Volume 22, Issue 10 (October 2024)                   IJRM 2024, 22(10): 811-820 | Back to browse issues page

Ethics code: IR.MODARES.REC.1399.162


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Haghipour Z, Jahanian Sadatmahalleh S, Razavinia F, Nasiri M. Association between menstrual disorders and anti-Müllerian hormone with COVID-19: A prospective cohort study. IJRM 2024; 22 (10) :811-820
URL: http://ijrm.ir/article-1-3223-en.html
1- Department of Reproductive Health and Midwifery, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
2- Department of Reproductive Health and Midwifery, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. , Shahideh.Jahanian@modares.ac.ir
3- Midwifery Department, Reproductive Health Promotion Research Center, Nursing and Midwifery School, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4- Department of Basic Sciences, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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1. Introduction
The coronavirus 2019 (COVID-19) pandemic mainly causes infections of the nose, throat, bronchi, and lungs, leading to cold symptoms and severe pneumonia (1). It may also involve other parts of the body such as neural, vascular, gastrointestinal, and reproductive systems, and thus, cause coagulation and gynecological disorders (2). Furthermore, there is the possibility of the involvement of female organs, including the uterus, ovaries, fallopian tubes, etc. (3). Organs with high angiotensin-converting enzyme 2 (ACE2) expressions might be attacked by COVID-19 (4). A study reported that ACE2 is expressed in ovarian granulosa cells, thus, reproductive endocrine function may be injured in this infection (5, 6). Also, menopausal women’s estrogen and anti-Mullerian hormone (AMH) levels were inversely linked with the severity of COVID-19 (7). ACE2 is expressed in the thyroid gland (8), which probably affects hormonal disorders and makes changes in the hypothalamic-pituitary-thyroid axis such that COVID-19 virus has been detected in the pituitary gland post mortem (9). It is also known to damage the follicular and parafollicular cells of the thyroid at post mortem and probably causing autoimmune disease, which causes changes in the thyroid hormone levels and thyroid peroxidase (TPO) (1).
Moreover, the COVID-19 pandemic period led to an increase in the amount of stress, anxiety, and depression, affecting women more than men (10). Studies have shown that external factors such as stress and anxiety affect the hypothalamic-pituitary-ovarian axis, causing changes in the pulsating secretion of hormones such as follicle-stimulating hormone, luteinizing hormone, and menstrual disorders (11, 12).
So far, the COVID-19 virus has infected large populations throughout the world. Because the disease is unknown, it is important to identify its effects and complications. On the other hand, several studies have shown the effect of COVID-19 on the reproductive system and fertility (13-15).
Due to the high number of COVID-19 patients and the economic, physical, and psychological burden of reproductive and fertility diseases, we decided to investigate the effect of the COVID-19 virus on menstrual disorders and AMH, TPO, thyroid stimulating hormone (TSH) and prolactin levels in women with the COVID-19 disease. Therefore, the current study aimed to assess the menstrual disorder and the AMH, TSH, TPO, and prolactin levels in female patients with COVID-19.

2. Materials and Methods
2.1. Study design
This prospective cohort study was conducted on 201 women (101 healthy [negative polymerase chain reaction (PCR)] and 100 women with COVID-19). All participants were discharged from the hospital after the improvement in clinical and para-clinical symptoms (erythrocyte sedimentation rate, C-reactive protein) and the PCR test was not performed again to become negative. In fact, the participants were confirmed cases of COVID-19 in Nomadic hospital, Khorramabad, Iran from February-October 2021 (Figure 1).

2.2. Sample size
The sample size was determined by a pilot study with 95% confidence interval and 80% power test as follows:



2.3. Inclusion criteria
Participants aged between 18 and 40 yr with COVID-19, admitted to the ward, lack of vaccination, and had Iranian nationality were included in the study.

