scholarly journals Clinical Risk Score for Central Precocious Puberty Among Girls with Precocious Pubertal Development: A Cross Sectional Study

2020 ◽  
Author(s):  
Jingyu You ◽  
Xianying Cheng ◽  
Xiaojing Li ◽  
Mingqin Li ◽  
Li Yao ◽  
...  
Keyword(s):  
Risk Score ◽  
Precocious Puberty ◽  
Pubertal Development ◽  
Central Precocious Puberty ◽  
Training Sample ◽  
Cross Sectional Study ◽  
Stimulation Test ◽  
Validation Sample ◽  
Cross Sectional ◽  
Score Model

Abstract Background The gold standard for the diagnosis of central precocious puberty (CPP) is gonadotropin-releasing hormone (GnRH) or GnRH analogs (GnRHa) stimulation test. But the stimulation test is time-consuming and costly. Our objective was to develop a risk score model with readily available features.Methods A cross sectional study based on the electronic medical record system including 627 girls with precocious puberty were conducted in the Children’s Hospital, Fudan University, Shanghai, China from January 2010 to August 2016. Patients were randomly split into the training (n=314) and validation (n=313) sample. In the training sample, variables associated with CPP (P<0.2) in univariate analyses were introduced in a multivariable logistic regression model and selected using a forward stepwise analysis. A risk score model was built with the scaled coefficients of the model and tested in the validation sample.Results CPP was diagnosed in 54.8% (172/314) and 55.0% (172/313) of patients in the training and validation sample respectively. The CPP risk score model included variables of age at onset of puberty, basal luteinizing hormone (LH) concentration, largest ovarian volume, and uterine volume. The C-index was 0.85 (95% CI: 0.81-0.89) for the training sample and 0.86 (95% CI: 0.82-0.90) for the validation sample. Two cut-off points were selected to delimitate a low- (<10 points), median- (10-19 points), and high-risk (≥ 20 points) group. Conclusions A risk score model developed among girls with precocious pubertal development had moderate discrimination to stratify CPP risk, which could help make decisions on the need for GnRH (GnRHa) stimulation test.

scholarly journals Clinical risk score for central precocious puberty among girls with precocious pubertal development: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jingyu You ◽  
Xianying Cheng ◽  
Xiaojing Li ◽  
Mingqing Li ◽  
Li Yao ◽  
...  
Keyword(s):  
Risk Score ◽  
Precocious Puberty ◽  
Pubertal Development ◽  
Central Precocious Puberty ◽  
Cross Sectional Study ◽  
Stimulation Test ◽  
Validation Sample ◽  
Sectional Study ◽  
Cross Sectional ◽  
Score Model

Abstract Background The gold standard for the diagnosis of central precocious puberty (CPP) is gonadotropin-releasing hormone (GnRH) or GnRH analogs (GnRHa) stimulation test. But the stimulation test is time-consuming and costly. Our objective was to develop a risk score model readily adoptable by clinicians and patients. Methods A cross-sectional study based on the electronic medical record system was conducted in the Children’s Hospital, Fudan University, Shanghai, China from January 2010 to August 2016. Patients with precocious puberty were randomly split into the training (n = 314) and validation (n = 313) sample. In the training sample, variables associated with CPP (P < 0.2) in univariate analyses were introduced in a multivariable logistic regression model. Prediction model was selected using a forward stepwise analysis. A risk score model was built with the scaled coefficients of the model and tested in the validation sample. Results CPP was diagnosed in 54.8% (172/314) and 55.0% (172/313) of patients in the training and validation sample, respectively. The CPP risk score model included age at the onset of puberty, basal luteinizing hormone (LH) concentration, largest ovarian volume, and uterine volume. The C-index was 0.85 (95% CI: 0.81–0.89) and 0.86 (95% CI: 0.82–0.90) in the training and the validation sample, respectively. Two cut-off points were selected to delimitate a low- (< 10 points), median- (10–19 points), and high-risk (≥ 20 points) group. Conclusions A risk score model for the risk of CPP had a moderate predictive performance, which offers the advantage of helping evaluate the requirement for further diagnostic tests (GnRH or GnRHa stimulation test).

Long-Term Outcomes of Patients with Central Precocious Puberty due to Hypothalamic Hamartoma after GnRHa Treatment: Anthropometric, Metabolic, and Reproductive Aspects

2017 ◽  
Vol 106 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Carolina O. Ramos ◽  
Ana C. Latronico ◽  
Priscilla Cukier ◽  
Delanie B. Macedo ◽  
Danielle S. Bessa ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Final Height ◽  
Standard Deviation Score ◽  
Central Precocious Puberty ◽  
Cross Sectional Study ◽  
Hypothalamic Hamartoma ◽  
Cross Sectional ◽  
Female Patients ◽  
Tertiary Center ◽  
The Mean

