OBJECTIVE To establish a method for the determination of propofol concentration in human plasma and apply it in patients with lymphedema. METHODS The concentration of propofol was determined by UPLC-MS/MS after protein precipitation of plasma samples using thymol as internal standard. The sample was eluted on a Kinetex C18 column with a mobile phase consisting of acetonitrile （A）-water （B） for gradient elution at the flow rate of 200 μL/min. The sample size was 5 μL， and the column temperature was set at 40 ℃. The sample chamber temperature was 15 ℃. Using multi-reaction monitoring mode， the ion pairs for quantitative analysis were m/z 177.0→161.2 （propofol） and m/z 149.0→133.1 （internal standard）， respectively. The above method was used to determine the plasma concentration of propofol in 6 patients with lymphedema. RESULTS The linear range of propofol was 50-5 000 ng/mL （r＝0.995 0）. RSDs of within- and between-batch precision were not more than 8.08%； no endogenous interference， carryover effect， or dilution effect was observed in blank plasma. The extraction recovery ranged from 89.80% to 93.73%， and matrix effects were within the range of 97.93%-101.73%. RSDs of the stability test were all lower than 3.27%. During intraoperative TCI 2-30 min， the plasma concentration of propofol in 6 patients was maintained in the range of 1 865.3-6 056.2 ng/mL， and the propofol was almost excreted within 4-8 h after operation. CONCLUSIONS The established UPLC-MS/MS method in this study can achieve the determination of propofol and a simple and fast sample pretreatment process without derivatization； it is proved to be suitable for the concentration monitoring of propofol in plasma samples of patients with lymphedema.

Objective To establish an HPLC fingerprint of Dingdang Qigui Decoction and analyze and evaluate it using chemical pattern recognition technology;To determine the contents of 5 effective chemical components in Dingdang Qigui Decoction;To provide a basis for its quality control.Methods The analysis was performed on Agilent 5 TC-C18(2)column(250 mm×4.6 mm).The mobile phase comprised of acetonitrile-0.1%phosphoric acid aqueous solution with the gradient elution at a flow rate of 1.0 mL/min.The detection wavelength was set at 260 nm.The column temperature was maintained at 30℃and the injection volume was 10 μL.SPSS 26.0 and SIMCA 14.1 were used to perform clustering analysis and principal component analysis on the 10 batches of Didang Qigui Decoction.The landmark components for inter batch differences were selected through orthogonal partial least squares discriminant analysis(OPLS-DA).Results The HPLC fingerprint with eighteen common peaks of Didang Qigui Decoction in 10 batches of sample was established,and the similarities of samples were between 0.828 and 0.989.Five indicative components were identified and quantitatively analyzed by comparing with the reference substances,which were paeoniflorin,mauroisoflavone glucoside,hesperidin,cinnamaldehyde and aloe rhodopsin.The linear ranges was 10.000 0-320.000 0 μg/mL,2.500 0-80.000 0 μg/mL,10.000 0-320.000 0 μg/mL,10.000 0-320.000 0 μg/mL,0.078 1-5.000 0 μg/mL,respectively,and their mean recovery ranged from 100.30%to 104.09%.Clustering analysis and principal component analysis divided 10 batches of samples from Didang Qigui Decoction into 2 categories.Through OPLS-DA screening,hairy pistil isoflavone glycosides,paeoniflorin,and hesperidin were selected as landmark components for quality differences.Conclusion The quality evaluation method for Didang Qigui Decoction established in this study is simple,sensitive,accurate,and reproducible,which can provide a basis for the quality evaluation of Didang Qigui Decoction.

