Graduate Medical Education in Pathology: A Scoping Review.

CONTEXT.­: Pathologists have produced a substantial body of literature on graduate medical education (GME). However, this body of literature is diverse and has not yet been characterized. OBJECTIVE.­: To chart the concepts, research methods, and publication patterns of studies on GME in pathology. DATA SOURCES.­: This was a systematic scoping review covering all literature produced since 1980 in the PubMed and Embase databases. CONCLUSIONS.­: Research on GME in pathology is evenly dispersed across educational topics. This body of literature would benefit from research based on theory, stronger study designs, and studies that can provide evidence to support decisions on educational policies.

The incidence of transfusion-related acute lung injury using active surveillance: A systematic review and meta-analysis.

BACKGROUND: Transfusion-related acute lung injury (TRALI) is a leading cause of transfusion-related mortality. A concern with passive surveillance to detect transfusion reactions is underreporting. Our aim was to obtain evidence-based estimates of TRALI incidence using meta-analysis of active surveillance studies and to compare these estimates with passive surveillance. STUDY DESIGN AND METHODS: We performed a systematic review and meta-analysis of studies reporting TRALI rates. A search of Medline and Embase by a research librarian identified studies published between January 1, 1991 and January 20, 2023. Prospective and retrospective observational studies reporting TRALI by blood component (red blood cells [RBCs], platelets, or plasma) were identified and all inpatient and outpatient settings were eligible. Adult and pediatric, as well as general and specific clinical populations, were included. Platelets and plasma must have used at least one modern TRALI donor risk mitigation strategy. A random effects model estimated TRALI incidence by blood component for active and passive surveillance studies and heterogeneity was examined using meta-regression. RESULTS: Eighty studies were included with approximately 176-million blood components transfused. RBCs had the highest number of studies (n = 66) included, followed by platelets (n = 35) and plasma (n = 34). Pooled TRALI estimates for active surveillance studies were 0.17/10,000 (95% confidence intervals [CI]: 0.03-0.43; I2 = 79%) for RBCs, 0.31/10,000 (95% CI: 0.22-0.42; I2 = <1%) for platelets, and 3.19/10,000 (95% CI: 0.09-10.66; I2 = 86%) for plasma. Studies using passive surveillance ranged from 0.02 to 0.10/10,000 among the various blood components. DISCUSSION: In summary, these estimates may improve a quantitative understanding of TRALI risk, which is important for clinical decision-making weighing the risks and benefits of transfusion.

Meta-analysis of bacterial growth characteristics in platelet components: Refining the inputs of a simulation analysis comparing the relative safety of testing strategies.

BACKGROUND: The relative safety of bacterial risk control strategies for platelets that include culture with or without rapid testing has been compared using simulation analysis. A wide range of bacterial lag and doubling times were included. However, published data on growth rates are available and these data have not been synthesized. We conducted a systematic review and meta-analysis to estimate growth rates and used these estimates to refine a comparative safety analysis of bacterial risk control strategies in the FDA guidance STUDY DESIGN AND METHODS: Data were extracted from published studies on bacterial growth rates in platelet components during storage. These data were used to estimate the practical range of growth rates. This refined the inputs for a simulation model comparing the safety of the testing strategies. RESULTS: In total, 108 growth curves for 11 different aerobic organisms were obtained. Doubling times ranged from 0.8 to 12 h, but the lower 90% range was approximately 1-5 h. The revised comparative safety simulation using the narrower 1-5-h range showed similar rankings to the prior simulation, with 48-h large-volume delayed sampling with 7-day expiration (48C-7) demonstrating the lowest-ranking relative performance at the 103 and 105 colony forming unit (CFU)/mL exposure thresholds. DISCUSSION: This was a two-step study. First, meta-analysis of published data on aerobic bacterial growth rates in stored platelets showed the vast majority of doubling times were 1-5 h. Next, an updated comparative safety simulation yielded similar results to a prior study, with 48C-7 showing the least favorable relative safety performance.

Laboratory-Developed Tests Account for a Small Minority of Tests Ordered in an Academic Hospital System.

