'X' marks the spot! Utilising factor Xa inhibitors to optimise thromboprophylaxis in multiple myeloma.

Venous thromboembolism (VTE) remains a significant cause of morbidity and mortality among multiple myeloma patients. Chang and colleagues' findings indicate that factor Xa inhibitors are as effective as warfarin in preventing VTE without raising the risk of gastrointestinal or intracranial bleeding complications. Commentary on: Chang et al. The comparative efficacy and safety of factor Xa inhibitors and warfarin for primary thromboprophylaxis in multiple myeloma patients undergoing immunomodulatory therapy. Br J Haematol 2024;205:473-477.

Paxlovid use is associated with lower risk of cardiovascular diseases in COVID-19 patients with autoimmune rheumatic diseases: a retrospective cohort study.

BACKGROUND: Paxlovid has been shown to be effective in reducing mortality and hospitalization rates in patients with coronavirus disease 2019 (COVID-19). It is not known whether Paxlovid can reduce the risk of cardiovascular diseases (CVD) in COVID-19-surviving patients with autoimmune rheumatic diseases (AIRDs). METHODS: TriNetX data from the US Collaborative Network were used in this study. A total of 5,671,395 patients with AIRDs were enrolled between January 1, 2010, and December 31, 2021. People diagnosed with COVID-19 were included in the cohort (n = 238,142) from January 1, 2022, to December 31, 2022. The Study population was divided into two groups based on Paxlovid use. Propensity score matching was used to generate groups with matched baseline characteristics. The hazard ratios (HRs) and 95% confidence intervals of cardiovascular outcomes, admission rate, mortality rate, and intensive care unit (ICU) admission rate were calculated between Paxlovid and non-Paxlovid groups. Subgroup analyses on sex, age, race, autoimmune diseases group, and sensitivity analyses for Paxlovid use within the first day or within 2-5 days of COVID-19 diagnosis were performed. RESULTS: Paxlovid use was associated with lower risks of cerebrovascular complications (HR = 0.65 [0.47-0.88]), arrhythmia outcomes (HR = 0.81 [0.68-0.94]), ischemic heart disease, other cardiac disorders (HR = 0.51 [0.35-0.74]) naming heart failure (HR = 0.41 [0.26-0.63]) and deep vein thrombosis (HR = 0.46 [0.24-0.87]) belonging to thrombotic disorders in AIRD patients with COVID-19. Compared with the Non-Paxlovid group, risks of major adverse cardiac events (HR = 0.56 [0.44-0.70]) and any cardiovascular outcome mentioned above (HR = 0.76 [0.66-0.86]) were lower in the Paxlovid group. Moreover, the mortality (HR = 0.21 [0.11-0.40]), admission (HR = 0.68 [0.60-0.76]), and ICU admission rates (HR = 0.52 [0.33-0.80]) were significantly lower in the Paxlovid group than in the non-Paxlovid group. Paxlovid appears to be more effective in male, older, and Black patients with AIRD. The risks of cardiovascular outcomes and severe conditions were reduced significantly with Paxlovid prescribed within the first day of COVID-19 diagnosis. CONCLUSIONS: Paxlovid use is associated with a lower risk of CVDs and severe conditions in COVID-19-surviving patients with AIRD.

The prevalence of obstructive sleep apnea syndrome after COVID-19 infection.