Objective:To analyze the changes of diagnosis and treatment before and after renal biopsy in adult patients with acute kidney disease (AKD), and to explore the value of renal biopsy in the diagnosis and treatment of AKD.Methods:It was a single-center retrospective observational study. The adult patients with AKD who underwent renal biopsy in the Department of Nephrology of the First Affiliated Hospital of Nanjing Medical University from January 1, 2017 to December 31, 2021 were enrolled. Demographic data, general clinical data, laboratory tests, and diagnosis and treatment data before and after renal biopsy were collected to analyze the concordance rate between clinical and pathological diagnoses, changes in treatment after renal biopsy, and bleeding complication.Results:A total of 575 patients diagnosed with AKD by renal biopsy were included in this study, with age of 51 (36, 63) years old and 359 males (62.4%). Among them, there were 293 patients (51.0%) of acute kidney injury, 348 patients (60.5%) of hypertension and 124 patients (21.6%) of diabetes. The peak serum creatinine was 272 (190, 477) μmol/L. The hemoglobin was 106 (86, 126) g/L. The 24-hour urine protein was 2.15 (0.79, 4.82) g. There were 347 patients (60.3%) of acute glomerular diseases, 136 patients (23.7%) of acute interstitial nephritis, 47 patients (8.2%) of thrombotic microangiopathy, and 45 patients (7.8%) of acute tubular necrosis. The most common types of acute glomerular diseases were IgA nephropathy and anti-neutrophil cytoplasmic antibody-associated glomerulonephritis, accounting for 22.3% (128/575) and 12.2% (70/575), respectively. The clinical diagnoses before renal biopsy were consistent with the renal histopathological diagnoses in 454 patients, with an accuracy rate of 79.0%. Following the renal biopsy, the treatment plan involving glucocorticoids or immunosuppressants was adjusted in 394 patients (68.5%). Significant post-biopsy bleeding occurred in 15 patients (2.6%), with 12 patients requiring blood transfusion and 1 patient requiring surgical intervention.Conclusions:Twenty-one clinical diagnoses do not match the pathological diagnoses in adult AKD patients, 68.5% of patients have changes in their treatment plans, and 2.6% of patients have significant hemorrhagic complications after renal biopsy. Clinicians need to carefully consider the benefits and risks and make individualized decisions about renal biopsy.

Objective:To investigate the association between body composition and coronary artery calcification in patients with chronic kidney disease (CKD).Methods:This cross-sectional study enrolled patients with CKD hospitalized from May 2019 to April 2022 at Sun Yat-sen Memorial Hospital, Guangzhou, China. Skeletal muscle mass index and visceral fat area were measured by bioelectrical impedance analysis. Coronary artery calcification was assessed by computed tomography. Patients were divided into coronary artery calcification group and non-coronary artery calcification group according to the incidence of coronary artery calcification. Patients were categorized into tertile groups according to their skeletal muscle mass index and visceral fat area levels ranging from the lowest to the highest levels (T1 to T3). We defined skeletal muscle mass index≤30.4% as low muscle mass and visceral fat area≥80.6 cm 2 as high visceral fat based on the results of the restricted cubic spline graph. All individuals were divided into 4 phenotypes: normal body composition, low muscle mass, high visceral fat, and low muscle mass with high visceral fat. Spearman correlation analysis and logistic regression analysis were used to assess the association between skeletal muscle mass index, visceral fat area and coronary artery calcification. Results:A total of 107 patients with CKD were enrolled, with an age of (60.0±14.1) years, including 41 female patients (38.3%). Patients of coronary artery calcification group had lower skeletal muscle mass index ((32.0±4.8) vs. (34.3±4.8), P=0.016) and higher visceral fat area ((70.8±32.6) cm 2 vs. (47.9±23.8) cm 2, P<0.001) than those of non-coronary artery calcification group. Patients in the T3 group of skeletal muscle mass index had a lower prevalence of coronary artery calcification (17 (48.6%) vs. 28 (77.8%)) and a lower coronary artery calcification score (0.5 (0, 124.0) vs. 12.0 (0.3, 131.0)) than those in the T1 group ( P<0.05). Similarly, patients in the T1 group of visceral fat area had a lower prevalence of coronary artery calcification (14 (40.0%) vs. 29 (80.6%)) and a lower coronary artery calcification score (0 (0, 3.0) vs. 37.0 (2.0, 131.0)) than those in the T3 group ( P<0.05). Likewise, patients with both low muscle mass and low muscle mass with high visceral fat had a higher prevalence of coronary artery calcification (11(78.6%) vs. 33 (47.8%); 15 (83.3%) vs. 33 (47.8%)) and a higher coronary artery calcification score (31.1 (0.8, 175.8) vs. 0 (0, 16.4); 27.6 (6.4, 211.4) vs. 0 (0, 16.4)) than those with normal body composition ( P<0.05). Spearman correlation analysis showed that skeletal muscle mass index was inversely correlated with coronary artery calcification score ( r=-0.212, P=0.028), and visceral fat area was positively correlated with coronary artery calcification score ( r=0.408, P<0.001). Multivariate logistic regression analysis showed that increased skeletal muscle mass index was inversely associated with coronary artery calcification prevalence (T2: OR=0.208, 95% CI: 0.056-0.770, P=0.019; T3: OR=0.195, 95% CI: 0.043-0.887, P=0.034), and reduced visceral fat area was inversely associated with coronary artery calcification prevalence (T1: OR=0.256, 95% CI: 0.071-0.923, P=0.037; T2: OR=0.263, 95% CI: 0.078-0.888, P=0.031). Consistently, both low muscle mass and low muscle mass with high visceral fat were associated with coronary artery calcification prevalence ( OR=6.616, 95% CI: 1.383-31.656, P=0.018; OR=5.548, 95% CI: 1.062-28.973, P=0.042). Conclusion:Reduced skeletal muscle mass index and increased visceral fat area are significantly associated with both the prevalence and severity of coronary artery calcification in patients with CKD.

