A diagnostic index for predicting heart rate variability decline and prognostic value in newly diagnosed non-small cell lung cancer patients
- PMID: 39697224
- PMCID: PMC11652349
- DOI: 10.3389/fonc.2024.1463805
A diagnostic index for predicting heart rate variability decline and prognostic value in newly diagnosed non-small cell lung cancer patients
Erratum in
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Corrigendum: A diagnostic index for predicting heart rate variability decline and prognostic value in newly diagnosed non-small cell lung cancer patients.Front Oncol. 2025 Feb 12;15:1566535. doi: 10.3389/fonc.2025.1566535. eCollection 2025. Front Oncol. 2025. PMID: 40012554 Free PMC article.
Abstract
Background: Heart rate variability (HRV) is an important marker of autonomic nervous system function and cardiovascular health. Holter monitoring is a crucial method for evaluating HRV, but the procedure and result analysis are relatively complex. This study aims to develop a simplified diagnostic index for predicting HRV decline in newly diagnosed non-small cell lung cancer (NSCLC) patients and evaluate its prognostic value.
Methods: This retrospective cross-sectional study included 131 newly diagnosed NSCLC patients. Baseline characteristics were compared between normal HRV group and declined HRV group. Univariate and multivariate logistic regression analyses identified significant predictors of HRV decline. A diagnostic index was developed based on resting heart rate (RHR), serum sodium, and interleukin-6 (IL-6) and externally validated. Kaplan-Meier survival analysis assessed the prognostic value of the index.
Results: Patients with declined HRV had higher median RHR (84 b.p.m. vs. 70 b.p.m., p < 0.001), lower serum sodium (136.3 mmol/L vs. 138.7 mmol/L, p < 0.001), lower serum albumin (39 g/L vs. 41 g/L, p = 0.031), higher lactate dehydrogenase (LDH) (202 U/L vs. 182 U/L, p = 0.010), and higher IL-6 (11.42 pg/ml vs. 5.67 pg/ml, p < 0.001). Multivariate analysis identified RHR (OR = 3.143, p = 0.034), serum sodium (OR = 6.806, p < 0.001), and IL-6 (OR = 3.203, p = 0.033) as independent predictors of HRV decline. The diagnostic index, with an area under the curve (AUC) of 0.849, effectively predicted HRV decline. ROC analysis of the external validation data demonstrated an AUC of 0.788. Survival analysis showed that patients with a diagnostic index > 2 had significantly worse overall survival (log-rank p < 0.001).
Conclusions: The study identified key clinical parameters that predict HRV decline in newly diagnosed NSCLC patients. The developed diagnostic index, based on RHR, serum sodium, and IL-6, effectively stratifies patients by HRV status and has significant prognostic value, aiding in early identification and management of high-risk patients.
Keywords: diagnostic index; heart rate variability; interleukin-6; non-small cell lung cancer; overall survival; resting heart rate; serum sodium.
Copyright © 2024 Zhang, Liu, Han, Wang, Geng, Ding and Zhang.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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