OBJECTIVES: To determine the frequency of use of laboratory-developed tests (LDTs) in an academic medical center system. METHODS: Retrospective analysis of 2021 test order data from an academic medical center (hospital, outpatient clinics, and cancer center) was done. Measures included assay type, assay methodology, regulatory status, test order volume, inpatient vs outpatient setting, and provider medical specialty. RESULTS: Of the 3,016,928 tests ordered in 2021, 2,831,489 (93.9%) were tests cleared, approved, and/or authorized by the US Food and Drug Administration (FDA); 116,583 (3.9%) were LDTs; and 68,856 (2.3%) were standard methods. These test orders were performed using a total of 1,954 distinct assays. Of these, 983 (50.3%) were FDA assays, 880 (45.0%) were LDTs, and 91 (4.7%) were standard methods. Laboratory-developed tests were more commonly ordered in the outpatient vs inpatient setting and represented a higher proportion of the test volume at the cancer center compared with the university hospital (5.6% vs 3.6%, respectively). The top 167 LDT assays accounted for 90% of the LDT volume (104,996 orders). Among the 20 most frequently ordered LDTs were mass spectrometry assays and tests used in the care of immunocompromised patients. Internal/family medicine placed the greatest number of orders (1,044,642) and ordered one of the lowest proportions of LDTs (3.2%). CONCLUSIONS: Laboratory-developed tests made up a small percentage of the total laboratory tests ordered within the academic health system studied.

Precision quality control: a dynamic model for risk-based analysis of analytical quality.

OBJECTIVES: There is continuing pressure to improve the cost effectiveness of quality control (QC) for clinical laboratory testing. Risk-based approaches are promising but recent research has uncovered problems in some common methods. There is a need for improvements in risk-based methods for quality control. METHODS: We provide an overview of a dynamic model for assay behavior. We demonstrate the practical application of the model using simulation and compare the performance of simple Shewhart QC monitoring against Westgard rules. We also demonstrate the utility of trade-off curves for analysis of QC performance. RESULTS: Westgard rules outperform simple Shewhart control over a narrow range of the trade-off curve of false-positive and false negative risk. The risk trade-off can be visualized in terms of risk, risk vs. cost, or in terms of cost. Risk trade-off curves can be "smoothed" by log transformation. CONCLUSIONS: Dynamic risk-models may provide advantages relative to static models for risk-based QC analysis.

Risk Analysis for Quality Control Part 3: Practical Application of the Precision Quality Control Model.

BACKGROUND: We developed a theoretical framework (Precision Quality Control [PQC]) to minimize the cost of quality, but it is not known whether the method can be applied in practice. METHODS: We used data for 2 analytes, cadmium and carbohydrate-deficient transferrin (CDT), and applied the PQC framework to find the optimal control limits. These analytes were selected because they differed with respect to sigma values that are major determinants of control limits. We explored different ways to visualize the results: (a) risk trade-off (false-positive risk vs false-negative risk), (b) cost-risk trade-off (false-positive cost vs false-negative risk), and (c) cost minimization. RESULTS: We were able to use the PQC limit to produce 3 different visualizations to suggest control limits. The risk-based analysis was the simplest to apply, but the most difficult to interpret. The cost vs risk method was easy to apply but was still difficult to interpret. The cost minimization method was easy to interpret but required users to declare a willingness to pay that may be difficult to estimate. CONCLUSIONS: The PQC method can be used to find control limits that minimize the cost of quality.

Risk Analysis for Quality Control Part 1: The Impact of Transition Assumptions in the Parvin Model.

BACKGROUND: Setting quality control (QC) limits involves balancing the risk of false-positive results and false-negative results. Recent approaches to QC have focused on the assessment of false-negative results. The Parvin model is the most-used model for risk analysis. The Parvin model assumes that the system makes a transition from an in-control to an out-of-control (OOC) state but makes no further transitions after moving to the OOC state. The implications of this assumption are unclear. METHODS: We used simulation experiments to compare the performance of QC systems based on no OOC transitions allowed (NOOCTA) vs systems where OOC transitions were allowed (OOCTA). RESULTS: The NOOCTA assumption leads to paradoxical tradeoff curves between false-positive results and false-negative results. Predictions of a false-negative result based on NOOCTA were about 10 times lower than models based on OOCTA. CONCLUSIONS: The most common models for QC risk analysis underestimate false-negative results. There is a need to develop better risk-based methods for QC analysis.

