We present a case of emphysematous pyelonephritis (EPN) in a patient who developed fever and generalized pain one week prior to admission. Initial laboratory tests at a local hospital revealed leukocytosis (WBC 17.23×10 9/L), thrombocytopenia (PLT 97×10 9/L), elevated serum creatinine (502 μmol/L), and severe hyperglycemia (31.11 mmol/L). The patient was transferred to our institution following 1 day of symptomatic treatment due to newly developed hallucinations and convulsions. One day after admission, the patient presented with impaired consciousness, cutaneous ecchymosis, and gross hematuria. CT showed extensive gas accumulation within and around the left kidney, with minimal gas noted along the medial diaphragmatic crus. Laboratory findings showed progressive leukocytosis (WBC 22.93×10 9/L), critical thrombocytopenia (PLT 11×10 9/L), and markedly elevated C-reactive protein (309.06 mg/L). After being transferred to the ICU for treatment, the vital signs were stable but the patient remained somnolent. A surgical exploration by the urology department revealed severe infection and necrosis of the left kidney, and a left nephrectomy was performed. Postoperative renal function monitoring showed persistent elevation of serum creatinine (>400 μmol/L), which gradually improved to 200.6 μmol/L following targeted therapy, along with normalized WBC (5.42×10 9/L) and platelet counts (363×10 9/L). The patient achieved full recovery with normal follow-up CT and renal function tests. This case emphasizes the severity of emphysematous pyelonephritis and underscores the multidisciplinary collaboration. Early diagnosis, timely surgical intervention, and critical care support are key to improving prognosis.

Objective:To study the risk factors for combined bacterial/fungal infections in patients with severe fever with thrombocytopenia syndrome (SFTS) and to develop a novel and validated prediction model.Methods:The basic data and the results of the first laboratory examination after admission were retrospectively collected from patients diagnosed with SFTS who were hospitalized in the First Affiliated Hospital, Nanjing Medical University from January 2018 to December 2022. The patients were categorized into co-infected and non-co-infected groups according to whether they had co-infections with bacterial/fungal infections or not.Independent risk factors were screened by multivariate logistic regression analyses. A novel prediction model was constructed, and the predictive value of the model was assessed using receiver operating characteristic curve. Non-parametric tests and chi-square test were used for statistical analysis.Results:A total of 294 patients were included, and 62 cases were in the combined infection group including 39 cases of simple respiratory tract infections, 11 cases of simple bloodstream infections, four cases of simple urinary tract infections, four cases of respiratory tract combined with bloodstream infection, and four cases of respiratory tract combined with urinary tract infection. Acinetobacter baumannii was mostly found in bacterial infections, with a total of 19 strains, followed by Escherichia coli and Pseudomonas aeruginosa, both with seven strains. Aspergillus were mostly common in fungi, with a total of 16 strains which were all collected from patients with pulmonary infections. Compared with the non-co-infected group, patients in the co-infected group had longer hospital stays, with statistically significant differences ( Z=-6.18, P<0.001). The patients also had higher frequencies of bleeding symptoms, neurological symptoms, severe illness, and death, with statistically significant differences ( χ2=23.91, 16.37, 15.51 and 15.58, respectively, all P<0.001). The aspartate transaminase-to-platelet ratio index (APRI) was also higher in patients with coinfection, with a statistically significant difference ( Z=-4.64, P<0.001). Multivariate binary logistic regression showed that severe illness (odds ratio ( OR)=2.567, 95% confidence interval ( CI) 1.344 to 4.904, P=0.004), blood glucose level higher than 7.782 mmol/L ( OR=4.766, 95% CI 2.493 to 9.109, P<0.001), procalcitonin level higher than 0.228 μg/L ( OR=2.487, 95% CI 1.289 to 4.799, P=0.007), and APRI value higher than 6.268 ( OR=3.032, 95% CI 1.404 to 6.548, P=0.005) were the independent risk factors for co-infections in SFTS patients. Disease severity, blood glucose, procalcitonin, and APRI were combined to construct a novel predictive model: Infect-risk score=-3.331+ 0.654×severity (severe=1, non-severe=0)+ 0.160×blood glucose+ 0.066×procalcitonin+ 0.013×APRI. The AUC for this score was 0.764 (95% CI 0.698 to 0.830, P<0.001), with Youden index of 0.416, sensitivity of 0.839, and specificity of 0.578. Conclusions:Severe illness, blood glucose levels higher than 7.782 mmol/L, procalcitonin levels above 0.228 μg/L, and APRI values above 6.268 are independent risk factors for bacterial/fungal coinfection in SFTS patients. The constructed Infect-risk score model has good predictive value for bacterial/fungal coinfection in SFTS patients.

