Why the study?
Holter monitoring evaluates heart rate variability but is relatively complex, warranting a simplified diagnostic index to predict HRV decline and evaluate its prognostic value in newly diagnosed NSCLC patients.
Can a diagnostic index based on RHR, serum sodium, and IL-6 predict HRV decline and prognosis in newly diagnosed NSCLC patients?
Can a diagnostic index based on RHR, serum sodium, and IL-6 predict HRV decline and prognosis in newly diagnosed NSCLC patients?
Answers are grounded in this paper and cite their sources.
A simplified diagnostic index using RHR, serum sodium, and IL-6 can predict HRV decline and provide prognostic value in newly diagnosed NSCLC patients.
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. 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.
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Zhang et al. (2024) studied this question.
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