Objective:To investigate the correlation between long-term statin use and Helicobacter pylori( Hp)infection in the elderly, and to compare the effects of rosuvastatin combined with bismuth-containing quadruple therapy for Hp eradication on lipid levels in elderly patients with mixed hyperlipidemia. Methods:A retrospective analysis was conducted on 1 181 elderly patients with hyperlipidemia, cardiovascular and cerebrovascular diseases, and peripheral arterial disease who were treated at the First Hospital of Lanzhou University between March 2019 and December 2023.According to the results of carbon 14 urea breath test(C 14-UBT), the subjects were divided into the Hp infection group and the non- Hp infection group.Multivariate logistic regression methods were used to analyze the correlation between Hp infection and statin use.A prospective case-control analysis was conducted on 109 patients with mixed hyperlipidemia and Hp infection treated during the same period, they were treated with rosuvastatin combined with bismuth-containing quadruple therapy for Hp eradication.The successful eradication people were selected as the eradication group (n=95). Patients with hyperlipidemia and Hp infection unwilling eradication was selected as the control group (n=109), and treated with rosuvastatin.Changes in lipid levels were compared over a consecutive 6-month period. Results:The overall Hp infection rate was 53.94%(637/1 181). Univariate analysis showed that the infection rate in women was higher than in men.Body mass index(BMI), low-density lipoprotein cholesterol(LDL-C), fasting blood glucose(FBG)levels in the Hp(+ )group were higher than in the Hp(-)group.Long-term low-dose aspirin users had a higher infection rate than non-users.The infection rate was lower in statin users than in non-users[42.65%(374/877) vs.55.59%(169/304), χ2=15.234, P<0.001]. Multivariate analysis showed that women had a higher infection risk than men ( OR=1.441, 95% CI: 1.102-1.729, P=0.011). Higher FBG and LDL-C levels increased the risk of Hp infection ( OR=1.406, 95% CI: 1.271-2.286, P<0.001, OR=1.118, 95% CI: 1.017-1.387, P=0.010). Aspirin use increased the risk of Hp infection( OR=1.162, 95% CI: 1.034-1.294, P=0.021), while statin use reduced the risk of Hp infection ( OR=0.177, 95% CI: 0.018-0.311, P<0.001). The Hp eradication rate was 87.16%(95/109). At 1-and 2-months post-eradication, statistically significant differences were observed between the eradication and control groups in LDL-C, total cholesterol(TC), changes from baseline, and target achievement rates(all P<0.05). At 1-month post-eradication, a statistically significant difference was observed in high-density lipoprotein cholesterol(HDL-C) levels between the two groups.Additionally, at both 1-and 2-months post-eradication, significant differences were found in the changes in HDL-C levels from baseline between the eradication group and the control group(all P<0.05). Conclusions:Long-term statin use in the elderly may reduce the risk of Hp infection.Rosuvastatin combined with a standard quadruple therapy does not improve the Hp eradication rates in elderly patients with mixed hyperlipidemia, but it facilitates short-term achievement of cholesterol targets.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To investigate the correlation between long-term statin use and Helicobacter pylori( Hp)infection in the elderly, and to compare the effects of rosuvastatin combined with bismuth-containing quadruple therapy for Hp eradication on lipid levels in elderly patients with mixed hyperlipidemia. Methods:A retrospective analysis was conducted on 1 181 elderly patients with hyperlipidemia, cardiovascular and cerebrovascular diseases, and peripheral arterial disease who were treated at the First Hospital of Lanzhou University between March 2019 and December 2023.According to the results of carbon 14 urea breath test(C 14-UBT), the subjects were divided into the Hp infection group and the non- Hp infection group.Multivariate logistic regression methods were used to analyze the correlation between Hp infection and statin use.A prospective case-control analysis was conducted on 109 patients with mixed hyperlipidemia and Hp infection treated during