Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Genet., 16 September 2025

Sec. Applied Genetic Epidemiology

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1639699

The hidden in plain sight: global, regional, and national trends in the pediatric burden of Klinefelter syndrome, 1990–2021

  • 1Department of Cardiology/Key Laboratory of Cardiovascular Disease of Yunnan Province/Clinical Medicine Center for Cardiovascular Disease of Yunnan Province, Yan’an Affiliated Hospital of Kunming Medical University, Kunming, China
  • 2Ultrasound Department, Kunming Maternal and Child Health Hospital, Kunming, China

Background: Klinefelter syndrome (KS) is the most common sex chromosome aneuploidy in males, but its epidemiology in children and adolescents remains poorly characterized worldwide. This study provides the first comprehensive global, regional, and national assessment of KS prevalence and disability-adjusted life years (DALYs) in individuals under 20 years from 1990 to 2021.

Methods: We extracted data on KS prevalence and DALYs for individuals under 20 years of age from the Global Burden of Disease (GBD) 2021 database, covering 204 countries and territories. We evaluated temporal trends using the estimated annual percentage change (EAPC), stratified by age group, geographic region, and sociodemographic index (SDI) level.

Findings: Between 1990 and 2021, the global number of KS cases in children and adolescents increased from 589,674 (95% UI, 440,342–770,284) to 690,885 (518,462–899,583), a 17.2% rise, while the overall prevalence rate per 100,000 remained stable (26.1 in 1990 to 26.2 in 2021). The global DALY burden attributed to KS rose by 20% over three decades, with marked disparities across SDI levels: in 2021, prevalence rates ranged from 17.1 per 100,000 (low-SDI) to 32.5 per 100,000 (high-SDI), and DALY rates varied from 0.05 to 0.15 per 100,000 across regions. High-SDI countries reported higher prevalence and DALY rates, likely reflecting superior diagnostic capacity and access to genetic services. In contrast, most low- and middle-SDI regions showed minimal changes in prevalence rates, despite increases in absolute case numbers, suggesting persistent underdiagnosis. Notably, children under 1 year of age and adolescents aged 15–19 represented the groups with the highest (49.5 per 100,000) and lowest (17.6 per 100,000) prevalence, respectively.

Interpretation: KS continues to represent a largely undetected pediatric health burden, especially in low- and middle-SDI settings. The findings highlight the urgent need for enhanced awareness, early detection strategies, and equitable access to genetic services in global child health policy. Timely diagnosis and intervention can help prevent long-term developmental and health-related consequences of KS.

Introduction

Klinefelter syndrome (KS) is a common yet under-recognised genetic disorder in males, defined by the presence of an extra X chromosome (most often a 47, XXY karyotype) (Zitzmann et al., 2021; Satoshi et al., 2020). It is the most frequent sex chromosome aneuploidy in men, with an estimated occurrence in approximately 1 in 500 to 1 in 1,000 male births worldwide (Ghisa et al., 2022). This high prevalence makes KS one of the most common chromosomal conditions seen in newborns across all populations. Early in life, the syndrome’s effects are often subtle—for example, mild speech delays, subtle hypotonia, or minor motor coordination difficulties may be present but easily overlooked (García-Payá et al., 2023). Classic clinical features include primary testicular failure resulting in hypergonadotropic hypogonadism (leading to androgen deficiency and infertility), disproportionately tall stature, and a spectrum of neurodevelopmental differences (Lucas-Herald et al., 2025). Affected boys frequently exhibit mild delays in speech and language development, learning disabilities, or social and behavioral challenges (Ridder et al., 2023). Notably, infants with KS usually appear normal at birth (with typical male genitalia), and obvious dysmorphic signs are absent in early childhood (Xu et al., 2022). This phenotypic normalcy in neonates, combined with the variable and often mild nature of early symptoms, means that KS can evade clinical detection in childhood.

Despite its relative frequency, KS remains profoundly underdiagnosed in pediatric and adolescent populations. The majority of affected individuals are not identified until adulthood, often incidentally during evaluations for delayed puberty or infertility (Groth et al., 2013). The mean age of diagnosis is in the mid-30s, reflecting the routine missed opportunities for earlier recognition (Maiburg et al., 2012). Estimates suggest that only about 25% of individuals with KS are ever formally diagnosed in their lifetime (Gravholt et al., 2018; Liang et al., 2022; Salonia et al., 2019; Aksglaede et al., 2013), and fewer than 10% of KS cases are detected before puberty (Wosnitzer and Paduch, 2013). In other words, over half to three-quarters of those born with KS are never aware of their condition during childhood or adolescence. This delay in diagnosis has important clinical implications: untreated KS in adolescence can lead to preventable consequences such as osteoporosis, metabolic syndrome, and psychological distress later in life (Kanakis et al., 2018). Indeed, research indicates that early diagnosis and timely interventions (including endocrine therapy and educational support) are associated with reduced comorbidity and improved long-term outcomes (Flannigan et al., 2018). Unfortunately, because many clinicians are unfamiliar with the variable pediatric presentation, a large number of KS cases in youth go unrecognized. KS is not typically associated with early mortality, but it does contribute to lifelong morbidity, including hormonal, metabolic, cardiovascular, and psychosocial effects (Mameli et al., 2022; Salzano et al., 2018), that can be quantified in terms of disability-adjusted life years (DALYs). However, because mortality is low in KS, traditional DALY metrics—heavily weighted by premature death—may underestimate the neurocognitive and psychosocial disability experienced by affected individuals. The global impact of KS in children remains poorly documented, and no prior study has provided a consolidated international overview of its prevalence and DALY burden in the pediatric age group. This paucity of data represents a critical knowledge gap: without robust epidemiological evidence, it is challenging to raise awareness, allocate resources, or develop early detection programs for KS at the global level.

