Quality of Life and Psychological Wellbeing in Patients with Vasovagal Syncope
Bibliographic record
Abstract
Background: Vasovagal syncope (VVS) is the most common form of syncope. Previous findings have indicated that VVS patients experience a poor health-related quality of life (HRQoL) and considerable psychological distress. However, there is limited data comparing both outcomes between VVS patients and closely-matched healthy individuals, as well as identifying specific factors that affect changes in QoL over time. Aims: We aimed to identify the differences in HRQoL and psychological profile between VVS patients and a contemporary group of non-fainting healthy individuals. We also aimed to examine the change in HRQoL over time in VVS patients, as well as explore whether change differed with treatment or fainting during study follow up. Methods: The RAND 36-Item Health Survey (RAND36) or Short Form Health Survey (SF36), global health visual analogue scale (VAS), Hospital Anxiety and Depression Scale, Anxiety Sensitivity Index, and Positive and Negative Affect Schedule – Expanded Form were completed by healthy individuals, and by VVS patients at baseline, 6 months, and 12 months. Results: At baseline, VVS patients reported poorer HRQoL on all scales of the RAND36 and the VAS compared to healthy participants. VVS patients had significantly greater anxiety, depression, and anxiety sensitivity, as well as more negative affect and less positive affect. Over a 1-year period, patients reported improvement in all SF36 dimensions except for bodily pain. Post hoc analyses indicated that differences first occurred between baseline and 6 months for all but general health. Additionally, recent faints experienced during follow up or study drug randomization did not alter the improvements. Conclusions: The results from this thesis further support a negative relationship between VVS and a patient’s quality of life and psychological profile. Patients may benefit from a more comprehensive assessment and treatment of HRQoL, anxiety, and depression during presentation and subsequent follow up visits. Moreover, while HRQoL improves in VVS patients over time, future initiatives could identify alternative factors that may contribute to these changes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".