the same period, they were treated with rosuvastatin combined with bismuth-containing quadruple therapy for Hp eradication.The successful eradication people were selected as the eradication group (n=95). Patients with hyperlipidemia and Hp infection unwilling eradication was selected as the control group (n=109), and treated with rosuvastatin.Changes in lipid levels were compared over a consecutive 6-month period. Results:The overall Hp infection rate was 53.94%(637/1 181). Univariate analysis showed that the infection rate in women was higher than in men.Body mass index(BMI), low-density lipoprotein cholesterol(LDL-C), fasting blood glucose(FBG)levels in the Hp(+ )group were higher than in the Hp(-)group.Long-term low-dose aspirin users had a higher infection rate than non-users.The infection rate was lower in statin users than in non-users[42.65%(374/877) vs.55.59%(169/304), χ2=15.234, P<0.001]. Multivariate analysis showed that women had a higher infection risk than men ( OR=1.441, 95% CI: 1.102-1.729, P=0.011). Higher FBG and LDL-C levels increased the risk of Hp infection ( OR=1.406, 95% CI: 1.271-2.286, P<0.001, OR=1.118, 95% CI: 1.017-1.387, P=0.010). Aspirin use increased the risk of Hp infection( OR=1.162, 95% CI: 1.034-1.294, P=0.021), while statin use reduced the risk of Hp infection ( OR=0.177, 95% CI: 0.018-0.311, P<0.001). The Hp eradication rate was 87.16%(95/109). At 1-and 2-months post-eradication, statistically significant differences were observed between the eradication and control groups in LDL-C, total cholesterol(TC), changes from baseline, and target achievement rates(all P<0.05). At 1-month post-eradication, a statistically significant difference was observed in high-density lipoprotein cholesterol(HDL-C) levels between the two groups.Additionally, at both 1-and 2-months post-eradication, significant differences were found in the changes in HDL-C levels from baseline between the eradication group and the control group(all P<0.05). Conclusions:Long-term statin use in the elderly may reduce the risk of Hp infection.Rosuvastatin combined with a standard quadruple therapy does not improve the Hp eradication rates in elderly patients with mixed hyperlipidemia, but it facilitates short-term achievement of cholesterol targets.

Objective:To analyze the clinical presentations and diagnostic and treatment process of one patient with autoimmune encephalitis(AE)with double positive anti-N-methyl-D-aspartate receptor(NMDAR)and anti-γ-aminobutyric acid B receptor(GABABR)secondary to herpes simplex virus encephalitis(HSVE),and to improve the clinicians'awareness of this disease.Methods:The clinical data of one AE patient with double positive anti-NMDAR and anti-GABABR secondary to HSVE were collected,the diagnostic and therapeutic processes were summarized,and the relevant literatures were reviewed.Results:The patient,a 36-year-old male,developed a headache followed by limb convulsions,and progressed to disturbed consciousness.After admission,the routine biochemistry of the cerebrospinal fluid(CSF)was abnormal,and the herpes simplex virus-1(HSV-1)IgG antibody showed positive in the CSF;both CSF and serum tests for NMDAR antibodies were positive;the head magnetic resonance imaging(MRI)results showed abnormal signals in the right occipital white matter,leading to the diagnosis of HSVE secondary to anti-NMDAR encephalitis.Several months later,the patient experienced psychiatric behavior abnormalities,cognitive dysfunction,and sleep disorders,and both the serum NMDAR and GABABR antibodies showed positive results,prompting the diagnosis of HSVE secondary anti-NMDAR encephalitis and anti-GABABR encephalitis.After treatment with steroid pulse therapy and intravenous immunoglobulin(IVIG),the patient's condition was improved and the patient was discharged.At one-year follow-up,the patient's psychiatric symptoms had completely resolved,leaving mild cognitive impairment.Conclusion:If the clinical symptoms of the patients recovering from antiviral treatment for HSVE is worsened,secondary AE should be highly suspected;it is important to complete autoimmunity antibody testing as soon as possible for the early diagnosis and treatment to improve the prognosis of the patient.