In this study, we address the existing knowledge gaps by providing the first comprehensive global, regional, and national estimates of the prevalence of KS and its associated DALYs in individuals under 20 years of age from 1990 to 2021. Using data from the GBD 2021 analysis, we quantify the burden of KS across 204 countries and territories, highlighting variations by geography and over time. The objective of this work is to illuminate the epidemiological profile of KS in childhood and adolescence worldwide, thereby underscoring its relevance as a global health issue and laying the groundwork for improved early detection and management efforts.

Methods

Overview and methodological details

This cross-sectional study was approved by the Ethics Committee of Kunming yan’an Hospital, which waived the requirement for informed consent, as this research involved only data analysis without identifiable personal information. Data on prevalence and standardized disease definitions for KS in children aged 0–19 years were retrieved using the Global Health Data Exchange query tool developed by GBD collaborators. The GBD database is widely recognized as one of the most comprehensive and systematic global epidemiological frameworks, spearheaded by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington (GBD, 2021 Causes of Death Collaborators et al., 2024). The primary aim of the GBD initiative is to quantify health losses attributable to various diseases, injuries, and risk factors globally.

The GBD approach facilitates comparative evaluations of prevalence and DALYs across countries, regions, and globally. Within this framework, disease burden is quantified through two principal metrics: prevalence and DALYs. DALYs represent the cumulative measure of health loss, calculated as the sum of Years of Life Lost (YLL) due to premature death and Years Lived with Disability (YLD). The respective formulas applied are:

YLL=Number of deaths×Standard life expectancy at the age of death
YLD=Prevalence of the condition×Disability weight

Disability weights, derived from expert consensus, range from 0 (perfect health) to 1 (equivalent to death). This robust methodological approach enables a scientifically rigorous understanding of global disease and injury burdens (GBD, 2021 Causes of Death Collaborators et al., 2024). However, these weights are not specific to pediatric KS; rather, they are adapted from generic health states (such as developmental delay, learning disability, hypogonadism, or infertility) that are considered analogous to the sequelae of KS. This methodological choice may underestimate or misclassify the unique disability burden of KS in children and adolescents. While DALYs provide a robust comparative metric, they may underestimate certain aspects of chronic disability and quality-of-life impairment relevant to KS.

The prevalence and DALYs of KS were estimated using the GBD standard tool DisMod-MR 2.1 (a Bayesian meta-regression model). This model integrates global epidemiological data and adjusts for diagnostic bias through covariates such as the Socio-demographic Index (SDI) and Healthcare Access and Quality (HAQ) Index. For regions with sparse data (e.g., low-SDI countries), spatiotemporal extrapolation was employed to generate estimates, while Markov chain Monte Carlo (MCMC) sampling was used to quantify uncertainty (reported as 95% uncertainty intervals [UIs]). Model validation adhered to the GBD cross-validation protocol (GBD, 2019 Diseases and Injuries Collaborators, 2020).

Data on KS prevalence and DALYs among children aged 0–19 years from 1990 to 2021 were extracted from the GBD database (https://vizhub.healthdata.org/gbd-results/; data accessed on 20 March 2025). Analyses incorporated multiple demographic dimensions, including sex, age groups (categorized as <1 year, 2–4 years, 5–9 years, 10–14 years, and 15–19 years), and geographical regions. However, analyses based on race or ethnicity were not performed due to the absence of relevant parameters in the GBD database. This study strictly adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (von Elm et al., 2007).

Sociodemographic index

The SDI is a composite measure reflecting the socioeconomic development level of a nation or region, encompassing economic structure and size, education level, standard of living, and social welfare and protection, among other factors (Li et al., 2024). The SDI ranges from 0 to 1, with higher scores indicating better socioeconomic status. The GBD classifies countries and regions into five categories based on SDI: low, low-middle, middle, high-middle, and high. This classification facilitates the examination of the influence of socioeconomic and geographical disparities on the burden of KS among children.

Statistical analysis

Prevalence and DALYs per 100,000 population, along with 95% UIs, were calculated according to GBD statistical methods (GBD, 2019 Hearing Loss Collaborators, 2021). Joinpoint regression models were employed to determine annual percentage changes (APC) and associated 95% confidence intervals (CI), providing granular insights into annual trends within each distinct period (Lv et al., 2024). Additionally, log-transformed linear regression models calculated the estimated annual percentage change (EAPC) and corresponding 95% CI to evaluate temporal trends in prevalence and DALYs from 1990 to 2021. The EAPC is particularly valuable for assessing long-term trends, independent of short-term fluctuations (Zi et al., 2024). An EAPC value with a lower bound of the 95% CI above 0 indicates a rising trend, whereas an EAPC with an upper bound of the 95% CI below 0 indicates a declining trend. Curve-fitting analyses were conducted to investigate associations between disease burden indicators and SDI. All analyses were performed using R version 4.3.3, with statistical significance set at P < 0.05.

Role of the funding source

Funders played no role in study design, data collection, analysis, interpretation, or manuscript preparation. All authors had unrestricted access to the study data and assumed full responsibility for the decision to submit the manuscript for publication.

