OBJECTIVE: To explore the effect of light music therapy on delirium in intensive care unit (ICU) patients undergoing invasive mechanical ventilation, and provide evidence-based support for clinical prevention of delirium. METHODS: A prospective randomized controlled trial was conducted. 140 patients with invasive mechanical ventilation admitted to the department of respiratory and critical care medicine of First Affiliated Hospital of Guangxi Medical University from January 2024 to January 2025 were enrolled. The patients were divided into intervention group and control group using a random number table method. The control group received routine treatment and nursing care, while the intervention group received light music therapy three times a day for 30 minutes each time for 7 consecutive days. The confusion assessment method-ICU (CAM-ICU) was used to evaluate delirium, and the incidence of delirium within 7 days was statistically analyzed. Richmond agitation-sedation score (RASS), critical care pain observation tool (CPOT) score, mechanical ventilation duration, the length of ICU stay, and ICU stay expenses were record. RESULTS: 129 cases were ultimately included, including 64 cases in the control group and 65 cases in the intervention group. There was no statistically significant difference in baseline data between the two groups, indicating comparability. The incidence of delirium in the intervention group was significantly lower than that in the control group (27.7% vs. 51.6%, χ ² = 7.687, P = 0.006). There was no significantly difference in RASS score between the two groups before enrollment (P = 0.840). After intervention, the RASS score in the intervention group significantly decreased, from 2.00 points on the 1st day of enrollment to 0.00 points on the 7th day, while the control group only decreased from 2.00 points to 1.50 points. The decreasing trend of the intervention group was more pronounced, especially on the 3rd day (P = 0.047) and the 7th day (P =0.005), with significant differences between the groups. The time effect (F = 18.929, P < 0.001), group effect (F = 6.655, P = 0.011), and time group interaction effect (F = 7.372, P < 0.001) of the two groups of RASS score were significant, suggesting that light music therapy has better timeliness and sustainability in improving patients' sedation status. There was no significantly difference in CPOT score between the two groups before enrollment (P = 0.902). After intervention, the CPOT score in the intervention group rapidly decreased from 3.00 points before enrollment to 1.00 points on the 1st day, and continued until the 7th day, while the control group showed a slower decrease from 2.50 points to 2.00 points and only dropped to 1.00 points on the 7th day. There were significant differences on 1st day and 3rd day between two groups (both P < 0.05). The time effect (F = 28.125, P < 0.001), group effect (F = 11.580, P = 0.001), and time group interaction effect (F = 4.048, P = 0.020) of the two groups of CPOT score were significant, indicating that light music therapy has better pain control, but the interaction effect is low, indicating that the impact of the intervention on the CPOT score was mainly concentrated in the early stage (1-3 days), and the long-term effect may be influenced by other factors. Compared with the control group, the intervention group showed a significant reduction in mechanical ventilation time (days: 10.57±2.94 vs. 11.95±3.74, P = 0.021) and the length of ICU stay (days: 14.91±4.37 vs. 17.53±4.83, P = 0.002). The ICU hospitalization expenses of the intervention group was slightly lower than that of the control group [ten thousand yuan: 22.431 (12.473, 28.489) vs. 29.362 (11.996, 41.389)], but the difference was not statistically significant (P = 0.086). CONCLUSIONS Light music therapy can effectively reduce the incidence of delirium in patients undergoing invasive mechanical ventilation, improve consciousness and pain perception, shorten mechanical ventilation time and hospital stay, and has significant clinical promotion value high-quality studies.
Humans ; Delirium/prevention & control* ; Intensive Care Units ; Respiration, Artificial ; Music Therapy ; Prospective Studies ; Male ; Female ; Middle Aged ; Critical Care ; Aged

OBJECTIVE To explore the risk factors for polymyxin-and carbapenem-resistant Klebsiella pneumoni-ae(PR-CRKP)infection and establish the prediction model.METHODS The clinical data were retrospectively col-lected from the patients with CRKP infection who were treated in the First Affiliated Hospital of Xi'an Jiaotong University from Jan.2023 to Mar.2024.The enrolled patients were divided into the CRKP group and the PR-CRKP group according to the result of drug susceptibility testing for polymyxin B.Totally 203 patients who were treated from Jan.2023 to Dec.2023 were assigned as the modeling group,and 91 patients who were treated from Jan.2024 to Mar.2024 were assigned as the validation group.Multivariate logistic regression analysis was per-formed for the risk factors for PR-CRKP infection,nomogram was built up for prediction of PR-CRKP infection by R software,and the predictive efficacy of the model was evaluated by means of receiver operating characteristic(ROC)curves.RESULTS The result of univariate analysis showed that the proportions of patients who received fi-berobronchoscopy,endotracheal intubation/tracheotomy,were complicated with other carbapenem-resistant or-ganisms(CROs)infections,bloodstream infections,were treated in intensive care unit(ICU)and had the history of exposure to polymyxins and carbapenems 3 months before the admission were higher in the PR-CRKP group than in the CRKP group(P＜0.05);the length of hospital stay and duration of use of polymyxins and carbapene-ms were longer in the PR-CRKP group than in the CRKP group(P＜0.05).Multivariate logistic regression analy-sis indicated that complication with other CROs infections,history of exposure to polymyxins and carbapenems 3 months before the admission,duration of use of polymyxins and ICU stay were the risk factors for the PR-CRKP infection(P＜0.05).The area under the curve(AUC)of the predictive model was 0.898 in the modeling group,with the sensitivity 80.33％,the specificity 84.51％.ROC curve analysis showed that the AUC was 0.901 in the validation group,with the sensitivity 75.00％,the specificity 92.73％.CONCLUSION The prediction model that is established based on the result of multivariate analysis has high value in prediction of PR-CRKP infection.

