Impact of Comorbidities on the Prognosis of Pediatric Postural Tachycardia Syndrome.

OBJECTIVE: To investigate the influence of comorbidities on the prognosis of pediatric postural tachycardia syndrome (POTS).
METHODS: In this retrospective cohort study, 275 children with POTS admitted to the Department of Pediatrics at Peking University First Hospital were recruited from 2016 to 2019 and followed up. The participants were divided into simple POTS (S-POTS, n=156 cases) and POTS with comorbidities (Co-POTS, n=119 cases) groups according to whether they were complicated with comorbidities. A Cox regression analysis was used to identify the prognostic risk factors for children with POTS, while Kaplan-Meier curves were applied to compare the cumulative symptom remission rate (CSRR) between the two groups. The rehospitalization of the children between the two groups was also compared to explore the influence of comorbidities.
RESULTS: Twenty-one participants (7.6%) were lost during a median follow-up of 24 months. The Cox regression model showed that comorbidities and body mass index (BMI) were associated with the CSRR of the children with POTS. The CSRR of pediatric POTS alone was 1.748 times higher than that of patients with comorbidities, and the CSRR was decreased by 5.1% for each 1 kg/m2 increase in BMI. The most common comorbidity in children with POTS in this study was allergic disorders, followed by the psychological diseases. The patients in the Co-POTS group had a lower CSRR than those in the S-POTS group (log rank P=0.0001). In addition, compared with those of the S-POTS group, the total number of rehospitalizations was high (P=0.001), and the total hospital stays were long in the Co-POTS group (P<0.001).
CONCLUSION: Complicating with comorbidities, pediatric patients with POTS had lower CSRR and more rehospitalizations than those without comorbidities. More attention should be given to comorbidities when managing pediatric POTS.

Introduction

Postural tachycardia syndrome (POTS) is a group of disorders featuring symptoms of orthostatic intolerance (OI) (including dizziness, headache, nausea, sweating, chest distress, palpitations, blurred vision, etc.) and significantly increased heart rates when standing. It is a common cause of OI1 in children, and the symptoms can seriously affect the patients’ quality of life.2

Roma et al conducted a questionnaire survey on the prognosis of children with POTS and found that symptoms in 86% of the participants were improved or relieved or became intermittent an average of 5 years after the initial treatment.3 Tao et al followed up a group of children with POTS for 6 years and showed a cumulative asymptomatic rate of 85.6%.4 These above reports suggest that the prognosis of pediatric POTS is generally benign. At present, the reported comorbidities in children with POTS mainly include allergic disorders, migraine, psychological disorders, hyperventilation syndrome, chronic fatigue syndrome, hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorder (hEDS/HSD), gastrointestinal dysfunction, and fibromyalgia.5–13 A study from the United States (US) reported that the spectrum of comorbidities in children with POTS mainly included sleeping disorders, gastrointestinal dysfunction, and headache.14 The above comorbidities may be related to the mechanisms underlying POTS, such as autonomic nervous dysfunction15 and vascular dysfunction,16 which may theoretically affect the clinical manifestations and prognosis of children with POTS. Investigating the impact of comorbidities on the prognosis of POTS in children would significantly deepen the understanding of the outcome of POTS and help to implement a more effective strategy in patient management. However, the influence of comorbidities on the outcome of pediatric POTS has not been identified. Therefore, this study was performed to explore the influence of comorbidities on the prognosis of children with POTS in our center.

Methods

Study Subjects

Our retrospective cohort study enrolled hospitalized children with a diagnosis of POTS in the Department of Pediatrics in Peking University First Hospital from January 2016 to December 2019. The patients’ clinical information, including age of onset, sex, age at admission, body mass index (BMI), course of the disease before admission, frequency of symptoms of OI, supine heart rate, maximum upright heart rate, supine blood pressure, therapeutic methods, and comorbidities, was collected according to the data from the Beijing Kaihua Medical Recording Management Digital System. This study was approved by the Ethics Committee of Peking University First Hospital (2021–095) and was conducted in accordance with the Declaration of Helsinki. Since it was a retrospective study, verbal consent was obtained from the parents of the subjects over the telephone recorded by a professional investigator before the follow-up. The verbal consent protocol was approved by the Ethics Committee of Peking University First Hospital.

