Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Macrophages play an important role in the development of inflammation,the core mechanism of athero-sclerosis.In recent years,nanotechnology has provided a new perspective for the diagnosis and treatment of atherosclerosis with its unique characteristics of biological compatibility and precise targeting.In this paper,the patholog-ical mechanism of atherosclerosis,the realization of atherosclerosis imaging by targeting macrophages with nanomaterials and the application of macrophage cell membrane biomimetic nanoparticles in anti-atherosclerosis were reviewed.

Objective:To explore the association between postoperative radiotherapy for bladder cancer and the risk of second primary rectal cancer.Methods:Eligible 75 120 patients with bladder cancer from the Surveillance, Epidemiology, and End Result database (SEER) of the National Cancer Institute (NCI) (1975-2017) were enrolled in this study. The second primary cancers referred to rectal cancers patients suffered after more than five years post-treatment for bladder cancer, and the cumulative incidence was estimated using Fine-Gray competing risk regression. The relative risk (RR) of rectal cancer in patients treated with or without radiotherapy (the RT group or the NRT group) was evaluated using Poisson regression.Results:Among the 75 120 patients, 70 045 (92.4%) were Caucasian, with a median age of 65.8 years (54-74 years). A total of 2 236 (3%) received postoperative radiotherapy, while 72 884 (97%) received surgery alone. The 30-year follow-up revealed a cumulative incidence of rectal cancer of 0.93% in the RT group and 0.43% in the NRT group ( P = 0.004). The competing risk regression analysis identified a significant association between radiotherapy and rectal cancer ( HR: 1.86; 95% CI 1.26-2.74, P < 0.009). Furthermore, the RR of radiotherapy-associated rectal cancer significantly increased as the diagnosis occurred earlier (1975-1985 vs. 1985-1994: RR 2.59; 95% CI 1.20-4.86, P < 0.001), and a lower age at the time of radiotherapy was associated with a higher probability of second primary tumors (≤50-year old vs. > 50 year old : RR 7.89, 95% CI 2.97-21.30, P < 0.001). As calculated using the Poisson distribution, the RR of second rectal tumors was higher in the RT group ( RR: 2.20, 95% CI 1.45-3.18, P < 0.001), even after adjusting the date of diagnosis ( RR: 1.77, 95% CI 1.17-2.57, P = 0.009). Conclusions:An increased risk of rectal cancer following bladder cancer radiotherapy necessitates aggressive follow-ups for the purpose of early detecting second primary rectal cancer associated with bladder cancer radiotherapy.

Objective:To evaluate a self-designed intelligent robot-assisted minimally invasive reduction system in the reduction of unstable pelvic fractures by a cadaveric anatomic study.Methods:Ten unembalmed cadavers (7 male and 3 female ones) were used in this study. In each cadaveric specimen an unstable pelvic fracture was created in accordance with clinical case models (3 cases of type B1, 4 cases of type B2 and 3 cases of type C1 by the Tile classification). A self-designed intelligent robot-assisted minimally invasive reduction system was used to assist the reduction in the cadaveric models. Intraoperative registration and navigation time, autonomous reduction time, total operation time and reduction error were measured.Results:Effective reduction was completed in 10 bone models with the assistance of our self-designed intelligent robot-assisted minimally invasive reduction system. The time for intraoperative registration and navigation averaged 47.4 min (from 32 to 74 min), the autonomous reduction time 73.9 min (from 48 to 96 min), and the total operation time 121.3 min (from 83 to 170 min). The reduction error averaged 2.02 mm (from 1.67 to 2.62 mm), and the reduction results met the clinical requirements.Conclusion:Our self-designed intelligent robot-assisted minimally invasive reduction system is a new clinical solution for unstable pelvic fractures, showing advantages of agreement with clinical operative procedures, high reduction accuracy and operational feasibility, and reduced radiation exposure compared to a conventional operation.

Objective: To investigate the feasibility of cine three-dimensional (3D) balanced steady-state free precession (b-SSFP) imaging combined with a non-local means (NLM) algorithm for image denoising in evaluating cardiac function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods: Thirty-five patients with rTOF (mean age, 12 years; range, 7–18 years) were enrolled to undergo cardiac cine image acquisition, including two-dimensional (2D) b-SSFP, 3D b-SSFP, and 3D b-SSFP combined with NLM. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) of the two ventricles were measured and indexed by body surface index. Acquisition time and image quality were recorded and compared among the three imaging sequences. Results: 3D b-SSFP with denoising vs. 2D b-SSFP had high correlation coefficients for EDV, ESV, SV, and EF of the left (0.959– 0.991; p < 0.001) as well as right (0.755–0.965; p < 0.001) ventricular metrics. The image acquisition time ± standard deviation (SD) was 25.1 ± 2.4 seconds for 3D b-SSFP compared with 277.6 ± 0.7 seconds for 2D b-SSFP, indicating a significantly shorter time with the 3D than the 2D sequence (p < 0.001). Image quality score was better with 3D b-SSFP combined with denoising than with 3D b-SSFP (mean ± SD, 3.8 ± 0.6 vs. 3.5 ± 0.6; p = 0.005). Signal-to-noise ratios for blood and myocardium as well as contrast between blood and myocardium were higher for 3D b-SSFP combined with denoising than for 3D b-SSFP (p < 0.05 for all but septal myocardium). Conclusion The 3D b-SSFP sequence can significantly reduce acquisition time compared to the 2D b-SSFP sequence for cine imaging in the evaluation of ventricular function in children with rTOF, and its quality can be further improved by combining it with an NLM denoising method.

