Objective:To describe the current status of responsive caregiving behavior of infant mothers,to analyze their influencing factors and pathways using the information-motivation-behavioral skills(IMB)model,and to provide a basis for further interventions related to responsive caregiving be-haviors and comprehensive promotion of early childhood development.Methods:This study was a cross-sectional survey using convenience sampling.Questionnaires were used to collect basic information about mothers and their infants,as well as data on mothers' responsive caregiving behavior,knowledge of re-sponsive caregiving,social support,and parenting self-efficacy.Multivariate linear regression models were employed to analyze the influencing factors of responsive caregiving behavior,and structural equa-tion modeling was used to analyze the pathways of these influencing factors.The criterion for inadequate responsive caregiving is defined as scores not exceeding the lower quartile(P25)of the total score.Results:Among 510 mothers of aged 0-12 months infants in Weifang City,the average score for respon-sive caregiving behavior was 16.41±3.99.The proportion of inadequate responsive caregiving was 25.7％.Mothers in the insufficient responsive caregiving group had lower scores in knowledge(7.70±1.41),social support(57.92±15.16),and parenting self-efficacy(30.36±6.48)compared with those in the sufficient group,with statistically significant differences(P＜0.001).Logistic regres-sion analysis indicated that the influencing factors for responsive caregiving included the level of know-ledge about responsive parenting[adjusted OR(aOR)=0.795,95％CI:0.566-0.838],social support(aOR=0.979,95％CI:0.961-0.996),and parenting self-efficacy(aOR=0.894,95％CI:0.857-0.932).Structural equation modeling revealed that knowledge of responsive caregiving(β=0.089,P=0.031),social support(β=0.153,P=0.001),and parenting self-efficacy(β=0.296,P＜0.001)were directly related to responsive caregiving behavior.Additionally,knowledge of responsive caregiving indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.095,P=0.014),and social support indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.497,P＜0.001).Conclusion:The current level of responsive caregiving behavior among mothers of 0-1-year-old infants in Weifang City is not satisfactory.Future development of responsive care-giving interventions should focus on providing caregivers with relevant knowledge of responsive caregiving based on their needs.Additionally,it is essential to offer social support from multiple aspects to enhance caregivers' parenting self-efficacy,thereby promoting improvements in responsive caregiving behavior.

Objective:To describe the current status of responsive caregiving behavior of infant mothers,to analyze their influencing factors and pathways using the information-motivation-behavioral skills(IMB)model,and to provide a basis for further interventions related to responsive caregiving be-haviors and comprehensive promotion of early childhood development.Methods:This study was a cross-sectional survey using convenience sampling.Questionnaires were used to collect basic information about mothers and their infants,as well as data on mothers' responsive caregiving behavior,knowledge of re-sponsive caregiving,social support,and parenting self-efficacy.Multivariate linear regression models were employed to analyze the influencing factors of responsive caregiving behavior,and structural equa-tion modeling was used to analyze the pathways of these influencing factors.The criterion for inadequate responsive caregiving is defined as scores not exceeding the lower quartile(P25)of the total score.Results:Among 510 mothers of aged 0-12 months infants in Weifang City,the average score for respon-sive caregiving behavior was 16.41±3.99.The proportion of inadequate responsive caregiving was 25.7％.Mothers in the insufficient responsive caregiving group had lower scores in knowledge(7.70±1.41),social support(57.92±15.16),and parenting self-efficacy(30.36±6.48)compared with those in the sufficient group,with statistically significant differences(P＜0.001).Logistic regres-sion analysis indicated that the influencing factors for responsive caregiving included the level of know-ledge about responsive parenting[adjusted OR(aOR)=0.795,95％CI:0.566-0.838],social support(aOR=0.979,95％CI:0.961-0.996),and parenting self-efficacy(aOR=0.894,95％CI:0.857-0.932).Structural equation modeling revealed that knowledge of responsive caregiving(β=0.089,P=0.031),social support(β=0.153,P=0.001),and parenting self-efficacy(β=0.296,P＜0.001)were directly related to responsive caregiving behavior.Additionally,knowledge of responsive caregiving indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.095,P=0.014),and social support indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.497,P＜0.001).Conclusion:The current level of responsive caregiving behavior among mothers of 0-1-year-old infants in Weifang City is not satisfactory.Future development of responsive care-giving interventions should focus on providing caregivers with relevant knowledge of responsive caregiving based on their needs.Additionally,it is essential to offer social support from multiple aspects to enhance caregivers' parenting self-efficacy,thereby promoting improvements in responsive caregiving behavior.