Obstructive sleep apnea is a well-known risk factor regarding the severity of COVID-19 infection. However, to date, relatively little research performed on the prevalence of obstructive sleep apnea in COVID-19 survivors. The purpose of this study was to investigate the risk of obstructive sleep apnea after COVID-19 infection. This study was based on data collected from the US Collaborative Network in TriNetX. From January 1, 2020 to June 30, 2022, participants who underwent the SARS-CoV-2 test were included in the study. Based on their positive or negative results of the COVID-19 test results (the polymerase chain reaction [PCR] test), we divided the study population into two groups. The duration of follow-up began when the PCR test was administered and continued for 12 months. Hazard ratios (HRs) and 95% confidence intervals (CIs) for newly recorded COVID-19 positive subjects for obstructive sleep apnea were calculated using the Cox proportional hazards model and compared to those without COVID-19 infection. Subgroup analyses were performed for the age, sex, and race, groups. The COVID-19 group was associated with an increased risk of obstructive sleep apnea, at both 3 months of follow-up (HR: 1.51, 95% CI: 1.48-1.54), and 1 year of follow-up (HR: 1.57, 95% CI: 1.55-1.60). Kaplan-Meier curves regarding the risk of obstructive sleep apnea revealed a significant difference of probability between the two cohorts in the follow-up periods of 3 months and 1 year (Log-Rank test, p < 0.001). The risks of obstructive sleep apnea among COVID-19 patients were significant in the less than 65 year of age group (HR: 1.50, 95% CI: 1.47-1.52), as well as in the group older than or equal to 65 years (HR:1.69, 95% CI: 1.64-1.73). Furthermore, the risks of obstructive sleep apnea were evident in both the male and female COVID-19 groups. Compared to the control group, the risks of obstructive sleep apnea in the COVID-19 participants increased in the subgroups of White (HR: 1.62, 95% CI: 1.59-1.64), Blacks/African Americans (HR: 1.50, 95% CI: 1.45-1.55), Asian (HR: 1.46, 95% CI: 1.32-1.62) and American Indian/Alaska Native (HR: 1.36, 95% CI: 1.07-1.74). In conclusion, the incidence of new diagnosis obstructive sleep apnea could be substantially higher after COVID-19 infection than non-COVID-19 comparison group. Physicians should evaluate obstructive sleep apnea in patients after COVID-19 infection to help prevent future long-term adverse effects from occurring in the future, including cardiovascular and neurovascular disease.

Anti-TNF therapy impairs both short- and long-term IgG responses after repeated vaccination.

BACKGROUND: Recently, it has been questioned whether vaccination of patients with inflammatory (auto)immune diseases under anti-tumor necrosis factor (TNF) treatment leads to impaired vaccine-induced immune responses and protection against breakthrough infections. However, the effects of TNF blockade on short- and long-term immune responses after repeated vaccination remain unclear. Vaccination studies have shown that initial short-term IgG antibodies (Abs) carry highly galactosylated and sialylated Fc glycans, whilst long-term IgG Abs have low levels of galactosylation and sialylation and are most likely generated by long-lived plasma cells (PCs) derived primarily from the germinal center (GC) response. Thus, IgG Fc glycosylation patterns may be applicable to distinguish short- and long-term vaccine responses after repeated vaccination under the influence of anti-TNF treatment. METHODS: We used COVID-19 vaccination as a model to investigate vaccine-induced IgG subclass levels and Fc glycosylation patterns, B cell subsets, and effector functions of short- and long-term Ab responses after up to three vaccinations in patients on anti-TNF or other immunosuppressive treatments and in healthy individuals. Using TriNetX, a global healthcare database, we determined the risk of SARS-CoV-2 breakthrough infections in vaccinated patients treated with anti-TNF or other immunosuppressive drugs. RESULTS: Anti-TNF treatment reduced the long-term abundance of all anti-S IgG subclasses with low levels of galactosylation and sialylation. Re-activation of potential memory B cells initially generated highly galactosylated and sialylated IgG antibodies, which were progressively reduced after each booster dose in anti-TNF-treated patients, especially in the elderly. The reduced short- and long-term IgG (1) levels in anti-TNF-treated patients correlated with diminished functional activity and an increased risk for the development of COVID-19. CONCLUSIONS: The data suggest that anti-TNF treatment reduces both GC-dependent long-lived PCs and GC-dependent memory B cell-derived short-lived PCs, hence both the long- and short-term IgG subclass responses, respectively, after repeated vaccination. We propose that anti-TNF therapy, especially in the elderly, reduces the benefit of booster vaccination.

Association between genital gender-affirming surgery and psychiatric comorbidities in individuals with gender incongruence.

