1
|
Liu Y, Tan N, Huo Y, Chen SQ, Liu J, Wang Y, Li L, Tao JH, Su X, Zhang L, Li QX, Zhang JY, Guo YS, Du ZM, Zhou YP, Fang ZF, Xu GM, Liang Y, Tao L, Chen H, Ji Z, Han B, Chen PY, Ge JB, Han YL, Chen JY. Simplified Rapid Hydration Prevents Contrast-Associated Acute Kidney Injury Among CKD Patients Undergoing Coronary Angiography. JACC Cardiovasc Interv 2023; 16:1503-1513. [PMID: 37380233 DOI: 10.1016/j.jcin.2023.03.025] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/06/2023] [Accepted: 03/14/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND Patients with chronic kidney disease (CKD) undergoing coronary angiography (CAG) are at high risk of contrast-associated acute kidney injury (CA-AKI) and mortality. Therefore, there is a clinical need to explore safe, convenient, and effective strategies for preventing CA-AKI. OBJECTIVES This study sought to assess whether simplified rapid hydration is noninferior to standard hydration for CA-AKI prevention in patients with CKD. METHODS This multicenter, open-label, randomized controlled study was conducted across 21 teaching hospitals and included 1,002 patients with CKD. Patients were randomized to either simplified hydration (SH) (SH group, with normal saline from 1 hour before to 4 hours after CAG at a rate of 3 mL/kg/h) or standard hydration (control group, with normal saline 12 hours before and 12 hours after CAG at a rate of 1 mL/kg/h). The primary endpoint of CA-AKI was a ≥25% or 0.5-mg/dL rise in serum creatinine from baseline within 48 to 72 hours. RESULTS CA-AKI occurred in 29 of 466 (6.2%) patients in the SH group and in 38 of 455 (8.4%) patients in the control group (relative risk: 0.8; 95% CI: 0.5-1.2; P = 0.216). In addition, the risk of acute heart failure and 1-year major adverse cardiovascular events did not differ significantly between the groups. However, the median hydration duration was significantly shorter in the SH group than in the control group (6 vs 25 hours; P < 0.001). CONCLUSIONS In CKD patients undergoing CAG, SH is noninferior to standard hydration in preventing CA-AKI with a shorter hydration duration.
Collapse
Affiliation(s)
- Yong Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Ning Tan
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Shi-Qun Chen
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Jin Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yan Wang
- Xiamen Key Laboratory of Cardiovascular Disease, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China
| | - Lang Li
- Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi, China
| | - Jian-Hong Tao
- Department of Cardiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xi Su
- Department of Cardiology, Wuhan Asia Heart Hospital, Wuhan, China
| | - Li Zhang
- Department of Cardiology, West China Hospital, Sichuan University, China
| | - Qing-Xian Li
- Department of Cardiology, Affiliated Hospital, Jining Medical College, Shandong, China
| | - Jin-Ying Zhang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan-Song Guo
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Zhi-Min Du
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Department of Heart Brain and Vessel Diseases, Dongguan Tungwah Hospital, Dongguan, China
| | - Yin-Pin Zhou
- Department of Cardiology, ChongQing FuLing Central Hospital, Chong Qing, China
| | - Zhen-Fei Fang
- Department of Cardiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Guang-Ma Xu
- Department of Cardiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Province, China
| | - Yan Liang
- Department of Cardiology, Maoming People's Hospital, Maoming, China
| | - Ling Tao
- Department of Cardiology, Xijing Hospital, Air Force Military Medical University, Shaanxi, China
| | - Hui Chen
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zheng Ji
- Department of Cardiology, Tangshan Gongren Hospital, Hebei, China
| | - Bing Han
- Department of Cardiology, Xuzhou Central Hospital, Xuzhou, China
| | - Ping-Yan Chen
- Department of Biostatistics, Southern Medical University, Guangzhou, China
| | - Jun-Bo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Disease, Shanghai, China
| | - Ya-Ling Han
- Cardiovascular Research Institute and Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Ji-Yan Chen
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| |
Collapse
|
2
|
