ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective:To excplore the risk factors for myocardial damage in patients with systemic lupus erythematosus (SLE) and the value of application of resting gated nuclear myocardial imaging.Methods:A total of 64 lupus patients who were hospitalized in Wuxi People′s Hospital from January 2021 to December 2022 were included, and the patients′ clinical data, imaging data, and test reports were retrospectively analyzed using paired χ2 test, t test, Wilcoxon rank-sum test, Mann-Whitney U test, and binary logistic regression analysis. Results:①Among the 64 patients with lupus, 19(29.7%) had abnormal radionuclide myocardial imaging, 23 (35.9%) had elevated BNP, and 6 (9.4%) had myocardial involvement on echocardiography. There was no statistical difference between radionuclide myocardial imaging and BNP ( Kappa=0.294, P=0.503), but there was a significant difference between radionuclide myocardial imaging and echocardiography ( Kappa=0.394, P<0.001). ②There was no statistical difference in the EF values measured by resting gated myocardial radionuclide imaging and echocardiography [(64.9±9.6)% vs. (63.2±5.6)%, Z=-1.73, P=0.083]. ③Compared with the normal myocardial group, the myocardial damage group had higher BNP value [(912±1729)pg/ml vs. (297±572)pg/ml, t=-3.05, P=0.002], ESR[(56±42)mm/1 h vs. (34±27)mm/1 h, t=-2.17, P=0.030], and SDI scores[2.16±1.30 vs. 1.04±0.85, t=-3.43, P=0.002], more patients with a course of disease≥10 years [57.9% vs. 28.9%, Z=2.17, P=0.030], and anti-U1RNP antibody[52.6% 24.4%, Z=-2.18, P=0.029] and anti-SSB antibody[31.6% vs. 11.1% Z=-1.97, P=0.049] were statistically different. ④Through binary logistic regression analysis, SDI score [ OR ( 95%CI)=2.444 (1.195, 4.998), P=0.014], anti-U1RNP antibody [ OR ( 95%CI)=4.569 (1.036, 20.150), P=0.045] and disease duration≥10 years [ OR ( 95%CI)=5.218 (1.210, 22.496), P=0.027] were independent risk factors for myocardial damage in SLE patients. Conclusion:Resting gated radionuclide myocardial imaging can accurately provide ventricular motion parameters and can detect myocardial damage in SLE patients at early stage. Disease duration ≥10 years, high SDI score, and positive anti-U1RNP antibodies are independent risk factors for myocardial damage in SLE patients.

Objective:To excplore the risk factors for myocardial damage in patients with systemic lupus erythematosus (SLE) and the value of application of resting gated nuclear myocardial imaging.Methods:A total of 64 lupus patients who were hospitalized in Wuxi People′s Hospital from January 2021 to December 2022 were included, and the patients′ clinical data, imaging data, and test reports were retrospectively analyzed using paired χ2 test, t test, Wilcoxon rank-sum test, Mann-Whitney U test, and binary logistic regression analysis. Results:①Among the 64 patients with lupus, 19(29.7%) had abnormal radionuclide myocardial imaging, 23 (35.9%) had elevated BNP, and 6 (9.4%) had myocardial involvement on echocardiography. There was no statistical difference between radionuclide myocardial imaging and BNP ( Kappa=0.294, P=0.503), but there was a significant difference between radionuclide myocardial imaging and echocardiography ( Kappa=0.394, P<0.001). ②There was no statistical difference in the EF values measured by resting gated myocardial radionuclide imaging and echocardiography [(64.9±9.6)% vs. (63.2±5.6)%, Z=-1.73, P=0.083]. ③Compared with the normal myocardial group, the myocardial damage group had higher BNP value [(912±1729)pg/ml vs. (297±572)pg/ml, t=-3.05, P=0.002], ESR[(56±42)mm/1 h vs. (34±27)mm/1 h, t=-2.17, P=0.030], and SDI scores[2.16±1.30 vs. 1.04±0.85, t=-3.43, P=0.002], more patients with a course of disease≥10 years [57.9% vs. 28.9%, Z=2.17, P=0.030], and anti-U1RNP antibody[52.6% 24.4%, Z=-2.18, P=0.029] and anti-SSB antibody[31.6% vs. 11.1% Z=-1.97, P=0.049] were statistically different. ④Through binary logistic regression analysis, SDI score [ OR ( 95%CI)=2.444 (1.195, 4.998), P=0.014], anti-U1RNP antibody [ OR ( 95%CI)=4.569 (1.036, 20.150), P=0.045] and disease duration≥10 years [ OR ( 95%CI)=5.218 (1.210, 22.496), P=0.027] were independent risk factors for myocardial damage in SLE patients. Conclusion:Resting gated radionuclide myocardial imaging can accurately provide ventricular motion parameters and can detect myocardial damage in SLE patients at early stage. Disease duration ≥10 years, high SDI score, and positive anti-U1RNP antibodies are independent risk factors for myocardial damage in SLE patients.

