Objective:To explore the neuroprotective effect of α7 nicotinic acetylcholine receptor (α7nAChR) on rat models of Parkinson's disease (PD) and its underlying mechanism.Methods:Forty-eight 8-week-old SPF-grade SD rats were randomly divided into a normal control group, a PD model group, an α7nAChR empty vector group and an α7nAChR overexpression group, with 12 rats in each group. PD models in the latter 3 groups of rats were established by 6-hydroxydopamine (6-OHDA). Four weeks after modeling, rats in the latter 2 groups were injected with 2 μL α7nAChR overexpression lentivirus or empty vector lentivirus through stereotactic intracerebral injection, while rats in the normal control group did not receive any treatment. Two weeks after injection, the behavioral changes of these rats were detected by apomorphine-induced rotation test; the right substantia nigra pars compacta (SNc) was prepared and performed the following experiments: hematoxylin-eosin (HE) staining and Nissl staining were used to detect the neuron morphological changes, TUNEL was used to detect the neuron apoptosis, fluorescent double labeling was used to detect the expressions of tyrosine hydroxylase (TH) and α-synuclein (α-Syn), ELISA was used to detect the expressions of 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA), and Western blotting was used to detect the expressions of ferroptosis-related proteins (ferritin heavy chain 1 [FTH1], Sigma receptor 1 [S1R], glutathione peroxidase 4 [GPX4], long chain acyl-coa synthetase 4 [ACSL4], solute carrier family 7 member11 [SLC7A11]), and the expressions of proteins related to CAMKII/ERK pathway (phosphorylated calmodulin kinase Ⅱ [p-CAMK Ⅱ], phosphorylated extracellular signal regulated kinase [p-ERK], and phosphorylated Kirsten rat sarcoma viral oncogene homolog [p-KRAS]).Results:(1) Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly larger number of rotations ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly smaller number of rotations ( P<0.05). (2) HE staining and Nissl staining showed that the PD model group had decreased number of dopaminergic neurons and Nissl bodies, accompanied by neuronal distribution disorder, nuclear condensation or swelling; the α7nAChR-overexpression group had obviously improved appearance of dopaminergic neurons, with normal morphology and less cell degeneration. (3) TUNEL results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group, and α7nAChR overexpression group had significantly higher apoptosis rate ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had statistically lower apoptosis rate ( P<0.05). (4) Double immunofluorescent staining results showed that compared with the normal control group (303.61±48.40, 13 985.80±1 956.06), the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased α-Syn expression (4 310.40±518.43, 3 846.60±524.47 and 1 033.55±59.98) and statistically decreased TH expression (760.97±57.26, 842.55±113.41 and 8 101.82±1 171.85) in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased α-Syn expression and increased TH expression in the right SNc ( P<0.05). (5) ELISA results showed that the 4-HNE and MDA expressions in the right SNc of the PD model group, α7nAChR empty vector group and α7nAChR overexpression group were significantly higher than those in the normal control group ( P<0.05); the 4-HNE and MDA expressions in the α7nAChR overexpression group were significantly lower than those in the PD model group ( P<0.05). (6) Western blotting results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly decreased FTH1, S1R, GPX4, and SLC7A11 protein expressions, and statistically increased ACSL4 protein expression in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly increased FTH1, S1R, GPX4, and SLC7A11 protein expressions and decreased ACSL4 protein expression in the right SNc ( P<0.05). Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05). Conclusion:The α7nAChR may exert neuroprotective effect on PD rat models by regulating the CAMKII/ERK pathway and ferroptosis-related proteins.

