OBJECTIVE To optimize the drug placement layout， reduce pharmacists’ dispensing time， and improve the work efficiency of the inpatient pharmacy. METHODS An ABC-CVA classification method was constructed. The ABC classification was first employed to categorize drugs into three groups [A （high frequency)， B （medium frequency）， and C （low frequency）] based on drug usage frequency. Subsequently， the CVA （Critical Value Analysis） method was applied to further classify drugs with low frequency （mainly category C） but requiring urgent use （e.g.， emergency drugs） or occupying large space. RESULTS After optimizing the drug placement layout based on this method， the average daily dispensing time for long-term prescriptions across three major wards （internal medicine， surgery， and intensive care unit） was shortened by （14.7±4.9） min. The optimized average daily dispensing time in each ward was significantly lower than that before optimization， and all differences were statistically significant （ P ＜0.001）. CONCLUSIONS The established ABC-CVA classification method can precisely facilitate the optimization of drug layout in inpatient pharmacies， significantly improve pharmacists’ dispensing efficiency， and enhance the service quality of inpatient pharmacies.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective To explore the clinical value of three-dimensional(3D)fracture mapping in improving the consistency of Arbeitsgemeinschaft für Osteosynthesefragen(AO)/the Orthopaedic Trauma Association(OTA)classification and optimizing preoperative surgical planning for Pilon fractures.Methods This single-center retrospective cohort study included 60 Pilon fracture patients admitted to the Trauma Emergency Center of the Third Hospital of Hebei Medical University between January 2022 and December 2024.All patients underwent preoperative computed tomography(CT)scans.Image standardization and expert manual segmentation/annotation of fracture lines and fragments were performed with 3D Slicer software.3D fracture lines extracted from gold-standard models were registered to a unified standard tibial model.A 3D probability heatmap was constructed by counting spatial fracture frequency,with high-incidence zones analyzed via spatial clustering algorithms.Three orthopedic surgeons independently completed AO/OTA classification and preoperative planning with the assistance of conventional CT only and CT with 3D fracture mapping.Accuracy,time consumption,inter-observer consistency(Cohen's κ),planning time,plan modification frequency,and subjective scores were evaluated.Results The 3D fracture heatmap revealed that fracture lines predominantly concentrated in the anterolateral and posteromedial regions of the distal tibia,with an average of(4.2±1.1)hotspots,a coverage rate of(78.3±5.6)%,and(3.5±1.0)clustering areas.With 3D fracture mapping assistance,classification accuracy was improved to(88.0±5.0)%compared to(75.0±8.0)%with conventional CT(P=0.001);classification time reduced to(10.4±2.5)min from(15.2±3.1)min(P<0.001);and Cohen's κ increased from 0.68±0.05 to 0.82±0.03(P=0.002).For preoperative planning,the average planning time was(15.8±3.2)min in the 3D mapping-assisted group,which was significantly shorter than that of conventional CT group(22.5±4.3)min(P<0.001);the number of plan modifications was(1.5±0.7)times,lower than that of conventional CT group(3.2±1.1)times(P<0.001),and the subjective score was 8.9±0.9,higher than that of conventional CT group(6.8±1.2)(P<0.001).Conclusion The 3D fracture mapping accurately characterizes spatial distribution patterns of Pilon fractures,significantly improves classification accuracy,inter-observer consistency,and preoperative planning efficiency,and thus holds substantial clinical value.

The armadillo repeat containing 5 (ARMC5) gene is part of a family of protein-coding genes that are rich in armadillo repeat sequences, are ubiquitously present in eukaryotes, and mediate interactions between proteins, playing roles in various cellular processes. Current research has demonstrated that reduced expression or absence of the ARMC5 gene in various tumor tissues can lead to uncontrolled cell proliferation, thereby inducing a range of diseases. The ARMC5 gene was initially extensively studied in the context of bilateral macronodular adrenocortical disease (BMAD), with harmful pathogenic variants in ARMC5 identified in approximately 50% of BMAD patients. With advancing research, scientists have discovered that ARMC5 pathogenic variants may also have potential effects on other diseases and could be associated with increased susceptibility to certain cancers. This review aims to present the latest research progress on how the ARMC5 gene plays its role in tumors. It outlines the basic structure of ARMC5 and the regions where it functions, as well as the diseases currently proven to be associated with ARMC5. Moreover, some evidence suggests its relation to embryonic development and the regulation of immune system activity. In conclusion, the ARMC5 gene is a crucial focal point in genetic and medical research. Understanding its function and regulation is of great importance for the development of new therapeutic strategies related to diseases associated with its pathogenic variants.
Humans ; Neoplasms/genetics* ; Armadillo Domain Proteins/genetics* ; Animals ; Genetic Predisposition to Disease ; Cytoskeletal Proteins/genetics* ; Tumor Suppressor Proteins/genetics*

