Objective To explore the value of nomogram of hepatocellular carcinoma(HCC)ultrasonic feature regression model for predicting microvascular invasion(MVI).Methods A total of 400 HCC patients(432 lesions)confirmed by pathology were retrospectively collected and divided into training set and validation set at the ratio of 7∶3.There were 280 cases(302 lesions)in training set,including 160 cases(172 lesions)of MVI(+)and 120 cases(130 lesions)of MVI(—),while 120 cases(130 lesions)in validation set,including 70 cases(76 lesions)of MVI(+)and 50 cases(54 lesions)of MVI(-).Univariate and multivariate logistic regression analyses were performed to analyze ultrasonic manifestations of HCC.The independent predictors of MVI of HCC were screened out,and a regression model and nomogram were established,and the efficacy,calibration and clinical value of the nomogram for predicting MVI of HCC were evaluated.Results The maximum diameter of HCC(OR=2.564),margin regular or not(OR=0.412),internal echo uniform or not(OR=1.875),the presence or absence of capsule(OR=0.305)and Adler blood flow grade(OR=3.502)were all independent predictors of MVI of HCC(all P＜0.05).The sensitivity,specificity,accuracy and the area under the curve(AUC)of the nomogram for predicting MVI of HCC in training set was 84.88％,81.05％,83.11％and 0.950,respectively,while in validation set was 78.95％,77.78％,78.46％and 0.910,respectively.Calibration curve and decision curve analysis indicated that this nomogram had good calibration and high clinical net benefit in both training and validation sets.Conclusion Nomogram of ultrasound feature regression model could be used to effectively predict MVI of HCC.

Objective:To evaluate the relationship between preoperative concentrations of soluble triggering receptor expressed on myeloid cells 2 (sTREM2) in cerebrospinal fluid (CSF) and postoperative delirium (POD) in patients undergoing total knee/hip arthroplasty.Methods:Six hundred and twenty-five patients of either sex, aged 50-90 yr, weighing 50-80 kg, with American Society of Anesthesiologists Physical Status classification Ⅰor Ⅱ, with the preoperative Mini-Mental State Examination score > 23, who underwent elective knee/hip arthroplasty under combined spinal-epidural anesthesia at Qingdao Municipal Hospital from January 2022 to December 2023, were selected. The CSF specimens 2 ml were withdrawn from the subarachnoid space after successful subarachnoid puncture for determination of the concentrations of sTREM2, Amyloid beta protein (Aβ 42), total tau protein (T-tau), and phosphorylated tau protein (p-tau) by enzyme-linked immunosorbent assay. POD was assessed using the Confusion Assessment Method. Patients were divided into POD group and non-POD group based on whether POD occurred. Logistic regression was used to identify the risk and protective factors for POD. The performance of CSF sTREM2 concentration combined with CSF biomarker levels in predicting POD was evaluated using the receiver operating characteristic (ROC) curve and clinical decision curve. The mediating effect of CSF biomarker concentrations in the relationship between CSF sTREM2 concentration and POD was analyzed. Results:Five hundred and nineteen patients were finally included, with 112 patients in POD group and 407 patients in non-POD group. The results of logistic regression analysis showed that the elevated preoperative sTREM2 concentration in CSF was the risk factor for POD after adjusting for multiple confounding factors such as age, sex, body mass index, years of education, Mini-Mental State Examination score, history of smoking, history of drinking, hypertension, diabetes mellitus and coronary heart disease. The area under the ROC curve of the preoperative sTREM2 concentration in CSF in predicting POD was 0.716, and the area under the ROC curve of the preoperative sTREM2 concentration in CSF combined with CSF biomarkers in predicting POD was 0.796. This model had high clinical application value and predictive efficacy. The relationship between the preoperative sTREM2 concentration in CSF and POD was partially mediated by the CSF p-tau concentration (proportion of mediated effect 24.67%) and t-tau protein concentration (proportion of mediated effect 17.33%).Conclusions:The elevated preoperative concentration of sTREM2 in CSF is a risk factor for POD in patients undergoing total knee/hip arthroplasty, and concentrations of t-tau and p-tau in CSF play a mediating role in the relationship between the preoperative CSF sTREM2 concentration and POD.