BACKGROUND: Previous studies present mixed evidence on the relationship between psychiatric comorbidities and genital gender-affirming surgery (GGAS) in individuals with gender incongruence (GI). AIM: This research aims to investigate the psychiatric comorbidity rates post-GGAS in the GI population-namely, depressive disorders, anxiety disorders, posttraumatic stress disorders, substance abuse disorder, and suicidality. METHODS: Based on the TriNetX health care database, an international database with >250 million patients, a cross-sectional study was executed comparing psychiatric comorbidity rates among cases of GI with and without GGAS. Individuals were matched for demographic and health-related variables, which included history of cardiovascular disease, diabetes, and obesity. OUTCOMES: The main focus was to establish the rates and changes in psychiatric comorbidities following GGAS. RESULTS: Among individuals with GI, the study identified 4061 with GGAS and 100 097 without. At 1 year post-GGAS, there was a significant decrease in depression (odds ratio [OR], 0.748; 95% CI, 0.672-0.833; P < .0001), anxiety (OR, 0.730; 95% CI, 0.658-0.810; P < .0001), substance use disorder (OR, 0.730; 95% CI, 0.658-0.810; P < .0001), and suicidality (OR, 0.530; 95% CI, 0.425-0.661; P < .0001), and these reductions were maintained or improved on at 5 years, including posttraumatic stress disorder (OR, 0.831; 95% CI, 0.704-0.981; P = .028). CLINICAL IMPLICATIONS: The findings indicate that GGAS may play a crucial role in diminishing psychiatric comorbidities among individuals with GI. STRENGTHS AND LIMITATIONS: This is the largest known study to evaluate the effect of GGAS on psychiatric comorbidities in the GI population, offering robust evidence. The reliance on the precision of CPT and ICD-10 codes for data extraction poses a limitation due to potential coding inaccuracies. CONCLUSION: The evidence suggests a significant association between GGAS and reduced psychiatric comorbidities in individuals with GI.

Phenytoin is associated with increased risk of osteoporosis and fragility fractures in adult epileptic patients.

INTRODUCTION: Osteoporotic fractures lead to significant decreases in the quality of life with increases in morbidity, mortality, and disability. Treatment with a variety of anti-epileptic drugs, such as phenytoin, has been understood to cause a decrease in bone mineral density. MATERIALS AND METHODS: Cohort A was identified as patients that were 18-55 years old that had epilepsy and recurrent seizures that were also prescribed phenytoin. Cohort B was identified as patients that were 18-55 years old that had epilepsy and recurrent seizures but were not prescribed phenytoin or other anti-epileptic medications. Cohorts were matched for relevant confounding pathologies and demographic factors. Outcomes were evaluated from 1 day to 5 years after the indexed event. RESULTS: A total of 35,936 patients with epilepsy that were prescribed phenytoin were matched with 109,335 patients with epilepsy that were not prescribed phenytoin. Patients on phenytoin therapy were at significantly higher risk for osteoporosis without pathological fracture, fracture of metatarsal bone, fracture of shoulder and upper arm, fracture of distal radius, fracture of thoracic vertebra, fracture of cervical vertebra, fracture of lumbar vertebra, fracture of femoral head or neck, pertrochanteric fracture, femoral shaft fracture, and distal tibia fracture (all outcomes p < 0.001). CONCLUSION: Epileptic patients on phenytoin therapy that were 18-55 years old exhibited higher associated risk of osteoporosis and osteoporotic-fragility fractures of various regions. Patients that undergo phenytoin therapy for epilepsy treatment should be educated on the increased risk of bone fractures and have appropriate lifestyle and diet modifications.

Can machine learning predict late seizures after intracerebral hemorrhages? Evidence from real-world data.

