Objective To investigate the diagnostic and prognostic value of serum leucine-rich alpha-2-glycoprotein 1(LRG1)and dipeptidyl peptidase 4(DPP4)levels in patients with acute cerebral watershed infarction(ACWI).Methods Selected 150 ACWI patients treated in the Baoding Second Central Hospital from January 2022 to December 2023 as the study subjects(ACWI group),and another 120 volunteers who underwent physical examinations were regarded as the control group.According to the prognosis of ACWI patients,they were separated into a good prognosis group(n=98)and a poor prognosis group(n=52).ELISA was used to detect serum LRG1,DPP4 and carcinoembryonic amtigen(CEA)levels,a biochemical analyzer was used to detect levels of albumin(ALB),adenosine deaminase(ADA),creatinine(Cre).Multivariate logistic regression was applied to analyze the influencing factors of poor prognosis in ACWI patients.Spearman correlation analysis of LRG1 and DPP4 levels with NIHSS and mRS scores in the ACWI group.The ROC curve was applied to analyze the diagnostic value of LRG1 and DPP4 levels for the occurrence of ACWI and prognosis,and Z-test was used to compare the differences in AUC.Results The serum LRG1(56.03±16.11pg/ml)and DPP4(9.90±3.25ng/L)levels in ACWI patients were higher than those in the control group(41.78±12.54pg/ml,7.34±2.32ng/L),the differences were statistically significant(t=7.951,7.272,all P＜0.001).ACWI patients with poor prognosis had higher National Institute of Health Stroke Scale NIHSS scores,mRS scores,larger infarct proportion,LRG1 and DPP4 levels than those with good prognosis(t/χ2=3.258～17.208),but had lower ALB levels than those with good prognosis(t=3.143),the differences were statistically significant(all P＜0.001).Multivariate logistic regression analysis showed that large area infarction,increased NIHSS score,mRS score,LRG1 and DPP4 levels were independent risk factors for poor prognosis in ACWI patients(Wald χ2=4.358～6.000,all P<0.05),while elevated ALB was an independent protective factor for poor prognosis in ACWI patients(Wald χ2=4.535,P<0.05).Spearman correlation analysis showed a positive correlation between serum LRG1 and DPP4 levels in ACWI patients(r=0.446,P<0.001).ROC curve analysis showed that the AUC(95%CI)for diagnosing ACWI with serum LRG1 and DPP4 were 0.788(0.734～0.835)and 0.790(0.736～0.837),respectively,while the AUC(95%CI)for combined diagnosis was 0.922(0.883～0.951),which was better than individual diagnosis(Z=5.798,5.612,all P<0.05).The AUC(95%CI)of LRG1 and DPP4 in diagnosing ACWI patients with poor prognosis was 0.796(0.722～0.857)and 0.800(0.727～0.861),respectively,and the AUC(95%CI)of combined diagnosis was 0.924(0.869～0.961),which was better than their respective individual diagnoses(Z=2.891,4.222,all P<0.05).Conclusion LRG1 and DPP4 levels are higher in the serum of ACWI patients and higher in patients with poor prognosis.The two levels are positively correlated,and the combination has a certain value in diagnosing the occurrence of ACWI and poor prognosis,which provides a theoretical basis for clinical diagnosis.

Objective To investigate the diagnostic and prognostic value of serum leucine-rich alpha-2-glycoprotein 1(LRG1)and dipeptidyl peptidase 4(DPP4)levels in patients with acute cerebral watershed infarction(ACWI).Methods Selected 150 ACWI patients treated in the Baoding Second Central Hospital from January 2022 to December 2023 as the study subjects(ACWI group),and another 120 volunteers who underwent physical examinations were regarded as the control group.According to the prognosis of ACWI patients,they were separated into a good prognosis group(n=98)and a poor prognosis group(n=52).ELISA was used to detect serum LRG1,DPP4 and carcinoembryonic amtigen(CEA)levels,a biochemical analyzer was used to detect levels of albumin(ALB),adenosine deaminase(ADA),creatinine(Cre).Multivariate logistic regression was applied to analyze the influencing factors of poor prognosis in ACWI patients.Spearman correlation analysis of LRG1 and DPP4 levels with NIHSS and mRS scores in the ACWI group.The ROC curve was applied to analyze the diagnostic value of LRG1 and DPP4 levels for the occurrence of ACWI and prognosis,and Z-test was used to compare the differences in AUC.Results The serum LRG1(56.03±16.11pg/ml)and DPP4(9.90±3.25ng/L)levels in ACWI patients were higher than those in the control group(41.78±12.54pg/ml,7.34±2.32ng/L),the differences were statistically significant(t=7.951,7.272,all P＜0.001).ACWI patients with poor prognosis had higher National Institute of Health Stroke Scale NIHSS scores,mRS scores,larger infarct proportion,LRG1 and DPP4 levels than those with good prognosis(t/χ2=3.258～17.208),but had lower ALB levels than those with good prognosis(t=3.143),the differences were statistically significant(all P＜0.001).Multivariate logistic regression analysis showed that large area infarction,increased NIHSS score,mRS score,LRG1 and DPP4 levels were independent risk factors for poor prognosis in ACWI patients(Wald χ2=4.358～6.000,all P<0.05),while elevated ALB was an independent protective factor for poor prognosis in ACWI patients(Wald χ2=4.535,P<0.05).Spearman correlation analysis showed a positive correlation between serum LRG1 and DPP4 levels in ACWI patients(r=0.446,P<0.001).ROC curve analysis showed that the AUC(95%CI)for diagnosing ACWI with serum LRG1 and DPP4 were 0.788(0.734～0.835)and 0.790(0.736～0.837),respectively,while the AUC(95%CI)for combined diagnosis was 0.922(0.883～0.951),which was better than individual diagnosis(Z=5.798,5.612,all P<0.05).The AUC(95%CI)of LRG1 and DPP4 in diagnosing ACWI patients with poor prognosis was 0.796(0.722～0.857)and 0.800(0.727～0.861),respectively,and the AUC(95%CI)of combined diagnosis was 0.924(0.869～0.961),which was better than their respective individual diagnoses(Z=2.891,4.222,all P<0.05).Conclusion LRG1 and DPP4 levels are higher in the serum of ACWI patients and higher in patients with poor prognosis.The two levels are positively correlated,and the combination has a certain value in diagnosing the occurrence of ACWI and poor prognosis,which provides a theoretical basis for clinical diagnosis.