Objective To explore the pharmaceutical care clinical pharmacists provide for anti-infective therapy in patients undergoing continuous renal replacement therapy(CRRT)after lung transplantation.Methods The clinical pharmacist utilized a limited sampling strategy and participated in the entire anti-infective treatment process for an adult lung transplant recipient based on pharmacokinetic monitoring results.The CRRT duration was flexibly adjusted,the dosing regimen was optimized,and adverse drug reactions were monitored.Result The clinical pharmacist assisted the physician in optimizing the polymyxin B anti-infective therapy post-transplantation,leading to successful infection control and patient discharge.Conclusion Clinical pharmacists can conduct real-time drug concentration monitoring in lung transplant patients based on pharmacokinetic characteristics,develop individualized dosing regimens,and improve medication safety and efficacy during anti-infective therapy.

Objective To explore the pharmaceutical care clinical pharmacists provide for anti-infective therapy in patients undergoing continuous renal replacement therapy(CRRT)after lung transplantation.Methods The clinical pharmacist utilized a limited sampling strategy and participated in the entire anti-infective treatment process for an adult lung transplant recipient based on pharmacokinetic monitoring results.The CRRT duration was flexibly adjusted,the dosing regimen was optimized,and adverse drug reactions were monitored.Result The clinical pharmacist assisted the physician in optimizing the polymyxin B anti-infective therapy post-transplantation,leading to successful infection control and patient discharge.Conclusion Clinical pharmacists can conduct real-time drug concentration monitoring in lung transplant patients based on pharmacokinetic characteristics,develop individualized dosing regimens,and improve medication safety and efficacy during anti-infective therapy.

Objective To investigate the relationship between APCV sign on SWI and END in pa-tients with acute anterior circulation cerebral infarction.Methods A retrospective study was con-ducted on 146 patients with acute anterior circulation cerebral infarction who were consecutively admitted in our hospital from May 2023 to March 2024.According to the results of SWI,they were divided into a negative APCV sign group(93 cases)and a positive APCV sign group(53 cases),and based on the progression of END or not within 3 d after admission,they were also assigned into a non-END group(97 cases)and an END group(49 cases).The general clinical data were compared between the negative and positive APCV sign groups and between the non-END and END groups.Multivariate logistic regression analysis was used to identify the risk factors for END and analyze the relationship between the occurrence of END and APCV sign in cerebral infarction.Results The positive APCV sign group had significantly larger proportions of hypertension and diabetes,higher glycosylated hemoglobin level and NIHSS score at admission,and elevated infarct volume than the negative APCV sign group(P＜0.01).Advanced age,higher ratios of hyperten-sion and diabetes,elevated NIHSS score,larger infarct volume and more APCV sign were ob-served in the END group than the non-END group(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that APCV sign was an independent risk factor for the occurrence of END in acute anterior circulation cerebral infarction after adjusting the variables,including age,hypertension,diabetes,N1HSS score,and infarct volume(OR=6.629,95％CI:1.799-24.428).Conclusion APCV sign is an independent risk factor for the occurrence of END in cerebral infarc-tion,and its appearance on the SWI sequence is an early marker in predicting the prognosis of cer-ebral infarction.

Objective To investigate the relationship between APCV sign on SWI and END in pa-tients with acute anterior circulation cerebral infarction.Methods A retrospective study was con-ducted on 146 patients with acute anterior circulation cerebral infarction who were consecutively admitted in our hospital from May 2023 to March 2024.According to the results of SWI,they were divided into a negative APCV sign group(93 cases)and a positive APCV sign group(53 cases),and based on the progression of END or not within 3 d after admission,they were also assigned into a non-END group(97 cases)and an END group(49 cases).The general clinical data were compared between the negative and positive APCV sign groups and between the non-END and END groups.Multivariate logistic regression analysis was used to identify the risk factors for END and analyze the relationship between the occurrence of END and APCV sign in cerebral infarction.Results The positive APCV sign group had significantly larger proportions of hypertension and diabetes,higher glycosylated hemoglobin level and NIHSS score at admission,and elevated infarct volume than the negative APCV sign group(P＜0.01).Advanced age,higher ratios of hyperten-sion and diabetes,elevated NIHSS score,larger infarct volume and more APCV sign were ob-served in the END group than the non-END group(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that APCV sign was an independent risk factor for the occurrence of END in acute anterior circulation cerebral infarction after adjusting the variables,including age,hypertension,diabetes,N1HSS score,and infarct volume(OR=6.629,95％CI:1.799-24.428).Conclusion APCV sign is an independent risk factor for the occurrence of END in cerebral infarc-tion,and its appearance on the SWI sequence is an early marker in predicting the prognosis of cer-ebral infarction.

