OBJECTIVE To provide valuable insights for the adjustment of anti-infectious regimens， identification of adverse reactions， and individualized pharmaceutical care in patients with critically severe scrub typhus. METHODS Clinical pharmacists actively participated in the pharmaceutical care process for a patient with severe scrub typhus leading to mixed shock undergoing continuous renal replacement therapy and extracorporeal membrane oxygenation. Initially， the patient received meropenem （1 g， q12 h， ivdrip）， in combination with doxycycline （0.1 g， q12 h， po）， which was later switched to meropenem （1 g， q8 h， ivdrip） along with omacycline （100 mg， qd， ivdrip） due to impaired gastrointestinal function. However， as the patient’s condition progressively deteriorated and the infection became uncontrolled， the clinical pharmacists recommended that the clinicians adjust the anti-infective regimen to meropenem （2 g， q8 h， ivdrip） combined with tigecycline （100 mg for first dose； 50 mg， q12 h for maintenance； ivdrip）. The clinicians followed the advice of the clinical pharmacists. After treatment， the patient’s symptoms exhibited significant improvement， accompanied by a notable decrease in inflammatory markers， indicating that the infection had been successfully controlled. However， due to continuously increasing bilirubin levels， in order to reduce the risk of drug-induced liver injury， the clinicians changed tigecycline to azithromycin （0.5 g， qd， ivdrip） following the recommendation of the clinical pharmacists. RESULTS Ultimately， metagenomic next-generation sequencing of the bronchoalveolar lavage fluid and blood specimens indicated that Orientia tsutsugamushi had been completely eradicated in the patient. CONCLUSIONS Tigecycline may be a viable therapeutic choice for patients with severe scrub typhus. In the context of critically ill patients with scrub typhus， combining tigecycline with azithromycin might potentially enhance the efficacy in eliminating Orientia tsutsugamushi.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

OBJECTIVE To analyze the influencing factors of voriconazole trough concentration and adverse drug reactions （ADR） in renal transplant recipients. METHODS Data from inpatients who received voriconazole and therapeutic drug monitoring in our hospital between January 2022 and August 2023 were retrospectively analyzed. Patients were divided into renal transplant group and non-renal transplant group based on transplantation status. A 1∶1 propensity score matching （PSM） method was used to balance differences in baselines between the two groups. Voriconazole trough concentrations， target attainment rate， clinical efficacy， and ADR were compared between the two groups. Multiple linear regression （backward） was used to analyze the factors influencing voriconazole trough concentrations in the renal transplant group. Univariate analysis and binary Logistic regression were used to identify independent risk factors for ADR in the renal transplant group. RESULTS After PSM， 48 patients were included in each group. There were no statistically significant differences in the mean voriconazole trough concentration， target attainment rate or efficacy rate between the two groups （P＞0.05）. The total incidence of ADR was significantly higher in the renal transplant group than in the non-renal transplant group （P＜0.05）. Multiple linear regression analysis showed that age， average daily dose， pulmonary infection， total bilirubin during medication， day-1 loading dose， use of the original drug， concomitant immunosuppressant use， and the occurrence of ADR were factors influencing voriconazole trough concentration in renal transplant patients （P＜0.05）. Binary Logistic regression analysis showed that abnormal direct bilirubin during medication [OR＝7.747， 95%CI （1.334， 45.005）， P＝0.023] was an independent risk factor for ADR in renal transplant patients receiving voriconazole. CONCLUSIONS Age， average daily dose， pulmonary infection， use of the original drug， day-1 loading dose， total bilirubin during medication， concomitant immunosuppressant use， and the occurrence of ADR are the factors influencing voriconazole trough concentration in renal transplant patients. Furthermore， patients with abnormal direct bilirubin during medication are more susceptible to ADR.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