The inclusion criteria were as follows: (1) patients aged 5–18 years old; (2) hospitalized patients with a diagnosis of POTS in the Department of Pediatrics in Peking University First Hospital from 2016 to 2019; and (3) patients diagnosed with or without comorbidities, including functional gastrointestinal disorders (including periodic vomiting syndrome and functional abdominal pain), pediatric psychological disorders (including psychosomatic illness, anxiety disorder, mood disorders, and sleeping disorders), hyperventilation syndrome, chronic fatigue syndrome, allergic disorders (including allergic rhinitis, food allergy, adverse reactions to drugs, childhood asthma, atopic eczema, and urticaria), migraine, hEDS/HSD, and fibromyalgia.5–13 The following patients were excluded: (1) those with incomplete basic clinical data; (2) children with a suspected diagnosis instead of a confirmed diagnosis; (3) children complicated with epilepsy, cardiogenic syncope, or hypertension; and (4) those with course of the disease less than 1 month.

In this study, the included participants were divided into a simple POTS (S-POTS) group and a POTS with comorbidity (Co-POTS) group according to whether they were complicated with comorbidities.

Diagnostic Criteria of Pediatric POTS

The diagnosis of pediatric POTS followed the corresponding guidelines for children.17 That is, the child suffers from typical symptoms of OI, and during the standing test or head-up tilt test (HUTT), the upright heart rate increases by ≥40 beats/min within 10 minutes or the peak upright heart rate meets the following criteria (≥130 times/min for children aged 6–12 years old; ≥125 times/min for children aged 13–18 years old). At the same time, conditions such as cardiovascular disease, metabolic disease, or neurological disease were also excluded.

Symptom Score (SS) for Children with POTS

SS of OI was used to assess the severity of pediatric POTS symptoms.18 Symptoms of OI mainly included dizziness, nausea, palpitations, headache, chest tightness, syncope, hand tremors, blurred vision, sweating, and inattention. For each symptom mentioned above, 0 score indicates that no such symptom occurred; 1 score indicates that the frequency of the symptom is once per month; 2 scores indicate a frequency of 2–4 times per month; 3 scores indicate a frequency of 2–7 times per week; and 4 scores indicate a frequency of at least once a day. The total symptom score of one patient is the sum of scores calculated from all the symptoms.

Diagnostic Criteria of Comorbidities

The data of the above comorbidities including allergic diseases,19 migraine,20 functional gastrointestinal disorders,21 chronic fatigue syndrome,22 joint hypermobility syndrome,23 psychological disorders,24 fibromyalgia,25 hyperventilation syndrome,26 and Ehlers-Danlos syndromes (EDS)27 referred to the listed diagnosis at the participants’ discharge. The diagnosis of comorbidities was made by corresponding specialists through clinical consultations and according to acknowledged diagnostic criteria19–27 during the participants’ hospitalization.

Follow-Up

The follow-up of each patient began with the first discharge from the hospital. The patients were followed up either by outpatient visits or by telephone calls carried out by specialized investigators. During the follow-up, the investigators evaluated the symptom control of the patients. The last time point of follow-up was April 2021. The follow-up data were recorded and organized in the follow-up database by a designated investigator and were verified by another researcher. In this study, symptom remission was recognized as the end point event, which was defined as an asymptomatic status lasting for at least 3 consecutive months and no recurrence until the last follow-up.

Statistical Analysis

Statistical processing of the data was conducted in SPSS 25.0 (IBM, Armonk, New York) and GraphPad 8.0 software (GraphPad Software, San Diego). The normality was examined by the single-sample Kolmogorov–Smirnov method. The measurement data that displayed a normal distribution are presented as the mean ± standard deviation, and t-test was used to test for differences; otherwise, the data are presented as the median (P25, P75) and were compared by the Wilcoxon rank sum test. The enumeration data are described by rate (%) or numbers, and the χ2 test was used for difference analysis. Results with P<0.05 were perceived as remarkable differences. Univariate analysis of a Cox regression risk model was conducted using the Enter method, and the parameters with P<0.1 were introduced into the multivariate analysis. Spearman correlation analysis was used to assess whether there was a correlation between the two variables. Finally, uncorrelated variables were put into the multivariate analysis using the conditional forward method. Kaplan–Meier (K-M) curves were used to compare the cumulative symptom remission rate (CSRR) of patients between the S-POTS and Co-POTS groups, with symptom remission being the end point during the follow-up. The end point event was defined as “1”. K-M curves were compared using the Log rank test, and the results with P<0.05 were perceived as remarkable differences. The median follow-up duration of pediatric POTS was calculated using the reverse K-M method.

