ObjectiveTo investigate the efficacy of C-reactive protein （CRP） in predicting the progression to acute-on-chronic liver failure （ACLF） within 90 days after disease onset in patients with acute decompensation （AD） of cirrhosis， and to provide a reference for the early identification of high-risk populations in clinical practice. MethodsA retrospective study was conducted among 906 patients with liver cirrhosis who were hospitalized due to AD in Nanjing Second Hospital from January 1， 2015 to October 31， 2024， and demographic features， AD type， and laboratory markers were collected on admission. The primary endpoint was progression to ACLF within 90 days after admission， and according to the presence or absence of ACLF， the patients were divided into non-ACLF group with 676 patients and ACLF group with 230 patients. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The univariate and multivariate Cox proportional-hazards regression models were used to identify independent predictive factors for ACLF. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of CRP and existing scoring systems （Model for End-Stage Liver Disease ［MELD］， Child-Turcotte-Pugh ［CTP］ score， and Chronic Liver Failure Consortium Acute Decompensation ［CLIF-C AD］ score）， and the restricted cubic spline analysis was used to investigate the nonlinear relationship between CRP and the risk of ACLF. Youden index was used to determine the optimal predictive cut-off value for CRP， and the Kaplan-Meier survival curve was plotted for risk stratification， while the log-rank test was used for survival analysis. ResultsAmong the 906 AD patients， the incidence rate of ACLF was 25.39% within 90 days. The incidence rate of ACLF within 90 days was 45.1% in the 264 patients with bacterial infection and 17.3% in the 642 patients without bacterial infection （χ²=74.791， P<0.001）. Among the 906 patients， 312 patients （34.44%） had acute-on-chronic pre-liver failure （pre-ACLF）， with a significantly higher proportion of patients who progressed to ACLF than those in the non-pre-ACLF group ［60.58% （189/312） vs 6.90% （41/594）， χ²=310.234， P<0.001］. Among the 230 patients with ACLF， there were 102 patients with stable ACLF （44.35%） and 128 patients with unstable ACLF （55.65%）， with a significant difference in CRP between the two groups of patients （U=5 234.500， P<0.001）. The restricted cubic spline analysis showed a significant nonlinear relationship between CRP and the risk of ACLF （P<0.001）. The optimal cut-off value of CRP was determined as 10.16 mg/L based on the Youden index， with a sensitivity of 70.4% and a specificity of 64.5%. The Kaplan-Meier curve analysis showed that the high-risk group with CRP≥10.16 mg/L had a significantly higher event-free survival rate of ACLF within 90 days compared with the low-risk group （P<0.001）. The multivariate Cox regression analysis showed that AD type-hepatic encephalopathy （hazard ratio ［HR］=4.199， 95% confidence interval ［CI］： 3.056 — 5.770， P<0.001）， AD type-bacterial infection （HR=1.826， 95%CI： 1.356 — 2.459， P<0.001）， CRP （≥10.16 mg/L） （HR=2.356， 95%CI： 1.825 — 3.047， P<0.001）， white blood cell count （HR=1.021， 95%CI： 1.002 — 1.041， P=0.035）， hemoglobin （HR=0.994， 95%CI： 0.989 — 0.999， P=0.025）， international normalized ratio （HR=1.657， 95%CI： 1.372 — 2.001， P<0.001）， total bilirubin （HR=1.003， 95%CI： 1.002 — 1.004， P<0.001）， albumin （HR=0.956， 95%CI： 0.926 — 0.986， P=0.004）， creatinine （HR=1.005， 95%CI： 1.004 — 1.006， P<0.001）， serum sodium （HR=0.976， 95%CI： 0.956 — 0.997， P=0.025）， and lactate dehydrogenase （HR=1.001， 95%CI： 1.001 — 1.002， P<0.001） were all independent predictive factors for progression to ACLF within 90 days. The ROC curve analysis showed that CRP alone had an area under the ROC curve （AUC） of 0.724 （95%CI： 0.685 — 0.763） in predicting ACLF， and CRP+MELD score had the best predictive performance （AUC=0.870， 95%CI： 0.843 — 0.898）， while CRP+CTP score and CRP+CLIF-C AD score had an AUC of 0.852 （95%CI： 0.823 — 0.881） and 0.845 （95%CI： 0.812 — 0.877）， respectively. There was a significant increase in model performance after integration （P<0.05）. ConclusionSerum CRP level on admission is an independent predictive factor for progression to ACLF within 90 days in patients with AD of cirrhosis， and a CRP level of ≥10.16 mg/L can be used as a simple threshold for identifying high-risk patients. Incorporating CRP into existing assessment systems may enhance the early identification of patients at a high risk for ACLF， which provides a reference for clinical intervention.

