Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

Objective:To investigate the prognostic value of serum chloride ion concentration in critically ill or clinically stable pa-tients with decompensated cirrhosis.Methods:A retrospective study was conducted among the patients with decompensated cirrhosis who attended the intensive care unit(ICU)and Department of Gastroenterology,The First Hospital of Lanzhou University,from Janu-ary 2017 to January 2022,and the patients were divided into ICU cohort and Gastroenterology cohort.The outcome event for the ICU cohort was in-hospital death.A logistic regression analysis was used to investigate the association between serum chloride levels and ICU mortality rate;the receiver operating characteristic(ROC)curve was plotted and the area under the ROC curve(AUC)was calcu-lated to assess the value of blood chloride level in predicting ICU mortality rate.The patients in the Gastroenterology cohort were fol-lowed up with the outcome event of all-cause mortality rate,and the Cox regression analysis and the Kaplan-Meier analysis were used to investigate the value of blood chloride level in predicting mortality rate.Results:In the ICU cohort,serum chloride ion was signifi-cantly associated with in-hospital mortality in the ICU(odds ratio=0.934,95%CI=0.871-0.993,P=0.035),and blood chlorine had an AUC of 0.687 in predicting in-hospital mortality in the ICU.In the Gastroenterology cohort,serum chloride ion concentration was sig-nificantly associated with mortality rate in the subgroup with a Child-Pugh score of<10(hazard ratio=0.906,95%CI=0.822-0.997,P=0.043),and hypochloremia was associated with a lower survival rate.Conclusion:Hypochloremia is associated with the increase in mortality rate in patients with decompensated cirrhosis.

Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.

Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.

  Objective  To establish a model that can predict the occurrence of acute kidney disease (AKD) in liver cirrhotic patients and evaluate its performance.  Methods  Liver cirrhotic patients who hospitalized in the department of gastroenterology of the First Hospital of Lanzhou University from January 2017 to January 2022 were retrospectively included. They were divided into AKD and non-AKD groups according to whether they were combined with AKD during hospitalization, and were randomized into training and validation sets in a 7∶3 ratio. The clinical data of patients in the two groups were collected, and LASSO regression and multifactorial Logistic regression were used to screen the influencing factors for the occurrence of AKD in patients with liver cirrhosis and to establish a prediction model. The model was then evaluated by using the receiver operating characteristic curve, the calibration curve and the clinical decision curve.  Results  A total of 796 cases of liver cirrhotic patients who met the inclusion and exclusion criteria were enrolled. Among them, 103 cases were in the AKD group and 693 cases were in the non-AKD group; 561 cases were in the training set and 235 cases were in the validation set. The results of LASSO regression and multifactorial Logistic regression showed that a history of diabetes (OR=2.922, 95% CI: 1.290-6.564, P=0.009), hepatic encephalopathy (OR=6.210, 95% CI: 2.278-17.479, P < 0.001), gastrointestinal bleeding (OR=2.501, 95% CI: 1.236-5.073, P=0.011), ascites (OR=3.219, 95% CI: 1.664-6.539, P < 0.001), male (OR=0.477, 95% CI: 0.254-0.879, P=0.019), hemoglobin (OR=0.987, 95% CI: 0.975-0.999, P=0.044), albumin (OR=0.952, 95% CI: 0.911-0.991, P=0.023), and prothrombin time (OR=0.865, 95% CI: 0.779-0.920, P < 0.001) were the independent influences on the occurrence of AKD in liver cirrhotic patients, and were used to construct a prediction model. The area under the curve of the model in the training set and validation set for predicting the occurrence of AKD in liver cirrhotic patients was 0.895 (95% CI: 0.865-0.925) and 0.869 (95% CI: 0.807-0.930), respectively. The calibration curves showed that the model had good fit and consistency and the clinical decision curves showed that the use of the model for predicting the risk of AKD could benefit liver cirrhotic patients overall.  Conclusions  A prediction model for the occurrence of AKD in liver cirrhotic patients was established based on eight influencing factors, including gender, history of diabetes, and hepatic encephalopathy. It was validated to have good discrimination, calibration, and clinical utility, and is expected to assist in the clinical early screening and identification of liver cirrhosis-associated AKD.

