Although commonly detected early in life, alkaptonuria, a rare congenital metabolic disorder, can be challenging to diagnosis and treat in older patients.

After not responding to chemotherapy and monoclonal antibody therapy, a patient with late-stage non-small cell lung cancer benefited from treatment with erlotinib.

For patients who desire transgender care, providers must use appropriate language, know the basics of cross-sex hormone therapy, and understand the risks and adverse effects of treatment options.

INTRODUCTION: Hepatitis C virus (HCV) prevalence among transgender and gender-diverse individuals ranges from 1.8% to 15.7% versus 1% in the general population. Previous HCV studies inclusive of transgender and gender-diverse individuals primarily rely on convenience-based sampling methods or are geographically restricted. The purpose of this study is to compare the prevalence of HCV diagnoses, testing, and care engagement between transgender and gender-diverse and cisgender individuals. METHODS: Using Optums de-identified Clinformatics® Data Mart Database, in 2022, the unadjusted prevalence of HCV testing among all adults and people who inject drugs from January 2001 to December 2019 was measured. Multivariable logistic regression was used to compare the adjusted odds of HCV diagnoses and care engagement by gender subgroup. RESULTS: The overall unadjusted frequency of HCV diagnoses among transgender and gender-diverse individuals was approximately 3 times that of cisgender individuals (1.06% vs 0.38%, p<0.001), including among people who inject drugs (6.36% vs 2.36%, p=0.007). Compared with cisgender women, transfeminine/nonbinary individuals had over 5 times the adjusted odds of a HCV diagnosis and approximately 3.5 times the odds of being tested for HCV. In addition, compared with cisgender women, transfeminine/nonbinary individuals had significantly increased odds of having a HCV‒related procedure (e.g., abdominal ultrasounds, liver biopsies, Fibroscans). Cisgender men had significantly increased odds of receiving HCV medication compared with cisgender women. CONCLUSIONS: Although testing was higher among transgender and gender-diverse individuals, the higher overall frequency of HCV diagnoses among transgender and gender-diverse than among cisgender individuals signals persistent health disparities. Interventions are warranted to prevent HCV and increase ongoing testing and treatment uptake among transgender and gender-diverse populations.

Purpose of review

Cardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). However, traditional CVD risk prediction equations do not work well in patients with CKD, and inclusion of kidney disease metrics such as albuminuria and estimated glomerular filtration rate have a modest to no benefit in improving prediction.

Recent findings

As CKD progresses, the strength of traditional CVD risk factors in predicting clinical outcomes weakens. A pooled cohort equation used for CVD risk prediction is a useful tool for guiding clinicians on management of patients with CVD risk, but these equations do not calibrate well in patients with CKD, although a number of studies have developed modifications of the traditional equations to improve risk prediction. The reason for the poor calibration may be related to the fact that as CKD progresses, associations of traditional risk factors such as BMI, lipids and blood pressure with CVD outcomes are attenuated or reverse, and other risk factors may become more important.

Summary

Large national cohorts such as the US Veteran cohort with many patients with evolving CKD may be useful resources for the developing CVD prediction models; however, additional considerations are needed for the unique composition of patients receiving care in these healthcare systems, including those with multiple comorbidities, as well as mental health issues, homelessness, posttraumatic stress disorders, frailty, malnutrition and polypharmacy. Machine learning over conventional risk prediction models may be better suited to handle the complexity needed for these CVD prediction models.

Objective

To determine the association between angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) use and coronavirus disease 2019 (COVID-19) severity and outcomes in US veterans.

Patients and methods

We retrospectively examined 27,556 adult US veterans who tested positive for COVID-19 between March to November 2020. Logistic regression and Cox proportional hazards models using propensity score (PS) for weight, adjustment, and matching were used to examine the odds of an event within 60 days following a COVID-19-positive case date and time to death, respectively, according to ACEI and/or ARB prescription within 6 months prior to the COVID-19-positive case date.

Results

The overlap PS weighted logistic regression model showed lower odds of an intensive care unit (ICU) admission (odds ratio [OR] 95% CI 0.77, 0.61-0.98) and death within 60 days (0.87, 0.79-0.97) with an ACEI or ARB prescription. Veterans with an ARB-only prescription also had lower odds of an ICU admission (0.64, 0.44-0.92). The overlap PS weighted model similarly showed a lower risk of time to all-cause mortality in veterans with an ACEI or ARB prescription (HR [95% CI]: 0.87, 0.79-0.97) and an ARB only prescription (0.78, 0.67-0.91). Veterans with an ACEI prescription had higher odds of experiencing a septic event within 60 days after the COVID-19-positive case date (1.22, 1.02-1.46).

Conclusion

In this study of a national cohort of US veterans, we found that the use of an ACEI/ARB in patients with COVID-19 was not associated with increased mortality and other worse outcomes. Future studies should examine underlying pathways and further confirm the relationship of ACEI prescription with sepsis.

