Therapeutic drug monitoring （TDM） is the core approach for individualized precision medication in clinical practice. Based on pharmacokinetics, it quantitatively measures in vivo drug concentrations using modern analytical techniques, mainly applied to drugs with a narrow therapeutic window, significant adverse reactions, and large interindividual pharmacokinetic variability across multiple categories. TDM plays an irreplaceable role in optimizing therapeutic regimens, reducing drug toxicity, and enhancing rational clinical drug use. TDM-applicable drugs were systematically reviewed in this paper, focusing on the working principles, clinical applications, advantages and limitations of mainstream analytical techniques （immunoassay, liquid chromatography tandem mass spectrometry，LC-MS/MS） and emerging ones （surface plasmon resonance and biolayer interferometry）, which provided a valuable reference for the standardized clinical application of TDM, rational selection of analytical methods, and subsequent technological research and development.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Objective To evaluate the consistency of DNA coding region single nucleotide polymorphism(cSNP)genotyping at the DNA and RNA levels in common body fluid samples based on the next-generation sequencing platform.Methods After extensive literature retrieval,25 cSNP loci of 8 human tissue-specific mRNAs in peripheral blood,semen and vaginal secretion were selected.Two cSNP multiplex genotyping panels based on DNA and RNA,respectively,were developed for use on the MiSeq FGx sequencing platform.45 body fluid samples(including 14 peripheral blood samples,15 semen samples and 16 vaginal secretion samples)were sequenced and analyzed.The inconsistent typing results of DNA and RNA were rechecked by Sanger sequencing.Results The results of cSNP genotyping at the DNA and RNA levels in peripheral blood were completely consistent.Among the 15 semen samples,the genotypes of rs1995640 and rs 1995641 on the TGM4 gene were inconsistent in 3 cases.Among the 16 vaginal secretion samples,there were 2 cases,1 case and 2 case with inconsistent results of rs3869098,rs10947121 and rs12110470 in MUC22 gene,respectively.Conclusion In this study,MiSeq FGx sequencing and Sanger sequencing were used to test 25 cSNP loci with body fluid tissue specificity.The same typing results at the DNA and RNA levels were observed at 20 cSNPs.Inconsistent genotypes at the DNA and RNA levels were observed at 5 cSNPs on the TGM4 and MUC22 genes.This study provides experimental methods and data for forensic cSNP studies.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Objective To evaluate the consistency of DNA coding region single nucleotide polymorphism(cSNP)genotyping at the DNA and RNA levels in common body fluid samples based on the next-generation sequencing platform.Methods After extensive literature retrieval,25 cSNP loci of 8 human tissue-specific mRNAs in peripheral blood,semen and vaginal secretion were selected.Two cSNP multiplex genotyping panels based on DNA and RNA,respectively,were developed for use on the MiSeq FGx sequencing platform.45 body fluid samples(including 14 peripheral blood samples,15 semen samples and 16 vaginal secretion samples)were sequenced and analyzed.The inconsistent typing results of DNA and RNA were rechecked by Sanger sequencing.Results The results of cSNP genotyping at the DNA and RNA levels in peripheral blood were completely consistent.Among the 15 semen samples,the genotypes of rs1995640 and rs 1995641 on the TGM4 gene were inconsistent in 3 cases.Among the 16 vaginal secretion samples,there were 2 cases,1 case and 2 case with inconsistent results of rs3869098,rs10947121 and rs12110470 in MUC22 gene,respectively.Conclusion In this study,MiSeq FGx sequencing and Sanger sequencing were used to test 25 cSNP loci with body fluid tissue specificity.The same typing results at the DNA and RNA levels were observed at 20 cSNPs.Inconsistent genotypes at the DNA and RNA levels were observed at 5 cSNPs on the TGM4 and MUC22 genes.This study provides experimental methods and data for forensic cSNP studies.

Objective:To construct a scientific performance evaluation index system for online contracted nurses and provide evaluation tools for managers to evaluate their performance.Methods:Based on the KRIF theory, literature search, qualitative interview results initially constructed performance evaluation indexes of online contracted nurses, used Delphi method to carry out two rounds of expert correspondence from April to July, 2023, and used hierarchical analysis to determine the performance evaluation index system of online contracted nurses and the weights of the indexes at all levels.Results:The questionnaire recovery rate of the two rounds of expert correspondence was 18/18, the coefficient of basis of judgment was 0.91, the coefficient of familiarity was 0.89 and 0.86, the coefficient of authority was 0.90 and 0.89, and the coefficient of coordination of experts was 0.222 and 0.190, respectively (all P<0.001), and finally formed the performance evaluation index system of online contracted nurses including 4 first-level indexes, 9 second-level indexes, and 32 tertiary indicators. Conclusions:The performance evaluation index system of online contracted nurses based on the KRIF model covers various aspects, is scientific, reliable and comprehensive, and can provide a reference basis for the performance evaluation management of online nurses.

