OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

Objective To explore the effect of deep learning image reconstruction(DLIR)algorithm combined with"double low"[low voltage(kV)and low contrast agent dosage]technique on the image quality of coronary computed tomography angiography(CCTA)in overweight patients compared with adaptive statistical iterative reconstruction(ASIR-V)and filtered back projection(FBP).Methods Fifty-two patients with body mass index(BMI)between 25.1 kg/m2and 28 kg/m2 who underwent CCTA scanning were prospectively selected,all of whom scanned on a GE Revolution APEX-CT with a tube voltage of 80 kV,a smart mA(500-1 300 mA),a noise index of 30,and a contrast dosage of 0.5 mL/kg;four groups of images were reconstructed for each patient,FBP,50％ASIR-V,DLIR-M,and DLIR-H.The CT and SD values of the aorta(AO)root,the proximal segment of the right coronary artery(RCA),the left circumflex(LCX),the left anterior descending branch(LAD)and the pericardial fat were measured,and the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.Two doctors experienced in the diagnosis of cardiovascular disease were selected to subjectively score the reconstructed images using a double-blind method.The SD value,SNR value,CNR value and subjective scores of images in the four groups were compared.Results In the objective image quality evaluation,there were statistically significant differences in SD value,SNR value and CNR value of reconstructed images in the four groups(P＜0.05).As the four groups of reconstruction algorithms FBP,50％ASIR-V,DLIR-M,and DLIR-H were changed sequentially,the image SD value gradually decreased,the SNR value and CNR value gradually increased,and the DLIR-H group had the lowest SD value and the highest SNR and CNR values.In the subjective image quality evaluation,the subjective scores of the two doctors had good consistency(Kappa value=0.900),and the difference between them was statistically significant(P＜0.001).The subjective scores of DLIR-M and DLIR-H groups were higher.Conclusion DLIR algorithm combined with"double-low"technique can significantly improve the CCTA image quality of overweight patients,which is better than 50％ASIR-V and FBP.

Objective:To explore the risk factors of oral-mucosal pressure injury (OMPI) in patients with tracheal intubation in ICU and to establish a nomogram model.Methods:Using the convenient sampling method, a total of 640 patients with oral tracheal intubation admitted to ICU of the First Affiliated Hospital of Xinjiang Medical University from January to May 2023 were selected as the research objects. They were divided into the occurrence group ( n=286) and the non-occurrence group ( n=354) according to whether OMPI occurred or not. Binomial Logistic regression analysis was used to explore the risk factors for OMPI in patients with tracheal intubation in ICU. A risk nomogram model was created based on independent risk factors, and internal verification was conducted by Bootstrap repeated sampling method. Results:OMPI occurred in 286 of 640 ICU patients with tracheal intubation. Binomial Logistic regression analysis showed that high APACHEⅡ score, modified Beck oral score greater than or equal to 11 points, use of sedative drugs, prone ventilation, long retention time of tracheal catheter, low oxygenation index less than 200 mmHg (1 mmHg=0.133 kPa) and tracheal catheter fixation frequency of 1 time /24 h were the risk factors for OMPI in patients with tracheal intubation in ICU ( P<0.05). A risk nomogram model for OMPI in patients with tracheal intubation in ICU was established based on independent risk factors. The results showed that the predictive performance (area under the receiver operating characteristic curve of subjects was 0.918, 95% confidence interval was 0.897 to 0.938) and calibration (χ 2 value of 4.647, P=0.795) of the risk nomogram model for OMPI in patients with tracheal intubation in ICU were good. When the threshold probability was 0 to 1, the decision curve showed that the model had good clinical effectiveness. Conclusions:The OMPI risk nomogram model of tracheal intubation patients in ICU established in this study has good calibration and differentiation, which can be used as an effective tool for screening high-risk patients.

Cellular dysfunction caused by vesicle transport is associated with a variety of diseases.The trans-Golgi network(TGN)to endosome transport is an important pathway of vesicle transport,and its defects leading to protein balance disorders has been linked to many diseases such as cancer,neurodegenerative diseases and diabetes mellitus.Gol-gi-associated gamma-adaptin ear-containing ADP-ribosylation factor-binding protein 2(GGA2)is a crucial protein in-volved in TGN-endosomal transport.It plays a significant role in the regulation of several diseases,including cancer,Al-zheimer disease,type 2 diabetes mellitus and cerebral ischemia,by mediating protein transport with important biological significance.This article provides an overview of the molecular structure of GGA2,its role in regulating clathrin-mediated protein transport between TGN and endosomes,and its potential implications for a variety of diseases.

Objective To evaluate the short-term clinical effect of arthroscopic repair of rotator cuff injury with all-suture anchor using a prospective and single-cohort clinical trial.Methods Twenty-five patients with rotator cuff injuries(1.5 cm0.05).Conclusion Arthroscopic rotator cuff repair with all-suture anchor is feasible and safe,and has good short-term clinical effect.

Breast cancer （BC） ranks first in the incidence rate of female malignant tumor， the notable features of which include high invasive behavior， high malignant degree and poor prognosis. Resveratrol， a plant antioxidant， has been identified as a potential therapeutic agent for the occurrence and progress of BC. This article explores the mechanism of resveratrol intervention in BC by evaluating several in vitro and in vivo studies. It was found that resveratrol can weaken the proliferation and survival ability of BC cells， suppress their growth， metastasis， and invasion， and reverse their resistance to adriamycin by promoting cell apoptosis， regulating autophagy， inhibiting glycolysis and regulating the tumor microenvironment， expressions of matrix metalloproteinases， epithelial-mesenchymal transition and drug-resistant proteins， etc. The limited number of clinical trial studies on resveratrol， mainly focusing on prevention effect of it on breast cancer， may be one of the reasons that affect the comprehensive evaluation of the anti-cancer efficacy of resveratrol.