Result

Global burden trends

Prevalence

Data analysis revealed a dynamic global epidemiological trend for childhood KS, characterized by an “M-shaped” prevalence pattern. The highest APC occurred between 2000 and 2006, reaching 0.269% (95% CI, 0.200%–0.338%). Peak prevalence was recorded in 2006 at 26.34 cases per 100,000 (95% UI, 19.71–34.16). Conversely, the lowest APC was noted between 1995 and 2000, at −0.136% (95% CI, −0.205% to −0.067%), with the minimum prevalence observed in 2000 (26.05 per 100,000; 95% UI: 19.44–33.99) (Figure 1A). Between 1990 and 2021, the global prevalence of KS increased from 589,674 (95% UI, 440,342.03–770,284.36) to 690,884.60 cases (95% UI, 518,462.38–899,583.30), reflecting an overall growth of 17.16% (95% UI, 15.40–19.08). Prevalence rates during this period showed a modest increase from 26.11 (95% UI, 19.50–34.10) to 26.21 (95% UI, 19.67–34.13) per 100,000 individuals, representing an overall rise of 0.39% (95% UI, −1.12–2.04). The EAPC was 0.03 (95% CI, 0.02–0.05) (Table 1). Notably, prevalence rates of KS slightly increased across all age groups between 1990 and 2021, with increments ranging between 1% and 5% (Supplementary Figure S1A). In 2021, the highest prevalence occurred among children under 1 year of age, with 49.50 cases per 100,000 individuals (95% UI, 35.20–65.05). In contrast, adolescents aged 15–19 consistently exhibited the lowest prevalence, at 17.55 cases per 100,000 individuals (95% UI, 13.20–22.92) (Supplementary Figure S1A; Table 1).

Figure 1
Two line graphs labeled A and B depict changes over time. Graph A shows prevalence rates from 1990 to 2021, peaking at 2006 and decreasing after. Graph B displays DALY rates in the same period, peaking in 2006 and stabilizing post-2015. Both graphs include average annual percentage changes (APC) with significant values marked by asterisks.

Figure 1. Annual percent change (APC) and trends in global childhood Klinefelter syndrome prevalence and disability-adjusted life years (DALYs) from 1990 to 2021. (A) Prevalence rate. (B) DALYs rate.

Table 1
www.frontiersin.org

Table 1. Prevalence of Klinefelter syndrome in children between 1990 and 2021 at the global and regional level.

DALYs

The KS-associated DALY rate exhibited an overall upward and then downward trend over the past three decades. The highest APC was recorded from 1998 to 2006 with a value of 0.576% (95% CI, 0.538%–0.614%) (Figure 1B). Furthermore, the peak DALYs were observed in 2006, with a DALY rate of 0.10 (95% UI, 0.05–0.21) per 100,000 people (Figure 1B). In 1990, the global DALYs attributed to KS were 2,242.60 (95% UI, 1,120.89–4,311.58), increasing to 2,690.53 (95% UI, 1,356.73–5,215.14) by 2021—an overall rise of 19.97% (95% UI, 15.67%–24.53%) (Table 2). The DALY rate rose marginally from 0.10 per 100,000 (95% UI, 0.05–0.19) in 1990 to 0.10 per 100,000 (95% UI, 0.05–0.20) in 2021, corresponding to a 2.80% increase (95% UI, −0.89%–6.71%). The EAPC was 0.11 (95% CI, 0.06–0.16) (Table 2). In 2021, children aged 15–19 years exhibited the highest KS-related DALY rate, at 0.18 per 100,000 (95% UI, 0.08–0.37), whereas the lowest rate was observed among children aged 10–14 years, at 0.06 per 100,000 (95% UI, 0.03–0.11) (Supplementary Figure S1B).

Table 2
www.frontiersin.org

Table 2. DALYs of Klinefelter syndrome in children between 1990 and 2021 at the global and regional level.

Regional trends in childhood KS by SDI

Compared with 1990, prevalence and DALY cases of childhood KS showed an upward trend in low and low-middle SDI regions by 2021. The largest increases were observed in the number of prevalent cases (92.67; 95% UI: 86.72–99.29) and DALYs (102.90; 95% UI: 86.41–122.65) (Tables 1, 2 Figure 2). Furthermore, the highest EAPC in childhood KS were observed in high SDI regions for both prevalence (EAPC = 0.10; 95% CI: 0.04–0.15) and DALYs (EAPC = 0.18; 95% CI: 0.12–0.25) (Tables 1, 2).

Figure 2
Four line graphs display trends from 1990 to 2020, comparing health outcomes by Socio-Demographic Index (SDI) levels. The top left graph shows prevalence cases, the top right shows Disability-Adjusted Life Years (DALYs) cases, the bottom left shows prevalence rate, and the bottom right shows DALYs rate. Trends vary across SDI levels, with High SDI generally showing lower rates and cases compared to Low SDI.

Figure 2. Epidemiologic trends in childhood Klinefelter syndrome prevalence and disability-adjusted life years (DALYs) rates across five Sociodemographic Index (SDI) areas from 1990 to 2021.

Geographic regional trends in childhood KS

Prevalence

In 2021, among 21 global regions, Central Sub-Saharan Africa exhibited the highest prevalence rate for KS among children younger than 1 year, accounting for 34.6% of all KS cases in this age group. In children aged 2–4 years, the highest prevalence was reported in Western, Central, and Eastern Sub-Saharan Africa, each region accounting for 24.5% of global cases. Western Europe reported the highest KS prevalence for children aged 5–9 years (19.4%), 10–14 years (17.5%), and 15–19 years (16.1%) (Figure 3A).

Figure 3
Two stacked bar charts comparing data by age groups and regions. Chart A shows the prevalence by age across various regions with colors representing age groups: less than 1 year, 2-4 years, 5-9 years, 10-14 years, and 15-19 years. Chart B displays DALYs (Disability-Adjusted Life Years) for the same regions and age groups, with similar color coding. Regions include Western Sub-Saharan Africa, Western Europe, and others. Proportions are marked along the x-axis, ranging from 0% to 100%.