INTRODUCTION: Intracerebral hemorrhage represents 15 % of all strokes and it is associated with a high risk of post-stroke epilepsy. However, there are no reliable methods to accurately predict those at higher risk for developing seizures despite their importance in planning treatments, allocating resources, and advancing post-stroke seizure research. Existing risk models have limitations and have not taken advantage of readily available real-world data and artificial intelligence. This study aims to evaluate the performance of Machine-learning-based models to predict post-stroke seizures at 1 year and 5 years after an intracerebral hemorrhage in unselected patients across multiple healthcare organizations. DESIGN/METHODS: We identified patients with intracerebral hemorrhage (ICH) without a prior diagnosis of seizures from 2015 until inception (11/01/22) in the TriNetX Diamond Network, using the International Classification of Diseases, Tenth Revision (ICD-10) I61 (I61.0, I61.1, I61.2, I61.3, I61.4, I61.5, I61.6, I61.8, and I61.9). The outcome of interest was any ICD-10 diagnosis of seizures (G40/G41) at 1 year and 5 years following the first occurrence of the diagnosis of intracerebral hemorrhage. We applied a conventional logistic regression and a Light Gradient Boosted Machine (LGBM) algorithm, and the performance of the model was assessed using the area under the receiver operating characteristics (AUROC), the area under the precision-recall curve (AUPRC), the F1 statistic, model accuracy, balanced-accuracy, precision, and recall, with and without seizure medication use in the models. RESULTS: A total of 85,679 patients had an ICD-10 code of intracerebral hemorrhage and no prior diagnosis of seizures, constituting our study cohort. Seizures were present in 4.57 % and 6.27 % of patients within 1 and 5 years after ICH, respectively. At 1-year, the AUROC, AUPRC, F1 statistic, accuracy, balanced-accuracy, precision, and recall were respectively 0.7051 (standard error: 0.0132), 0.1143 (0.0068), 0.1479 (0.0055), 0.6708 (0.0076), 0.6491 (0.0114), 0.0839 (0.0032), and 0.6253 (0.0216). Corresponding metrics at 5 years were 0.694 (0.009), 0.1431 (0.0039), 0.1859 (0.0064), 0.6603 (0.0059), 0.6408 (0.0119), 0.1094 (0.0037) and 0.6186 (0.0264). These numerical values indicate that the statistical models fit the data very well. CONCLUSION: Machine learning models applied to electronic health records can improve the prediction of post-hemorrhagic stroke epilepsy, presenting a real opportunity to incorporate risk assessments into clinical decision-making in post-stroke care clinical care and improve patients' selection for post-stroke epilepsy research.

The risk of geriatric syndromes in older COVID-19 survivors among the nonvaccinated population: a real world retrospective cohort study.

BACKGROUND: We aimed to analyse the differences in the risk of geriatric syndromes between older adults with and without coronavirus disease 2019 (COVID-19). METHODS: We conducted a retrospective cohort study of patients from the US Collaborative Network in the TriNetX between January 1, 2020, and December 31, 2022. We included individuals aged older than 65 years with at least 2 health care visits who underwent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) tests during the study period. We excluded those with SARS-CoV-2 vaccination, diagnosis with neoplasm and geriatric syndromes before the index date, and death within 30 days after the index date. The index date was defined as the first date of the PCR test for SARS-CoV-2 during the study period. Hazard ratios (HRs) and 95% confidence intervals (CIs) for eight geriatric syndromes were estimated for propensity score-matched older adults with and without COVID-19. Subgroup analyses of sex and age were also performed. RESULTS: After propensity score matching, 315 826 patients were included (mean [standard deviation] age, 73.5 [6.4] years; 46.7% males and 51.7% females). The three greatest relative increases in the risk of geriatric syndromes in the COVID-19 cohort were cognitive impairment (HR: 3.13; 95% CI: 2.96-3.31), depressive disorder (HR: 2.72; 95% CI: 2.62-2.82) and pressure injury (HR: 2.52; 95% CI: 2.34-2.71). CONCLUSIONS: The risk of developing geriatric syndromes is much higher in the COVID-19 cohort. It is imperative that clinicians endeavour to prevent or minimise the development of these syndromes in the post-COVID-19 era.

