Multidrug resistant organism refers to bacteria that are insensitive to three or more antibiotics commonly used in clinic, including Pseudomonas aeruginosa, Acinetobacter Baumannii and Klebsiella pneumoniae, etc. MDRO infection is a major factor affecting the survival rate after lung transplantation (LTx), accounting for 30% of the causes of death in the first year after transplantation. Antibiotic treatment has low specificity and is prone to drug resistance. The development of new drugs has a long cycle and high cost, with significant limitations. Phage has high specificity for bacteria, which can proliferate in large quantities in the infected lesion and co-evolve with bacteria during the action process. Phage also have a good killing effect on MDRO, which is expected to make up for the deficiencies of existing antibiotic therapy. This article reviews the development background and mechanism of action of phage therapy, and summarizes its application status and early clinical trial results in the field of LTx, in order to providing new thinking paths for clinical work.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective To explore the effect of Kümmell's disease with kyphosis on the sagittal morphology of the spine-pelvis.Methods A retrospective analysis of 34 patients of Kümmell's disease with kyphosis(Kümmell group)admitted from August 2015 to September 2022,including 10 males and 24 females with an average age of(71.1±8.5)years old.A control group of 37 asymptomatic population aged(69.3±6.7)years old was matched.Spinal-pelvic sagittal parameters were measured on the anterior-posterior and lateral X-rays of the whole spine in the standing position,including segmental kyphosis(SK)or thoracolumbar kyphosis(TLK),thoracic kyphosis(TK),lumbar lordosis(LL),pelvic incidence(PI),pelvic tilt(PT),sacral slope(SS),sagittal vertical axis(SVA),T1 pelvic angle(TPA)and PI-LL.Vertebral wedge angle(WA)in Kümmell was mea-sured and differences in parameters among groups were analyzed and the relationship between spino-pelvic parameters and WA,SK were also investigated.Results TK,SK,PT,SVA,TPA and PI-LL in Kümmell group were significantly larger than those in control group(P＜0.05),LL and SS in Kümmell group were significantly decreased than those in control group(P＜0.05),and there was no significant difference in PI between two groups(P＞0.05).In Kümmell group,WA(30.8±5.9)° showed a positive correlation with SK and TK(r=0.366,0.597,P＜0.05),and SK was significantly correlated with LL and SS(r=0.539,-0.591,P＜0.05).Strong positive correlation between LL and PI,SS,SVA,TPA,PI-LL were also confirmed in patients with Kümmell with kyphosis(r=0.559,0.741,-0.273,-0.356,-0.882,P＜0.05).Conclusion Patients with Kümmell with kyphosis not only have segmental kyphosis,but also changes the overall spinal-pelvic sagittal parameters,including loss of lumbar lordosis,pelvic retrorotation,trunk forward tilt.The surgical treatment of Kümmell disease should not only pay attention to the recovery of the height of the collapsed vertebra,but also focus on the overall balance of the spine-pelvic sagittal plane for patients with kyphosis.

Objective To explore the effects of different sevoflurane elution methods on awakening quality and cognitive function of elderly obese patients undergoing hip joint replacement.Methods A total of 90 elderly obese patients underwent hip joint replacement under intravenous inhalation combined with general anesthesia and maintained anesthesia with sevoflurane during surgery were selected as the research subjects,and randomly divided into group A and group B,and sevoflurane was eluted by closed elution method and decreasing concentration elution method,respectively.The concentration of sevoflurane exhaled and cognitive function scores at different time points of patients between the two groups were compared,and the awakening quality and the occurrence of adverse reactions during the awakening period of patients between the two groups were compared.Results At the end of the surgery,the concentration of sevoflurane exhaled by patients in group B was significantly lower than that in group A(P<0.05),and the recovery time,awakening time,tracheal extubation time,and anesthesia recovery room stay time of patients in group B were significantly shorter than those in group A(P<0.05).The incidence of agitation during the awakening period of patients in group B was significantly lower than that in group A(P<0.05),and the cognitive function score at the time of 2 hours after awakening of patients in group A was significantly lower than that in group B(P<0.05).Conclusion For elderly obese patients undergoing hip joint replacement with intravenous inhalation combined with general anesthesia,sevoflurane can be eluted by decreasing concentration elution method before the end of surgery,and the patient wakes up smoothly and in a shorter time,with fewer adverse reactions and less impact on postoperative cognitive function.

Objective:To investigate the current situation of falls in patients with amyotrophic lateral sclerosis (ALS) and analyze the influencing factors.Methods:A total of 110 ALS patients admitted to Department of Neurology of Peking University Third Hospital from February to April 2023 were selected as the research objects by the convenient sampling method. The Self-designed Patient General Data and Disease-related Questionnaire and Morse Fall Scale (MFS) were used for questionnaire investigation.Results:A total of 100 ALS patients were included, and the incidence of falls in ALS patients was 45.0% (45/100). Binomial Logistic regression analysis showed that gait abnormality, high risk of fall and abnormal muscle strength of lower extremity were risk factors for fall in ALS patients ( P<0.05) . Conclusions:Abnormal gait, high risk of falls and abnormal lower limb muscle strength are independent factors affecting falls in ALS patients, and they are important aspects in preventing and managing falls in ALS patients.

Catheter associated urinary tract infection (CAUTI) refer to urinary system infections that occur after the insertion of a urinary catheter or within 48 hours after its removal. CAUTI exacerbate patient conditions, prolong hospital stays, increase medical costs and economic burdens on patients, and can be life-threatening in severe cases. The Asia Pacific Society of Infection Control (APSIC) convened a working group of infection prevention and control experts from the Asia-Pacific region to publish the APSIC guideline for prevention of catheter associated urinary tract infections (CAUTIs) (referred to as the "APSIC Guideline"). This guideline encompasses the prevention and management of CAUTI in patients with indwelling catheters, covering the entire process from catheter insertion, maintenance, to removal, and are characterized by their practicability and directive nature. This article interprets the APSIC Guideline from aspects such as risk factors of CAUTI, diagnosis, development of prevention strategies, monitoring, and implementation of prevention plans, aiming to provide scientific guidance for clinical healthcare professionals in preventing CAUTI.