Figure 3. Age-specific percentages of childhood Klinefelter syndrome prevalence and disability-adjusted life years (DALYs) in 2021. (A) Prevalence. (B) DALYs.

DALYs

In 2021, Central Sub-Saharan Africa had the highest DALY rate among children younger than 1 year, contributing 26.9% of the global DALYs from KS. Oceania recorded the highest DALY rate for children aged 2–4 years, accounting for 19.1% of the global DALYs in this age group. For children aged 5–9 years, DALY rates across the 21 regions ranged narrowly, contributing between 13.2% and 13.6% of global DALYs. Notably, Western Europe had the highest DALY rate for children aged 15–19 years, comprising 41.4% of the global DALYs in 2021 (Figure 3B).

National trends in childhood KS

Prevalence

In 2021, India recorded the highest total number of childhood KS cases globally (137,550.01; 95% UI: 103,098.73–178,959.38), whereas Portugal exhibited the highest prevalence rate (48.95 per 100,000; 95% UI: 36.41–63.78). From 1990 to 2021, Spain demonstrated the largest increase in prevalence rates (EAPC = 1.51; 95% CI: 1.25–1.77), while Nepal had the largest decrease (EAPC = −0.66; 95% CI: −0.71 to −0.60) (Supplementary Table S1; Figures 4A,B). The global KS prevalence rate in 2021 was 26.21 per 100,000 (95% UI: 19.67–34.13), higher than the rates observed in 105 countries and lower than those in 99 countries out of 204 total nations.

Figure 4
Four world maps labeled A, B, C, and D display varied data. Map A shows prevalence cases, with darker colors indicating higher values. Map B illustrates prevalence rates, with similar color coding. Map C presents Disability-Adjusted Life Years (DALYs) cases, while Map D depicts DALY rates, both using a gradient from blue (low) to dark red (high) to represent differences. Each map has a legend indicating color scales corresponding to data ranges.

Figure 4. Prevalence and disability-adjusted life years (DALYs) of childhood Klinefelter syndrome across 204 countries and territories. (A) Number of prevalence cases. (B) Prevalence rate. (C) Number of DALYs. (D) DALY rate.

DALYs

India had the highest global DALY count from KS in 2021 (552.81; 95% UI: 274.88–1,073.90), while Portugal had the highest DALY rate (0.22 per 100,000; 95% UI: 0.09–0.46) (Supplementary Table S2; Figures 4C,D). Between 1990 and 2021, Croatia experienced the greatest decline in DALYs (EAPC = −0.39; 95% CI: −0.64 to −0.14), whereas Spain showed the most significant increase (EAPC = 1.05; 95% CI: 0.87–1.23) (Supplementary Table S2). Globally, the DALY rate from KS in 2021 was 0.10 per 100,000 (95% UI: 0.05–0.20), with 98 countries exceeding this rate and 106 countries recording lower values.

Discussion

Principal findings and global health significance

This comprehensive analysis provides the first global estimate of KS burden in children and adolescents, revealing significant yet underappreciated impacts on population health. Previous study estimates a global birth prevalence of KS around 21.9 per 100,000 (approximately 0.022%) (Shen et al., 2024). This figure is markedly lower than the 0.1%–0.2% (1 in 500–1,000) prevalence suggested by neonatal cytogenetic surveys (Bojesen et al., 2003), underscoring that most KS cases remain unidentified in childhood. Such pervasive underdiagnosis means the true burden is substantially higher than reported, limiting our ability to address the needs of this population. Nevertheless, the cases that are captured in this study already amount to a considerable global pediatric burden of chronic health issues. Although KS contributed relatively low DALY rates (well under 1 per 100,000 globally), its importance lies in life-long impacts on quality of life rather than acute mortality. Children with KS often face neurodevelopmental challenges – language delays, learning disabilities, and psychosocial difficulties – that can hinder educational attainment and social integration (Boks et al., 2007). Without early recognition and support, these challenges can translate into significant cumulative disability. Thus, the finding that the recorded pediatric prevalence and DALY burden of KS have remained low globally should not be misconstrued as indicating that KS is negligible. Rather, this pattern likely reflects persistent under-detection and the historical neglect of this common chromosomal disorder in global health assessments. In a broader context, our results bring KS into the spotlight as a global health concern – albeit one that has been “hidden” in plain sight – affecting an estimated 1 in 600 males worldwide. By quantifying its prevalence and health loss among those under 20, this study fills a critical gap in the epidemiology of pediatric genetic disorders and establishes a baseline for tracking improvements in early diagnosis and care.

In this study, the “M-shaped” curve from 2000 to 2006 may partly reflect enhanced cytogenetic reporting, the adoption of new newborn screening protocols, and increased awareness of KS in high-resource settings. Improved diagnostic capabilities, such as more widespread karyotyping, contributed to transient spikes in case ascertainment. Notably, the “rise then fall” DALY trend was not uniform across SDI levels; regional analyses show this pattern was most pronounced in high-SDI and some upper-middle SDI regions, likely reflecting improved detection followed by stabilization as diagnostic practices plateaued. In low-SDI settings, DALY rates increased gradually, potentially due to persistent underdiagnosis and limited care access. The highest EAPCs for prevalence (0.10; 95% CI: 0.04–0.15) and DALYs (0.18; 95% CI: 0.12–0.25) occurred in high-SDI regions (Tables 1, 2), likely attributable to greater healthcare resources, comprehensive screening, and heightened clinical awareness enabling higher detection. Conversely, underdiagnosis in low-SDI regions may stem from limited karyotyping access, reduced clinician awareness, and sociocultural stigma. Strategies to enhance detection include expanded newborn screening, professional education, and improved registry infrastructure.

