Correlation Between Hemoglobin Levels and Polycystic Ovary Syndrome Metabolic Disorder

Diabetes Metab Syndr Obes. 2023 Sep 28:16:3019-3027. doi: 10.2147/DMSO.S430120. eCollection 2023.

Abstract

Objective: The purpose of this study was to explore the relationship between hemoglobin levels and metabolic disorders in patients with PCOS.

Methods: A total of 573 patients were selected, based on the hemoglobin level; 342 patients with PCOS were divided into two groups as follows: Group A (normal Hb group, n = 269) and Group B (high Hb group, n = 73); 231 non-PCOS patients were divided into two groups as follows: Group C (normal Hb group, n = 199), and Group D (high Hb group, n = 32). The general information, glucose and lipid metabolism indicators, and uric acid levels of all patients were compiled for data analysis.

Results: (1) Hb, HGB concentration in mean red blood cells and RDW in PCOS patients were higher than those in non-PCOS patients, and MCV was lower than that in non-PCOS patients (P < 0.05); (2) Compared with Group A, patients in Group B had higher BMI, Hb, 2-hPG, FINS, 2-hINS, HOMA-IR, LDL-C, and uric acid levels while the QUICKI was lower; in Group C, the age, FSH, HDL-C, and LDL-C were higher, and AMH, BMI, T, TG, and uric acid level were lower (P<0.05); compared with Group D, AMH, BMI, FINS, HOMA-IR, TG, uric acid level increased, while age, FSH, and QUICKI decreased in Group B; and Hb and T decreased in Group C (P<0.05); (3) Pearson's correlation analysis indicated that Hb in PCOS patients was positively correlated with BMI, FPG, 2-hPG, FINS, 2-hINS, and HOMA-IR, and negatively correlated with the QUICKI (P<0.05); (4) Multi-factor logistic regression analysis suggested that the high Hb level in PCOS patients was an independent risk factor of IR (P<0.05).

Conclusion: Hb level in patients with PCOS was associated with BMI and glucose metabolism indicators; a high Hb level may be an independent risk factor for IR.

Keywords: hemoglobin; insulin resistance; metabolic disorder; polycystic ovary syndrome.

Grants and funding

This study was supported by the National Key Research and Development Program of China (Grant No.2021YFC2700402), Ningxia Hui Autonomous Region Science and Technology Special Project to Benefit the People (Grant No.2022CMG03018).