Objective To evaluate the value of dynamic electrocardiography(ECG)parameters combined with CT angiography(CTA)parameters in the evaluation of major adverse cardiovascu-lar events(MACE)in elderly patients with coronary heart disease(CHD).Methods A total of 110 elderly CHD patients admitted to our Hospital from January 2021 to May 2023 were prospec-tively recruited,and then divided into a MACE group(30 cases)and a non-MACE group(80 ca-ses)according to whether MACE occurred within 1 year of follow-up.The parameters of Holter,including QT interval variability(QTV),total standard deviation of N-N interval(SDNN),per-centage of total adjacent N-N over 50 ms(PNN50),and standard deviation of the average N-N in-tervals in all 5-min segment of a 24-h recording(SDANN),and the CTA parameters,such as min-imum lumen diameter(MLD),minimum lumen area(MLA),percentage of stenosis area(AS)and percentage of stenosis diameter(DS),were compared between the two groups.A nomogram-based prediction model for MACE risk was then constructed.ROC curve and calibration curve were drawn to evaluate the prediction efficiency of the risk model.Results The MACE group had significantly advanced age,more coronary lesions,and higher AS and DS values,but obviously lower SDNN,SDANN,PNN50,QTV,MLA and MLD values than the non-MACE group(P＜0.05,P＜0.01).The risk prediction model showed that advanced age,multivessel lesions,smaller SDNN,SDANN,PNN50,QTV,MLA and MLD values,and larger AS and DS values indicated higher risk of MACE in the elderly CHD patients.ROC curve analysis revealed that the AUC val-ue of our risk prediction model was 0.872(95％CI:0.764-0.975),with a sensitivity of 93.33％(28/30),a specificity of 91.25％(73/80),and an accuracy of 91.82％(101/110).Calibration curve analysis indicated that the model had a good fit(Chi-square=2.879,P=0.410),and Bootstrap in-ternal verification suggested that the model had a good accuracy(C-index=0.834).Conclusion Dynamic ECG parameters and CT A parameters are abnormal in elderly patients with MACE.Our risk prediction model based on these parameters has high value in evaluating the occurrence of MACE in the patients.

Organ transplantation is an effective treatment for end-stage organ failure, but postoperative infections and rejection reactions are key factors affecting the survival of the patients. Recently, the incidence of human parvovirus B19 (B19V) infection following transplantation has increased. B19V is a non-enveloped virus that primarily infects the upper respiratory tract and exhibits significant tropism for erythroid progenitor cells in the bone marrow, leading to the lysis of erythrocytes and hematological abnormalities. After B19V viremia, it may further infect other cells, triggering inflammatory responses and tissue damage. B19V infection may lead to chronic anemia in organ transplant patients, thereby affecting the success of the transplant and the survival of the patients. Therefore, it is essential to diagnose and monitor B19V infection post-transplantation. Due to the immunosuppressive therapy following transplantation, traditional serological detection methods, such as IgM and IgG antibody tests, are often unreliable. In contrast, molecular biological detection, especially real-time fluorescent quantitative PCR technology, provides more accurate results. However, the diversity of B19V genotypes may lead to the missed detection of some genotypes. Thus, it is necessary to use different detection techniques to improve the diagnostic accuracy of B19 virus infections. Additionally, there is a need to explore more precise diagnostic methods to enhance the early identification and management of B19V infection, further improving the survival and life quality of the patients.

