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Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh

Received: 11 April 2021    Accepted: 15 June 2021    Published: 30 June 2021
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Abstract

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder associated with various phenotypic expressions. Aims: This study was conducted to observe and compare various metabolic components in different phenotypes of PCOS and to find out the frequency of insulin resistance (IR) among them. Materials and Methods: Eighty (80) patients diagnosed as case of PCOS as per inclusion and exclusion criteria were recruited in this cross sectional observational study. Patients were categorized in 4 different phenotypes based on the presence of oligo/anovulation (O), hyperandrogenism (H) and polycystic ovarian morphology (P): (i) Phenotype A (O+H+P), Phenotype B (O+H), (iii) Phenotype C (H+P) and (iv) Phenotype D (O+P). Demographic, anthropometric, biochemical and metabolic parameters were recorded and compared by ANOVA & Chi Square test using SPSS software version 22.0. Results: Most prevalent phenotype was phenotype A (55%) followed by phenotype D (22.5%), phenotype B (15%) & phenotype C (7.5%). Phenotype A & B had higher mean body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), total testosterone (TT), fasting insulin, triglycerides (TG) & lower HDL-cholesterol in comparison to phenotype C & D (P value 0.001, 0.000, 0.000, 0.003, 0.000, 0.005 & 0.046 respectively). Fasting plasma glucose (FPG), plasma glucose 2 hours after 75 grams oral glucose load (AG), total cholesterol & LDL-cholesterol were comparable among the phenotypes (P value 0.636, 0.829, 0.143 & 0.201 respectively). Overall frequency of IR as defined by HOMA-IR≥3.8 was 61.25%. Highest frequency of IR was found in phenotype B followed by phenotype A and least in phenotype D (IR in A, B, C & D were 72.73%, 83.33%, 33.33% & 27.28%, P 0.002). Conclusion: Phenotype A & B had higher degree of deranged metabolic parameters than other phenotypes. Insulin resistance is mostly associated with phenotype A & B and least in normoandrogenic phenotype (phenotype D).

Published in International Journal of Diabetes and Endocrinology (Volume 6, Issue 3)
DOI 10.11648/j.ijde.20210603.11
Page(s) 88-94
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Polycystic Ovary Syndrome, Phenotype, Metabolic Profile, Insulin Resistance

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    Mohammad Afjal Hossain, Milton Barua, Mirza Sharifuzzaman, Farzana Amin, Lutful Kabir, et al. (2021). Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh. International Journal of Diabetes and Endocrinology, 6(3), 88-94. https://doi.org/10.11648/j.ijde.20210603.11

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    Mohammad Afjal Hossain; Milton Barua; Mirza Sharifuzzaman; Farzana Amin; Lutful Kabir, et al. Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh. Int. J. Diabetes Endocrinol. 2021, 6(3), 88-94. doi: 10.11648/j.ijde.20210603.11

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    AMA Style

    Mohammad Afjal Hossain, Milton Barua, Mirza Sharifuzzaman, Farzana Amin, Lutful Kabir, et al. Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh. Int J Diabetes Endocrinol. 2021;6(3):88-94. doi: 10.11648/j.ijde.20210603.11

