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1.
BMC Cardiovasc Disord ; 24(1): 437, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39174904

ABSTRACT

BACKGROUND: Atrial Fibrillation (AF) is known to be associated with a negative emotional state. Patient-reported outcomes (PROs) are important tools for evaluating the endpoints of AF management. This study aims to examine the correlation between personality types and PROs in patients with AF. METHODS: All included subjects were newly diagnosed with AF fewer than one month, and their personality types were assessed using the Eysenck Personality Questionnaire (EPQ). Quality of life (QoL) was measured using the Atrial Fibrillation Effect on Quality of Life (AFEQT) questionnaire. Anxiety and depression were assessed using the General Anxiety Scale (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9), respectively. We constructed stepwise linear regression analyses for factors related to the QoL and emotional state in patients with AF. RESULTS: A total of 531 AF patients completed the survey and were categorized into four groups based on their personality types. Of these patients (mean age: 67.12 ± 10.93 years, 50.28% male), 357 (67.23%) had paroxysmal AF, and 16.95% (n = 90) had a sanguine personality. Compared to patients with other personality types, those with a sanguine personality had the highest average AFEQT scores (P < 0.001) and the lowest scores of GAD-7 and PHQ-9 scales (P < 0.05). Furthermore, multiple linear regression analyses suggested that sanguine personality was also independently associated with better QoL and emotional states (P < 0.05). CONCLUSION: There is a significant association between the personality types and PROs in AF patients.


Subject(s)
Anxiety , Atrial Fibrillation , Depression , Emotions , Patient Reported Outcome Measures , Personality , Quality of Life , Humans , Atrial Fibrillation/diagnosis , Atrial Fibrillation/psychology , Atrial Fibrillation/physiopathology , Atrial Fibrillation/therapy , Male , Female , Aged , Middle Aged , Depression/diagnosis , Depression/psychology , Depression/epidemiology , Anxiety/diagnosis , Anxiety/psychology , Anxiety/epidemiology , Cross-Sectional Studies , Mental Health
2.
J Geriatr Cardiol ; 21(2): 200-210, 2024 Feb 28.
Article in English | MEDLINE | ID: mdl-38544499

ABSTRACT

BACKGROUND: Triglyceride-glucose (TyG) index values are a new surrogate marker for insulin resistance. This study aimed to explore the relationship between cumulative TyG index values and atrial fibrillation (AF) recurrence after radiofrequency catheter ablation (RFCA). METHODS: A total of 576 patients with AF who underwent RFCA at the Second Affiliated Hospital of Xi'an Jiaotong University were included in this study. The participants were grouped based on cumulative TyG index values tertiles within 3 months after ablation. Cox regression and restricted cubic spline analyses were used to determine the relationship between cumulative TyG index values and AF recurrence. The predictive value of all risk factors was assessed by receiver operating curve analysis. RESULTS: There were 375 patients completed the study (age: 63.23 ± 10.73 years, 64.27% male). The risk of AF recurrence increased with increasing cumulative TyG index values tertiles. After adjusting for potential confounders, patients in the medium cumulative TyG index group [hazard ratio (HR) = 4.949, 95% CI: 1.778-13.778, P = 0.002] and the high cumulative TyG index group (HR = 8.716, 95% CI: 3.371-22.536, P < 0.001) had a higher risk of AF recurrence than those in the low cumulative TyG index group. The restricted cubic spline regression model also showed an increased risk of AF recurrence with increasing cumulative TyG index values. When considering cumulative TyG index values, left atrial diameter, and lactate dehydrogenase levels as a comprehensive factor, the model could effectively predict AF recurrence after RFCA [area under the curve (AUC) = 0.847, 95% CI: 0.797-0.897, P < 0.001]. CONCLUSIONS: Cumulative TyG index values were a risk factor for AF recurrence after RFCA. Monitoring longitudinal TyG index values may assist with optimized for risk stratification and outcome prediction for AF recurrence.

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