Objective:To evaluate the incidence and frequency of inappropriate shocks caused by defibrillation lead failure in patients with implantable cardioverter-defibrillators (ICD), and to explore methods for reducing the incidence and frequency of such inappropriate shocks.Methods:This was a single-center retrospective study involving patients treated for defibrillation lead failures at Peking University People′s Hospital between March 2015 and May 2024. Patients were divided into an alarm function group and a non-alarm function group based on whether their ICDs were equipped with lead alarm functions. Clinical data, lead data, and the incidence and frequency of inappropriate shocks were collected and compared between the two groups. A multivariate logistic regression model was used to analyze factors influencing the incidence and frequency of inappropriate ICD shocks. Kaplan-Meier survival curves were plotted to compare the trends in the incidence and frequency of inappropriate shocks over time since ICD implantation between the two groups.Results:A total of 59 patients were enrolled, with a age of (56.7±15.2) years, including 42 males (71%). The lifespan of the failed leads in the entire cohort was 64.0 (36.0, 96.0) months. There were 26 patients in the alarm function group and 33 in the non-alarm function group. The most common manifestations of lead failure were oversensing (85%, 50/59) and abnormal pacing impedance (42%, 25/59). A total of 33 patients (56%, 33/59) experienced inappropriate shock therapy, with an average of 27.3 shocks per patient. The frequency of inappropriate ICD shocks in the non-alarm function group was higher than that in the alarm function group (25.0 (10.0, 60.0) times/year vs. 5.0 (2.8, 7.8) times/year, P=0.001). Multivariate logistic regression analysis showed that oversensing ( OR=2.057, 95% CI 1.125-6.763, P=0.019) was an influencing factor for incidence of inappropriate shocks, while the lead alert function ( OR=0.062, 95% CI 0.005-0.719, P=0.001) was a factor influencing the frequency of inappropriate shocks. Kaplan-Meier survival analysis revealed that the incidence and frequency of inappropriate shocks increased with the duration of ICD implantation in both groups, but the differences were not statistically significant (incidence: log-rank P=0.908; frequency: log-rank P=0.767). Conclusion:The lead alert function can reduce the frequency of inappropriate shocks caused by lead failure.

Objective To explore the clinical value of three-dimensional(3D)fracture mapping in improving the consistency of Arbeitsgemeinschaft für Osteosynthesefragen(AO)/the Orthopaedic Trauma Association(OTA)classification and optimizing preoperative surgical planning for Pilon fractures.Methods This single-center retrospective cohort study included 60 Pilon fracture patients admitted to the Trauma Emergency Center of the Third Hospital of Hebei Medical University between January 2022 and December 2024.All patients underwent preoperative computed tomography(CT)scans.Image standardization and expert manual segmentation/annotation of fracture lines and fragments were performed with 3D Slicer software.3D fracture lines extracted from gold-standard models were registered to a unified standard tibial model.A 3D probability heatmap was constructed by counting spatial fracture frequency,with high-incidence zones analyzed via spatial clustering algorithms.Three orthopedic surgeons independently completed AO/OTA classification and preoperative planning with the assistance of conventional CT only and CT with 3D fracture mapping.Accuracy,time consumption,inter-observer consistency(Cohen's κ),planning time,plan modification frequency,and subjective scores were evaluated.Results The 3D fracture heatmap revealed that fracture lines predominantly concentrated in the anterolateral and posteromedial regions of the distal tibia,with an average of(4.2±1.1)hotspots,a coverage rate of(78.3±5.6)%,and(3.5±1.0)clustering areas.With 3D fracture mapping assistance,classification accuracy was improved to(88.0±5.0)%compared to(75.0±8.0)%with conventional CT(P=0.001);classification time reduced to(10.4±2.5)min from(15.2±3.1)min(P<0.001);and Cohen's κ increased from 0.68±0.05 to 0.82±0.03(P=0.002).For preoperative planning,the average planning time was(15.8±3.2)min in the 3D mapping-assisted group,which was significantly shorter than that of conventional CT group(22.5±4.3)min(P<0.001);the number of plan modifications was(1.5±0.7)times,lower than that of conventional CT group(3.2±1.1)times(P<0.001),and the subjective score was 8.9±0.9,higher than that of conventional CT group(6.8±1.2)(P<0.001).Conclusion The 3D fracture mapping accurately characterizes spatial distribution patterns of Pilon fractures,significantly improves classification accuracy,inter-observer consistency,and preoperative planning efficiency,and thus holds substantial clinical value.

