ClinicalTrials.gg
CompletedNCT04979377Updated Mar 17, 2025

Prevalence of Hyperandrogenism in Type 1 Diabetes

An observational study in Type 1 Diabetes, Polycystic Ovary Syndrome and Hyperandrogenism, sponsored by Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal. Completed at 1 site in Spain. Open to female participants aged 18 Years to 45 Years. Per ClinicalTrials.gov, last updated 2025-03-17.

Sponsored by Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal · Observational

Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
150
Ages
18 Years to 45 Years
Sex
Female
01

Study summary

The investigators aim to estimate the prevalence of functional ovarian hyperandrogenism [idiopathic hyperandrogenism, idiopatic hirsutism, and polycystic ovary syndrome (PCOS)] in adult patients with type 1 diabetes (T1DM) in an observational cross-sectional study. Study population is comprised of premenopausal adult women with a diagnosis of T1DM, consecutively recruited from a Diabetes outpatient clinic at a tertiary hospital in Spain, Europe.

Read the detailed description

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age, with an estimated prevalence of 6-15% of the general population worldwide. This heterogeneous syndrome has significant cardio-metabolic, reproductive, and psycho-emotional consequences, and therefore, a prompt recognition and management is of paramount importance for these women. Despite hyperandrogenism is the cornerstone in the pathophysiology of PCOS, this derangement is closely related to insulin resistance, compensatory hyperinsulinemia, and abdominal adiposity. Hyperinsulinemia increases androgen secretion by co-stimulating besides gonadotropins both ovary and adrenal steroidogenesis, which leads to predominant visceral/abdominal fat deposition, and further contributes to insulin resistance and hyperinsulinemia. In addition, PCOS has been classically associated with metabolic alterations such as for overweight/obesity and type 2 diabetes mellitus. However, type 1 diabetes mellitus (T1D) results from autoimmune-mediated destruction of the pancreas, causing a complete insulin lack in most patients. Intensive insulin therapy - a mandatory iatrogenic hyperinsulinism -, while improving chronic glycemic control and prognosis, has led in recent years to the appearance of "new" reproductive consequences in these patients, such as functional hyperandrogenism and menstrual irregularity. This association is expected from the stimulation of ovarian androgen production by exogenous insulin, which reaches the ovary in supraphysiological concentrations. However, these studies present with a high heterogeneity, and prevalence rates significantly vary depending on several variables such as the criteria used for PCOS diagnosis, race/ethnicity, age of the study population, and the prevalence of obesity, among others. In 2016, a systematic review assessing the prevalence of PCOS in T1D was published, including 475 women with T1D from 9 studies. The results showed an overall prevalence of PCOS about 24% in T1D, higher than reported in the general population. Other hyperandrogenic traits such as hirsutism (25%), hyperandrogenaemia (24%), or ovulatory dysfunction (33%) were also common. Although PCOS is one of the most common comorbidities in patients with T1D, there are a limited number of publications in the literature. In summary, PCOS and functional hyperandrogenism remain a condition to be explored thoroughly in these patients.

The investigators hypothesize that the prevalence of functional hyperandrogenism including PCOS in Spanish women with T1D is higher than in women from the general population. Furthermore, signs and symptoms of hyperandrogenism, and hyperandrogenemia may be milder in patients with T1D compared to hyperandrogenic women from the general population. Moreover, the occurrence of PCOS in these women may be influenced by insulin dose, duration of diabetes, and chronic metabolic control.

The main objective of this study is to determine the actual prevalence of PCOS in premenopausal women with T1DM, according to different diagnostic criteria/PCOS phenotypes [classic PCOS (classic NIH criteria), hyperandrogenic PCOS (AES-PCOS criteria), and/or inclusive ESHRE-ASRM/Rotterdam criteria]. As secondary goals, the investigators also aim to describe: i) the hyperandrogenic traits associated with PCOS in women with T1DM; and ii) the metabolic-T1D related parameters in women with or without hyperandrogenism.