Zhou N, Ji Z, Li F, Qiao B, Lin R, Jiang W, Zhu Y, Lin Y, Zhang K, Li S, You B, Gao P, Dong R, Wang Y, Du J. Machine Learning-Based Personalized Risk Prediction Model for Mortality of Patients Undergoing Mitral Valve Surgery: The PRIME Score. Front Cardiovasc Med 2022; 9:866257. [PMID: 35433879 PMCID: PMC9010531 DOI: 10.3389/fcvm.2022.866257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/01/2022] [Indexed: 11/24/2022] Open
Abstract
Background Mitral valve surgery (MVS) is an effective treatment for mitral valve diseases. There is a lack of reliable personalized risk prediction models for mortality in patients undergoing mitral valve surgery. Our aim was to develop a risk stratification system to predict all-cause mortality in patients after mitral valve surgery. Methods Different machine learning models for the prediction of all-cause mortality were trained on a derivation cohort of 1,883 patients undergoing mitral valve surgery [split into a training cohort (70%) and internal validation cohort (30%)] to predict all-cause mortality. Forty-five clinical variables routinely evaluated at discharge were used to train the models. The best performance model (PRIME score) was tested in an externally validated cohort of 220 patients undergoing mitral valve surgery. The model performance was evaluated according to the area under the curve (AUC). Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were compared with existing risk strategies. Results After a median follow-up of 2 years, there were 133 (7.063%) deaths in the derivation cohort and 17 (7.727%) deaths in the validation cohort. The PRIME score showed an AUC of 0.902 (95% confidence interval [CI], 0.849–0.956) in the internal validation cohort and 0.873 (95% CI: 0.769–0.977) in the external validation cohort. In the external validation cohort, the performance of the PRIME score was significantly improved compared with that of the existing EuroSCORE II (NRI = 0.550, [95% CI 0.001–1.099], P = 0.049, IDI = 0.485, [95% CI 0.230–0.741], P < 0.001). Conclusion Machine learning-based model (the PRIME score) that integrate clinical, demographic, imaging, and laboratory features demonstrated superior performance for the prediction of mortality patients after mitral valve surgery compared with the traditional risk model EuroSCORE II. Clinical Trial Registration [http://www.clinicaltrials.gov], identifier [NCT05141292].
Collapse
Affiliation(s)
- Ning Zhou
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhili Ji
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Fengjuan Li
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Bokang Qiao
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rui Lin
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wenxi Jiang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yuexin Zhu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yuwei Lin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Kui Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Shuanglei Li
- Department of Cardiac Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Bin You
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center, Peking University, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing, China
| | - Ran Dong
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- *Correspondence: Ran Dong,
| | - Yuan Wang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Yuan Wang,
| | - Jie Du
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Jie Du,
| |
Collapse
|
3
|
Denegri A, Mehran R, Holy E, Taramasso M, Pasotti E, Pedrazzini G, Moccetti T, Maisano F, Nietlispach F, Obeid S. Post procedural risk assessment in patients undergoing trans aortic valve implantation according to the age, creatinine, and ejection fraction-7 score: Advantages of age, creatinine, and ejection fraction-7 in stratification of post-procedural outcome. Catheter Cardiovasc Interv 2018; 93:141-148. [PMID: 30269398 DOI: 10.1002/ccd.27806] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 06/30/2018] [Accepted: 07/12/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND Post-procedural risk stratification based on renal function after trans aortic valve implantation (TAVI) was assessed by means of a modified age, creatinine, and ejection fraction (ACEF) score using the lowest glomerular filtration rate (GFR), obtained within 1 week after valve implantation. We refer to the score as ACEF-7 score. METHODS The Zurich- and Cardiocentro Ticino TAVI-Cohorts comprised of 424, and 137 