Objective·To develop physiologically based pharmacokinetic(PBPK)models specifically designed for the Chinese population by utilizing the combination of clozapine and fluvoxamine as a case,and predict the drug-drug interaction(DDI)associated with the combination medication of clozapine,ultimately optimizing the dosage of clozapine.Methods·By obtaining the physicochemical parameters,absorption,distribution,metabolism,excretion(ADME)-related parameters,and physiologically relevant parameters of the Chinese population through literature and pharmacology-related databases,PBPK models for the clozapine and fluvoxamine were constructed by using PK-Sim? software.The models' accuracy was evaluated by comparing predicted values of the area under the curve(AUC)and peak concentration(Cmax)to observed data,using the mean percentage error(MPE)and mean absolute percentage error(MAPE)as evaluation indicators.The models were validated against real-world plasma drug concentration data.Additionally,combining the inhibitory effect of fluvoxamine on clozapine,models for the combination therapy of clozapine and fluvoxamine were developed to predict the pharmacokinetic changes of clozapine.The presence of clinically significant DDI was determined by using the 90%confidence interval of the AUC ratio(AUCR)or Cmax ratio(CmaxR)as evaluation metrics,with a non-effect boundary set at 80%?125%.The pharmacokinetic changes of clozapine upon co-administration with fluvoxamine based on PBPK models were quantified,and a dosage optimization for clozapine was developed.Results·The constructed model of clozapine and fluvoxamine was considered accurate if the absolute value of the MPE was≤10%and the MAPE was<25%during validation,indicating that the predicted concentration-time curves were accurate.The PBPK model for the co-administration of clozapine and fluvoxamine was able to accurately predict pharmacokinetic parameters if the ratio of predicted AUC to observed AUC was within 1.25.The prediction of PBPK model for the co-administration showed that the 90%confidence intervals for AUCR and CmaxR of the combination therapy of clozapine and fluvoxamine were not entirely within the ineffective effect boundary,indicating a clinically significant DDI when these two drugs were used concomitantly.Moreover,the dose optimization according to the PBPK models indicated that when subjects were co-administered with clozapine and fluvoxamine,reducing the dose of clozapine to 50%of the original dose could maintain the exposure levels of clozapine consistent with monotherapy.Conclusion·The established PBPK model can effectively simulate the impact of combination therapy on pharmacokinetic changes of clozapine,providing valuable insights for predicting potential DDI and optimizing dosage regimens.If clozapine needs to be co-administered with fluvoxamine during the treatment,clinicians should remain vigilant for clinically significant DDI and contemplate optimizing the dosage of clozapine accordingly.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

AIM: To compare the results calculated by population pharmacokinetic analysis tools Phoenix NLME, Monolix, R nlmixr package and CPhaMAS cloud platform with the gold standard sofeware NONMEM. METHODS: Fifty sparse sampling data sets based on a one-compartment model and fifty dense sampling data sets based on a two-compartment model were simulated, and the above five analysis tools were used to calculate the population typical value, individual variability and individual pharmacokinetic parameters. RESULTS: The population typical value and individual variability calculated by CPhaMAS and Phoenix NLME had the highest matching degree with NONMEM, followed by nlmixr. Monolix had the lowest matching degree, but Monolix and nlmixr might be more robust. The correspondence between clearance and distribution volume was better than the absorption rate constant. Except the absorption rate constant calculated by Monolix and intercompartmental clearance calculated by nlmixr, the correlation coefficients of individual pharmacokinetic parameters calculated by all analytical tools were greater than 0.99. CONCLUSION: The results calculated by the above four population pharmacokinetic analysis tools are highly correlated with that of NONMEM.

