Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings
Introduction: Cardiorenal syndrome (CRS) is a common and critical complication of sepsis, with high morbidity and mortality rates. Studies on biomarkers for the early prediction of septic CRS are sporadic. Classic and novel potential biomarkers were identified to explore their diagnostic...
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| Format: | Article |
| Language: | English |
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Karger Publishers
2025-01-01
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| Series: | Cardiorenal Medicine |
| Online Access: | https://karger.com/article/doi/10.1159/000543462 |
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| author | Yuanyuan Pei Liping Guo Guangping Zhou Lingjie Cao Wenfeng Huang Fengtao Yang Dilu Li Cheng Chi Jihong Zhu |
| author_facet | Yuanyuan Pei Liping Guo Guangping Zhou Lingjie Cao Wenfeng Huang Fengtao Yang Dilu Li Cheng Chi Jihong Zhu |
| author_sort | Yuanyuan Pei |
| collection | DOAJ |
| description |
Introduction: Cardiorenal syndrome (CRS) is a common and critical complication of sepsis, with high morbidity and mortality rates. Studies on biomarkers for the early prediction of septic CRS are sporadic. Classic and novel potential biomarkers were identified to explore their diagnostic performance of in patients with septic CRS. Methods: A total of 138 patients with sepsis from Peking University People’s Hospital were enrolled in this prospective observational study, which was conducted between May 2019 and June 2022. The patients were divided into non-CRS (n = 106) and CRS (n = 32) groups. Serum levels of cystatin C, KIM-1, neutrophil gelatinase-associated lipocalin (NGAL), and α-Klotho were detected at admission using enzyme-linked immunosorbent assay. The relationship between the biomarker levels and risk factors of CRS were analyzed, as well as discrimination accuracy comparisons were performed. Results: The incidence of CRS in patients with sepsis was 23.2% (32/138) during hospitalization, with an obvious mortality. Compared with the non-CRS group, serum cystatin C, brain natriuretic peptide (BNP), troponin-I (TNI), KIM-1, and NGAL levels were both significantly elevated at admission in patients with sepsis complicated with CRS. Logistic regression analysis revealed that BNP, TNI, cystatin C, albumin, Lac, D-dimer were risk factors for CRS in sepsis patients. Compared with other biomarkers, serum cystatin C had moderate discriminative power for predicting septic CRS (area under a receiver operating characteristic curve, 0.746; sensitivity, 0.719; specificity, 0.783). BNP combined with cystatin C and D-dimer demonstrated an excellent discrimination performance, for its AUROC was up to 0.878 (sensitivity, 0.844; specificity, 0.759). Conclusion: Serum cystatin C, BNP, TNI, KIM-1, and NGAL levels are elevated in patients with septic CRS. Our study provides reliable evidence that cystatin C in combination with BNP and D-dimer might better predict septic CRS upon admission. Further research on sensitive biomarkers is needed. |
| format | Article |
| id | doaj-art-b3dd825aafec43fdaa0ce2f40e415ebc |
| institution | Kabale University |
| issn | 1664-5502 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Karger Publishers |
| record_format | Article |
| series | Cardiorenal Medicine |
| spelling | doaj-art-b3dd825aafec43fdaa0ce2f40e415ebc2025-08-20T03:49:41ZengKarger PublishersCardiorenal Medicine1664-55022025-01-0115119820810.1159/000543462Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency SettingsYuanyuan PeiLiping GuoGuangping ZhouLingjie CaoWenfeng HuangFengtao YangDilu LiCheng ChiJihong Zhu Introduction: Cardiorenal syndrome (CRS) is a common and critical complication of sepsis, with high morbidity and mortality rates. Studies on biomarkers for the early prediction of septic CRS are sporadic. Classic and novel potential biomarkers were identified to explore their diagnostic performance of in patients with septic CRS. Methods: A total of 138 patients with sepsis from Peking University People’s Hospital were enrolled in this prospective observational study, which was conducted between May 2019 and June 2022. The patients were divided into non-CRS (n = 106) and CRS (n = 32) groups. Serum levels of cystatin C, KIM-1, neutrophil gelatinase-associated lipocalin (NGAL), and α-Klotho were detected at admission using enzyme-linked immunosorbent assay. The relationship between the biomarker levels and risk factors of CRS were analyzed, as well as discrimination accuracy comparisons were performed. Results: The incidence of CRS in patients with sepsis was 23.2% (32/138) during hospitalization, with an obvious mortality. Compared with the non-CRS group, serum cystatin C, brain natriuretic peptide (BNP), troponin-I (TNI), KIM-1, and NGAL levels were both significantly elevated at admission in patients with sepsis complicated with CRS. Logistic regression analysis revealed that BNP, TNI, cystatin C, albumin, Lac, D-dimer were risk factors for CRS in sepsis patients. Compared with other biomarkers, serum cystatin C had moderate discriminative power for predicting septic CRS (area under a receiver operating characteristic curve, 0.746; sensitivity, 0.719; specificity, 0.783). BNP combined with cystatin C and D-dimer demonstrated an excellent discrimination performance, for its AUROC was up to 0.878 (sensitivity, 0.844; specificity, 0.759). Conclusion: Serum cystatin C, BNP, TNI, KIM-1, and NGAL levels are elevated in patients with septic CRS. Our study provides reliable evidence that cystatin C in combination with BNP and D-dimer might better predict septic CRS upon admission. Further research on sensitive biomarkers is needed. https://karger.com/article/doi/10.1159/000543462 |
| spellingShingle | Yuanyuan Pei Liping Guo Guangping Zhou Lingjie Cao Wenfeng Huang Fengtao Yang Dilu Li Cheng Chi Jihong Zhu Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings Cardiorenal Medicine |
| title | Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings |
| title_full | Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings |
| title_fullStr | Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings |
| title_full_unstemmed | Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings |
| title_short | Biomarkers for Predicting of Sepsis-Induced Cardiorenal Syndrome in Emergency Settings |
| title_sort | biomarkers for predicting of sepsis induced cardiorenal syndrome in emergency settings |
| url | https://karger.com/article/doi/10.1159/000543462 |
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