Objective To investigate the factors influencing the prognosis of complex intracranial aneurysms treated with pipeline flow-directed device(PED)and to develop a nomogram prediction model.Methods The clinical data of a total of 98 patients with complex intracranial aneurysm,who were admitted to the Anyue County People's Hospital or the Second Affiliated Hospital of Guilin Medical College of China from January 2021 to April 2023 to receive PED treatment,were retrospectively analyzed.The influencing factors that might affect the prognosis of patients with complex intracranial aneurysm were collected.According to the modified Rankin Scale(mRS)score,the patients were divided into good prognosis group(being defined as mRS ≤2 points)and poor prognosis group(being defined as mRS＞2 points).The clinical data were compared between the two groups,and a nomogram model was established and validated.Results In the 98 patients,poor prognosis was seen in 10(10.20％).The differences in age,history of hypertension,history of diabetes mellitus,clopidogrel resistance,Fisher classification,repeated aneurysm rupture,aneurysm location,aneurysm size,aneurysm neck,multiple lesions,and Hunt-Hess grade on admission between good prognosis group and poor prognosis group were statistically significant(all P＜0.05).Multivariate analysis revealed that history of hypertension,clopidogrel resistance,repeated aneurysm rupture,aneurysm location,multiple lesions,and Hunt-Hess grade were the independent factors influencing the prognosis of patients with complex intracranial aneurysm after receiving PED treatment.The AUC of the nomogram model in predicting the prognosis of PED for complex intracranial aneurysms was 0.849(95％CI=0.758-0.939).The predicted curves of the model group and validation group were basically fitted to the standard curves.The results of the decision curve analysis showed that the net benefit to patients was greater than 0 when the probability threshold of the nomogram model for predicting a poor prognosis of PED for complex intracranial aneurysms was 0.10-0.90.Conclusion The factors causing poor prognosis of PED for complex intracranial aneurysms mainly include history of hypertension,clopidogrel resistance,repeated aneurysm rupture,etc.The nomogram model established in this study can predict the risk of poor prognosis in patients with complicated intracranial aneurysm after receiving PED treatment.

