1.From blood transfusion to blood use
Zonglong LI ; Chen HOU ; Yu SI ; Delong QIN ; Xiaoliang ZHOU ; Zhaohui TANG
Chinese Journal of Blood Transfusion 2026;39(1):8-15
The promulgation of the Technical Specifications for Clinical Use of Blood (2025 Edition) signifies that China's clinical blood transfusion management has transitioned from mere technical operations to a new stage centered on patient blood management (PBM). Through an in-depth comparison of the new and old specifications, this paper analyzes the core transformations regarding conceptual reconstruction, legal alignment, technological upgrades, and closed-loop management. The new specifications establish PBM principles, reinforce legal safeguards for informed consent and emergency treatment, and construct a comprehensive, refined quality control system by specifying compatibility testing standards and introducing a post-transfusion evaluation system. Medical institutions should seize this opportunity to update management protocols and information systems, deepen multidisciplinary collaboration, and drive the profound transformation of clinical blood use from focusing solely on safety assurance to placing equal emphasis on science and value.
2.A novel MRI radiomics-based nomogram for preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma
Huize SUI ; Zheyu ZHOU ; Shuya CAO ; Xiaoliang XU ; Guoqiang LI
Acta Universitatis Medicinalis Anhui 2026;61(4):736-742
ObjectiveTo evaluate a novel nomogram based on contrast-enhanced MRI radiomics combined with clinical variables for the preoperative prediction of perineural invasion (PNI) in intrahepatic cholangiocarcinoma (ICC). MethodsThe clinical data of 59 ICC patients were retrospectively collected. According to postoperative pathology reports, the patients were divided into the non-PNI group (n = 33) and the PNI group (n = 26). Regions of interest (ROI) were delineated from five MRI sequences. Radiomics features were then extracted and filtered to select those with the strongest discriminative power for PNI identification. These selected features were used to construct a radiomics model, which subsequently generated a quantitative radiomics score (radiomics score, Radscore). Univariate analysis was applied to identify clinical variables associated with PNI, and the glm function was subsequently used to construct clinical and combined models. Finally, the models were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). The combined model was then visualized as a nomogram. ResultsThe clinical model included age, carbohydrate antigen 19-9 (CA19-9), red blood cell distribution width, and albumin, whereas the Radscore included five radiomic features. The areas under the ROC curves (AUCs) for the clinical and radiomics models were 0.717 (95%CI: 0.586-0.848) and 0.896 (95%CI: 0.820-0.973), respectively, whereas the combined model further improved its AUC to 0.917 (95% CI:0.848-0.987). The calibration curves and DCA showed that the nomogram was well calibrated and provided the greatest net clinical benefit. ConclusionThe novel nomogram may serve as a basis for preoperative prediction of PNI status, thereby assisting clinical decision-making and guiding personalized treatment.
3.Treatment of 149 cases of large-volume benign prostatic hyperplasia with blue laser vaporization
Haifeng CHENG ; Chao WANG ; Quan DU ; Guoxiong LIU ; Zhenwei FAN ; Xiaoliang FU ; Nan LI ; Wanglong YUN ; Xiaofeng XU
Journal of Modern Urology 2026;31(5):443-445
Objective To explore the efficacy and safety of blue laser vaporization in the treatment of large-volume (>80 mL) benign prostatic hyperplasia (BPH). Methods A retrospective analysis was conducted on the clinical data of 149 BPH patients with prostate volume>80 mL who underwent blue laser vaporization at our hospital during Aug. 2023 and Aug. 2025. The 1-month postoperative maximum urinary flow rate (Qmax) and international prostate symptom score (IPSS), operation time, postoperative hemoglobin drop, bladder irrigation volume, catheter indwelling time, and incidence of postoperative complications were recorded and analyzed. Results All operations were successfully completed, without conversion to other approaches. The operation time was (41.47±11.05) minutes, postoperative hemoglobin drop (2.78±1.19) g/L, bladder irrigation volume (9.97±1.49) bags, and catheter indwelling time (3.30±1.85) days. One month after surgery, the Qmax was significantly higher than the preoperative value [(20.19±3.39) mL/s vs. (2.39±2.17) mL/s], while the IPSS was significantly lower [(4.46±0.87) vs. (27.69±2.06)], with statistically significant differences (P<0.001). Postoperative complications included 1 case of incontinence (0.67%), 2 cases of urethral stricture/bladder neck contracture (1.34%), and 1 case of secondary bleeding (0.67%), all of which improved with symptomatic treatment. Conclusion Blue laser vaporization is effective for treating large-volume BPH, with advantages such as minimal bleeding risk, short operation time, fast recovery and safety.
