Objective: To explore the application effectiveness of healthcare failure mode and effect analysis (HFMEA) in optimizing intelligent blood logistics transport pathways for safety assurance. Methods: Data from 1 851 cases of intelligent blood logistics transport were collected between September 2023 and March 2025. Based on the implementation phases of HFMEA measures, the cases were divided into a control group (n=120), observation group 1 (n=219), and observation group 2 (n=1 512). Through systematic analysis of the transport processes, hazard scoring and decision tree analysis were conducted for each process, and phased optimization measures were implemented for high-risk failure modes. Results: The transport duration of intelligent blood logistics was 35.5 (20.8, 71.1) min in the control group, 25.1 (10.9, 40.7) min in observation group 1, and 9.9 (4.2, 44.5) min in observation group 2. Observation group 2 exhibited significantly shorter transport time compared to both observation group 1 and the control group, with statistically significant differences between groups (P<0.000 1). Conclusion: The implementation of HFMEA-driven measures significantly reduced intelligent blood logistics transport duration, thereby fostering the evolution of smart hospital ecosystems while enhancing healthcare service quality and operational efficiency.

Objective: To evaluate the practical effectiveness of confidential unit exclusion (CUE) in ensuring blood safety in Zhengzhou, analyze its application characteristics and existing problems, and provide a basis for optimizing blood safety management strategies. Methods: A retrospective analysis was conducted on CUE data handled by Henan Red Cross Blood Center from January 2019 to December 2024. Parameters such as the number of cases, demographic characteristics, reasons for exclusion, and time of report were statistically analyzed and compared with those of non-CUE. Results: From 2019 to 2024, the CUE reporting rate in Zhengzhou was 0.002 6% (40/1 547 666). CUE donors were predominantly male (65.00%, 26/40), aged 18-34 years (47.50%, 19/40), had college degree orabove (50.00%, 20/40), and were employees of enterprises or public institutions (32.50%, 13/40). Among the 40 CUE blood units, only one was reactive for anti-TP, while all others were qualified. The main reasons for CUE were recent vaccination (32.50%, 13/40), medical conditions unsuitable for donation (27.50%, 11/40), and high-risk sexual behavior (17.50%, 7/40). A total of 70.00% of reports occurred within 24 hours after donation, during which none of the corresponding blood units had been released; all units reported after more than 7 days had already been issued for clinical use, with no adverse transfusion reactions reported upon follow-up. Conclusion: The confidential unit exclusion program has played an active role in establishing a supplementary information feedback channel for blood donors. The procedure can be optimized by strengthening interactive communication and confirmation before donation, improving the accuracy of donors' self-assessment, and expanding convenient and rapid information-based reporting channels.

Objective: To establish a radio frequency identification (RFID) technology-based emergency release process of uncrossmatched type O red blood cells for trauma patients, thereby providing a reference method for blood inventory management. Methods: The medical records of uncrossmatched type O red blood cell suspension released from Jan 2023 to Dec 2024 were retrospectively analyzed. The pre-implementation (2023, n=23) and post-implementation (2024, n=19) data of the RFID technology-based emergency uncrossmatched transfusion management method were compared to evaluate its effectiveness. Results: During the study period, 42 patients received a total of 92 units uncrossmatched type O red blood cell suspensions in emergency, with no case of hemolytic transfusion reactions reported. Traffic accidents were the primary cause of emergency uncrossmatched transfusion, accounting for 66.7% (28/42) of cases. The patients in observation group were significantly older than those in the control group (60.58y vs 48y, P<0.05), with a trend toward more critical trauma conditions (84.2% vs 56.5%, P=0.053). Among 29 critically injured patients, the blood release time in the observation group was significantly shorter than that in the control group (2 min vs 4 min, P<0.05). After excluding deceased patients, the observation group showed shorter hospitalization duration compared to the control group (18.5 d vs 35.58 d, P<0.05). Patients treated with a high red blood cell-to-plasma ratio demonstrated a significantly higher resuscitation success rate compared to those with a low ratio (64.3% vs 30%, P<0.05). Conclusion: The implementation of the RFID technology-based emergency uncrossmatched transfusion management method can significantly reduce the blood release time, shorten average hospitalization duration, improve treatment efficiency, and ensure transfusion safety for trauma emergency patients.