Risk Analysis for Quality Control Part 2: Theoretical Foundations for Risk Analysis.

BACKGROUND: Risk analysis can be used to determine control limits for quality control (QC). The Parvin model is the most commonly used method for risk analysis; however; the Parvin model rests on assumptions that have been shown to produce paradoxical results and to underestimate risk. There is a need for an improved framework for risk analysis. METHODS: We developed a dynamic model (Markov Reward Model) to analyze the long-term behavior of an assay under the influence of a QC monitoring system. The model is flexible and accounts for different patterns of assay behavior (shift frequency, shift distribution) and the impact of error on patient outcomes. The model determines the distribution of undetected reported errors and the frequency of false-positive laboratory results as a function of QC settings. The model accounts for the competing risks (false detections, shifts in the mean) that cause an assay to move from an in-control state to an out-of-control state. RESULTS: The model provides a tradeoff curve that expresses the cost to prevent an unacceptable reported result in terms of laboratory cost (false-positive QC). The model can be used to optimize settings of a particular QC method or to compare the performance of different methods. CONCLUSIONS: We developed a method to evaluate that determines the cost to reduce the risk to patients (reported results with unacceptable errors) in terms of laboratory costs (false-positive QC).

The epidemiology of transfusion-related acute lung injury: A scoping review and analysis.

BACKGROUND: The purpose of this scoping review was to identify available sources of evidence on the epidemiology of transfusion-related acute lung injury (TRALI) and whether meta-analysis on the incidence of TRALI is feasible. TRALI is a serious complication and the second leading cause of death related to blood transfusion. Estimates of the incidence of TRALI would provide a useful benchmark for research to reduce TRALI. STUDY DESIGN AND METHODS: We searched the Medline, EMBASE, and PubMed databases for publications related to the incidence of TRALI and hemovigilance. We included all studies irrespective of language or country. Both full-text articles and conference abstracts were included. Participants of the studies must all have received a blood transfusion. Reviews and case studies were excluded. RESULTS: We identified 427 articles or abstracts to include for review. More than half were abstracts, and the majority were published after 2010. Reported TRALI definitions varied, but only 27.2% of studies reported any definition for TRALI. TRALI rates were reported using different denominators, such as per blood unit (54.1%), patient (34.4%), and transfusion episode (14.8%). Study populations and contexts were mostly general (75.6% and 80.3%, respectively). There was also variation in study design with most being observational (90.6%) and only 13.1% of all studies used modern donor restriction policies. DISCUSSION: There was substantial variation in reporting in studies on TRALI incidence. Meta-analysis of TRALI rates may be feasible in specific circumstances where reporting is clear. Future studies should clearly report key items, such as a TRALI definition.

Impact of assay stability on the false negative and false positive rates in quality control.

BACKGROUND: The dynamic Precision QC (PQC) model can be used to evaluate the performance of quality control (QC) monitoring systems. The model depends on inputs that describe the intrinsic shift behavior (i.e., stability) of an assay. The output of the model is a trade-off curve that shows the relationship between false negative (FN) and false positive (FP) risk events. The relationship between the inputs and outputs of this model has not yet been explored. METHODS: We used Monte Carlo simulation to generate trade-off curves using the PQC. We varied the input parameters that determine assay stability (shift probability and shift size distribution) and studied the impact of these inputs on the output (i.e., the trade-off curve relating FN risk to FP risk). RESULTS: FN risk is sensitive to the shift probability and the width of the control limits. FN risk is sensitive to the shape of the shift size distribution when the standard deviation (SD) of the shift size distribution is relatively narrow (i.e., SD < 2) but is less sensitive to the width of the shift size distribution when the SD is relatively large (i.e., SD > 2). CONCLUSIONS: Practical use of the PQC model may require the estimation of the shift probability and shift size distribution.