Comparative outcomes of systemic diseases in people with type 2 diabetes, or obesity alone treated with and without GLP-1 receptor agonists: a retrospective cohort study from the Global Collaborative Network : Author list.

BACKGROUND: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are increasingly used to manage type 2 diabetes (T2D) and obesity. Despite their recognized benefits in glycemic control and weight management, their impact on broader systemic has been less explored. OBJECTIVE: This study aimed to evaluate the impact of GLP-1RAs on a variety of systemic diseases in people with T2D or obesity. METHODS: We conducted a retrospective cohort study using data from the Global Collaborative Network, accessed through the TriNetX analytics platform. The study comprised two primary groups: individuals with T2D and those with obesity. Each group was further divided into subgroups based on whether they received GLP-1RA treatment or not. Data were analyzed over more than a 5-year follow-up period, comparing incidences of systemic diseases; systemic lupus erythematosus (SLE), systemic sclerosis (SS), rheumatoid arthritis (RA), ulcerative colitis (UC), crohn's disease (CD), alzheimer's disease (AD), parkinson's disease (PD), dementia, bronchial asthma (BA), osteoporosis, and several cancers. RESULTS: In the T2D cohorts, GLP-1RA treatment was associated with significantly lower incidences of several systemic and metabolic conditions as compared to those without GLP-1RA, specifically, dementia (Risk Difference (RD): -0.010, p < 0.001), AD (RD: -0.003, p < 0.001), PD (RD: -0.002, p < 0.001), and pancreatic cancer (RD: -0.003, p < 0.001). SLE and SS also saw statistically significant reductions, though the differences were minor in magnitude (RD: -0.001 and - 0.000 respectively, p < 0.001 for both). Conversely, BA a showed a slight increase in risk (RD: 0.002, p < 0.001). CONCLUSIONS: GLP-1RAs demonstrate potential benefits in reducing the risk of several systemic conditions in people with T2D or obesity. Further prospective studies are needed to confirm these effects fully and understand the mechanisms.

Comparison of the incidence of smell and taste disorders between influenza and COVID-19.

OBJECTIVE: Smell and taste disorders among patients with COVID-19 has become increasingly reported in the literature, however the prevalence varies. Post-infectious respiratory dysfunction has also been linked to influenza. In this study, we aimed to compare the rates of smell and taste disorders between COVID-19 and Influenza in unvaccinated patients. STUDY DESIGN: Retrospective cohort study. SETTING: TriNetX research network. METHODS: Two queries were made on 7/1/2023 to include Influenza without a diagnosis of COVID-19 and a COVID-19 without a diagnosis of Influenza. The queries included patients from January 1 to December 31, 2022 from 102 Healthcare Organizations. The resultant population of patients with ICD-10 codes for COVID-19 and Influenza were matched using demographic characteristics to evaluate the risk of smell disorders. RESULTS: The overall 3-month incidence of smell and taste disorders was 0.73 % in the COVID-19 population and 0.1 % in the influenza population. The 3-month matched risk ratios were 11.1 [95 % CI (8.8,13.8)]; p < 0.001) times higher for disorders of the smell and taste secondary to COVID-19 compared to influenza. CONCLUSIONS: Disorders of the smell and taste are more common among patients with COVID-19 compared to patients with Influenza. Beyond smell loss, patients experience additional nasal and sinus-related rhinological symptoms, pointing to COVID-19's and influenza's wider impact on overall rhinological health. We believe that due to the transient nature of these disorders, they might go underreported.

Post-Traumatic Stress Disorder Is Associated With Increased Emergency Department Services and Similar Rates of Opioid Prescriptions Following Primary Total Hip Arthroplasty: A Propensity Matched Analysis.