Objective To develop and validate a model to predict the risk of radiation-induced lung injury (RILI) and assess its clinical feasibility. Methods Clinical data from 125 patients with non-small cell lung cancer (NSCLC) were included in the study. The patients were divided into training group (88 cases) and validation group (38 cases). Key predictive factors were identified using univariate and multivariate logistic regression analyses combined with least absolute shrinkage and selection operator (LASSO) regression. A predictive model was constructed and evaluated using a nomogram, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results The key variables identified by the model were tumor volume (P = 0.017), Eastern Cooperative Oncology Group performance status score (P = 0.035), 95% of the minimum dose to the target volume (P = 0.028), percentage of bilateral lung volume receiving 20 Gy of radiation (P < 0.001), and neutrophil-to-lymphocyte ratio (P = 0.021). The ROC curve showed that the areas under the curve (AUC) for the model in the training and validation groups were 0.987 and 0.992, respectively, indicating good predictive ability. The calibration curve and decision curve further confirmed the accuracy and clinical practicability of the model. Conclusion The predictive model proposed in this study can accurately assess the risk of developing RILI in patients with NSCLC who have undergone radiotherapy, demonstrating its potential value in clinical practice.

ObjectiveThis study aims to investigate the dynamic changes in general body parameters, blood glucose, and blood lipid profiles in obese cynomolgus monkeys, exploring the correlations among these parameters and providing a reference for research on the obese cynomolgus monkey model. Methods30 normal male cynomolgus monkeys aged 5 - 17 years old (with body mass index < 35 kg/m² and glycated hemoglobin content < 4.50%) and 99 spontaneously obese male cynomolgus monkeys (with body mass index ≥35 kg/m² and glycated hemoglobin content < 4.50%) were selected. Over a period of three years, their abdominal circumference, skinfold thickness, body weight, body mass index, fasting blood glucose, glycated hemoglobin, and four blood lipid indicators were monitored. The correlations between each indicator were analyzed using repeated measurement ANOVA, simple linear regression, and multiple linear regression correlation analysis method. Results Compared to the control group, the obese group exhibited significantly higher levels of abdominal circumference, skinfold thickness, body weight, body mass index, and triglyceride (P＜0.05). In the control group, skinfold thickness increased annually, while other indicators remained stable. Compared with the first year, the obese group showed significantly increased abdominal circumference, skinfold thickness, body weight, body mass index, triglyceride, and fasting blood glucose in the second year(P＜0.05), with this increasing trend persisting in the third year (P＜0.05). In the control group, the obesity incidence rates in the second and third years were 16.67% and 23.33%, respectively, while the prevalence of diabetes remained at 16.67%. In the obese group, the diabetes incidence rates were 29.29% and 44.44% in years 2 and 3, respectively. Among the 11-13 year age group, the incidence rates were 36.36% and 44.68%, while for the group older than 13 years, the rates were 28.13% and 51.35%. Correlation analysis revealed significant associations (P＜0.05) between fasting blood glucose and age, abdominal circumference, skinfold thickness, body weight, and triglyceride in the diabetic monkeys. Conclusion Long-term obesity can lead to the increases in general physical indicators and fasting blood glucose levels in cynomolgus monkeys, and an increase in the incidence of diabetes. In diabetic cynomolgus monkeys caused by obesity, there is a high correlation between their fasting blood glucose and age, weight, abdominal circumference, skinfold thickness, and triglyceride levels, which is of some significance for predicting the occurrence of spontaneous diabetes.

This study established the HPLC fingerprints, characteristic chromatograms, and a multi-component content determination method for Bidens bipinnata and B. biternata. The chemical pattern recognition analysis was then employed to clarify the characteristic indexes of quality differences between the two original plants of Bidentis Herba, providing a reference for establishing the quality standards of Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The similarity between the fingerprints of 18 batches of Bidentis Herba samples and the common pattern(R) ranged from 0.572 to 0.933. A total of 23 chromatographic peaks were calibrated. Through comparison with the reference substances, six components(neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, rutin, and hyperoside) were identified and subjected to quantitative analysis. The characteristic fingerprints of B. bipinnata and B. biternata were calibrated with 20 and 17 characteristic peaks, respectively. Among them, peaks 8, 9, 22, and 23 were the characteristic peaks of B. bipinnata, and peak 7 was the characteristic peak of B. biternata, which can be used to distinguish the two original plants of Bidentis Herba. The relative standard deviation of the content of the above-mentioned six components ranged from 36% to 123%. The cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) classified the 18 batches of Bidentis Herba samples into two categories. Additionally, through the analysis of variable importance in projection(VIP) under OPLS-DA, three characteristic indexes, rutin, isochlorogenic acid A, and isochlorogenic acid B, were identified. The analytical method established in this study can comprehensively evaluate the consistency of Bidentis Herba samples derived from different original plants, specifically identify the differential components between them, and effectively distinguish the two original plants of Bidentis Herba, providing a basis for the differentiation between different original plants and the quality control of Bidentis Herba.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Bidens/chemistry*