AIM:To analyze and screen the risk factors for acute kidney injury(AKI)following heart transplantation(HT),and to establish a dynamic no-mograms prediction model to forecast early AKI af-ter HT.METHODS:A retrospective analysis was con-ducted on clinical data from HT recipients at Nan-jing First Hospital from October 2012 to June 2024.Patients were divided into AKI and non-AKI groups based on AKI occurrence within 7 days post-sur-gery,with a 8:2 ratio for training and testing sets.Lasso regression and multivariable logistic regres-sion were used to select influencing factors.A dy-namic nomogram model was visualized using R.In-ternal validation was performed using 1 000 boot-strap samples.Model accuracy and discrimination were evaluated using the area under the receiver operating characteristic curve(AUC-ROC),calibra-tion curves,and the Hosmer-Lemeshow goodness-of-fit test.The nomogram model was compared with the Cleveland score.RESULTS:The results of a multivariable logistic regression indicate that a his-tory of atrial fibrillation(OR=9.647,95％CI=1.961-47.470),vasoactive inotropic score(OR=1.094,95％CI=1.012-1.183),intraoperative transfusion of red blood cells or plasma(OR=10.200,95％CI=1.727-60.238),postoperative central venous pressure(OR=1.548,95％CI=1.186-2.021),and postoperative use of vancomycin(OR=25.082,95％CI=2.122-296.417)are independent risk factors for HT-AKI.The dynamic nomogram model achieved an AUC of 0.842(95％CI:0.676-0.971)in the test set,with a calibration plot showing a slope close to 1 and a Brier score of 0.173.The Hosmer-Lemeshow good-ness-of-fit test(x2=5.658,P=0.685)suggests good predictive performance of the model.Moreover,this model demonstrates superior discriminative ability compared to the Cleveland score.CONCLU-SION:This study identified preoperative,intraoper-ative,and postoperative risk factors influencing the occurrence of HT-AKI.The developed dynamic no-mogram model accurately identifies high-risk indi-viduals for early HT-AKI and is convenient for clini-cal use.

Objective To study the bioequivalence of generic and original dapoxetine hydrochloride tablets in Chinese healthy subjects after single dose under fasting and fed conditions.Methods A single-center,random,open,single-dose,two-preparations,double-period,crossover study was adopted.Fasting and fed tests were performed on 36 subjects each.Single oral dose 60 mg of test and reference pre parations were taken under fasting and fed conditions,respectively.Plasma concentration of dapoxetine was determined by liquid chromatography tandem mass spectrometry.The main pharmacokinetic(PK)parameters were calculated by Phoenix WinNonlin 8.0 software.Results The main PK parameters of the test and reference preparations of dapoxetine tablets in the fasting group were as follows:Cmax were(449.36±203.01)and(432.85±199.75)ng·mL-1;AUC0-t were(2 400.96±1 392.58)and(2 251.82±1 225.84)ng·mL-1·h;AUC0-∞ were(2 529.94±1 498.05)and(2 371.06±1 305.22)ng·mL-1·h.The main PK parameters of the test and reference preparations of dapoxetine tablets in the fed group were as follows:Cmax were(651.29±179.38)and(672.83±249.42)ng·mL-1;AUC0-t were(3 391.27±1 358.73)and(3 314.56±1 360.39)ng·mL-1·h;AUC0-∞ were(3 630.79±1 605.89)and(3 549.22±1 526.61)ng·mL-1·h.Under the fasting and fed conditions,the 90％confidence intervals of the main PK parameters of the test and reference preparations of dapoxetine tablets are 80.00％-125.00％.Conclusion Under the fasting and fed conditions,a single oral dose of generic and original dapoxetine hydrochloride tablets in Chinese healthy adult volunteers showed bioequivalence.

Objective:To construct a scientific performance evaluation index system for online contracted nurses and provide evaluation tools for managers to evaluate their performance.Methods:Based on the KRIF theory, literature search, qualitative interview results initially constructed performance evaluation indexes of online contracted nurses, used Delphi method to carry out two rounds of expert correspondence from April to July, 2023, and used hierarchical analysis to determine the performance evaluation index system of online contracted nurses and the weights of the indexes at all levels.Results:The questionnaire recovery rate of the two rounds of expert correspondence was 18/18, the coefficient of basis of judgment was 0.91, the coefficient of familiarity was 0.89 and 0.86, the coefficient of authority was 0.90 and 0.89, and the coefficient of coordination of experts was 0.222 and 0.190, respectively (all P<0.001), and finally formed the performance evaluation index system of online contracted nurses including 4 first-level indexes, 9 second-level indexes, and 32 tertiary indicators. Conclusions:The performance evaluation index system of online contracted nurses based on the KRIF model covers various aspects, is scientific, reliable and comprehensive, and can provide a reference basis for the performance evaluation management of online nurses.