Primary Ovarian Insufficiency
Conditions
Keywords
Primary Ovarian Insufficiency, nomogram
Brief summary
The purpose of this research is to develop a predictive nomogram for primary ovarian insufficiency.
Detailed description
Many researches show primary ovarian insufficiency(POI) etiology is related with gene,immunization,iatrogenic, infection factors and social factors etc. In fact, approximate 70-90% POI have no definite cause, so a lot of patients don't know what will happen when they in occult stage of POI. In this research, researchers will investigate all possible factors in POI patients and normal women and select the valuable risk factor by integrated by statistical method to establish the reasonable predictive model. This study consists two stages.The fist stage is the model establishment, the second stage is the certificate and evaluate the model.
Interventions
None listed
Sponsors
Guangzhou University of Traditional Chinese Medicine
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 42 Years
Healthy volunteers
Yes
Inclusion criteria
* Age18--42 * Definite spontaneous last menstrual period * Informed consent for participating this research and could answer the questionnaires faithfully.
Exclusion criteria
* Congenital gonadal dysgenesis and non organic diseases lead to menstrual disorders. * Endocrine diseases such Polycystic ovary syndrome, hyperprolactinemia, dysfunctional uterine bleeding, low gonadotropin menstrual disorders and hyperthyreosis * Reproductive toxicity of drugs used * Release of chemotherapeutic drugs * Accept sex hormone medicine in recent 3 months * Pregnant and lactating women * With serious heart, liver, kidney and other diseases * With severe psychiatric disorders
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Draw the Primary Ovarian insufficiency normogram | 1years | Retrospective Investigation on inclusion criteria populations through multivariate cox proportional hazards regression analysis of independent risk factors can enter the predictive model using R software based on regression coefficient related variables draw the corresponding nomogram (nomogram) . |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Verify and evaluate the evaluation of Primary Ovarian insufficiency normogram | 2years | using the bootstrap method nomogram for internal verification to reduce overfitting bias, the evaluation of the model to predict the risk of premature menopause conformity. In the study population data, select postmenopausal cases, the use of prediction of survival analysis model initial assessment model; select Not menopause an independent risk factor for the population were followed ovarian anti-Mullerian hormone (AMH) decreased the extent of menopause Age as a standard curve prediction, evaluation nomogram model predictive accuracy and clinical value of premature menopause, and finally provide the first Chinese people have the physical characteristics of premature menopause prediction model |
Countries
China
Outcome results
None listed