Objective:To explore the clinical effect of "information knowledge belief practice" model, namely "IKAP theory" nursing intervention model on patients with peritoneal dialysis(PD).Methods:The clinical data of 120 patients with PD treated in The Second Hospital of Tianjin Medical University from January 2020 to December 2020 were analyzed retrospectively. The patients were randomly divided into control group and observation group, with 60 cases in each group. In the observation group, there were 32 males and 28 females with an age range of (56.16±10.25) years, including 18 cases of diabetic nephropathy, 22 cases of chronic glomerulonephritis and 20 cases of hypertensive nephropathy. In the control group, there were 34 males and 26 females, with an age range of (56.27±10.34) years, including 14 cases of diabetic nephropathy, 18 cases of chronic glomerulonephritis and 28 cases of hypertensive nephropathy. The patients in the control group were given routine nursing. In addition to the routine nursing, the patients in the observation group also adopted IKAP mode for nursing intervention. The levels of hemoglobin (HB), serum albumin (ALB), comprehensive nutrition assessment score (SGA) and nursing satisfaction of the two groups were compared before and 6 months after the intervention. The comparison of measurement data before and after intervention in the intervention group was analyzed by paired sample t-test. Frequency data were compared and analyzed by Chi-square ( χ2) test. Results:Before the intervention, there was no significant difference in ALB, Hb levels and SGA between the observation group and the control group( t=1.001~1.743, all P>0.05). After the intervention, the SGA score of the observation group was lower than that of the control group, while the levels of ALB and Hb were higher than those of the control group, and the differences between the two groups were statistically significant ( t=3.411~5.050, all P<0.05). The satisfaction of patients in the observation group was 95%, while that in the control group was 78.33%, and the difference between the two groups was statistically significant ( χ2=7.212, P<0.05). Conclusions:For peritoneal dialysis patients, IKAP nursing intervention can not only effectively improve their nutritional status, but also increase their satisfaction with nursing. IKAP nursing intervention model is worthy of clinical promotion.

Objective: To investigate the feasibility of cine three-dimensional (3D) balanced steady-state free precession (b-SSFP) imaging combined with a non-local means (NLM) algorithm for image denoising in evaluating cardiac function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods: Thirty-five patients with rTOF (mean age, 12 years; range, 7–18 years) were enrolled to undergo cardiac cine image acquisition, including two-dimensional (2D) b-SSFP, 3D b-SSFP, and 3D b-SSFP combined with NLM. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) of the two ventricles were measured and indexed by body surface index. Acquisition time and image quality were recorded and compared among the three imaging sequences. Results: 3D b-SSFP with denoising vs. 2D b-SSFP had high correlation coefficients for EDV, ESV, SV, and EF of the left (0.959– 0.991; p < 0.001) as well as right (0.755–0.965; p < 0.001) ventricular metrics. The image acquisition time ± standard deviation (SD) was 25.1 ± 2.4 seconds for 3D b-SSFP compared with 277.6 ± 0.7 seconds for 2D b-SSFP, indicating a significantly shorter time with the 3D than the 2D sequence (p < 0.001). Image quality score was better with 3D b-SSFP combined with denoising than with 3D b-SSFP (mean ± SD, 3.8 ± 0.6 vs. 3.5 ± 0.6; p = 0.005). Signal-to-noise ratios for blood and myocardium as well as contrast between blood and myocardium were higher for 3D b-SSFP combined with denoising than for 3D b-SSFP (p < 0.05 for all but septal myocardium). Conclusion The 3D b-SSFP sequence can significantly reduce acquisition time compared to the 2D b-SSFP sequence for cine imaging in the evaluation of ventricular function in children with rTOF, and its quality can be further improved by combining it with an NLM denoising method.

OBJECTIVETo analyze mutations of SLC26A4 gene and explore their origins for a patient with enlarge vestibuar aqueduct syndrome.

METHODSClinical data and peripheral venous blood samples were collected from the patient and her parents. Genome DNA was extracted from the peripheral blood. All of the 21 exons of the SLC26A4 gene were amplified with PCR and subjected to directly sequencing.

RESULTSThe patient was found to have carried two mutant alleles of the SLC26A4 gene, namely c.1522A to G and c.1229C to T, which were inherited from her father and mother, respectively.

CONCLUSIONSLC26A4 c.1522A to G is likely to be a pathogenic mutation. Above results may facilitate genetic counseling and prenatal diagnosis for this family.

Adult ; Amino Acid Sequence ; Child ; Exons ; Female ; Hearing Loss, Sensorineural ; genetics ; Humans ; Male ; Membrane Transport Proteins ; genetics ; Molecular Sequence Data ; Pedigree ; Vestibular Aqueduct ; abnormalities