2.4. Exclusion criteria
Participants with a lack of desire to participate in the study, pregnancy at the time of study, being in a high-risk group, including treatment with corticosteroids (> 12.5 mg/wk of prednisolone), having a history of malignancy and chemotherapy, organ transplants, having endocrine diseases such as diabetes, hyperthyroidism, and hyper prolactinemia (according to the medical records), suffering from HIV and Hepatitis B or C, body mass index (BMI) > 40, re-infection of the patient with COVID-19 during the study, having a history of drug and alcohol addiction, and having menstrual disorders or menopausal symptoms and complaints before COVID-19, were excluded from the study.

2.5. Study design
The participants having the inclusion criteria were trained about how to fill out checklists and charts of menstrual disorders. All the participants were people who needed hospitalization due to the severity of the disease. All patients, that is, the case group, were admitted according to clinical symptoms and a positive PCR test. In other words, only one PCR test was performed for the patient group. Also, the PCR test was performed once at the beginning of the study for people who did not have clinical symptoms, and these people were included in the control group. After recovery from COVID-19, interviews were conducted about their menstrual cycle in the 1st and 4th months. The healthy group interview was conducted during the collection of the patient group. Demographic fertility questionnaires were completed (at the beginning of the study), and blood pressure and BMI were assessed using standard instruments. To evaluate menorrhagia, sanitary pads were given to the women to be used in 4th month’s cycle. The Pictorial Blood Loss Assessment Chart (PBLAC) was utilized to evaluate menstrual blood loss (16). This chart records the daily amount of menstrual bleeding by noting the number of clotsand the extent of staining on each pad or tampon. All participants completed their charts for one menstrual cycle, using the same sanitary products. Due to the need to use the same pads in both groups, the amount of menorrhagia was measured only in the 4th month between the 2 groups (17).
Then, the changes in bleeding were charted. Both groups of participants were examined for menstrual disorders for 4 months (Figure 1).
Definitions and terminology for menstrual pattern:
  • A normal menstrual cycle is characterized by an interval of 21 to 35 days and menstrual duration of 7 days or less (14).
  • The menstrual cycle length is defined as the number of days from the onset of menstruation to the beginning of the next period (14).
  • Menstrual irregularities occur when the interval between 2 periods is either less than 21 days or more than 35 days (18).
  • Menorrhagia is defined as a PBLAC score of 100 or higher (19).

2.6. Laboratory measurements
Blood samples (5 ml) were taken and centrifuged (4000 rpm for 10 min). Then the serum was separated and frozen (-70°C) to evaluate the changes in AMH (ng/ml), TSH (Ulu/ml), TPO (IU/ml), and prolactin (ng/ml) levels by enzyme-linked immunosorbent assay. 4 months later, 5 cc of blood was taken from both groups again.


2.7. Ethical Considerations

The research was approved by the Ethics Committee of Tarbiat Modares University of Medical Sciences, Tehran, Iran (Code: IR.MODARES.REC.1399.162). The study was conducted according to the 1964 Helsinki declaration and the ethical standards of the Regional Research Committee. After the study was explained, the informed consent form was completed. Their participation was voluntary, confidential and anonymous and they had the right to withdraw.

2.8. Statistical Analysis
Data processing and statistical analysis were conducted using the Statistical Package for Social Science (SPSS, ver. 23, SPSS Inc., and Chicago, IL, USA). The normality was assessed by using the Kolmogorov-Smirnov test. The obtained data are presented as mean ± SD and number (percentage). The relationship between the study variables was investigated using t test, Mann-Whitney U test, Chi-square test, Fisher’s exact test, multivariate linear regression, and Wilcoxon Sum-Rank tests, and p < 0.05 was considered significant.