4.An analytical study of the MELD-XI score to predict prognosis in patients on veno-arterial extracorporeal membrane oxygenation support
Jianzhao LI ; Xiaoliang QIAN ; Fanwei MENG ; Peijun REN ; Zhaoyun CHENG
Chinese Journal of Emergency Medicine 2025;34(7):964-969
Objective:The aim of this study was to investigate whether the Model for end-stage liver disease-excluding international normalised ratio ( MELD-XI) score whether it can predict the prognosis of patients on veno-arterial extracorporeal membrane oxygenation support.Methods:This study was a retrospective cohort study, which retrospectively included clinical data data of patients using ECMO from January 2015 to December 2023 in Fuwai Huazhong Cardiovascular Disease Hospital. Inclusion criteria: 1. clinical patients using VA-ECMO, excluding VAV-ECMO and VV-ECMO; 2. available laboratory values of blood creatinine and total bilirubin within the first 24 hours of on-boarding; 3. complete basic information of the patients; and 4. age greater than 18 years. Exclusion criteria: 1. patients whose family members abandoned the treatment due to economic reasons; 2. on-boarding time less than 24 hours; 3. patients with incomplete clinical information or patients who did not have a detailed record of general information on VA-ECMO. Using X-tile software, they were divided into MELD-XI score ≤13.9 and MELD-XI score >13.9 groups, and variables with P < 0.05 were included in the binary logistic regression model after using univariate analysis. Results:: Univariate analysis of 940 patients revealed that the MELD-XI score ≤13.9 group compared with the MELD-XI score >13.9 group had a significant difference in the success of machine withdrawal ( χ2=31.812, P<0.001), death while the machine was in operation ( χ2=52.453, P<0.001), death after machine withdrawal ( χ2=4.210, P=0.040), cerebral thrombotic complications ( χ2=4.319, P=0.038), lower extremity thrombotic complications ( χ2=8.789, P=0.003), and CRRT use ( χ2=15.648, P<0.001), length of boarding (Z=-17.786, P<0.001), length of hospital stay (Z=-17.503, P<0.001), and length of ICU stay ( Z=-18.790, P<0.001) were significantly different. Multifactorial binary logistic regression showed that successful machine withdrawal ( OR=2.078, 95% CI:1.158-3.731, P=0.014), death while the machine was running ( OR=0.271, 95% CI:0.144-0.512, P<0.001), CRRT use ( OR=3.227, 95% CI:1.659-6.474, P=0.001), length of hospital stay ( OR=1.138, 95% CI:1.107-1.171, P<0.001), length of boarding ( OR=1.035, 95% CI:1.027-1.043, P<0.001), ICU stay ( OR=1.365, 95% CI:1.278-1.458, P < 0.001) are independent influencing factor for VA-ECMO support patients. Kaplan-Meier curve analysis showed that both in-hospital mortality ( HR=2.167, 95% CI:1.508-3.114, P<0.001) and withdrawal success ( HR=5.353, 95% CI:4.023-7.121, P<0.001) were significantly lower in the MELD-XI score ≤13.9 group than in the MELD-XI score >13.9 group. Conclusions:The MELD-XI score can predict the prognosis of VA-ECMO-supported patients and help clinician doctors to make complex clinical decisions.
