Objective To explore the value of ultrasound elastography in the non-invasive monitoring of liver elasticity of stable recipients at different stages after liver transplantation. Methods Clinical data of 73 stable recipients after liver transplantation were collected. According to the time after liver transplantation, all patients were divided into the early group (n=25) and medium-to-long group (n=48). In addition, 38 healthy subjects were assigned into the control group. The ultrasound indexes and liver function indexes were statistically compared among each group. The ultrasound elastography indexes of liver and spleen were analyzed, and their correlation with liver function indexes was analyzed. Results Compared with the control group, the ultrasound indexes, alanine aminotransferase (ALT), γ-glutamyl transferase (GGT) and alkaline phosphatase (ALP) levels were significantly increased in the early group (all P < 0.05), and the ultrasound indexes in the medium-to-long group were significantly increased, whereas the GGT level was significantly decreased (all P < 0.05). Compared with the early group, the right oblique diameter of liver, ALT, GGT and ALP levels were significantly decreased in the medium-to-long group (all P < 0.05). Compared with the control group, the sound touch elastography (STE) and sound touch quantify (STQ) values of liver and STE value of spleen in the early group and medium-to-long group were significantly increased (all P < 0.05). Compared with the early group, the ultrasound elastography indexes of liver and spleen in the medium-to-long group were remarkably decreased (all P < 0.05). The ultrasound elastography indexes of liver were weakly correlated with the ALT, aspartate aminotransferase (AST) and GGT levels, significantly correlated with ALP level. The STE value of spleen was weakly correlated with the ALP level. The STE value of liver was significantly correlated with the STQ value of liver. The STE and STQ values of liver were weakly correlated with the STE value of spleen. Conclusions The characteristics of liver elasticity in stable recipients after liver transplantation are various among different stages. Persistent monitoring of liver elasticity may provide a novelnon-invasive monitoring method during follow-up after liver transplantation.

OBJECTIVETo develop The Diabetes Self-management Knowledge, Attitude, and Behavior Scale (DSKAB) with Chinese population social culture character in a good validity and reliability after Delphi method and pilot study.

METHODSThis study based on former knowledge, attitude, and behavior questionnaires, an index list was established through literature search, group discussion, and expert in-depth interviews. Then we identified the core indexes and developed a primary scale through the Delphi. We selected 24 experts who specialized in the field of diabetes related clinical medicine, non-communicable diseases self-management, non-communicable diseases control and prevention, and public health. The consultation tables were delivered by EMS and Email. All the experts were asked to grade the evaluation indexes based on overall consideration finality, scientificity, importance, applicability, and to explain the extent of similarity and the basis of judgment. The core indexes of the scale were determined through the positive coefficient, the degree of concentration, the harmonious coefficient, the authoritative coefficient. We selected 27 diabetes patients from the community, and interviewed them face to face. After finishing the field survey, we organized the staff who investigated the patients to participate the panel discussion, to modify and adjust the items formed the scale knowledge attitude behavior of self-management for patients with diabetes mellitus.

RESULTSTwo rounds of Delphi both reclaimed 20 experts(') responses, the positive coefficients were 83% and 100% respectively, the authoritative coefficients were 0.85 ± 0.10 and 0.87 ± 0.09, the harmonious coefficients were 0.16 and 0.23 (χ(2) were 283.49 and 398.00, P<0.001) respectively. We identified 75 core indexes through two-round Delphi, 86.30% (63/75) indexes had the importance of full marks than in 0.50 above, it developed the primary scale which included 100 items. Based on the pilot study, we increased 2 items, deleted 4 items, recomposed 2 items and reserved 96 items, the scale consisted of 98 items that were made of three subscales which were the knowledge subscale, the attitude subscale and the behavior subscale.

CONCLUSIONFor DSKAB through Delphi method and pilot study, the active coefficients, the authoritative coefficients, the harmonious coefficients fulfilled the scientific requires, it also laid the foundation for the good performance of the scale.

Delphi Technique ; Diabetes Mellitus ; therapy ; Health Knowledge, Attitudes, Practice ; Humans ; Pilot Projects ; Reproducibility of Results ; Self Care

OBJECTIVETo evaluate the validity and reliability of Diabetes Self-management Knowledge, Attitude, and Behavior Assessment Scale (DSKAB).

METHODSWe selected 460 patients with diabetes in the community, used the scale which was after two rounds of the Delphi method and pilot study. Investigators surveyed the patients by the way of face to face. by draw lots, we selected 25 community diabetes randomly for repeating investigations after one week. The validity analyses included face validity, content validity, construct validity and discriminant validity. The reliability analyses included Cronbach's α coefficient, θ coefficient, Ω coefficient, split-half reliability and test-retest reliability.

