ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

OBJECTIVE T o explore the values of body temperature,white blood cells(WBC),neutrophils(NEUT),platelets(PLT),red blood cell distribution width(RDW),procalcitonin(PCT)and C-reactive procal-citonin(PCT)in early diagnosis of postoperative nosocomial infections in the intensive care unit(ICU)patients undergoing surgical procedures.METHODS The clinical data that were collected from the surgery patients who were hospitalized in ICU of Affiliated Hospital of Nantong University from Mar.2021 to May 2022 were retro-spectively analyzed,and the enrolled patients were divided into the infection group with 45 cases and the non-infection group with 130 case according to the status of nosocomial infections.The highest body temperature and the levels of WBC,NEUT,PLT,RDW,PCT and CRP were observed and compared between the infection group within 48 hours before diagnosis with nosocomial infections and the non-infection group after ICU stay for 48 hours.The values of the single and joint detection of the indexes in prediction of postoperative nosocomial infec-tions in the ICU patients were analyzed.RESULTS The body temperature,WBC,NEUT,RDW,PCT and CRP of the infection group were 38.30(37.80,38.80)℃,14.10(10.90,17.30)× 109/L,12.22(9.32,15.12)×109/L,14.10(12.70,15.50)％,1.20(0.10,2.30)ng/ml and 55.00(40.00,70.00)mg/L,respectively,high er than those of the non-infection group(P＜0.05).CRP,body temperature,PCT,NEUT and WBC showed remarkable diag-nostic effects;the area under the curves(AUCs)of the above indexes were 0.968,0.952,0.939,0.896 and 0.886,respectively.The sensitivity of the joint detection of PCT and CRP was 0.978,with the specificity 0.985 and AUC 0.980;the sensitivity of the joint detection of body temperature,PCT and CRP was 0.978,with the specificity 0.992,AUC 0.991.CONCLUSIONS The ICU patients with postoperative nosocomial infections show high levels of body temperature,WBC,NEUT,PCT and CRP.The body temperature,PCT and CRP have high sensitivity and specificity,showing certain values in prediction of postoperative nosocomial infection in the ICU pa-tients;the joint detection of the indexes has higher diagnostic efficiency.

Ventilator-induced lung injury(VILI)is a form of lung injury caused by inappropriate ventilator parameter settings or pre-existing lung pathologies during mechanical ventilation.The pathogenesis of VILI is complex,primarily involving barotrauma,volutrauma,atelectrauma,and biotrauma.To prevent VILI,clinical practice advocates protective lung ventilation strategies and personalized positive end-expiratory pressure(PEEP)settings.Early identification and precise assessment are critical for improving patient outcomes.The rapid advancement of imaging technologies has provided multidimensional perspectives for dynamic monitoring of VILI.This review summarizes the imaging principles,clinical applications in the context of VILI management,and limitations of various imaging modalities,including lung ultrasound(LUS),computed tomography(CT),electrical impedance tomography(EIT),and magnetic resonance imaging(MRI).By offering comprehensive diagnostic information,this review aims to provide a theoretical foundation for the precise assessment of VILI and the optimization of ventilatory support strategies.