Results

Patients Population

A total of 364 pediatric patients were diagnosed with POTS between January 2016 and December 2019 in our center, and 89 of them were excluded according to the inclusion and exclusion criteria. The remaining 275 patients were enrolled and followed up, of whom 21 (7.6%) were lost because the patients did not return to the outpatient department or refused telephone follow-up. The flow chart of the screening process is shown in Figure 1. The median age of the 275 patients was 12.0 (10.0, 14.0) years old, including 117 males and 158 females. The median and maximum follow-up durations were 24 months and 59 months, respectively. The 275 patients were separated into the S-POTS group consisting of 156 patients (62 males and 94 females) with a median age of 12.0 (10.0, 13.7) years and the Co-POTS group consisting of 119 patients (55 males and 64 females) with a median age of 12.0 (10.0, 14.0) years. No significant difference was found in the sex ratio, age at admission, age at onset, BMI, course of the disease before admission, SS at admission, supine heart rate, supine blood pressure, maximum upright heart rate, or therapeutic approaches between the two groups, as shown in Table 1.

Figure 1

Flow-chart of patient inclusion. Of 364 patients with POTS, 89 were excluded according to the exclusion criteria, and the remaining 275 patients were followed up. Finally, 254 patients completed follow-up.

Table 1

Clinical Characteristics of Patients in the S-POTS Group and Co-POTS Group

Items	S-POTS Group	Co-POTS Group	Z/t/χ2	P value
Number	156	119
Sex (male/female)	62/94	55/64	1.158	0.282
Age at admission, years old	12.0 (10.0, 13.7)	12.0 (10.0, 14.0)	−0.672	0.502
Age of onset, years old	11.0 (8.0, 12.0)	11.0 (7.0, 13.0)	−0.451	0.652
BMI, kg/m2	18.3 (16.2, 20.6)	17.9 (16.2, 20.0)	−0.238	0.812
Course of disease before admission, month	12.0 (3.0, 24.0)	12.0 (4.0, 36.0)	−0.588	0.556
Symptom score at admission	5.0 (3.0, 8.0)	6.0 (4.0, 8.0)	−1.749	0.080
Supine heart rate, bpm	76.4 ± 9.8	75.1 ± 9.1	1.121	0.263
Supine systolic pressure, mmHg	107.0 (99.0, 115.0)	106.0 (99.0, 112.0)	−0.903	0.367
Supine diastolic pressure, mmHg	61.0 (56.0, 66.0)	62.0 (57.0, 67.0)	−0.615	0.539
*Maximum upright heart rate, bpm	122.3 ± 11.6	121.8 ± 13.1	0.354	0.724
#Treatment (medication/nonmedication)	78/78	56/63	0.234	0.629

Notes: Values are mean ± standard deviation, median (P25, P75), or number; #Nonmedication therapy included health education, upright training, or oral rehydration salts; Medication therapy included midodrine or metoprolol on the basis of nonmedication therapy; *The maximum upright heart rate refers to the peak heart rate within the initial 10 minutes when the patient stands up during the standing test or when the patient is tilted during the HUTT at his or her first hospitalization. Abbreviations: BMI, body mass index; bpm, beat per minute; S-POTS, simple postural tachycardia syndrome; Co-POTS, postural tachycardia syndrome with comorbidity.

Cox Regression Analysis of Prognosis in Children with POTS

In the Cox regression model, sex, age at admission, age at onset, BMI, course of the disease before admission, SS at admission, supine heart rate, supine systolic and diastolic blood pressure, maximum upright heart rate, therapeutic methods, and comorbidities were taken as independent variables, and the CSRR was taken as the dependent variable. Univariate Cox regression analysis indicated that prognostic risk factors for children with POTS were comorbidities [P=0.001, hazard ratio (HR): 1.759, 95% confidence interval (CI): 1.274–2.428] and high baseline BMI (P=0.036, HR: 0.948, 95% CI: 0.902–0.997), as shown in Figure 2A.