Sample size calculation: Sample size analysis used the online sample size and power calculator from the Program of Research in Inflammatory and Cardiovascular Disorders, Institut Municipal d'Investigació Mèdica, Barcelona, Spain (https://www.imim.cat/ofertadeserveis/software-public/granmo/). Considering previous data on prevalence of SOP in adolescents and adult women with T1D according to ESHRE-ASRM/Rotterdam criteria, the investigators concluded that 150 participants would be needed to assume an expected proportion of 40%, with an absolute precision of 5% at both sides of the proportion, and an asymptotic bilateral 95% confidence interval, and with an estimated replacement rate of 10%.

Statistical analysis: Continuous variables will be expressed as mean ± SD with its respective 95% confidence intervals (95%CI). Normality of continuous variables will be checked by the Kolmogorov-Smirnov test, and ensured by applying logarithmic transformations. the investigators will use non-parametric tests to analyse variables that remained skewed even after transformation. The differences in means will be analysed by Student t or Mann-Whitney U tests. Discrete variables will be showed according to their absolute, relative frequency, and 95%CI determined using the Wilson method without continuity correction. The differences between proportions will be estimated using the χ2 or Fisher's exact tests. Correlation analysis will be used to evaluate putative association between continuous variables. Finally, multiple linear an binary logistic regression full and stepwise models (probability for entry ≤0.05, probability for removal ≥0.10) will be performed to ascertain the main determinants of predetermined outcomes. The statistical significance will be set at the P \< 0.05 level.

02

Conditions studied

  • Type 1 Diabetes
  • Polycystic Ovary Syndrome
  • Hyperandrogenism
  • Hirsutism
  • Oligomenorrhea
  • Ovulation Disorder

Keywords

  • Polycystic ovary syndrome
  • Hyperandrogenism
  • Type 1 diabetes
  • Prevalence
  • Hirsutism
  • Ovulatory dysfunction
  • Testosterone
  • Insulin
03

In context

Diabetes Mellitus, Type 1

3,754 studies on the registry are indexed under Diabetes Mellitus, Type 1; 600 are open to participants now.

This study's enrollment of 150 is above the median of 125 across 792 observational studies indexed under Diabetes Mellitus, Type 1.

Browse Diabetes Mellitus, Type 1 studies →

Lead sponsor

Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal is the lead sponsor of 83 studies on the registry; 22 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 45 Years
Sexes eligible
Female
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Premenopausal women with T1DM consecutively recruited from a Diabetes outpatient clinic at a tertiary hospital.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age between 18 and 45 years old
  • Type 1 diabetes diagnosed at least 1 year before the inclusion in the study. Diagnosis confirmed by positive autoimmunity (GAD-65 or IA2) and insulin deficiency.
  • Treatment with subcutaneus insulin therapy (multiple dose or continuous subcutaneous insulin infusion).
  • Menarche at least 2 years before the study.

Exclusion criteria

Exclusion Criteria:

  • Honey moon period.
  • Altered thyroid hormone or prolactin levels.
  • Congenital adrenal hyperplasia.
  • Severe chronic disease.
  • Oral or therapy in the previous 3 months.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
150 participants (actual)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Adult premenopausal women with type 1 diabetes mellitus

    One-hundred and fifty women aged from 18 to 45 years old consecutively recruited from a type 1 diabetes clinic at a tertiary hospital of Madrid, Spain

    Other: Clinical hyperandrogenism assessment · Diagnostic Test: Total testosterone (ng/dL) · Diagnostic Test: A1c (%) · Diagnostic Test: Total cholesterol · Other: Body mass index (BMI) (kg/m2) · Diagnostic Test: Frequency of chronic vascular complications [n (%)] · Diagnostic Test: Polycystic ovary morphology · Diagnostic Test: Cardiovascular autonomic reflex tests (CARTs) · Diagnostic Test: Sex hormone-binding globulin (SHBG) (nmol/L) · Diagnostic Test: Dehydroepiandrosterone-sulphate (IQL) (ng/mL) · Other: Waist circumference (cm) · Other: Waist-to-hip ratio · Other: Body composition · Diagnostic Test: Mean glucose (mg/dL) · Diagnostic Test: Time in target range (hours) · Diagnostic Test: Time in hyperglycemia (hours) · Other: Insulin dose (UI/Kg) · Other: Insulin sensitivity · Diagnostic Test: High-density lipoprotein (HDL) (mg/dL) · Diagnostic Test: Low-density lipoprotein (LDL) (mg/dL) · Diagnostic Test: Triglycerides (mg/dL)