ObjectiveTo investigate the material basis of homologous and heterogeneous effect of Aurantii Fructus Immaturus（AFI） and Aurantii Fructus（AF） based on the total statistical moment analysis and molecular connectivity index（MCI）. MethodRelevant literature at home and abroad and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP） were consulted to establish the chemical composition database of AFI and AF， and set up their fingerprints by ultra-high performance liquid chromatography（UPLC）， and the total statistical moments and similarity parameters of the fingerprint were calculated. According to MCI， all components of AFI and AF were divided into different component groups， the average values of 0-8^th order（⁰χ-⁸χ） MCI of the common component groups of AFI and AF were calculated. ResultThe values of total zero-order moment（AUC_T） of AFI and AF were （10.57±2.45）×10⁶， （5.09±0.89）×10⁶ μV·s， the values of total first-order moment（MCRT_T） were （11.57±1.58）， （12.10±1.29） min， the values of total second-order moments（VCRT_T） were（24.49±2.30）， （26.49±2.54） min²， respectively. It showed that qualitative and quantitative parameters of AFI and AF were significantly different. The components with high similarity such as neohesperidin， hesperidin and narirutin were screened as the common potential pharmacodynamic components of AFI and AF. The non-common components of AFI， such as alysifolinone and imperatorin， and the non-common components of AF， such as neoeriocitrin and isosakuranin， with high similarity were screened out as potential heterogeneous components of AFI and AF. The composition groups of AFI and AF were classified into six categories， and the similarities between the composition groups of AFI and AF and the total constituents were 0.872-0.979 and 0.918-0.997， the average values of ⁰χ-⁸χ MCI of alkaloids in AFI and AF were 3.65 and 3.14， the average values of ⁰χ-⁸χ MCI of flavonoids were 8.47 and 8.47， the average values of ⁰χ-⁸χ MCI of volatile oils were 2.71 and 3.48， respectively. It showed that there were some differences in MCI of chemical constituents（groups） between AFI and AF. ConclusionThe chemical constituents（groups） of AFI and AF not only differ in content and species， but also in structural characteristics and structure-activity relationship， which can provide a basis for further explaining the scientific connotation of homologous and heterogeneous effect of AFI and AF.

In order to investigate the effects of porin genes ompW,ompS and ompD on the biological properties and virulence of Salmonella typhimurium,the corresponding mutant strains were con-structed using the λ Red homologous recombination system,and the growth curves,motility,bio-chemical properties,in vitro genetic stability,biofilm-forming ability,drug resistance,and lethal dose at half capacity(LD50)between the standard strain and each mutant strain were detected by comparative assays for Salmonella typhimurium.The results showed that,compared with the standard strain,the ompD and ompW mutation had less effect on the growth rate and motility of the bacteria,while the ompS mutation significantly reduced the growth rate and motility;none of the three genetic mutation affected the biochemical characteristics of Salmonella typhimurium,nor the genetic stability,but affected its susceptibility to a variety of commonly used antibiotics to varying degrees and caused a highly significant decrease(P＜0.01)in the ability to form a biofilm,and the results showed that the three mutant strains had a significant reduction in the ability to form a biofilm.The result of LD50 virulence assay showed that all three genetic mutation led to a decrease in the virulence of Salmonella typhimurium,among which the ompS mutant strain showed the most obvious decrease in virulence,LD50 was 25 times that of the standard strain.In conclusion,mutations of the pore protein ompW,ompS,and ompD genes can affect some biological properties of Salmonella typhimurium.The results of this study laid an experimental foundation for further research on the biological functions of the pore protein ompW,ompS and ompD genes and Salmonella pathogenicity.

