Objective To establish a method for determination of new abused drugs in plasma by using ultra-high performance liquid chromatography tandem mass spectrometry ( UPLC-MS/MS ) combined with in-tube solid-phase microextraction. Methods 2 mL of borax buffer was added to 1 mL of plasma with drugs. Then,the mixture was withdrawn into a syringe connected to a stainless steel needle welded with DB-1701 capillary column. 50 μL acetonitrile was used as elution solvent at the flow rate of 300 μL·min-1 for 2 min. Subsequently,the drugs on elute were determined by using UPLC-MS/MS in positive mode with multiple reaction monitoring( MRM) to determine drug concentration in human plasma samples. ResultsThe recoveries rates of the five abused drugs ( codeine hydrochloride, tramadol, diphenoxylate hydrochloride, diazepam, and triazolam) in plasma were between 69. 2% -81. 7% with the RSDs less than 10%. LODs of the drugs were less than 25 ng·mL-1 . Seven out of the 26 plasma samples were determined positive. Conclusion The in-tube SPME method coupled to UPLC-MS/MS is simple, rapid, and environmental friendly, which is suitable for the the rapid screening of the new abused drugs.

Objective:To explore the current situation of balance function in elderly patients with chronic obstructive pulmonary disease (COPD) and analyze the related factors affecting balance function in COPD patients.Methods:In this study, data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) were selected as research data, and 593 COPD patients aged 60 years or older were selected as research objects by multi-stage stratified cluster sampling method. The balance function was evaluated by standing test with both feet in front and behind. COPD patients whose standing test reached 60 s were divided into the good balance group (n=194), and those who did not reach 60 s were divided into the poor balance group (n=399). The balance ability of COPD patients of the two groups was compared, and the influencing factors of balance ability of the patientss were analyzed by Logistic regression analysis.Results:Univariate analysis showed that there were significant differences in balance ability between two groups in terms of age, education, cognitive function, and peak expiratory flow (PEF). ( P<0.05). Logistic regression analysis showed that age, cognitive function and PEF were influencing factors of balance ability of COPD patients ( P<0.05) . Conclusions:Patients with COPD have poor balance function. Clinicians should pay attention to the evaluation of balance function in patients with COPD and take targeted intervention measures in time to reduce the risk of falls.

Objective:To construct the prediction model of knee degeneration in patients with knee osteoarthritis based on bioelectrical impedance index, and evaluate the prediction performance and application efficiency of the model.Methods:This was a cross-sectional study. From May to July 2021, 248 knee joints of 124 patients with knee osteoarthritis at home from Shijiazhuang Yuqiang Community Health Service Center who participated in physical examination were selected by convenience sampling to establish the model. According to Kellgren-Lawrence (K-L) grading system, the knee joints were divided into four groups, namely K-L1 ( n=19) , K-L2 ( n=103) , K-L3 ( n=96) , and K-L4 ( n=30) . The indicators included in the model were selected through analysis of variance or Kruskal-Wallis test, and a prediction model of knee degeneration was established using support vector machine, and the model was optimized using grid parameter optimization method. The prediction performance of the model was evaluated by the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, accuracy, positive predictive value and negative predictive value. Results:The indicators in the model included age, complications, lumbar/back/hip pain, high-risk occupation, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) -pain, WOMAC-function, capacitive reactance and phase angle. The area under the ROC curve of the training set model was 0.999, the prediction accuracy was 0.920, and the 95% confidence interval was 0.868 to 0.957. The area under the ROC curve of the test set model was 0.833, the prediction accuracy was 0.682, and the 95% confidence interval was 0.572 to 0.780.Conclusions:The prediction model of knee degeneration has good prediction performance and is easy to use, which can be used as a screening tool for knee degeneration in patients with knee osteoarthritis.

