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ORIGINAL ARTICLE |
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Year : 2022 | Volume
: 13
| Issue : 1 | Page : 61 |
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The cutoff of gonadotropins for close evaluation of cardiometabolic risk factors in turner syndrome
Shahin Koohmanaee1, Behrang Motamed2, Sharareh Ghorbandoust1, Hamidreza Badeli1, Afagh Hassanzadeh Rad1, Setila Dalili1, Zohre Darabipour1
1 Department of Pediatrics, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran 2 Department of Internal Medicine, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
Date of Submission | 05-Jun-2020 |
Date of Acceptance | 28-Sep-2021 |
Date of Web Publication | 08-Apr-2022 |
Correspondence Address: Setila Dalili Department of Pediatrics, Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijpvm.IJPVM_321_20
Background: Turner syndrome is a common genetic disorder in females. It is a disorder characterized by variable number of clinical features, so it needs a multidisciplinary approach for care. Therefore, we aimed to define the cutoff of gonadotropins for close evaluation of cardiometabolic risk factors in Turner syndrome. Methods: This is a case-control study on 31 patients with Turner syndrome and 31 healthy individuals. Clinical examination including blood pressure measurement and systems evaluation was performed. Laboratory testing, which included 12-h fasting, assessed lipid profile, glucose, and serum gonadotropin. Results: Turner syndrome had a higher BMI, systolic, and diastolic blood pressure than the normal group (P < 0.001) Patients with Turner syndrome had significantly higher total cholesterol, low-density lipoprotein, triglyceride, and TG-to-high-density lipoprotein ratio compared to the healthy individuals (P < 0.05). With increasing LH and FSH, BMI values, systolic blood pressure, and total cholesterol increased significantly (P < 0.001). Serum TG levels in Turner syndrome were only positively correlated with LH and not correlated with FSH. The cutoff point of LH and FSH for triglyceride in upper 75 percentile were 31 (sensitivity = 38.1%, specificity = 80%) and 48 (sensitivity = 61.9%, specificity = 70%), respectively. Conclusions: Based on dyslipidemia and lower level of ejection fraction, considering cardiometabolic risk factors in lower age groups in Turner syndrome can be recommended.
Keywords: Child, gonadotropins, Turner syndrome
How to cite this article: Koohmanaee S, Motamed B, Ghorbandoust S, Badeli H, Rad AH, Dalili S, Darabipour Z. The cutoff of gonadotropins for close evaluation of cardiometabolic risk factors in turner syndrome. Int J Prev Med 2022;13:61 |
How to cite this URL: Koohmanaee S, Motamed B, Ghorbandoust S, Badeli H, Rad AH, Dalili S, Darabipour Z. The cutoff of gonadotropins for close evaluation of cardiometabolic risk factors in turner syndrome. Int J Prev Med [serial online] 2022 [cited 2023 Jan 31];13:61. Available from: https://www.ijpvmjournal.net/text.asp?2022/13/1/61/342757 |
Introduction | |  |
Turner syndrome (TS) is a common genetic disorder in females. It occurs 1 in 2500 live-born females.[1] Multiple defects such as dysmorphic stigmata, short stature, sexual infantilism, and renal, cardiac, skeletal, endocrine, and metabolic abnormalities are involved in TS through all stages of their lives.[2] It is caused by complete or partial loss of one X chromosome, often in mosaic karyotypes.[3]
It is assumed that TS may increase the occurrence of cardiometabolic morbidities and mortalities compared to the general population which may be due to its multifactorial characteristics such as lifestyle, epigenetics, genetics, hypogonadism, and medications[4] Girls with TS in comparison with other girls are at a greater risk of decreased β-cell dysfunction and cardiovascular diseases.[2] Moreover, increased systolic and diastolic blood pressures were seen significantly in late adolescence and early adulthood in TS.[5] A cluster of risk factors such as insulin resistance and dyslipidemia which may lead to the development of type 2 diabetes mellitus and cardiovascular diseases are probably the most common metabolic abnormalities found in adult patients with TS.[4],[6] According to cardiometabolic complications of TS, if this complication is predicted based on gonadotropin, clinicians may be more alert and can prevent this complication with controlling BMI and blood pressure. TS is a disorder characterized by various clinical features, so it needs a multidisciplinary approach for care. Therefore, we aimed to define the cutoff of gonadotropins for close evaluation of cardiometabolic risk factors in TS.
Methods | |  |
This is a case-control study on 31 patients with TS based on karyotype. They were on regular follow-up at 17 Shahrivar Children Hospital (Guilan University of Medical Science, Iran). Thirty-one healthy children with comparable age and sex distribution were enrolled as controls. All participants with blood pressure treatment, history of aortic coarctation, renal or cardiac diseases, and diabetes mellitus were excluded.
