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*

Background Industrial emissions are a well-established major source of urban fine particulate matter (PM_2.5) and associated heavy metals. To improve local air quality, Shanghai No. 1 Iron and Steel Plant in Baoshan District was entirely relocated, with all production lines successively shut down in 2018. Objective To evaluate the trends in PM_2.5 and three heavy metal concentrations - chromium (Cr), mercury (Hg), and thallium (Tl) —in the local atmosphere pre- and post- relocation of the steel plant. Methods Taking the steel plant relocation in 2019 as the intervention cutoff point, this study was divided into two phases: pre-intervention (January 2017 to December 2018) and post-intervention (January 2019 to December 2021). Monthly mean pollutant concentrations were used to construct an interrupted time series (ITS) model, followed by segmented linear regression to assess the pre- and post-intervention trends in ambient PM_2.5 and three heavy metals surrounding thesteel plant. Results The ITS regression analysis revealed that the change in PM_2.5 concentration (b₂) after the intervention was −7.16 μg·m⁻³, while the changes in Cr, Hg, and Tl concentrations (b₂) were −0.46, −0.03, and −0.06 ng·m⁻³, respectively. Prior to the intervention, PM_2.5 mass concentrations exhibited a temporal decline with a slope of b₁ = –0.69 (P<0.05); seasonal adjustment further strengthened the overall significance of the model. Before the intervention, the concentration of Cr increased over time, with a slope of b₁=0.12 (P<0.05). After the intervention, the concentration of Cr showed a gradual downward trend over time, with a slope (b₁ + b₃) of −0.04, and significant seasonal variations were observed. The concentration of Hg decreased over time before the intervention, with a slope of b₁=−0.0029 (P<0.05). After the intervention, the slope was −0.0003, showing a further slow decline in Hg concentration over time. However, no significant seasonal trend was observed for Hg. The mass concentration of Tl decreased after the intervention, and the difference before and after the intervention was statistically significant (P<0.05). PM_2.5, Cr, and Tl better fit to the seasonal model, whereas Hg showed a better fit to the non-seasonal model. Conclusion The steel plant relocation intervention has markedly improved local air quality.

Objective To explore the risk factors of complicating urogenic sepsis after percutaneous nephrolithotripsy(PCNL)and construct a nomogram prediction model.Methods The data of 291 patients with stage 1 PCNL in 940 Hospital of Joint Logistics Support Force from October 2016 to October 2021 were retrospectively analyzed.The patients were divided into the sepsis group and non-sepsis group according to whether complicating urogenic sepsis after operation.The general data,stone-related data,operation-related data and laboratory detection related data were included.The independent risk factors were screened by the univariate and multivariate logistic regression analysis,and the nomogram prediction model was constructed.Results The results of univariate and multivariate logistic regression analysis showed that age≥60 years old(OR=6.438,95％CI:1.548-26.769),urinary leukocyte 3+(OR=5.651,95％CI:1.614-31.766),urinary nitrite positive(OR=7.117,95％CI:1.190-42.561),operation time≥90 min(OR=4.626,95％CI:1.137-18.817)and perfusion volume 30 L(OR=3.312,95％CI:1.090-10.061)were the independent risk factors of postoperative complicating urogenic sepsis.C-index of the constructed nomogram prediction model in the modeling samples was 0.937,the calibrated C-index was 0.914,and the model predictive efficien-cy was good.Conclusion Age ≥60 years old,urinary leukocyte 3+,urinary nitrite positive,operation time 90 min and perfusion volume ≥30 L are the independent risk factors for complicating urogenic sepsis after PCNL;the constructed nomogram prediction model has a good predictive efficiency for the occurrence of post-operative urogenic sepsis.

Objective To explore the diagnosis and treatment method of peripelvic cysts.Methods A retrospective analysis was conducted on 65 patients with peripelvic cysts admitted to the Department of Urology at Shanghai Xuhui Central Hospital from January 2019 to January 2023.The diagnostic value of ultrasound,intravenous urography(IVU),and computed tomography urography(CTU)for peripelvic cysts was compared,and the efficacy of different surgical treatments for peripelvic cysts was further evaluated.Results All 65 patients underwent ultrasound examination,which indicated cystic lesions at the renal hilum.55 patients underwent IVU examination,but no cyst enhancement was found.Among them,7 patients underwent retrograde pyelography due to poor imaging of the affected renal pelvis.All 53 patients who underwent CTU examination,which clearly showed the renal pelvis and cysts.Among the 65 patients,5 did not undergo surgical treatment and were followed up,while 60 underwent surgery.Four patients were considered for radical nephrectomy due to suspected malignancy.56 cases underwent renal cysts decompression surgery,including 11 open surgeries,37 laparoscopic surgeries,and 8 Da Vinci robot-assisted laparoscopic surgeries.The operative time in the open surgery group was significantly shorter than that in the laparoscopic surgery group and robot-assisted laparoscopic surgery group.Compared with the open surgery group and laparoscopic surgery group,the robot-assisted laparoscopic surgery group had less intraoperative blood loss,lower postoperative analgesic use,shorter time to first ambulation after surgery,and shorter hospital stay.Conclusions Ultrasound,IVU,and CTU are commonly used effective diagnostic tools for peripelvic cysts.Ultrasound can be used as a routine examination,while CTU is more accurate and has a higher diagnostic accuracy than IVU for this condition.Compared with open surgery,laparoscopic and robot-assisted laparoscopic cyst decompression surgery for peripelvic cysts result in less intraoperative blood loss and faster postoperative recovery.

