Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

Objective To investigate the relationship between thyroid function and brain volume in patients with Alzheimer's disease(AD).Methods A total of 64 AD patients(AD group)and 36 patients with mild cognitive impairment(MCI group)admitted in our department from January 2020 to March 2022 were enrolled in this study.Another 19 healthy individuals who had no cogni-tive impairment or psychiatric disorders were enrolled and served as normal control group.Their levels of free triiodothyronine(FT3),free thyroxine(FT4)and thyroid stimulating hormone(TSH)were detected by electrochemical luminescence assay.Results FT3 level was significantly decreased in the MCI group and AD group than the normal control group[2.50(2.28,2.60)ng/L and 2.07(1.97,2.30)ng/L vs 2.76(2.55,2.93)ng/L,P＜0.05],and the decrease in the AD group was more obvious than that in the MCI group.The volumes of the midbrain,pons,medulla oblon-gata,hippocampus,amygdala and temporal lobe were significantly smaller in the AD group than the MCI group(P＜0.05,P＜0.01).Spearman correlation analysis and multivariate linear regres-sion analysis showed that in the AD patients,FT3 and FT4 levels were positively while TSH level was negatively correlated with the volumes of both right and left hippocampus and amygdala(P＜0.05,P＜0.01),and TSH level was also negatively correlated with the left temporal lobe volume(P＜0.05).Conclusion Thyroid dysfunction is associated with reduced brain volume in AD patietns,and may contribute to the progression of AD cognitive dysfunction and brain atrophy.

Objective:To investigate the surgical situations and perioperative outcome of pancreaticoduodenectomy in Jiangsu Province and the influencing factors for postoperative 90-day mortality.Methods:The retrospective case-control study was conducted. The clinicopathological data of 2 886 patients who underwent pancreaticoduodenectomy in 21 large tertiary hospitals of Jiangsu Quality Control Center for Pancreatic Diseases, including The First Affiliated Hospital of Nanjing Medical University, from March 2021 to December 2022 were collected. There were 1 732 males and 1 154 females, aged 65(57,71)years. Under the framework of the Jiangsu Provincial Pancreatic Disease Quality Control Project, the Jiangsu Quality Control Center for Pancreatic Diseases adopted a multi-center registration research method to establish a provincial electronic database for pancrea-ticoduodenectomy. Observation indicators: (1) clinical characteristics; (2) intraoperative and post-operative conditions; (3) influencing factors for 90-day mortality after pancreaticoduodenectomy. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(IQR), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or constituent ratio, and comparison between groups was conducted using the chi-square test, continuity correction chi-square test and Fisher exact probability. Maximal Youden index method was used to determine the cutoff value of continuous variables. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic multiple regression model. Results:(1) Clinical characteristics. Of the 2 886 patients who underwent pancreaticoduodenectomy, there were 1 175 and 1 711 cases in 2021 and 2022, respectively. Of the 21 hospitals, 8 hospitals had an average annual surgical volume of <36 cases for pancreaticoduodenectomy, 10 hospitals had an average annual surgical volume of 36-119 cases, and 3 hospitals had an average annual surgical volume of ≥120 cases. There were 2 584 cases performed pancreaticoduodenectomy in thirteen hospitals with an average annual surgical volume of ≥36 cases, accounting for 89.536%(2 584/2 886)of the total cases. There were 1 357 cases performed pancrea-ticoduodenectomy in three hospitals with an average annual surgical volume of ≥120 cases, accounting for 47.020%(1 357/2 886) of the total cases. (2) Intraoperative and postoperative conditions. Of the 2 886 patients, the surgical approach was open surgery in 2 397 cases, minimally invasive surgery in 488 cases, and it is unknown in 1 case. The pylorus was preserved in 871 cases, not preserved in 1 952 cases, and it is unknown in 63 cases. Combined organ resection was performed in 305 cases (including vascular resection in 209 cases), not combined organ resection in 2 579 cases, and it is unknown in 2 cases. The operation time of 2 885 patients was 290(115)minutes, the volume of intra-operative blood loss of 2 882 patients was 240(250)mL, and the intraoperative blood transfusion rate of 2 880 patients was 27.153%(782/2 880). Of the 2 886 patients, the invasive treatment rate was 11.342%(327/2 883), the unplanned Intensive Care Unit (ICU) treatment rate was 3.087%(89/2 883), the reoperation rate was 1.590%(45/2 830), the duration of postoperative hospital stay was 17(11)days, the hospitalization mortality rate was 0.798%(23/2 882), and the failure rate of rescue data in 2 083 cases with severe complications was 6.529%(19/291). There were 2 477 patients receiving postoperative 90-day follow-up, with the 90-day mortality of 2.705%(67/2477). The total incidence rate of complication in 2 886 patients was 58.997%(1 423/2 412). The incidence rate of severe complication was 13.970%(291/2 083). The comprehensive complication index was 8.7(22.6) in 2 078 patients. (3) Influencing factors for 90-day mortality after pancreaticoduodenectomy. Results of multivariate analysis showed that age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment were independent risk factors for 90-day mortality after pancreaticoduodenectomy ( odds ratio=2.403, 2.609, 16.141, 95% confidence interval as 1.281-4.510, 1.298-5.244, 7.119-36.596, P<0.05). Average annual surgical volume ≥36 cases in the hospital was an independent protective factor for 90-day mortality after pancreaticoduodenectomy ( odds ratio=0.368, 95% confidence interval as 0.168-0.808, P<0.05). Conclusions:Pancreaticoduodenectomy in Jiangsu Province is highly con-centrated in some hospitals, with a high incidence of postoperative complications, and the risk of postoperative 90-day mortality is significant higher than that of hospitallization mortality. Age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment are independent risk factors for 90-day motality after pancreaticoduodenectomy, and average annual surgical volume ≥36 cases in the hospital is an independent protective factor.

