Pain outcomes following mastectomy or bilateral breast reduction for transgender and nontransgender patients who received pectoralis nerve blocks

Pain mechanisms in the transgender individual: a review

Specific Aim

Provide an overview of the literature addressing major areas pertinent to pain in transgender persons and to identify areas of primary relevance for future research.

Methods

A team of scholars that have previously published on different areas of related research met periodically though zoom conferencing between April 2021 and February 2023 to discuss relevant literature with the goal of providing an overview on the incidence, phenotype, and mechanisms of pain in transgender patients. Review sections were written after gathering information from systematic literature searches of published or publicly available electronic literature to be compiled for publication as part of a topical series on gender and pain in the Frontiers in Pain Research.

Results

While transgender individuals represent a significant and increasingly visible component of the population, many researchers and clinicians are not well informed about the diversity in gender identity, physiology, hormonal status, and gender-affirming medical procedures utilized by transgender and other gender diverse patients. Transgender and cisgender people present with many of the same medical concerns, but research and treatment of these medical needs must reflect an appreciation of how differences in sex, gender, gender-affirming medical procedures, and minoritized status impact pain.

Conclusions

While significant advances have occurred in our appreciation of pain, the review indicates the need to support more targeted research on treatment and prevention of pain in transgender individuals. This is particularly relevant both for gender-affirming medical interventions and related medical care. Of particular importance is the need for large long-term follow-up studies to ascertain best practices for such procedures. A multi-disciplinary approach with personalized interventions is of particular importance to move forward.

Implementation of an Enhanced Recovery after Surgery Pathway for Transgender and Gender-Diverse Individuals Undergoing Chest Reconstruction Surgery: An Observational Cohort Study

Enhanced Recovery After Surgery (ERAS) protocols are associated with improved clinical outcomes in cisgender breast surgery patients. However, a paucity of research exists regarding transgender and gender-diverse individuals (TGD) in the ERAS framework. The primary objective of this observational cohort study is to describe the implementation of a gender-affirming ERAS protocol and its relationship to hospital length of stay (LOS) in TGD patients following chest reconstruction surgery. The secondary aim is to identify intraoperative predictors of LOS and define variables associated with adverse outcomes. We identified 362 patients in three epochs: a traditional group (n = 144), a partial ERAS implementation group (n = 92), and an ERAS group (n = 126). Exploratory multivariable median regression modeling was performed to identify independent predictors of LOS. We report that the traditional group's median hospital LOS was 1.1 days compared to 0.3 days in the ERAS group. Intraoperative tranexamic acid administration was associated with significantly shorter LOS (p < 0.001), reduced postoperative drainage (p < 0.001), and fewer returns to the operating room within 24 h (p = 0.047). Our data suggest that implementing a multimodal ERAS gender-affirming pathway was associated with improved patient-centered surgical outcomes such as decreased return to the operating room for hematoma evacuation, higher rates of discharge home, and reduced postoperative drainage output.

LGBTQ+ health and anaesthesia for obstetric and gynaecological procedures

PURPOSE OF REVIEW

People who self-identify as lesbian, gay, bisexual, transgender, queer, two-spirited and intersex (LGBTQ2SI) make up approximately 10% of the US population. Black, Native American and Latino/a/x communities are known to have a higher percentage of people who self-identify as LGBTQ2SI than white communities. Despite growing acceptance of LGBTQ2SI communities in the USA, these populations continue to experience health inequities. This review article will provide a narrative review of recent publications that discuss topics of LGBTQ2SI health and anaesthetic care during obstetric and gynaecological procedures.

RECENT FINDINGS

Of the articles reviewed for this study, there were four main themes that emerged: inclusion of LGBTQ2SI health topics in curriculum and provider training materials; social determinants of LGBTQ2SI reproductive and overall health; improving the quality and safety of perioperative care for LGBTQ2SI communities; and disparities in perinatal anaesthetic care for LGTBQ2SI communities.

SUMMARY

There are unique considerations when providing anaesthetic care for obstetric and gynaecological procedures to LGBTQ2SI communities. There is a limited, yet growing, body of literature exploring this aspect of perioperative and perinatal care. Researchers and clinicians must continue to pursue clinical research which seeks to improve the quality of care we provide all patients.

Predictive Analytics for Inpatient Postoperative Opioid Use in Patients Undergoing Mastectomy

Introduction: The use of opioids in mastectomy patients is a particular challenge, having to balance the management of acute pain while minimizing risks of continuous opioid use postoperatively. Despite attempts to decrease postmastectomy opioid use, including regional anesthetics, gabapentinoids, topical anesthetics, and nonopioid anesthesia, prolonged opioid use remains clinically significant among these patients. The goal of this study is to identify risk factors and develop machine-learning-based models to predict patients who are at higher risk for postoperative opioid use after mastectomy.

Methods: In this retrospective cohort study, we collected data from patients that underwent mastectomy procedures. The primary outcome of interest was defined as oxycodone milligram equivalents (OME) greater than or equal to the 75% of OME use on a postoperative day 1. Model performance (area under the receiver-operating characteristics curve (AUC)) of various machine learning approaches was calculated via 10-fold cross-validation. Odds ratio (OR) and 95% confidence intervals (CI) were reported.

Results: There were a total of 148 patients that underwent mastectomy and were included. The medium (quartiles) postoperative day 1 opioid use was 5 mg OME (0.25 mg OME). Using multivariable logistic regression, the most protective factors against higher opioid use was being postmenopausal (OR: 0.13, 95% CI: 0.03-0.61, p = 0.009) and cancer diagnosis (OR: 0.19, 95% CI: 0.05-0.73, p = 0.01). The AUC was 0.725 (95% CI: 0.572-0.876). There was no difference in the performance of other machine-learning-based approaches.

Conclusions: The ability to predict patients’ postoperative pain could have a significant impact on preoperative counseling and patient satisfaction.