Objective To explore the promoting effect of egg yolk oil combined with heat-clearing and detoxi-fying traditional Chinese medicine external washing on postoperative wound healing in patients with perianal abscesses based on growth factors in the wound granu-lation tissue.Methods Eighty patients with perianal abscesses admitted to our hospital from January 2023 to May 2023 were randomly divided into a control group and an observation group,with 40 patients in each group.Three days after surgery,the control group received routine treatment,such as external washing with heat-clearing and detoxifying Chinese herbal medicine and dressing changes with vase-line gauze.The observation group received additional treatment with egg yolk oil,and both groups were treated continuously for 7 days.The clinical efficacy,improvement in clinical symptoms,and wound recovery at different time points;serum inflammatory cytokines;and expression levels of wound granulation tissue-related factors were compared between the two groups.Results The total effective rate was higher in the observation group than the control group(95%vs.75%,P<0.05).The time of pruritus disappearance,decaying flesh,emer-gence of new epithelium,and healing were shorter in the observation group than in the control group(P<0.05).The pain degree,wound secretion,granulation morphology and surrounding tissue edema score of the observation group were significantly decreased at 7 and 10 days after surgery compared with the control group(P<0.05).Serum levels of interleukin(IL)-1β,IL-8,and tumor necrosis factor-α were lower in the observation group than the control group at 7 and 10 days after surgery(P<0.05).The levels of basic fibroblast growth factor,vascular endothelial cell growth factor,and transforming growth factor-βin wound granulation tissue were higher in the observation group than the control group at 7 and 10 days after surgery(P<0.05).Conclusion The external application of egg yolk oil combined with heat-clearing and detoxifying Chinese herbs can significantly improve the clinical symptoms of patients with perianal abscesses and promote wound healing,with significant therapeutic effects.This may be related to the inhibition of inflammatory cytokine expression and the promotion of wound granulation tissue growth factor expression.

Objective To predict risk factors affecting the prognosis of HIV/AIDS patients with Candida infection, providing clinicians with predictors for early identifying high-risk patients. Methods Clinical data were collected from HIV/AIDS patients with Candida infection admitted to an infectious disease hospital in Guangxi from January 2012 to June 2019. Patients were divided into a death group and a survival group according to their different prognostic outcomes. Cases were randomly selected and matched using propensity score matching (PSM) at a ratio of 1∶3 (death: survival) to construct the model. The data were split into a training set and a testing set at a ratio of 7∶3. Various machine learning models were built, and the optimal model was selected as the final prediction model by comprehensively evaluating the model performance. Finally, the SHAP values were used to interpret the features of the model and analyze the influencing factors of patients' prognostic outcomes. Results A total of 3 098 HIV/AIDS patients with Candida infection were collected. From 2012 to June 2019, the in-hospital mortality rate of HIV/AIDS patients with Candida infection showed a linear and stable downward trend (P=0.043). After applying PSM, data from 1 620 cases were used to construct six different machine learning models, among which the XGBoost model had the best performance (training/testing set, AUC=0.98/0.85, sensitivity=0.93/0.75, specificity=0.93/0.84). Respiratory failure, urea, and LDH levels were thought to be the three major factors affecting the prognostic outcomes of HIV/AIDS patients with Candida infection. Conclusions The XGBoost model showed good predictive performance in predicting prognostic outcomes of HIV/AIDS patients with Candida infection. The model can provide early warning for the identification of high-risk patients and assist clinicians to take personalized treatment measures promptly, which is of great significance for guiding clinical decision-making.

In order to establish a specific,rapid and convenient method for the detection of Campy-lobacter jejuni(C.jejuni).A set of specific primers and a probe that do not cause false positives were designed with the hipO gene of C.jejuni as the target,and the 5'ends of the downstream primers and probes were labeled with biotin and fluorescein,respectively.C.jejuni-RPA-LFD had no cross-reactivity with Klebsiella pneumoniae,Escherichia coli,Pseudomonas,Bacillus cereus,Pasteurella,Proteus mirabilis,and Salmonella typhimurium,and the optimal reaction system was 37 ℃,25 min,and its sensitivity could reach 3.93×100 copies/μL,and 1 × 102 CFU/mL of C.jejuni contaminated stool samples could be detected in the simulated detection.The C.jejuni-RPA-LFD established in this study has the advantages of good specificity,simplicity,rapidity and high sensitivity,which provides an effective way for the rapid diagnosis of C.jejuni and the con-trol of the spread of C.jejuni at the grassroots level of livestock and poultry farming.