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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.
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Background The current oil production determines oil workers’ occupational noise exposure. Without effective protection, noise will affect various aspects of worker’s body functions, including acting on the adrenal cortex system and resulting in renal function damage. Objective To evaluate the associations of noise exposure and its cumulative exposure level with renal function impairment of oil workers. Methods Oil workers from a collective medical examination in a hospital were selected as the study subjects. In accordance with the national standard Measurement of Physical Agents in the Workplace Part 8: Noise (GBZ/T 189.8—2007), noise exposure was measured three times at the oil workers' work site, and their average value was calculated to obtain the cumulative noise exposure (CNE). A questionnaire survey was conducted to collect general information such as socio-demographic characteristics, family history, lifestyles, and occupational history. All blood biochemical indicators were measured in the fasting state. Renal function impairment was judged based on the glomerular filtration rate. The relationship between CNE and renal function was analyzed using receiver operating characteristic curve (ROC) for workers with noise exposure. Results A total of 2 917 subjects were included in the study and their prevalence of renal function impairment was 14.2%. The univariate analysis results suggested statistically significant differences in the prevalence of renal function impairment among the oil workers grouped by having hypertension or not, gender, age, marital status, marital status, smoking, and alcohol consumption (P＜0.05); the prevalence of renal impairment was significantly higher in those with abnormal values of uric acid, total cholesterol, triglycerides, high-density lipoprotein, and fasting glucose than in those with normal values (P＜0.05); the oil workers with noise exposure [n=1565, 53.7%, equivalent sound level ≥80 dB(A)] showed a higher prevalence of renal function impairment than those without (P＜0.05). The results of multiple logistic regression analysis showed that being female (OR=2.811, 95%CI: 1.960-4.030), age at 31 years and above (OR31-40=3.502, 95%CI: 1.402-8.751; OR41-50=4.255, 95%CI: 1.759-10.291; OR≥51=7.179, 95%CI: 2.864-17.996), showing abnormal uric acid (OR=5.932, 95%CI: 4.486-7.843), having hypertension (OR=1.593, 95%CI: 1.230-2.063), alcohol consumption (OR=2.648, 95%CI: 1.346-5.212), and smoking (OR=1.816, 95%CI: 1.133-2.911) had higher risks of developing renal function impairment; besides, those exposed to noise had 1.351 times (95%CI: 1.073-1.702) higher risks of developing renal function impairment than non-exposed individuals. Noise-exposed oil workers in the renal impairment group had higher noise exposure intensity and CNE compared to the noise-exposed oil workers in the normal renal function group (P＜0.05), and the workers had an increased risk of renal function impairment when the CNE was >95.85 dB(A)·year versus CNE ≤ 95.85 dB(A)·year (OR=2.583, 95%CI: 1.956-3.411). Conclusion Exposure to noise, higher noise exposure intensity, and higher level of CNE may be associated with developing renal function impairment in oil workers. Oil workers with CNE above 95.85 dB(A)·year are at an increased risk of renal impairment.