Australia: con hormonas cruzadas recetadas, mortalidad de 4 a 9 veces la de la población, incluido el suicidio

Mortalidad por todas las causas y por causa específica en personas transgénero y de género diverso: un estudio de cohorte nacional en Australia

Authors
Karinna Saxby, Sasha Bailey, Dennis Petrie, Brendan J. Nolan
Journal
The Lancet Regional Health – Western Pacific
Year
2026

Summary

Australian researchers used national prescription, healthcare and death records to find about 29,000 people they classed as trans because they had filled a cross-sex hormone prescription: testosterone for people recorded as female, oestrogen for people recorded as male. They compared deaths with about 20 million people who saw a family doctor, adjusting only for age and start date. Over roughly three to four years, people on cross-sex hormones died at four to nine times the comparison rate. They had much higher rates of suicide, other violent or accidental deaths, cancer and heart disease. The authors blame stigma and gaps in care and say hormones are not the cause. But the study measured neither. A single prescription is a loose way to decide who is trans, and may include people treated for other illnesses. The results show more deaths in this group but cannot explain why.

Key findings

  • El estudio incluyó a 9.713 personas registradas como mujeres (edad media de 25 años, seguidas unos 3 años) y 19.347 registradas como varones (edad media de 36 años, seguidos casi 4 años), encontradas a través de recetas de hormonas del sexo opuesto de 2012 a 2023.
  • Se las comparó con unos 20 millones de personas que vieron a un médico de familia, emparejadas solo por edad y por el mes y año en que entraron en el estudio.
  • Las muertes por cualquier causa fueron unas 9 veces mayores en el grupo registrado como mujer y unas 4 veces mayores en el registrado como varón; murieron el 0,6 % y el 5,5 % durante el estudio.
  • El suicidio fue unas 12 veces mayor en el grupo registrado como mujer y 4 veces mayor en el registrado como varón; otras muertes violentas o accidentales fueron unas 9 y 3 veces mayores.
  • Las muertes por cáncer fueron unas 8 y 5 veces mayores, y las muertes por enfermedades del corazón y los vasos sanguíneos unas 16 y 3 veces mayores, con las mayores diferencias en edades más avanzadas.
  • En el grupo registrado como varón, el riesgo adicional de suicidio disminuía cuanto más tiempo llevaban las personas con hormonas; en el grupo registrado como mujer, el riesgo adicional global de muerte aumentaba con el tiempo.
  • Los autores atribuyen las muertes al estrés de ser una minoría y a las barreras para acceder a la atención sanitaria, y dicen que las muertes no deben achacarse a las hormonas, pero el estudio no midió ninguna de las dos cosas.

Abstract

BACKGROUND: Transgender and gender diverse ('trans') people may be at increased risk of mortality, particularly from external causes, however, large-scale, population-based evidence remains scarce. This study aims to document all-cause and cause-specific mortality among trans people. METHODS: We source administrative data on healthcare and death records (2012-2023) from all Australians aged 15 years and above. Individuals identified as trans (initiated gender-affirming hormone therapy) were matched to the general population who visited a General Practitioner during the same period. Cox proportional hazard models were used to estimate all-cause and cause-specific mortality risk for trans people, with models estimated separately for people who were assigned female sex at birth (AFAB) and people who were assigned male sex at birth (AMAB). Inverse probability weights were applied to balance comparators on month-year and age at entry. Results were additionally stratified by age (15-24, 25-39, 40-59, and ≥60 years). FINDINGS: A total of 19,347 trans people AMAB (mean age 36.2 years; median follow-up 3.7 years) and 9713 trans people AFAB (mean age 25.4 years; median follow-up 2.8 years) were matched with 9,879,037 general population males (mean age 44.4; median follow-up 11.3 years) and 10,282,651 general population females (mean age 44.9; median follow-up 11.4 years), respectively. All-cause mortality was significantly higher for trans people AMAB [HR = 3.89 (95% CI 33.65; 4.14)] and trans people AFAB [HR = 9.03 (95% CI 6.90; 11.83)]. For trans people AFAB, cause-specific mortality was elevated for cardiovascular disease [HR = 16.39 (95% CI 8.56; 31.37)], suicide [HR = 11.73 (95% CI 6.94; 19.80)], external causes [HR = 8.95 (95% CI 5.69; 14.09)], and cancer [HR = 7.62 (95% CI 4.61; 12.61)]. For trans people AMAB, cause-specific mortality was elevated for cancer [HR = 5.12 (95% CI 4.67; 5.61)], suicide [HR = 4.02 (95% CI 3.12; 5.18)], external causes [HR = 2.78 (95% CI 2.31; 3.35)], and cardiovascular disease [HR = 2.60 (95% CI 2.22; 3.05)]. Older trans people had more pronounced excess risk from cancer and cardiovascular disease. For trans people AFAB, excess mortality from suicide and external causes increased with age, whereas for trans people AMAB relative risks were higher in young and middle adulthood. INTERPRETATION: In this nationwide cohort study, trans Australians experienced substantially elevated mortality risk. Tailored policy responses are needed to address premature mortality in trans populations. FUNDING: University of Melbourne McKenzie Fellowship (2025MCK182); the National Health and Medical Research Council (2008956); Viertel Charitable Foundation; University of Melbourne Faculty Research Grant (2025FRG19).

Conclusion

In this nationwide cohort study, trans Australians experienced substantially elevated mortality risk. Tailored policy responses are needed to address premature mortality in trans populations, including cardiovascular disease and cancer prevention (risk-factor management, screening uptake and continuity of care), alongside strategies to prevent deaths from external causes, including suicide. The authors state that the elevated mortality should not be interpreted as attributable to gender-affirming hormone therapy itself, and that policy responses should address the social factors, such as stigma and discrimination, that they argue perpetuate these inequities.