Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients
Abstract Background To investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD). Methods We enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October...
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | BMC Nephrology |
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| Online Access: | https://doi.org/10.1186/s12882-024-03559-1 |
| _version_ | 1797219967026855936 |
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| author | Zhaoyu Shi Chen Sun Fei Zhou Jianlei Yuan Minyue Chen Xinyu Wang Xinquan Wang Yuan Zhang Dmytro Pylypenko Li Yuan |
| author_facet | Zhaoyu Shi Chen Sun Fei Zhou Jianlei Yuan Minyue Chen Xinyu Wang Xinquan Wang Yuan Zhang Dmytro Pylypenko Li Yuan |
| author_sort | Zhaoyu Shi |
| collection | DOAJ |
| description | Abstract Background To investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD). Methods We enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October 2022. Out of these patients, 63 underwent kidney biopsy measurements, and these patients were categorized into high (25–50%), low (< 25%), and no renal interstitial fibrosis (IF) (0%) groups. The study's endpoint event was the initiation of renal replacement therapy, kidney transplantation, or an increase of over 30% in serum creatinine levels. Cox regression analysis determined factors influencing unfavorable kidney outcomes. We employed Kaplan–Meier analysis to contrast kidney survival rates between the high and low T1 groups. Additionally, receiver-operating characteristic (ROC) curve analysis assessed the predictive accuracy of Native T1-mapping for kidney endpoint events. Results T1 values across varying fibrosis degree groups showed statistical significance (F = 4.772, P < 0.05). Multivariate Cox regression pinpointed 24-h urine protein, cystatin C(CysC), hemoglobin(Hb), and T1 as factors tied to the emergence of kidney endpoint events. Kaplan–Meier survival analysis revealed a markedly higher likelihood of kidney endpoint events in the high T1 group compared to the low T1 value group (P < 0.001). The ROC curves for variables (CysC, T1, Hb) tied to kidney endpoint events demonstrated area under the curves(AUCs) of 0.83 (95%CI: 0.75–0.91) for CysC, 0.77 (95%CI: 0.68–0.86) for T1, and 0.73 (95%CI: 0.63–0.83) for Hb. Combining these variables elevated the AUC to 0.88 (95%CI: 0.81–0.94). Conclusion Native T1-mapping holds promise in facilitating more precise and earlier detection of CKD patients most at risk for end-stage renal disease. |
| first_indexed | 2024-04-24T12:42:03Z |
| format | Article |
| id | doaj.art-ea103ce74a754fefbd0fb4cf2f6c8297 |
| institution | Directory Open Access Journal |
| issn | 1471-2369 |
| language | English |
| last_indexed | 2024-04-24T12:42:03Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Nephrology |
| spelling | doaj.art-ea103ce74a754fefbd0fb4cf2f6c82972024-04-07T11:11:29ZengBMCBMC Nephrology1471-23692024-04-012511910.1186/s12882-024-03559-1Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patientsZhaoyu Shi0Chen Sun1Fei Zhou2Jianlei Yuan3Minyue Chen4Xinyu Wang5Xinquan Wang6Yuan Zhang7Dmytro Pylypenko8Li Yuan9Department of Nephrology, Affiliated Hospital of Nantong UniversityDepartment of Nephrology, Affiliated Hospital of Nantong UniversityDepartment of Nephrology, Affiliated Hospital of Nantong UniversityDepartment of Nephrology, Affiliated Hospital of Nantong UniversityDepartment of Nephrology, Affiliated Hospital of Nantong UniversityNantong University Medical SchoolDepartment of Medical Imaging, Affiliated Hospital of Nantong UniversityDepartment of Nephrology, Affiliated Hospital of Nantong UniversityGE Healthcare, MR Research ChinaDepartment of Nephrology, Affiliated Hospital of Nantong UniversityAbstract Background To investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD). Methods We enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October 2022. Out of these patients, 63 underwent kidney biopsy measurements, and these patients were categorized into high (25–50%), low (< 25%), and no renal interstitial fibrosis (IF) (0%) groups. The study's endpoint event was the initiation of renal replacement therapy, kidney transplantation, or an increase of over 30% in serum creatinine levels. Cox regression analysis determined factors influencing unfavorable kidney outcomes. We employed Kaplan–Meier analysis to contrast kidney survival rates between the high and low T1 groups. Additionally, receiver-operating characteristic (ROC) curve analysis assessed the predictive accuracy of Native T1-mapping for kidney endpoint events. Results T1 values across varying fibrosis degree groups showed statistical significance (F = 4.772, P < 0.05). Multivariate Cox regression pinpointed 24-h urine protein, cystatin C(CysC), hemoglobin(Hb), and T1 as factors tied to the emergence of kidney endpoint events. Kaplan–Meier survival analysis revealed a markedly higher likelihood of kidney endpoint events in the high T1 group compared to the low T1 value group (P < 0.001). The ROC curves for variables (CysC, T1, Hb) tied to kidney endpoint events demonstrated area under the curves(AUCs) of 0.83 (95%CI: 0.75–0.91) for CysC, 0.77 (95%CI: 0.68–0.86) for T1, and 0.73 (95%CI: 0.63–0.83) for Hb. Combining these variables elevated the AUC to 0.88 (95%CI: 0.81–0.94). Conclusion Native T1-mapping holds promise in facilitating more precise and earlier detection of CKD patients most at risk for end-stage renal disease.https://doi.org/10.1186/s12882-024-03559-1Chronic kidney diseaseRenal fibrosisNative T1 mappingMagnetic resonance imaging |
| spellingShingle | Zhaoyu Shi Chen Sun Fei Zhou Jianlei Yuan Minyue Chen Xinyu Wang Xinquan Wang Yuan Zhang Dmytro Pylypenko Li Yuan Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients BMC Nephrology Chronic kidney disease Renal fibrosis Native T1 mapping Magnetic resonance imaging |
| title | Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| title_full | Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| title_fullStr | Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| title_full_unstemmed | Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| title_short | Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| title_sort | native t1 mapping as a predictor of progressive renal function decline in chronic kidney disease patients |
| topic | Chronic kidney disease Renal fibrosis Native T1 mapping Magnetic resonance imaging |
| url | https://doi.org/10.1186/s12882-024-03559-1 |
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