Population-based Assessment of Cardiometabolic-related Diagnoses in Youth With Klinefelter Syndrome: A PEDSnet Study

Mild liver dysfunction in Klinefelter syndrome is associated with abdominal obesity and elevated lipids but not testosterone treatment

CONTEXT

Klinefelter syndrome (KS) is associated with hypergonadotropic hypogonadism, which contributes to characteristic phenotypical manifestations including metabolic alterations. Extensive research has demonstrated important associations between androgens and liver function.

OBJECTIVES

Investigation of the association between metabolic parameters, sex hormones and liver function in males with KS, both treated (T-KS) and untreated (U-KS) and healthy control males.

METHODS

A total of 65 KS males were recruited, of which 32 received testosterone replacement therapy (TRT). Also, 69 healthy controls were recruited. We used alanine aminotransferase (ALAT), alkaline phosphatase and PP (prothrombin-proconvertin time ratio) as the main liver markers. Multivariable regression was performed within the three groups. All statistics were calculated using STATA. Principal component analysis was utilized to demonstrate the interconnected patterns among all measured biomarkers, and to elucidate how the different groups were linked to these patterns.

RESULTS

Higher levels of main liver markers were observed in U-KS compared to controls, with no significant differences between U-KS and T-KS. T-KS had lower abdominal fat, total cholesterol, and LDL cholesterol than U-KS. Using multivariable models, variation in ALAT in U-KS was explained by HOMA2%S; in T-KS by BMI and SHBG; and in controls by hip circumference and estradiol. We found no multivariable models explaining variation in PP in U-KS; in T-KS, PP was explained by BMI and LDL cholesterol, and in controls by total cholesterol. Using principal component analysis U-KS was positively associated to D1 (an obese profile, which also included ALAT) and controls negatively associated with D1 (non-obese profile).

CONCLUSION

KS males have mild liver dysfunction reflected by a significant increase in the main liver markers and decrease in albumin. The presented data underscore a primary role of metabolic conditions including obesity, insulin resistance and unfavourable lipid profile, in the elevated liver function markers seen in males with KS. Whether TRT can improve liver function in KS warrants further studies. Our findings, highlight that an evaluation of the liver function should be part of the clinical care in males with KS.

Multicenter Analysis of Cardiometabolic-Related Diagnoses in Youth with Congenital Adrenal Hyperplasia: a PEDSnet study

CONTEXT

Small cohorts of youth with congenital adrenal hyperplasia (CAH) demonstrate increased risk of obesity and poor cardiometabolic health.

OBJECTIVE

To determine the odds of cardiometabolic-related diagnoses in youth with CAH compared to matched controls in a cross-sectional analysis in a large, multisite database (PEDSnet).

DESIGN

Electronic health record data (2009-2019) were used to determine odds of cardiometabolic-related outcomes based on diagnosis, anthropometric and laboratory data using logistic regression among youth with CAH vs. controls.

SETTING

Six PEDSnet sites.

PATIENTS OR OTHER PARTICIPANTS

Youth with CAH and >1 outpatient visit in PEDSnet (n=1,647) were propensity-score matched on 8 variables to controls (n=6,588). A subset of youth with classic CAH (n=547, with glucocorticoid and mineralocorticoid prescriptions) were matched to controls (n=2,188).

INTERVENTION(S)

N/A.

MAIN OUTCOME MEASURE(S)

Odds of having cardiometabolic-related diagnoses among youth over 2 years with CAH compared to matched controls.

RESULTS

Outcomes were calculated for all individuals with CAH (median age at last visit 12.9 years [7.3, 17.6]) and a subset with classic CAH (median age at last visit 11.6 years [4.7, 17.5]) compared to their matched controls. All patients with CAH had higher odds of overweight/obesity (odds ratio [95% confidence interval] 3.63 [3.24,4.07]), hypertension (3.07 [2.60,3.64]), dysglycemia (1.95 [1.35,2.82], dyslipidemia (2.28 [1.79,2.91]) and liver dysfunction (2.30 [1.91,2.76]) compared to matched controls. Patients with classic CAH had higher odds of overweight/obesity (3.21 [2.61,3.93]), hypertension (8.22 [6.71,10.08]), and liver dysfunction (2.11 [1.55,2.89]) compared to matched controls.

CONCLUSIONS

Overall, youth with CAH are at increased risk of diagnoses related to worse cardiometabolic health.

