Objective:To establish and validate a prediction model based on least absolute shrinkage and selection operator（LASSO）regression and classification and regression tree（CART）algorithm for acute kidney injury（AKI）in PICU.Methods:The prospective derivation cohort consisted of 350 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from September 2020 to January 2021.The external data set consisting of 866 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from February 2021 to February 2022 was employed for the external validation.Clinical data was obtained from the electronic medical record system，including demographic characteristics，laboratory data and the pediatric risk of mortality Ⅲ（PRISM Ⅲ）score.The variables associated with AKI were identified using LASSO regression.Subsequently，a decision tree prediction model was built using the CART algorithm.The predictive value of decision tree prediction model was evaluated using the receiver operating characteristic（ROC）curve，calibration curve，and decision curve analysis.Results:Among the 350 children in the derivation cohort，107（30.6%）developed AKI during the PICU stay；and of 866 children in the external validation cohort，165（19.1%）developed AKI during the PICU stay.The LASSO regression screened 16 candidate variables for further analysis，and the decision tree model ultimately identified 4 variables more closely associated with AKI，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein.The decision tree model exhibited high accuracy with AUC of 0.92，0.88，and 0.86 in the training，internal validation，and external validation cohorts，respectively.The model demonstrated good calibration and clinical applicability based on the calibration curve and decision curve analysis.Conclusion:The decision tree model based on the 4 identified clinical indicators，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein，is effective for the early prediction of AKI.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Objective:To establish and validate a prediction model based on least absolute shrinkage and selection operator（LASSO）regression and classification and regression tree（CART）algorithm for acute kidney injury（AKI）in PICU.Methods:The prospective derivation cohort consisted of 350 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from September 2020 to January 2021.The external data set consisting of 866 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from February 2021 to February 2022 was employed for the external validation.Clinical data was obtained from the electronic medical record system，including demographic characteristics，laboratory data and the pediatric risk of mortality Ⅲ（PRISM Ⅲ）score.The variables associated with AKI were identified using LASSO regression.Subsequently，a decision tree prediction model was built using the CART algorithm.The predictive value of decision tree prediction model was evaluated using the receiver operating characteristic（ROC）curve，calibration curve，and decision curve analysis.Results:Among the 350 children in the derivation cohort，107（30.6%）developed AKI during the PICU stay；and of 866 children in the external validation cohort，165（19.1%）developed AKI during the PICU stay.The LASSO regression screened 16 candidate variables for further analysis，and the decision tree model ultimately identified 4 variables more closely associated with AKI，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein.The decision tree model exhibited high accuracy with AUC of 0.92，0.88，and 0.86 in the training，internal validation，and external validation cohorts，respectively.The model demonstrated good calibration and clinical applicability based on the calibration curve and decision curve analysis.Conclusion:The decision tree model based on the 4 identified clinical indicators，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein，is effective for the early prediction of AKI.

Acute pancreatitis (AP) is a common clinical disease, which can lead to multiple organ failure or even death in severe cases. With the in-depth study of the pathophysiological mechanisms of AP and the accumulation of clinical practice, many medical organisations at home and abroad have issued several corrections of the diagnosis and treatment guidelines for AP, which provide an important basis for clinicians to diagnose and treat this disease. In this article, we compare and analyze the guidelines and consensus opinions on AP in the past five years at home and abroad, aiming to provide reference for the formulation of new clinical guidelines and the direction of related research.

Objective To understand the distribution and antimicrobial resistance profiles of bacterial strains isolated from blood cultures at Yunyang County People's Hospital from 2019 to 2023.Methods The data of bacterial isolates from blood samples and the results of antimicrobial susceptibility testing were analyzed retrospectively from 2019 to 2023 at Yunyang County People's Hospital.Results A total of 3 789 bacterial strains were isolated from blood culture,including 1 931(51.0％)strains of Gram negative bacteria and 1 858(49.0％)strains of Gram positive bacteria.Coagulase negative Staphylococcus(33.3％),Escherichia coli(25.4％),Klebsiella pneumoniae(13.7％),Staphylococcus aureus(9.9％),and Enterobacter cloacae(1.8％)were the top five bacterial pathogens.Antimicrobial susceptibility testing showed that the prevalence of methicillin-resistant strains was 27.1％in S.aureus,34.5％in S.epidermidis,and 49.9％in other coagulase-negative Staphylococcus.Methicillin resistant strains(MRSA,MRSE,and other MRCNS)showed significantly higher resistance rates to most antibiotics than corresponding methicillin-susceptible strains(MSSA,MSSE,and other MSCNS).No staphylococcal isolates were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.Enterococcus faecium showed significantly higher resistance rate to antibiotics than Enterococcus faecalis.No enterococcal strains were resistant to vancomycin,teicoplanin,linezolid,or tigecycline.No streptococcal isolates were found resistant to vancomycin or linezolid.Serratia marcescens strains had a resistance rate of 25.0％to carbapenems.All other Enterobacterales species showed a resistance rate of less than 10.0％to carbapenems.No Enterobacterales isolates were found resistant to tigecycline.The resistance rates of P.aeruginosa to imipenem and meropenem were 5.7％and 3.8％,respectively.No P.aeruginosa isolates were found resistant to colistin.The resistance rates of Acinetobacter baumannii to imipenem and meropenem were 41.4％and 38.0％,respectively.Conclusions The proportion of Gram negative bacteria is slightly higher than that of Gram positive bacteria in the bacterial isolates from blood samples at Yunyang County People's Hospital.The prevalence of MRSA and MRCNS is relatively high,while A.baumannii and S.marcescens showed high resistance rates to carbapenems.Antimicrobial resistance surveillance should be strengthened for the bacterial isolates from blood samples in order to learn the changing resistance profiles,use antibiotics reasonably,and prevent the spread of drug-resistant bacteria.

Objective:To investigate the efficacy of the patient and family-centered care (PFCC) model in malignant tumor children with peripherally inserted central catheter (PICC) .Methods:Convenience sampling was used to select 136 malignant tumor children with PICC admitted to the Second Affiliated Hospital of Wenzhou Medical University and their families from May 2023 to May 2024 as study subjects. The subjects were divided into an intervention group and a control group of 68 cases each. Control group implemented routine PICC care, and intervention group carried out care based on PFCC model on the basis of control group. Children's self-management ability, catheter maintenance compliance and family satisfaction with nursing were compared between the two groups.Results:A total of 128 children and their families were finally included, 65 in intervention group and 63 in control group. After intervention, the knowledge, attitude, and practice dimension scores and total scores of self-management ability of children in both groups were higher than those before intervention, and the knowledge, attitude, and practice dimension scores and total scores of intervention group were higher than those of control group, with statistically significant differences (all P<0.05) . The excellent rate of catheter maintenance compliance and the nursing satisfaction of the children's families in intervention group were higher than those in control group after intervention, and the differences were statistically significant (all P<0.05) . Conclusions:The application of the PFCC model to malignant tumor children with PICC can enhance children's self-management ability and catheter maintenance compliance, and improve family satisfaction with nursing.