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INTRODUCTION: The wide variety of symptoms in patients with cardiac arrhythmias can affect daily living activities. The evaluation of symptoms with patient-reported outcome measures (PROMs), with validated instruments, can provide information that contributes to clinical decisions and treatment. In Brazil, however, there is no available scale that evaluates symptoms in different types of arrhythmias. PURPOSE: This study aimed to translate the Arrhythmia-Specific Questionnaire in Tachycardia and Arrhythmia symptom scale (ASTA-symptom scale) and then validate the questionnaire in terms of Brazilian culture. METHOD: The methodological process of cultural adaptation used was based on international literature guidelines consisting of forward translation, synthesis, back translation, review by an expert committee, and pretest. Psychometric analyses were conducted with 140 patients. These included measuring internal consistency (Cronbach's alpha), construct validity with item-total correlations, and convergent construct validity with correlations with the quality of life questionnaire for patients with atrial fibrillation-version 2 (QVFA-v2). Usability and understandability were evaluated through the usability evaluation of instruments. RESULTS: The translation and adaptation processes were performed by obtaining the Brazilian Portuguese version of the original Swedish instrument. This version presented the internal consistency of items, evaluated through Cronbach's α (0.79). Construct validity was demonstrated by item-total correlations for the nine items, all except one reached the level of >0.30 (0.24). Convergent validity showed a high correlation with QVFA-v2 (0.89). As for the evaluation of usability and understanding, after two small suggested changes, no additional alterations were necessary. CONCLUSION: The psychometric properties of the Brazilian version of ASTA-symptom scale evaluated in this study were satisfactory, and the scale was proved to be a valid and reliable tool to assess the symptom burden in patients with different forms of tachyarrhythmia. The ASTA-Br-symptom scale questionnaire can be an important addition to PROMs for patients with arrhythmias and could help healthcare professionals in decision-making.
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BACKGROUND: Hypertension, diabetes and obesity are not isolated findings, but a series of interacting interactive physiologic derangements. Taking into account genetic background and lifestyle behavior, AI (autonomic imbalance) could be a common root for RHTN (resistant hypertension) or RHTN plus type 2 diabetes (T2D) comorbidity development. Moreover, circadian disruption can lead to metabolic and vasomotor impairments such as obesity, insulin resistance and resistant hypertension. In order to better understand the triggered emergence of obesity and T2D comorbidity in resistant hypertension, we investigated the pattern of autonomic activity in the circadian rhythm in RHTN with and without type 2 diabetes (T2D), and its relationship with serum adiponectin concentration. METHODS: Twenty five RHTN patients (15 non-T2D and 10 T2D, 15 males, 10 females; age range 34 to 70 years) were evaluated using the following parameters: BMI (body mass index), biochemical analysis, serum adiponectinemia, echocardiogram and ambulatory electrocardiograph heart rate variability (HRV) in time and frequency domains stratified into three periods: 24 hour, day time and night time. RESULTS: Both groups demonstrated similar characteristics despite of the laboratory analysis concerning T2D like fasting glucose, HbA1c levels and hypertriglyceridemia. Both groups also revealed disruption of the circadian rhythm: inverted sympathetic and parasympathetic tones during day (parasympathetic > sympathetic tone) and night periods (sympathetic > parasympathetic tone). T2D group had increased BMI and serum triglyceride levels (mean 33.7 ± 4.0 vs 26.6 ± 3.7 kg/m² - p = 0.00; 254.8 ± 226.4 vs 108.6 ± 48.7 mg/dL - p = 0.04), lower levels of adiponectin (6729.7 ± 3381.5 vs 10911.5 ± 5554.0 ng/mL - p = 0.04) and greater autonomic imbalance evaluated by HRV parameters in time domain compared to non-T2D RHTN patients. Total patients had HRV correlated positively with serum adiponectin (r = 0.37 [95% CI -0.04 - 1.00] p = 0.03), negatively with HbA1c levels (r = -0.58 [95% CI -1.00 - -0.3] p = 0.00) and also adiponectin correlated negatively with HbA1c levels (r = -0.40 [95% CI -1.00 - -0.07] p = 0.02). CONCLUSION: Type 2 diabetes comorbidity is associated with greater autonomic imbalance, lower adiponectin levels and greater BMI in RHTN patients. Similar circadian disruption was also found in both groups indicating the importance of lifestyle behavior in the genesis of RHTN.