5.Research Integrity,Awareness,and Influencing Factors of Clinical Nursing Personnel in a University-Affiliated Hospital
Xiaoliang DU ; Xiaoqin GONG ; Siyuan HUANG ; Yushan LI
Journal of Kunming Medical University 2025;46(10):162-171
Objective To assess the level of research integrity awareness among clinical nursing personnel in Yunnan Province,analyze the influencing factors,and identify related risks.Methods From June 2025 to July 2025,a research integrity awareness questionnaire was conducted on 697 clinical nursing personnel from a university-affiliated tumor hospital and children's hospital using the Questionnaire Star platform.The survey content included basic information,research integrity awareness status,research integrity construction awareness,and the causes of research misconduct.Data were analyzed using SPSS 27.0.Results The research integrity awareness score of clinical nursing personnel was(47.49±11.06),with an overall awareness rate of 51.48%.Univariate analysis showed statistically significant differences in awareness scores based on nursing categories(t=-2.45),marital status(F=5.557),age(F=2.735),work experience(F=4.775),highest education level(F=13.11),whether serving as a master's supervisor(t=2.693),participation in research projects(t=4.95),whether they had published papers as the first author or corresponding author(t=5.11),and attendance of research integrity training(t=12.48)(P<0.05).Multivariate linear regression analysis indicated that marital status,highest education level,and participation in research integrity training were significant factors influencing clinical nursing personnel's research integrity awareness(P<0.05).The main reason for research misconduct was lack of research integrity awareness The(76.47%),and 92.37%of clinical nursing personnel believed further strengthening of research integrity construction was necessary.Conclusion The research integrity awareness level of clinical nursing personnel needs improvement.Hospitals should enhance research integrity training,improve research integrity management systems,and optimize scientific talent evaluation mechanisms.
6.Functional analysis of a nitrate-induced GARP transcription factor AhNIGT1.2 in peanut nodulation.
Xiaoliang LI ; Haitong HE ; Suqin HE ; Luyao WANG ; Wei ZHANG ; Zhaosheng KONG ; Lixiang WANG
Chinese Journal of Biotechnology 2025;41(2):657-669
Peanut, a major economic and oil crop known for the high protein and oil content, is extensively cultivated in China. Peanut plants have the ability to form nodules with rhizobia, where the nitrogenase converts atmospheric nitrogen into ammonia nitrogen that can be utilized by the plants. Analysis of nodule fixation is of positive significance for avoiding overapplication of chemical fertilizer and developing sustainable agriculture. In this study, AhNIGT1.2, a member of the NIGT family predominantly expressed in peanut nodules, was identified by bioinformatics analysis. Subsequent spatiotemporal expression analysis revealed that AhNIGT1.2 was highly expressed in nodules and showed significant responses to high nitrogen, low nitrogen, high phosphorus, low phosphorus, and rhizobia treatments. Histochemical staining indicated that the gene was primarily expressed in developing nodules and at the connection region between mature nodules and peanut roots. The fusion protein AhNIGT1.2-GFP was located in the nucleus of tobacco epidermal cells. The AhNIGT1.2-OE significantly increased the number of peanut nodules, while AhNIGT1.2-RNAi reduced the number of nodules, which suggested a positive regulatory role of AhNIGT1.2 in peanut nodulation. The AhNIGT1.2-OE in roots down-regulated the expression levels of NRT1.2, NRT2.4, NLP1, and NLP7, which indicated that AhNIGT1.2 influenced peanut nodulation by modulating nitrate transport and the expression of NLP genes. The transcriptome analysis of AhNIGT1.2-OE and control roots revealed that overexpressing AhNIGT1.2 significantly enriched the differentially expressed genes associated with nitrate response, nodulation factor pathway, enzymes for triterpene biosynthesis, and carotenoid biosynthesis. These findings suggest that AhNIGT1.2 play a key role in peanut nodulation by regulating nitrate transport and response and other related pathways. This study gives insights into the molecular mechanisms of nitrogen and phosphorus in regulating legume nodulation and nitrogen fixation, and sheds light on the development of legume crops that can efficiently fix nitrogen in high nitrogen environments.