Objective To evaluate the clinical efficacy of kissing-stent implantation in the treatment of chronic iliac-vena cava occlusion.Methods The clinical data of 22 patients with chronic iliac-vena cava occlusion,who received kissing-stent implantation,were retrospectively analyzed.The surgical success rate and the procedure-related complications were recorded,the postoperative 3-,6-and 12-month stent patency rates were calculated,and the postoperative 6-month Villalta score was compared with its preoperative value.Results The technical success rate of kissing-stent implantation was 100％.No procedure-related surgical complications occurred.The postoperative 3-,6-and 12-month stent patency rates were 95.5％,90.9％and 86.1％respectively.The postoperative 6-month Villalta score was(12.14±2.80)points,which was remarkably lower than preoperative(20.91±3.16)points,the difference was statistically significant(P＜0.05).Conclusion The implantation of kissing-stent can successfully reconstruct iliac-vena cava with satisfactory short-term efficacy for chronic iliac-vena cava occlusion.

Objective To establish a clinical-CT model,and to observe its value for evaluating lymphovascular invasion(LVI)and/or perineural invasion(PNI)in esophageal squamous cell carcinoma(ESCC).Methods Data of 156 ESCC patients were retrospectively analyzed.The patients were divided into positive group(n=58,LVI[+]and/or PNI[+])and negative group(n=98,LVI[-]and PNI[-])according to postoperative pathological results.Clinical and CT data were compared between groups.Logistic regression analysis was performed to establish a model,and its efficacy of evaluating ESCC LVI and/or PNI was analyzed.Results Significant differences of carcinoembryonic antigen(CEA),carbohydrate antigen 199(CA199),tumor thickness,tumor volume and CT venous phase value(CTV),the difference between CTV and CT plain phase value(CTP)(△CTV-P)and venous phase enhancement rate(V％)were found between groups(all P＜0.05),and the area under the curve(AUC)of the above parameters for evaluating ESCC LVI and/or PNI was 0.702,0.690,0.731,0.744,0.621,0.631 and 0.599,respectively.CEA,CA199,tumor thickness,tumor volume and CTV were all independent predictive factors for ESCC LVI and/or PNI.A combined model was established based on the above features,and its accuracy,sensitivity and specificity for evaluating ESCC LVI and/or PNI was 82.05％,65.52％and 91.84％,respectively,with AUC of 0.838,higher than that of each single parameter(all P＜0.05).Conclusion The established clinical-CT model could effectively evaluate ESCC LVI and/or PNI.

Objective:To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns.Methods:Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development.Results:Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: OR=1.33, 95% CI: 1.03-1.71; high LDL-C: OR=1.35, 95% CI: 1.05-1.75; low HDL-C: OR=1.45, 95% CI: 1.19-1.77; high TG: OR=1.50, 95% CI: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed ( P for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias ( OR=2.02, 95% CI: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C ( OR=3.54, 95% CI: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. Conclusions:A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.

Objective To compare conventional MRI manifestations of brain epithelioid glioblastoma(eGBM)and pleomorphic xanthoastrocytoma(PXA),and to explore the value of radiomics model for differentiating eGBM and PXA.Methods Forty-three cases of brain eGBM(eGBM group)and 79 cases of PXA(PXA group)confirmed by surgical pathology were retrospectively analyzed,and conventional MRI maniofestations were compared between groups.The patients were divided into training set(n=85,including 30 cases of eGBM and 55 cases of PXA)and test set(n=37,including 13 cases of eGBM and 24 cases of PXA)at the ratio of 7∶3.A radiomics regression model was established based on T2WI and enhanced T1WI.Receiver operating characteristic curve was drawn to assess the value of the model for discriminating eGBM and PXA.Results Patients in eGBM group were older than in PXA group,and the proportion of minors in eGBM group was lower than that in PXA group(both P＜0.05).Compared with PXA group,eGBM group showed higher proportion of multiple lesions,with high T1WI signals and peritumoral edema,more unclear boundary and uneven signals(all P＜0.05).After administration of contrast agents,circular enhancement was more often observed in eGBM group,while lesions in PXA group tended to present wall nodule enhancement(both P＜0.05).The sensitivity,specificity,accuracy and area under the curve(AUC)of the radiomics model based on 19 selected features was 88.91％,79.94％,86.75％and 0.892 in training set,respectively,which was 84.58％,79.20％,81.12％and 0.824 in test set,respectively.Conclusion Conventional MRI manifestations of eGBM and PXA were different to a certain extent.Radiomics model was valuable for distinguishing eGBM and PXA.