Figure 2

Forest plot for the outcomes of univariate and multivariate Cox regression model analysis on risk factors for prognosis in children with POTS. (A) Forest plot presenting the crude hazard ratio for the outcomes of univariate Cox regression model analysis. (B) Forest plot presenting the adjusted hazard ratio for the outcomes of multivariate Cox regression model analysis. Each blue rhombus represents the HR value of the corresponding variable, and the intersecting blue transverse line represents the 95% CI.

The variables with P<0.1 in the univariate Cox regression model (comorbidities and BMI) were introduced into the multivariate Cox regression model, and no correlation was determined between comorbidities and BMI (r=0.014, P=0.812). The results of multivariate Cox regression analysis suggested that comorbidities and high BMI were both independent factors that adversely affected the symptom remission rate of children with POTS. Specifically, the CSRR of pediatric POTS alone was 1.748 times higher than that of the patients with comorbidities (P=0.001, HR: 1.748, 95% CI: 1.266–2.413), and for each 1 kg/m2 increase in baseline BMI of the patients, the CSRR was decreased by 5.1% (P=0.042, HR: 0.949, 95% CI: 0.902–0.998), as shown in Figure 2B.

Spectrum of Comorbidities in Children with POTS

In total, 43.3% (119/275) of children with POTS were complicated with comorbidities, among whom 35.6% (98/275) were diagnosed with 1 comorbidity, 6.9% (19/275) with 2 comorbidities, and 0.8% (2/275) with 3 and 4 comorbidities, as shown in Figure 3A. The comorbidities mainly included allergic disorders, psychological disorders, migraine, hyperventilation syndrome, and chronic fatigue syndrome. The distribution of comorbidities is shown in Figure 3B. Allergic disorders were the most common comorbidities, accounting for 83.2% (99/119), among which allergic rhinitis was the most common. The second most common entity was psychological disorders, accounting for 16.0% of comorbidities (19/119), as shown in Tables 2 and 3.

Figure 3

The spectrum of comorbidities in children with POTS. (A) The proportion of patients complicated or not complicated with comorbidities. (B) The proportion of different comorbidities of patients in the Co-POTS group.

Table 2

The Spectrum of Allergic Disorders in Comorbidities of Pediatric POTS

Items	Number of Participants with Different Comorbidities	Percentage of the Number of Comorbidities (N=119, %)
Allergic disorders	99	83.2%
Allergic rhinitis	24	20.2%
Food allergy	18	15.1%
Adverse reactions to drugs	14	11.8%
Childhood asthma	5	4.2%
Atopic eczema	7	5.9%
Urticaria	3	2.5%
#Multiple allergic disorders	28	23.5%

Notes: #Complicated with more than one allergic disorders, among them, 18 cases complicated with 2 allergic disorders, 8 cases complicated with 3 allergic disorders, and 2 cases complicated with 4 allergic disorders.

Abbreviation: POTS, postural tachycardia syndrome.

Table 3

The Spectrum of Psychological Disorders in Comorbidities of Pediatric POTS

Items	Number of Participants with Different Comorbidities	Percentage of the Number of Comorbidities (N=119, %)
Psychological disorders	19	16.0%
Psychosomatic illness	1	0.8%
Conversion disorder	1	0.8%
Anxiety disorder	1	0.8%
Mood disorders	9	7.6%
Depression	3	2.5%
Unspecified mood disorders	6	5.0%
Sleeping disorder	1	0.8%
Sleeping disorder and anxiety disorder	3	2.5%
Anxiety disorder and mood disorder	3	2.5%
Psychosomatic illness and mood disorder	1	0.8%

Abbreviation: POTS, postural tachycardia syndrome.

Influence of Comorbidities on the Prognosis of Children with POTS

A total of 156 cases were collected in the S-POTS group, 11 of which were lost to follow-up, and 119 cases were collected in the Co-POTS group, 10 of which were lost to follow-up. As shown in Figure 4, the results of K-M survival analysis suggested that the CSRR of patients in the S-POTS group was statistically higher than that in the Co-POTS group (log rank P=0.0001). The median symptom remission times of the S-POTS group and the Co-POTS group were 9 months and 30 months, respectively.

Figure 4

Influence of comorbidities on prognosis of pediatric POTS. The K-M curves showed the cumulative symptom remission rate in the S-POTS and Co-POTS groups during follow-up. The green curve and red curve represent the cumulative symptom remission rate for the S-POTS group and Co-POTS group, respectively.