Objective To compare the effects of different doses of vitamin D supplementation on vita-min D deficiency and insufficiency in premature infants.Methods A total of 126 premature infants hospital-ized in the pediatrics department of this hospital from March 25,2021 to December 30,2022 were selected as the study subjects and began to supplement different doses of vitamin D on 3 d after birth under the intestinal tract tolerance.They were divided into 500,900 and 2 100 IU/d groups according to vitamin D supplementary dose.The differences in vitamin D levels at beginning and after supplementation were compared among the groups.Results Among 126 premature infants,there were 52 cases of vitamin D deficiency and 74 cases of vi-tamin D insufficiency.Compared with vitamin D insufficiency,the proportion of vitamin D supplementation in the mothers of the premature infants with vitamin D deficiency was lower(P＜0.05).The serum calcium,phosphorus,alkaline phosphatase and 25-hydroxyvitamin D levels after birth had no statistical difference a-mong 3 groups(P＞0.05).The 25-hydroxyvitamin D level after supplementation had statistical difference a-mong 3 groups(P＜0.05),moreover the 500 IU/d group was lower than the 2 100 IU/d group(P＜0.05).The longest duration of vitamin D supplementation in the 2 100 IU/d group was 90 d,its highest 25-hydroxyvitamin D level after supplementation was 48.3 ng/mL,no vitamin D poisoning condition appeared,there were still 40 cases(85.1％)of vitamin D deficiency and insufficiency after supplementation in the 900 IU/d group,and 17 cases(25.8％)in the 2 100 IU/d group.Conclusion Giving vitamin D 2 100 IU/d in pre-term infants is recommended after birth to prevent the vitamin D deficiency.

Objective To explore the correlation of serum level of reduced NOX2 with cerebral blood supply and prognosis in elderly patients with TBI.Methods A total of 86 elderly TBI pa-tients admitted to our department from January 2019 to December 2022 were recruited and served as the TBI group,and another 80 age-and gender-matched elderly individuals who took physical examinees in our hospital during the same period were enrolled and served as the control group.According to the GCS score at admission,the TBI group was divided into mild,moderate and se-vere subgroups(22,35 and 29 cases).The patients were also assigned into good prognosis sub-group(54 cases)and poor prognosis subgroup(32 cases)based on GOS score in 6 months after treatment.The dynamic changes in serum NOX2 level and cerebral blood flow indicators among different groups and subgroups were compared,and their correlation with the prognostic GOS score was analyzed.Results The average blood flow Vm,rCBF,and rCBV of TBI patients at 1,3,5,7,and 10 d after injury were significantly reduced,and the serum NOX2 level was obviously in-creased when compared to the control group(P＜0.01).Statistical difference was seen in serum NOX2 level among the patients with different degrees of TBI at 1,3,5,7 and 10 d after injury(P＜0.05,P＜0.01).The serum NOX2 level at 1,3,5,7,10 and 14 d after injury in the TBI group was negatively correlated with GCS score(r=-0.413,-0.427,-0.515,-0.592,-0.566,-0.338;P＜0.01),and the Vm CBV,and rCBF values at 1,3,5,7,and 10 d after injury were posi-tively correlated with GCS score(r=0.392,0.379,0.407,0.418,0.420,P＜0.01;r=0.404,0.414,0.429,0.419,0.428,P＜0.01;r=0.412,0.427,0.432,0.428,0.393,P＜0.01).The serum NOX2 level at 1,3,5,7 and 10 d after injury in the TBI group was negatively correlated with Vm,rCBV and rCBF values(P＜0.01).The serum NOX2 level of the patients in the poor prognosis subgroup were significantly higher than those in the good prognosis subgroup at 1,3,5,7,10,and 14 d after injury,while,the rCBV and rCBF values were obviously lower than those in the good prognosis subgroup(P＜0.05,P＜0.01).The serum NOX2 level in the TBI patients at 1,3,5,7,10,and 14 d after injury were negatively,while Vm,rCBV and rCBF values were positively correlated with GOS scores at 6 months after treatment(P＜0.01).Conclusion Elevated serum NOX2 level is closely correlated with insufficient cerebral blood supply and poor prognosis in elderly TBI pa-tients.Dynamic monitoring of serum NOX2 level and changes in cerebral blood flow indicators are of great clinical significance in evaluation of TBI prognosis.