ObjectiveTo observe the effects of inspiration, expiration, and the contraction of muscle groups outside the pelvis combined on Kegel exercise for contraction of pelvic floor muscles. MethodsFrom October, 2021 to February, 2022, 20 healthy female were invited to perform simple Kegel exercise, and Kegel exercise as inspiration or expiration, and/or with contraction of muscle group outside the pelvis (transverse abdominal muscle, hip adductors and hip extortors), while the maximum distance of bladder bottom up was measured with ultrasonography. ResultsCompared with traditional Kegel exercise, the maximum distance of bladder bottom up was more as expiration, as well as with contraction of transverse abdominal muscle (P < 0.05). ConclusionKegel exercise as expiration or with transverse abdominal muscle contraction is more effective on pelvic floor muscle training.

Antipsychotics are the main treatments for schizophrenia, and their adverse effects are of great significance for the selection and optimization of clinical treatment. In terms of drug-induced cardiotoxicity, the QTc interval is usually used as an important evaluation indicator. QTc interval prolongation may cause torsades de pointes and sudden cardiac death. Although atypical antipsychotics have significantly improved safety compared to typical antipsychotics, great attention are still needed regarding drug-related cardiotoxicity. This article summarizes and discusses the relationship and its relevant influencing factors between atypical antipsychotics and QTc interval abnormalities.

Antipsychotics are the main treatments for schizophrenia, and their adverse effects are of great significance for the selection and optimization of clinical treatment. In terms of drug-induced cardiotoxicity, the QTc interval is usually used as an important evaluation indicator. QTc interval prolongation may cause torsades de pointes and sudden cardiac death. Although atypical antipsychotics have significantly improved safety compared to typical antipsychotics, great attention are still needed regarding drug-related cardiotoxicity. This article summarizes and discusses the relationship and its relevant influencing factors between atypical antipsychotics and QTc interval abnormalities.

Objective To study the clinical characteristics of neonatal Serratia marcescens sepsis.Method A retrospective review of perinatal factors,clinical manifestations,laboratory findings,treatment and prognosis of Serratia marcescens sepsis in our unit from January 2012 to November 2017.Result A total of 21 cases of serratia marcescens sepsis were identified (diagnosed),all except one were prematurely born.Infection occurred on different days after birth,2 within 3 days,1 within 3 ～ 7 days and 9 in the second week,and the remainder,after 14 days.The clinical manifestations of neonatal Serratia marcescens sepsis were uncharacteristic,mainly manifested as gray pallor,lethargy,and recurrent apnea.Some infants had complications such as pulmonary hemorrhage,septic shock,necrotizing enterocolitis and scleroderma.Most infants had low white blood cell count,thrombocytopenia and high C-reactive protein at the onset of illness.All Serratia marcescens cases were sensitive to piperacillin/tazobactam,ceftazidime and meropenen.In total,17 cases had lumbar puncture,5 of them diagnosed with meningitis,with elevation of cerebrospinal fluid white blood cell count and protein,and 3 infants complicated with brain abscess.The duration of antibiotic therapy were 14 days or more depending on the clinical conditions.The overall mortality was 14.3％.Conclusion Serratia marcescens is an important opportunistic pathogen.It might cause serious infections in the premature infants including sepsis,brain abscess and meningitis.Regular neuro-imagings might be necessary for all sepsis infants.The infected and colonized neonates might be the hidden source of Serratia marcescens.The surveillance protocols,eradication of colonization,and strict adherence to hand disinfection/washing might help to prevent dissemination of invasive bacteria among premature infants.

Objective To explore the stratification training and training methods demands for different level nursing staff, so as to provide evidence for constructing competence advanced management model for nursing staff.Methods Self-designed nursing staff′s training demands scale were arranged 256 clinical nursing staff except further study people, nursing staff working in Auxiliary Department, nursing staff with sick leave, maternity leave. Results In 256 nursing staff with different level, different level nursing staff had different demands on course demands and training methods, but it also existed some cross connections; they chose different training methods for different courses.Conclusions After investigation and analysis, the reliable plan has been made out to provide evidence for nursing staff competence advanced management model and to guide nursing team sustainable development.