Background: High quality data pertaining to the size of the transgender and gender diverse (TGD) population are scant, however, several recently published studies may provide more reliable contemporary estimates. Aims: To summarize the estimated number and proportion of TGD individuals overall and across age groups, based on most accurate data. Methods: This systematic review focused on recent studies (published from 2009 through 2019) that utilized sound methodology in assessing the proportion of TGD people in the general population. Publications were included if they used clear definitions of TGD status, and calculated proportions based on a well-defined sampling frame. Nineteen eligible publications represented two broad categories of studies: those that used data from large health care systems; and those that identified TGD individuals from population surveys. Results: Among health system-based studies, TGD persons were identified using relevant diagnostic codes or clinical notes. The proportions of individuals with a TGD-relevant diagnosis or other recorded evidence ranged between 17 and 33 per 100,000 enrollees. In population surveys TGD status was ascertained based on self-report with either narrow or broad definitions. The survey-based estimates were orders of magnitude higher and consistent across studies using similar definitions. When the surveys specifically inquired about transgender identity, the estimates ranged from 0.3% to 0.5% among adults, and from 1.2% to 2.7% among children and adolescents. When the definition was expanded to include broader manifestations of gender diversity, the corresponding proportions increased to 0.5-4.5% among adults and 2.5-8.4% among children and adolescents. Upward temporal trends in the proportion of TGD people were consistently observed. Conclusions: Current data indicate that people who self-identify as TGD represent a sizable and increasing proportion of the general population. This proportion may differ, depending on inclusion criteria, age, and geographic location, but well-conducted studies of similar type and design tend to produce comparable results.

Background

Previous studies have suggested that metabolic syndrome (MetS) components are associated with renal outcomes, defined as a decline in kidney function or reaching end-stage renal disease (ESRD). Elevated triglycerides (TGs) are a component of MetS that have been reported to be associated with renal outcomes. However, the association of TGs with renal outcomes in chronic kidney disease (CKD) patients independent of the other components of the MetS remains understudied.

Methods

We examined 1,657,387 patients with data on TGs and other components of MetS in 2004-2006 and followed up until 2014. Patients with ESRD on renal replacement therapy were excluded. We examined time to ESRD, estimated glomerular filtration rate (eGFR) slope (renal function decline), and time to incident CKD (eGFR <60 mL/min/1.73 m2) among baseline normal kidney function (non-CKD) patients, using Cox or logistic regression, adjusted for clinical characteristics and MetS components. We also stratified analyses by the number of MetS components.

Results

The cohort was on average 64 years old and comprised 5% females, 15% African Americans, and 24% with nondialysis-dependent CKD. Among non-CKD patients, the adjusted relationship of TGs with time to incident CKD was strong and linear. Compared to TGs 120-<160 mg/dL, higher TGs were associated with a faster renal function decline across all CKD stages. Elevated TGs ≥240 mg/dL were associated with a faster time to ESRD among non-CKD and CKD stages 3A-3B, while the risk gradually declined to null or lower in CKD stages 4-5. Models were robust after MetS component adjustment and stratification.

Conclusion

Independent of MetS components, high TGs levels were associated with a higher incidence of CKD and a faster renal function decline, yet showed no or inverse associations with time to ESRD in CKD stages 4-5. Examining the effects of TGs-lowering interventions on incident CKD and kidney preserving therapy warrants further studies including clinical trials.

Background High triglycerides are associated with atherosclerotic cardiovascular disease (ASCVD) risks. Among patients with advanced chronic kidney disease (CKD), the association of elevated triglycerides with mortality is diminished and, thus, we investigated the relationship of triglycerides with ASCVD and non-ASCVD hospitalizations across CKD stages. Methods and Results The cohort comprised 2 963 176 veterans who received care in 2004 to 2006 (baseline) and were followed up to 2014. Using Cox models, we evaluated baseline and time-varying triglycerides with time to ASCVD or non-ASCVD hospitalizations, stratified by baseline CKD stage, and adjusted for demographics and baseline or time-updated clinical characteristics. The cohort mean±SD age was 63±14 years, with a baseline median (interquartile range) triglycerides level of 127 (87-189) mg/dL, and a quarter had prevalent CKD. There was a linear association between baseline triglycerides and ASCVD risk; however, the risk with high triglycerides ≥240 mg/dL attenuated with worsening CKD stages (reference: triglycerides 120 to <160 mg/dL). Baseline triglycerides were associated with a U-shaped relationship for non-ASCVD events in patients with CKD 3A to 3B. Patients with late-stage CKD had lower to null relationships between baseline triglycerides and non-ASCVD events. Time-varying triglycerides associations with ASCVD were similar to baseline analyses. Yet, the time-varying triglycerides relationship with non-ASCVD events was inverse and linear, where elevated triglycerides were associated with lower risks. Conclusions Associations of higher triglycerides with ASCVD and non-ASCVD events declined across advancing CKD stages, where a lower to null risk was observed in patients with advanced CKD. Studies are needed to examine the impact of advanced CKD on triglycerides metabolism and its association with outcomes in this high-risk population.

INTRODUCTION: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides (TGs) with outcomes changes across stages of CKD. Our objective was to examine the association of TG independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. METHODS: This retrospective cohort study included diabetic US veteran patients with valid data on TGs, estimated glomerular filtration rate (eGFR), and albuminuria (urinary albumin/creatinine ratio) between fiscal years 2004 and 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. RESULTS: In a cohort of 138,675 diabetic veterans, the mean ± SD age was 65 ± 11 years old and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis-dependent CKD (eGFR <60 mL/min/1.73 m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median (IQR) of serum TG was 148 (100, 222) mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for Case-Mix and Laboratory variables among non-albuminuric and microalbuminuric patients. The relationship of high TG trended towards a higher risk of ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 patients with microalbuminuria. CONCLUSION: In a large cohort, we have shown that elevated TGs are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with preexisting renal complications.