Objective To evaluate the value of dynamic electrocardiography(ECG)parameters combined with CT angiography(CTA)parameters in the evaluation of major adverse cardiovascu-lar events(MACE)in elderly patients with coronary heart disease(CHD).Methods A total of 110 elderly CHD patients admitted to our Hospital from January 2021 to May 2023 were prospec-tively recruited,and then divided into a MACE group(30 cases)and a non-MACE group(80 ca-ses)according to whether MACE occurred within 1 year of follow-up.The parameters of Holter,including QT interval variability(QTV),total standard deviation of N-N interval(SDNN),per-centage of total adjacent N-N over 50 ms(PNN50),and standard deviation of the average N-N in-tervals in all 5-min segment of a 24-h recording(SDANN),and the CTA parameters,such as min-imum lumen diameter(MLD),minimum lumen area(MLA),percentage of stenosis area(AS)and percentage of stenosis diameter(DS),were compared between the two groups.A nomogram-based prediction model for MACE risk was then constructed.ROC curve and calibration curve were drawn to evaluate the prediction efficiency of the risk model.Results The MACE group had significantly advanced age,more coronary lesions,and higher AS and DS values,but obviously lower SDNN,SDANN,PNN50,QTV,MLA and MLD values than the non-MACE group(P＜0.05,P＜0.01).The risk prediction model showed that advanced age,multivessel lesions,smaller SDNN,SDANN,PNN50,QTV,MLA and MLD values,and larger AS and DS values indicated higher risk of MACE in the elderly CHD patients.ROC curve analysis revealed that the AUC val-ue of our risk prediction model was 0.872(95％CI:0.764-0.975),with a sensitivity of 93.33％(28/30),a specificity of 91.25％(73/80),and an accuracy of 91.82％(101/110).Calibration curve analysis indicated that the model had a good fit(Chi-square=2.879,P=0.410),and Bootstrap in-ternal verification suggested that the model had a good accuracy(C-index=0.834).Conclusion Dynamic ECG parameters and CT A parameters are abnormal in elderly patients with MACE.Our risk prediction model based on these parameters has high value in evaluating the occurrence of MACE in the patients.

Organ transplantation is an effective treatment for end-stage organ failure, but postoperative infections and rejection reactions are key factors affecting the survival of the patients. Recently, the incidence of human parvovirus B19 (B19V) infection following transplantation has increased. B19V is a non-enveloped virus that primarily infects the upper respiratory tract and exhibits significant tropism for erythroid progenitor cells in the bone marrow, leading to the lysis of erythrocytes and hematological abnormalities. After B19V viremia, it may further infect other cells, triggering inflammatory responses and tissue damage. B19V infection may lead to chronic anemia in organ transplant patients, thereby affecting the success of the transplant and the survival of the patients. Therefore, it is essential to diagnose and monitor B19V infection post-transplantation. Due to the immunosuppressive therapy following transplantation, traditional serological detection methods, such as IgM and IgG antibody tests, are often unreliable. In contrast, molecular biological detection, especially real-time fluorescent quantitative PCR technology, provides more accurate results. However, the diversity of B19V genotypes may lead to the missed detection of some genotypes. Thus, it is necessary to use different detection techniques to improve the diagnostic accuracy of B19 virus infections. Additionally, there is a need to explore more precise diagnostic methods to enhance the early identification and management of B19V infection, further improving the survival and life quality of the patients.

Objective The purpose of the study was to develop an instrument to measure nursing professional values held by Chinese nurses.Methods 381 nurses were enrolled for the survey on their professional values by the draft of nursing professional values assessment tool(NPVAT).With the item analysis,such as dispersion degree,correlation efficient,discriminability,alpha coefficients index and exploratory factor analysis,the items were selected.Results As a result of the item analysis,the final version of NPVAT was composed of 20 items selected from a total of 32 items.Exploratory factor analysis resulted in a four-factor solution explaining 51.99％ of the common variance.Conculsions The NPVAT developed in this research can be used for measuring the nursing professional values among nurses.