Objective To investigate the effects of the thickness of the chest wall compensation film and the patient's body characteristics on the setup errors and radiation dose of breast cancer patients receiving intensity-modulated radiotherapy following surgery.Methods A total of 103 patients with breast cancer who were treated in the Tumor Radiotherapy Center of Fuyang Cancer Hospital from January 2021 to June 2023 were selected for a prospective study.All patients received cone-beam CT scan.The effects of body mass index(BMI),tumor location,chest circumference,and the affected breast volume on the setup errors were analyzed;and the effects of different compensation film thicknesses on the radiation doses to the planning target volume(PTV),lung,heart,and spinal cord were explored.Results The left-right setup errors didn't differ significantly in breast cancer patients with different BMI and affected sides(P>0.05);but the patients with chest circumference≥89.0 cm and affected breast volume≥650 cm3 had greater left-right setup errors than the other patients(chest circumference<89.0 cm and affected breast volume<650 cm3)(P<0.05).The difference in the superior-inferior setup errors was trivial in breast cancer patients with different affected sides(P>0.05),but the superior-inferior setup errors were greater in patients with BMI≥23.1 kg/m2,chest circumference≥89.0 cm,and breast volume on the affected side≥650 cm3 than the others(BMI<23.1 kg/m2,chest circumference<89.0 cm,and breast volume on the affected side<650 cm3)(P<0.05).There was no significant difference in the anterior-posterior setup errors in breast cancer patients with different BMI,chest circumferences,breast volumes,and affected sides(P>0.05).For left-sided breast cancer,the measured values of D95%and D5%of PTV,V20%of left lung,V30%and Dmean of heart,Dmax of spinal cord,MU,and HI in patients with 0.5 and 1.0 cm compensation films were close(P>0.05);while lower CI was found in patients with 0.5 cm compensation film than those with 1.0 cm compensation film(P<0.05).For right-sided breast cancer,the measured values of D95%and D5%of PTV,V20%of right lung,Dmax of spinal cord,MU,CI,and HI didn't differ significantly between patients using 0.5 and 1.0 cm compensation films(P>0.05).Conclusion The BMI,chest circumference,and breast volume on the affected side in breast cancer patients undergoing intensity-modulated radiotherapy are all associated with the setup errors.Both 0.5 and 1.0 cm chest wall compensation films can be used for postoperative radiotherapy,which has little effect on the dosimetry and accelerator MU.

Objective:To explore the risk factors of perioperative outcomes of lung transplantation and establish a predictive model for delayed extubation after lung transplantation.Methods:From January 1, 2020 to December 31, 2022, 104 lung transplantation recipients were retrospectively collected to identify the risk factors of early post-operative outcome.According to the timing of extubation post-lung transplantation, they were assigned into two groups of normal(77 cases)and delayed(27 cases). Baseline profiles, type of primary diagnosis, cold ischemic duration and lung transplantation approach were compared between two groups.The factors with significant difference were examined by univariate and multivariate Logistic regression.Furthermore, multivariate logistic model was visualized by a nomogram.Receiver operating characteristic(ROC)curve and decision curve analysis(DCA) were performed for evaluating the model's predictive performance and its value for clinical utilization.Results:The postoperative mortality rate was 9.6%.Delayed extubation was a strong predictor for postoperative mortality.Cold ischemic time outperformed others variates in terms of delayed extubation prediction.AUC of cold ischemic time and multivariate logistic model was 0.75(95% CI: 0.69-0.81)and 0.87(95% CI: 0.82-0.91). Conclusions:Delayed postoperative extubation is a key predictor of early post-lung transplantation mortality.The established predictive model may effectively identify high-risk patients for preventive intervention and survival improvement post-lung transplantation.