Objective:To construct a novel dual-specific antibody targeting human CD123 (CD123 DuAb) and study its effects in acute myeloid leukemia (AML) .Methods:Based on the variable region of the CD123 monoclonal antibody independently developed at our institution, the CD123 DuAb expression plasmid was constructed by molecular cloning and transfected into ExpiCHO-S cells to prepare the antibody protein. Through a series of in vitro experiments, its activation and proliferation effect on T cells, as well as the effect of promoting T-cell killing of AML cells, were verified.Results:① A novel CD123 DuAb plasmid targeting CD123 was successfully constructed and expressed in the Expi-CHO eukaryotic system. ②The CD123 DuAb could bind both CD3 on T cells and CD123 on CD123 + tumor cells. ③When T cells were co-cultured with MV4-11 cells with addition of the CD123 DuAb at a concentration of 1 nmol/L, the positive expression rates of CD69 and CD25 on T cells were 68.0% and 44.3%, respectively, which were significantly higher than those of the control group ( P<0.05). ④Co-culture with CD123 DuAb at 1 nmol/L promoted T-cell proliferation, and the absolute T-cell count increased from 5×10 5/ml to 3.2×10 6/ml on day 9, and CFSE fluorescence intensity decreased significantly. ⑤ With the increase in CD123 DuAb concentration in the culture system, T-cell exhaustion and apoptosis increased. When the CD123 DuAb was added at a concentration of 1 nmol/L to the culture system, the proportion of CD8 + PD-1 + LAG-3 + T cells was 10.90%, and the proportion of propidium iodide (PI) - Annexin Ⅴ + T cells and PI + Annexin Ⅴ + T cells was 18.27% and 11.43%, respectively, which were significantly higher than those in the control group ( P<0.05). ⑥ The CD123 DuAb significantly activated T cells, and the activation intensity was positively correlated with its concentration. The expression rate of CD107a on T cells reached 16.05% with 1 nmol/L CD123 DuAb, which was significantly higher than that of the control group ( P<0.05). ⑦The CD123 DuAb promoted cytokine secretion by T cells at a concentration of 1 nmol/L, and the concentration of IFN-γ and TNF-α in the supernatant of the co-culture system reached 193.8 pg/ml and 169.8 pg/ml, respectively, which was significantly higher than that of the control group ( P<0.05). ⑧When CD123 DuAb was added at a concentration of 1 nmol/L to the co-culture system of T cells and CD123 + tumor cells, the killing intensity of T cells significantly increased, and the residual rates of CD123 + MV4-11 cells, CD123 + Molm13 cells, and CD123 + THP-1 cells were 7.4%, 6.7%, and 14.6% on day 3, respectively, which were significantly lower than those in the control group ( P<0.05) . Conclusion:In this study, a novel CD123 DuAb was constructed and expressed. In vitro experiments verified that the DuAb binds to CD123 + tumor cells and T cells simultaneously, promotes T-cell activation and proliferation, and facilitates their anti-leukemia effect, which provides a basis for further clinical research.

Objective To construct a risk prediction model for ventilator-associated pneumonia(VAP)in trauma patients and evaluate its efficacy.Methods A single-center retrospective study was conducted,trauma patients admitted to the department of emergency intensive care unit(EICU)of Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine from January 1,2018 to January 1,2023 were selected as the study subjects,and the patients were divided into VAP group and non-VAP group.Differences between the two groups in variables including demographic characteristics,clinical data,and clinical scores.To prevent overfitting,differences between the groups were reduced using LASSO regression.Multifactor Logistic regression was used to identify risk factors for VAP in trauma patients and construct a risk prediction model.The model's discrimination was evaluated using the receiver operator characteristic curve(ROC curve)and area under the curve(AUC).The calibration curve was drawn and Hosmer-Lemeshow test were performed to evaluate the calibration degree of the model.Decision curve analysis(DCA)and clinical impact curve(CIC)were used to analyse the model's net benefit at different probability thresholds.Results A total of 888 trauma patients were included,among which 166 cases(18.7%)were diagnosed with VAP.Compared to the non-VAP group,the VAP group showed a significant increase in age,age-adjusted Charlson comorbidity index(aCCI)scores,white blood cell count(WBC),sequential organ failure assessment(SOFA)scores,length of ICU stay,and the proportion of patients with chest trauma,traumatic brain injury,and spinal cord injury.In contrast,hemoglobin(Hb),Glasgow coma scale(GCS)scores,and body mass index(BMI)were significantly lower in the VAP group(all P<0.05).Using LASSO regression,four variables were identified as important predictors for the occurrence of VAP in trauma patients:length of ICU stay,aCCI,WBC,and SOFA score.Multivariate Logistic regression showed that length of ICU stay[odds ratio(OR)and 95%confidence interval(95%CI)was 1.094(1.070-1.117)],aCCI[OR(95%CI)was 1.135(1.065-1.210)],WBC[OR(95%CI)was 1.139(1.104-1.176)],and SOFA score[OR(95%CI)was 1.137(1.080-1.197)]were independent risk factors for the occurrence of VAP in trauma patients(all P<0.05).Based on these influencing factors,a predictive model for VAP occurrence was constructed.ROC curve analysis showed that the AUC for predicting VAP occurrence in trauma patients was 0.876,with a 95%CI was 0.850-0.903,a sensitivity of 86.14%,and a specificity of 75.17%,indicating that the model has a high discriminative ability.Hosmer-Lemeshow test:χ2=7.7,P=0.2,Cox&Snell R2=0.236,Nagelkerke R2=0.387,the calibration curve was very close to the diagonal,and the mean absolute error(MAE)=0.03,indicating the model's predictions were highly consistent with actual clinical observations.The DCA and CIC curves indicate that within the threshold probability of<70%,using this model to identify high-risk groups for VAP in trauma patients and making clinical decisions can provide benefits in clinical practice.Conclusion The risk prediction model of VAP in trauma patients constructed in this study has high discrimination and calibration,which can provide reference for medical personnel to identify high-risk groups of VAP among trauma patients at an early stage and provide targeted intervention measures.