Interpretation in context of health systems and pediatric genetics

When viewed alongside the literature, our findings reinforce a crucial point: the global health significance of KS lies not in early mortality or dramatic disability, but in its chronic, often unaddressed effects on health and wellbeing across the lifespan. Prior research has established that men with KS face elevated risks of numerous comorbidities, including metabolic syndrome (Zitzmann et al., 2021), type 2 diabetes (Gravholt et al., 2011), thromboembolism (Liang et al., 2022), osteoporosis (Willems et al., 2023), autoimmune disorders (Lucas-Herald et al., 2025), and certain malignancies (Win et al., 2020), contributing to a reduction in life expectancy by an estimated 2–6 years (Bojesen et al., 2011). These risks are already germinating in adolescence. For instance, adolescents with KS have higher rates of obesity and insulin resistance than their peers, as well as a propensity for psychiatric conditions such as anxiety and depression (Bojesen et al., 2010). The Million Veteran Program study in the US recently demonstrated that even men carrying an extra X or Y chromosome who were never clinically diagnosed showed significantly greater odds of cardiometabolic disease and neuropsychiatric issues compared to controls (Davis, 2024a). Notably, that large cohort genetic screening found a combined prevalence of X/Y aneuploidy around 1 in 370 men (0.27%) – higher than traditional newborn estimates – yet very few of those individuals had a documented KS diagnosis in medical records (Davis et al., 2024b). They were essentially “hidden” patients suffering the consequences without tailored care. This observation aligns with findings from Danish registry studies demonstrating that KS confers an increased standardized mortality risk, predominantly attributable to these comorbid conditions (Cho et al., 2020). Our study, focusing on those under 20, did not directly measure long-term outcomes like mortality; however, it quantifies the precursor state: the number of youths who, if left undiagnosed, are likely to fall through the cracks until perhaps presenting with infertility or severe disease decades later. In that sense, our work complements and extends prior studies by illuminating the pediatric segment of the KS population – a segment that previous global burden assessments had essentially omitted (Bai et al., 2024). By doing so, we contextualize KS within health systems: as a prevalent condition where the failure to integrate genetic diagnosis into primary care and pediatrics has led to preventable morbidity. The disparities we observed can be viewed as a barometer of health system capacity for genetic disorders. High detection rates in places like Northern Europe (e.g., Denmark, which achieved near-complete ascertainment of KS through past newborn studies (Herlihy et al., 2011)) show what is possible when proactive screening is in place. On the other hand, the near-absence of diagnosed cases in many low-income countries reflects systemic barriers – lack of trained specialists, limited access to karyotyping or chromosomal microarray tests, and low awareness among frontline providers (Wojcik et al., 2023). These deficiencies are not unique to KS; they apply to many rare pediatric conditions. Yet KS is among the most common congenital disorders (far more common than, for example, cystic fibrosis or phenylketonuria, which do receive newborn screening in many locales). Thus, the neglect of KS detection speaks to a broader policy blind spot in pediatric genetics and endocrinology. Our findings serve as a call to action to integrate genomic medicine equity into child health frameworks: every country should be capable of diagnosing a condition as frequent as KS. Closing these gaps is feasible – KS diagnosis requires a relatively simple chromosome analysis – but it demands political will and investment to ensure such tests and specialist consultations are accessible beyond tertiary centers in wealthy cities.

Implications for public health and policy

Awareness

Raising awareness is fundamental to improving early detection of KS. Healthcare providers, including pediatricians, family doctors, school health professionals, and child development specialists, should receive targeted education regarding the subtle and variable presentation of KS in childhood. Key signs such as tall stature, disproportionate limb length, language delays, mild hypotonia, or behavioral/social challenges should prompt consideration of KS, even in the absence of obvious dysmorphic features. For infants, cryptorchidism or micropenis are straightforward clinical cues, and professional societies now recommend karyotype analysis in these scenarios. Educational campaigns, clinical decision support tools, and integration of KS red flags into electronic health records could facilitate timely referrals.

In low-resource settings, public and professional awareness campaigns are especially important to overcome social stigma and misconceptions regarding genetic conditions.

Diagnosis

Early and accurate diagnosis is essential for timely intervention

Screening protocols: The European Academy of Andrology and other societies recommend karyotype testing in boys with bilateral cryptorchidism, micropenis, or otherwise unexplained developmental delays. For adolescents, screening for KS should be considered in cases of pubertal delay, persistent small testes, or incomplete virilization.

Universal or targeted newborn screening: Universal newborn screening for KS remains controversial, primarily due to debates over cost-effectiveness and ethical considerations. In high-resource settings, pilot programs evaluating the addition of sex chromosome aneuploidy screening to routine newborn blood spots have shown promise, but widespread adoption is limited by cost and counseling infrastructure.

Feasibility in low-resource countries: Targeted screening of high-yield groups (e.g., males with infertility, adolescents with suggestive phenotypes, or children presenting to endocrinology/urology clinics) may be more practical than universal approaches in low- and middle-income countries. Development and scale-up of affordable molecular tests (such as PCR-based detection) can supplement traditional cytogenetic labs, particularly where karyotyping capacity is limited. International partnerships, donor funding, and integration with birth defect surveillance initiatives could further strengthen diagnostic infrastructure.

Early intervention

Timely, multidisciplinary intervention can substantially improve the long-term outcomes of individuals with KS.

