Prevalence of cancer risk factors among transgender and gender diverse individuals: a cross-sectional analysis using UK primary care data.

BACKGROUND: Transgender and gender diverse (TGD) individuals experience an incongruence between their assigned birth sex and gender identity. They may have a higher prevalence of health conditions associated with cancer risk than cisgender people. AIM: To examine the prevalence of several cancer risk factors among TGD individuals compared with cisgender individuals. DESIGN AND SETTING: A cross-sectional analysis was conducted using data from the UK's Clinical Practice Research Datalink to identify TGD individuals between 1988-2020, matched to 20 cisgender men and 20 cisgender women on index date (date of diagnosis with gender incongruence), practice, and index age (age at index date). Assigned birth sex was determined from gender-affirming hormone use and procedures, and sex-specific diagnoses documented in the medical record. METHOD: The prevalence of each cancer risk factor was calculated and the prevalence ratio by gender identity was estimated using log binomial or Poisson regression models adjusted for age and year at study entry, and obesity where appropriate. RESULTS: There were 3474 transfeminine (assigned male at birth) individuals, 3591 transmasculine (assigned female at birth) individuals, 131 747 cisgender men, and 131 827 cisgender women. Transmasculine people had the highest prevalence of obesity (27.5%) and 'ever smoking' (60.2%). Transfeminine people had the highest prevalence of dyslipidaemia (15.1%), diabetes (5.4%), hepatitis C infection (0.7%), hepatitis B infection (0.4%), and HIV infection (0.8%). These prevalence estimates remained elevated in the TGD populations compared with cisgender persons in the multivariable models. CONCLUSION: Multiple cancer risk factors are more prevalent among TGD individuals compared with cisgender individuals. Future research should examine how minority stress contributes to the increased prevalence of cancer risk factors in this population.

Analysis of Mortality Among Transgender and Gender Diverse Adults in England.

Importance: Limited prior research suggests that transgender and gender diverse (TGD) people may have higher mortality rates than cisgender people. Objective: To estimate overall and cause-specific mortality among TGD persons compared with cisgender persons. Design, Setting, and Participants: This population-based cohort study used data from general practices in England contributing to the UK's Clinical Practice Research Datalink GOLD and Aurum databases. Transfeminine (assigned male at birth) and transmasculine (assigned female at birth) individuals were identified using diagnosis codes for gender incongruence, between 1988 and 2019, and were matched to cisgender men and women according to birth year, practice, and practice registration date and linked to the Office of National Statistics death registration. Data analysis was performed from February to June 2022. Main Outcomes and Measures: Cause-specific mortality counts were calculated for categories of disease as defined by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision chapters. Overall and cause-specific mortality rate ratios (MRRs) were estimated using Poisson models, adjusted for index age, index year, race and ethnicity, Index of Multiple Deprivation, smoking status, alcohol use, and body mass index. Results: A total of 1951 transfeminine (mean [SE] age, 36.90 [0.34] years; 1801 White [92.3%]) and 1364 transmasculine (mean [SE] age, 29.20 [0.36] years; 1235 White [90.4%]) individuals were matched with 68 165 cisgender men (mean [SE] age, 33.60 [0.05] years; 59 136 White [86.8%]) and 68 004 cisgender women (mean [SE] age, 33.50 [0.05] years; 57 762 White [84.9%]). The mortality rate was 528.11 deaths per 100 000 person-years (102 deaths) for transfeminine persons, 325.86 deaths per 100 000 person-years (34 deaths) for transmasculine persons, 315.32 deaths per 100 000 person-years (1951 deaths) for cisgender men, and 260.61 deaths per 100 000 person-years (1608 deaths) for cisgender women. Transfeminine persons had a higher overall mortality risk compared with cisgender men (MRR, 1.34; 95% CI, 1.06-1.68) and cisgender women (MRR, 1.60; 95% CI, 1.27-2.01). For transmasculine persons, the overall MMR was 1.43 (95% CI, 0.87-2.33) compared with cisgender men and was 1.75 (95% CI, 1.08-2.83) compared with cisgender women. Transfeminine individuals had lower cancer mortality than cisgender women (MRR, 0.52; 95% CI, 0.32-0.83) but an increased risk of external causes of death (MRR, 1.92; 95% CI, 1.05-3.50). Transmasculine persons had higher mortality from external causes of death than cisgender women (MRR, 2.77; 95% CI, 1.15-6.65). Compared with cisgender men, neither transfeminine nor transmasculine adults had a significantly increased risk of deaths due to external causes. Conclusions and Relevance: In this cohort study of primary care data, TGD persons had elevated mortality rates compared with cisgender persons, particularly for deaths due to external causes. Further research is needed to examine how minority stress may be contributing to deaths among TGD individuals to reduce mortality.

Association between Immunologic Markers and Cirrhosis in Individuals from a Prospective Chronic Hepatitis C Cohort.

Background: Chronic hepatitis C virus (HCV) infection can affect immune response and inflammatory pathways, leading to severe liver diseases such as cirrhosis and hepatocellular carcinoma (HCC). Methods: In a prospective cohort of chronically HCV-infected individuals, we sampled 68 individuals who developed cirrhosis, 91 controls who did not develop cirrhosis, and 94 individuals who developed HCC. Unconditional odds ratios (ORs) from polytomous logistic regression models and canonical discriminant analyses (CDAs) were used to compare categorical (C) baseline plasma levels for 102 markers in individuals who developed cirrhosis vs. controls and those who developed HCC vs. cirrhosis. Leave-one-out cross validation was used to produce receiver operating characteristic curves to assess predictive ability of markers. Lastly, biological pathways were assessed in association with cirrhotic development compared to controls. Results: After multivariable adjustment, DEFA-1 (OR: C2v.C1 = 7.73; p < 0.0001), ITGAM (OR: C2v.C1 = 4.03; p = 0.0002), SCF (OR: C4v.C1 = 0.19; p-trend = 0.0001), and CCL11 (OR: C4v.C1 = 0.31; p-trend= 0.002) were all associated with development of cirrhosis compared to controls; these markers, together with clinical/demographics variables, improved prediction of cirrhosis from 55.7% (in clinical/demographic-only model) to 74.9% accuracy. A twelve-marker model based on CDA results further increased prediction of cirrhosis to 88.0%. While six biological pathways were found to be associated with cirrhosis, cell adhesion was the only pathway associated with cirrhosis after Bonferroni correction. In contrast to cirrhosis, DEFA-1 and ITGAM levels were inversely associated with HCC risk. Conclusions: Pending validation, these findings highlight the important role of immunological markers in predicting HCV-related cirrhosis even 11 years post-enrollment.