OBJECTIVE To investigate the risk factors for carbapenem-resistant gram-negative bacteria(GNB)bloodstream infection(BSI)in patients with hematological malignancies(HMs)and their prognosis,and to devel-op a nomogram prediction model.METHODS A total of 316 patients with HMs and GNB-BSI admitted to the First Affiliated Hospital of Xi'an Jiaotong University from Jan.2017 to Dec.2022 were selected as the training set,and 106 patients admitted from Jan.2023 to Oct.2024 were selected as the validation set.Variables were selected by lasso regression and multifactor logistic regression,and a nomogram model was constructed.The prediction model was internally validated by the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA),respectively.RESULTS Granulocytopenia for ≥7 days(OR=14.525),use of cephalosporins/β-lactamase inhibitors within 30 days before BSI(OR=3.510),exposure history of carbapenem antibacterial drug(OR=4.840)and albumin＜30 g/L(OR=2.697)were risk factors for CR-GNB BSI in patients with HMs(P＜0.05).Septic shock(OR=6.934),central venous catheterization(OR=5.586),inappropriate empirical antibac-terial drug therapy(OR=4.744),CR-GNB infection(OR=2.916)and albumin＜30 g/L(OR=3.324)were risk factors for 30-day mortality in patients with HMs and GNB-BSI(P＜0.05).Based on these indicators,two nomogram models were constructed.The areas under the ROC curve(AUC)for the internal validation set were 0.775 and 0.849,respectively.The calibration curves demonstrated high predictive performance for the pre-diction models(P=0.998 and 0.660,respectively),and DCA showed high clinical application value for both models.CONCLUSION The nomogram prediction model constructed in this study based on multifactor analy-sis not only demonstrates good predictive value but also exhibits significant clinical efficacy,aiding in the early i-dentification of high-risk patients for targeted therapy.

OBJECTIVE To investigate the risk factors for carbapenem-resistant gram-negative bacteria(GNB)bloodstream infection(BSI)in patients with hematological malignancies(HMs)and their prognosis,and to devel-op a nomogram prediction model.METHODS A total of 316 patients with HMs and GNB-BSI admitted to the First Affiliated Hospital of Xi'an Jiaotong University from Jan.2017 to Dec.2022 were selected as the training set,and 106 patients admitted from Jan.2023 to Oct.2024 were selected as the validation set.Variables were selected by lasso regression and multifactor logistic regression,and a nomogram model was constructed.The prediction model was internally validated by the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA),respectively.RESULTS Granulocytopenia for ≥7 days(OR=14.525),use of cephalosporins/β-lactamase inhibitors within 30 days before BSI(OR=3.510),exposure history of carbapenem antibacterial drug(OR=4.840)and albumin＜30 g/L(OR=2.697)were risk factors for CR-GNB BSI in patients with HMs(P＜0.05).Septic shock(OR=6.934),central venous catheterization(OR=5.586),inappropriate empirical antibac-terial drug therapy(OR=4.744),CR-GNB infection(OR=2.916)and albumin＜30 g/L(OR=3.324)were risk factors for 30-day mortality in patients with HMs and GNB-BSI(P＜0.05).Based on these indicators,two nomogram models were constructed.The areas under the ROC curve(AUC)for the internal validation set were 0.775 and 0.849,respectively.The calibration curves demonstrated high predictive performance for the pre-diction models(P=0.998 and 0.660,respectively),and DCA showed high clinical application value for both models.CONCLUSION The nomogram prediction model constructed in this study based on multifactor analy-sis not only demonstrates good predictive value but also exhibits significant clinical efficacy,aiding in the early i-dentification of high-risk patients for targeted therapy.