For all eligible children (patients and controls), demographic characteristics were recorded. Clinical examination including blood pressure measurement and systems evaluation was performed. By automatic oscillometry, blood pressure was measured on the right upper arm, after 3–5 min short rest in a seated position by the American Heart Association method.[7] Laboratory testing which included 12-h fasting assessed lipid profile, glucose, and serum gonadotropin. Lipid profile was performed by the endpoint method (enzymatic method) and included serum triglyceride (TG), total serum cholesterol, high-density lipoprotein-cholesterol (HDL), and low-density lipoprotein-cholesterol (LDL). Very low-density lipoprotein-cholesterol was estimated using the calculation of TG/5. Abdominal sonography was performed and heart echocardiography was done by Samsung ultrasound EKO 7 device for all patients.
Ethical considerations
The study protocol was approved by the ethics committee of Guilan University of medical sciences (number: IR.GUMS.REC.1399.061 date: 2020-05-06) and written informed consent was taken from parents or participants.
Statistical analysis
Data were analyzed using SPSS 18.0 for windows (SPSS Inc., Chicago, IL, USA). Continuous variables were expressed as mean ± SD. Categorical variables were expressed as number (percent). Continuous variables were checked using the Shapiro–Wilk test for normality. To compare the normally distributed variables, an independent Student's t-test was used. While to compare non-normally distributed variables, the Mann–Whitney U test was used between two groups. Categorical variables were compared by using the Chi-square test (ρ2). To assess the relationship between normally distributed and non-normally distributed variables, Pearson's correlation coefficient and Spearman's rank correlation were used, respectively. To define the diagnostic profile of serum luteinizing hormone (LH) and follicle stimulating hormone (FSH) in identifying abnormal cholesterol and TG among patients with TS, the ROC curve was designated.
All tests were two-sided, and P < 0.05 was considered statistically significant.
Results | |  |
Thirty-one patients with TS and 31 healthy individuals were included in the study. There was no significant difference between groups regarding age and sex. TS had a higher BMI, systolic, and diastolic blood pressure than the normal group (P < 0.001) [Table 1].
Patients with TS had significantly higher total cholesterol, LDL, HDL, TG, and TG-to-HDL ratio compared to the healthy individuals. Serum gonadotropins were significantly higher in TS (P < 0.001). Ejection fraction (EF) of Turner patients was also significantly lower than the control group (P < 0.001).
Of the Turner population studied in this study, 22 patients had hormone replacement therapy (HRT), while 9 patients were not treated with HRT. The mean age of the Turner patients who had HRT was significantly higher than controls (P < 0.001). Also, BMI, systolic, and diastolic blood pressures were significantly higher in treated than untreated patients (P < 0.001).
Total cholesterol (P = 0.02) and TGs (P = 0.023) were significantly higher in HRT-treated Turner patients than in the untreated Turner group. However, there was no significant difference between groups regarding LDL and HDL (P > 0.05). LH (P < 0.001) and FSH (P = 0.02) were also higher in HRT-treated Turners than in untreated Turners [Figure 1]. | Figure 1: The Comparison of lipid profiles in HRT-treated and untreated patients with TS
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There was no significant difference between the HRT-treated and untreated Turners in terms of EF (P > 0.05). In this study, investigators examined the correlation between quantitative variables with serum gonadotropin levels in women with TS. Based on this study, BMI, systolic blood pressure, and total cholesterol had a significant positive correlation with both LH and FSH values. With increasing LH and FSH, BMI values, systolic blood pressure, and total cholesterol also increased significantly (P < 0.001). Serum TG levels in TS were only positively correlated with LH and not correlated with FSH [Table 2]. | Table 2: Correlation between quantitative variables with serum gonadotropins (LH and FSH) in women with TS
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The area under the curve (AUC) of LH and FSH for cholesterol in upper 75 percentile was 0.991 and 0.954, respectively. The cutoff point of LH and FSH for cholesterol in upper 75 percentile were 37.5 (sensitivity = 38.1%, specificity = 80%) and 96.5 (sensitivity = 100%, specificity = 92.6%), respectively [Figure 2].
The AUC of LH and FSH for TG in the upper 75 percentile was 0.764 and 0.726, respectively. The cutoff point of LH and FSH for TG in upper 75 percentile were 31 (sensitivity = 38.1%, specificity = 80%) and 48 (sensitivity = 61.9%, specificity = 70%), respectively [Figure 3].