patients, who were not on hemodialysis and had already survived the first post-procedural week. Zurich patients were stratified into tertiles of ACEF-7 score (ACEF-7Low ≤ 2.45 (n = 138), ACEF-7Mid 2.46-4.38 (n = 142), and ACEF-7High ≥ 4.39 (n = 144) and compared for survival using KM curves. Euroscore II, Society of Thoracic Surgeons (STS), and ACEF were also calculated at baseline in all patients and assessed for prognostic significance in predicting the primary outcome of 1-year all-cause mortality using univariate and multivariate Cox regression models. Results were then confirmed in the Cardiocentro cohort. RESULTS Six months (18.1% vs. 6.3% vs. 2.9% P < 0.001) and 1-year all-cause mortality (24.3% vs. 12.7% % vs. 5.8%, P < 0.001), as well as the composite of death or rehospitalization (35% vs. 20% vs. 11% P < 0.001) occurred significantly more frequently in the ACEF-7High compared to the other groups. Both Euroscore II and STS score were not predictors of mortality in our cohort. In a multivariate Cox regression model corrected for gender, Acute Kidney Injury, and baseline ACEF score, the ACEF-7 score was an independent predictor of 1-year all-cause mortality as a per point increment HR 1.512 [95% CI 1.227-1.862, P < 0.001] and as ACEF-7High (≥4.39); HR 5.541 [1.694-18.120]). In addition, the ACEF-7 tertiles showed a significant (P = 0.02) net reclassification improvement of 16% when compared to baseline tertiles of ACEF score, when assessing 1-year all-cause mortality. CONCLUSION Post-procedural risk stratification using the simple ACEF-7 score significantly better predicted long-term outcome than commonly used risk-scores. Practical implications could include contrast sparing and renal protection in high-risk patients, emphasizing the importance of preventative measures.
Collapse
Affiliation(s)
- Andrea Denegri
- University Heart Center, University Hospital, Zurich, Switzerland.,Cardiocentro Lugano, University of Zurich, Lugano, Switzerland.,Cardiology Unit and Laboratory of Cardiovascular Biology, IRCCS-AOU San Martino-IST University of Genova, Genoa, Italy
| | | | - Erik Holy
- University Heart Center, University Hospital, Zurich, Switzerland
| | | | - Elena Pasotti
- Cardiocentro Lugano, University of Zurich, Lugano, Switzerland
| | | | | | | | | | - Slayman Obeid
- University Heart Center, University Hospital, Zurich, Switzerland
| |
Collapse
|
4
|
Shah R, Wood SJ, Khan SA, Chaudhry A, Rehan Khan M, Morsy MS. High-volume forced diuresis with matched hydration using the RenalGuard System to prevent contrast-induced nephropathy: A meta-analysis of randomized trials. Clin Cardiol 2017; 40:1242-1246. [PMID: 29247527 DOI: 10.1002/clc.22817] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 09/11/2017] [Accepted: 09/16/2017] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Contrast-induced nephropathy (CIN) is a well-recognized complication of coronary angiography that is associated with poor outcomes. Several small randomized controlled trials (RCTs) have recently shown that in patients with chronic kidney disease (CKD), furosemide-induced forced diuresis with matched hydration using the RenalGuard system can prevent its occurrence. However, individual studies have been underpowered and thus cannot show significant differences in major clinical endpoints. HYPOTHESIS Forced diuresis with matched hydration using the RenalGuard system improves clinical outcomes in patients undergoing coronary angiography. METHODS Scientific databases and websites were searched for relevant RCTs. The pooled risk ratios were calculated using random-effects models. The primary endpoint was CIN, and the secondary endpoints were major adverse clinical events (MACEs) and the need for renal replacement therapy. RESULTS Data from 3 trials including 586 patients were analyzed. High-volume forced diuresis with matched hydration using the RenalGuard system decreased risk of CIN by 60% (risk ratio: 0.40, 95% confidence interval: 0.25 to 0.65, P < 0.001), MACE rate by 59%, and the need for renal replacement therapy by 78%, compared with the standard of care. CONCLUSIONS In patients with CKD undergoing coronary angiography, high-volume forced diuresis with matched hydration using the RenalGuard system significantly reduces the risk of CIN, MACE rate, and the need for renal replacement therapy. Larger RCTs with sufficient power are needed to confirm these findings.
