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Pan HC, Chen JY, Chen HY, Yeh FY, Sun CY, Huang TTM, Wu VC. GLP-1 receptor agonists' impact on cardio-renal outcomes and mortality in T2D with acute kidney disease. Nat Commun 2024; 15:5912. [PMID: 39003287 PMCID: PMC11246471 DOI: 10.1038/s41467-024-50199-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 07/03/2024] [Indexed: 07/15/2024] Open
Abstract
Previous studies have explored the effects of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in reducing cardiovascular events in type 2 diabetes. Here we show that GLP-1 RAs are associated with lower risks of mortality, major cardiovascular events (MACEs), and major adverse kidney events (MAKEs) in type 2 diabetes patients with acute kidney disease (AKD). Utilizing global data from the TriNetX database (2002/09/01-2022/12/01) and propensity score matching, we compare 7511 GLP-1 RAs users to non-users among 165,860 AKD patients. The most common causes of AKI are sepsis (55.2%) and cardiorenal syndrome (34.2%). After a median follow-up of 2.3 years, GLP-1 RAs users exhibit reduced risks of mortality (adjusted hazard ratio [aHR]: 0.57), MACEs (aHR: 0.88), and MAKEs (aHR: 0.73). External validation in a multicenter dataset of 1245 type 2 diabetes patients with AKD supports the favorable outcomes. These results emphasize the potential of GLP-1 RAs in individualized treatment for this population.
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Affiliation(s)
- Heng-Chih Pan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Chang Gung University College of Medicine, Taoyuan, Taiwan
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
- Community Medicine Research Center, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
- Kidney Research Center and Department of Nephrology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Jui-Yi Chen
- Division of Nephrology, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
- Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Hsing-Yu Chen
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Fang-Yu Yeh
- Division of Nephrology, Primary Aldosteronism Center of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chiao-Yin Sun
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
- Kidney Research Center and Department of Nephrology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Thomas Tao-Min Huang
- Division of Nephrology, Primary Aldosteronism Center of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- NSARF (National Taiwan University Hospital Study Group of ARF), and CAKS (Taiwan Consortium for Acute Kidney Injury and Renal Diseases), Taipei, Taiwan
| | - Vin-Cent Wu
- Division of Nephrology, Primary Aldosteronism Center of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
- NSARF (National Taiwan University Hospital Study Group of ARF), and CAKS (Taiwan Consortium for Acute Kidney Injury and Renal Diseases), Taipei, Taiwan.
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Pan SY, Huang TTM, Jiang ZH, Lin LC, Tsai IJ, Wu TL, Hsu CY, Wang T, Chen HC, Lin YF, Wu VC. Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach. Kidney Res Clin Pract 2024; 43:406-416. [PMID: 38934037 PMCID: PMC11237330 DOI: 10.23876/j.krcp.23.289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/08/2024] [Accepted: 02/27/2024] [Indexed: 06/28/2024] Open
Abstract
Acute kidney disease (AKD) is a critical transitional period between acute kidney injury and chronic kidney disease. The incidence of AKD following acute kidney injury is approximately 33.6%, and it can occur without identifiable preceding acute kidney injury. The development of AKD is associated with increased risks of chronic kidney disease, dialysis, and mortality. Biomarkers and subphenotypes are promising tools to predict prognosis in AKD. The complex clinical situations in patients with AKD necessitate a comprehensive and structured approach, termed "KAMPS" (kidney function check, advocacy, medications, pressure, sick day protocols). We introduce "MAND-MASS," an acronym devised to summarize the reconciliation of medications during episodes of acute illness, as a critical component of the sick day protocols at AKD. A multidisciplinary team care, consisting of nephrologists, pharmacists, dietitians, health educators, and nurses, is an optimal model to achieve the care bundle in KAMPS. Although the evidence for patients with AKD is still lacking, several potential pharmacological agents may improve outcomes, including but not limited to angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, mineralocorticoid receptor antagonists, sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists. In conclusion, accurate prognosis prediction and effective treatment for AKD are critical yet unmet clinical needs. Future studies are urgently needed to improve patient care in this complex and rapidly evolving field.
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Affiliation(s)
- Szu-Yu Pan
- Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Thomas Tao-Min Huang
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- NSARF (National Taiwan University Hospital Study Group on Acute Renal Failure), Taipei, Taiwan
| | - Zheng-Hong Jiang
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Li-Chun Lin
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Jung Tsai
- Division of Nephrology, Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Tsung-Lin Wu
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Yi Hsu
- Department of Dietetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Ting Wang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Hui-Chuen Chen
- Department of Dietetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Yu-Feng Lin
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- NSARF (National Taiwan University Hospital Study Group on Acute Renal Failure), Taipei, Taiwan
| | - Vin-Cent Wu
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- NSARF (National Taiwan University Hospital Study Group on Acute Renal Failure), Taipei, Taiwan
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Maeda A, Inokuchi R, Bellomo R, Doi K. Heterogeneity in the definition of major adverse kidney events: a scoping review. Intensive Care Med 2024; 50:1049-1063. [PMID: 38801518 PMCID: PMC11245451 DOI: 10.1007/s00134-024-07480-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/03/2024] [Indexed: 05/29/2024]
Abstract
Acute kidney injury (AKI) is associated with persistent renal dysfunction, the receipt of dialysis, dialysis dependence, and mortality. Accordingly, the concept of major adverse kidney events (MAKE) has been adopted as an endpoint for assessing the impact of AKI. However, applied criteria or observation periods for operationalizing MAKE appear to vary across studies. To evaluate this heterogeneity for MAKE evaluation, we performed a systematic scoping review of studies that employed MAKE as an AKI endpoint. Four major academic databases were searched, and we identified 122 studies with increasing numbers over time. We found marked heterogeneity in applied criteria and observation periods for MAKE across these studies, with some even lacking a description of criteria. Moreover, 13 different observation periods were employed, with 30 days and 90 days as the most common. Persistent renal dysfunction was evaluated by estimated glomerular filtration rate (34%) or serum creatinine concentration (48%); however, 37 different definitions for this component were employed in terms of parameters, cut-off criteria, and assessment periods. The definition for the dialysis component also showed significant heterogeneity regarding assessment periods and duration of dialysis requirement (chronic vs temporary). Finally, MAKE rates could vary by 7% [interquartile range: 1.7-16.7%] with different observation periods or by 36.4% with different dialysis component definitions. Our findings revealed marked heterogeneity in MAKE definitions, particularly regarding component assessment and observation periods. Dedicated discussion is needed to establish uniform and acceptable standards to operationalize MAKE in terms of selection and applied criteria of components, observation period, and reporting criteria for future trials on AKI and related conditions.
