The value of Lorenz scatter plot in analysis of heart rate variability in the patients with breast cancer
Objective To investigate the changes of heart rate variability in patients with different stages of breast cancer and the value of Lorenz scatter plot in the heart rate variability analysis.Methods A total of 240 breast cancer patients who were first diagnosed in our hospital from 2020 to 2023 were included and classified into three groups according the TMN staging as 0～Ⅰ,Ⅱ～Ⅲ,and Ⅳ.The three groups were retrospectively analyzed for changes in the time-domain indexes,frequency-domain indexes and the Lorenz scatter plot indexes;the correlations between scatter plot and SDNN were compared;the ROC curve was used to assess the value of Lorenz scatter plot in the analyse of HRV in breast cancer patients.Results The differences of the above indexes between 0～Ⅰand Ⅱ～Ⅲ had not statiscial significance(P＞0.05),but the differences of the above indexes between 0～Ⅰ and stageⅣ or between Ⅱ～Ⅲ and Ⅳ all had statistically significant.The correlation coefficients between the Lorenz scatter plot indexes as L、W、A and SDNN were 0.762,0.521,0.678(P＜0.05);that had statistically significant.The area under the ROC curve of the Lorenz scatter plot indexes as L,W,and A were 0.789,0.731,0.759 in the above patients when their HRV decreased mildly;and were 0.886,0.801,0.866 when their HRV decreased moderately.The optimal cut-off values of L,W,and A were 6.95cm,1.125cm,6.63cm2 for predicting the HRV decreased mildly;and were 5.95cm,1.175cm,4.69 cm2 for predicting the HRV decreased moderately.Conclusions HRV decreased significantly in stage Ⅳ breast cancer patients compared with stage 0～Ⅰ and stage Ⅱ～Ⅲ;Lorenz scatter plot indexes had significant correlation with SDNN;the Lorenz scatterplot index as L had greater predictive value than W and A in both mild and moderate decreases of HRV with breast cancer patients;and its optimal predictive boundaries were respectively 6.95cm and 5.95cm.
Heart rate variabilityBreast cancer Lorenz scatter plot
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