Objective To understand the challenges faced by elderly patients with multiple chronic conditions in community settings during the process of disease management,and to provide a basis for developing intervention strategies for managing comorbidities in the elderly.Methods A phenomenological research approach was adopted,using purposive sampling.From July to October 2024,16 elderly patients with multiple chronic conditions from 5 community service centers in Shenzhen were selected as study participants.Semi-structured in-depth interviews were conducted,and the interview data were analyzed using Colaizzi's seven-step method.Results Totally 4 themes and 8 sub-themes were extracted,including the disorder of multi-source health information structure and environment(insufficient systematic integration of health guidance,uneven quality of knowledge under multiple information channels),the exhaustion of self-management efficacy among chronic disease patients(the coexistence of multiple diseases aggravates the burden of physical and mental symptoms;negative emotions weaken the efficacy of active management),the absence of an integrated management mechanism for multiple diseases(repeated medical visits lead to poor treatment experience;multiple medications pose potential health risks),and the lack of in-depth and dynamic social support practices(formal operation of community support systems,family support facing the dilemma of filial piety and control).Conclusion Elderly patients with multiple chronic conditions in community settings face numerous challenges in disease management.Current chronic disease management in China primarily focuses on single diseases.It is recommended that healthcare professionals shift their perspective,improve the identification,assessment,nursing,and treatment of comorbidities in the elderly,and provide integrated chronic disease management approaches.This would enable a"one-stop"solution to the management challenges of multimorbidity in elderly patients,thereby enhancing their quality of life.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.

Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.

Objective To understand the challenges faced by elderly patients with multiple chronic conditions in community settings during the process of disease management,and to provide a basis for developing intervention strategies for managing comorbidities in the elderly.Methods A phenomenological research approach was adopted,using purposive sampling.From July to October 2024,16 elderly patients with multiple chronic conditions from 5 community service centers in Shenzhen were selected as study participants.Semi-structured in-depth interviews were conducted,and the interview data were analyzed using Colaizzi's seven-step method.Results Totally 4 themes and 8 sub-themes were extracted,including the disorder of multi-source health information structure and environment(insufficient systematic integration of health guidance,uneven quality of knowledge under multiple information channels),the exhaustion of self-management efficacy among chronic disease patients(the coexistence of multiple diseases aggravates the burden of physical and mental symptoms;negative emotions weaken the efficacy of active management),the absence of an integrated management mechanism for multiple diseases(repeated medical visits lead to poor treatment experience;multiple medications pose potential health risks),and the lack of in-depth and dynamic social support practices(formal operation of community support systems,family support facing the dilemma of filial piety and control).Conclusion Elderly patients with multiple chronic conditions in community settings face numerous challenges in disease management.Current chronic disease management in China primarily focuses on single diseases.It is recommended that healthcare professionals shift their perspective,improve the identification,assessment,nursing,and treatment of comorbidities in the elderly,and provide integrated chronic disease management approaches.This would enable a"one-stop"solution to the management challenges of multimorbidity in elderly patients,thereby enhancing their quality of life.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the value of conventional ultrasound combined with shear wave elastography (SWE) in the differential diagnosis of non-mass ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC) . Methods:A total of 102 patients with non-mass breast cancer admitted to Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from March 2019 to April 2022 were selected as the study objects, including 32 cases of DCIS and 70 cases of IBC. Conventional ultrasound parameters echo, microcalcification, location, posterior echo, blood flow, axillary lymph node, breast imaging reporting and data system (BI-RADS) score and SWE-related parameters maximum shear wave velocity (SWV max), minimum shear wave velocity (SWV min), mean shear wave velocity (SWV mean) and median shear wave velocity (SWV median) were compared between patients with non-mass DCIS and IBC. Binary logistic regression was used to analyze the independent factors for the differential diagnosis of non-mass DCIS and IBC. Based on the results of multivariate analysis, a nomogram prediction model was constructed and the predictive efficacy of the prediction model was evaluated by receiver operator characteristic (ROC) curve. Calibration curve and decision curve analysis (DCA) were used to evaluate the accuracy and practicability of the model. Results:There were statistically significant differences in blood flow ( χ2=8.47, P=0.004), axillary lymph nodes ( χ2=9.11, P=0.003), SWV max ( Z=-3.32, P<0.001), SWV mean ( t=3.00, P=0.003), SWV median ( Z=-2.69, P=0.007) between patients with non-mass DCIS and IBC. Multivariate analysis showed that, blood flow ( OR=3.56, 95% CI: 1.28-9.89, P=0.015), axillary lymph nodes ( OR=3.04, 95% CI: 1.10-8.42, P=0.032) and SWV max ( OR=1.40, 95% CI: 1.13-1.73, P=0.002) were independent factors for distinguishing non-mass DCIS from IBC. A nomogram prediction model was constructed based on blood flow, axillary lymph nodes and SWV max. ROC curve analysis showed that, the area under the curve of blood flow, axillary lymph nodes, SWV max, and prediction model for differential diagnosis of non-mass DCIS and IBC were 0.64 (95% CI: 0.52-0.76), 0.66 (95% CI: 0.55-0.77), 0.71 (95% CI: 0.60-0.81), and 0.79 (95% CI: 0.70-0.88), respectively, and the differential diagnostic value of prediction model was higher than that of blood flow ( Z=2.92, P=0.004), axillary lymph nodes ( Z=2.94, P=0.003), and SWV max ( Z=1.88, P=0.060) alone. The C-index of the prediction model for the differential diagnosis of non-mass DCIS and IBC was 0.77, and the calibration curve showed that the prediction probability of the prediction model was close to the actual probability. DCA showed that this prediction model could provide higher clinical net benefit and had certain clinical practicability. Conclusion:Blood flow and axillary lymph nodes in conventional ultrasound parameters and SWV max of SWE-related parameters are independent factors in the differential diagnosis of non-mass DCIS and IBC. The nomogram prediction model constructed by this method has a high value in the differential diagnosis of non-mass DCIS and IBC.

Methods:From Jan 2019 to Nov 2021, 20 patients underwent 3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique and branched stents for the EVAR at the three hospitals. The clinical data patients were collected and analyzed.Results:All the 20 cases underwent 3D printed template assisted pre-fenestration of stent graft according to the data of pre-operative the computed tomographic angiography (CTA). EVAR was successfully performed in all patients(included 2 cases with one fenestration,5 cases with 2 fenestration,10 cases with 3 fenestration and 3 cases with 4 fenestration). Fifty-four reinforced fenestrations (20 in right renal artery, 18 in left renal artery, 13 in superior mesenteric artery and 3 in celiac artery) were performed. During the follow-up period (mean 14.6 months), 1 case died, and the one-stage patency rate of splanchnic artery branch stent was 98.1%. Four patients had endoleak, 1 patient died of intracranial hemorrhage during postoperative period. None of patients had postoperative paraplegia or organ ischemia.Conclusions:3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique is feasible for EVAR in the treatment of complex abdominal aortic aneurysms and dissections. The technique is capable to reinforce the blood supply of visceral arteries with satisfied short-term effectiveness.Ojective:To evaluate 3D printed template assisted pre-fenestration of stent graft with reducing-diameter tie technique and branched stents for the endovascular aortic aneurysm repair (EVAR).