Burden of Rehospitalization of Patients in the S-POTS Group and Co-POTS Group

As shown in Table 4, the patients in the Co-POTS group had more total hospitalizations (P=0.001) and longer total hospital stays (P<0.001) than those in the S-POTS group.

Table 4

Evaluation of Rehospitalization Burden in Children with POTS

Items	S-POTS Group	Co-POTS Group	Z	P value
Total number of rehospitalizations (time)	1.0 (1.0, 2.0)	1.0 (1.0, 2.0)	−3.368	0.001
Total hospital stay (day)	8.0 (7.0, 12.0)	10.0 (7.0, 17.0)	−3.593	<0.001

Notes: Values are median (P25, P75) .

Abbreviations: POTS, postural tachycardia syndrome; S-POTS, simple POTS; Co-POTS, POTS with comorbidity.

Discussion

The comorbidities of POTS have attracted increasing attention in recent years, but the influence of comorbidities on the prognosis of children with POTS remains unclear. This single-center retrospective cohort study first revealed that comorbidities can negatively influence the prognosis of children with POTS. In this study, Cox regression model analysis showed that comorbidities and high BMI were independent factors that adversely affected the symptom remission rate of pediatric POTS. Of note, the CSRR of patients in the S-POTS group was 1.748 times that of the Co-POTS group. Comorbidities significantly increase the rehospitalization burden of pediatric patients with POTS.

A previous study reported that the incidence of allergic disorders in children with POTS was 41% in Chinese patients,5 while a cross-sectional survey from over 15 countries found that 20% of children with POTS were complicated with asthma.28 This study reported the spectrum of comorbidities among children with POTS, among which allergic disorders were the main comorbidities, accounting for 36.0% of the total patients, followed by psychological disorders, accounting for 6.9% of the total patients. In addition, migraine, hyperventilation syndrome, and chronic fatigue syndrome were also included as comorbidities.

The mechanisms by which comorbidities are related to the symptom remission rate of pediatric POTS are not completely clear. Chelimsky’s results suggested that the relationship between them needed further studies.29 According to the current points of view, relative central hypovolemia, autonomic nervous dysfunction, and peripheral vascular dysfunction are speculated to be the mechanisms for POTS,30 which may be enhanced by complications with comorbidities.

Allergic disorders were the most common comorbidities in children with POTS in this study, and it is speculated that the mechanisms for the comorbidity of allergic disorders and POTS may be related to excessive vasodilation. One of the classical mechanisms for allergy is type I hypersensitivity, which may result in mast cell degranulation and subsequent release of vasoactive substances, such as leukotrienes, histamines, and prostaglandins.16 Furthermore, mast cell activation disorder (MCAD), a condition in which mast cells increase in number or excessively release inflammatory mediators,31 was considered to be a comorbidity of adult POTS, and some of which might be secondary to allergic disorders.32,33 A previous study on adults reported that patients with POTS were complicated with abnormal mast cell activation and significant increases in methylhistamine, leukotriene, and prostaglandin D2 in their urine.34 These inflammatory vasoactive substances may aggravate the dilation of peripheral blood vessels and increase vasopermeability, which can theoretically facilitate the occurrence of OI.

The second most common comorbidity in this study was psychological disorders. Psychological factors can not only amplify the objective discomfort resulting from OI but also add the diversification and complexity of the clinical manifestation in pediatric POTS. Meanwhile, physical discomfort and frustrations in school and daily life may in turn promote the development of psychological disorders. Consequently, it is reasonable to speculate that psychological disorders and POTS may interact with each other, further aggravating the symptoms of patients and increasing the difficulty in their management.

Migraine and hyperventilation syndrome, which were also common comorbidities of pediatric POTS in our study, are thought to be related to autonomic nervous dysfunction. A previous study suggested that children with migraine may have a genetic susceptibility to autonomic dysfunction,35 while it has been reported that patients with hyperventilation syndrome are prone to sympathetic excitation.36 The imbalance of the autonomic nervous system may play a vital role in the development of POTS. It is believed that, headache, as a common symptom of pediatric POTS, should be carefully investigated. Ojha et al reported that 45.5% of pediatric POTS patients complained of headache.14 The percentage of patients with headache in our study (96/275, 34.9%) was similar to their study. In addition, the proportion of patients with headache in the Co-POTS group was remarkably higher than that in the S-POTS group (54/65 vs 42/114; χ2=10.118; P=0.001). Migraine that is sometimes characterized by recurrent headache, should be paid more attention to.

