InpharmD Researcher Critique

GFR was not directly measured, but calculated in the patients. Direct measure of kidney activity or other endogenous markers might be the most accurate means of determining kidney function.



References:

Millington K, Barrera E, Daga A, et al. The effect of gender-affirming hormone treatment on serum creatinine in transgender and gender-diverse youth: implications for estimating GFR. Pediatr Nephrol. 2022;37(9):2141-2150. doi:10.1007/s00467-022-05445-0

 

The Effect of Gender-Affirming Hormone Therapy on Serum Creatinine in Transgender Individuals

Design

Retrospective chart review

N= 108

Objective

To describe the changes in serum creatinine (Cr) levels after the initiation of gender-affirming hormone therapy (GAHT) in transgender individuals to better understand the expected changes and interpretation of laboratory values in this population

Study Groups

Transgender women (n= 84)

Transgender men (n= 24)

Inclusion Criteria

Age 18 years or older, newly initiated GAHT, recorded baseline kidney function, transgender men on testosterone and transgender women on estradiol and antiandrogens

Exclusion Criteria

Nonbinary, gender fluid, unclear gender (due to varied GAHT dose and targets)

Methods

Patient data was collected for analysis consisting of laboratory values of serum Cr at baseline, 3, 6, and 12 months after initiating GAHT.

Duration

Follow-up: 12 months

Outcome Measures

Change in serum Cr levels at 3, 6, and 12 months

Baseline Characteristics

 

Transgender women (n= 84)

Transgender men (n= 24)

Age, years

30 23

Ethnicity

White

Black

Asian/Pacific Islander

Other

Not disclose

 

83%

4%

4%

0

6%

 

83%

9%

4%

4%

4%

Chronic kidney disease

5% 0

Results

Endpoint

Transgender women (n= 84)

Transgender men (n= 24)

Serum Cr, mg/dL

Baseline

3 months

6 months

12 months

 

0.93

0.9*

0.83**

0.86**

 

0.81

0.85*

0.9*

0.93**

* p< 0.05

** p< 0.01

Study Author Conclusions

In transgender women and transgender men, a change in Cr level was seen as early as 3 months toward their affirmed gender after initiating GAHT. Clinicians can use Cr levels established at 6 months as new baseline values, as these changes continue to persist up to 12 months.

InpharmD Researcher Critique

The changes in Cr levels were not evaluated to determine a true difference in kidney function.



References:

Maheshwari A, Dines V, Saul D, Nippoldt T, Kattah A, Davidge-Pitts C. The Effect of Gender-Affirming Hormone Therapy on Serum Creatinine in Transgender Individuals. Endocr Pract. 2022;28(1):52-57. doi:10.1016/j.eprac.2021.08.009

 

Method of Calculating Renal Function Estimates Could Inappropriately Exclude Transgender Patients Receiving Gender-Affirming Hormone Therapy from Pre-Exposure Prophylaxis Eligibility

Design

Retrospective observational study

N= 258

Objective

To quantify the range of renal function estimates that would be observed if different gender coefficients are used in the estimating equations. To compare estimates of renal function (creatinine clearance [CrCl] or estimated glomerular filtration rate [eGFR]) between users and non-users of gender-affirming therapies. To quantify the proportion of subjects who would be deemed ineligible for tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) for preexposure prophylaxis (PrEP) based on the gender coefficient used.

Study Groups

Male sex assigned at birth nonusers of gender-affirming therapy (n= 62)

Male sex assigned at birth users of gender-affirming therapy (n= 112)

Female sex assigned at birth nonusers of gender-affirming therapy (n= 24)

Female sex assigned at birth users of gender-affirming therapy (n= 60)

Inclusion Criteria

Availability of covariates needed to compute renal function (i.e., serum creatinine at initiation of PrEP, race/ethnicity, height, weight, gender identity, and sex assigned at birth)

Exclusion Criteria

Any individual without fully populated covariates

Methods

A retrospective analysis was performed among transgender PrEP users. Creatinine values used in the analysis were obtained before initiating TDF/FTC for PrEP based on three different equations.

(1) Cockcroft–Gault method (CrCl)

(2) Modification of Diet in Renal Disease (MDRD) equation

(3) Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation

The eGFR (CKD-EPI and MDRD) and CrCl (Cockcroft–Gault) values were computed twice for each study participant. The first time with the coefficient for sex assigned at birth, and the second time with the coefficient for gender identity. 

Duration

Between June 2017 and October 2021

Outcome Measures

Primary: estimated kidney function, defined using calculated CrCl or eGFR before initiating TDF/FTC for PrEP based on the three most commonly used estimating equations

Secondary: proportion of individuals with CrCl or eGFR values <60 mL/min who would be deemed ineligible for PrEP with TDF/FTC

Baseline Characteristics

 

Male Sex at Birth

Female Sex at Birth   
  Nonusers of gender-affirming therapy (n= 62)

Users of gender-affirming therapy (n= 112)

p-value

Nonusers of gender-affirming therapy (n= 24) 

Users of gender-affirming therapy (n= 60) p-value

Age, years

32 (26 to 41) 31 (26 to 39) 1.00 27 (22 to 33)  28 (25 to 35) 0.39

Weight, kg

Body mass index, kg/m2

74.4 (61.8 to 86.5)

25.1 (21.8 to 29.4) 

79.5 (66.0 to 94.1)

26.5 (22.7 to 30.7)