Objective:To build a systematic and standardized nutrition management plan for patients with chronic kidney disease.Methods:Based on the nutrition care procedure and model, a preliminary draft of a nutrition management plan for chronic kidney disease patients was developed through a literature search, quality evaluation, and group discussions. After two rounds of expert consultation and revision of the preliminary draft of the nutrition management plan, the final plan was formed.Results:A total of 32 experts were invited to complete two rounds of consultation. In two rounds of expert consultation, 32 questionnaires were distributed, and 32 and 31 valid questionnaires were collected, with valid response rates of 100.0% and 96.9%, respectively. The expert authority coefficients were 0.853 and 0.871, respectively. The final nutrition management plan for chronic kidney disease patients included six first-level items of nutrition management personnel: nutrition risk screening, nutrition assessment, nutrition treatment, nutrition monitoring, and nutrition health education, with 23 second-level and 52 third-level items.Conclusions:The constructed nutrition management plan for chronic kidney disease patients is scientific and can provide a reference for nutrition guidance.

Objective:To explore the influencing factors of intracranial hemorrhage in elderly patients with acute occlusion of intracranial arteries after treatment and reperfusion.Methods:A retrospective selection was conducted on elderly patients with acute occlusion of the intracranial artery who were treated at the Hebei Petro China Central Hospital from February 2019 to May 2021. Sixty patients who received mechanical thrombectomy treatment were selected as the observation group, and 60 patients who received combined arterial and venous thrombolysis treatment were selected as the control group. The vascular reperfusion rate and incidence of intracranial hemorrhage were observed and compared between the two groups. Meanwhile, multiple logistic regression analysis was used to identify the influencing factors of intracranial hemorrhage.Results:The reperfusion rate of the observation group′s blood vessels was 85.00%(51/60), significantly higher than the control group′s 68.33%(41/60), and the difference was statistically significant (χ 2=4.658, P=0.031). The National Institutes of Health Neurological Deficit Score (NIHSS) of the observation group after treatment was (10.57±2.23), significantly lower than that of the control group (14.73±2.84), and the difference was statistically significant ( P<0.05). The reperfusion rate of blood vessels in patients under 80 years old in the observation group was significantly higher than that in patients ≥80 years old ( P<0.05). The results of univariate analysis showed that there were statistically significant differences in age, NIHSS at admission, Alberta Stroke Program Early CT Score (ASPECTS), and neutrophil absolute value/lymphocyte ratio (NLR) between patients with and without intracranial hemorrhage (all P<0.05); Multivariate logistic regression analysis showed that age ( OR=1.756, 95% CI: 1.184-2.604) and NIHSS at admission ( OR=2.392, 95% CI: 1.401-4.084) were risk factors for postoperative intracranial hemorrhage in elderly patients with acute occlusion of the large intracranial artery, while ASPECTS ( OR=0.364, 95% CI: 0.190-0.697) was a protective factor. Conclusions:Mechanical thrombectomy has good clinical efficacy in the treatment of elderly patients with acute occlusion of intracranial arteries, and is worthy of clinical use; The intracranial hemorrhage after reperfusion is mainly influenced by the patient′s age, NIHSS at admission, and ASPECTS.