3. Results
The 2 groups were matched according to their demographic characteristics as shown in table I. The average age of the participants was 34.54 ± 7.3 yr. More than half of the participants were married (75%), had postgraduate education and bachelor's degree (55.5%), and were housewives (62%). Table I shows that a significant difference was observed between the 2 groups in the distribution of varying levels of the participants’ menstrual status (p < 0.001).
In addition, in table II, menstrual duration in the 1st or 4th month showed no significant difference between the patient and healthy groups and between the 2 times (p > 0.05).
No significant difference was observed in the menstrual cycle length in the 1st and 4th months in both groups (p > 0.05), and changes in the cycle length were not significant in the patient group between the 2 times. The mean score of PBLAC is not statistically significant between the patient and healthy groups in the 4th month. The mean level of AMH (ng/ml) in the healthy group was significantly higher than in the patient group in the 1st and 4th months (p < 0.001). Also, a significant difference was observed in the mean AMH level of the patient group in the 1st and 4th months (p = 0.02) and the mean level of AMH in the 1st month was higher than in the 4th month; however, the healthy group’s mean AMH level shows no significant difference in the 1st and 4th months (p = 0.34).
The mean level of TSH (Ulu/ml) in the healthy and patient groups for the 1st month, showed a statistically significant difference (p < 0.001). Also, a significant difference was observed in the mean TSH level of the healthy participants in the 1st month (p < 0.001). The results of the TSH level comparison in the 4th month were not significant between the patient and healthy groups (p = 0.13) the healthy group’s mean TSH level showed no significant difference in the 1st and 4th months (p = 0.08). The mean TPO level (IU/ml) in the patient group in the 1st month was significantly higher than in the healthy group.
Multiple regression models showed that after removing the effect of confounding variables, statistically significant differences were observed between the 2 groups in menstrual length (p = 0.02) and AMH (p = 0.002). However, no statistically significant difference was observed in menstrual duration, TSH, TPO, or prolactin (Table III).