Interventions

  • OtherClinical hyperandrogenism assessment

    Modified Ferriman-Gallwey scale

    Also known as: Hirsutism score

  • Diagnostic testTotal testosterone (ng/dL)

    Circulating total testosterone (LC-MS/MS or IQL-CDC method) at follicular phase

    Also known as: Sex steroid profile

  • Diagnostic testA1c (%)

    High Performance Liquid Chromatography (HPLC)

    Also known as: Metabolic control

  • Diagnostic testTotal cholesterol

    Determined by enzymatic methods

    Also known as: Lipid profile

  • OtherBody mass index (BMI) (kg/m2)

    Defined as body weight divided by the square of body height, and expressed in kg/m2

    Also known as: Anthropometrics and body composition

  • Diagnostic testFrequency of chronic vascular complications [n (%)]

    Retinopathy, nephropathy, neuropathy, and macrovascular disease.

  • Diagnostic testPolycystic ovary morphology

    Sonographic assessment

  • Diagnostic testCardiovascular autonomic reflex tests (CARTs)

    Cardioautonomic function assessement by Vital scan HW7-HW6T:

    Also known as: Cardiovascular function

  • Diagnostic testSex hormone-binding globulin (SHBG) (nmol/L)

    Circulating SHBG (IQL) at follicular phase

    Also known as: Sex steroid profile

  • Diagnostic testDehydroepiandrosterone-sulphate (IQL) (ng/mL)

    Circulating DHEAS (IQL) at follicular phase

    Also known as: Sex steroid profile

  • OtherWaist circumference (cm)

    Waist circumference measurement made at the top of the iliac crest

    Also known as: Anthropometrics and body composition

  • OtherWaist-to-hip ratio

    Waist circumference divided by hip circumference (measurement should be taken around the widest portion of the buttocks)

    Also known as: Anthropometrics and body composition

  • OtherBody composition

    Vital Scan HW7-HW6T

    Also known as: Bioimpedanciometry

  • Diagnostic testMean glucose (mg/dL)

    Continuous glucose monitoring (GCM) records

    Also known as: Metabolic control

  • Diagnostic testTime in target range (hours)

    Continuous glucose monitoring (GCM) records

    Also known as: Metabolic control

  • Diagnostic testTime in hyperglycemia (hours)

    Continuous glucose monitoring (GCM) records

    Also known as: Metabolic control

  • OtherInsulin dose (UI/Kg)

    Daily insulin dose divided by body weight

    Also known as: Metabolic control

  • OtherInsulin sensitivity

    Equation that relies on routine clinical measures: A1c, presence of hypertension, and waist circumference

    Also known as: Estimated glucose disposal rate (eGDR)

  • Diagnostic testHigh-density lipoprotein (HDL) (mg/dL)

    Enzymatic methods after precipitation of serum with phosphotungstic acid and Mg2+

    Also known as: HDL-cholesterol

  • Diagnostic testLow-density lipoprotein (LDL) (mg/dL)

    Estimated by the Friedewald's equation.

    Also known as: Lipid profile

  • Diagnostic testTriglycerides (mg/dL)

    Determined by enzymatic methods

    Also known as: Lipid profile

06

What researchers measure

Primary outcomes

  1. Prevalence of PCOS in T1DM

    Prevalence of PCOS in women with T1DM according to ESHRE-ASRM/Rotterdam criteria

    Time frame: 2020-2022

  2. Prevalence of classic PCOS in T1DM

    Prevalence of PCOS in women with T1DM according to classic NIH criteria

    Time frame: 2020-2022

  3. Prevalence of hyperandrogenic PCOS in T1DM

    Prevalence of PCOS in women with T1DM according to AES-PCOS criteria

    Time frame: 2020-2022

Secondary outcomes

  1. Prevalence of related traits in women with T1D

    Prevalence of related hyperandrogenic traits (idiopatic hirsutism, hyperandrogenemia, oligomenorrhea and isolated polycytic ovarian morphology) in women with T1DM

    Time frame: 2020-2022

  2. Influence fo the onset of type 1 diabetes on hyperandrogenism

    To assess the influence of the timing of diagnosis of type 1 diabetes in the appearance of hyperandrogenism, and also the possible effect of duration of diabetes.

