Title |
Association of prealbumin levels with contrast-induced acute kidney injury in elderly patients with elective percutaneous coronary intervention
|
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Published in |
Clinical Interventions in Aging, April 2018
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DOI | 10.2147/cia.s162764 |
Pubmed ID | |
Authors |
Zhe-Bin You, Kai-Yang Lin, Wei-Ping Zheng, Chun-Jin Lin, Fan Lin, Tai-Lin Guo, Peng-Li Zhu, Yan-Song Guo |
Abstract |
Inflammatory factors play a critical role in contrast-induced acute kidney injury (CI-AKI). Prealbumin, a nutritional and inflammatory indicator, is a well-established predictor of short- and long-term outcomes in numerous clinical conditions. The current study investigated the association of pre-procedural prealbumin levels with CI-AKI and long-term outcomes in geriatric patients after elective percutaneous coronary intervention (PCI). A total of 558 patients aged≥75 years, who underwent elective PCI between January 2012 and December 2015, were selected for the current study. Pre-procedural prealbumin levels were measured before PCI. Multivariable logistic regression and Cox proportional hazard regression analyses were performed to identify the independent risk factors for CI-AKI and long-term mortality. Out of 558 patients, 54 developed CI-AKI. The optimal cutoff value of prealbumin for detecting CI-AKI was 185.5 mg/L with 62.7% sensitivity and 70.4% specificity based on the receiver operating characteristic analysis (C-statistic=0.710; 95% confidence interval [CI] 0.673-0.751). Multivariable analysis demonstrated that prealbumin≤185.5 mg/L was significantly associated with CI-AKI (odds ratio [OR] 0.397; 95% CI 0.195-0.808; P=0.011). Cox regression analysis demonstrated that prealbumin≤185.5 mg/L was associated with long-term mortality (adjusted hazard ratio [HR] 0.525; 95% CI 0.289-0.952; P=0.034) during the follow-up. Pre-procedural levels of prealbumin were independently associated with an increased risk of CI-AKI and long-term mortality in elderly patients undergoing elective PCI. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 3 | 12% |
Student > Master | 3 | 12% |
Other | 2 | 8% |
Student > Doctoral Student | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 3 | 12% |
Unknown | 10 | 40% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 8 | 32% |
Nursing and Health Professions | 3 | 12% |
Psychology | 1 | 4% |
Unspecified | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 40% |