BACKGROUND: There is a paucity of literature regarding patients who have post-traumatic stress disorder (PTSD) following primary total hip arthroplasty (THA). The purpose of this study was to compare the rates of postoperative complications, prescriptions, health care utilization, and revision arthroplasty of patients who had PTSD undergoing primary THA against a propensity matched control group of patients who did not have PTSD (NPTSD). METHODS: The TriNetX database was queried to identify PTSD patients undergoing primary THA. Patients were then propensity matched in a 1:1 ratio based on twelve preoperative characteristics to a cohort of NPTSD patients. Postoperative prescriptions and rates of health care utilization were analyzed within 5 days, 14 days, and 1 month postoperatively. Complications were analyzed within one month. Revision arthroplasty rates were analyzed within 1 year and 2 years. RESULTS: A total of 198,560 patients undergoing primary THA were identified. Ultimately, 1,310 PTSD patients were successfully propensity matched to a cohort of 1,310 NPTSD patients. Patients who have PTSD presented to the emergency department at significantly higher rates than NPTSD patients within 14 days and 1 month postoperatively. Within 1 month postoperatively, cohorts were prescribed opioid analgesics at similar rates (P = .709). Patients who had PTSD received more prescriptions per patient compared to NPTSD patients. Patients who had PTSD were also found to have a higher number of total complications per person within 1 month (P = .022). Within 2 years postoperatively, rates of revision hip arthroplasty were comparable between cohorts (P = .912). CONCLUSIONS: Patients who have PTSD experience similar rates of revision hip arthroplasty and opioid prescribing compared to NPTSD patients following primary THA; however, within 1 month postoperatively, emergency department visits were greater in PTSD patients. These findings can help delineate early postoperative education and expectations for patients who have PTSD in contrast to other psychiatric diagnoses.

Assessing Uveitis Risk following Pediatric Down Syndrome Diagnosis: A TriNetX Database Study.

Background and Objectives: The risks of uveitis development among pediatric patients with Down syndrome (DS) remain unclear. Therefore, we aimed to determine the risk of uveitis following a diagnosis of DS. Materials and Methods: This multi-institutional retrospective cohort study utilized the TriNetX database to identify individuals aged 18 years and younger with and without a diagnosis of DS between 1 January 2000 and 31 December 2023. The non-DS cohort consisted of randomly selected control patients matched by selected variables. This included gender, age, ethnicity, and certain comorbidities. The main outcome is the incidence of new-onset uveitis. Statistical analysis of the uveitis risk was reported using hazard ratios (HRs) and 95% confidence intervals (CIs). Separate analyses of the uveitis risk among DS patients based on age groups and gender were also performed. Results: A total of 53,993 individuals with DS (46.83% female, 58.26% white, mean age at index 5.21 ± 5.76 years) and 53,993 non-DS individuals (45.56% female, 58.28% white, mean age at index 5.21 ± 5.76 years) were recruited from the TriNetX database. Our analysis also showed no overall increased risk of uveitis among DS patients (HR: 1.33 [CI: 0.89-1.99]) compared to the non-DS cohort across the 23-year study period. Subgroup analyses based on different age groups showed that those aged 0-1 year (HR: 1.36 [CI: 0.68-2.72]), 0-5 years (HR: 1.34 [CI: 0.75-2.39]), and 6-18 years (HR: 1.15 [CI: 0.67-1.96]) were found to have no association with uveitis risk compared to their respective non-DS comparators. There was also no increased risk of uveitis among females (HR: 1.49 [CI: 0.87-2.56]) or males (HR: 0.82 [CI: 0.48-1.41]) with DS compared to their respective non-DS comparators. Conclusions: Our study found no overall increased risk of uveitis following a diagnosis of DS compared to a matched control population.

Lipid-Lowering Treatment Gaps in Patients after Acute Myocardial Infarction: Using Global Database TriNetX.