Objective To investigate the influencing factors of unplanned rehospitalization within one year after surgery among adult renal transplant recipients. Methods The clinical data of 299 recipients who underwent renal transplant surgery in the Department of Organ Transplantation of the Affiliated Hospital of Guizhou Medical University from January 2020 to December 2022 were retrospectively analyzed. The recipients were divided into unplanned rehospitalization group and non-rehospitalization group based on whether they experienced unplanned rehospitalization within one year after surgery. Univariate analysis and binary Logistic regression analysis were performed to explore the influencing factors of unplanned rehospitalization within one year after renal transplantation. Results Among the 299 recipients, 102 experienced unplanned rehospitalization, with an incidence rate of 34.11%. Univariate analysis revealedstatistically significant differences were noted between the two groups in terms of gender, occupational status, preoperative underlying disease, rejection reactions, nosocomial infections, immunosuppressive medication regimens, serum creatinine, cystatin C, serum phosphorus, serum potassium, and initial hospitalization duration (P < 0.05). Binary Logistic regression analysis showed that having ≥3 kinds of preoperative underlying disease (OR=2.122, 95%CI, 1.198 to 3.759) and experiencing rejection reactions (OR=3.162, 95%CI, 1.217 to 8.218) were independent risk factors for unplanned rehospitalization within one year after renal transplantation (P < 0.05). Conclusion The rate of unplanned rehospitalization within one year after surgery is relatively high among adult renal transplant recipients. Having ≥3 preoperative underlying disease and experiencing rejection reactions are independent risk factors for unplanned rehospitalization within one year after surgery. Transplantation healthcare teams can develop corresponding strategies targeting these risk factors to reduce the rate of unplanned rehospitalization and alleviate the burden of disease.

Objective To construct a risk prediction model for ventilator-associated pneumonia(VAP)in trauma patients and evaluate its efficacy.Methods A single-center retrospective study was conducted,trauma patients admitted to the department of emergency intensive care unit(EICU)of Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine from January 1,2018 to January 1,2023 were selected as the study subjects,and the patients were divided into VAP group and non-VAP group.Differences between the two groups in variables including demographic characteristics,clinical data,and clinical scores.To prevent overfitting,differences between the groups were reduced using LASSO regression.Multifactor Logistic regression was used to identify risk factors for VAP in trauma patients and construct a risk prediction model.The model's discrimination was evaluated using the receiver operator characteristic curve(ROC curve)and area under the curve(AUC).The calibration curve was drawn and Hosmer-Lemeshow test were performed to evaluate the calibration degree of the model.Decision curve analysis(DCA)and clinical impact curve(CIC)were used to analyse the model's net benefit at different probability thresholds.Results A total of 888 trauma patients were included,among which 166 cases(18.7%)were diagnosed with VAP.Compared to the non-VAP group,the VAP group showed a significant increase in age,age-adjusted Charlson comorbidity index(aCCI)scores,white blood cell count(WBC),sequential organ failure assessment(SOFA)scores,length of ICU stay,and the proportion of patients with chest trauma,traumatic brain injury,and spinal cord injury.In contrast,hemoglobin(Hb),Glasgow coma scale(GCS)scores,and body mass index(BMI)were significantly lower in the VAP group(all P<0.05).Using LASSO regression,four variables were identified as important predictors for the occurrence of VAP in trauma patients:length of ICU stay,aCCI,WBC,and SOFA score.Multivariate Logistic regression showed that length of ICU stay[odds ratio(OR)and 95%confidence interval(95%CI)was 1.094(1.070-1.117)],aCCI[OR(95%CI)was 1.135(1.065-1.210)],WBC[OR(95%CI)was 1.139(1.104-1.176)],and SOFA score[OR(95%CI)was 1.137(1.080-1.197)]were independent risk factors for the occurrence of VAP in trauma patients(all P<0.05).Based on these influencing factors,a predictive model for VAP occurrence was constructed.ROC curve analysis showed that the AUC for predicting VAP occurrence in trauma patients was 0.876,with a 95%CI was 0.850-0.903,a sensitivity of 86.14%,and a specificity of 75.17%,indicating that the model has a high discriminative ability.Hosmer-Lemeshow test:χ2=7.7,P=0.2,Cox&Snell R2=0.236,Nagelkerke R2=0.387,the calibration curve was very close to the diagonal,and the mean absolute error(MAE)=0.03,indicating the model's predictions were highly consistent with actual clinical observations.The DCA and CIC curves indicate that within the threshold probability of<70%,using this model to identify high-risk groups for VAP in trauma patients and making clinical decisions can provide benefits in clinical practice.Conclusion The risk prediction model of VAP in trauma patients constructed in this study has high discrimination and calibration,which can provide reference for medical personnel to identify high-risk groups of VAP among trauma patients at an early stage and provide targeted intervention measures.