OBJECTIVE T o explore the values of body temperature,white blood cells(WBC),neutrophils(NEUT),platelets(PLT),red blood cell distribution width(RDW),procalcitonin(PCT)and C-reactive procal-citonin(PCT)in early diagnosis of postoperative nosocomial infections in the intensive care unit(ICU)patients undergoing surgical procedures.METHODS The clinical data that were collected from the surgery patients who were hospitalized in ICU of Affiliated Hospital of Nantong University from Mar.2021 to May 2022 were retro-spectively analyzed,and the enrolled patients were divided into the infection group with 45 cases and the non-infection group with 130 case according to the status of nosocomial infections.The highest body temperature and the levels of WBC,NEUT,PLT,RDW,PCT and CRP were observed and compared between the infection group within 48 hours before diagnosis with nosocomial infections and the non-infection group after ICU stay for 48 hours.The values of the single and joint detection of the indexes in prediction of postoperative nosocomial infec-tions in the ICU patients were analyzed.RESULTS The body temperature,WBC,NEUT,RDW,PCT and CRP of the infection group were 38.30(37.80,38.80)℃,14.10(10.90,17.30)× 109/L,12.22(9.32,15.12)×109/L,14.10(12.70,15.50)％,1.20(0.10,2.30)ng/ml and 55.00(40.00,70.00)mg/L,respectively,high er than those of the non-infection group(P＜0.05).CRP,body temperature,PCT,NEUT and WBC showed remarkable diag-nostic effects;the area under the curves(AUCs)of the above indexes were 0.968,0.952,0.939,0.896 and 0.886,respectively.The sensitivity of the joint detection of PCT and CRP was 0.978,with the specificity 0.985 and AUC 0.980;the sensitivity of the joint detection of body temperature,PCT and CRP was 0.978,with the specificity 0.992,AUC 0.991.CONCLUSIONS The ICU patients with postoperative nosocomial infections show high levels of body temperature,WBC,NEUT,PCT and CRP.The body temperature,PCT and CRP have high sensitivity and specificity,showing certain values in prediction of postoperative nosocomial infection in the ICU pa-tients;the joint detection of the indexes has higher diagnostic efficiency.

Objective To analyze the predictive value of artificial intelligence(AI)quantitative param-eters combined with 256-slice spiral CT scans for assessing the invasiveness of lung ground-glass nodules(GGNs).Methods This study included 98 GGN patients diagnosed by postoperative pathology at the hospital from May 2021 to July 2024.Preoperative assessments involved AI quantitative parameters and 256-slice spiral CT scans.Patients were categorized into non-invasive(AAH,AIS,MIA)and invasive(IAC)groups based on pathology.AI parameters and CT scan results were compared to analyze factors influencing invasiveness and their predictive value.Results Among the 98 GGN patients,there were 29 AAH cases,22 AIS,19 MIA,and 28 IAC.The invasive group had higher average CT values,nodule long-axis diameter,maximum area,presence of air bronchogram,vascular clustering signs,and irregular shapes compared to the non-invasive group(P<0.05).Binary logistic regression identified these six features(air bronchogram,vascular clustering,irregular shape,average CT value,nodule long diameter,and maximum area)as significant factors affecting GGN invasiveness(P<0.05).ROC curve analysis showed that the combined detection of these parameters had higher sensitivity and specificity than single tests,with an AUC of 0.907,indicating a high predictive value for assessing GGN invasiveness.Conclusion The combination of AI quantitative parameters and 256-slice spiral CT scanning effectively predicts the invasiveness of GGN,provid-ing significant clinical guidance for preoperative evaluation.

ObjectiveTo study the effect of Taikong Yangxin Pills on the metabolism of simulated weightless rats based on metabolomics and discuss the metabolism mechanism. MethodsIn the simulated space capsule environment on the ground， the rat model of simulated weightlessness was established by the tail suspension method. Rats were randomly grouped as follows： out-of-capsule control， in-capsule control， model， and high （3.0 g·kg^-1） and low （1.5 g·kg^-1） doses of Taikong Yangxin Pills， and they were administrated with corresponding drugs by gavage for 28 days. The serum levels of endogenous metabolites in rats were determined by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF/MS）. The obtained data were processed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） to screen for differential metabolites and potential biomarkers. MetaboAnalyst 5.0 was used for pathway enrichment analysis to explain the metabolic regulation mechanism of the drug. ResultsCompared with the out-of-capsule control group， the in-capsule control group showed elevated levels of thirteen metabolites， including 14-hydroxyhexadecanoic acid， linoleic acid， and α-linolenic acid （P<0.05）， which suggested that the space capsule environment mainly affected the metabolism of α-linolenic acid and linoleic acid in the rats. Compared with the in-capsule control group， the model group showed lowered levels of fourteen metabolites， including 4-imidazolone-5-propionic acid， isocitric acid/citric acid， and L-tyrosine （P<0.05）， which were recovered after the treatment with Taikong Yangxin pills （P<0.05）. The pathway enrichment analysis revealed that weightlessness induced by tail suspension and drug intervention mainly involved the phenylalanine， tyrosine， and tryptophan biosynthesis， tyrosine metabolism， histidine metabolism， and citric acid cycle. ConclusionThe simulated space capsule environment and simulated weightlessness induced by tail suspension can both affect the metabolism level of rats. Taikong Yangxin pills can ameliorate the metabolic abnormality in the rat model of weightlessness by regulating various amino acids and energy metabolism-related pathways.