Background and Objectives: Patients with previous acute myocardial infarction are at significantly higher risk of recurrent events. Early and intensive lipid-lowering therapy targeting low-density lipoprotein cholesterol is a key strategy for reducing cardiovascular risk in post-acute myocardial infarction patients worldwide. This study aimed to assess patients' real-life lipid-lowering treatment gaps after acute myocardial infarction using a global network, TriNetX, of anonymous, real-time patient data. The uniqueness of the study was the use of the novel, evolving, and constantly improving TriNetX platform and the evaluation of its feasibility for clinical research. Materials and Methods: A retrospective study was conducted on global repository patients in 2020, diagnosed with acute myocardial infarction, with a three-year follow-up. Results: After acute myocardial infarction, the prescribing rate of lipid-lowering medication (statins, ezetimibe and PCSK9I) was insufficient to reach target LDL-C values. The mean LDL-C level decreased from 2.7 mmol/L (103 mg/dL) as measured on the day of AMI to 1.97 mmol/L (76 mg/dL) between 31D and 3M. During the second and third years, the mean LDL-C value was stable (around 2.0 mmol/L (78 mg/dL)). LDL-C goals were not sufficiently reached, as only 7-12% of patients were reported to have LDL-C values < 55 mg/dL (1.4 mmol/L) and 13-20% of patients were reported to have LDL-C values < 70 mg/dL (1.8 mmol/L) during the follow-up periods. This means that a substantial number of patients remain at a very high risk for CV complications and mortality. Most cardiovascular complications happen within three months after acute myocardial infarction. Conclusions: Gaps remain between the recommendations for managing LDL-C in guidelines and what occurs in real life. The TriNetX platform is an innovative platform with significant potential and should be further developed for clinical research, as it enables the use of valuable interinstitutional data.

Trends in Gender-Affirming Surgeries in the United States from 2010 to 2021.

Introduction: In 2017, an estimated 1.6 million adults and 150,000 teenagers identified as transgender in the United States. With ever-changing legislative developments regarding health care benefits for this population and the increasing number of patients presenting for gender-affirming surgery (GAS), there is a scarcity of literature on the temporal trends within the past decade. The objective of this study was to examine the temporal trends of the utilization of GAS. Methods: We conducted a cross-sectional study using TriNetX, a federated research network containing deidentified aggregate patient data. Using International Code of Disease (ICD) and Current Procedural Terminology (CPT) codes, we identified patients with a diagnosis of gender dysphoria who underwent GAS from 2010 to 2021. Basic demographic information and complications were analyzed. Complications of interest included site failure, infection, and systemic complications. Results: We identified a total of 8,403 patients who underwent GAS between January 2010 and December 2021. The number of procedures per year increased nearly 500% between 2016 and 2021 from 421 procedures to 2,224 procedures. Our demographic results were consistent with previous survey-based studies. The average age of patients who underwent masculinizing surgeries was consistently younger than those who underwent feminizing surgeries. Most patients undergoing GAS were of white race. The overall complication rate was 4.7%. Conclusion: In conclusion, our study reveals a significant and rapid rise in the utilization of GAS in the United States, with a fivefold increase in procedures between 2016 and 2021. The demographic characteristics and low complication rates observed highlight the evolving landscape of health care for transgender individuals and the need for ongoing assessment and support in this field.

The risk assessment of uveitis after COVID-19 diagnosis: A multicenter population-based study.

Reports on uveitis after COVID-19 have been limited. Our objective was to examine the risk of uveitis among COVID-19 patients. This was a retrospective cohort study based on the TriNetX platform. The exposure group was patients with positive laboratory test result for SARS-CoV-2 and the comparison group was those tested negative for COVID-19 throughout the study period. The endpoint is the new diagnoses of uveitis. This study composed of 2 105 424 patients diagnosed with COVID-19 (55.4% female; 62.5% white; mean age at index 40.7 years) and 2 105 424 patients (55.4% female; 62.4% white; mean age at index 40.7 years) who never had COVID-19. There was significantly increased risk of new diagnosis of uveitis since the first month after diagnosis of COVID-19 compared with matched controls (HR: 1.18, 95% CI: 1.03-1.34) up to 24 months (HR: 1.16, 95% CI: 1.09-1.22). Our findings strengthen those previously raised by case series with a larger and multicenter study. We found that uveitis was significantly associated with COVID-19 infection. Our findings reiterate the need for careful investigation as well as increased awareness from ophthalmologists in considering the possibility of COVID-19 in vulnerable patients with new presentation of uveitis.