Sleeping disorders in children with POTS have attracted increasing attention. Like other behavioral problems in children, abnormal sleep is usually defined by parental observations. We reviewed all the medical records of the patients in our study and found that 10.2% (28/275) of the children patients used to suffer from abnormal sleeping quantity or poor sleeping quality according to the history offered by themselves and their parents. The proportion of the patients with self-reported poor sleeping was significantly higher in the Co-POTS group than that in the S-POTS group (18/101 vs 10/146; χ2=5.607; P=0.018). Since the patients with POTS in our cohort did not regularly undergo sleeping studies, the sleeping disorders may be under-diagnosed. The interaction between sleeping disorders and POTS is not clear. Some studies reported that a sleep duration less than 8 hours is a risk factor for pediatric POTS and that sleep promotion therapy is an effective way to treat POTS in children.37,38 Although some clues may be found in a series of endocrine disturbances caused by insufficient sleep,39,40 further investigation is needed to elucidate the mechanism.

One of the possible explanations for the comorbidity with POTS may be immune mechanisms. OI is one of the common clinical manifestations of chronic fatigue syndrome. It can be speculated from previous studies that autonomic nervous dysfunction in patients diagnosed with comorbidities of POTS and chronic fatigue syndrome may be related to autoantibodies against G-protein-coupled receptors and small fiber neuropathy.41–43 However, at present, the exact role of these antibodies is not fully understood.

The co-existence of POTS and hEDS/HSD in adults was reported.44 The findings revealed that 22.7% of pediatric POTS had EDS and 39.0% had hypermobility spectrum disorder (HSD).45 Another study demonstrated that HSD accounted for 36.3% and EDS accounted for 20.0% among the POTS patients aged under 19 years old.46 However, data are not available in Chinese children. Furthermore, the triad of POTS-MCAS-EDS should be paid more attention to.33,34 This syndrome was not reported in this study, and the missed diagnosis may be related to the single center and small number of the cases.

In addition, the CSRR of three comorbidity subgroups (allergic disorders, psychological disease, and others) was also compared by K-M curves, revealing no differences among the three subgroups. However, further studies including more cases are still needed to clarify the influence of each type of comorbidity on the prognosis of pediatric POTS. We also found that 7.6% of the participants in this study had 2 or more comorbidities. However, more cases are still needed to further investigate the impacts of multiple comorbidities on POTS.

In addition to comorbidities, BMI was another factor related to the symptom remission rate of POTS in this study. Specifically, patients with higher BMI were more likely to demonstrate lower CSRR. Some clues in previous studies may help to explain this result. Stewart’s study showed a positive correlation between BMI and blood volume, suggesting that patients with a lower BMI usually have lower blood volume.47 One study published in 2016 showed that the therapeutic efficacy of oral rehydration salt for POTS children with low BMI was usually better.48 Therefore, patients with low BMI are likely to benefit from increased salt and water intake and achieve a higher symptom remission rate.

Exploring the influence of comorbidities on the prognosis of pediatric POTS possesses important value in the understanding and management of pediatric POTS. The results of this study suggested that comorbidities had significant adverse effects on the prognosis of POTS in children. Therefore, we suggest that the comorbidity of pediatric POTS should be comprehensively evaluated during the diagnosis and treatment process, especially for children with recurrent symptoms and poor response to conventional treatment. In addition, for patients with comorbidities, individualized comprehensive therapies should be prescribed to obtain better therapeutic effects of POTS.

There are some limitations in our study. Due to the retrospective design of the study, some comorbidities may have been missed (such as hEDS/HSD) or under-diagnosed (such as migraine and sleeping disorder). And the sample size of this study was not very large. Anyway, based on the above research results, we conclude that comorbidity is an independent risk factor for CSRR in children with POTS, which not only significantly affects the prognosis but also aggravates the rehospitalization burden in children with POTS. Remarkably, more than one-third of pediatric POTS cases are complicated with allergic disorders. The relationship between pediatric POTS and comorbidities needs to be clarified in the future.