Objective:To compare the clinical outcomes of immediate breast reconstruction using latissimus dorsi flap with implant versus mesh with implant based on BREAST-Q evaluation.Methods:From the clinical database of the First Affiliated Hospital of Nanjing Medical University, the patients who underwent immediate breast reconstruction after total mastectomy from January 2020 to December 2023 were selected as the research subjects. All breast reconstruction surgeries were performed by the same surgeon. Patients were divided into two groups according to surgical methods: the latissimus dorsi muscle flap combined with implant immediate breast reconstruction group (LD group) and the mesh combined with implant immediate breast reconstruction group (mesh group). Patients were followed up in outpatient clinics or by telephone one year after surgery. The BREAST-Q was used to evaluate the surgical outcomes of both groups from four dimensions: psychosocial well-being, sexual well-being, chest-physical well-being, and breast satisfaction. The score range for each dimension was 0-100, with higher scores indicating greater patient satisfaction with quality of life and surgical outcomes. Statistical analysis was performed using SPSS 22.0 software. Normally distributed measurement data were expressed as Mean ± SD, and comparisons between the two groups were performed using independent sample t-test. Count data were expressed as number of cases and percentages, and comparisons between groups were performed using chi-square test or Fisher’s exact test. P<0.05 was considered statistically significant. Results:A total of 123 patients were included, with 59 patients in the LD group and 64 patients in the mesh group. In the LD group, the mean age was (37.7±7.0) years, body mass index (BMI) was (22.6±2.6) kg/m 2, and clinical tumor staging showed 2, 22, 30, and 5 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. In the mesh group, the mean age was (39.1±7.0) years, BMI was (22.6±2.8) kg/m 2, and clinical tumor staging showed 1, 25, 38, and 0 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. There were no statistically significant differences between the two groups in baseline characteristics including age, BMI, and clinical tumor staging (all P>0.05). One year after surgery, the BREAST-Q result showed no statistically significant differences between the LD group and mesh group in psychosocial well-being [(83.0±19.8) points vs. (80.8±19.3) points] and sexual well-being [(62.1±30.4) points vs. (65.8±25.6) points] (all P>0.05). However, the LD group had lower chest-physical well-being scores than the mesh group [(40.6±9.7) points vs. (45.1±9.6) points, P<0.05], while breast satisfaction scores were higher in the LD group than in the mesh group [(68.0±17.8) points vs. (59.8±12.6) points, P<0.01]. Conclusion:Immediate breast reconstruction by both latissimus dorsi flap with implant and mesh with implant can improve patients’ psychosocial and sexual well-being by enhancing breast appearance. However, LD technique provides better breast satisfaction, while the mesh technique offers advantages in physical well-being of the chest wall and upper body. Surgeons should select the most appropriate breast reconstruction technique based on patients’ anatomical conditions, treatment history, and individual needs to optimize postoperative quality of life and satisfaction.

ObjectiveTo understand the development stages and use of policy tools of general practitioner policies in China since it was first proposed, to summarize the experience and explore the shortcomings, so as to provide references for the adjustment and optimization of China’s general practitioner policies. MethodsContent analysis and mathematical statistics analysis were used to conduct a quantitative research on 111 policy documents with 422 policy items involving general practitioners at the national level from 1997 to 2023, through a three-dimensional analysis framework integrating policy tools, human capital process and policy development stages. ResultsCapacity‑building policy tools were most frequently used in general practitioner policies, and the policy tools gradually shifted from mandate to inducement. The general practitioner policies paid less attention to the career selection link, but paid full attention to every segment of human capital links, with a comprehensive application of policy tools observed in the integrated development stage, despite the existence of unbalanced internal distribution. ConclusionIt is suggested to promote the use of incentive policy tools and to explore multiple approaches based on incentive theory; pay attention to the career selection link for guiding the employment of general practitioners; take the appropriateness between the policy tools and human capital process into comprehensive consideration, striking a dynamic balance of the internal structure of general practitioner policies.

ObjectiveTo analyze the characteristics of policy texts related to the physician periodic assessment system in China, providing references for the improvement of the system. MethodsContent analysis was employed, examining 116 policy documents from three dimensions: policy process, policy themes, and policy tools. ResultsA total of 298 codes were obtained. The number of policies related to the periodic assessment of physicians showed an overall trend of increasing first and then decreasing, with the peak annual issuance period between 2011 and 2021, and the average number of policy texts showing a downward trend. Policy documents were summarized into 3 levels: physician periodic assessment work, individual behavior, and institutional systems, encompassing a total of 8 categories of themes. The proportion of supply-oriented, environmental-oriented, and demand-oriented policy tools were 4.03%, 60.40%, and 35.57%, respectively. Moreover, environmental-oriented tools continued to dominate over time, followed by demand-oriented tools, with supply-oriented tools being the least. ConclusionThe policy themes are relatively broad and difficult to implement, focusing on establishing regulations while neglecting resource provision, and failing to continuously improve the construction of the system. It is recommended to clearly define the scope of the periodic assessment management, improve supporting systems, increase resource supply, and continuously promote the execution of assessments and policy revisions.