Objective To investigate the safety of rituximab combination chemotherapy in the treatment of B-cell non-Hodgkin' s lymphoma (B-NHL) complicated with hepatitis B virus (HBV) infection,and assess the incidence of HBV reactivation reduced by prophylactic lamivudine.Methods A retrospective study of HBV-related markers,HBV-DNA and liver function was performed before and after rituximabcontaining treatment in B-NHL patients.Thirty nine B-NHL patients with HBcAb(+)/HBsAb(-) were divided into prophylactic group (14 cases) and control group (25 cases).The incidences of HBV reactivation,functional damage of liver were measured.Results Among the 108 B-NHL patients who received rituximab combinatio nchemotherapy,15 (13.89 ％) were HBsAg (+) and 39 (36.11％) HBsAg (-) / HBcAb (+).Of the 15 HBsAg (+)patients,2 (13.3 ％) experienced reactivation of HBV.The prevalence of HBV reactivation was 7.7 ％(1/13) in patients who received prophylactic antiviral treatment and 50 ％ (1/2) in those who did not receivelamivudine.Among the 39 HBsAg (-) / HBcAb (+) patients,3 cases (7.7 ％) experienced reactivation of HBV.The prevalence of HBV reactivation was 0 in patients who receivcd prophylactic lamivudine treatment and 12 ％ (3/25) in those who did not receive this antiviral drug.Conclusion Prophylactic lamivudine before rituximab combination chemotherapy can reduce HBV reactivation obviously.

NDM-1 (New Delhi metallo-beta-lactamase) gene encodes a metallo-beta-lactamase (MBL) with high carbapenemase activity, which makes the host bacterial strain easily dispatch the last-resort antibiotics known as carbapenems and cause global concern. Here we present the bioinformatics data showing an unexpected similarity between NDM-1 and beta-lactamase II from Erythrobacter litoralis, a marine microbial isolate. We have further expressed these two mature proteins in E. coli cells, both of which present as a monomer with a molecular mass of 25 kDa. Antimicrobial susceptibility assay reveals that they share similar substrate specificities and are sensitive to aztreonam and tigecycline. The conformational change accompanied with the zinc binding visualized by nuclear magnetic resonance, Zn(2+)-bound NDM-1, adopts at least some stable tertiary structure in contrast to the metal-free protein. Our work implies a close evolutionary relationship between antibiotic resistance genes in environmental reservoir and in the clinic, challenging the antimicrobial resistance monitoring.
Amino Acid Sequence ; Anti-Bacterial Agents ; pharmacology ; Aztreonam ; pharmacology ; Cephalosporinase ; chemistry ; genetics ; metabolism ; Computational Biology ; methods ; Drug Resistance, Bacterial ; genetics ; Enzyme Stability ; drug effects ; Evolution, Molecular ; Minocycline ; analogs & derivatives ; pharmacology ; Molecular Sequence Data ; Phylogeny ; Protein Structure, Tertiary ; drug effects ; Sequence Homology, Nucleic Acid ; Sphingomonadaceae ; drug effects ; enzymology ; genetics ; Tigecycline ; Zinc ; pharmacology ; beta-Lactamases ; chemistry ; genetics ; metabolism

Throughout human history, pandemic bacterial diseases such as the plague and tuberculosis have posed an enormous threat to human beings. The discovery of antibiotics has provided us with powerful arsenal for the defense against bacterial infections. However, bacteria are acquiring more and more resistance genes to shield off antibiotics through mutation and horizontal gene transfer. Therefore, novel antibiotics must be produced and the arms race between bacterial pathogens and antibiotics is becoming increasingly intense. Recently, researchers have found that plasmids carrying a new metallo-beta-lactamase gene, blaNDM-1, and many other antibiotics resistance genes can easily spread through bacterial populations and confer recipient stains resistance to nearly all of the current antibiotics. It is a threat to the human health and a great challenge for our medical science, which we are facing. We need to find new ways to fight and win this arms racing.
Anti-Bacterial Agents ; pharmacology ; Bacteria ; drug effects ; genetics ; Drug Resistance, Bacterial ; genetics ; Gene Transfer, Horizontal ; Mutation ; Plasmids ; genetics ; beta-Lactamases ; genetics