Objectives:To explore the feasibility of using hemodynamic phenotypes to guide antihypertensive treatment medication. Methods:This study prospectively included 100 hypertensive patients who received outpatient treatment at Haidian Hospital in Beijing from January 2021 to December 2021.Evaluation of blood pressure was conducted using laboratory and home blood pressure measurements,impedance cardiogram(ICG)detection was performed.Following hemodynamic phenotypes and therapeutic phenotypes were established:hyperkinetic phenotype(increased heart rate)using β-blockers,large artery phenotype(increased large artery resistance index)using calcium antagonists,peripheral vascular phenotype(increased peripheral vascular resistance index)using renin angiotensin system inhibitors,and high-volume phenotype(increased blood volume saturation)using diuretics.Patients were randomly divided into ICG group(n=50,medication treatment based on hemodynamic characteristics)and control group(n=50,treatment based on hypertension guidelines and clinical experience).Patients were followed up for 8 weeks and the blood pressure reduction amplitude and compliance rate were compare between the two groups. Results:There was no statistically significant difference in baseline data such as sex,age,height,weight,and hemodynamic parameters between the two groups(all P＞0.05).There was no statistically significant difference in the types of baseline medication between the two groups(P＞0.05).After medication adjustment,the types of medication increased,but the difference between the two groups was still not statistically significant(P＞0.05).Clinic blood pressure:After 8 weeks,decreases in systolic([8.38±27.78]mmHg,1 mmHg=0.133 kPa)and diastolic([3.94±18.15]mmHg)blood pressure were greater in the ICG group as compared to the control group(both P＜0.05).The blood pressure compliance rate(＜140/90 mmHg)was higher in the ICG group than that in the control group(66.0%vs.42.0%,P＜0.05).Family blood pressure:after 8 weeks,the reduction in systolic([8.22±21.31]mmHg,P＜0.01)and diastolic([4.76±13.88]mmHg,P＜0.05)blood pressure was greater in the ICG group compared to the control group.The blood pressure compliance rate(＜135/85 mmHg)was higher in the ICG group than that in the control group(70.0%vs.48.0%,P＜0.05).Changes in corresponding hemodynamic parameters before and after two different antihypertensive drugs:the heart rate,arterial resistance index,peripheral vascular resistance index,and blood volume saturation of the ICG group all significantly decreased compared to baseline(all P＜0.05).The control group showed a significant decrease in peripheral vascular resistance index compared to baseline(P＜0.05),while there was no statistically significant difference in heart rate,large artery resistance index,and blood volume saturation compared to baseline(all P＞0.05). Conclusions:By using impedance cardiogram to assess hemodynamic phenotypes and accurately guide the selection of antihypertensive drugs based on hemodynamic phenotypes,it is possible to more effectively lower blood pressure and improve blood pressure compliance.

Objective:To investigate the changes of brain microstructure in active Crohn's disease (CD) patients with or without anxiety by diffusion kurtosis imaging (DKI), and to explore the relationship between brain microstructure and anxiety in patients with CD.Methods:Thirty-seven patients with CD who were treated in Changzhou Second People's Hospital Affiliated to Nanjing Medical University from January 2022 to January 2023 were included as the CD group, and 20 healthy subjects were included as the healthy control group during the same period. All subjects were assessed with hospital anxiety and depression scale-anxiety (HADS-A) before magnetic resonance imaging(MRI) scan. According to the HADS-A score, CD patients were divided into the CD group with anxiety (16 cases) and the CD group without anxiety (21 cases). After MRI scan, DKI parameters were obtained by DKE software. One-way analysis of variance was used to compare DKI parameters between the two groups of CD patients and the healthy control group. Pearson correlation was used to analyze the correlation between DKI parameters in different brain areas and psychological scale scores in the two groups of CD patients.Results:The axial diffusion kurtosis(AK)values in the right insula, the left superior temporal gyrus, the right thalamus, the left middle temporal gyrus, the right inferior temporal gyrus, the left lingual gyrus and the right anterior cuneus were significantly different among the three groups ( F=3.060-9.627, all P<0.05).There were significant differences in the radial diffusion kurtosis(RK) values in the right cerebellar region 6 and the left hippocampus among the three groups ( F=4.124, 3.536, 4.200, all P<0.05). Further multiple comparison results showed that the AK values of the right insula (0.701±0.028)( P=0.019), the left superior temporal gyrus (0.764±0.016)( P=0.002) and the right thalamus (0.728±0.016)( P=0.001) in the CD group without anxiety were lower than those of the healthy control group(0.726±0.010, 0.780±0.015, 0.771±0.082), and the RK value of the right cerebellar region 6 ( P=0.021) was lower than that of the healthy control group. The AK values of the right insula ( P=0.023), the left superior temporal gyrus ( P=0.015), the right thalamus ( P=0.031), the left middle temporal gyrus ( P=0.006), the right inferior temporal gyrus ( P=0.001) and the left lingual gyrus ( P=0.007) in the CD group with anxiety were lower than those in the healthy control group. The RK values of right cerebellar region 6 ( P=0.012) and left hippocampus ( P=0.004) were lower than those of healthy control group. The AK values of the right insula ( P=0.002) and the right anterior cuneus ( P=0.017) in the group with anxiety were lower than those in the CD group without anxiety. In the CD group with anxiety, the AK value of the right insula was correlated with erythrocyte sedimentation rate(ESR)( r=-0.47, P=0.048), HADS-A score ( r=-0.68, P=0.002), SES-CD( r=-0.84, P<0.001) and duration of disease ( r=-0.61, P=0.008) were negatively correlated. AK values in the left superior temporal gyrus with anxiety CD group were negatively correlated with HADS-A score ( r=-0.51, P=0.030) and SES-CD score ( r=-0.48, P=0.046). Conclusion:The microstructure of some brain regions was damaged in CD patients with or without anxiety, which was manifested as decreased RK and AK values in DKI parameter values, which may be related to the anxiety state in active CD patients.