Objective To explore the effect of a R language-based autoregressive integrated moving average(ARIMA)model for predicting the consumption of medical consumables.Methods The monthly consumption data of a certain type of pre-filled flush syringe from July 2018 to June 2023 was selected as the sample data,which underwent smoothness test and difference operation with R language.An ARIMA model was established and the optimal model was determined according to the Akaike and Bayesian information criteria.The corresponding data of the third quarter of 2023 was used as the validation set to predict the consumption,and the prediction result was compared with the actual values to evaluate the prediction effect of the ARIMA model.Results The ARIMA model with the best fitting was ARIMA(0,1,1)(1,0,0)12,all the predicted data were within 95％confidence interval,and its mean absolute percentage error MAPE was 9.92％.P-value proved to be higher than 0.05 when the residual series were tested using the Ljung-Box statistics,which meant the prediction result was satisfactory.Conclusion The R language-based ARIMA model behaves well in predicting the consumption of medical consumables,and provides references for demand planning,budgeting,purchasing and management of medical consumables.[Chinese Medical Equipment Journal,2024,45(10):84-87]

Objective To investigate the relationship between serum levels of E-cadherin and β-catenin and calcium phosphorus metabolism and carotid artery calcification in patients with diabetic nephropathy.Methods A total of 112 patients with diabetic nephropathy admitted to the hospital from May 2019 to No-vember 2022 were selected as the study group,and were divided into a carotid artery calcification group(n=44)and a non-carotid artery calcification group(n=68)according to the results of bilateral carotid artery col-or Doppler ultrasound.In addition,90 healthy people who underwent physical examination in the hospital dur-ing the same period were selected as the control group.Serum E-cadherin,β-catenin,calcium phosphorus me-tabolism levels were detected and compared.Pearson correlation analysis was used to explore the relationship between serum E-cadherin,β-catenin and calcium phosphorus metabolism in patients with diabetic nephropa-thy.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum E-cad-herin and β-catenin for carotid artery calcification in patients with diabetic nephropathy.Multivariate Logistic regression analysis was used to explore the influencing factors of carotid artery calcification in patients with di-abetic nephropathy.Results The levels of glycosylated hemoglobin,serum phosphorus,calcium-phosphorus product,parathyroid hormone(iPTH),creatinine,alkaline phosphatase and β-catenin in the study group were higher than those in the control group,and the level of E-cadherin was lower than that in the control group(P＜0.05).The levels of serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine,al-kaline phosphatase and β-catenin in the carotid artery calcification group were higher than those in the non-ca-rotid artery calcification group,and the level of E-cadherin was lower than that in the non-carotid artery calci-fication group(P＜0.05).Pearson correlation analysis showed that serum E-cadherin level in patients with di-abetic nephropathy was negatively correlated with serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine and alkaline phosphatase(r=-0.453,-0.654,-0.365,-0.490,-0.411,-0.377,all P＜0.001).The level of serum β-catenin was positively correlated with serum phosphorus,serum calcium,calcium phosphorus product,iPTH,creatinine,and alkaline phosphatase(r=0.444,0.345,0.421,0.398,0.651,0.622,all P＜0.001).ROC curve analysis showed that the area under the curve of serum E-cad-herin,β-catenin and their combination for predicting carotid artery calcification in diabetic nephropathy were 0.844(95％CI 0.795-0.894),0.853(95％CI 0.801-0.901)and 0.901(95％CI 0.801-0.901),respec-tively.Multivariate Logistic regression analysis showed that serum E-cadherin(OR=3.789,95％CI 2.055-6.983),β-catenin(OR=4.104,95％CI 1.795-9.385),calcium phosphorus product(OR=2.998,95％CI 1.895-4.743)and iPTH(OR=2.713,95％CI 1.787-4.118)were the influencing factors of carotid artery calcification in patients with diabetic nephropathy(P＜0.05).Conclusion The level of β-catenin is increased and the level of E-cadherin is decreased in patients with diabetic nephropathy.β-catenin and E-cadherin are closely related to calcium phosphorus metabolism and carotid artery calcification,which could be used as effec-tive indicators to evaluate carotid artery calcification in patients with diabetic nephropathy.The combination ofβ-catenin and E-cadherin has a higher predictive value for carotid artery calcification.