Endocrine management: Early androgen therapy (for example, low-dose oxandrolone) has shown benefit for muscle tone, bone health, and selected neurocognitive domains.

Developmental support: Early referral to speech, occupational, and physical therapy can address developmental delays, supporting academic and social success.

Long-term care: Establishment of multidisciplinary KS clinics—combining endocrinology, psychology, genetics, and education specialists—should be prioritized. In low-resource regions, telemedicine or periodic outreach clinics may help bridge the gap in specialist access.

Cost-effectiveness and policy debate

Universal newborn screening for KS is not yet standard practice globally, due in part to the variable natural history, potential psychosocial harms, and resource constraints. While feasibility studies support the technical implementation of screening, rigorous cost-benefit analyses and outcome studies are needed before broad adoption (Tassone, 2014). Short-term pilot programs in high-prevalence settings, coupled with strong genetic counseling, may offer a pragmatic step forward.

Ethical considerations

Prenatal and early diagnosis of KS, particularly via non-invasive prenatal testing (NIPT), raises important ethical questions. Parents must receive balanced counseling about the typically mild, manageable nature of KS, and the broad range of possible phenotypes. Avoiding unnecessary pregnancy termination due to misperceptions or stigma is an ethical imperative. In cases of prenatal or neonatal diagnosis, early linkage to multidisciplinary care is recommended to maximize developmental outcomes.

In conclusion, this study presents a novel global perspective on KS in children and adolescents, revealing a condition of significant prevalence that remains largely under-recognized.

Limitations

This study has several important limitations. First, the analysis relies heavily on data from the GBD database, whose accuracy is constrained by the availability and quality of national registry data, a substantial number of undiagnosed pediatric KS cases, and the lack of detailed information on risk factors specific to childhood KS. Second, due to the clinical complexity of KS, missed diagnoses and misdiagnoses contribute significantly to underreporting, particularly in developing countries where diagnostic capabilities and awareness may be limited. Third, the GBD study’s estimates of the prevalence and DALYs for KS rely heavily on statistical modeling, particularly in countries with low SDI. Although the models adjust for diagnostic bias through covariates (e.g., SDI and healthcare accessibility), the uncertainty of estimates in regions lacking empirical data is substantially amplified.

Conclusion

Childhood KS has shown an upward global trend in prevalence and associated disability burden over the past three decades. However, considerable regional disparities persist, underscoring the necessity for tailored, region-specific strategies in disease prevention, early diagnosis, and management. Future public health interventions should prioritize high-burden areas, particularly in lower SDI regions and countries with substantial case numbers, to effectively mitigate the growing global impact of KS.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

GM: Conceptualization, Data curation, Investigation, Methodology, Software, Supervision, Writing – original draft. YL: Visualization, Writing – original draft. FJ: Formal Analysis, Project administration, Resources, Validation, Writing – original draft, Writing – review and editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2025.1639699/full#supplementary-material

SUPPLEMENTARY FIGURE S1 | Trends in prevalence and disability-adjusted life years (DALYs) of childhood Klinefelter syndrome by age. (A), Prevalence rate. (B), DALY rate.

References

Aksglaede, L., Link, K., Giwercman, A., Jørgensen, N., Skakkebaek, N. E., Juul, A., et al. (2013). 47,XXY Klinefelter syndrome: clinical characteristics and age-specific recommendations for medical management. Am. J. Med. Genet. C Semin. Med. Genet. 163c (1), 55–63. doi:10.1002/ajmg.c.31349

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Z., Han, J., An, J., Wang, H., Du, X., Yang, Z., et al. (2024). The global, regional, and national patterns of change in the burden of congenital birth defects, 1990-2021: an analysis of the global burden of disease study 2021 and forecast to 2040. EClinicalMedicine 77, 102873. doi:10.1016/j.eclinm.2024.102873

PubMed Abstract | CrossRef Full Text | Google Scholar

Bojesen, A., Juul, S., and Gravholt, C. H. (2003). Prenatal and postnatal prevalence of Klinefelter syndrome: a national registry study. J. Clin. Endocrinol. Metab. 88 (2), 622–626. doi:10.1210/jc.2002-021491

PubMed Abstract | CrossRef Full Text | Google Scholar

Bojesen, A., Høst, C., and Gravholt, C. H. (2010). Klinefelter's syndrome, type 2 diabetes and the metabolic syndrome: the impact of body composition. Mol. Hum. Reprod. 16 (6), 396–401. doi:10.1093/molehr/gaq016

PubMed Abstract | CrossRef Full Text | Google Scholar

Bojesen, A., Stochholm, K., Juul, S., and Gravholt, C. H. (2011). Socioeconomic trajectories affect mortality in Klinefelter syndrome. J. Clin. Endocrinol. Metab. 96 (7), 2098–2104. doi:10.1210/jc.2011-0367

PubMed Abstract | CrossRef Full Text | Google Scholar

Boks, M. P., de Vette, M. H., Sommer, I. E., van Rijn, S., Giltay, J. C., Swaab, H., et al. (2007). Psychiatric morbidity and X-chromosomal origin in a Klinefelter sample. Schizophr. Res. 93 (1-3), 399–402. doi:10.1016/j.schres.2007.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Cho, J. H., Choi, E. K., Moon, I. K., Jung, J. H., Han, K. D., Choi, Y. J., et al. (2020). Chromosomal abnormalities and atrial fibrillation and ischemic stroke incidence: a nationwide population-based study. Sci. Rep. 10 (1), 15872. doi:10.1038/s41598-020-72678-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, S. M. (2024a). Davis is first author on sex chromosome aneuploidy original investigation. Available online at: https://news.cuanschutz.edu/pediatrics/davis-is-first-author-on-sex-chromosome-aneuploidy-original-investigation#:∼:text=Men%20with%20an%20extra%20X,2%20diabetes%2C%20and%20cardiovascular (Accessed May 10, 2025).