4. Discussion
The current study aimed to assess the menstrual disorder and the AMH, TSH, TPO, and prolactin levels in female patients with COVID-19. No significant difference was observed in the 1st and 4th months regarding menstrual disorders, TPO, and prolactin levels in the patient group. The mean level of AMH in the healthy group was higher than in the patient group at both times. A relationship was observed between TSH and COVID-19 in the 1st month, but no significant relationship was found in the 4th month in this regard.
The results showed that no significant differences were observed between the changes in menstrual cycle duration and length in the 1st and 4th months in the 2 study groups. This finding is consistent with that of Edelman et al. (20), who reported the association between COVID-19 vaccination and a small change in cycle length but not in menses length. On the contrary, Kezhen et al. (21) reported menstrual volume decrease or cycle prolongation in one-fifth of the patients. Menstrual changes can be due to temporary changes in sex hormone levels and suppression of ovarian function, which quickly resume after recovery. There was also an association between the severity of COVID-19 and menstrual irregularities (22). Another study's results showed that the cause of menstrual disorders is negative psychological emotions and that COVID-19 does not aggravate these disorders (23).
A comparison of AMH levels in the healthy and patient groups revealed that the patients had lower AMH levels than the healthy group; this finding is inconsistent with the results of Ding's co-authors (24). Moreover, Yegin co-authors (25) found that the mean level of AMH was significantly lower in the COVID-19 group with severe anxiety than in the group with moderate anxiety. Unlikely, Kezhen et al. (21) reported no connection between COVID-19 and AMH level. Ovarian damages such as decreased ovarian reserve and hormonal disorders in the genital tract are involved in reducing AMH levels. BSG and CTSL are both expressed at high levels in cumulus cells, which is the entry point for SARS-CoV-2. As a result, the mature ovum may be at risk of infection and COVID-19 virus transmission. Also, the aldosterone angiotensin renin system (ACE2-mediated) is involved in reproductive processes such as folliculogenesis, steroidogenesis, ovum maturation, and ovulation. Aldosterone angiotensin renin is suppressed by COVID-19, which can cause various disorders, including endothelial dysfunction, inflammation, damage to the reproductive system, and ultimately, reduced levels of AMH (24). It has also been shown that stress and anxiety play a role in lowering AMH levels (25).
Furthermore, the findings of this study demonstrated that the patients' TSH and TPO levels were higher than those of non-patients in the first month; however, no significant differences were observed in TSH and TPO levels between the 2 groups in the 4th month. Study (26) reported that TPO levels increase after COVID-19 disease. 
In studies (27, 28) it was found that COVID-19 causes thyroid disorders and changes in thyroid hormone levels that improve over time. Also, a study reported that patients' TSH levels depended on the symptoms such that high TSH levels and hypothyroid symptoms were observed in patients with olfactory decline following the COVID-19 disease (28). Mechanisms that may cause these changes include the direct effect of the virus on the pituitary gland and the indirect effect of the virus in which various systemic changes like the activation of various pro-inflammatory cytokines due to virus infection or its treatment can lead to hormonal changes in the pituitary axis of the endocrine glands.
Another study showed the widespread use of antiplatelet agents, anticoagulants, and corticosteroids in multisystem involvement in COVID-19 infection and endothelial dysfunction, inflammation, vascular and thrombotic events (26). For example, acetylsalicylic acid, by altering plasma protein binding, increases the free hormone fraction, alters the conversion of free thyroxine (fT4) to free tri-iodothyronine (fT3), and finally temporarily suppresses TSH. This eventually leads to a decrease in thyroid hormone production.
In addition, treatment with dexamethasone causes a decrease in endogenous TSH and active fT3 by blocking the conversion processes of plasma protein and deiodinase activity by suppressing the pituitary axis (29). Other studies have shown that heparin increases fT4 and fT3 levels and slightly decreases TSH levels by displacing thyroid hormones from their binding proteins (30, 31).
In the present study, no significant relationship was observed between COVID-19 and prolactin levels in the 1st and 4th months. Unlike the study by Ding et al. who observed that prolactin levels increased in COVID-19 patients (24). Another study found that acute stress increased prolactin levels (32). The difference in the findings can be because stress and anxiety levels in the COVID-19 pandemic vary from person to person and from community to community. As a result, prolactin levels in the COVID-19 pandemic vary in different populations, too.
Our study limitations were: a) low sample size due to the high cost of tests, and b) the hormone levels were determined regardless of the stage of the menstrual cycle just shortly after exposure to SARS-CoV-2. Given that psychological factors are considered an important factor in these disorders, it is suggested that further studies be conducted with larger sample sizes and between different groups in different communities. Also, prolactin level changes require a longer time and inflammatory process, which is recommended to be investigated in studies with a longer period.

5. Conclusion
Based on the present research findings, the general prevalence of menstrual and hormonal disorders, especially AMH and TSH levels were associated with COVID-19. It was further revealed that COVID-19 creates a heavy financial burden for the individual and also a great social burden for the country. By adopting appropriate strategies, preventive measures can be taken to reduce the complications of these disorders. Hence, there is a need for further research and taking as well as practical preventive measures so that these disorders do not lead to serious complications in these women in the future.

Data Availability
The data sets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Author Contributions
Sh. Jahanian Sadatmahalleh and Z. Haghipour contributed to the conception and design of the study; Sh. Jahanian Sadatmahalleh, Z. Haghipour, and F. Razavinia did the literature search; Sh. Jahanian Sadatmahalleh, Z. Haghipour, and M. Nasiri performed the statistical analysis; and Sh. Jahanian Sadatmahalleh, Z. Haghipour, F. Razavinia, and M. Nasiri wrote the first draft of the manuscript. All authors contributed to the manuscript revision, and all read and approved the submitted version.

Acknowledgments
This study was not financially supported. We appreciate all participants’ collaboration, and we would like to thank Mr. Ebrahim Parvin for editing and proofreading the final version of the manuscript. The authors did not use artificial intelligence in this study.

Conflict of Interest
The authors declare that there is no conflict of interest.

 
Type of Study: Original Article | Subject: Reproductive Endocrinology

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