Objective To investigate the relationship between serum levels of growth differentiation factor-11(GDF-11)and S100 calcium binding protein A4(S100A4)and the severity and disease outcome in diabetic nephropathy(DN)patients.Methods A total of 95 DN patients admitted to the hospital from May 2021 to January 2023 were selected as the study group,and 110 healthy people were selected as the healthy group.The DN patients were divided into mild group(n=66)and severe group(n=29)according to the severity of the disease.The patients were followed up for half a year after discharge,and were divided into good prognosis group(n=64)and poor prognosis group(n=31)according to the prognosis.Serum GDF-11 and S100A4 lev-els were detected by enzyme-linked immunosorbent assay.Spearman rank correlation analysis was used to ex-plore the relationship between serum GDF-11,S100A4 levels and the severity of the disease.Receiver operat-ing characteristic(ROC)curve was used to evaluate the predictive value of serum GDF-11 and S100A4 for dis-ease outcome in DN patients,and multivariate Logistic regression was used to analyze the influencing factors of disease outcome in DN patients.Results The levels of serum GDF-11 and S100A4 in mild group and severe group were higher than those in healthy group,and those in severe group were higher than those in mild group(P＜0.05).Serum GDF-11 and S100A4 levels were positively correlated with the severity of DN patients(P＜0.05).The good prognosis group had significantly lower serum levels of GDF-11 and S100A4 than the poor prognosis group(P＜0.05).The area under the curve(AUC)of serum GDF-11 and S100A4 in predicting the outcome of DN patients was 0.785 and 0.839,respectively,and the AUC of combined prediction was 0.902.The proportion of type 2 diabetes(T2DM)duration,glomerular grade Ⅲ-Ⅳ,interstitial inflammation score 2,interstitial fibrosis and tubular atrophy(IFTA)score 2-3 points,estimate glomerular filtration rate＜60 mL/(min·1.73 m2)and the levels of total cholesterol,triglyceride,low-density lipoprotein choles-terol,24 h urinary protein,glycosylated hemoglobin,C-peptide,hematocrit,and erythrocyte sedimentation rate in the good prognosis group were higher than those in the good prognosis group(P＜0.05).Multivariate Lo-gistic regression analysis showed that the duration of T2DM ≥12.0 years,IFTA score ≥2 points,GDF-11≥700.82 ng/mL,S100A4 ≥ 211.53 ng/L were risk factors for poor prognosis in DN patients(P＜0.05).Conclusion The levels of serum S100A4 and GDF-11 are highly expressed in patients with diabetes mellitus,and are related to the severity and outcome of the disease,which are expected to be potential markers for eval-uating the condition and prognosis of diabetes mellitus.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.

The Remote Medical Platform of Cloud Women and Children Health Care in Hubei Province is the key to improve the capacity building of maternal and child health care institutions,and is an important way to implement hierarchical diagnosis and treatment with the help of Internet+.After a brief analysis of the current situation and demand for maternal and child resources,it introduces the architecture and functions of the platform,and elaborates on the effectiveness of the application.In the end,putting forward relevant suggestions for future development based on the problems in application.