Background: Hypothalamic hamartoma (HH) represents the commonest cause of organic central precocious puberty (CPP). Follow-up of these patients in adulthood is scarce. Objective: To describe the anthropometric, metabolic, and reproductive parameters of patients with CPP due to HH before and after treatment with gonadotropin-releasing hormone analog (GnRHa). Methods: We performed a retrospective and cross-sectional study in a single tertiary center including 14 patients (7 females) with CPP due to HH. Results: The mean duration of GnRHa treatment was 7.7 ± 2.4 years in boys and 7.9 ± 2.1 years in girls. GnRHa treatment was interrupted at the mean chronological age (CA) of 12.1 ± 1.1 years in boys and 10.7 ± 0.5 years in girls. At the last visit, the mean CA of the male and female patients was 21.5 ± 3.2 and 24 ± 3.9 years, respectively. Eleven of the 14 patients reached normal final height (FH) (standard deviation score -0.6 ± 0.9 for males and -0.6 ± 0.5 for females), all of them within the target height (TH) range. The remaining 3 patients had predicted height within the TH range. The mean body mass index and the percentage of body fat mass was significantly higher in females, with a higher prevalence of metabolic disorders. All patients presented normal gonadal function in adulthood, and 3 males fathered a child. Conclusion: All patients with CPP due to HH reached normal FH or near-FH. A higher prevalence of overweight/obesity and hypercholesterolemia was observed in the female patients. Finally, no reproductive disorder was identified in both sexes, indicating that HH per se has no deleterious effect on the gonadotropic axis in adulthood.

A cross sectional study on assessment of risk of diabetes mellitus using Indian diabetic risk score in a medical college teaching hospital

2020 ◽  
Vol 5 (2) ◽  
pp. 32-40
Author(s):  
Singam Sivasankar Reddy ◽  
Syeda Rahath ◽  
Rakshitha H N ◽  
Godson K Lal ◽  
Swathy S ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Risk Score ◽  
Hospital Setting ◽  
College Teaching ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Patient Counselling ◽  
Related Quality

The objective of the study was to evaluate the risk of diabetes mellitus in elderlywith age above 20 years in a hospital setting using Indian Diabetes risk score and to provide patient counselling regarding their life style modifications and health related quality of life among participants with high risk of developing diabetes.A total of 125 non diabetic patients were interviewed with a pre designed selfstructured questionnaire (IDRS). Participants were chosen voluntarily and a written consent was obtained before the administration of the questionnaire from individual patients. In our study we observed that out of 125 patients,males 26[59%]and 18[41%] females were at high risk, males 39[58.2%] and 28[41.8%] females were at moderate risk, males 5[35.7%] and 9[64.3%] females were at low risk of developing diabetes mellitus.

Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study (Preprint)

2018 ◽  
Author(s):  
Liyan Pan ◽  
Guangjian Liu ◽  
Xiaojian Mao ◽  
Huixian Li ◽  
Jiexin Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Retrospective Study ◽  
Random Forest ◽  
Precocious Puberty ◽  
Prediction Models ◽  
Central Precocious Puberty ◽  
Machine Learning Algorithms ◽  
Stimulation Test ◽  
Gnrh Analogue ◽  
Prediction Probability

BACKGROUND Central precocious puberty (CPP) in girls seriously affects their physical and mental development in childhood. The method of diagnosis—gonadotropin-releasing hormone (GnRH)–stimulation test or GnRH analogue (GnRHa)–stimulation test—is expensive and makes patients uncomfortable due to the need for repeated blood sampling. OBJECTIVE We aimed to combine multiple CPP–related features and construct machine learning models to predict response to the GnRHa-stimulation test. METHODS In this retrospective study, we analyzed clinical and laboratory data of 1757 girls who underwent a GnRHa test in order to develop XGBoost and random forest classifiers for prediction of response to the GnRHa test. The local interpretable model-agnostic explanations (LIME) algorithm was used with the black-box classifiers to increase their interpretability. We measured sensitivity, specificity, and area under receiver operating characteristic (AUC) of the models. RESULTS Both the XGBoost and random forest models achieved good performance in distinguishing between positive and negative responses, with the AUC ranging from 0.88 to 0.90, sensitivity ranging from 77.91% to 77.94%, and specificity ranging from 84.32% to 87.66%. Basal serum luteinizing hormone, follicle-stimulating hormone, and insulin-like growth factor-I levels were found to be the three most important factors. In the interpretable models of LIME, the abovementioned variables made high contributions to the prediction probability. CONCLUSIONS The prediction models we developed can help diagnose CPP and may be used as a prescreening tool before the GnRHa-stimulation test.

scholarly journals Neck circumference as a risk indicator for type 2 diabetes mellitus: a community based cross-sectional study

2019 ◽  
Vol 6 (11) ◽  
pp. 4624
Author(s):  
Balaji Arumugam ◽  
Aadarshna R. ◽  
Suganya E.
Keyword(s):  
Diabetes Mellitus ◽  
Waist Circumference ◽  
Risk Score ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Rank Test ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sign Rank Test ◽  
Study Participants