OBJECTIVE: To compare clinical effect of arthroscopic double row fixation and single row fixation in treating Ideberg typeⅠA scapular glenoid fracture. METHODS: From June 2018 to December 2022, 26 patients with Ideberg typeⅠA scapular glenoid fracture treated with shoulder arthroscopy were divided into single-row anchor group and double-row anchor group according to the fixation method of fracture block. There were 12 patients in single-row anchor group, including 7 males and 5 females, aged from 25 to 53 years old with an average of (38.42±9.61) years old;the time from injury to operation ranged from 2 to 7 days with an average of (4.75±1.82) days. There were 14 patients in double-row anchor group, including 10 males and 4 females, aged from 21to 53 years old with an average of (37.36±10.19) years old;the time from injury to operation ranged from 1 to 8 days with an average of (4.21±2.01) days. The changes of shoulder joint flexion, abduction, lateral lateral rotation, Constant-Murley shoulder function score and Rowe scores were compared between two groups before operation and 1 year after operation. The percentage of bone mass in pelvis area before operation and the percentage of bone defect in pelvis area at the latest follow-up were compared between two groups. RESULTS: All patients were followed up for 12 to 15 months with an average of (13.08±1.17) months in single-row anchor group and 12 to 15 months with an average of (13.29±1.07) months in double-row anchor group, with no statistical significance between two groups (P>0.05). The results of anterior flexion, abduction and lateral lateral rotation in single-row anchor group were(86.67±6.62) °, (79.50±5.68) °, (38.17±1.70) ° before operation, and (162.50±4.52)°, (169.17±3.35)°, (50.67±10.20)° at 1 year after operation; while in double-row anchor group were (84.14±5.48) °, (81.71±5.20) °, (39.29±3.63) ° before operation and (162.29 ± 5.53) °, (167.14±3.61) °, (56.93±9.56) ° at 1 year after operation;the difference between two groups before operation and 1 year after operation was statistically significant (P<0.05). There were no significant difference between two groups (P>0.05). Constant-Murley scores and Rowe scores in single-row anchor group were (55.42±3.75), (43.75±18.49) before operation and (94.83±2.21), (95.42±4.50) at 1 year after operation, respectively;while in double-row anchor group were (54.50±7.88), (41.79±18.25) before operation and (94.36±4.73), (95.00±4.80) at 1 year after operation;there was no significant difference in Constant-Murley score and Rowe score between two groups before operation and 1 year after operation (P>0.05). There was significant difference in the percentage of bone mass in pelvis area between two groups before operation (P>0.05). There was no significant difference in the percentage of bone defect in the shoulder area between single-row anchor group(4.42±1.51)% and double-row anchor group (2.71±1.44)% at 1 year after operation (P<0.05). CONCLUSION Both single and double row fixation techniques for the treatment of Ideberg typeⅠA scapular glenoid fracture could receive satisfactory functional recovery. However, double-row fixation has more advantages in reducing bone resorption of fracture mass.
Humans ; Female ; Male ; Middle Aged ; Arthroscopy/methods* ; Adult ; Scapula/surgery* ; Case-Control Studies ; Fractures, Bone/physiopathology* ; Fracture Fixation, Internal/methods* ; Shoulder Joint/physiopathology* ; Range of Motion, Articular

Objective: To compare the biological characteristics of human induced pluripotent stem cell-derived platelet exosomes (hiPSC-Plt-Exos) with those of conventional apheresis platelet exosomes (Plt-Exos), specifically focusing on their differential abilities to enhance the proliferation and migration of human umbilical cord mesenchymal stem cells (hUC-MSCs). Methods: Exosomes were isolated from hiPSC-derived Plt and apheresis Plt concentrate using size exclusion chromatography. These exosomes were then characterized through nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), and Western blotting. Co-culture experiments into hUC-MSCs were conducted with hiPSC-Plt-Exos and apheresis Plt-Exos, respectively. Their effects on the proliferation and migration of hUC-MSCs were assessed via cell proliferation assays and scratch tests. Results: hiPSC-Plt-Exos and apheresis Plt-Exos exhibited comparable particle sizes, morphological features (such as the characteristic cup-shaped structure), and surface markers (including CD9 and HSP70). Notably, hiPSC-Plt-Exos demonstrated a significantly greater ability to enhance the proliferation and migration of hUC-MSCs compared to apheresis Plt-Exos (P<0.05). These differences provide critical comparative data for their application in various clinical contexts. Conclusion: This study establishes a theoretical foundation for developing precise therapeutic strategies based on hiPSC-Plt-Exos. Furthermore, it underscores the necessity of selecting the appropriate type of exosomes according to the specific disease microenvironment to achieve optimal therapeutic outcomes.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.