Bacterial culture time to detection in platelet components: An evidence synthesis and estimation of detection failures.

BACKGROUND: Non-pathogen reduction platelet bacterial risk control strategies in the US FDA guidance include at least one culture. Almost all of these strategies have a culture hold time of ≥12 h. Studies have reported time to detection (TTD) of bacterial cultures inoculated with bacteria from contaminated platelets, but these data and estimates of risk associated with detection failures have not been synthesized. METHODS: We performed a literature search to identify studies reporting TTD for samples obtained from spiked platelet components. Using extracted data, regression analysis was used to estimate TTD for culture bottles at different inoculum sizes. Detection failures were defined as events in which contaminated components are transfused to a patient. We then used published data on time of transfusion (ToT) to estimate the risk of detection failures in practice. RESULTS: The search identified 1427 studies, of which 16 were included for analysis. TTD data were available for 16 different organisms, including 14 in aerobic cultures and 11 in anaerobic cultures. For inocula of 1 colony forming unit (CFU), the average TTD for aerobic organisms was 19.2 h while it was 24.9 h in anaerobic organisms, but there was substantial overall variation. A hold time of 12 versus 24 h had minimal effect for most organisms. CONCLUSION: TTD variation occurs between bacterial species and within a particular species. Under typical inventory management, the relative contribution of culture detection failures is much smaller than the residual risk from sampling failures. Increasing the hold period beyond 12 h has limited value.

Distribution of High-Sensitivity Cardiac Troponin and N-Terminal Pro-Brain Natriuretic Peptide in Healthy Transgender People.

Importance: Sex-specific differences in the commonly used cardiac biomarkers high-sensitivity cardiac troponin (hs-cTn) and N-terminal pro-brain natriuretic peptide (NT-proBNP) are apparent. There is an absence of medical literature delineating the concentration differences for these biomarkers in transgender individuals without cardiac disease. Objective: To determine the distribution of hs-cTn and NT-proBNP in healthy transgender people. Design, Setting, and Participants: In this cross-sectional prospective study, healthy transgender individuals prescribed testosterone or estradiol for 12 months or more were recruited from internal medicine and primary care clinics that specialize in transgender medical care between November 1, 2017, and July 1, 2018. Exposures: Testosterone or estradiol for 12 months. Main Outcomes and Measures: Concentrations for hs-cTnI (troponin I), hs-cTnT (troponin T), and NT-proBNP were measured. Results: Transgender people prescribed testosterone (n = 79; mean [SD] age, 28.8 [7.8] years) or estrogen (n = 93; mean [SD] age, 35.1 [11.7] years) were recruited. The concentration of hs-cTn was significantly higher in transgender men relative to transgender women. For Abbott hs-cTnI levels, the median (IQR) concentration observed in transgender men and women was 0.9 (0.6-1.7) ng/L and 0.6 (0.3-1.0) ng/L, respectively. Results were similar across 2 additional hs-cTn assays. In contrast, NT-proBNP level was higher in transgender women. The median (IQR) NT-proBNP concentration was significantly higher in transgender women ( 49 [32-86] ng/L) than in transgender men (17 [13-27] ng/L). Conclusions and Relevance: Findings of this cross-sectional study suggest that the differences in concentration for hs-cTn and NT-proBNP between transgender men and women were similar to what is observed between cisgender men and women. Sex hormones, rather than sex assigned at birth, may be a stronger driver of the observed concentration differences between healthy men and women for biomarkers of cardiac disease.

Reference Intervals for Clinical Chemistry Analytes for Transgender Men and Women on Stable Hormone Therapy.