Objective:To establish a new strategy for rapid correction of the interference of chyle blood on hemoglobin (HGB) and related indexes by reticulocyte (RET) channel research parameters (HGB-O, MCHC-O) from automatic hematological analyzer.Methods:With the diagnostic experimental design, a total of 90 impatient samples were sequential picked from Fuwai Hospital, which had routine blood testing from June 1 to July 31, 2021. The selected samples were free of hemolysis, jaundice, chylo. The age of the patients was (49.2±5.7) years, with 47 males and 43 females. Three different contents(25, 50, 75 μl) of fat emulsion injection were used to replace plasma in equal amounts to prepare chyle blood samples with mild, medium and heavy degrees of average red blood cell hemoglobin concentration (MCHC). The research parameters (HGB-O, MCHC-O) obtained by the RET channel detection of the automatic blood analyzer were used as the corrected HGB and its related index values (RET method), and the original values (the detection values before adding fat emulsion) and the formula correction values were paired with t-test or Wilcoxon signed rank test, single factor analysis of variance or Kruskal-Wallis rank-sum test, Bland-Altman and correlation analysis to evaluate the correction effect of RET method.Results:There was no significant difference ( H=0.035, P=0.983; H=0.097, P=0.953; H=0.112, P=0.945) between the RET correction values of HGB (g/L) [104.0(83.8, 132.8), 109.0(87.78, 128.25), 104.0(87.8, 131.8)] and the original values [104.0(83.0, 133.0), 107.5(86.75, 129.25), 103.5(85.8, 131.3)] and the formula correction values [104.0(84.0, 133.8), 106.0(86.75, 131.25), 102.5(86.8, 131.3)] in the samples of chythemia with varying degrees of MCHC (g/L) elevation; meanwhile, the RET correction values [366.5(325.8, 341.5), 333.5(323.8, 340.0), 333.5(327.0, 341.25)] and the original values [336.0(324.8, 342.0), 333.0(323.5, 342.3), 332.0(326.75, 340.5)] and the formula correction values [333.5(323.5, 343.3), 331.0(321.0, 338.3), 329.5(325.25, 337.25)] were also not statistically significant ( H=0.049, P=0.976; H=3.149, P=0.207; H=0.883, P=0.643). The detection values of HGB and related indexes corrected by RET method were in good agreement with the original values [96.7% (29/30) of the points were within the 95% consistency limit], and the two were positively correlated (the correlation coefficients were all higher than 0.919, P<0.01). Conclusion:The RET method based on the research parameters of RET channel of automatic hematological analyzer can serve as a new strategy to correct the interference of chyle blood on the detection of HGB and related indexes.

Objective To observe the regulatory effect of roxadustat on lipid metabolism while correcting anemia in hemodialysis patients.Methods Sixty patients with chronic kidney disease(CKD)receiving hemodialysis treatment at Nanjing Drum Tower Hospital and combined with concurrent renal anemia were selected.These included 30 patients receiving erythropoietin(EPO)therapy at a dose of 10 000 U per week,and 30 patients receiving roxadustat treatment at a dose based on body weight.The patients'hemoglobin levels were measured,and data on lipid and iron metabolism-related indicators were collected for statistical analysis.Results After 6 months of treatment,the mean hemoglobin levels of both groups of patients were significantly higher than the baseline levels.The mean hemoglobin level in the roxadustat group was higher than that in the EPO group(114.1±7.88 vs.122.23±10.33,P<0.05),but there was no significant difference in the achievement rate between the two groups(77%vs.93%,P>0.05).The total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),and triglycerides(TG)in the roxadustat group decreased significantly(P<0.05),while there was no significant change in the EPO group.Compared with the EPO group,roxadustat showed an improvement in iron metabolism indicators.Conclusion Roxadustat has been shown to improve lipid metabolism while correcting anemia.