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  • @article{10.11648/j.ijde.20210603.11,
      author = {Mohammad Afjal Hossain and Milton Barua and Mirza Sharifuzzaman and Farzana Amin and Lutful Kabir and Nusrat Mahmud and Faria Afsana and Faruque Pathan and Mahmudul Kabir and Mahmudul Islam Talukder and Amanat Ullah},
      title = {Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh},
      journal = {International Journal of Diabetes and Endocrinology},
      volume = {6},
      number = {3},
      pages = {88-94},
      doi = {10.11648/j.ijde.20210603.11},
      url = {https://doi.org/10.11648/j.ijde.20210603.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijde.20210603.11},
      abstract = {Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder associated with various phenotypic expressions. Aims: This study was conducted to observe and compare various metabolic components in different phenotypes of PCOS and to find out the frequency of insulin resistance (IR) among them. Materials and Methods: Eighty (80) patients diagnosed as case of PCOS as per inclusion and exclusion criteria were recruited in this cross sectional observational study. Patients were categorized in 4 different phenotypes based on the presence of oligo/anovulation (O), hyperandrogenism (H) and polycystic ovarian morphology (P): (i) Phenotype A (O+H+P), Phenotype B (O+H), (iii) Phenotype C (H+P) and (iv) Phenotype D (O+P). Demographic, anthropometric, biochemical and metabolic parameters were recorded and compared by ANOVA & Chi Square test using SPSS software version 22.0. Results: Most prevalent phenotype was phenotype A (55%) followed by phenotype D (22.5%), phenotype B (15%) & phenotype C (7.5%). Phenotype A & B had higher mean body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), total testosterone (TT), fasting insulin, triglycerides (TG) & lower HDL-cholesterol in comparison to phenotype C & D (P value 0.001, 0.000, 0.000, 0.003, 0.000, 0.005 & 0.046 respectively). Fasting plasma glucose (FPG), plasma glucose 2 hours after 75 grams oral glucose load (AG), total cholesterol & LDL-cholesterol were comparable among the phenotypes (P value 0.636, 0.829, 0.143 & 0.201 respectively). Overall frequency of IR as defined by HOMA-IR≥3.8 was 61.25%. Highest frequency of IR was found in phenotype B followed by phenotype A and least in phenotype D (IR in A, B, C & D were 72.73%, 83.33%, 33.33% & 27.28%, P 0.002). Conclusion: Phenotype A & B had higher degree of deranged metabolic parameters than other phenotypes. Insulin resistance is mostly associated with phenotype A & B and least in normoandrogenic phenotype (phenotype D).},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Metabolic Profile and Insulin Resistance in Different Phenotypes of Polycystic Ovary Syndrome Attending in a Tertiary Care Hospital of Bangladesh
    AU  - Mohammad Afjal Hossain
    AU  - Milton Barua
    AU  - Mirza Sharifuzzaman
    AU  - Farzana Amin
    AU  - Lutful Kabir
    AU  - Nusrat Mahmud
    AU  - Faria Afsana
    AU  - Faruque Pathan
    AU  - Mahmudul Kabir
    AU  - Mahmudul Islam Talukder
    AU  - Amanat Ullah
    Y1  - 2021/06/30
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijde.20210603.11
    DO  - 10.11648/j.ijde.20210603.11
    T2  - International Journal of Diabetes and Endocrinology
    JF  - International Journal of Diabetes and Endocrinology
    JO  - International Journal of Diabetes and Endocrinology
    SP  - 88
    EP  - 94
    PB  - Science Publishing Group
    SN  - 2640-1371
    UR  - https://doi.org/10.11648/j.ijde.20210603.11
    AB  - Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder associated with various phenotypic expressions. Aims: This study was conducted to observe and compare various metabolic components in different phenotypes of PCOS and to find out the frequency of insulin resistance (IR) among them. Materials and Methods: Eighty (80) patients diagnosed as case of PCOS as per inclusion and exclusion criteria were recruited in this cross sectional observational study. Patients were categorized in 4 different phenotypes based on the presence of oligo/anovulation (O), hyperandrogenism (H) and polycystic ovarian morphology (P): (i) Phenotype A (O+H+P), Phenotype B (O+H), (iii) Phenotype C (H+P) and (iv) Phenotype D (O+P). Demographic, anthropometric, biochemical and metabolic parameters were recorded and compared by ANOVA & Chi Square test using SPSS software version 22.0. Results: Most prevalent phenotype was phenotype A (55%) followed by phenotype D (22.5%), phenotype B (15%) & phenotype C (7.5%). Phenotype A & B had higher mean body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), total testosterone (TT), fasting insulin, triglycerides (TG) & lower HDL-cholesterol in comparison to phenotype C & D (P value 0.001, 0.000, 0.000, 0.003, 0.000, 0.005 & 0.046 respectively). Fasting plasma glucose (FPG), plasma glucose 2 hours after 75 grams oral glucose load (AG), total cholesterol & LDL-cholesterol were comparable among the phenotypes (P value 0.636, 0.829, 0.143 & 0.201 respectively). Overall frequency of IR as defined by HOMA-IR≥3.8 was 61.25%. Highest frequency of IR was found in phenotype B followed by phenotype A and least in phenotype D (IR in A, B, C & D were 72.73%, 83.33%, 33.33% & 27.28%, P 0.002). Conclusion: Phenotype A & B had higher degree of deranged metabolic parameters than other phenotypes. Insulin resistance is mostly associated with phenotype A & B and least in normoandrogenic phenotype (phenotype D).
    VL  - 6
    IS  - 3
    ER  - 

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Author Information
  • Department of Endocrinology, US- Bangla Medical College, Narayanganj, Bangladesh

  • Department of Medicine, Endocrinology & Diabetes, Chittagong General Hospital, Chittagong, Bangladesh

  • Department of Endocrinology, Dhaka Medical College, Dhaka, Bangladesh

  • Department of Obstetrics and Gynaecology, South East Model Hospital, Dhaka, Bangladesh

  • Department of Endocrinology, Rangpur Medical College, Rangpur, Bangladesh

  • Department of Obstetrics and Gynaecology, BIRDEM General Hospital, Dhaka, Bangladesh

  • Department of Endocrinology, BIRDEM General Hospital, Dhaka, Bangladesh

  • Department of Endocrinology, BIRDEM General Hospital, Dhaka, Bangladesh

  • Department of Endocrinology, BIRDEM General Hospital, Dhaka, Bangladesh

  • Department of Medicine, Dhaka Medical College, Dhaka

  • Acute Medicine, Medway Maritime Hospital, Gillingham, Kent, UK

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