Long-term risk of herpes zoster following COVID-19: A retrospective cohort study of 2 442 686 patients.

The long-term risk of herpes zoster (HZ) after recovery from a SARS-CoV-2 infection is unclear. This retrospective cohort study assessed the risk of HZ in patients following a COVID-19 diagnosis. This retrospective, propensity score-matched cohort study was based on the multi-institutional research network TriNetX. The risk of incident HZ in patients with COVID-19 was compared with that of those not infected with SARS-CoV-2 during a 1-year follow-up period. Hazard ratios (HRs) and 95% confidence intervals (CIs) of HZ and its subtypes were calculated. This study identified 1 221 343 patients with and without COVID-19 diagnoses with matched baseline characteristics. During the 1-year follow-up period, patients with COVID-19 had a higher risk of HZ compared with those without COVID-19 (HR: 1.59; 95% CI: 1.49-1.69). In addition, compared with the control group patients, those with COVID-19 had a higher risk of HZ ophthalmicus (HR: 1.31; 95% CI: 1.01-1.71), disseminated zoster (HR: 2.80; 95% CI: 1.37-5.74), zoster with other complications (HR: 1.46; 95% CI: 1.18-1.79), and zoster without complications (HR: 1.66; 95% CI: 1.55-1.77). Kaplan-Meier curve analysis (log-rank p < 0.05) results indicated that the risk of HZ remained significantly higher in patients with COVID-19 compared with those without COVID-19. Finally, the higher risk of HZ in the COVID-19 cohort compared with that in the non-COVID-19 cohort remained consistent across subgroup analyses regardless of vaccine status, age, or sex. The risk of HZ within a 12-month follow-up period was significantly higher in patients who had recovered from COVID-19 compared with that in the control group. This result highlights the importance of carefully monitoring HZ in this population and suggests the potential benefit of the HZ vaccine for patients with COVID-19.

Comparing the Effectiveness of Glucocorticoids in Preventing Hypertrophic Scar Diagnosis in Burn Patients.

Background and Objectives: The prevalence of hypertrophic scarring after a burn is approximately 70%. Despite advances in burn management, there is currently no gold standard treatment to reduce or prevent its occurrence. Glucocorticoids are frequently given to patients early after burns for other therapeutic purposes and have been shown to induce scar regression. Therefore, the purpose of the present work is to determine the incidence of hypertrophic scar diagnosis in burn patients who were administered glucocorticoid treatment using TriNetX, a large patient database. Materials and Methods: Patients diagnosed with hypertrophic scarring, hypertrophic disorders of the skin, or scar conditions and fibrosis of the skin after burn injury were identified in the TriNetX database. The glucocorticoids investigated include hydrocortisone, methylprednisolone, dexamethasone, triamcinolone, and prednisone. Patients were stratified into three groups based on total body surface area (TBSA) burned: 0-19%, 20-39%, and 40-100%. The risk ratio was evaluated for burn patients who received varying glucocorticoids after injury based on TBSA burned. Additionally, treatment pathways, time of treatment, and treatment purity pathways were evaluated. Results: In patients with a 0-19% TBSA burn, methylprednisolone showed a decreased risk of developing hypertrophic scar diagnosis. In those with a 20-39% TBSA burn or 40-100% TBSA burn, dexamethasone showed an increased risk of developing hypertrophic scar diagnosis. Additionally, dexamethasone was the most commonly administered glucocorticoid for burn patients and was most likely to be administered earlier after burn injury, comparatively. Conclusions: Methylprednisolone was associated with reduced hypertrophic scar diagnosis in burn patients independent of TBSA burn. While glucocorticoids are one of the mainstay treatments for hypertrophic scarring, further studies are needed to determine early therapeutic interventions that will reduce the potential for hypertrophic scar development in burn patients.