Objective:To investigate the value of a deep learning method based on MobileNet in classification of bedside chest radiograph and improvement of the work efficiency.Methods:A total of 6, 320 bedside chest radiographs from January 2017 to December 2022 in the Second Peoples′ Hospital of Changzhou were retrospectively collected. The included cases were divided into normal group (885 images), pneumonia group (1 927 images), pleural effusion group (373 images), and pneumonia with pleural effusion group (3 135 images). Three hundred and fifty images were selected as a validation set, while the remaining images were divided into a train set (4 775 images) and a test set (1 195 images) using simple randomization, by 8∶2 ratio. Two lightweight convolutional neural network models (MobileNetV1 and MobileNetV2) were used to construct a bedside chest radiograph classification model, based on which two fine-tuning strategies were designed. Four models were generated namely MobileNetV1_False (V1_False), MobileNetV1_True (V1_True), MobileNetV2_False (V2_False) and MobileNetV2_True (V2_True). In the first stage, a binary classification model was established to divide the images into normal and lesion groups; then a four-class classification model was established in the second stage, with which the images were divided into four groups: normal, pneumonia, pleural effusion and pneumonia with pleural effusion. Metrics for model performance evaluation including accuracy (Ac), precision (Pr), recall rate (Rc), F1 score (F1) and area under the receiver operating characteristic curve (AUC) were calculated.Results:In both the first and second stages, V1_True and V2_True had higher Ac, Pr, Rc, and F1 than V1_False and V2_False in both the training set and validation set; and the V1_True model outperformed the other three models in classification. The classification Ac of the V1_True model in the validation set was higher than that of radiologists in the first stage [95.71% (335/350) vs. 90.29% (316/350)] and in the second stage [93.43% (327/350) vs. 87.14% (305/350)]. The recognition time of V1_True model′s in the validation set of 350 bedside chest radiographs was significantly less than that of the radiologists (mean: 17 s vs. 300 min).Conclusions:V1_True is an optimal MobileNet model for classifying bedside chest radiographs. The application of this model in clinical practice may help to accurately identify the information of lung lesions from bedside chest radiographs in time, and may improve the work efficiency in the radiology department.

Objective:To investigate the relationship between the changes of default network topology properties of brain function and cognitive function in patients with end-stage renal disease (ESRD).Methods:A total of 31 patients with ESRD were enrolled in the Department of Nephrology, Changzhou Second Hospital Affiliated to Nanjing Medical University from January 2019 to December 2020, and 18 healthy persons were included in the same period as the control group.The cognitive function was evaluated with the Montreal cognitive assessment (MoCA) and trail making tests, and then the subjects were examined by resting-state functional magnetic resonance imaging (rs-fMRI). After preprocessing, the brain functional network was constructed and the topology properities of the network were calculated.The SPSS 20.0 software was used for statistical analysis.Independent sample t-test, chi square test and Pearson correlation analysis were used for data statistics. Results:(1) The score of MoCA in the ESRD group(23.37±1.77) was significantly lower than that in the healthy control group(27.94±1.13)( t=9.537, P<0.001). (2) The levels of Eglobal, Elocal, Cp and Sigma in ESRD group ((0.129±0.025), (0.148±0.040), (0.188±0.046), (1.593±0.650)) were significantly lower than those in healthy control group ((0.160±0.040), (0.212±0.024), (0.276±0.049), (2.004±0.864))( t=3.591, 7.474, 7.058, 2.034, all P<0.05). The Lp value of the ESRD group (8.131±1.905) was significantly higher than that of the control group (6.777±2.150)( t=2.583, P< 0.05). The node efficiency values of bilateral dorsolateral superior frontal gyrus, left middle frontal gyrus, bilateral posterior cingulate gyrus, right hippocampus, left superior marginal gyrus, bilateral angular gyrus and bilateral cuneate anterior lobe in ESRD group ((0.133±0.071), (0.201±0.047), (0.211±0.106), (0.175±0.066), (0.276±0.113), (0.122±0.146), (0.042±0.075), (0.171±0.027), (0.154±0.078), (0.240±0.095), (0.161±0.056))were lower than those in the healthy control group((0.312±0.075), (0.289±0.091), (0.277±0.132), (0.284±0.053), (0.368±0.063), (0.231±0.227), (0.120±0.162), (0.296±0.064), (0.310±0.186), (0.318±0.066), (0.286±0.103))( t=2.107-9.436, all P<0.05). (3)Pearson correlation analysis showed that the node efficiency values of bilateral posterior cingulate gyrus and right hippocampus in ESRD group were positively correlated with the score of MoCA( r=0.36, 0.49, 0.53, all P<0.05). Conclusion:The topological structure of brain functional network is abnormal in ESRD patients, which can affect the cognitive function of patients.

