OBJECTIVE: To evaluate the value of combined detection of N-terminal pro-brain natriuretic peptide (NT-pro BNP) and high-sensitivity C-reactive protein (hs-CRP) in predicting acute kidney injury (AKI) after acute myocardial infarction (AMI). METHOD: We retrospectively analyzed data of 107 patients with AMI admitted to our hospital from May 2020 to May 2021. The patients were assigned into an AKI group (AKIG) (n = 27) and a non-AKI group (NAKIG) (n = 80) according to whether AKI occurred within 1 week after admission. A total of 50 healthy people who underwent physical examination at the same duration were taken as control group (CG). Clinical data, expression of hs-CPR and NT-pro BNP were detected and compared between AKIG and NAKIG. Logistic regression model was applied to analyze risk factors of AKI after AMI, and Pearson linear correlation was used to analyze the correlation of hs-CRP and NT-pro BNP in patients with both AMI and AKI. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were drawn and determined, and predictive value of hs-CRP and NT-pro BNP alone as well as in combination with AKI after AMI was analyzed respectively. RESULTS: Compared with CG, hs-CRP and NT-pro BNP of AKIG and NAKIG were markedly increased (P<0.0001). In AKIG, the levels of uric acid, blood urea nitrogen, serum creatinine (SCr), hs-CRP, NT-pro BNP were higher compared to those in NAKIG, while the estimated glomerular filtration rate (eGFR) was evidently lower than that of NAKIG (P<0.01). Logistic regression model suggested that the use of diuretics, SCr, eGFR, hs-CRP and NT-pro BNP were the risk factors of AKI in patients with AMI (P<0.05). The level of hs-CRP was positively related with NT-pro BNP (P<0.05). ROC curve analysis indicated AUCs of hs-CRP and NT-pro BNP alone as well as in combination were all over 0.8 in predicting the occurrence of AKI after AMI. CONCLUSION: The increase of hs-CRP and NT-pro BNP linked closely to the occurrence of AKI after AMI, and the combined detection of the two was of high value in predicting the occurrence of AKI among patients with AMI. AJTR
OBJECTIVE: To evaluate the value of combined detection of N-terminal pro-brain natriuretic peptide (NT-pro BNP) and high-sensitivity C-reactive protein (hs-CRP) in predicting acute kidney injury (AKI) after acute myocardial infarction (AMI). METHOD: We retrospectively analyzed data of 107 patients with AMI admitted to our hospital from May 2020 to May 2021. The patients were assigned into an AKI group (AKIG) (n = 27) and a non-AKI group (NAKIG) (n = 80) according to whether AKI occurred within 1 week after admission. A total of 50 healthy people who underwent physical examination at the same duration were taken as control group (CG). Clinical data, expression of hs-CPR and NT-pro BNP were detected and compared between AKIG and NAKIG. Logistic regression model was applied to analyze risk factors of AKI after AMI, and Pearson linear correlation was used to analyze the correlation of hs-CRP and NT-pro BNP in patients with both AMI and AKI. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were drawn and determined, and predictive value of hs-CRP and NT-pro BNP alone as well as in combination with AKI after AMI was analyzed respectively. RESULTS: Compared with CG, hs-CRP and NT-pro BNP of AKIG and NAKIG were markedly increased (P<0.0001). In AKIG, the levels of uric acid, blood urea nitrogen, serum creatinine (SCr), hs-CRP, NT-pro BNP were higher compared to those in NAKIG, while the estimated glomerular filtration rate (eGFR) was evidently lower than that of NAKIG (P<0.01). Logistic regression model suggested that the use of diuretics, SCr, eGFR, hs-CRP and NT-pro BNP were the risk factors of AKI in patients with AMI (P<0.05). The level of hs-CRP was positively related with NT-pro BNP (P<0.05). ROC curve analysis indicated AUCs of hs-CRP and NT-pro BNP alone as well as in combination were all over 0.8 in predicting the occurrence of AKI after AMI. CONCLUSION: The increase of hs-CRP and NT-pro BNP linked closely to the occurrence of AKI after AMI, and the combined detection of the two was of high value in predicting the occurrence of AKI among patients with AMI. AJTR
Authors: Eric A J Hoste; Norbert H Lameire; Raymond C Vanholder; Dominique D Benoit; Johan M A Decruyenaere; Francis A Colardyn Journal: J Am Soc Nephrol Date: 2003-04 Impact factor: 10.121
Authors: Emilio Rodríguez-Castro; Pablo Hervella; Iria López-Dequidt; Susana Arias-Rivas; María Santamaría-Cadavid; Ignacio López-Loureiro; Andrés da Silva-Candal; María Pérez-Mato; Tomás Sobrino; Francisco Campos; José Castillo; Manuel Rodríguez-Yáñez; Ramón Iglesias-Rey Journal: Int J Cardiol Date: 2019-06-20 Impact factor: 4.164
Authors: Salim Yusuf; Philip Joseph; Sumathy Rangarajan; Shofiqul Islam; Andrew Mente; Perry Hystad; Michael Brauer; Vellappillil Raman Kutty; Rajeev Gupta; Andreas Wielgosz; Khalid F AlHabib; Antonio Dans; Patricio Lopez-Jaramillo; Alvaro Avezum; Fernando Lanas; Aytekin Oguz; Iolanthe M Kruger; Rafael Diaz; Khalid Yusoff; Prem Mony; Jephat Chifamba; Karen Yeates; Roya Kelishadi; Afzalhussein Yusufali; Rasha Khatib; Omar Rahman; Katarzyna Zatonska; Romaina Iqbal; Li Wei; Hu Bo; Annika Rosengren; Manmeet Kaur; Viswanathan Mohan; Scott A Lear; Koon K Teo; Darryl Leong; Martin O'Donnell; Martin McKee; Gilles Dagenais Journal: Lancet Date: 2019-09-03 Impact factor: 79.321