Heart Rate Variability is an Independent Predictor of Lymph Node Metastasis in Patients with Cervical Cancer
Jingfeng Wang,1,2,* Jian Liu,3,* Longfei Gao,3 Guangqiao Li,1,2 Yilin Sun,3 Bo Shi1,2 1School of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, 233030, People’s Republic of China; 2Anhui Key Laboratory of Computational Medicine and Intelligent Health, Bengbu Medical College,...
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2021
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| Acceso en línea: | https://doaj.org/article/f980c79cce0b4059bed42950a67873af |
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| Sumario: | Jingfeng Wang,1,2,* Jian Liu,3,* Longfei Gao,3 Guangqiao Li,1,2 Yilin Sun,3 Bo Shi1,2 1School of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, 233030, People’s Republic of China; 2Anhui Key Laboratory of Computational Medicine and Intelligent Health, Bengbu Medical College, Bengbu, Anhui, 233030, People’s Republic of China; 3Department of Gynecologic Oncology, First Affiliated Hospital, Bengbu Medical College, Bengbu, Anhui, 233004, People’s Republic of China*These authors contributed equally to this workCorrespondence: Bo ShiSchool of Medical Imaging, Bengbu Medical College, Bengbu, Anhui, People’s Republic of ChinaTel +86-18955203003Email shibo@bbmc.edu.cnPurpose: Heart rate variability (HRV) has been reported as a useful biomarker for prognostic factors in a variety of cancers. The purpose of this study was to explore the predictive value of preoperative HRV for lymph node metastasis (LNM) in patients with cervical cancer (CC).Patients and Methods: A total of 77 patients with CC were included, including 18 LNM and 59 non-LNM patients. A five-minute resting electrocardiogram (ECG) was collected before surgery for the analysis of HRV time domain, frequency domain and Poincaré plot parameters (ie, SDNN, RMSSD, LF, HF, LF/HF, SD1, SD2 and SD2/SD1). Student’s t-tests and logistic regression were performed to determine the relationship between HRV and LNM.Results: The LNM group had significantly lower SDNN, LF, and SD2 than the non-LNM group (all p < 0.05; all Cohen’s d > 0.5). Binary logistic regression analysis indicated that SDNN, LF and SD2 were still significantly associated with LNM. Specifically, for each 1 ms decrease in SDNN and SD2 and each 1 logarithmic unit decrease in ln (LF), the odds of LNM increased by 12%, 9%, and 86%, respectively (all p < 0.05).Conclusion: These findings suggest an association between HRV and CC LNM, and HRV could be a potential noninvasive biomarker for the prediction of LNM in CC patients.Keywords: cervical cancer, heart rate variability, lymph node metastasis, autonomic nervous system |
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