ObjectiveTo investigate the incidence rate of sarcopenia in patients with Wilson’s disease （WD）-related liver cirrhosis， as well as the risk factors for sarcopenia and their impact on clinical outcomes. MethodsA total of 140 patients with WD-related liver cirrhosis who were treated in The First Affiliated Hospital of Anhui University of Chinese Medicine from January 2019 to June 2020， and according to the third lumbar skeletal muscle mass index （L3 SMI）， the patients were divided into sarcopenia group and non-sarcopenia group. Nutritional risk screening， anthropometric measurements， and blood biochemical tests were performed for the patients to identify the influencing factors for sarcopenia. The patients were followed up for 36 — 48 months， and survival status and complications were compared between the two groups. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the chi-square test and the Mann-Whitney U rank sum test were used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for sarcopenia， and univariate and multivariate Cox regression analyses were used to investigate the risk factors for the prognosis of patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve was plotted， and the Log-rank test was used for comparison between groups. ResultsAmong the 140 patients with WD-related liver cirrhosis， 53 （37.9%） developed sarcopenia， with significantly lower body mass index （BMI） and L3 SMI than the patients without sarcopenia （t=10.550 and 3.982， both P<0.001）. The multivariate Logistic regression analysis showed that age （odds ratio ［OR］=2.243， 95% confidence interval ［CI］： 1.196 — 4.208， P=0.012）， sex （OR=0.450， 95%CI： 0.232 — 0.872， P=0.018）， BMI （OR=0.126， 95%CI： 0.089 — 0.294， P<0.001）， and hepatic encephalopathy （OR=8.367， 95%CI： 2.423 — 28.897， P<0.001） were the main influencing factors for sarcopenia in patients with WD-related liver cirrhosis. Compared with the non-sarcopenia group， the sarcopenia group had significantly higher mortality rate （χ²=6.158， P=0.019） and significantly higher incidence rates of infection （χ²=8.008， P=0.040）， recurrent abdominal/pleural efflux （χ²=17.742， P<0.001）， and hepatic encephalopathy （χ²=4.338， P=0.039）. The multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=4.685， P=0.002） and hepatic encephalopathy （HR=19.156， P<0.001） were independent risk factors for death in patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve analysis showed a significant reduction in survival rate in the patients with sarcopenia （P=0.003）. ConclusionSarcopenia is one of the manifestations of malnutrition in patients with WD-related liver cirrhosis， which increases the risk of mortality and other complications and has an adverse effect on prognosis. There is an increased risk of sarcopenia in male patients or patients with hepatic encephalopathy， a lower level of BMI or an older age.

Objective To investigate the factors influencing shorter survival in standard-risk multiple myeloma(MM)patients as defined by the mSMART3.0 criteria,and to provide a basis for constructing a more precise risk prediction model for MM patients.Methods A retrospective analysis was conducted on 388 MM patients from the First Affiliated Hospital of Chongqing Medical University between January 2015 and January 2022.Clinical baseline data,laboratory test results,and overall survival(OS)data were collected.SPSS 27.0 software was used for the analysis of relevant factors,with a P-value of less than 0.05 considered statistically significant.Results Analysis of the 82 mSMART 3.0 standard-risk MM patients revealed that age(P＜0.01)and monocyte percentage(P=0.025)differed significantly between the groups with differing survival outcomes.Further COX regression analysis indicated that advanced age(HR=1.057,95％CI:1.022-1.093,P=0.01)and a high monocyte percentage(HR=1.115,95％CI:1.041-1.193,P=0.02)were independent risk factors influencing the OS of standard-risk MM patients.Conclusion Both age and monocyte percentage are independent adverse factors affecting the survival of standard-risk MM patients ac-cording to the mSMART 3.0 staging system.Incorporating these factors into the stratification criteria is ex-pected to enhance the accuracy of risk stratification.