The complications of male hypogonadism: is it just a matter of low testosterone?

The history of diagnosing hypogonadism and hypotestosteronemia shows us the many steps that were necessary to achieve our current knowledge and the ability to improve these patients' well-being. Moreover, so far, criteria for diagnosing hypotestosteronemia varies according to the underlying condition, and according to the consensus or guideline adopted. Furthermore, besides the many signs and symptoms, there are several complications associated with low testosterone levels such as osteoporosis, metabolic alterations, as well as cardiovascular disorders. However, data are often conflicting regarding the severity, timing or even the real clinical relevance of these complications, although these studies often lack essential information such as gonadotropin levels or the underlying cause of hypogonadism. The present review focus on the complications of male hypogonadism according to the cause of testosterone deficiency, highlighting the lack of information found in many studies investigating its effects. We thereby stress the necessity to always perform a complete evaluation of the type of hypogonadism (including at least gonadotropins and secondary causes) when investigating the effects of low testosterone levels.

Improving child health through Big Data and data science

Child health is defined by a complex, dynamic network of genetic, cultural, nutritional, infectious, and environmental determinants at distinct, developmentally determined epochs from preconception to adolescence. This network shapes the future of children, susceptibilities to adult diseases, and individual child health outcomes. Evolution selects characteristics during fetal life, infancy, childhood, and adolescence that adapt to predictable and unpredictable exposures/stresses by creating alternative developmental phenotype trajectories. While child health has improved in the United States and globally over the past 30 years, continued improvement requires access to data that fully represent the complexity of these interactions and to new analytic methods. Big Data and innovative data science methods provide tools to integrate multiple data dimensions for description of best clinical, predictive, and preventive practices, for reducing racial disparities in child health outcomes, for inclusion of patient and family input in medical assessments, and for defining individual disease risk, mechanisms, and therapies. However, leveraging these resources will require new strategies that intentionally address institutional, ethical, regulatory, cultural, technical, and systemic barriers as well as developing partnerships with children and families from diverse backgrounds that acknowledge historical sources of mistrust. We highlight existing pediatric Big Data initiatives and identify areas of future research. IMPACT: Big Data and data science can improve child health. This review highlights the importance for child health of child-specific and life course-based Big Data and data science strategies. This review provides recommendations for future pediatric-specific Big Data and data science research.

Multicenter Analysis of Cardiometabolic-related Diagnoses in Transgender and Gender-Diverse Youth: A PEDSnet Study

CONTEXT

Studies on cardiometabolic health in transgender and gender-diverse youth (TGDY) are limited to small cohorts.

OBJECTIVE

This work aimed to determine the odds of cardiometabolic-related diagnoses in TGDY compared to matched controls in a cross-sectional analysis, using a large, multisite database (PEDSnet).

METHODS

Electronic health record data (2009-2019) were used to determine odds of cardiometabolic-related outcomes based on diagnosis, anthropometric, and laboratory data using logistic regression among TGDY youth vs controls. The association of gender-affirming hormone therapy (GAHT) with these outcomes was examined separately among TGDY. TGDY (n = 4172) were extracted from 6 PEDSnet sites and propensity-score matched on 8 variables to controls (n = 16 648). Main outcomes measures included odds of having cardiometabolic-related diagnoses among TGDY compared to matched controls, and among TGDY prescribed GAHT compared to those not prescribed GAHT.

RESULTS

In adjusted analyses, TGDY had higher odds of overweight/obesity (1.2; 95% CI, 1.1-1.3) than controls. TGDY with a testosterone prescription alone or in combination with a gonadotropin-releasing hormone agonist (GnRHa) had higher odds of dyslipidemia (1.7; 95% CI, 1.3-2.3 and 3.7; 95% CI, 2.1-6.7, respectively) and liver dysfunction (1.5; 95% CI, 1.1-1.9 and 2.5; 95% CI, 1.4-4.3) than TGDY not prescribed GAHT. TGDY with a testosterone prescription alone had higher odds of overweight/obesity (1.8; 95% CI, 1.5-2.1) and hypertension (1.6 95% CI, 1.2-2.2) than those not prescribed testosterone. Estradiol and GnRHa alone were not associated with greater odds of cardiometabolic-related diagnoses.

CONCLUSION

TGDY have increased odds of overweight/obesity compared to matched controls. Screening and tailored weight management, sensitive to the needs of TGDY, are needed.