Objective:To evaluate the incidence and frequency of inappropriate shocks caused by defibrillation lead failure in patients with implantable cardioverter-defibrillators (ICD), and to explore methods for reducing the incidence and frequency of such inappropriate shocks.Methods:This was a single-center retrospective study involving patients treated for defibrillation lead failures at Peking University People′s Hospital between March 2015 and May 2024. Patients were divided into an alarm function group and a non-alarm function group based on whether their ICDs were equipped with lead alarm functions. Clinical data, lead data, and the incidence and frequency of inappropriate shocks were collected and compared between the two groups. A multivariate logistic regression model was used to analyze factors influencing the incidence and frequency of inappropriate ICD shocks. Kaplan-Meier survival curves were plotted to compare the trends in the incidence and frequency of inappropriate shocks over time since ICD implantation between the two groups.Results:A total of 59 patients were enrolled, with a age of (56.7±15.2) years, including 42 males (71%). The lifespan of the failed leads in the entire cohort was 64.0 (36.0, 96.0) months. There were 26 patients in the alarm function group and 33 in the non-alarm function group. The most common manifestations of lead failure were oversensing (85%, 50/59) and abnormal pacing impedance (42%, 25/59). A total of 33 patients (56%, 33/59) experienced inappropriate shock therapy, with an average of 27.3 shocks per patient. The frequency of inappropriate ICD shocks in the non-alarm function group was higher than that in the alarm function group (25.0 (10.0, 60.0) times/year vs. 5.0 (2.8, 7.8) times/year, P=0.001). Multivariate logistic regression analysis showed that oversensing ( OR=2.057, 95% CI 1.125-6.763, P=0.019) was an influencing factor for incidence of inappropriate shocks, while the lead alert function ( OR=0.062, 95% CI 0.005-0.719, P=0.001) was a factor influencing the frequency of inappropriate shocks. Kaplan-Meier survival analysis revealed that the incidence and frequency of inappropriate shocks increased with the duration of ICD implantation in both groups, but the differences were not statistically significant (incidence: log-rank P=0.908; frequency: log-rank P=0.767). Conclusion:The lead alert function can reduce the frequency of inappropriate shocks caused by lead failure.

AIM:To analyze the Pharmaceutical Care Network Europe(PCNE)classification system used for evaluating the drug related problems(DRPs)of tacrolimus concentration fluctuations in kidney transplant recipients.METHODS:Kidney transplant recipients were selected as the study subjects,who experienced fluctuations in tacrolim-us blood concentrations and clinical pharmacist in-tervention during outpatient follow-up.PCNE(9.0)classification system was used to evaluate the DRPs of tacrolimus.And the DRP problems,causes,inter-vention plans,acceptance and status were ana-lyzed.RESULTS:A total of 700 kidney transplant re-cipients were enrolled from July 2019 to December 2021,and 1014 DRPs were found.The problems of DRPs included the occurrence of adverse drug events(P2.1,60.16％)and poor treatment out-comes(P1.2,39.84％);The main reasons included dosage selection(C3,43％),others(C9,38.4％),and drug selection(C1,9.41％);Clinical pharmacists ac-tively intervened at the recipient level(I2,98.92％)and drug level(I3,1.08％);The acceptance rate of the intervention plan(A1.1+A1.3)reached 98.62％,and the complete implementation rate(A1.1)reached 72.09％;79.29％of DPRs were fully or par-tially resolved(O1.1 and O2.1).CONCLUSION:Clini-cal pharmacists can use PCNE to evaluate tacrolim-us therapeutic drug monitoring(TDM)related DRPs,help standardize TDM pharmaceutical ser-vice models,standardize TDM abnormal result in-terpretation and intervention workflows,and pro-mote safe and rational drug utilization.

AIM:To understand the efficacy and safety of amikacin(AMK)for the treatment of car-bapenem-resistant Klebsiella pneumoniae pneu-moniae(CRKP)in preterm infants and to establish a management process for the use of amikacin in preterm infants.METHODS:CRKP-infected preterm infants treated with amikacin between January 2019 and December 2021 were retrospectively ana-lyzed,and parametric data paired t-tests were used to assess the efficacy and safety of amikacin for the included infectious and safety indicators,and to es-tablish a management process for amikacin use in preterm infants.RESULTS:Eight cases of CRKP in-fection were included,with the main diagnosis of pneumonia and sepsis.eight preterm infants were screened for the AMK ototoxicity gene mitochon-drial gene MT-RNR1(MT-RNR1 1494C＞T and MT-RNR11555A＞G)before amikacin treatment,and none of them were found to have the gene variant.after receiving amikacin sulphate injection treat-ment for 7 days,the indicators of infectivity were improved,and was statistically significant(P＜0.01).No clinical ototoxicity or nephrotoxicity was ob-served in the children before or after treatment.CONCLUSION:Aminoglycosides are still the main antibiotics used for the empirical treatment of sus-pected infections in preterm infants,especially drug-resistant bacterial infections.Despite the risk of ototoxicity and nephrotoxicity,we provide man-agement procedures and recommendations for neonatal treatment with amikacin to reduce the risk of ototoxicity and nephrotoxicity in AMK.