Objective To investigate the value of CT radiomics models based on intranodal and perinodal in distinguishing pulmonary cryptococcosis(PC)from lung adenocarcinoma.Methods A total of 194 patients,including PC(n=94)and lung adenocarcinoma(n=100),confirmed by surgical or puncture pathology were analyzed retrospectively and randomly divided into training set and test set in a ratio of 7∶3.3D Slicer was used to delineate and extract the intranodal and perinodal volume of interest(VOI)radiomics features within a 5 mm range.The minimum redundancy maximum relevance(mRMR)and least absolute shrinkage and selection operator(LASSO)methods were used to dimensionality reduction.Statistically significant indicators were screened by one-way logistic regression and further incorporated into the multifactor logistic regression model.Support vector machine(SVM)was used to construct the intranodal image-based radiomics model,the perinodal image-based radiomics model,the intranodal-and-perinodal image-based radiomics model,and the combined model.The diagnostic efficacy of each model was evaluated by receiver operating characteristic(ROC)curve.Results In the test set,the area under the curve(AUC)of the clinical imaging model,the intranodal image-based radiomics model,the perinodal image-based radiomics model,the intranodal-and-perinodal image-based radiomics model,and the combined model were 0.84,0.88,0.85,0.90,and 0.94,respectively.Conclusion The combined model based on clinical imaging features,intranodal and perinodal radiomics features can improve the ability of differentiating PC from lung adenocarcinoma.

Objective:To evaluate the potential of 177Lu-prostate specific membrane antigen (PSMA)-3Q in the treatment of metastatic castration-resistant prostate cancer (mCRPC) and compare it with 177Lu-PSMA-I&T. Methods:177Lu-PSMA-3Q was prepared and the quality control and stability testing were performed. Pharmacokinetic evaluation and biodistribution of 177Lu-PSMA-3Q and 177Lu-PSMA-I&T were conducted in normal BALB/c mice and 22Rv1 tumor-bearing mice. SPECT imaging was performed on 2 patients (60 and 76 years old) with mCRPC from Chinese PLA General Hospital at 24, 72, and 120 h after injection of 177Lu-PSMA-3Q or 177Lu-PSMA-I&T ((7.40±0.74) GBq). Data were analyzed by using independent-sample t test. Results:177Lu-PSMA-3Q was prepared with the total activity of 74 GBq, the yield rate of 95% (uncorrected), and the radiochemical purity was still above 95% after 168 h at room temperature. The distribution half-lives of 177Lu-PSMA-3Q and 177Lu-PSMA-I&T were (0.75±0.22) and (0.86±0.19) min, and the clearance half-lives were (24.74±3.77) and (29.53±3.42) min. Biodistribution of normal mice showed that the uptake values in the liver, lungs, and kidneys 5 d after injection of 177Lu-PSMA-3Q were lower than those of 177Lu-PSMA-I&T ( t values: 4.24-8.36, all P<0.05). The tumor uptake of 177Lu-PSMA-3Q after 24 h injection was the highest and was higher than that of 177Lu-PSMA-I&T ((0.856±0.183) vs (0.579±0.126) percentage activity of injection dose per gram of tissue (%ID/g); t=2.78, P=0.024) in 22Rv1 tumor-bearing mice. The rapid clearance pattern resulted in a higher tumor/muscle (T/M) ratio for 177Lu-PSMA-3Q (99.604±11.106), which was significantly higher than that for 177Lu-PSMA-I&T (45.078±10.444; t=7.80, P<0.001). According to SPECT imaging of patients with mCRPC, the residual lesion counts of 177Lu-PSMA-3Q and 177Lu-PSMA-I&T at 120 h accounted for 0.32±0.05 and 0.58±0.04 of those at 24 h, with significant difference ( t=7.62, P=0.002). Conclusion:177Lu-PSMA-3Q is easy to label, and has high yield and radiochemical purity, good stability, excellent biological performance, good targeting ability in patients, longer retention time, and fast background clearance rate, which is an ideal prostate cancer treatment drug targeting PSMA.