Arachis/physiology*
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Nitrates/metabolism*
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Plant Proteins/physiology*
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Transcription Factors/metabolism*
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Plant Root Nodulation/physiology*
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Gene Expression Regulation, Plant
;
Root Nodules, Plant/metabolism*
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Nitrogen Fixation
7.Prediction of Linezolid-induced Thrombocytopenia Based on Machine Learning Algorithm
Ru LIAO ; Yi CUI ; Xiaoliang CHENG ; Feng WANG ; Houli LI ; Haiyan DONG
Herald of Medicine 2025;44(4):676-681
Objective To construct machine learning models to predict the incidence of linezolid-induced thrombocytopenia(LIT).Methods A total of 198 patients treated with linezolid in a hospital between January 2020 and March 2024 were retrospectively included.Firstly,the patients were divided into LIT and non-LIT groups,and the basic characteristics of the two groups were compared.Then,the variables with significant differences between the two groups were selected as potential risk factors to construct models for predicting LIT,including Logistic regression,decision tree and random forest models,and the prediction performance of the models was evaluated and compared.Results There were 52(26.3%)patients developed LIT during the treatment.The univariate analysis showed significant differences in linezolid trough concentration(Cmin),baseline platelet counts and creatinine clearance,the incidence of cerebrovascular disease,acute respiratory distress syndrome,and abdominal infection in patients with and without LIT.Among the three models built based on these variables,the random forest model has the best predictive performance.The results of variable importance analysis based on random forest model showed that Cmin,baseline platelet count and combined with acute respiratory distress syndrome had higher importance scores.Conclusions The random forest model has high accuracy in predicting the occurrence of LIT,and the risk of LIT is higher in patients with higher levels of linezolid exposure and lower baseline platelets.
8.A case of occupational lung cancer caused by dichloromethyl ether
Wei WEN ; Xiaoliang LI ; Xia WU ; Rongzong LI ; Shibiao SU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(11):857-859
In workplaces where formaldehyde, hydrochloric acid and water vapor coexist, dichloromethyl ether can be produced. Dichloromethyl ether has strong carcinogenicity. Its target organ is the lungs, and the common tissue type of lung cancer is small cell lung cancer. This paper analyzes the cause of a case of occupational tumor (lung cancer caused by dichloromethyl ether) in the electroplating industry. Through the use of on-site occupational health investigation method, engineering analysis method and detection and inspection method, the occupational disease diagnosis is diagnosed in combination with the patient's occupational contact history, clinical symptoms and workplace occupational disease hazard factors. According to GBZ 94-2017 "Diagnosis of Occupational Tumor", the patient in this case was clearly diagnosed with primary lung cancer and was diagnosed as an occupational tumor (lung cancer caused by dichloromethyl ether) .