Breast cancer （BC） ranks first in the incidence rate of female malignant tumor， the notable features of which include high invasive behavior， high malignant degree and poor prognosis. Resveratrol， a plant antioxidant， has been identified as a potential therapeutic agent for the occurrence and progress of BC. This article explores the mechanism of resveratrol intervention in BC by evaluating several in vitro and in vivo studies. It was found that resveratrol can weaken the proliferation and survival ability of BC cells， suppress their growth， metastasis， and invasion， and reverse their resistance to adriamycin by promoting cell apoptosis， regulating autophagy， inhibiting glycolysis and regulating the tumor microenvironment， expressions of matrix metalloproteinases， epithelial-mesenchymal transition and drug-resistant proteins， etc. The limited number of clinical trial studies on resveratrol， mainly focusing on prevention effect of it on breast cancer， may be one of the reasons that affect the comprehensive evaluation of the anti-cancer efficacy of resveratrol.

【Objective】 To explore a new treatment of primary bilateral macronodular adrenal hyperplasia (PBMAH) and its efficacy. 【Methods】 Clinical data of 20 PBMAH patients treated in our hospital during Mar.2010 and Apr.2021 were retrospectively analyzed. All patients underwent laparoscopic subcutaneous displacement of vascularized adrenal. The clinical symptoms, plasma free cortisol, adrenocorticotrophic hormone (ACTH), and 24 h urinary free cortisol were regularly monitored after surgery. 【Results】 Of all 20 patients, 19 were followed up for 18 to 120 months (median 60 months). Three months after surgery, reexamination showed 1 patient had decreased plasma free cortisol and increased ACTH, but had no symptoms of low corticosteroids. After another 3 months, the plasma free cortisol and ACTH returned to normal. After 4 to 48 months, the parameters recovered in all patients and the clinical symptoms disappeared. 【Conclusion】 Laparoscopic vascularized adrenal displacement is a new and effective method for the treatment of PBMAH. It can alleviate the Cushing syndrome with no obvious adverse reactions.

Objective:To analyze the symmetry of different reference planes in the surgical simulation design of patients with protrusive jaw deformity with high and low eyes.Methods:Fifteen patients with partial jaw deformity were selected from January 2019 to June 2020, including 3 males and 12 females, aged 18-26 years, with average 23.78 years. Inclusion criteria were that the patients, aged more than 18 years, were diagnosed as protrusive jaw deformity with maxillary occlusal plane tilt and high and low eyes by clinical and imaging analysis. Three different 3D reference plane systems were established by different modeling methods. The distance between the landmarks of soft and hard tissues and the median sagittal plane was measured. The symmetry of skull was qualitatively analyzed by mirror image technique. The difference of three reference planes in surgical simulation symmetry of patients with protrusion jaw and high and low eyes was evaluated by one-way ANOVA.Results:Qualitative analysis showed that in the three measurement planes, the symmetry of the third reference plane was the best, and the symmetry of the second and the first was poor. Quantitative analysis showed that in measurement index of hard tissue, there was statistical difference between the distance of each landmark in the reference plane established by Method 3 and Method 1, Method 2 [(1.65±1.19) mm; (3.37±1.58) mm; (3.26±2.36) mm, P<0.05], but there was no statistical difference between Method 1 and Method 2 (P > 0.05). The measurement result of soft tissue was consistent with that of hard tissue, and the distance of each landmark in Method 3 from the median sagittal plane was very small, and the mean error was less than 0.5 mm, which was consistent with the clinical results. Conclusions:Digital model surgery technology can assist orthognathic surgeons in the design and prediction of surgical scheme, especially for patients with special partial jaw deformity.

Objective:To analyze the influencing factors of the medical insurance balance of hospitalization expenses for gastric cancer surgery patients under DRG payment, for reference for promoting the reform of DRG payment in public hospitals and controlling hospitalization expenses reasonably.Methods:The gastric cancer patients enrolled in the gastroenterology department of a tertiary comprehensive hospital from January to July 2022 were selected as the research subjects. The indicators such as patient age, medical insurance balance, hospitalization expenses and their composition were extracted from the hospital information management system and the medical insurance settlement system a certain city. Descriptive analysis was conducted for all data, and stepwise multiple linear regression was used to analyze the influencing factors of patients′ medical insurance balance. Monte Carlo simulation method was used to simulate different combination scenarios of various influencing factors to analyze the probability of medical insurance balance.Results:A total of 205 patients were contained, including 117 in the medical insurance balance group and 88 in the loss group. The difference in hospitalization expenses and medical insurance balance between the two groups of patients were statistically significant ( P<0.05). The intervention of medical insurance specialists, correct DRG enrollment, parenteral nutrition preparation costs, anti infective drug costs, examination costs, and consumables costs were the influencing factors of patient medical insurance balance ( P<0.05). Through Monte Carlo simulation verification, patients with different cost parenteral nutrition preparations, or different anti infective drug schemes had the higher probability of medical insurance balance in the scenario where the medical insurance commissioner intervenes and the DRG enrollment was correct. Conclusions:The hospital adopted interventions from medical insurance specialists to ensure the correct DRG enrollment of patients, accurate use of parenteral nutrition and anti infective drugs, and reasonable control the cost of examinations and consumables, which could increase the probability of medical insurance balance for gastric cancer surgery patients. In the future, hospitals should further promote the procurement of drug consumables in bulk, reduce unnecessary examinations, develop standardized perioperative nutritional interventions and anti infection treatment pathways, ensure the accuracy of DRG enrollment, optimize clinical diagnosis and treatment pathways to improve the efficiency of medical insurance fund utilization and provide high-quality medical services for patients.