Objective:To investigate the clinical distribution and diagnostic value of anti-total phospholipid-antibodies(aTPL) patients with in antiphospholipid syndrome(APS).Methods:We collected the clinical data and laboratory test results of patients diagnosed with APS, systemic lupus erythematosus, Sj?gren′s syndrome, osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, mixed connective tissue disease, and adult Still′s disease in Peking University People′s Hospital from February 2009 to October 2017. A total of 335 cases were studied, of which 163 were APS patients, 122 were disease control(DC) and 50 were health control(HC). Enzyme-linked immunosorbent assay(ELISA) was used to measure aTPL, anti-cardiolipin antibody (aCL), and anti-beta-2-glycoprotein Ⅰ antibody (aβ 2GPⅠ). The Chi-square test was used to compare the differences between groups. Results:The prevalence of aTPL in APS, DC and HC were 39.9%, 3.3%and 2.0% respectively. The sensitivity and specificity were 39.9%, 97.1%. The proportion of thrombosis[75.4%(49/65) vs. 51.0%(50/98), χ2=9.73, P=0.002] and arterial thrombosis[49.2%(32/65) vs. 25.5%(25/98), χ2=9.67, P=0.002] was significantly higher in the aTPL positive group than that of the negative group. In aTPL positive group, the positive rate of aCL[84.6%(55/65) vs.29.6%(29/98), χ2=47.37, P<0.001], aβ 2GPⅠ[83.1%(54/65) vs.37.8%(37/98), χ2=32.55, P<0.001] and LA[61.5%(40/65) vs. 42.9%(42/98), χ2=5.46, P=0.020] was significantly higher than that of negative group.The area under ROC curve (95% CI) of aTPL [0.694(0.636, 0.751)] was slightly higher than that of aCL [0.668(0.610, 0.726)], but lower than that of aβ 2GPⅠ [0.746(0.694, 0.799)]. Conclusion:aTPL exhibits a strong correlation with thrombosis in patients with APS, particularly arterial thrombosis, and demonstrates high specificity, which can assist in the diagnosis of seronegative APS.

Objective:To investigate the clinical distribution and diagnostic value of anti-total phospholipid-antibodies(aTPL) patients with in antiphospholipid syndrome(APS).Methods:We collected the clinical data and laboratory test results of patients diagnosed with APS, systemic lupus erythematosus, Sj?gren′s syndrome, osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, mixed connective tissue disease, and adult Still′s disease in Peking University People′s Hospital from February 2009 to October 2017. A total of 335 cases were studied, of which 163 were APS patients, 122 were disease control(DC) and 50 were health control(HC). Enzyme-linked immunosorbent assay(ELISA) was used to measure aTPL, anti-cardiolipin antibody (aCL), and anti-beta-2-glycoprotein Ⅰ antibody (aβ 2GPⅠ). The Chi-square test was used to compare the differences between groups. Results:The prevalence of aTPL in APS, DC and HC were 39.9%, 3.3%and 2.0% respectively. The sensitivity and specificity were 39.9%, 97.1%. The proportion of thrombosis[75.4%(49/65) vs. 51.0%(50/98), χ2=9.73, P=0.002] and arterial thrombosis[49.2%(32/65) vs. 25.5%(25/98), χ2=9.67, P=0.002] was significantly higher in the aTPL positive group than that of the negative group. In aTPL positive group, the positive rate of aCL[84.6%(55/65) vs.29.6%(29/98), χ2=47.37, P<0.001], aβ 2GPⅠ[83.1%(54/65) vs.37.8%(37/98), χ2=32.55, P<0.001] and LA[61.5%(40/65) vs. 42.9%(42/98), χ2=5.46, P=0.020] was significantly higher than that of negative group.The area under ROC curve (95% CI) of aTPL [0.694(0.636, 0.751)] was slightly higher than that of aCL [0.668(0.610, 0.726)], but lower than that of aβ 2GPⅠ [0.746(0.694, 0.799)]. Conclusion:aTPL exhibits a strong correlation with thrombosis in patients with APS, particularly arterial thrombosis, and demonstrates high specificity, which can assist in the diagnosis of seronegative APS.