    Time frame: 2020-2022

  3. Influence of Insulin Requirements on hyperandrogenism

    To describe daily insulin requirements and their influence on functional hyperandrogenism occurrence. We also aim to determine the effect of the chronic metabolic control in PCOS appearance.

    Time frame: 2020-2022

  4. Influence of metabolic control on hyperandrogenism

    To describe the influence of metabolic control (A1c) on functional hyperandrogenism occurrence. We also aim to determine the effect of the chronic metabolic control in PCOS appearance.

    Time frame: 2020-2022

  5. Influence of body composition on hyperandrogenism

    To evaluate the influence of risk factors body composition in the occurrence of ovarian hyperandrogenism and PCOS in women with type 1 diabetes.

    Time frame: 2020-2022

  6. Influence of hyperandrogenism on insulin requirements

    To describe the influence of hyperandrogenism on metabolic control.

    Time frame: 2020-2022

  7. Influence of hyperandrogenism on A1c

    To describe the influence of hyperandrogenism on metabolic control.

    Time frame: 2020-2022

  8. Influence of hyperandrogenism on mean glucose (GCM)

    To describe the influence of hyperandrogenism on metabolic control.

    Time frame: 2020-2022

  9. Influence of hyperandrogenism on time in range (GCM)

    To describe the influence of hyperandrogenism on metabolic control.

    Time frame: 2020-2022

  10. Influence of hyperandrogenism on chronic complications

    To describe the influence of hyperandrogenism on the frequency of chronic complications related to type 1 diabetes mellitus