Objective To search and evaluate the relevant evidence of blood purification and anticoagulant management of perioperative liver transplantation patients,and to summarize the best evidence,so as to provide evidence-based evidence for clinical blood purification and anticoagulant management practice.Methods Evidence-based questions were determined.Systematic search was conducted on relevant domestic and foreign databases and websites for clinical decisions,guidelines,evidence summaries,system evaluations,and expert consensuses related to blood purification anticoagulation management.The retrieval period is from the establishment to May 2,2023.Literature screening,quality evaluation and evidence summary were conducted by 2 researchers.Results A total of 17 articles were included,including 2 clinical decisions,3 guidelines,2 evidence summaries,4 systematic evaluations and 6 expert consensuses.24 pieces of best evidence were summarized from 6 dimensions,including coagulation function evaluation,anticoagulant strategy,mode selection,vascular access,standardized operation implementation points and personnel organization management.Conclusion The best evidence was summarized in the study on perioperative blood purification and anticoagulant management of liver transplantation,which can provide evidence-based basis for clinical medical staff to implement anticoagulant management.However,it is necessary to further carry out evidence-based practice of perioperative blood purification and anticoagulant management of liver transplantation to verify its anticoagulation effect and nursing safety in clinical practice.

Objective:To explore the mechanism of peritoneal dialysis solution (PDS)-induced peritoneal microinflammation through activation of ceramide (CER) in peritoneal dialysis model mice.Methods:Thirty 5-week-old male C57BL/6 mice weighing about 22 g were used to set up peritoneal dialysis models, and then were randomly divided into 4 groups: sham operation group (1.5 ml sterilized water, n=7), high glucose-PDS group (1.5 ml 4.25% PDS, n=8), high glucose-PDS+ acid sphingomyelinase (ASMase) inhibitor desipramine (DES) group (1.5 ml sterilized water+10 mg/kg DES, n=8), high glucose-PDS+Src kinase inhibitor PP2 group (1.5 ml sterilized water +1 mg/kg PP2, n=7), with intraperitoneal injection once a day. After 28 days, the mice were sacrificed to retain peritoneal tissues. HE staining and Masson staining were used to observe the histological changes of peritoneum. Immunohistochemistry was used to detect the Toll-like receptor 4 (TLR4) and macrophages. High performance liquid chromatography, liquid chromatography/mass spectrometry and immunofluorescence were used to detect the expression of ASMase and CER. Real-time quantitative PCR was used to detect the mRNA levels of c-Src, p-Src, interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α). Western blotting was used to detect the protein levels of c-Src, and p-Src. Enzyme-linked immunosorbent assay was used to detect the serum C reactive protein (CRP), IL-6 and TNF-α. Results:(1) High glucose-PDS led to peritoneal hyperplasia, collagen deposition and fibrosis in the peritoneal dialysis mice, indicating successful modeling. Compared with high glucose-PDS group, peritoneal hyperplasia, collagen deposition and fibrosis of mice treated with DES and PP2 were significantly improved (all P<0.05). (2) Compared with sham operation group, ASMase activation and CER level of peritoneal tissues were significantly higher in high glucose-PDS group, and DES could significantly inhibit activated ASMase and increased CER expression caused by high glucose-PDS (both P<0.05). PP2 had no significant effect on ASMase activation and CER level (both P>0.05). (3) Compared with sham operation group, there were more TLR4 and macrophage positive staining cells in peritoneal tissues in high glucose-PDS group, and the mRNA expression levels of IL-6 and TNF-α in peritoneal tissues and serum CRP, IL-6 and TNF-α were higher (all P<0.05). DES and PP2 could significantly inhibit the increased TLR4, macrophages and related inflammatory factors induced by high glucose-PDS (all P<0.05). (4) Compared with sham operation group, c-Src and p-Src mRNA and protein expression levels of peritoneal tissues in high glucose-PDS group were significantly higher (all P<0.05). PP2 significantly inhibited the increased p-Src mRNA and protein levels caused by high glucose-PDS (both P<0.05), but had no significant effect on the mRNA and protein expression levels of c-Src (both P>0.05). DES had no significant effect on the mRNA and protein expression levels of c-Src and p-Src (all P>0.05). Conclusions:High glucose-PDS may enhance the expression of CER through stimulating the activity of ASMase, phosphorylate Src, activate TLR4 and induce inflammatory damage of peritoneum in peritoneal dialysis model mice.