Background: Diabetes mellitus is a metabolic syndrome due to insulin deficiency, characterized by hyperglycaemia. Indian diabetes risk score (IDRS) is the most commonly used one to determine the risk status. However there is lot of inconvenience and possible errors in measuring the waist circumference to determine the IDRS, hence the study was planned to evaluate if neck circumference could replace waist circumference in determining the diabetes risk.Methods: This cross sectional study was conducted among 300 study participants fulfilling the eligible criteria. Socio-demographic variables, parameters required for determining the IDRS was assessed, in addition, neck circumference (NC) was measured using standard protocol. Another risk score was calculated by replacing waist circumference (WC) with neck circumference and scoring was named as IDRS-NC. Pearson correlation and Wilcoxan sign rank test was done to find out the relationship between WC and NC and also to determine if IDRS-NC could replace IDRS.Results: Out of 300 study population, majority of the participants are in the age group of <35 years 129 (43%) and around 2/3rd of the participants were females. Among the study participants proportion of participants belonging to low risk, medium risk and high risk assessed using IDRS and IDRS-NC was 18.7%, 41%, 40.3% and 31.7%, 38%, 30.3% respectively. There was a strong positive correlation (r=0.837) between the neck circumference and waist circumference. Wilcoxan sign rank test was significant between the 2 scores having a p value of <0.05.Conclusions: In our study there was a positive correlation between neck circumference and waist circumference.

scholarly journals The Efficacy of New Chinese Diabetes Risk Score in Screening Undiagnosed Type 2 Diabetes and Prediabetes: A Community-Based Cross-Sectional Study in Eastern China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Tao Mao ◽  
Jiayan Chen ◽  
Haijian Guo ◽  
Chen Qu ◽  
Chu He ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Eastern China ◽  
Cross Sectional Study ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Community Residents ◽  
Diabetes Risk Score

The New Chinese Diabetes Risk Score (NCDRS) is one of the recommended tools for screening undiagnosed type 2 diabetes in China. However, its performance in detecting undiagnosed diabetes needs to be verified in different community populations. Also, it is unknown whether NCDRS can be used in detecting prediabetes. In the present study, we aimed to evaluate the performance of NCDRS in detecting undiagnosed diabetes and prediabetes among the community residents in eastern China. We applied NCDRS in 7675 community residents aged 18-65 years old in Jiangsu Province. The results showed that the participants with undiagnosed diabetes reported the highest NCDRS value, followed by those with prediabetes (P<0.001). The best cut-off points of NCDRS for detecting undiagnosed diabetes and prediabetes were 27 (with a sensitivity of 78.0% and a specificity of 57.7%) and 27 (with a sensitivity of 66.0% and a specificity of 62.9%). The AUCs of NCDRS for identifying undiagnosed diabetes and prediabetes were 0.749 (95% CI: 0.739~0.759) and 0.694 (95% CI: 0.683~0.705). These results demonstrate the excellent performance of NCDRS in screening undiagnosed diabetes in the community population in eastern China and further provide evidence for using NCDRS in detecting prediabetes.

Levels of the small insulin-like growth factor-binding protein are strongly related to those of insulin in prepubertal and pubertal children but only weakly so after puberty

1989 ◽  
Vol 121 (2) ◽  
pp. 383-387 ◽  
Author(s):  
J. M. P. Holly ◽  
C. P. Smith ◽  
D. B. Dunger ◽  
J. A. Edge ◽  
R. A. Biddlecombe ◽  
...  
Keyword(s):  
Growth Factor ◽  
Binding Protein ◽  
Pubertal Development ◽  
Circadian Variation ◽  
Cross Sectional Study ◽  
Insulin Like Growth Factor ◽  
Sectional Study ◽  
Normal Children ◽  
Cross Sectional ◽  
The Relationship

ABSTRACT We have looked at the relationship between fasting levels of insulin and a small insulin-like growth factor (IGF)-binding protein (IBP-1) in a cross-sectional study of 116 normal subjects aged 5–48 years. The relationship between IBP-1 and insulin was also examined within individual normal children in over-night profiles of IBP-1 and insulin obtained from two children at each stage of puberty (Tanner stages 1–5). In the cross-sectional study high levels of IBP-1 were found in early childhood and these fell throughout puberty as fasting levels of insulin rose. Multiple regression analysis revealed that both these changes were predominantly due to pubertal development rather than to age. After the age of 16 IBP-1 levels remained low despite fasting insulin levels returning to prepubertal levels. A strong negative correlation was obtained between IBP-1 and insulin in children of 5–16 years (r = −0·63; n = 60; P <0·001), no such relationship being found after the age of 16. In the second study, IBP-1 underwent a marked circadian variation in all cases and an inverse correlation with insulin, measured at the same time, was obtained at pubertal stages 1 to 4, but not at stage 5 (pooled data stages 1–4, r = −0·69; n = 53; P <0·001). We have demonstrated that a potential inhibitor of IGF-activity is inversely related to insulin throughout the period of active GH-related growth and that this relationship weakens after puberty. Journal of Endocrinology (1989) 121, 383–387

scholarly journals Urinary bisphenol A and pubertal development in Chinese school-aged girls: a cross-sectional study

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Maohua Miao ◽  
Ziliang Wang ◽  
Xiaoqin Liu ◽  
Hong Liang ◽  
Zhijun Zhou ◽  
...  
Keyword(s):  
Bisphenol A ◽  
Pubertal Development ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chinese School
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