Young-onset diabetes in women with Polycystic Ovary Syndrome: A territory-wide retrospective analysis in Hong Kong

Ng, Noel; Wu, Hongjiang; Lau, Eric S.H.; Zhang, Xinge; Yang, Aimin; Tsang, Atta Y.T.; Yau, Tsz Kok; Kong, Alice Pik‐Shan; Ng, K. Y.; Chung, Jacqueline Pui Wah; Chow, Elaine; Chan, Juliana C.N.; Cheung, Lai Ping; Luk, Andrea; Ma, Rong

doi:10.1016/j.diabres.2023.110640

Cited by 5 publications

(1 citation statement)

References 43 publications

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“…The incidence of PCOS in women is increasing due to an aging population, and the possibility of metabolic syndrome is also increasing concomitantly ( 69 ). Women who experience PCOD during their reproductive years develop diabetes at around the age of 40 ( 70 ).…”

Section: Discussionmentioning

confidence: 99%

Molecular role of non-exonic variants in CALPAIN 10 gene in polycystic ovarian syndrome in Saudi women

Alageel,

Alshammary,

Ali Khan

2023

Front. Endocrinol.

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IntroductionNon-diabetic women with polycystic ovarian syndrome (PCOS) often have abnormal insulin regulation. Calpain 10 (CALP10) is a biomarker of type 2 diabetes mellitus, with some of its single-nucleotide polymorphisms (SNPs) influencing PCOS development.MethodsIn this case-control study on 90 women each with and without PCOS, we explored the molecular role of five CALP10 SNPs using biochemical parameters and Sanger sequencing analyses.ResultsDifferent genetic models, genotypes, and allele frequencies were significantly associated with UCSNP-19 (rs3842570; p=0.01), UCSNP-44 (rs2975760; p=0.009), UCSNP-56 (rs2975762; p<0.0001), and UCSNP-63 (rs5030952; p=0.0003) in women with PCOS. The multiple logistic regression model showed a strong association of CALP10 SNPs with fasting blood glucose (p<0.001). ANOVA showed significant associations with various biochemical parameters such as FSH (p=0.0001) in UCSNP-19 (rs3842570), FI (p=0.002), TG (p=0.01) in UCSNP-56 (rs2975762) and FBG (p=0.001), FI (p=0.004), FSH (p=0.02) & LDLc (p=0.04) in UCSNP-63 (rs5030952) SNPs. Haplotype analysis also revealed significant associations between different combinations of alleles in the studied 5 SNPs in women with PCOS (p<0.05). Generalized multifactor dimensionality reduction analysis showed the best gene–gene interactions among the five SNPs in CALP10I (p<0.05). However, dendrogram and graphical depletion models found no strong association in women with PCOS.ConclusionIn conclusion, this study confirms rs3842570, rs2975760, rs2975767, and rs5030952 SNPs in CALP10 gene is associated in diagnosed PCOS women in the Saudi Arabia.

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Section: Discussionmentioning

confidence: 99%

Molecular role of non-exonic variants in CALPAIN 10 gene in polycystic ovarian syndrome in Saudi women

Alageel,

Alshammary,

Ali Khan

2023

Front. Endocrinol.

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Diabetes screening among women with polycystic ovary syndrome: a descriptive study of commercial claims, 2011–2019

Vollmer,

Christian,

Lacy

2024

BMC Endocr Disord

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Background Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 6–12% of United States women of reproductive age. Because women with PCOS are at an increased risk of developing type 2 diabetes, clinical practice guidelines from a number of organizations (e.g. American Diabetes Association, American College of Obstetricians and Gynecologists, US Preventive Services Task Force) recommend that individuals with PCOS are routinely screened for diabetes. Guidelines further indicate that an oral glucose tolerance test (OGTT) should be used for diabetes screening in women with PCOS as opposed to an A1C or fasting plasma glucose test. The purpose of this study is two-fold: 1) to estimate rates of diabetes screening among a nationwide sample of commercially insured women with PCOS and 2) to report the percentage of women screened using each test (OGTT, A1C, fasting plasma glucose) among those who were screened. Methods We used the MarketScan Commercial Claims database (2011–2019) to identify a sample of women aged 18–64 years with PCOS who were free from diabetes at baseline and had ≥ 5 years of continuous enrollment in their insurance plan. PCOS was ascertained using International Classification of Disease diagnosis codes (ICD-9: 256.4; ICD-10: E28.2). Diabetes screening was ascertained using Current Procedural Terminology (CPT) codes (A1C: 8303683037; Fasting blood sugar: 82947; OGTT: 82950). Diabetes screening rates were calculated for the overall study sample as well as across subgroups defined by age, overweight/obesity, hypertension, hypercholesterolemia, and vascular disease. Results In our sample of 191,110 commercially insured women with PCOS, 73.40% were screened at least once for diabetes during a five-year period. Among the women screened, 19.24% were screened using the Androgen Excess Society (AES)-recommended OGTT, 61.58% were screened using A1C, and 23.37% were screened using fasting blood sugar. Conclusions In a sample of commercially insured individuals spanning the timeframe 2011–2019, nearly 75% of women with PCOS complied with the ACOG screening guidelines for diabetes. Although OGTT is recommended as the preferred screening tool for women with PCOS it was less commonly used than A1C and fasting blood sugar tests.

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Population-Based Clinical Studies Using Routinely Collected Data in Hong Kong, China: A Systematic Review of Trends and Established Local Practices

Wu,

Nam,

Leung

et al. 2023

CVIA

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Background: Routinely collected health data are increasingly used in clinical research. No study has systematically reviewed the temporal trends in the number of publications and analyzed different aspects of local research practices and their variations in Hong Kong, China, with a specific focus on research ethics governance and approval. Methods: PubMed was systematically searched from its inception to March 28, 2023, for studies using routinely collected healthcare data from Hong Kong. Results: A total of 454 studies were included. Between 2000 and 2009, 32 studies were identified. The number of publications increased from 5 to 120 between 2010 and 2022. Of the investigator-led studies using the Hospital Authority (HA)’s cross-cluster data (n = 393), 327 (83.2%) reported receiving ethics approval from a single cluster/university-based REC, whereas 50 studies (12.7%) did not report approval from a REC. For use of the HA Data Collaboration Lab, approval by a single hospital-based or University-based REC is accepted. Repeated submission of identical ethics applications to different RECs is estimated to cost HK$4.2 million yearly. Conclusions: Most studies reported gaining approval from a single cluster REC before retrieval of cross-cluster HA data. Substantial cost savings would result if repeated review of identical ethics applications were not required.

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Young-onset diabetes in women with Polycystic Ovary Syndrome: A territory-wide retrospective analysis in Hong Kong

Cited by 5 publications

References 43 publications

Molecular role of non-exonic variants in CALPAIN 10 gene in polycystic ovarian syndrome in Saudi women

Molecular role of non-exonic variants in CALPAIN 10 gene in polycystic ovarian syndrome in Saudi women

Diabetes screening among women with polycystic ovary syndrome: a descriptive study of commercial claims, 2011–2019

Population-Based Clinical Studies Using Routinely Collected Data in Hong Kong, China: A Systematic Review of Trends and Established Local Practices

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