Collapse
Affiliation(s)
- Rahman Shah
- Department of Medicine, Division of Cardiology, University of Tennessee, Memphis
| | - Sarah J Wood
- Department of Medicine, Division of Cardiology, University of Tennessee, Memphis
| | - Sajjad A Khan
- Department of Medicine, Aga Khan University Medical School, Karachi, Pakistan
| | - Amina Chaudhry
- Department of Medicine, Division of Cardiology, University of Tennessee, Memphis
| | - M Rehan Khan
- Department of Radiology, Veterans Affairs Medical Center, Richmond, Virginia
| | - Mohamed S Morsy
- Department of Medicine, Division of Cardiology, University of Tennessee, Memphis
| |
Collapse
|
5
|
McConkey H, Arri SS, Joseph JP, Prendergast BD, Redwood S. Adjuncts to transcatheter aortic valve implantation. Expert Rev Cardiovasc Ther 2017; 15:357-365. [PMID: 28271724 DOI: 10.1080/14779072.2017.1297230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION The appreciable rise in percutaneous valve procedures has been pursued by a wave of development in advanced technology to help guide straightforward, streamlined and safe intervention. This review article aims to highlight the adjunctive devices, tools and techniques currently used in transcatheter aortic valve implantation procedures to avoid potential pitfalls. Areas covered: The software and devices featured here are at the forefront of technological advances, most of which are not yet in widespread use. These products have been discussed in national and international structural intervention conferences and the authors felt it important to showcase particularly well designed adjuncts that improve procedural efficacy and safety. Whilst vascular pre-closure systems are used routinely and are an integral part of these complex cardiovascular procedures, these have been well summarised elsewhere and are beyond the scope of this article. Expert commentary: The rising volume of patients with aortic stenosis who are treatable with TAVI means that this exponential increase in procedures must be accompanied by a steady decline in procedural complications. This section provides an overview of our current perspective, and what we feel the direction of travel will be.
Collapse
Affiliation(s)
- Hzr McConkey
- a Cardiovascular Division , King's College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas' Hospital Campus , London , UK
| | - S S Arri
- a Cardiovascular Division , King's College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas' Hospital Campus , London , UK
| | - J P Joseph
- a Cardiovascular Division , King's College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas' Hospital Campus , London , UK
| | - B D Prendergast
- a Cardiovascular Division , King's College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas' Hospital Campus , London , UK
| | - S Redwood
- a Cardiovascular Division , King's College London British Heart Foundation Centre of Excellence, The Rayne Institute, St. Thomas' Hospital Campus , London , UK
| |
Collapse
|
6
|
Cheungpasitporn W, Thongprayoon C, Kashani K. Transcatheter Aortic Valve Replacement: a Kidney's Perspective. J Renal Inj Prev 2016; 5:1-7. [PMID: 27069960 PMCID: PMC4827378 DOI: 10.15171/jrip.2016.01] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2015] [Accepted: 01/05/2016] [Indexed: 12/24/2022] Open
Abstract
Transcatheter aortic valve replacement (TAVR) has now emerged as a viable treatment option for high-risk patients with severe aortic stenosis (AS) who are not suitable candidates for surgical aortic valve replacement (SAVR). Despite encouraging published outcomes, acute kidney injury (AKI) is common and lowers the survival of patients after TAVR. The pathogenesis of AKI after TAVR is multifactorial including TAVR specific factors such as the use of contrast agents, hypotension during rapid pacing, and embolization; preventive measures may include pre-procedural hydration, limitation of contrast dye exposure, and avoidance of intraprocedural hypotension. In recent years, the number of TAVR performed worldwide has been increasing, as well as published data on renal perspectives of TAVR including AKI, chronic kidney disease, end-stage kidney disease, and kidney transplantation. This review aims to present the current literature on the nephrology aspects of TAVR, ultimately to improve the patients' quality of care and outcomes.
Collapse
Affiliation(s)
- Wisit Cheungpasitporn
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Charat Thongprayoon
- Department of Internal Medicine, Bassett Medical Center, Cooperstown, NY, USA
| | - Kianoush Kashani
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|