Google Scholar

Davis, S. M., Teerlink, C., Lynch, J. A., Gorman, B. R., Pagadala, M., Liu, A., et al. (2024b). Prevalence, morbidity, and mortality of men with sex chromosome aneuploidy in the million veteran program cohort. JAMA Netw. Open 7 (3), e244113. doi:10.1001/jamanetworkopen.2024.4113

PubMed Abstract | CrossRef Full Text | Google Scholar

Flannigan, R., Patel, P., and Paduch, D. A. (2018). Klinefelter syndrome. The effects of early androgen therapy on competence and behavioral phenotype. Sex. Med. Rev. 6 (4), 595–606. doi:10.1016/j.sxmr.2018.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

García-Payá, E., Sirera Sirera, P., Huertas-García, I., Hernández Romero, S. D., Olivas García, J., et al. (2023). A novel partial deletion of the TBL1XR1 gene detected using SNP array in a patient with motor delay, growth failure, and Klinefelter syndrome. Cytogenet Genome Res. 163 (5-6), 295–300. doi:10.1159/000534530

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2019 Diseases and Injuries Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet 396 (10258), 1204–1222. doi:10.1016/s0140-6736(20)30925-9

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2019 Hearing Loss Collaborators (2021). Hearing loss prevalence and years lived with disability, 1990-2019: findings from the global burden of disease study 2019. Lancet London, Engl. 397 (10278), 996–1009. doi:10.1016/s0140-6736(21)00516-x

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2021 Causes of Death Collaborators, Ong, K. L., Aali, A., Ababneh, H. S., Abate, Y. H., et al. (2024). Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the global burden of disease study 2021. Lancet London, Engl. 403 (10440), 2100–2132. doi:10.1016/s0140-6736(24)00367-2

CrossRef Full Text | Google Scholar

Ghisa, M., Savarino, V., Buda, A., Katzka, D. A., and Savarino, E. (2022). Toward a potential association between eosinophilic esophagitis and Klinefelter syndrome: a case series and review of the literature. Ther. Adv. Gastroenterol. 15, 17562848221076888. doi:10.1177/17562848221076888

PubMed Abstract | CrossRef Full Text | Google Scholar

Gravholt, C. H., Jensen, A. S., Høst, C., and Bojesen, A. (2011). Body composition, metabolic syndrome and type 2 diabetes in Klinefelter syndrome. Acta Paediatr. 100 (6), 871–877. doi:10.1111/j.1651-2227.2011.02233.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gravholt, C. H., Chang, S., Wallentin, M., Fedder, J., Moore, P., Skakkebæk, A., et al. (2018). Klinefelter syndrome: integrating genetics, neuropsychology, and endocrinology. Endocr. Rev. 39 (4), 389–423. doi:10.1210/er.2017-00212

PubMed Abstract | CrossRef Full Text | Google Scholar

Groth, K. A., Skakkebæk, A., Høst, C., Gravholt, C. H., and Bojesen, A. (2013). Clinical review: klinefelter syndrome--a clinical update. J. Clin. Endocrinol. Metab. 98 (1), 20–30. doi:10.1210/jc.2012-2382

PubMed Abstract | CrossRef Full Text | Google Scholar

Herlihy, A. S., Halliday, J. L., Cock, M. L., and McLachlan, R. I. (2011). The prevalence and diagnosis rates of Klinefelter syndrome: an Australian comparison. Med. J. Aust. 194 (1), 24–28. doi:10.5694/j.1326-5377.2011.tb04141.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanakis, G. A., Nieschlag, E., and Nieschlag, E. (2018). Klinefelter syndrome: more than hypogonadism. Metabolism 86, 135–144. doi:10.1016/j.metabol.2017.09.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z., Yang, Y., Liu, Y., Wang, X., Ping, F., Xu, L., et al. (2024). Global burden of dementia in younger people: an analysis of data from the 2021 global burden of disease study. EClinicalMedicine 77, 102868. doi:10.1016/j.eclinm.2024.102868

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, B., Cheung, A. S., and Nolan, B. J. (2022). Clinical features and prevalence of Klinefelter syndrome in transgender individuals: a systematic review. Clin. Endocrinol. (Oxf) 97 (1), 3–12. doi:10.1111/cen.14734

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucas-Herald, A. K., Aksglaede, L., Caspersen, I. D., Ahmed, S. F., Carlomagno, F., Isidori, A. M., et al. (2025). New horizons in Klinefelter syndrome: current evidence, gaps and research priorities. Endocr. Rev. 46, 447–478. doi:10.1210/endrev/bnaf005

PubMed Abstract | CrossRef Full Text | Google Scholar

Lv, B., Lan, J. X., Si, Y. F., Ren, Y. F., Li, M. Y., Guo, F. F., et al. (2024). Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021. Mil. Med. Res. 11 (1), 46. doi:10.1186/s40779-024-00551-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Maiburg, M., Repping, S., and Giltay, J. (2012). The genetic origin of Klinefelter syndrome and its effect on spermatogenesis. Fertil. Steril. 98 (2), 253–260. doi:10.1016/j.fertnstert.2012.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Mameli, C., Fiore, G., Sangiorgio, A., Agostinelli, M., Zichichi, G., Zuccotti, G., et al. (2022). Metabolic and nutritional aspects in paediatric patients with Klinefelter Syndrome: a narrative review. Nutrients 14 (10), 2107. doi:10.3390/nu14102107

