ABSTRACT
Objective:To explore the values of ultrasound, pathology combined with inflammatory indicators in predicting high nodal burden (HNB) in patients with early breast cancer and to construct a nomogram to provide reference for individualized diagnosis and treatment.Methods:The ultrasonographic, pathological features and preoperative inflammatory indicators of 378 female patients diagnosed with early breast cancer confirmed by pathology in the South Hospital of the Sixth People′s Hospital Affiliated to Shanghai Jiaotong University from January 2014 to July 2022 were retrospectively analyzed. They were randomly divided into training set ( n=302) and test set ( n=76) in a ratio of 8∶2, and the baseline data of the two groups were compared. The optimal cutoff values of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) were obtained by ROC curve. In the training set, with axillary high lymph node load (≥3 metastatic lymph nodes) as the dependent variable, independent influencing factors of HNB were identified by univariate and multivariate Logistic regression analyses, and the nomogram was established. The test set data were used to verify the model. The discrimination, calibration and clinical applicability of the model were assessed by the area under the ROC curve (AUC), C-index, the calibration curve, Brier score and the decision curve analysis, respectively. Results:There were no significant differences in all variables between the training set and the test set (all P>0.05). ROC curve analysis results showed that AUCs of NLR, PLR and LMR were 0.578, 0.547 and 0.516, respectively, and the optimal cut-off values were 2.184, 150 and 3.042, respectively. Univariate Logistic regression analysis showed that age, pathological type, histological grade, Ki-67, lymphovascular invasion, NLR, PLR, ultrasonic characteristics (maximum diameter of primary tumor, shape, long/short diameter of lymph node, cortical thickness, cortical and medullary boundary, lymph node hilum, lymph node blood flow pattern) were correlated with HNB of early breast cancer (all P<0.05). Multivariate Logistic regression analysis showed that ultrasonic characteristics (maximum diameter of primary tumor >2 cm, effacement of lymph node hilum, non-lymphatic portal blood flow), lymphovascular invasion, Ki-67>14% and NLR>2.184 were independent risk factors for HNB in early breast cancer ( OR=7.258, 8.784, 6.120, 8.031, 3.394 and 3.767, respectively; all P<0.05) and were used to construct the nomogram model. The AUC of the training set was 0.914 (95% CI=0.878-0.949), C-index was 0.914; The AUC of the test set was 0.871 (95% CI=0.769-0.973), C-index was 0.871, indicating good discrimination. Calibration curve and Brier score were 0.090, indicating high calibration degree of the model. The clinical decision curve indicated good clinical benefit. Conclusions:The nomogram based on ultrasonic characteristics (maximum diameter of primary tumor, lymph node hilum, lymph node blood flow pattern), lymphovascular invasion, Ki-67 and NLR can effectively predict the risk of HNB in patients with early breast cancer, and provide a reference for precision diagnosis and treatment to avoid excessive or insufficient treatment.
ABSTRACT
Objective:To investigate the relationship between prolonged PR interval and carotid atherosclerosis(CAS)in middle-aged and elderly patients with type 2 diabetes mellitus(T2DM).Methods:A total of 537 middle-aged and elderly inpatients with T2DM in the Southern Branch of the Sixth People′s Hospital of Shanghai Jiaotong University from January 2019 to January 2021 were selected as the research objects. Color Doppler ultrasound was used to detect bilateral carotid artery intima-media thickness(CIMT). The subjects were divided into carotid atherosclerosis group(CAS group, n=352)and non-carotid atherosclerosis group(NCAS group, n=185). The difference in the PR interval of ECG between the two groups was compared. Pearson or Spearman rank correlation analysis was used for evaluating the correlation of PR interval and CAS lesions with various clinical index. The relationship between PR interval and CAS lesions was adopted by multivariate logistic regression analysis. Results:The average PR interval of middle-aged and elderly patients with T2DM was(164.57±23.02)ms. The average PR interval in CAS group was significantly higher than that in NCAS group [(169.76±24.28) vs (154.70±16.42)ms, P<0.01]. The results of multifactorial logistic regression analysis showed that age, low density lipoprotein-cholesterol, serum osteocalcin, and PR interval were independent factors influencing the development of CAS lesions in middle-aged and elderly patients with T2DM( OR=1.079, 1.936, 0.879, 1.039, respectively, P<0.05 or P<0.01)where each 1 ms increase in PR interval was associated with a 3.9% increase in the risk of CAS in middle-aged and elderly patients with T2DM( OR=1.039, 95% CI 1.006-1.073, P=0.020). Multivariate logistic regression analysis showed that middle-aged and elderly type 2 diabetic patients with PR interval≥158 ms were 4.072 times more likely to have CAS lesions than those with PR interval<158 ms( OR=4.072, 95% CI 1.417-11.702, P<0.01). Conclusion:The PR interval of electrocardiogram is correlated with CAS lesions in middle-aged and elderly patients with T2DM. Middle-aged and elderly type 2 diabetic patients with significantly prolonged PR interval should be reminded to screen for CAS lesions early.