Objective:To evaluate the objective imaging markers of cognitive impairment in patients with end-stage renal disease by MRI intravoxel incoherent motion.Methods:A total of 40 patients with ESRD were enrolled in the Department of Nephrology, Changzhou Second Hospital Affiliated to Nanjing Medical University from January 2019 to August 2020, and 24 healthy controls were prospectively enrolled at the same time.All subjects performed with MRI scan were collected, and the slow apparent diffusion coefficient (ADC slow) of the corresponding brain regions were obtained .The cognitive function was evaluated by the Montreal cognitive assessment scale (MoCA). Two-sample t test was used to analyze the difference of ADC slow and cognitive score between the two groups.Pearson correlation analysis was performed among the cognitive function score of end-stage renal disease and ADC slow value. Results:(1) The score of the intelligence test scale in the ESRD group (23.30±1.76) was significantly lower than that of the healthy control group (27.92±1.00) ( P<0.01). The ADC slow values of bilateral frontal lobe, hippocampus, and insula brain areas (respectively(0.648±0.035), (0.633±0.043), (0.762±0.043), (0.756±0.042), (0.792±0.048), (0.776±0.054))in the ESRD group were significantly higher than those in the healthy control group ((0.600±0.039), 0.610±0.037, (0.725±0.059), (0.711±0.054), (0.740±0.063), (0.716±0.051)) ( P<0.01). (2) Pearson correlation analysis showed that the ADC slow values of bilateral insula and right hippocampus in the ESRD group were negatively correlated with MoCA scales ( r=-0.38, -0.38, -0.66, all P<0.05). Conclusion:ADC slow value in IVIM can better reflect the changes of cognitive function impairment in ESRD patients.

Three dimensional (3D) imaging and 3D printing have been applied in pancreatic malignancy management.The 3D imaging can not only be applied in pre-procedural evaluation and planning,but also it can be used for residents and fellows for training and education,and families of patients advsing.A model of pancreatic and its surrounding structures can be gotten by the 3D printing technique based on 3D imaging,which can not only recognize the anatomical structure,but also can make the guidance for the procedure.3D imaging and 3D printing technique have an important role in the management of pancreatic malignancy.In this review,we summarized the application of 3D) imaging and 3D printing in malignant neoplasm of pancreas.

Objective To investigate the altered spontaneous cerebral activity in patients with type 2 diabetic retinopathy (T2DR). Methods Twenty-one patients with T2DR and sixteen healthy control subject underwent rs-fMRI scans,and the data were analyzed statistically using regional homogeneity(ReHo)method to observe the change of ReHo value.Results Compared to the control group,the T2DR group showed significantly increased ReHo value in the right occipital gyrus,occipital gyrus,inferior occipital gyrus and lingual gyrus regions (t=5.30,P＜0.05,voxel＞30,AlphaSim corrected),and significantly decreased ReHo value in the left posterior cingulate,margin lobe,right inferior parietal lobule,superior temporal gyrus and hippocampus (t=-4.01,-4.86,P＜0.05,voxel＞30, AlphaSim corrected).Conclusion The patients with T2DR showed significantly increased ReHo values in the brain visual cortex and visual pathway that were associated with the injury of brain function regions.It is of important value to evaluate brain dysfunction in patients with T2DR using ReHo method of rs-fMRI.

Objective To explore the value of low-dose multi-slice spiral computed tomography (MSCT) multi-stage scan and three-dimensional reconstruction in diagnosis of patients with gastric carcinoma.Methods A total of 40 patients with gastric carcinoma were selected.All the patients were conducted with low-dose MSCT scan,dynamic contrast scanning and three-dimensional reconstruction scan,and then were processed by multi-planar reconstruction,volume reconstruction and CT virtual endoscopy.Primary lesions in gastric cancer,peripheral infiltration and distant metastasis were observed.Results All the patients were satisfied with the low dose MSCT images,and all of them found primary gastric lesions and had satisfactory diagnosis rates of gastric peripheral infiltration,lymph node metastasis and distant metastasis.Conclusion Low-dose MSCT multi-stage scan and three-dimensional reconstruction can reduce the radiation dose and reveal the primary gastric lesions,gastric peripheral infiltration and distant metastasis.