Objective:To explore the neuroprotective effect of α7 nicotinic acetylcholine receptor (α7nAChR) on rat models of Parkinson's disease (PD) and its underlying mechanism.Methods:Forty-eight 8-week-old SPF-grade SD rats were randomly divided into a normal control group, a PD model group, an α7nAChR empty vector group and an α7nAChR overexpression group, with 12 rats in each group. PD models in the latter 3 groups of rats were established by 6-hydroxydopamine (6-OHDA). Four weeks after modeling, rats in the latter 2 groups were injected with 2 μL α7nAChR overexpression lentivirus or empty vector lentivirus through stereotactic intracerebral injection, while rats in the normal control group did not receive any treatment. Two weeks after injection, the behavioral changes of these rats were detected by apomorphine-induced rotation test; the right substantia nigra pars compacta (SNc) was prepared and performed the following experiments: hematoxylin-eosin (HE) staining and Nissl staining were used to detect the neuron morphological changes, TUNEL was used to detect the neuron apoptosis, fluorescent double labeling was used to detect the expressions of tyrosine hydroxylase (TH) and α-synuclein (α-Syn), ELISA was used to detect the expressions of 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA), and Western blotting was used to detect the expressions of ferroptosis-related proteins (ferritin heavy chain 1 [FTH1], Sigma receptor 1 [S1R], glutathione peroxidase 4 [GPX4], long chain acyl-coa synthetase 4 [ACSL4], solute carrier family 7 member11 [SLC7A11]), and the expressions of proteins related to CAMKII/ERK pathway (phosphorylated calmodulin kinase Ⅱ [p-CAMK Ⅱ], phosphorylated extracellular signal regulated kinase [p-ERK], and phosphorylated Kirsten rat sarcoma viral oncogene homolog [p-KRAS]).Results:(1) Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly larger number of rotations ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly smaller number of rotations ( P<0.05). (2) HE staining and Nissl staining showed that the PD model group had decreased number of dopaminergic neurons and Nissl bodies, accompanied by neuronal distribution disorder, nuclear condensation or swelling; the α7nAChR-overexpression group had obviously improved appearance of dopaminergic neurons, with normal morphology and less cell degeneration. (3) TUNEL results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group, and α7nAChR overexpression group had significantly higher apoptosis rate ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had statistically lower apoptosis rate ( P<0.05). (4) Double immunofluorescent staining results showed that compared with the normal control group (303.61±48.40, 13 985.80±1 956.06), the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased α-Syn expression (4 310.40±518.43, 3 846.60±524.47 and 1 033.55±59.98) and statistically decreased TH expression (760.97±57.26, 842.55±113.41 and 8 101.82±1 171.85) in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased α-Syn expression and increased TH expression in the right SNc ( P<0.05). (5) ELISA results showed that the 4-HNE and MDA expressions in the right SNc of the PD model group, α7nAChR empty vector group and α7nAChR overexpression group were significantly higher than those in the normal control group ( P<0.05); the 4-HNE and MDA expressions in the α7nAChR overexpression group were significantly lower than those in the PD model group ( P<0.05). (6) Western blotting results showed that compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly decreased FTH1, S1R, GPX4, and SLC7A11 protein expressions, and statistically increased ACSL4 protein expression in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly increased FTH1, S1R, GPX4, and SLC7A11 protein expressions and decreased ACSL4 protein expression in the right SNc ( P<0.05). Compared with the normal control group, the PD model group, α7nAChR empty vector group and α7nAChR overexpression group had significantly increased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05); compared with the PD model group, the α7nAChR overexpression group had significantly decreased p-KRAS, p-CAMKII, and p-ERK protein expressions in the right SNc ( P<0.05). Conclusion:The α7nAChR may exert neuroprotective effect on PD rat models by regulating the CAMKII/ERK pathway and ferroptosis-related proteins.

