Participants
We investigated children with orthostatic symptoms referred to Osaka Medical and Pharmaceutical University Hospital for further examination during 2019–2021. According to the JSPP clinical guideline criteria for POTS, 52 children (23 males and 29 females), aged 10–15 years (mean age, 13.0 ± 1.0 years and 13.4 ± 1.2 years, respectively), met the criteria. All patients underwent general physical examination, including neurological examination, chest radiography, 12-lead electrocardiogram (ECG), and blood tests including hematologic analysis, serum electrolytes, and serum thyroxine. No abnormalities, including anemia or febrile illness, were found in any of the patients.
Study design
All participants provided completed the State-Trait Anxiety Scale for Children (STAIC) questionnaire. They then completed a standing test and were accordingly classified into the two groups of POTS. Autonomic function was assessed by frequency analysis (MemCalc method) based on heart rate, blood pressure changes, heart rate, and blood pressure variability during the orthostatic test. This study is registered as a clinical trial at Osaka Medical and Pharmaceutical University (Clinical Trials ID: 2662-2). Data were collected in the period November 2019 until November 2021.
Informed consent was obtained from all participants and parents. The study was approved by the Ethics Committee of Osaka Medical and Pharmaceutical University.
Autonomic assessment
All patients performed the active standing test as previously reported.9 Briefly, patients were quietly seated for 15 min in a waiting room before the actual measurement started. The test was performed in the morning in a soundproof room at temperatures between 23°C and 25°C. A Finometer cuff (model 1; FMS, Amsterdam, Netherlands) was placed on the middle phalanx of the third finger of the right hand. To ensure optimal Finometer blood pressure (BP) measurement, we used appropriate cuff sizes (S or M), according to the manufacturer’s instructions.
Before the test, patients were instructed to stand up quickly and independently, without using their right hand, such as not to affect the Finometer recording. After 10 min in the supine position, the patients were asked to stand up actively by themselves and remain standing for 7 min. All patients stood within 3–4 s. During the active standing test, patients were monitored using continuous non-invasive finger arterial pressure measurements (Finometer).
Finger arterial BP and ECG signals were digitally stored on a personal computer system (Dynabook; Toshiba, Japan) during the entire test period. The default signal analysis program (Beat Scope; FMS, Amsterdam, Netherlands) provided data on sequential R-R intervals of the ECG (ms), beat-to-beat systolic and diastolic blood pressure (SBP and DBP; mmHg), and cardiac output (CO). Sequential RR intervals, SBP, and DBP were obtained in the supine position (4 min) and late period of standing (4–7 min after standing).
We evaluated the variability of the RR interval and BP of high frequency (HF; 0.15–0.4 Hz) and low frequency (LF; 0.04–0.15 Hz) components as an index of cardiovascular autonomic function. Generally, it is accepted that the HF component of RR interval variability (RR-HF) is mediated by cardiac parasympathetic tone generated by respiration, whereas the LF component is mediated by both cardiac sympathetic and parasympathetic tones. The ratio of the LF to HF components of RR interval variability (RR-LF/HF) is considered an index of cardiac sympathetic tone.10–13 Contrastingly, the HF component of BP variability has been regarded as a mechanical consequence of respiration10 and the LF component of BP variability has been reported to parallel sympathetic vasomotor activity.10,14 Regarding the influence of stroke volume, DBP variability can be evaluated more accurately using sympathetic vasomotor activity than SBP variability. Therefore, we used the LF component of DBP variability (DBP-LF) to evaluate sympathetic vasomotor activity. Spectral analysis using the maximum entropy method 15 (MemCalc for Windows version 1.2, Suwa Trust, Tokyo, Japan) was applied to the time-series data for each variable.
The Finometer includes the Modelflow method to derive continuous CO from finger pressure.16
We calculated the cardiac index (CI) in each subject by the following equation:
CI (L/min/m2) = CO (L/min)/ body surface area (m2)
Body surface area (m2) = (bodyweight (kg)× height (cm)/3600)0.5) 17
Questionnaire
The State-Trait Anxiety Inventory for Children (STAIC) is a self-administered questionnaire (Spielberger et al, 1973) 18 which was developed based on the STAI (State-Trait Anxiety Inventory) for adults. The STAIC was standardized in Japanese by Soga (1983). It can measure both state (temporary anxiety in the moment) and trait (anxiety as a personality trait, that is, a relatively stable individual's tendency to react) anxiety. We administered the STAIC test to the participants after the active standing test. In this study, we used data on trait anxiety to investigate trends in autonomic function in children with POTS and anxiety-prone personality traits.
Data analysis
We divided the patients into two groups: a standing-induced tachycardia (SI) group, defined as an increase in heart rate during standing of ≥ 35 beats/min, and a supine tachycardia (Su) group, defined as an increase in heart rate during standing of < 35 beats/min with a standing heart rate of ≥ 115 beats/min.
We statistically evaluated the differences in the SI and Su groups using autonomic function and trait anxiety data.
Statistical analysis was performed using JMP pro14 (SAS Institute Inc., NC, USA). Data are presented as mean ± SE unless otherwise noted. Comparisons were made between the two POTS groups using the Student’s t-test. Statistical significance was set at p < 0.05.