This study aims to investigate the function of lmo2363 gene in stress resistance of Liste-ria monocytogenes strain LM83-1.In this study,the lmo2363 gene deletion strain and complement-ation strain of Listeria monocytogenes were constructed using overlapping extended PCR and ho-mologous recombination techniques,and the growth ability,stress survival rate and biofilm forma-tion ability of wild,deletion strain and complementation strain were compared under different stress environments.lmo2363 gene deletion strain and complementation strain of Listeria monocy-togenes were successfully constructed in this experiment.The growth curves showed that the growth capacity of the deletion strain was weaker than the wild strain LM83-1 under 4 ℃,7％NaCl,10％NaCl,3.5％ethanol,4.0％ethanol and pH5 stress(P＜0.001).The results of stress survival test showed that the survival rate of the deletion strain was significantly lower than the wild strain after 1 h treatment with pH3 and 10 mmol/L H2 O2 stress(P＜0.010).The biofilm forming ability of the deletion strain was decreased compared with that of the wild strain(P＜0.050).This study confirmed that lmo2363 gene mediated the adaptation of LM to low temperature,high osmotic pressure,ethanol and acid stress environment and affected the formation of LM bio-film.This study laid a foundation for further exploring the function of lmo2363 gene in the stress resistance process of Listeria monocytogenes.

Objective:To analyze the clinical application of different diagnostic methods for heart failure with preserved ejection fraction (HFpEF) in maintenance hemodialysis (MHD) patients.Methods:It was a single-center retrospective cohort study. Uremia patients who underwent hemodialysis at Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from July 2020 to June 2021 were enrolled. The demographic characteristics, laboratory indicators, and echocardiography parameters were collected. The 2016 European Society of Cardiology (ESC) criteria, H 2FPEF score [composite score based on weighted scores of heavy (H), hypertensive (H), atrial fibrillation (F), pulmonary hypertension (P), elder (E), and filling pressure (F)], and Heart Failure Association (HFA) -PEFF score [including pre-test assessment (P), echocardiography and natriuretic peptide score (E), functional testing (F) and final aetiology (F)] were used to diagnose HFpEF, respectively, and the difference of three diagnostic methods was compared. The association between HFpEF diagnosed by the three methods and poor outcomes (all-cause death, cardiovascular death) was analyzed. Results:A total of 160 MHD patients were included, whose age was (58.5±13.4) years, median dialysis age was 5.0 (2.3, 9.6) years, median H 2FPEF score was 2 (1, 3), median HFA-PEFF score was 4 (3, 5), and 92 (57.5%) were males. Of these patients, 118 patients (73.8%) met the 2016 ESC criteria for diagnosis of HFpEF, 4 (2.5%) met H 2FPEF score for diagnosis of HFpEF, and 56 (35.0%) met HFA-PEFF score for diagnosis of HFpEF. The consistency of three methods in diagnosing HFpEF was poor with κ values of 0.018 between ESC criteria and H 2FPEF score, 0.322 between ESC criteria and HFA-PEFF score, and 0.056 between H 2FPEF score and HFA-PEFF score. After a median follow-up of 2.6 years, 20 (12.5%) of the 160 MHD patients died. The Kaplan-Meier survival analysis showed a significant difference in mortality between patients diagnosed with HFpEF and those without using the H 2FPEF score (Log-rank test, χ2=6.95, P=0.008). After adjusting for demographic and clinical parameters, multivariate Cox regression analysis showed that HFpEF diagnosed by HFA-PEFF score was associated with all-cause mortality ( HR=2.73, 95% CI 1.07-6.98, P=0.036) and cardiovascular mortality ( HR=4.77, 95% CI 1.31-17.30, P=0.018). Conclusions:The 2016 ESC criteria, H 2FPEF score, and HFA-PEFF score have high heterogeneity and poor consistency in diagnosing HFpEF in MHD patients. Among the three diagnostic methods, only the diagnosis based on HFA-PEFF score is associated with the prognosis of MHD patients. The HFA-PEFF score can be used to assess the risk of HFpEF in MHD patients, and more clinical studies are needed to further verify it in the future.