Sick sinus syndrome (SSS) is a refractory arrhythmia disease caused by the pathological changes of sinoatrial node and its adjacent tissues. 2,251 publications related to SSS were retrieved from Web of Science database from 2000 to 2022 and analyzed by using VOS viewer and CiteSpace software. The results showed the United States dominated the field, followed by Japan, Germany, and China. SSS was closely related to risk factors such as atrial fibrillation and aging. Sick sinus syndrome, atrial fibrillation and sinus node dysfunction were the top three keywords that had the strongest correlation with the study. Pacemaker implantation, differentiation and mutation are research hotspots currently. Clinical studies on SSS found that sick sinus syndrome, atrial fibrillation, and pacemakers were the top three keywords that had the largest nodes and the highest frequency. In the field of basic applied research and basic research, atrial fibrillation and pacemaker cells were the focus of research. In conclusion, bibliometric analysis provided valuable information for the prevention, treatment and future research trends of SSS.
Patients with sick sinus syndrome (SSS) experience a decrease in health-related quality of life (HRQoL), but there is currently no scale available to measure their unpleasant symptoms. The Short Form 36 Health Survey (SF-36) is a commonly used scale to assess HRQoL. In this study, we aimed to evaluate the reliability, validity, and sensitivity of SF-36 in patients with SSS. The sample included 199 eligible participants. We estimated the reliability through test-retest reliability, internal consistency, and split-half reliability. To examine the validity of the questionnaire, confirmatory factor analysis, convergent validity, and discriminant validity were conducted. Sensitivity was determined by the differences in age (cutoff 65 years) and New York Heart Association class. The intraclass correlational coefficients scores showed high test-retest reliability (intraclass correlational coefficients > 0.7). The overall Cronbach α was 0.87 (8 scales range: 0.85–0.87), showing good internal consistency reliability. The split-half reliability coefficient of the SF-36 is 0.814, indicating good reliability. Factor analysis showed that SF-36 subscales could be drawn into 6 components that explain 61% of the total variance. Results of model fit indicate comparative fit index = 0.9, incremental fit index = 0.92, Turker–Lewis index = 0.90, approximate root mean square error = 0.07, and normalized root mean square residual = 0.06. Convergent validity and discriminative validity showed adequate results. Comparison of different ages and New York Heart Association class groups showed statistical significance on most SF-36 subscales. We confirmed the SF-36 as a valid instrument for evaluating HRQoL patients with SSS. The reliability, validity, and sensitivity of SF-36 are acceptable for patients with SSS.
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