Objective Based on running record of hospital track logistics system of a large comprehensive tertiary hospi-tal in Guangdong-Hong Kong-Macao Greater Bay Area,perform statistical analysis and discussion,evaluate the application effect and provide a reference for further optimization of the system operation.Methods Use a directed graph to describe the network topology of the system,establish a multi-commodity flow model,and then select a week during the run-in operation period,nor-mal operation period,and holiday operation period,export the operation log,perform descriptive statistics,X2 test and interval estimation.Results The number of transportation vehicles during the normal operation period increased by 23.94％compared with the running-in operation period.The average transportation time during the running-in operation period,normal operation pe-riod,and holiday operation period were 1 015.63 seconds,1 176.83 seconds,and 1 106.38 seconds respectively;The lowest ranking is afternoon,morning,evening,and early morning;divided by date,the number of transported vehicles on weekdays is higher than that on rest days;the nodes with the largest proportion of sent transported vehicles are the central pharmacy and the inpatient building,and the nodes with the largest proportion of received transported vehicles are the inpatient building and the la-boratory department;the main track carrying relatively heavy transportation tasks is closely related to the important nodes.Conclusion The operation data of the hospital track logistics system should be fully utilized,comprehensive and in-depth analy-sis should be carried out in time,and the application effect should be evaluated,so as to provide a basis for further strengthening the rational allocation and use of related resources.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.

Objective Based on running record of hospital track logistics system of a large comprehensive tertiary hospi-tal in Guangdong-Hong Kong-Macao Greater Bay Area,perform statistical analysis and discussion,evaluate the application effect and provide a reference for further optimization of the system operation.Methods Use a directed graph to describe the network topology of the system,establish a multi-commodity flow model,and then select a week during the run-in operation period,nor-mal operation period,and holiday operation period,export the operation log,perform descriptive statistics,X2 test and interval estimation.Results The number of transportation vehicles during the normal operation period increased by 23.94％compared with the running-in operation period.The average transportation time during the running-in operation period,normal operation pe-riod,and holiday operation period were 1 015.63 seconds,1 176.83 seconds,and 1 106.38 seconds respectively;The lowest ranking is afternoon,morning,evening,and early morning;divided by date,the number of transported vehicles on weekdays is higher than that on rest days;the nodes with the largest proportion of sent transported vehicles are the central pharmacy and the inpatient building,and the nodes with the largest proportion of received transported vehicles are the inpatient building and the la-boratory department;the main track carrying relatively heavy transportation tasks is closely related to the important nodes.Conclusion The operation data of the hospital track logistics system should be fully utilized,comprehensive and in-depth analy-sis should be carried out in time,and the application effect should be evaluated,so as to provide a basis for further strengthening the rational allocation and use of related resources.

Objective:To explore the effectiveness of autologous fat grafting in the treatment of undesirable skin expansion.Methods:Patients' data were reviewed from 2011 to 2016, including the expanded regions with early signs of skin complications in face and neck. The effects of fat grafting group and control group were evaluated by follow-up records of expansion volume, skin thickness, skin texture and local capillary reaction.Results:Fat grafting could increase the thickness of expanded skin. It also improved the texture of expanded skin, with 0.83± 0.71 points before treatment and 1.30±0.66 points after treatment ( P=0.04). The local capillary reaction was also improved from 1.06±0.54 points before treatment and 1.45±0.51 points after treatment ( P=0.03). The expansion in the fat grafting group was 2.21±0.57 times before treatment and 2.94±0.83 times after treatment. In the control group, the expansion was 2.19 times when it showed early signs, and no obvious changes were observed during the follow-up period. Conclusions:Autologous fat grafting can effectively treat complications of skin expansion, prolong expansion process and promote tissue regeneration.

Objective: To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population. Methods: A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves. Results: The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901). Conclusions The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.

Objective: To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population. Methods: The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results: The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99). Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs population.

Objective To investigate the prevalence of metabolic syndrome and appropriate cut-off point of waist circumference of abdominal obesity for components of metabolic syndrome in Uygur population in Xinjiang. Methods A questionnaire-based survey, physical examination, and blood testing were conducted according to cluster random sampling in Uygur residents above 18 years old in Xinjiang.There were 3 542 samples collected,based on the International Diabetes Federation(IDF)standard of metabolic syndrome, the relativities of clustering of metabolic syndrome components and different strata of waist circumference for Uygur were analyzed,and looking for the appropriate cut-off points for identifying two or more components of metabolic syndrome within the shortest distance of receiver operating characteristic(ROC)curve.Results According to IDF standard,the waist circumference(85 cm for men,82 cm for women)corresponded to the shortest distance in ROC curve,at these cut-offs of abdominal obesity for component of metabolic syndrome,the prevalences of metabolic syndrome were 21.3%,19.5%in men, while 23.0%in women,the prevalence of women was higher than that of men(P<0.05).The prevalences of≥1,≥2 components of metabolic syndrome were shown an increasing trend with the increasing size of waist circumference, and the odds ratio of clustering of metabolic syndrome components were also increased significantly.Conclusion The prevalence of metabolic syndrome among Xinjiang Uygur population was higher than that of national level.The cut-off points of waist circumference(85 cm for men,82 cm for women)combining other components definition of IDF standard were recommended for identifying metabolic syndrome of Uygurs.