0.11

0.13 

78.1 (55.7 to 95.9) 

29.8 (23.8 to 32.6) 

74.5 (64.1 to 88.5)

26.2 (23.2 to 33.2)

0.79 

0.26

Serum creatinine

0.83 (0.74 to 0.97)  0.77 (0.69 to 0.89)  0.007 0.72 (0.64 to 0.77)  0.81 (0.73 to 0.99)  <0.001 

Race

White

Latino/a/x

Black

Asian

 

17.7%

45.2%

14.5%

11.3%

 

21.4%

28.6%

13.4%

0.7%

 

0.42

--

--

--

 

37.5%

12.5%

12.5%

16.7%

 

47.3%

18.2%

5.5%

7.3%

 

0.17

--

--

-- 

Gender identity (male assigned at birth only)

Transgender woman

Female

Male to female

Genderqueer

Gender nonconforming

Nonbinary

Transexual female

Other

Gender fluid

Multiple categories selected

 

35.5%

21.0%

3.2%

1.6%

8.1%

12.9%

1.6%

3.2%

1.6%

11.3%

 

41.1%

39.3%

1.8%

0

0

2.7%

1.8%

4.5%

0.9%

8.0% 

 

0.03

--

--

--

--

--

--

--

--

-- 

 

--

--

--

--

--

--

--

--

--

-- 

 

--

--

--

--

--

--

--

--

--

-- 

 

--

--

--

--

--

--

--

--

--

-- 

Gender identity (female assigned at birth only)

Transgender man

Transmasculine

Female

Male

Female to male

Genderqueer

Gender nonconforming

Nonbinary

Bigender

Other

Multiple categories selected

 

--

--

--

--

--

--

--

--

--

--

-- 

 

--

--

--

--

--

--

--

--

--

--

-- 

 

--

--

--

--

--

--

--

--

--

--

-- 

 

8.3%

4.2%

0

20.8%

0

12.5%

8.3%

25% 

4.2%

4.2%

12.5%

 

36.4%

12.7%

1.8%

10.9%

7.3%

1.8%

0

7.3%

0

7.3%

14.5%

 

0.02

--

--

--

--

--

--

--

--

--

-- 

Values are median (interquartile range [IQR]) unless otherwise specified

Results

Endpoint

Male Sex at Birth

Female Sex at Birth
 

Nonusers of gender-affirming therapy (n= 62)

Users of gender-affirming therapy (n= 112) p-value Nonusers of gender-affirming therapy (n= 24) Users of gender-affirming therapy (n= 60) p-value 

Sex assigned at birth used to populate the gender coefficient in renal function estimating equations

CrCl

eGFRMDRD

eGFRCKD-EPI

 

113 (92 to 134)

108 (90 to 128)

116 (101 to 127)  

 

128 (110 to 151)

119 (99 to 139)

122 (110 to 134)

 

<0.001

0.006 

0.004

 

95 (79 to 116)

101 (83 to 119)

118 (96 to 128)

 

89 (75 to 100)

85 (68 to 96)

101 (79 to 113)

 

0.10 

<0.001

0.001

Gender identity used to populate the gender coefficient in renal function estimating equations

CrCl

eGFRMDRD

eGFRCKD-EPI

 

94 (77 to 107) 

80 (66 to 96) 

94 (74 to 109)  

 

109 (93 to 126) ​​

94 (79 to 104) 

105 (88 to 119) 

 

<0.001 

0.004

0.004 

 

116 (111 to 136)

159 (139 to 163)  

140 (129 to 151)

 

104 (87 to 117) 

112 (91 to 129)

120 (105 to 127) 

 

0.009 

<0.001

<0.001

Values are median (IQR) unless otherwise specified

Among male sex assigned at birth individuals, significantly higher median renal function estimates were observed among users of gender-affirming therapy than nonusers. Conversely, renal function estimates were lower for female sex assigned at birth users of gender-affirming therapy compared with non-users.

There were 17 (6.6%) participants where at least one of the equations/methods yielded a clearance value <60 mL/min and potentially rendered them ineligible to receive TDF/FTC for PrEP. When sex assigned at birth was used to estimate renal function, the proportions of individuals with values <60 mL/min for CrCl, eGFRMDRD, and eGFRCKD-EPI were 2.3%, 2.7%, and 0.4%, respectively; when gender identity was used to estimate renal function, the corresponding proportions were 1.0%, 3.9%, and 1.5%.

Adverse Events

Not disclosed

Study Author Conclusions

Renal function estimates vary considerably with different estimating equations in the transgender population and are modified by the use of gender-affirming therapy. These variations could result in exclusion from drug therapies such as TDF/FTC for PrEP.  Future research should seek to identify suitable markers for improving the accuracy of renal function estimation in the transgender population. 

InpharmD Researcher Critique

The study is inherently limited by its retrospective observational design. Duration of use of gender-affirming therapy was not assessed in the population which could be a confounding variable affecting the validity of the results. Subgroup analysis of differences in creatinine measurements between patients who have received gender-affirming surgeries and those who have not would have yielded more robust results.



References:

Patel N, Blumenthal J, Dubé MP, Hood A, Bolan R, Morris S. Method of Calculating Renal Function Estimates Could Inappropriately Exclude Transgender Patients Receiving Gender-Affirming Hormone Therapy from Pre-Exposure Prophylaxis Eligibility. LGBT Health. 2022;9(3):199-206. doi:10.1089/lgbt.2021.0219