Validating a Case Definition for Transgender Adults Using Administrative Data.

Importance: Administrative health data serve as promising data sources to study transgender health at a population level in the absence of self-reported gender identity.

Objective: To develop and validate case definitions identifying transgender adults in administrative data compared with the reference standard of self-reported gender identity in a universal health care setting.

Design, Setting, And Participants: In this cohort study conducted in Alberta, Canada, data from provincial administrative health data sources including inpatient hospitalizations, emergency department encounters, primary care visits, prescription drug dispensations, and the provincial health insurance registry were linked and used to develop 15 case definitions (9 for transgender women and 6 for transgender men).

Characterization of the literature informing health care of transgender and gender-diverse persons: A bibliometric analysis.

Background And Objective: Transgender and gender-diverse (TGD) persons experience health inequities compared to their cisgender peers, which is in part related to limited evidence informing their care. Thus, we aimed to describe the literature informing care provision of TGD individuals.

Data Source, Eligibility Criteria, And Synthesis Methods: Literature cited by the World Professional Association of Transgender Health Standards of Care Version 8 was reviewed.

Transgender and Nonbinary Individuals' Perceptions Regarding Gender-Affirming Hormone Therapy and Cardiovascular Health: A Qualitative Study.

Background: Transgender and nonbinary individuals face substantial cardiovascular health uncertainties. The use of gender-affirming hormone therapy can be used to achieve one's gender-affirming goals. As self-rated health is an important predictor of health outcomes, an understanding of how this association is perceived by transgender and nonbinary individuals using gender-affirming hormone therapy is required.

Association between serum estradiol and cardiovascular health among transgender adults using gender-affirming estrogen therapy.

Gender-affirming estrogen therapy (GAET) is commonly used for feminization in transgender and nonbinary (TNB) individuals, yet the optimal rate of change (ROC) in estradiol levels for cardiovascular health is unclear. We examined the association between serum estradiol levels and cardiovascular-related mortality, adverse events, and risk factors in TNB adults using GAET. Cochrane Central Register of Controlled Trials, EMBASE, MEDLINE, and Web of Science were systematically searched (inception-April 2023) for original articles reporting serum estradiol levels and cardiovascular-related mortality, adverse events, and risk factors in TNB adults using GAET.

Improving the inclusion of transgender and nonbinary individuals in the planning, completion, and mobilization of cardiovascular research.

Cardiovascular disease is the leading cause of morbidity and mortality globally. Transgender and nonbinary (TNB) individuals face unclear but potentially significant cardiovascular health inequities, yet no TNB-specific evidence-based interventions for cardiovascular risk reduction currently exist. To address this gap, we propose a road map to improve the inclusion of TNB individuals in the planning, completion, and mobilization of cardiovascular research.

Serum oestradiol levels and risk of adverse cardiovascular events associated with gender-affirming oestrogen therapy: a protocol for a systematic review and meta-analysis.

Introduction: The use of gender-affirming oestrogen therapy (GAOT) is an integral part of the gender-affirming transition process for transgender women (assigned male at birth who identify as women) and gender-diverse individuals. However, its use may present significant cardiovascular implications, which may be influenced by systemic oestradiol levels. Therefore, we aim to establish the association between serum oestradiol levels and incidence of adverse cardiovascular events in individuals using GAOT.