9.The association between clinical drug utilization and the risk of nosocomial infections among inpatients:a comprehensive dose-response analysis
Xiaoliang ZHANG ; Fangbin LI ; Xiaolong YUAN ; Yujuan FENG ; Haimo WANG ; Xiaoyong LIN ; Bingpeng WEI ; Lei WANG ; Haojun ZHANG
Chinese Journal of Infection and Chemotherapy 2025;25(2):121-126
Objective To analyze the relationship between clinical drug utilization and the risk of nosocomial infections among hospitalized patients,and provide evidence for the prevention and control of nosocomial infections.Methods This study adopted a retrospective case-control design.The case group included 209 patients with nosocomial infection reported from January 2023 to December 2023 in a tertiary hospital.The control group included 209 patients without nosocomial infection during the same period.The patients in the control group were selected by stratified sampling based on Charlson Comorbidity Index(CCI).Results Univariate analysis showed that proton pump inhibitors,antacids,immunosuppressants and prior antimicrobial combination therapy increased the risk of nosocomial infection(P<0.05).Multivariate log-binomial regression analysis showed that proton pump inhibitors,immunosuppressive drugs,and prior antimicrobial combination therapy were correlated with nosocomial infection.The corresponding relative risk(RR)was 1.31(95%CI:1.07-1.60),1.40(95%CI:1.02-1.91),and 1.66(95%CI:1.01-2.74),respectively.Further analysis indicated that the patients with nosocomial infection had longer time in use of proton pump inhibitors and prior antimicrobial combination therapy than the patients in the control group(Z=-6.331,P<0.001;Z=-2.667,P=0.008).The trend Chi-square test showed that there was a dose-response relationship for proton pump inhibitors(x2=73.869,P<0.001),immunosuppressive drugs(x2=16.530,P<0.001),and prior antimicrobial combination therapy(x2=35.107,P<0.001).Conclusions The use of immunosuppressants,proton pump inhibitors and antimicrobial combination therapy increases the risk of nosocomial infections in hospitalized patients.The prolonged use of these drugs will further increase the risk of nosocomial infection.
10.Application of extracorporeal membrane oxygenation in assisting neonates with complex congenital heart diseases
Feng AI ; Jing SUN ; Xiaosong HU ; Yanting DUN ; Xiaoliang QIAN ; Ying HUA ; Jiangzhen LI
Chinese Journal of Applied Clinical Pediatrics 2025;40(6):457-460
Objective:To investigate the effect of extracorporeal membrane oxygenation (ECMO) in assisting neonates with complex congenital heart diseases (CHD) and the survival rate of the patients.Methods:A retrospective case-control study was made on 22 newborns with complex CHD assisted by ECMO during the perioperative period in Fuwai Central China Cardiovascular Hospital from January 2018 to June 2024.There were 19 males and 3 females in the newborns included, with an average age of (10.4±8.7) days (range: 1-26 days) and an average weight of (3.1±0.3) kg.Complex CHD included total anomalous pulmonary venous connection in 9 cases (40.9%), interrupted aortic arch and coarctation in 8 cases (36.4%), transposition of great arteries in 3 cases (13.6%), double outlet right ventricle in 1 case (4.5%) and cardiac tumor in 1 case (4.5%).The patients were divided into the <5 d group, 5-12 d group, and >12 d group according to the duration of ECMO support.Data were compared using the t-test or χ2 test. Results:There were 8 cases (36.4%) successfully weaned from ECMO support and 6 cases (27.3%) survived.ECMO support was used routinely in 15 cases (68.2%), and for extracorporeal cardiopulmonary resuscitation in 7 cases (31.8%).The duration of ECMO support was (5.9±3.7) days.There were no statistically differences in age, weight, gender, disease composition, operation time, cardiopulmonary bypass time, cross-clamp time, assistant time, blood routine, liver and kidney function and other biochemical indicators, preoperative cardiac ejection fraction value, procalcitonin, C-reactive protein and other infection indicators between the death group and the survival group (all P>0.05).The highest lactate values 24 hours before [(8.1±5.4) mmol/L] and after ECMO support [(10.5±7.1) mmol/L] in the survival group were significantly lower than those in the death group [(18.7±9.2) mmol/L, (21.3±8.6) mmol/L] ( t=2.606, P=0.018; t=2.729, P=0.013).It was found that the survival rate was 0/9 (0) in the <5 d group, 6/12 (50.0%) in the 5-12 d group, and 0/1 (0) in the >12 d group.The survival rate of the 5-12 d group was the highest, which was significantly higher than that of the <5 d group ( χ2=6.300, P=0.012). Conclusions:ECMO support is an effective treatment for severe circulatory failure in neonates with complex CHD in the perioperative period.The highest lactate levels 24 hours before and after ECMO support affect the survival rate.Patients receiving 5-12 d ECMO support can achieve the highest survival rate.

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