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Record W4306255484 · doi:10.1093/eurheartj/ehac544.655

Syncope recurrence and long-term heart rate variability after cardioneuroablation for vasovagal syncope: a systematic review and meta-analysis

2022· review· en· W4306255484 on OpenAlexaff
Bert Vandenberk, Lucy Y. Lei, Brennan Ballantyne, David Vickers, Zhiying Liang, Robert S. Sheldon, Derek S. Chew, Tolga Aksu, Satish R. Raj, Carlos A. Morillo

Bibliographic record

VenueEuropean Heart Journal · 2022
Typereview
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLibin Cardiovascular Institute of Alberta
Fundersnot available
KeywordsMedicineVasovagal syncopeHeart rate variabilityMeta-analysisRandomized controlled trialCardiologyHeart rateInternal medicineSubgroup analysisSyncope (phonology)Blood pressure

Abstract

fetched live from OpenAlex

Abstract Background Cardioneuroablation (CNA) has emerged as a promising therapy in patients with refractory vasovagal syncope (VVS). Well-designed randomized clinical trials (RCT) are lacking. Purpose To provide an estimate of the procedural success rate of CNA, including subgroup analysis by method and target of ablation, as well as serial measurements of autonomic tone after CNA with heart rate variability (HRV). Methods A systematic search of studies was performed in MEDLINE and EMBASE according to the PRISMA guidelines, from inception to 14 February 2022. Observational studies and clinical trials reporting success rates were included. Quality assessment was performed using the CONSORT and STROBE recommendations. The primary outcome was freedom from syncope after CNA. Meta-analysis was performed with a random-effects model. The secondary outcome was serial HRV analysis (heart rate, SDNN, rMSSD and LF/HF ratio) analysed with one-way ANOVA with Bonferroni's correction for multiple testing. Results A total of 465 patients were included across 14 studies (mean age 40±4 years; 54% females). All included studies were of intermediate quality (median 17, IQR 16–18). Procedural approach to CNA was variable: 50 patients (10.8%) by mapping of fractionated electrograms, 73 patients (15.7%) with the spectral method, 210 (45.2%) with high frequency stimulation, 73 (15.7%) with a purely anatomically guided method, and 59 patients (12.6%) with a combination. The target was bi-atrial in 168 patients (36.1%), left atrium only in 259 patients (55.7%), and right atrium only in 38 patients (8.2%). The freedom from syncope was 91.9% (95% CI 88.1–94.6%; I2=6.9%, p=0.376; Figure 1). CNA limited to right atrial ablation was associated with a significantly lower success rate (p<0.0001; 81.5%, 95% CI 51.9–94.7%) versus left atrial ablation only (94.0%, 95% CI 88.6–96.9%) and bi-atrial ablation (92.7%, 95% CI 86.8–96.1%). Subgroup analysis according to the technique used to identify GPs did not show any significant difference in success rate (p=0.206). Ten studies (n=317, 68.2%) reported at least one HRV parameter. Results are presented in Figure 2 with the mean and standard deviations. There were significant increases in heart rate, and significant decrease in SDNN, rMSSD and LF/HF ratios for each follow-up timepoint available (p<0.0001 for all analyses). Recovery of these parameters was observed in 2 studies, but these were not associated with an increased risk in syncope recurrence. Conclusion This meta-analysis suggests a high procedural success rate of CNA in VVS of 92%. CNA induces long-term changes in HRV, however some studies reported recovery of these parameters without an association with syncope recurrence. Therefore, HRV changes may not be an appropriate surrogate endpoint for clinical response. Well-designed double-blind, multi-center sham controlled RCTs are needed to provide evidence for future treatment guidelines. Funding Acknowledgement Type of funding sources: Foundation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.097
GPT teacher head0.350
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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