RESULTSThis study distributed a total of 460 questionnaires, reclaimed 442, qualified 432. The score of the scale was 254.59 ± 28.90, the scores of the knowledge, attitude, behavior sub-scales were 82.44 ± 11.24, 63.53 ± 5.77 and 108.61 ± 17.55, respectively. It had excellent face validity and content validity. The correlation coefficient was from 0.71 to 0.91 among three sub-scales and the scale, P<0.001. The common factor cumulative variance contribution rate of the scale and three sub-scales was from 57.28% to 67.19%, which achieved more than 50% of the approved standard, there was 25 common factors, 91 items of the total 98 items held factor loading ≥0.40 in its relevant common factor, it had good construct validity. The scores of high group and low group in three sub-scales were: knowledge (91.12 ± 3.62) and (69.96 ± 11.20), attitude (68.75 ± 4.51) and (58.79 ± 4.87), behavior (129.38 ± 8.53) and (89.65 ± 11.34),mean scores of three sub-scales were apparently different, which compared between high score group and low score group, the t value were - 19.45, -16.24 and -30.29, respectively, P<0.001, and it had good discriminant validity. The Cronbach's α coefficient of the scale and three sub-scales was from 0.79 to 0.93, the θ coefficient was from 0.86 to 0.95, the Ω coefficient was from 0.90 to 0.98, split-half reliability was from 0.89 to 0.95.Test-retest reliability of the scale was 0.51;the three sub-scales was from 0.46 to 0.52, P<0.05.

CONCLUSIONThe validity and reliability of the Diabetes Self-management Knowledge, Attitude, and Behavior Assessment Scale are excellent, which is a suitable instrument to evaluate the self-management for patients with diabetes.

Diabetes Mellitus ; therapy ; Health Knowledge, Attitudes, Practice ; Humans ; Pilot Projects ; Reproducibility of Results ; Self Care ; Surveys and Questionnaires

Objective:To study the value of sound touch elastography (STE) linear combined with ultrasound score (US) in the diagnosis of chronic hepatitis B (CHB) liver fibrosis, and to investigate whether their combination can improve the diagnostic efficiency of subdividing the degree of CHB liver fibrosis. Furthermore, a comparison with STE linear combined with the serological model was performed to seek the optimal linear combination model.Methods:A total of 313 subjects were enrolled from September 2018 to December 2021 in Shenzhen Third People′s Hospital Affiliated to Guangdong Medical University, including 259 patients with CHB who had completed liver biopsy and 54 healthy volunteers. CHB patients were divided into liver fibrosis group (F1-F4 group) according to METAVIR classification standard, and healthy volunteers were used as the control group. All subjects underwent liver ultrasound examination, STE and blood biochemical indexes of liver function. The US was performed according to the liver ultrasound examination, and the liver stiffness measurement (LSM) was measured by STE, aspartate aminotransferase and platelet ratio index (APRI) was calculated by blood biochemical index. Fisher discriminant analysis was used to establish the linear combination (LC) diagnostic marker of US and LSM, and the linear combination (LC2) diagnostic marker of LSM and APRI, successively. Spearman rank correlation coefficient was used to analyze the correlations between US, LSM, APRI, LC2, LC and pathological results. The ROC curves of US, LSM, APRI, LC2 and LC for diagnosing CHB liver fibrosis were plotted, and the diagnostic efficiency of above diagnostic markers was evaluated according to the accuracy, sensitivity, specificity and area under the ROC curve (AUC).Results:The formula for the linear combination of US and LSM was LC=0.986 0×US+ 0.166 7×LSM, and LC was highly positively correlated with pathological findings ( rs=0.851, P<0.001), higher than US, LSM, LC2 and APRI ( rs=0.825, 0.775, 0.802, 0.586, all P<0.001). LC showed the best diagnostic efficiency. The AUCs for diagnosing ≥F1, ≥F2, ≥F3 liver fibrosis and =F4 cirrhosis were 0.945, 0.911, 0.954, 0.955, respectively, which superior to the AUCs of US (0.913, 0.879, 0.934 and 0.916, respectively), the AUCs of LSM (0.860, 0.871, 0.934 and 0.952, respectively) and the AUCs of LC2(0.899, 0.883, 0.941, 0.946, respectively). Compared with US, the AUC of LC diagnosis of ≥F1, ≥F2, ≥F3 liver fibrosis and =F4 cirrhosis increased by 3.2%, 3.2%, 2.0% and 3.9%, respectively, with all significant differences ( P<0.05). Compared with LSM, the AUC of LC increased by 8.5%, 4.0%, 2.0% and 0.3%, respectively, with significant difference ( P<0.05) except for stage =F4 cirrhosis.Compared with LC2, the AUC of LC increased by 4.6%, 2.8%, 1.3% and 0.9%, respectively, and there were significant differences in the diagnosis of ≥F1 and ≥F2 liver fibrosis ( P<0.05). Moreover, the overall efficiency of LC2 was not significantly improved than LSM, the difference was not significant ( P>0.05). Conclusions:US, LSM, LC2 and LC can be used to diagnose the degree of CHB liver fibrosis, but LC is better than US or LSM and LC2 alone, especially in the subdivision of mild liver fibrosis, which is a promising new diagnostic marker to subdivide the degree of CHB liver fibrosis.