ObjectiveTo establish the fingerprints of 15 batches of Hengzhi Kechuan capsules， to quantitatively analyze 10 index components， and to evaluate the quality uniformity of samples from different batches. MethodsThe fingerprints and quantitative analysis of Hengzhi Kechuan capsules were established by a combination method of high performance liquid chromatography coupled with diode array detector and charged aerosol detector（HPLC-DAD-CAD）， adenosine， guanosine， vanillic acid， safflomin A， agarotetrol， naringin， hesperidin， militarine， ginsenoside Rb₁， and glycyrrhizic acid were selected as quality attribute indexes. A total of 15 batches of Hengzhi Kechuan capsules from 2022 to 2024（3 boxes per batch） were qualitatively and quantitatively analyzed， and the quality uniformity level of the manufacturers was characterized by parameters of intra-batch consistency（P_A） and inter-batch consistency（P_B）. The homogeneity and difference of quality attribute indexes of samples from different years were analyzed by heatmap clustering analysis. ResultsHPLC fingerprints and quantitative method of Hengzhi Kechuan capsules were established， and the methods could be used for qualitative and quantitative analysis of this preparation， which was found to be stable and reliable by method validation. The similarity of fingerprints of 15 batches of samples was 0.887-0.975， a total of 13 common peaks were calibrated， and 10 common peaks were designated， all of which were quality attribute index components. The results of quantitative analysis showed that the contents of the above 10 ingredients in the samples were 0.038-0.078， 0.115-0.251， 0.007-0.018， 0.291-0.673， 0.122-0.257， 0.887-1.905， 1.841-3.364， 1.412-2.450， 2.207-3.112， 0.650-1.161， respectively. And the contents of ginsenoside Rb₁ and glycyrrhizic acid met the limit requirements in the 2020 edition of Chinese Pharmacopoeia. For the samples from 15 batches， the P_A values of the 10 index components were all <10%， indicating good intra-batch homogeneity， and the P_B values ranged from 33.86% to 92.97%， suggesting that the inter-batch homogeneity was poor. Heatmap clustering analysis showed that the samples from different years were clustered into separate categories， and adenosine， guanosine， safflomin A， naringin， hesperidin and agarotetrol were the main differential components. ConclusionThe intra-annual quality uniformity of Hengzhi Kechuan capsules is good and the inter-annual quality uniformity is insufficient， which may be related to the quality difference of Pinellinae Rhizoma Praeparatum， Carthami Flos， Citri Sarcodactylis Fructus， Citri Reticulatae Pericarpium， Aquilariae Lignum Resinatum， Citri Fructus， etc. In this study， the fingerprint and multi-indicator determination method of Hengzhi Kechuan capsules was established， which can be used for more accurate and efficient quality control and standardization enhancement.