PubMed Abstract | CrossRef Full Text | Google Scholar

Ridder, L. O., Berglund, A., Stochholm, K., Chang, S., and Gravholt, C. H. (2023). Morbidity, mortality, and socioeconomics in Klinefelter syndrome and 47, XYY syndrome: a comparative review. Endocr. Connect. 12 (5), e230024. doi:10.1530/ec-23-0024

PubMed Abstract | CrossRef Full Text | Google Scholar

Salonia, A., Rastrelli, G., Hackett, G., Seminara, S. B., Huhtaniemi, I. T., Rey, R. A., et al. (2019). Paediatric and adult-onset male hypogonadism. Nat. Rev. Dis. Prim. 5 (1), 38. doi:10.1038/s41572-019-0087-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Salzano, A., D'Assante, R., Heaney, L. M., Monaco, F., Rengo, G., Valente, P., et al. (2018). Klinefelter syndrome, insulin resistance, metabolic syndrome, and diabetes: review of literature and clinical perspectives. Endocrine 61 (2), 194–203. doi:10.1007/s12020-018-1584-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Satoshi, T., Hironari, H., Yuichiro, O., Yuko, K., and Tsutomu, T. (2020). An overlapping case of IgG4-related disease and Klinefelter Syndrome with lupus-like serological and neurological features: a case report and literature review. Intern Med. 59 (20), 2601–2609. doi:10.2169/internalmedicine.4888-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, L., Li, J., Zhang, H., and Zhao, Y. (2024). Global, regional and national burdens of reproduction-related congenital birth defects, 1990-2019. Front. Public Health 12, 1328282. doi:10.3389/fpubh.2024.1328282

PubMed Abstract | CrossRef Full Text | Google Scholar

Tassone, F. (2014). Newborn screening for fragile X syndrome. JAMA Neurol. 71 (3), 355–359. doi:10.1001/jamaneurol.2013.4808

PubMed Abstract | CrossRef Full Text | Google Scholar

von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., et al. (2007). Strengthening the reporting of Observational Studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ Clin. Res. ed. 335 (7624), 806–808. doi:10.1136/bmj.39335.541782.AD

PubMed Abstract | CrossRef Full Text | Google Scholar

Willems, S., David, K., Decallonne, B., Marcq, P., Antonio, L., Vanderschueren, D., et al. (2023). The effect of testosterone treatment on bone mineral density in Klinefelter syndrome: a retrospective cohort study. Andrology 11 (7), 1295–1302. doi:10.1111/andr.13411

PubMed Abstract | CrossRef Full Text | Google Scholar

Win, M. L., Kaur, D., Oyibo, S. O., Rajkanna, J., and Sagi, S. V. (2020). Bilateral testicular epidermoid cysts in a man with Klinefelter syndrome: a case report. Cureus 12 (12), e11834. doi:10.7759/cureus.11834

PubMed Abstract | CrossRef Full Text | Google Scholar

Wojcik, M. H., Bresnahan, M., Del Rosario, M. C., Ojeda, M. M., Kritzer, A., Fraiman, Y. S., et al. (2023). Rare diseases, common barriers: disparities in pediatric clinical genetics outcomes. Pediatr. Res. 93 (1), 110–117. doi:10.1038/s41390-022-02240-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Wosnitzer, M. S., and Paduch, D. A. (2013). Endocrinological issues and hormonal manipulation in children and men with Klinefelter syndrome. Am. J. Med. Genet. C Semin. Med. Genet. 163c (1), 16–26. doi:10.1002/ajmg.c.31350

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, W. Q., Yuan, Y., Chen, Y., Luo, T., and Chen, H. Y. (2022). Birth of a boy after intracytoplasmic sperm injection using ejaculated spermatozoa from a nonmosaic Klinefelter syndrome man with normal sperm motility: a case report. Front. Genet. 13, 989701. doi:10.3389/fgene.2022.989701

PubMed Abstract | CrossRef Full Text | Google Scholar

Zi, H., Liu, M. Y., Luo, L. S., Huang, Q., Luo, P. C., Luan, H. H., et al. (2024). Global burden of benign prostatic hyperplasia, urinary tract infections, urolithiasis, bladder cancer, kidney cancer, and prostate cancer from 1990 to 2021. Mil. Med. Res. 11 (1), 64. doi:10.1186/s40779-024-00569-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Zitzmann, M., Aksglaede, L., Corona, G., Isidori, A. M., Juul, A., T'Sjoen, G., et al. (2021). European academy of andrology guidelines on Klinefelter syndrome endorsing organization: european society of endocrinology. Andrology 9 (1), 145–167. doi:10.1111/andr.12909

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Klinefelter syndrome (KS), children, public health, prevalence, DALYs, disability-adjusted life years

Citation: Ma G, Li Y and Jia F (2025) The hidden in plain sight: global, regional, and national trends in the pediatric burden of Klinefelter syndrome, 1990–2021. Front. Genet. 16:1639699. doi: 10.3389/fgene.2025.1639699

Received: 09 June 2025; Accepted: 04 September 2025;
Published: 16 September 2025.

Edited by:

Alexios-Fotios Mentis, Beijing Genomics Institute (BGI), China

Reviewed by:

John Sieh Dumbuya, Affiliated Hospital of Guangdong Medical University, China
Jatmika Nurhadi, Indonesia University of Education, Indonesia

Copyright © 2025 Ma, Li and Jia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fan Jia, amlhZmFuNDY1OTQ1NDkxQDE2My5jb20=

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.