Objective:To compare the evaluation value of Glascow-Scoring Scoring System (GBS) and Modified Glascow-Scoring System (mGBS) for clinical intervention and prognosis of patients with non-varicose gastrointestinal bleeding.Methods:The convenient sampling method was used to retrospectively analyze 254 patients with non-varicose gastrointestinal bleeding who were admitted to a Class Ⅲ Grade A hospital in Anhui province from January 2017 to May 2018, and GBS and revised GBS scores of all patients were calculated. The value of the two scoring systems in predicting of rebleeding rate during hospitalization, blood transfusion, endoscopic intervention, deaths of patients and the rate of patients transferring to ICU.Results:Area under the ROC curve ( AUC) of GBS scoring system for blood transfusion, rebleeding, death and ICU transfer in patients with non-varicose gastrointestinal bleeding were 0.761, 0.714, 0.865 and 0.829, respectively. AUC of mGBS scoring system for blood transfusion, rebleeding, death and ICU transfer in non-varicose gastrointestinal bleeding patients were 0.753, 0.718, 0.871 and 0.792, respectively. Both scoring systems had good predictive ability. The predicted AUC of GBS scoring system for endoscopic intervention was 0.540, and that of mGBS scoring system was 0.542, showing a low predictive value. The cut-off points for blood transfusion, rebleeding, death and transfer to ICU were respectively 8, 11, 12, and 11 for the GBS scoring system, and those were respectively 7, 8, 10, and 11 for mGBS scoring system. The optimal cutoff point increased with the increase of disease severity, and there was no statistically significant difference between the two scoring systems ( P>0.05) . Conclusions:Both scoring systems can better predict the disease intervention needs and prognosis of patients with non-varicose gastrointestinal bleeding. It is recommended to use the simpler and modified GBS scoring system in clinical practice.

Objective To observe the value of 3D Res2Net deep learning model for predicting volume doubling time(VDT)of solid pulmonary nodule.Methods Chest CT data of 734 patients with solid pulmonary nodules were retrospectively analyzed.The patients were divided into progressive group(n=218)and non-progressive group(n=516)according to whether lung nodule volume increased by ≥25％during follow-up or not,also assigned into training set(n=515)and validation set(n=219)at a ratio of 7∶3.Then a clinical model was constructed based on clinical factors being significantly different between groups,CT features model was constructed based on features of nodules on 2D CT images using convolutional neural network,and 3D Res2Net model was constructed based on Res2Net network using 3D CT images as input.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated.Taken actual VDT as gold standard,the efficacy of the above models for predicting solid pulmonary nodule'VDT≤400 days were evaluated.Results No significant difference of predicting efficacy for solid pulmonary nodule'VDT≤400 days was found among clinical model,CT feature model and 3D Res2Net model,the AUC of which was 0.689,0.698 and 0.734 in training set,0.692,0.714 and 0.721 in validation set,respectively.3D Res2Net model needed 5-7 s to predict VDT of solid pulmonary nodules,with an average time of(5.92±1.08)s.Conclusion 3D Res2Net model could be used to predict VDT of solid pulmonary nodules,which might obviously reduce manual interpreting time.

Objective To observe the value of feature pyramid network(FPN)for automatic segmentation and semantic feature classification of spontaneous intracerebral hemorrhage(sICH)hematoma showed on non-contrast CT.Methods Non-contrast CT images of 408 sICH patients in hospital A(training set)and 103 sICH patients in hospital B(validation set)were retrospectively analyzed.Deep learning(DL)segmentation model was constructed based on FPN to segment the hematoma region,and its efficacy was assessed using intersection over union(IoU),Dice similarity coefficient(DSC)and accuracy.Then DL classification model was established to identify the semantic features of sICH hematoma.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of DL classification model for recognizing semantic features of sICH hematoma.Results The IoU,DSC and accuracy of DL segmentation model for 95％sICH hematoma in training set was 0.84±0.07,0.91±0.04 and(88.78±8.04)％,respectively,which was 0.83±0.07,0.91±0.05 and(88.59±7.76)％in validation set,respectively.The AUC of DL classification model for recognizing irregular shape,uneven density,satellite sign,mixed sign and vortex sign of sICH hematoma were 0.946-0.993 and 0.714-0.833 in training set and validation set,respectively.Conclusions FPN could accurately,effectively and automatically segment hematoma of sICH,hence having high efficacy for identifying semantic features of sICH hematoma.