Objective:To compare the effect of two hemostatic drugs, tranexamic acid and hemocoagulase, on postoperative bleeding in adult patients with Kashin-Beck disease undergoing total knee arthroplasty.Methods:A retrospective analysis was conducted to select 80 adult patients with Kashin-Beck disease who underwent unilateral primary total knee arthroplasty at Linyou County Hospital from January 2021 to March 2023. According to the inclusion and exclusion criteria, 19 cases with chronic anemia, long-term oral anticoagulants implanted with cardiac stents, and hematological diseases were excluded. Among the remaining 61 adult patients, 24 cases with preoperative intravenous application combined with intraoperative local application of tranexamic acid in articular cavity were selected as the experimental group, and 37 cases with preoperative intravenous application combined with intraoperative local application of hemocoagulase in articular cavity were selected as the control group. The preoperative general condition, postoperative drainage volume, total perioperative blood loss, occult blood loss, and hemoglobin levels at different time points before and after surgery were compared between the two groups of patients.Results:There was no statistically significant difference in age, gender distribution, body mass index, preoperative hemoglobin level, preoperative prothrombin time, and preoperative activated partial thromboplastin time between the two groups of patients ( P > 0.05). The total perioperative blood loss [(1 027.78 ± 472.71) ml], drainage volume 48 h after surgery [(336.67 ± 112.74) ml] in the experimental group were all lower than those in the control group [(1 390.39 ± 454.01), (498.65 ± 187.57) ml], and the differences were statistically significant ( P < 0.05). The hemoglobin levels on the second and fifth day after surgery were significantly higher than those in the control group, and the differences were statistically significant ( P < 0.05). Conclusion:For total knee arthroplasty for adult patients with Kashin-Beck disease, preoperative intravenous application combined with intraoperative local application of tranexamic acid in articular cavity is superior to hemocoagulase, which can effectively reduce total perioperative blood loss and postoperative drainage volume, and is worthy of clinical promotion.

Objective To investigate the predictive value of pan-immune-inflammation value(PIV),blood urea nitrogen to albumin ratio(BAR),collateral circulation and National Institutes of Health stroke scale(NIHSS)score for disease progression and short-term prognosis in patients with acute perforating artery cerebral infarction(APACI).Methods Patients with APACI admitted to the Neurology Department of Anhui NO.2 Provincial People's Hospital from January 2019 to October 2024 were retrospectively enrolled in this study.General and clinical data,including age,gender,previous history(hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,drinking history,NIHSS scores at admission were collected.Fasting venous blood samples were collected from the patients within 24 h after admission to detect levels of neutrophils,lymphocytes,monocytes,platelets,blood urea nitrogen,and serum albumin.PIV(PIV=neutrophils × platelets × monocytes/lymphocytes)and BAR were calculated.The location of lesions and Fazekas classification of white matter lesions were evaluated using head MRI and MR angiography at admission.Collateral circulation status was assessed based on CT angiography upon admission.Disease progression was defined through comparing the NIHSS score at 72-hour after admission to the score at admission(an increase of 2 or more points in NIHSS score indicating disease progression).The patients were divided into a progression group and a non-progression group based on the increase in NIHSS score,as aforementioned.Patients follow-up was conducted through phone call or outpatient visits at 90 d after discharge.The modified Rankin scale(mRS)was used to evaluate the prognosis,with a mRS score of 0-2 indicates good prognosis,and a 3-6 indicates poor prognosis.Factors with statistically significant differences in univariate analysis were included in a multivariate Logistic regression analysis to explore the influencing factors of disease progression and poor prognosis in patients with APACI.