BACKGROUND: Gender-affirming hormone therapy with either estradiol or testosterone is commonly prescribed for transgender individuals. Masculinizing or feminizing hormone therapy may impact clinical chemistry analytes, but there is currently a lack of published reference intervals for the transgender population. METHODS: Healthy transgender and nonbinary individuals who had been prescribed either estradiol (n = 93) or testosterone (n = 82) for at least 12 months were recruited from primary care and internal medicine clinics specializing in transgender medical care. Electrolytes, creatinine, urea nitrogen, enzymes (alkaline phosphatase, ALK; alanine aminotransferase, ALT; aspartate aminotransferase, AST; gamma-glutamyltransferase, GGT), hemoglobin A1c, lipids [total cholesterol, high-density lipoprotein (HDL), triglycerides], and high-sensitivity C-reactive protein (hsCRP) were measured on 2 clinical chemistry platforms. Reference intervals (central 95%) were calculated according to Clinical Laboratory Standards Institute guidelines. RESULTS: There was minimal impact of gender-affirming hormone therapy on electrolytes, urea nitrogen, hemoglobin A1c, and hsCRP. In general, the enzymes studied shifted toward affirmed gender. Creatinine values for both transgender cohorts overlaid the reference interval for cisgender men, with no shift toward affirmed gender for the estradiol cohort. The effects on lipids were complex, but with a clear shift to lower HDL values in the testosterone cohort relative to cisgender women. CONCLUSIONS: Transgender individuals receiving either masculinizing or feminizing hormone therapy showed significant changes in some analytes that have sex-specific variation in the cisgender population. The clearest shifts toward affirmed gender were seen with enzymes for the estradiol and testosterone cohorts and with creatinine and HDL in the testosterone cohort.

Performance of MPO-ANCA and PR3-ANCA immunoassays for the stratification of specific ANCA-associated vasculitis: A systematic review and meta-analysis.

OBJECTIVE: To determine the impact of myeloperoxidase (MPO) and proteinase 3 (PR3) antigen-specific immunoassays in the stratification of patients at-risk for anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitides (AAV) at diagnosis. METHODS: A Medline search was conducted to identify diagnostic accuracy studies using PR3-ANCA or MPO-ANCA for the evaluation of granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), and eosinophilic granulomatosis with polyangiitis (EGPA). Studies estimates were pooled using the bivariate method. RESULTS: Diagnostic accuracy varied by analyte and AAV subtype. PR3-ANCA had greater sensitivity than MPO-ANCA for GPA (74% vs 11%, p < 0.001) and MPO-ANCA greater sensitivity for MPA (73% vs 7%, p < 0.001). Specificities of both MPO-ANCA and PR3-ANCA were consistently high (mean 97%, range: 93-99%) for both AAV subtypes. There was insufficient data to perform meta-analysis for the diagnostic accuracy of EPGA. CONCLUSION: These results validate the use of high quality MPO-ANCA and PR3-ANCA immunoassays to screen patients at-risk for AAV as well as to categorize disease as GPA or MPA subtype. However, caution must be exercised in doing so, since some assays may not have optimal performance. Each laboratory should validate appropriate algorithms based on the tests used and testing population.

Antibodies against biotin-labeled red blood cells can shorten posttransfusion survival.

BACKGROUND: In hematologic and transfusion medicine research, measurement of red blood cell (RBC) in vivo kinetics must be safe and accurate. Recent reports indicate use of biotin-labeled RBC (BioRBC) to determine red cell survival (RCS) offers substantial advantages over 51 Cr and other labeling methods. Occasional induction of BioRBC antibodies has been reported. STUDY DESIGN AND METHODS: To investigate the causes and consequences of BioRBC immunization, we reexposed three previously immunized adults to BioRBC and evaluated the safety, antibody emergence, and RCS of BioRBC. RESULTS: BioRBC re-exposure caused an anamnestic increase of plasma BioRBC antibodies at 5-7 days; all were subclass IgG1 and neutralized by biotinylated albumin, thus indicating structural specificity for the biotin epitope. Concurrently, specific antibody binding to BioRBC was observed in each subject. As biotin label density increased, the proportion of BioRBC that bound increased antibody also increased; the latter was associated with proportional accelerated removal of BioRBC labeled at density 6 µg/mL. In contrast, only one of three subjects exhibited accelerated removal of BioRBC density 2 µg/mL. No adverse clinical or laboratory events were observed. Among three control subjects who did not develop BioRBC antibodies following initial BioRBC exposure, re-exposure induced neither antibody emergence nor accelerated BioRBC removal. DISCUSSION: We conclude re-exposure of immunized subjects to BioRBC can induce anamnestic antibody response that can cause an underestimation of RCS. To minimize chances of antibody induction and underestimation of RCS, we recommend an initial BioRBC exposure volume of ≤10 mL and label densities of ≤18 µg/mL.