Discussion | |  |
In this study, cardiometabolic risk factors were compared in patients with TS with those in the normal population. Also, the effect of serum gonadotropins on biochemical factors affecting the cardiometabolic health of cholesterol and TG was assessed to indicate a cutoff for it as a novelty of this study. Previous investigations assessed primarily the actions of estrogens as the female sex hormone on insulin resistance because it has been shown that estradiol has direct actions for increasing skeletal muscle and adipocytes glucose uptake plus anti-inflammatory and antioxidant effects. It indirectly develops insulin receptor function and may have cardiometabolic effects.[8],[9] Therefore, in these patients, high levels of LH and FSH were noted as a result of a low level of estrogen.
Results showed that BMI and systolic and diastolic blood pressure were higher in TS versus the control group. These factors can be noted as independent risk factors for cardiovascular events and cardiometabolic defects. Consistent with current results, O'Gorman et al., Hanew et al., and Álvarez-Nava et al. mentioned higher BMI in patients with TS than the normal population.[10],[11],[12] However, studies have shown that in addition to the short stature, other causes, such as dyslipidemia and some other metabolic mechanisms, may influence this increase in BMI. On the other hand, it has been suggested that increasing BMI increases the chance of cardiovascular events. Therefore, by increased BMI in patients with TS, cardiovascular events are also expected to have a higher chance.[13] Generally, higher incidence of hypertension especially essential hypertension was noted in TS versus normal population. Causes including increased activity of the renin–angiotensin–aldosterone system and sympathetic system hyperactivity are factors that may increase the occurrence of hypertension in patients with TS.[14]
In this study, patients with TS had significantly higher total cholesterol, LDL, TG, TG-to-HDL ratio, and lower EF than the control group. Although these disturbances in lipid profiles are not a new result, previous studies not only mentioned a higher level of these factors, they even assessed metabolic syndrome risk factors as well.[10],[12] In previous investigations, the high prevalence of hypercholesterolemia (27%)[6],[12] or lower HDL[4] was also noted. Further studies also mentioned increased carotid intima-media thickness in women with TS and noted atherosclerosis was associated with increased LDL and decreased HDL levels.[15] It seems that based on the current study which was conducted on patients with the mean age of 13 years and a higher level of dyslipidemia and lower level of EF, considering cardiometabolic risk factors in younger age groups in TS can be recommended.
Assessing the relationship between serum gonadotropins and serum levels of metabolic factors affecting cardiovascular health, results showed that both gonadotropins (LH and FSH) were positively correlated with BMI, systolic blood pressure, and total cholesterol. However, TG had a positive correlation only with LH. Therefore, it seems that in the case of higher FSH and LH in younger patients, clinicians should consider early cardiometabolic risk factors in this age group. As a novel assessment, the cutoff for gonadotropins was reported in this study. The cutoff point of LH and FSH for cholesterol in upper 75 percentile were 37.5 (sensitivity = 38.1%, specificity = 80%) and 96.5 (sensitivity = 100%, specificity = 92.6%), respectively. The AUC of LH and FSH for TG in the upper 75 percentile were 0.764 and 0.726, respectively. The cutoff point of LH and FSH for TG in upper 75 percentile were 31 (sensitivity = 38.1%, specificity = 80%) and 48 (sensitivity = 61.9%, specificity = 70%), respectively. Therefore, it seems that clinicians should pay enough attention to patients with these cutoffs of gonadotropins.
In subgroup analysis, Turner patients treated with HRT had higher total cholesterol and TG than the untreated group, but there was no difference between groups regarding other lipid profiles including LDL and HDL. Furthermore, those treated with HRT had significantly higher BMI, systolic, and diastolic blood pressure than the other group. A study by al-Sheikh et al. reported that there was no significant difference between the two groups in those treated with HRT and those not treated in terms of BMI, serum lipids, systolic, and diastolic blood pressure. This study stated that HRT has no effect on the lipid profile of patients.[16] In a study published by Irzyniec et al. (2014),[17] it was also reported that there was no significant difference in serum lipid levels between the two groups of patients treated and untreated with HRT.[15] Comparing current and previous studies showed that the higher level of cholesterol and TG in this study may occur because HRT is used at the beginning of treatment and this study was conducted on younger participants, which would be decreased gradually and have no effect on lipid profiles including LDL and HDL finally.
In general, this study noted a novel cutoff point of gonadotropins for cardiometabolic risk factors. This study had some limitations. A low sample size which was absolutely shown in subgroup analysis may induce no significant power to show the differences between groups. On the other hand, the sample size of untreated patients with HRT was not enough to determine the independent effect of TS on cardiometabolic factors. Moreover, the lower age of patients with TS can have a significant impact on these factors. Therefore, further case-control or cohort studies with a larger sample size are recommended. Based on dyslipidemia and lower level of EF in these patients, considering cardiometabolic risk factors in lower age groups in TS can be recommended.
Declaration of patient consent
The authors certify that they have obtained all appropriate patient consent forms. In the form, the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2], [Figure 3], [Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 1], [Table 2]
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