    Time frame: 2020-2022

07

Study locations

1 site
  • Hospital Universitario Ramón y Cajal
    Madrid, 28034, Spain
08

References and documents

Publications

  • Escobar-Morreale HF, Roldan B, Barrio R, Alonso M, Sancho J, de la Calle H, Garcia-Robles R. High prevalence of the polycystic ovary syndrome and hirsutism in women with type 1 diabetes mellitus. J Clin Endocrinol Metab. 2000 Nov;85(11):4182-7. doi: 10.1210/jcem.85.11.6931. PubMed 11095451 ↗
  • Roldan B, Escobar-Morreale HF, Barrio R, de La Calle H, Alonso M, Garcia-Robles R, Sancho J. Identification of the source of androgen excess in hyperandrogenic type 1 diabetic patients. Diabetes Care. 2001 Jul;24(7):1297-9. doi: 10.2337/diacare.24.7.1297. No abstract available. PubMed 11423519 ↗
  • Codner E, Escobar-Morreale HF. Clinical review: Hyperandrogenism and polycystic ovary syndrome in women with type 1 diabetes mellitus. J Clin Endocrinol Metab. 2007 Apr;92(4):1209-16. doi: 10.1210/jc.2006-2641. Epub 2007 Feb 6. PubMed 17284617 ↗
  • Escobar-Morreale HF, Roldan-Martin MB. Type 1 Diabetes and Polycystic Ovary Syndrome: Systematic Review and Meta-analysis. Diabetes Care. 2016 Apr;39(4):639-48. doi: 10.2337/dc15-2577. PubMed 27208367 ↗
  • Codner E, Soto N, Lopez P, Trejo L, Avila A, Eyzaguirre FC, Iniguez G, Cassorla F. Diagnostic criteria for polycystic ovary syndrome and ovarian morphology in women with type 1 diabetes mellitus. J Clin Endocrinol Metab. 2006 Jun;91(6):2250-6. doi: 10.1210/jc.2006-0108. Epub 2006 Mar 28. PubMed 16569737 ↗
  • Codner E, Iniguez G, Villarroel C, Lopez P, Soto N, Sir-Petermann T, Cassorla F, Rey RA. Hormonal profile in women with polycystic ovarian syndrome with or without type 1 diabetes mellitus. J Clin Endocrinol Metab. 2007 Dec;92(12):4742-6. doi: 10.1210/jc.2007-1252. Epub 2007 Sep 25. PubMed 17895317 ↗
  • Gaete X, Vivanco M, Eyzaguirre FC, Lopez P, Rhumie HK, Unanue N, Codner E. Menstrual cycle irregularities and their relationship with HbA1c and insulin dose in adolescents with type 1 diabetes mellitus. Fertil Steril. 2010 Oct;94(5):1822-6. doi: 10.1016/j.fertnstert.2009.08.039. Epub 2009 Sep 30. PubMed 19796762 ↗
  • Codner E, Merino PM, Tena-Sempere M. Female reproduction and type 1 diabetes: from mechanisms to clinical findings. Hum Reprod Update. 2012 Sep-Oct;18(5):568-85. doi: 10.1093/humupd/dms024. Epub 2012 Jun 17. PubMed 22709979 ↗
  • Nattero-Chavez L, Alonso Diaz S, Jimenez-Mendiguchia L, Garcia-Cano A, Fernandez-Duran E, Dorado Avendano B, Escobar-Morreale HF, Luque-Ramirez M. Sexual Dimorphism and Sex Steroids Influence Cardiovascular Autonomic Neuropathy in Patients With Type 1 Diabetes. Diabetes Care. 2019 Nov;42(11):e175-e178. doi: 10.2337/dc19-1375. Epub 2019 Sep 17. No abstract available. PubMed 31530659 ↗
  • Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, Piltonen T, Norman RJ; International PCOS Network. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018 Sep 1;33(9):1602-1618. doi: 10.1093/humrep/dey256. PubMed 30052961 ↗
  • Escobar-Morreale HF, Carmina E, Dewailly D, Gambineri A, Kelestimur F, Moghetti P, Pugeat M, Qiao J, Wijeyaratne CN, Witchel SF, Norman RJ. Epidemiology, diagnosis and management of hirsutism: a consensus statement by the Androgen Excess and Polycystic Ovary Syndrome Society. Hum Reprod Update. 2012 Mar-Apr;18(2):146-70. doi: 10.1093/humupd/dmr042. Epub 2011 Nov 6. Erratum In: Hum Reprod Update. 2013 Mar-Apr;19(2):207. PubMed 22064667 ↗
  • Escobar-Morreale HF, Bayona A, Nattero-Chavez L, Luque-Ramirez M. Type 1 diabetes mellitus and polycystic ovary syndrome. Nat Rev Endocrinol. 2021 Dec;17(12):701-702. doi: 10.1038/s41574-021-00576-0. No abstract available. PubMed 34561669 ↗

Individual participant data

Plan to share: Yes — All data sets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report, Analytic code

Time frame: Since study ending with no time limit restriction

Access criteria: Reasonable request

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Ran from Mar 2020 to primary completion in Dec 2024, 57 months.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 7, 2021
First posted
Jul 28, 2021
StartActual
Mar 9, 2020
Primary completionActual
Dec 30, 2024
CompletionActual
Dec 30, 2024
Last update
Mar 17, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Mar 17, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04979377
Lead sponsor
Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal
Collaborators
Hospital Universitario Ramon y Cajal, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, University of Alcala, Instituto de Salud Carlos III
Responsible party
Manuel Luque Ramírez (Co-Principal investigator, Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal) — Principal investigator
First posted
Jul 28, 2021
Start date
Mar 9, 2020
Primary completion
Dec 30, 2024
Completion
Dec 30, 2024
Last update
Mar 17, 2025

Study contacts

Manuel Luque-Ramírez, PhD, MD, MBA
study director · CIBERDEM, Instituto de Salud Carlos III
Héctor F Escobar-Morreale, PhD, MD
study chair · University of Alcalá

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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