Purpose/Significance By investigating and analyzing the characteristics of scientific data citation of scientific data sharing institutions in the field of medical and population health,the paper provides references and guidance for open sharing and standardized ci-tation of scientific data.Method/Process Taking the National Population Health Data Center as an example,the literature analysis meth-od is used to analyze the scientific data citation behavior and its traceability in this field.Result/Conclusion It is found that there are non-standard citation behaviors such as inconsistent labeling positions and missing citation elements in the scientific data in the field of medical and population health,and a large number of open and shared scientific data cannot be effectively traced.It is urgent to improve the standards of scientific data citation,strengthen the management of scientific data platform,enhance the awareness of scientific re-searchers,and promote scientific data sharing and citation.

Purpose/Significance To analyze the management problems of scientific data collection in the biomedical field and put forward countermeasures in order to improve the dissemination of scientific data.Method/Process Based on the relevant national scientif-ic data collection policy,taking the National Population Health Data Center as an example,the challenges and countermeasures of scien-tific data collection in the biomedical field are analyzed from the perspective of scientific data manager.Result/Conclusion The paper puts forward some countermeasures to solve the problems,including popularizing the scientific data collection mechanism,setting stand-ards and conducting audits of biomedical science data quality and standardization,strengthening data security and privacy protection tech-nology research and development in accordance with relevant laws and regulations.

Objective To investigate the factors that lead to diffuse chorioretinal atrophy(DCA)in patients with high myopia(HM)and to establish a prediction model.Methods In this retrospective case-control study,a total of 169 HM patients(338 eyes)admitted to the Department of Ophthalmology,Harbin 242 Hospital from October 2018 to October 2022 were selected.All patients underwent comprehensive ophthalmic examination at the time of inclusion.The incidence of DCA was evaluated according to the International Photographic Classification and Grading System for myopic maculopa-thy,and the risk factors of DCA in HM patients were analyzed by multivariate Logistic regression.The predictive model of DCA in HM patients was established by the receiver operating characteristic curve(ROC)based on risk factors,and the calibration degree of the predictive model was tested by Hosmer-Lemeshow(H-L).Results Among the 169 patients,34 patients were divided into the DCA group,and 135 patients were divided into the non-DCA group;there were statistically significant differences in age and gender distribution between the two groups(both P＜0.05).The axial length(AL),pat-tern standard deviation(PSD),positive rate of carbonic anhydrase 2(CAII)antibody in the DCA group were higher than those in the non-DCA group,while the best corrected visual acuity(BCVA),mean defect(MD)of the visual field,spheri-cal equivalent(SE),deep retinal microvessel density(MVD)and serum 25-hydroxyvitamin D[25(OH)D]were lower than those in the non-DCA group(all P＜0.05).Older age,longer AL and positive CAII antibody were the risk factors for DCA in HM patients(all P＜0.05),while greater deep retinal MVD and higher 25(OH)D were the protective factors(both P＜0.05).ROC analysis showed that the area under the curve of the prediction model for DCA in HM patients was 0.864(95％CI:0.802-0.911,P＜0.001),and the sensitivity and specificity were 85.29％and 88.15％,respectively.According to the H-L test,the prediction model for DCA in HM patients was relatively consistent with the actual results(P＞0.05).Con-clusion The occurrence of DCA in HM patients is affected by age,AL,CAII antibody,deep retinal MVD and 25(OH)D level,and a prediction model established based on the above factors can predict the risk of DCA well.