Histologic and Molecular Characterization of Non-Small Cell Lung Carcinoma With Discordant ROS1 Immunohistochemistry and Fluorescence In Situ Hybridization.

INTRODUCTION: ROS1 immunohistochemical (IHC) positivity requires follow-up with confirmatory testing such as fluorescence in situ hybridization (FISH). Identifying predictive characteristics of false positive ROS1 IHC cases could aid in optimizing testing algorithms, decrease testing costs and preserve tissue. MATERIALS AND METHODS: Retrospective results were retrieved for 2054 patients with non-small cell lung carcinoma submitted to our laboratory for molecular testing. Reflex ROS1 FISH was done on all ROS1 immunoreactive cases using ROS1 D4D6 antibody. Staining intensity and histo-score was recorded for all ROS1 immunoreactive cases. Results of any additional molecular testing (KRAS, BRAF, EGFR, ALK FISH, RET FISH, MET FISH) were also tabulated. RESULTS: ROS1 immunoreactivity was seen in 305/2054 (14.8%) cases. Immunoreactivity was weak in majority of the cases with only 4.6% cases having an histo-score >100 and 5.9% of cases had moderate staining intensity. FISH was negative in 99% (302/305) cases with any degree of IHC expression (discordant cases) while 3 cases were positive by FISH. Diffuse strong IHC staining in greater than 90% of the tumor was noted in 6 cases, 3 (0.98%) of which were confirmed to have ROS1 rearrangement by FISH. The discordant cases had significantly higher rates of EGFR mutations (P<0.0005) in comparison to ROS1 IHC negative cases, were seen more often in adenocarcinoma and adenosquamous cell carcinoma (P<0.0005) with lepidic and acinar patterns, and more likely to occur in primary lung carcinomas (P<0.0005). CONCLUSIONS: False positive ROS1 immunoreactivity was very frequent, occurred more commonly in primary NSCLC cases with acinar and/or lepidic histologies and was more likely in EGFR mutated cases. Using higher positivity thresholds for ROS1 IHC and incorporating the histologic and molecular correlates into algorithmic strategies could result in increased specificity and clinical utility of ROS1 IHC assay.

Nonhormone-Related Histologic Findings in Postsurgical Pathology Specimens From Transgender Persons.

OBJECTIVES: The objective of this review is to characterize the literature addressing postprocedural complications in persons undergoing gender-affirming surgeries. METHODS: A literature search using the OVID MEDLINE and PubMed databases was performed to identify all studies describing histologic findings in surgical pathology specimens from transgender persons from 1946 to April 2021. The studies describing postsurgical complications were categorized based on anatomic site, type of complication, study design, publication region, and date. RESULTS: Thirty-nine studies describing postsurgical complications in transgender women were identified. The most common sites of postprocedural pathology included the breasts and neovagina, with additional studies including buttocks and thighs, cutaneous sites, and the pulmonary system. Most of the literature comprised case reports, followed by case series and comparative studies. The search did not identify any studies of complications secondary to masculinizing surgeries. CONCLUSIONS: This body of literature is small but growing. Most studies are case reports. There are significant gaps in the literature. The literature in this area is not yet mature enough to support a meta-analysis.

Histologic Findings in Surgical Pathology Specimens From Individuals Taking Feminizing Hormone Therapy for the Purpose of Gender Transition.