Objective:To compare the clinical outcomes of immediate breast reconstruction using latissimus dorsi flap with implant versus mesh with implant based on BREAST-Q evaluation.Methods:From the clinical database of the First Affiliated Hospital of Nanjing Medical University, the patients who underwent immediate breast reconstruction after total mastectomy from January 2020 to December 2023 were selected as the research subjects. All breast reconstruction surgeries were performed by the same surgeon. Patients were divided into two groups according to surgical methods: the latissimus dorsi muscle flap combined with implant immediate breast reconstruction group (LD group) and the mesh combined with implant immediate breast reconstruction group (mesh group). Patients were followed up in outpatient clinics or by telephone one year after surgery. The BREAST-Q was used to evaluate the surgical outcomes of both groups from four dimensions: psychosocial well-being, sexual well-being, chest-physical well-being, and breast satisfaction. The score range for each dimension was 0-100, with higher scores indicating greater patient satisfaction with quality of life and surgical outcomes. Statistical analysis was performed using SPSS 22.0 software. Normally distributed measurement data were expressed as Mean ± SD, and comparisons between the two groups were performed using independent sample t-test. Count data were expressed as number of cases and percentages, and comparisons between groups were performed using chi-square test or Fisher’s exact test. P<0.05 was considered statistically significant. Results:A total of 123 patients were included, with 59 patients in the LD group and 64 patients in the mesh group. In the LD group, the mean age was (37.7±7.0) years, body mass index (BMI) was (22.6±2.6) kg/m 2, and clinical tumor staging showed 2, 22, 30, and 5 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. In the mesh group, the mean age was (39.1±7.0) years, BMI was (22.6±2.8) kg/m 2, and clinical tumor staging showed 1, 25, 38, and 0 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. There were no statistically significant differences between the two groups in baseline characteristics including age, BMI, and clinical tumor staging (all P>0.05). One year after surgery, the BREAST-Q result showed no statistically significant differences between the LD group and mesh group in psychosocial well-being [(83.0±19.8) points vs. (80.8±19.3) points] and sexual well-being [(62.1±30.4) points vs. (65.8±25.6) points] (all P>0.05). However, the LD group had lower chest-physical well-being scores than the mesh group [(40.6±9.7) points vs. (45.1±9.6) points, P<0.05], while breast satisfaction scores were higher in the LD group than in the mesh group [(68.0±17.8) points vs. (59.8±12.6) points, P<0.01]. Conclusion:Immediate breast reconstruction by both latissimus dorsi flap with implant and mesh with implant can improve patients’ psychosocial and sexual well-being by enhancing breast appearance. However, LD technique provides better breast satisfaction, while the mesh technique offers advantages in physical well-being of the chest wall and upper body. Surgeons should select the most appropriate breast reconstruction technique based on patients’ anatomical conditions, treatment history, and individual needs to optimize postoperative quality of life and satisfaction.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective To describe the outcomes of extracorporeal membrane oxygenation (ECMO) for patients after aortic surgery and to summarize the experience. Methods The clinical data of patients who received ECMO support after aortic surgery in Fuwai Hospital from 2009 to 2020 were retrospectively analyzed. The patients who received an aortic dissection surgery were allocated into a dissection group, and the other patients were allocated into a non-dissection group. The in-hospital and follow-up survival rates were compared between the two groups, and the causes of death were analyzed. Results A total of 22 patients were enrolled, including 17 patients in the dissection group [13 males and 4 females, with a median age of 54 (46, 61) years] and 5 patients in the non-dissection group [3 males and 2 females, with a median age of 51 (41, 65) years]. There was no statistical difference in the age and gender between the two groups (P>0.05). The in-hospital survival rate (11.8% vs. 100.0%, P=0.001) and follow-up survival rate (11.8% vs. 80.0%, P=0.009) of the patients in the dissection group were significantly lower than those in the non-dissection group. The causes of death in the dissection group included massive bleeding and disseminated intravascular coagulation (3 patients), ventricular thrombosis (1 patient), irreversible brain injury (2 patients), visceral malperfusion syndrome (4 patients) and irreversible heart failure (5 patients). Conclusion ECMO after aortic dissection surgery is associated with high mortality, which is related to the pathological features of aortic dissection and severely disrupted coagulation system after the surgery. For these patients, strict indication selection and optimal management strategy are important.