OBJECTIVE To explore the risk factors for polymyxin-and carbapenem-resistant Klebsiella pneumoni-ae(PR-CRKP)infection and establish the prediction model.METHODS The clinical data were retrospectively col-lected from the patients with CRKP infection who were treated in the First Affiliated Hospital of Xi'an Jiaotong University from Jan.2023 to Mar.2024.The enrolled patients were divided into the CRKP group and the PR-CRKP group according to the result of drug susceptibility testing for polymyxin B.Totally 203 patients who were treated from Jan.2023 to Dec.2023 were assigned as the modeling group,and 91 patients who were treated from Jan.2024 to Mar.2024 were assigned as the validation group.Multivariate logistic regression analysis was per-formed for the risk factors for PR-CRKP infection,nomogram was built up for prediction of PR-CRKP infection by R software,and the predictive efficacy of the model was evaluated by means of receiver operating characteristic(ROC)curves.RESULTS The result of univariate analysis showed that the proportions of patients who received fi-berobronchoscopy,endotracheal intubation/tracheotomy,were complicated with other carbapenem-resistant or-ganisms(CROs)infections,bloodstream infections,were treated in intensive care unit(ICU)and had the history of exposure to polymyxins and carbapenems 3 months before the admission were higher in the PR-CRKP group than in the CRKP group(P＜0.05);the length of hospital stay and duration of use of polymyxins and carbapene-ms were longer in the PR-CRKP group than in the CRKP group(P＜0.05).Multivariate logistic regression analy-sis indicated that complication with other CROs infections,history of exposure to polymyxins and carbapenems 3 months before the admission,duration of use of polymyxins and ICU stay were the risk factors for the PR-CRKP infection(P＜0.05).The area under the curve(AUC)of the predictive model was 0.898 in the modeling group,with the sensitivity 80.33％,the specificity 84.51％.ROC curve analysis showed that the AUC was 0.901 in the validation group,with the sensitivity 75.00％,the specificity 92.73％.CONCLUSION The prediction model that is established based on the result of multivariate analysis has high value in prediction of PR-CRKP infection.

Objective To investigate the distribution and antimicrobial resistance of clinical isolates in the First Affiliated Hospital of Xi'an Jiaotong University in 2022 for rational use of antibiotics in clinical practice.Methods Nonduplicate clinical isolates were collected from January 1,2022 to December 31,2022.Antimicrobial susceptibility testing was carried out using Kirby-Bauer method and automated systems.The data were analyzed using WHONET 5.6 software and interpreted according to the Clinical and Laboratory Standards Institute(CLSI)breakpoints(2021 Edition).Results Of the 8 638 clinical isolates,gram negative bacteria and gram positive bacteria accounted for 60.8％(5 253/8 638)and 39.2％(3 385/8 638),respectively.The prevalence of methicillin-resistant strains was 33.0％in S.aureus(MRSA),75.8％in S.epidermidis(MRSE),and 51.9％in other coagulase-negative Staphylococcus(MRCNS).No staphylococcal strains were found resistant to vancomycin.The prevalence of vancomycin-resistant E.faecium was 0.6％,and no vancomycin-resistant E.faecalis was found.E.faecalis strains showed higher resistance rate to linezolid(5.2％)than E.faecium(0.7％).The prevalence of carbapenem-resistant Enterobacterales(CRE)was 7.9％,specifically 12.1％for carbapenem-resistant K.pneumoniae(CRKP)and 1.6％for carbapenem-resistant E.coli(CREC).The prevalence of carbapenem-resistant P.aeruginosa(CRPA)and carbapenem-resistant A.baumannii(CRAB)was 30.9％and 77.0％,respectively.Conclusions Clinical microbiology laboratories should strengthen the collection and testing of clinical specimens from the sites of infection in order to improve pathogenic diagnosis and antimicrobial resistance surveillance.This is conducive to the rational use of antibiotics and reduce the further spread of multidrug-resistant bacteria.

Objective To summarize the key points for nursing children with Kasabach-Merritt syndrome (KMS) treated by transcatheter arterial scleroembolization (TASE) during perioperative period. Method The perioperative treatment and key nursing points for 39 children with KMS undergoing TASE from September 2013 to September 2015 in our hospital were summarized and analyzed retrospectively. Results About 39 children with KMS went through TASE successfully. The operational time ranged from 0.8 to 2.7 hours. The patients were discharged in 2~11 days after TASE. There was 1 case of thrush, 3 cases of respiratory infection symptoms before TASE and 2 cases of hemangioma ulcer after TASE, which were cured by treatment and nursing. Conclusion The careful care to the patients with angeioma lesions, prevention and nursing of hemorrhage, nursing during glucocorticoid treatment, strict observation on the disease condition and prevention of complications after TASE can ensure the smooth implementation of TASE, and promote their recovery from KMS.

Objective To establish a method for determination of imatinib mesylate liposome and related substances. Methods The liquid chromatography was carried out on a Kromasil C18 column. The mobile phase A consisted of methanol-octane sulfonate solution(42:58). The mobile phase B consisted of methanol-octane sulfonate solution(4:96). The flow rate of gradient elution was 1. 2 mL·min-1 . The detection wavelength was 268 nm. The column temperature was room temperature. Results The intermediates and degraded substances could be seperated under the selected chromatographic conditions. Imatinib mesylate showed a good linear relationship within 1-100μg·mL-1,r=0. 999 1(n=5). Conclusion The method is specific, accurate,sensitive,and simple,and can be used for quality control of imatinib mesylate liposome.