Objective:To investigate the correlation between lymphocyte-monocyte ratio (LMR) and long-term prognosis after distal cholangiocarcinoma.Methods:A retrospective case-control study was conducted to analyze the clinical data of 186 patients with distal cholangiocarcinoma who underwent radical pancreaticoduodenectomy at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2013 to December 2023. Among them, there were 109 males and 77 females, with an age of (65.4±9.4) years, ranging from 29 to 85 years. The data of preoperative peripheral blood routine examination of the patients were collected, and the patients were divided into a high LMR group(LMR>2.98, n=100) and a low LMR group(LMR≤2.98, n=86). The preoperative, intraoperative and postoperative clinical characteristics of the two groups were compared. Measurement data with normal distribution were expressed as mean±standard deviation ( ± s), and t-test was used for inter-group comparison. Measurement data with non-normal distribution were expressed as M( Q1, Q3), and Mann-Whitney U test was used for inter-group comparison. Chi-square test was used for inter-group comparison of count data. The Cox proportional hazards regression model was used for univariate and multivariate prognostic analysis, and the Kaplan-Meier estimation method was used to create survival curves to analyze and evaluate the influencing factors of long-term prognosis after distal cholangiocarcinoma surgery. Results:Univariate analysis results showed that gender, age, BMI, history of diabetes, carcinoembryonic antigen; operation duration, intraoperative blood loss; resection margin status, degree of tumor cell differentiation, and presence of postoperative complications had no statistically significant differences in their impact on the prognosis of patients after distal cholangiocarcinoma surgery( P>0.05). In contrast, LMR, neutrophilto-lymphocyte ratio, platelet-lymphocyte ratio, albumin, total bilirubin, carbohydrate antigen 199, intraoperative blood transfusion, tumor diameter, and lymph node metastasis showed statistically significant differences in their influence on the postoperative prognosis of distal cholangiocarcinoma patients( P<0.05). Multivariate analysis results indicated that LMR≤2.98( HR=1.776, 95% CI: 1.153-2.736), CA19-9>37 U/mL( HR=1.521, 95% CI: 1.025-2.259), and lymph node metastasis( HR=1.601, 95% CI: 1.106-2.318) were independent risk factors affecting patient prognosis( P<0.05). The 1-, 3-, and 5-year cumulative survival rates in the high LMR group were 91%, 40%, and 20% respectively, while those in the low LMR group were 58.1%, 15.1%, and 8.1% respectively, with a statistically significant difference( P<0.05). Conclusion:Preoperative LMR for distal cholangiocarcinoma can suggest a long-term prognosis, and a low LMR value suggests a poor prognosis.

OBJECTIVE To understand the current status of antimicrobial agent usage intensity(AUD)of antibiot-ics,carbapenems(CB)and isolation rates of carbapenem-resistant gram-negative bacteria(CRGNB)and explore the effect of CB on hospital-associated CRGNB infections.METHODS A retrospective analysis was conducted on antimicrobial agent usage and clinical data of the patients who were hospitalized in Nantong University Affiliated Hospital from 2023 to 2024.The antimicrobial usage patterns,CB-AUD and isolation rates of CRGNB were sta-tistically analyzed.Additionally,the clinical data from 1933 confirmed hospital-acquired infection cases from 2023 to 2024 were retrospectively analyzed,and the patients were classified into two groups based on CRGNB resist-ance:the CRGNB-infected group with 376 cases and the non-CRGNB-infected group with 1557 cases.The risk factors for CRGNB infections were identified.RESULTS In the two years,the overall utilization rate of antimicro-bial drug and AUD fluctuated every six months(P＜0.05).The overall define daily dose system(DDDs)and AUD of the three CBs(meropenem,imipenem/cilastatin and biapenem)increased every six months(P＜0.05).The o-verall drug resistance rate of gram-negative bacilli to CB decreased every six months(P＜0.05).The logistic re-gression analysis showed that the duration of use of CB and combined use of antibiotics were the risk factors for the CRGNB infections(with the OR values,1.445,2.479,1.958,respectively,all P＜0.05).CONCLUSIONS The overall use of CB is on the rise.The use of CB,especially the duration of CB,increases the probability of CRGNB infection.Therefore,it is necessary for the hospital to strengthen the monitoring of CB-AUD and supervi-sion of CB.