Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective To investigate the application value of prognostic nutritional index and urea/creatinine ratio in nutritional status assessment for patients with esophageal cancer undergoing radiotherapy and chemotherapy.Methods A total of 138 patients with esophageal cancer who received radiotherapy and chemotherapy were screened.NRS 2002 nutritional screening was used as the standard.Prognostic nutritional index(PNI)and urea/cre-atinine ratio(UCR)were used to evaluate the malnutrition of patients with esophageal cancer.ROC curve was used to evaluate and compare the diagnostic efficacy of different nutritional screening tools.Results The biochemical and hematological indexes of patients with esophageal cancer showed certain characteristics,in which the levels of urea,creatinine,UCR,ALB,PALB,TP,TC,TG,HDL and LDL all fluctuated within the normal range.In terms of nutritional risk screening,the NRS 2002 score identified nutritional risk in 57.97%of patients,while the PNI and UCR predicted nutritional risk in 31.16%and 40.58%of patients,respectively.Consistency test showed that the Kappa value of PNI and NRS 2002 scores was 0.460(P<0.05),and the Kappa value of UCR and NRS 2002 scores was 0.522(P<0.05),indicating that there was a certain correlation between them and NRS 2002 scores in nutri-tional risk screening.Correlation analysis showed that NRS 2002 score was significantly correlated with UCR,ALB,PALB,PBL,Cr,HDL and TP(P<0.05),while PNI was significantly correlated with ALB,PALB,PBL,Cr,HDL,TP and UREA(P<0.05).There were significant correlations between UCR and PALB,UREA and Cr(P<0.05).Logistic univariate regression analysis further confirmed these correlations and revealed that malnutrition was negatively correlated with albumin,prealbumin,total protein,lymphocytes,creatinine and BMI,and positively correlated with urea.However,multivariate regression analysis did not find any statistical difference between these related factors and the two objective evaluation measures.The results of diagnostic efficacy evaluation showed that the area under ROC curve of PNI and UCR evaluation to predict esophageal cancer malnutrition was 0.779 and 0.736,respectively,with statistical significance(P<0.001).Among them,UCR showed higher sensitivity and PNI showed higher specificity,but there was no significant difference in diagnostic value between them.Conclusion PNI and UCR as nutritional assessment tools have certain application value in the nutritional risk screening of patients with esophageal cancer,but their consistency with NRS 2002 score needs to be improved.When assessing the nutritional status of patients,a combination of various indicators and methods should be used to achieve more accurate diagnostic results.

OBJECTIVE: To explore the genetic basis for 4 patients with globozoospermia. METHODS: Semen and blood samples were collected from the patients for the determination of sperm concentration, viability, survival rate, morphology and acrosome antigen CD46. Meanwhile, DNA was extracted for whole exome sequencing (WES), and candidate variants were validated by Sanger sequencing. RESULTS: All of the four patients were found to harbor variants of the DPY19L2 gene. Patients 1 ~ 3 had homozygous deletions of the DPY19L2 gene. Sanger sequencing confirmed that the DPY19L2 gene in patient 3 was disrupted at a recombination breakpoint area BP2, resulting in nonallelic homologous recombination and complete deletion of the DPY19L2 gene. Patients 2 and 3 respectively harbored novel homozygous deletions of exons 2 ~ 22 and exons 14 ~ 15. Patient 4 harbored heterozygous deletion of the DPY19L2 gene, in addition with a rare homozygous deletion of the 3' UTR region. CONCLUSION DPY19L2 gene variants probably underlay the globozoospermia in the four patients, which has fit an autosomal recessive pattern of inheritance and the characteristics of genomic diseases.
Male ; Humans ; Teratozoospermia/genetics* ; Homozygote ; Semen ; Sequence Deletion ; 3' Untranslated Regions ; Membrane Proteins