Objective:To investigate the correlation between leucine-rich α2 glycoprotein (LRG) and endoscopic activity in patients with Crohn′s disease (CD), based on the assessment of inflammation in small intestinal lesion by double-balloon enteroscope (DBE).Methods:From 15 August 2022 to 22 August 2023, the clinical data of 139 patients with small bowel CD diagnosed by DBE at the First Affiliated Hospital of Anhui Medical University were prospectively collected, which included fecal calprotectin (FC), C-reactive protein (CRP), white blood cell count, hemoglobin, albumin, Crohn′s disease activity index (CDAI), and simple endoscopic score for Crohn′s disease (SES-CD). According to the SES-CD, endoscopic activity was classified as mucosal healing (0), endoscopic remission (0 to 2), mild activity (3 to 6), moderate activity (7 to 15), and severe activity (≥16). LRG levels were detected in all patients. Spearman rank correlation was used to analyze the correlation between LRG, clinical biochemical parameters and endoscopic scores. Receiver operating characteristic curve (ROC) was performed to determine the optimal cut-off value of LRG for evaluating endoscopic mucosal healing. Mann-Whitney U test, Kruskal-Wallis H test, and Bonferroni corrected test were used for statistical analysis. Results:Among 139 patients with small bowel CD, the LRG level was 17.3 (13.0, 25.2) mg/L, and SES-CD was 5 (1, 9); 32 patients achieved mucosal healing, 50 patients achieved endoscopic remission; 39 patients had mild activity, 40 patients had moderate activity, and 10 patients had severe activity. The SES-CD was negatively correlated with both hemoglobin and albumin ( r=-0.177 (95% confidence interval, 95% CI: -0.334 to -0.011), -0.293 (95% CI: -0.438 to -0.133)), with statistical significance ( P=0.037, <0.001). The SES-CD was positively correlated with CRP, CDAI, LRG and FC ( r=0.344 (95% CI: 0.188 to 0.482), 0.429 (95% CI: 0.282 to 0.556), 0.525 (95% CI: 0.393 to 0.636), 0.661 (95% CI: 0.556 to 0.745)), with statistical significant (all P<0.001). For the 64 small bowel CD patients with CRP in the normal reference value, SES-CD was positively correlated with CDAI, LRG and FC ( r=0.296 (95% CI: 0.054 to 0.505), 0.364 (95% CI: 0.129 to 0.559), 0.547 (95% CI: 0.348 to 0.699)), with statistical significance ( P=0.017, =0.003, <0.001). The LRG level of patients with endoscopic mucosal healing was significantly lower than that of patients with endoscopic remission (11.5 (10.1, 17.2) mg/L vs. 17.3 (13.4, 23.5) mg/L), with statistical significance ( Z=-3.25, P<0.001). ROC analysis showed that the area under the curve (AUC) of LRG in predicting endoscopic mucosal healing was 0.81 (95% CI: 0.73 to 0.89), with an optimal cut-off value of 15.27 mg/L. The sensitivity, specificity, positive predictive value and negative predictive value were 0.757, 0.718, 0.900 and 0.469, respectively. The accuracy of the combination of LRG and FC (AUC was 0.88, 95% CI: 0.82 to 0.94) in predicting endoscopic mucosal healing was higher than that of LRG alone (AUC was 0.81, 95% CI: 0.73 to 0.89), and the difference was statistically significant ( P=0.011). Conclusion:Based on the results of DBE, LRG may be a reliable biomarker for predicting endoscopic remission and mucosal healing in patients with small bowel CD.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

To provide in-service medical technicians and nurses with convenient access to continuing education resources in transfusion medicine, reduce transfusion-related adverse events, and ensure the safety, rationalization, and effectiveness of clinical transfusion, we designed and developed an online transfusion continuing education platform. The platform was based on the new managed code programming model.NET Core and the powerful functions of hypertext preprocessor PHP 7.4, addressing current issues in transfusion online continuing education. Through in-depth analysis of student attributes, learning behaviors, and teaching behaviors, a comprehensive online continuous teaching quality evaluation index system was established. This system not only facilitates the quantitative assessment of teaching quality but also successfully integrates the two core functions of teaching and management, thereby achieving unified online teaching.

Objective:To investigate the mediating effect of work engagement on the relationship between nurses′ perception of authentic leadership and their innovative behavior, providing insights for enhancing nurses′ innovative practices.Methods:A convenience sampling method was employed to recruit registered nurses from 37 hospitals in Anhui Province between January and March 2022. The Authentic Leadership Questionnaire, Utrecht Work Engagement Scale and Nurse Innovative Behavior Scale were utilized to conduct a cross-sectional survey. SPSS 25.0 was used to analyze the correlations among nurses′ perception of authentic leadership, work engagement, and innovative behavior, while AMOS 26.0 was employed to assess the mediating effect of work engagement between nurses′ perception of authentic leadership and innovative behavior.Results:A total of 3 200 questionnaires were distributed, and 2 994 valid questionnaires were collected. Among the 2 994 participating nurses, 2 907 (97.1%) were female and 87 (2.9%) were male, 1 002 (33.5%) aged 22-25 years, 1 374 (45.9%) aged 26-39 years, 467 (15.6%) aged 40-49 years, and 151 (5.0%) aged 50 years or older. The total scores of the Authentic Leadership Questionnaire, Utrecht Work Engagement Scale and Nurse Innovative Behavior Scale were (68.23 ± 13.15), (51.49 ± 11.65) and (38.28 ± 8.35) points, respectively. Pearson correlation analysis revealed significant positive correlations between nurses′ perception of authentic leadership and work engagement ( r=0.473, P<0.01), between nurses′ perception of authentic leadership and innovative behavior ( r=0.530, P<0.01), and between work engagement and innovative behavior ( r=0.553, P<0.01). The mediating effect analysis indicated that work engagement partially mediates the relationship between nurses′ perception of authentic leadership and innovative behavior ( β=0.18, P<0.01), with a mediation effect ratio of 34.62%. Conclusions:Nurses′ perception of authentic leadership can indirectly influence their innovative behavior through work engagement. It is recommended that nursing managers prioritize the enhancement of authentic leadership and foster work engagement among nurses to stimulate their innovative behavior.