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each indicator for disease progression and poor prognosis in patients with APACI.Results A total of 165 patients with APACI were enrolled in this study,including 121 males and 44 females,aged 27-86 years,with an average of(61±11)years.Among all patients enrolled,56 patients were included in the progression group and 109 patients in the non-progression group,124 patients showed good prognosis and 41 patients had poor prognosis.No statistically significant differences were found in age,gender,smoking history,drinking history,hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and Fazekas classification of white matter lesions between the progression group and the non-progression group(all P＞0.05).While the NIHSS score at admission,proportion of poor collateral circulation,PIV and BAR in the progression group were significantly higher than those in the non-progression group(all P＜0.05).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.177,95％CI 1.001-1.384,P=0.049),poor collateral circulation(OR,3.107,95％CI 1.216-7.939,P=0.018),high PIV(OR,1.006,95％CI 1.003-1.009,P=0.001),and high BAR(OR,1.610 × 109,95％CI 5.769 × 104-4.494 × 1013,P＜0.01)were independent risk factors of disease progression in patients with APACI.ROC curve analysis results showed that the area under the curve(AUC)of combination of PIV,BAR,collateral circulation and NIHSS score at admission for predicting disease progression in patients with APACI was 0.914(95％ CI0.861-0.952,P＜0.01),which was greater than that of each indicator(all P＜0.05).No statistically significant differences were found in smoking,drinking,hypertension,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and BAR between the poor prognosis and the good prognosis group(all P＞0.05).Compared with the good prognosis group,the poor prognosis group had significantly older age and higher proportion of patients with diabetes,NIHSS score at admission,proportion of patients with poor collateral circulation,and PIV(all P＜0.05).Moreover,the proportion of men in the poor prognosis group was lower than that in the good prognosis group(P=0.039).There was a statistically significant difference between the good prognosis group and the poor prognosis group in the Fazekas classification of white matter lesions(P＜0.01).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.345,95％CI 1.081-1.674,P=0.008),poor collateral circulation(OR,3.903,95％CI 1.061-14.355,P=0.040),and high PIV(OR,1.011,95％CI 1.005-1.017,P＜0.01)were independent risk factors of poor prognosis in patients with APACI.The AUC for predicting poor prognosis in patients with APACI through combining PIV,collateral circulation and NIHSS score at admission was 0.911(95％CI 0.857-0.950,P＜0.01),which is greater than using poor collateral circulation or NIHSS score at admission alone(both P＜0.05).However,there was no statistically significant difference in AUC between the PIV,collateral circulation and NIHSS score combined predictive model and the PIV(alone)predictive model(P＞0.05).Conclusions High PIV,high BAR,poor collateral circulation,and high NIHSS score at admission were independent risk factors of disease progression in patients with APACI.Combination of these four indices demonstrates relatively high predictive value for disease progression.In addition,high PIV,poor collateral circulation,and high NIHSS score at admission are independent risk factors of poor prognosis in patients with APACI.Joint detection of the three indices may assist in short-term prognosis evaluation of patients with APACI.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Objective:To analyze the temporal distribution of other infectious diarrhea (OID) in Shenzhen and provide evidence for the prevention and control of OID.Methods:The incidence data of OID in Shenzhen from 2011 to 2023 were collected. The seasonal and trend decomposition using loess (STL), seasonal index method, concentration degree and circular distribution method were used to analyze the incidence trend and temporal distribution of OID.Results:A total of 477 611 cases of OID were reported in Shenzhen from 2011 to 2023, with an average annual incidence rate of 260.19/100 000 showing a fluctuating upward trend. The seasonal index method indicated that October-January was period with high incidence of OID in Shenzhen and the seasonal intensity began to decrease in 2020. STL revealed an obvious incidence peak in winter. The concentration method showed that OID had a certain seasonality before 2018 except 2016, but the seasonality was not obvious after 2018. The circular distribution results showed that r was 0.05, mean angle ā was 1.92° and angular standard deviation s was 141.93° ( Z=1 033.37, P<0.001), with the peak on January 1 st and the high incidence period from August 11 th to May 25 th. Conclusions:OID had a certain degree of seasonality in Shenzhen, with an obvious incidence peak in winter. Since the seasonal intensity of OID decreased after 2018, the surveillance, early warning and risk assessment of OID should be continued, and prevention and control measures should be adjusted timely according to the change in the characteristics of the epidemic.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.