Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury
Background Acute kidney injury (AKI) is a common complication in heart failure (HF) patients. Patients with heart failure who experience renal injury tend to have a poor prognosis. The objective of this study is to examine the correlation between the occurrence of AKI in heart failure patients and d...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Renal Failure |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2025.2452205 |
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| author | Xiya Wang Wenqing Ji Shuxing Wei Zhong Dai Xinzhen Gao Xue Mei Shubin Guo |
| author_facet | Xiya Wang Wenqing Ji Shuxing Wei Zhong Dai Xinzhen Gao Xue Mei Shubin Guo |
| author_sort | Xiya Wang |
| collection | DOAJ |
| description | Background Acute kidney injury (AKI) is a common complication in heart failure (HF) patients. Patients with heart failure who experience renal injury tend to have a poor prognosis. The objective of this study is to examine the correlation between the occurrence of AKI in heart failure patients and different mean arterial pressure (MAP) trajectories, with the goal of improving early identification and intervention for AKI.Methods A retrospective study was conducted on patients with heart failure using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV). We utilized the group-based trajectory modeling (GBTM) method to classify the 24-hour MAP change trajectories in heart failure patients. The occurrence of AKI within the first 7 days of intensive care unit (ICU) admission was considered the outcome. The impact of MAP trajectories on AKI occurrence in heart failure patients was analyzed using Cox proportional hazards models, competing risk models, and doubly robust estimation methods.Results A cohort of 8,502 HF patients was analyzed, with their 24-hour MAP trajectories categorized into five groups: Low MAP group (Class 1), Medium MAP group (Class 2), Low-medium MAP group (Class 3), High-to-low MAP group (Class 4), and High MAP group (Class 5). The results from the doubly robust analysis revealed that Class 4 exhibited a significantly increased AKI risk than Class 3 (HR 1.284, 95% CI 1.085–1.521, p = 0.003; HR 1.271, 95% CI 1.074–1.505, p = 0.005). Conversely, the risks of Class 2 were significantly lower than those of Class 3 (HR 0.846, 95% CI 0.745–0.960, p = 0.009; HR 0.879, 95% CI 0.774–0.998, p = 0.047).Conclusions The 24-hour MAP trajectory in HF patients influences the risk of AKI. A rapid decrease in MAP (Class 4) is associated with a higher AKI risk, while maintaining MAP at a moderate level (Class 2) significantly reduces this risk. Therefore, closely monitoring MAP changes is crucial for preventing AKI in HF. |
| format | Article |
| id | doaj-art-155fb920f6e8433087cff1f0d3f447fd |
| institution | Kabale University |
| issn | 0886-022X 1525-6049 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj-art-155fb920f6e8433087cff1f0d3f447fd2025-01-20T06:34:34ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492025-12-0147110.1080/0886022X.2025.2452205Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injuryXiya Wang0Wenqing Ji1Shuxing Wei2Zhong Dai3Xinzhen Gao4Xue Mei5Shubin Guo6Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, ChinaEmergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, ChinaEmergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, ChinaLIANREN Digital Health Co., Ltd, Shanghai, ChinaLIANREN Digital Health Co., Ltd, Shanghai, ChinaEmergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, ChinaEmergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, ChinaBackground Acute kidney injury (AKI) is a common complication in heart failure (HF) patients. Patients with heart failure who experience renal injury tend to have a poor prognosis. The objective of this study is to examine the correlation between the occurrence of AKI in heart failure patients and different mean arterial pressure (MAP) trajectories, with the goal of improving early identification and intervention for AKI.Methods A retrospective study was conducted on patients with heart failure using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV). We utilized the group-based trajectory modeling (GBTM) method to classify the 24-hour MAP change trajectories in heart failure patients. The occurrence of AKI within the first 7 days of intensive care unit (ICU) admission was considered the outcome. The impact of MAP trajectories on AKI occurrence in heart failure patients was analyzed using Cox proportional hazards models, competing risk models, and doubly robust estimation methods.Results A cohort of 8,502 HF patients was analyzed, with their 24-hour MAP trajectories categorized into five groups: Low MAP group (Class 1), Medium MAP group (Class 2), Low-medium MAP group (Class 3), High-to-low MAP group (Class 4), and High MAP group (Class 5). The results from the doubly robust analysis revealed that Class 4 exhibited a significantly increased AKI risk than Class 3 (HR 1.284, 95% CI 1.085–1.521, p = 0.003; HR 1.271, 95% CI 1.074–1.505, p = 0.005). Conversely, the risks of Class 2 were significantly lower than those of Class 3 (HR 0.846, 95% CI 0.745–0.960, p = 0.009; HR 0.879, 95% CI 0.774–0.998, p = 0.047).Conclusions The 24-hour MAP trajectory in HF patients influences the risk of AKI. A rapid decrease in MAP (Class 4) is associated with a higher AKI risk, while maintaining MAP at a moderate level (Class 2) significantly reduces this risk. Therefore, closely monitoring MAP changes is crucial for preventing AKI in HF.https://www.tandfonline.com/doi/10.1080/0886022X.2025.2452205Acute kidney injuryheart failuremean arterial pressuregroup-based trajectory modelingdoubly robust estimation |
| spellingShingle | Xiya Wang Wenqing Ji Shuxing Wei Zhong Dai Xinzhen Gao Xue Mei Shubin Guo Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury Renal Failure Acute kidney injury heart failure mean arterial pressure group-based trajectory modeling doubly robust estimation |
| title | Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| title_full | Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| title_fullStr | Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| title_full_unstemmed | Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| title_short | Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| title_sort | heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury |
| topic | Acute kidney injury heart failure mean arterial pressure group-based trajectory modeling doubly robust estimation |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2025.2452205 |
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