Objective To explore the CT manifestations and clinical features of checkpoint inhibitor-related pneumonitis(CIP).Methods Chest CT images and clinical data of 34 patients with CIP in Ningbo No.2 Hospitael were collected to retrospectively analysis.According to the site of tumor occurrence,22 patients were divided into lung cancer group and 12 patients in other malignant tumor group,and the differences in CT manifestations between two groups were compared.Results Cough(70.59％)and dyspnea(52.94％)were the common clinical symptoms.CIP occurred earlier and over a greater time span in lung cancer group 114.5(41.50,281.50)d than in other maligment tumor group 144(55.75,226.25)d.Eosinophil count was significantly higher only in other maligment tumor group(P=0.009).After hormonal therapy 18 patients improved,8 were stable and 8 progressed or even died.CT signs were prevalent in ground glass shadow(70.59％)and solid shadow(76.47％),and the imaging pattern was dominated by organic pneumonia pattern(47.6％),which was not related to type of primary tumor,and some of them could show nodular granulomatous reaction.Compared to lung cancer group,the other maligment tumor group was more likely to exhibit symmetrical infiltration(58.33％)distribution.Conclusion The clinical features of CIP are nonspecific,compared with other patients with primary malignancies,lung cancer patients are more likely to develop CIP,which is difficult to relieve after treatment,and are easy to develop severe disease.

Objective:To improve the differential awareness of lead porsoning.Methods:A case with stomachache, anemia, myasthenia, and abnormal urine color was described. The diagnosis and treatment were analyzed and discussed.Results:A middle-aged female was admitted with a 9-month medical history, compalnied with rash, stomachache. She also had evidence of hemolytic anemia,nervous system and kidneys imvolvement, and Lab test showed a significantly elevated blood lead level. It was considered to be in line with multiple organ system damage caused by lead poisoning.Conclusion:Lead poisoning can mimic the clinical presentations of rheumatic diseases, resulting in multiple system ivolvement. When the patient's clinical manifestation cannot be fully explained, some special situations should be considered, such as toxic testing.

Objective : To investigate equity of resource allocation in ophthalmology departments of medical institutions in Shenzhen City, so as to provide insights into the optimization of resource allocation in ophthalmology departments in Shenzhen City. Methods : The numbers of beds and ophthalmologists in ophthalmology departments of medical institutions in Shenzhen City were collected through the Shenzhen Health Statistical Yearbook 2019. The distribution of resources and equity of resource allocation were evaluated in ophthalmology departments of Shenzhen City using Lorenz curve and Gini coefficient. Results : There were 5.95 beds and 4.62 ophthalmologists in ophthalmology departments per 100 000 permanent residents in Shenzhen City in 2019. There were 13.35 beds and 9.51 ophthalmologists in ophthalmology departments per 100 000 permanent residents within the former special zone (Luohu, Futian, Nanshan and Yantian districts), and 2.17 beds and 2.13 ophthalmologists in ophthalmology departments per 100 000 permanent residents outside the former special zone (Guangming, Baoan, Longhua, Longgang, Pingshan districts and Dapeng New Area). The Gini coefficients of beds and ophthalmologists in ophthalmology departments were 0.348 and 0.243 by permanent residents in Shenzhen City, 0.386 and 0.386 within the former special zone and 0.086 and 0.012 outside the former special zone, respectively. The Lorenz curves of beds and ophthalmologists in ophthalmology departments were closer to the equity line outside the former special zone in relative to within the former special zone. Conclusion The gross number of beds and ophthalmologists remains to be increased in ophthalmology departments of medical institutions in Shenzhen City, and the equity of regional resource allocation is poor, which is mainly characterized by resource scarcity in ophthalmology departments outside the former special zone.