Objective:To evaluate the relationship between preoperative concentrations of soluble triggering receptor expressed on myeloid cells 2 (sTREM2) in cerebrospinal fluid (CSF) and postoperative delirium (POD) in patients undergoing total knee/hip arthroplasty.Methods:Six hundred and twenty-five patients of either sex, aged 50-90 yr, weighing 50-80 kg, with American Society of Anesthesiologists Physical Status classification Ⅰor Ⅱ, with the preoperative Mini-Mental State Examination score > 23, who underwent elective knee/hip arthroplasty under combined spinal-epidural anesthesia at Qingdao Municipal Hospital from January 2022 to December 2023, were selected. The CSF specimens 2 ml were withdrawn from the subarachnoid space after successful subarachnoid puncture for determination of the concentrations of sTREM2, Amyloid beta protein (Aβ 42), total tau protein (T-tau), and phosphorylated tau protein (p-tau) by enzyme-linked immunosorbent assay. POD was assessed using the Confusion Assessment Method. Patients were divided into POD group and non-POD group based on whether POD occurred. Logistic regression was used to identify the risk and protective factors for POD. The performance of CSF sTREM2 concentration combined with CSF biomarker levels in predicting POD was evaluated using the receiver operating characteristic (ROC) curve and clinical decision curve. The mediating effect of CSF biomarker concentrations in the relationship between CSF sTREM2 concentration and POD was analyzed. Results:Five hundred and nineteen patients were finally included, with 112 patients in POD group and 407 patients in non-POD group. The results of logistic regression analysis showed that the elevated preoperative sTREM2 concentration in CSF was the risk factor for POD after adjusting for multiple confounding factors such as age, sex, body mass index, years of education, Mini-Mental State Examination score, history of smoking, history of drinking, hypertension, diabetes mellitus and coronary heart disease. The area under the ROC curve of the preoperative sTREM2 concentration in CSF in predicting POD was 0.716, and the area under the ROC curve of the preoperative sTREM2 concentration in CSF combined with CSF biomarkers in predicting POD was 0.796. This model had high clinical application value and predictive efficacy. The relationship between the preoperative sTREM2 concentration in CSF and POD was partially mediated by the CSF p-tau concentration (proportion of mediated effect 24.67%) and t-tau protein concentration (proportion of mediated effect 17.33%).Conclusions:The elevated preoperative concentration of sTREM2 in CSF is a risk factor for POD in patients undergoing total knee/hip arthroplasty, and concentrations of t-tau and p-tau in CSF play a mediating role in the relationship between the preoperative CSF sTREM2 concentration and POD.

Objective To explore the value of nomogram of hepatocellular carcinoma(HCC)ultrasonic feature regression model for predicting microvascular invasion(MVI).Methods A total of 400 HCC patients(432 lesions)confirmed by pathology were retrospectively collected and divided into training set and validation set at the ratio of 7∶3.There were 280 cases(302 lesions)in training set,including 160 cases(172 lesions)of MVI(+)and 120 cases(130 lesions)of MVI(—),while 120 cases(130 lesions)in validation set,including 70 cases(76 lesions)of MVI(+)and 50 cases(54 lesions)of MVI(-).Univariate and multivariate logistic regression analyses were performed to analyze ultrasonic manifestations of HCC.The independent predictors of MVI of HCC were screened out,and a regression model and nomogram were established,and the efficacy,calibration and clinical value of the nomogram for predicting MVI of HCC were evaluated.Results The maximum diameter of HCC(OR=2.564),margin regular or not(OR=0.412),internal echo uniform or not(OR=1.875),the presence or absence of capsule(OR=0.305)and Adler blood flow grade(OR=3.502)were all independent predictors of MVI of HCC(all P＜0.05).The sensitivity,specificity,accuracy and the area under the curve(AUC)of the nomogram for predicting MVI of HCC in training set was 84.88％,81.05％,83.11％and 0.950,respectively,while in validation set was 78.95％,77.78％,78.46％and 0.910,respectively.Calibration curve and decision curve analysis indicated that this nomogram had good calibration and high clinical net benefit in both training and validation sets.Conclusion Nomogram of ultrasound feature regression model could be used to effectively predict MVI of HCC.