CONTEXT.­: Transgender women experience health disparities in all areas of medicine. Within surgical pathology, knowledge gaps relating to the concepts of transgender care exist. Medical transition for transgender women and transfeminine persons may involve hormone therapy and/or surgery to feminize the body. Understanding the common histologic changes in specimens from feminizing surgeries, as well as other specimens from patients on feminizing hormone therapy, will aid surgical pathologists in providing better care to this unique patient population. OBJECTIVE.­: To summarize histologic findings in surgical pathology specimens from transgender women taking feminizing hormones. DATA SOURCES.­: A systematic review of the OVID Medline and PubMed databases was performed to identify all studies describing histologic findings in surgical pathology specimens from transgender women from 1946 to 2019. CONCLUSIONS.­: Much of the literature to date describing histologic findings in transgender women comes from the examination of genitourinary specimens removed during feminizing surgeries. Common benign changes associated with feminizing hormone therapy include the development of acini and lobules in the breast, testicular tubular changes, and squamous metaplasia of the prostate and urethra. Neoplastic cases include breast adenocarcinoma and fibroepithelial lesions, testicular germ cell tumors, prostatic adenocarcinoma, anal squamous cell carcinoma, pituitary adenomas, and meningiomas. Additional studies assessing the findings in other organ systems as well as population-based studies assessing rates of neoplasia are needed. However, future research relies on engagement within the surgical pathology community as well as collaboration with clinicians and patients to achieve optimal results.

Histologic Findings in Surgical Pathology Specimens From Individuals Taking Masculinizing Hormone Therapy for the Purpose of Gender Transition.

CONTEXT.­: Transgender men and transmasculine persons experience a discordance between the female sex they were assigned at birth and their gender. They may choose to take hormone therapy and/or undergo surgery to masculinize the body. Understanding the common (and less common) histologic changes present in patients taking masculinizing hormones will empower pathologists to better serve this unique patient population. OBJECTIVE.­: To summarize histologic findings in surgical pathology specimens from persons taking masculinizing hormones as a part of gender transition. DATA SOURCES.­: A systematic review of the OVID Medline and PubMed databases was performed to identify all studies describing histologic findings in surgical pathology specimens from transgender men from January 1946 to January 2021. CONCLUSIONS.­: Publication in this area has markedly increased in the last 2 decades. However, most of the studies identified were descriptive and case reports describing changes seen in specimens removed as a part of masculinizing surgical procedures. Benign histologic findings include stromal hyalinization and epithelial atrophy in the breast, polycystic ovarian syndrome-like changes in the ovary, and transitional cell metaplasia in the cervix. The most commonly reported neoplastic finding was adenocarcinoma of the breast, with rare cases of ovarian, endometrial, cervical, vaginal, pituitary, pancreatic, and cardiovascular neoplasia also reported. Ongoing research in this area is needed to better characterize the histologic findings in persons taking masculinizing hormones to provide a deeper understanding of the effect of these treatments on different tissues and facilitate better patient management.

Platelet Component False Positive Detection Rate in Aerobic and Anaerobic Primary Culture: A Systematic Review and Meta-Analysis.

Septic reactions from platelet transfusions are one of the leading causes of transfusion-associated mortality. The FDA guidance for platelet bacterial risk control includes bacterial culture using both aerobic and anaerobic bottles. Several studies have reported false positive rates (FPR) of culture, but these data have not been summarized or influencing factors analyzed. A systematic review and meta-analysis was performed according to published guidelines to assess the false positive rate and influencing factors. Eighteen studies were included for analysis. The combined aerobic/anaerobic FPR was 2.4 events per thousand (EPT) with a prediction interval of 0.5 to 5.7, while the aerobic FPR rate was 1.0 EPT (prediction interval: 0.2-2.2) and the anaerobic rate was 1.8 EPT. Estimates were based on a total of almost 5 million units tested. The rate of false positives due to instrument error was between 0.5-1.7 EPT, while it was between 0.3-1.0 EPT for sampling contamination based on whether only aerobic, anaerobic, or aerobic/anaerobic cultures were performed. The FPR is approximately 2 to 5 times higher than the literature reported true positive rate of 0.5 EPT.