Prediction of post-operative atrial fibrillation in patients after cardiac surgery using heart rate variability
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F23%3A43925766" target="_blank" >RIV/00064173:_____/23:43925766 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/23:00373009 RIV/00216208:11120/23:43925766
Result on the web
<a href="https://doi.org/10.1186/s12872-023-03309-5" target="_blank" >https://doi.org/10.1186/s12872-023-03309-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12872-023-03309-5" target="_blank" >10.1186/s12872-023-03309-5</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of post-operative atrial fibrillation in patients after cardiac surgery using heart rate variability
Original language description
PURPOSE: Post-operative atrial fibrillation (PoAF) occurs in ~ 30% of patients after cardiac surgery. The etiology of PoAF is complex, but a disbalance in autonomic systems plays an important role. The goal of this study was to assess whether pre-operative heart rate variability analysis can predict the risk of PoAF. METHODS: Patients without a history of AF with an indication for cardiac surgery were included. Two-hour ECG recordings one day before surgery was used for the HRV analysis. Univariate and multivariate logistic regression, including all HRV parameters, their combination, and clinical variables, were calculated to find the best predictive model for post-operative AF. RESULTS: One hundred and thirty-seven patients (33 women) were enrolled in the study. PoAF occurred in 48 patients (35%, AF group); the remaining 89 patients were in the NoAF group. AF patients were significantly older (69.1 +- 8.6 vs. 63.4 +- 10.5 yrs., p = 0.002), and had higher CHA(2)DS(2)-VASc score (3 +- 1.4 vs. 2.5 +- 1.3, p = 0.01). In the multivariate regression model, parameters independently associated with higher risk of AF were pNN50, TINN, absolute power VLF, LF and HF, total power, SD2, and the Porta index. A combination of clinical variables with HRV parameters in the ROC analysis achieved an AUC of 0.86, a sensitivity of 0.95, and a specificity of 0.57 and was more effective in PoAF prediction than a combination of clinical variables alone. CONCLUSION: A combination of several HRV parameters is helpful in predicting the risk of PoAF. Attenuation of heart rate variability increases the risk for PoAF.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30201 - Cardiac and Cardiovascular systems
Result continuities
Project
<a href="/en/project/LX22NPO5104" target="_blank" >LX22NPO5104: National Institute for Research of Metabolic and Cardiovascular Diseases</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BMC Cardiovascular Disorders
ISSN
1471-2261
e-ISSN
1471-2261
Volume of the periodical
23
Issue of the periodical within the volume
June
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
290
UT code for WoS article
001002342300004
EID of the result in the Scopus database
2-s2.0-85160999837