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Affiliation(s)
- Akinori Maeda
- Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Ryota Inokuchi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Clinical Engineering, The University of Tokyo Hospital, Tokyo, Japan
| | - Rinaldo Bellomo
- Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia
- Data Analytics Research and Evaluation Centre, The University of Melbourne and Austin Hospital, Melbourne, VIC, Australia
- Department of Critical Care, The University of Melbourne, Melbourne, VIC, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australia
- Department of Intensive Care, The Royal Melbourne Hospital, Melbourne, Australia
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
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Solomon RA, Hummel SL. It's Not You, It's Me: Uncovering Heart-Kidney Relationship Failures. Circ Heart Fail 2024; 17:e011694. [PMID: 38742400 DOI: 10.1161/circheartfailure.124.011694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Affiliation(s)
- Robert A Solomon
- Department of Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (R.A.S., S.L.H.)
- Department of Medicine, Section of Cardiology, VA Ann Arbor Medical System, MI (R.A.S., S.L.H.)
| | - Scott L Hummel
- Department of Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI (R.A.S., S.L.H.)
- Department of Medicine, Section of Cardiology, VA Ann Arbor Medical System, MI (R.A.S., S.L.H.)
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Hu L, Bai Y, Lai C, Mo L, Li Y, Jiang X, Xu W, He Y, Zhou X, Chen C. Plasma indole-3-aldehyde as a novel biomarker of acute kidney injury after cardiac surgery: a reanalysis using prospective metabolomic data. BMC Anesthesiol 2023; 23:364. [PMID: 37936070 PMCID: PMC10629179 DOI: 10.1186/s12871-023-02330-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 10/30/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) is a frequent complication of cardiac surgery that poses significant risks for both the development of chronic kidney diseases and mortality. Our previous study illustrated that heightened expression levels of faecal and plasma indole metabolites before the operation were associated with ischemic AKI. In this study, we aimed to validate the supposition that plasma indole-3-aldehyde (I3A) could serve as a predictive biomarker for AKI in patients undergoing cardiac surgery. METHODS This statistical reanalysis utilized AKI metabolomic data from patients scheduled for cardiac surgery between April 2022 and July 2022 in two tertiary hospitals. Faecal and blood samples were prospectively collected before surgery within 24 h, and variables related to the preoperative, intraoperative, and postoperative periods were recorded. AKI diagnosis was based on the Kidney Disease Improving Global Outcomes criteria. RESULTS In this study, 55 patients who underwent cardiac surgery were analyzed, and 27 of them (49.1%) developed postoperative AKI. Before surgery, these patients had significantly higher levels of faecal indole metabolites, including skatole, trans-3-indoleacrylic acid, and 5-methoxyindoleacetic acid. The plasma I3A, clinical model that considered perioperative and intraoperative variables, and their combination had area under the receiver operating characteristic curve (ROC) values of 0.79 (95% CI 0.67-0.91), 0.78 (95% CI 0.66-0.90), and 0.84 (95% CI 0.74-0.94) for predicting AKI, respectively. Furthermore, by utilizing net reclassification improvement and integrated discrimination improvement, plasma I3A showed significant improvements in risk reclassification compared to the clinical model alone. CONCLUSIONS The dysregulation of gut microbiota metabolism in patients scheduled for cardiac surgery can result in an increase in indoles from tryptophan metabolism, which may be associated with postoperative acute kidney injury (AKI). This suggests that indoles may serve as a predictive biomarker for AKI in patients undergoing cardiac surgery.
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Affiliation(s)
- Linhui Hu
- Department of Critical Care Medicine, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
- Center of Scientific Research, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Yunpeng Bai
- Center of Scientific Research, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Changchun Lai
- Department of Clinical Laboratory, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Leitong Mo
- Department of Coronary Care Unit, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Ying Li
- Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Xinyi Jiang
- Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
- School of Medicine, South China University of Technology, No. 382 Waihuan East Road, Guangzhou, 510006, Guangdong Province, China
| | - Wang Xu
- Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
- The Second School of Clinical Medicine, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong Province, China
| | - Yuemei He
- Center of Scientific Research, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Xinjuan Zhou
- Center of Scientific Research, Maoming People's Hospital, No. 101 Weimin Road, Maoming, 525000, Guangdong Province, China
| | - Chunbo Chen
- Department of Critical Care Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
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Kim JY. Imaging Marker for Acute Kidney Dysfunction in Patients With Heart Failure. J Cardiovasc Imaging 2023; 31:178-179. [PMID: 37901995 PMCID: PMC10622637 DOI: 10.4250/jcvi.2023.0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/11/2023] [Accepted: 07/14/2023] [Indexed: 10/31/2023] Open
Affiliation(s)
- Jin Young Kim
- Department of Radiology, Dongsan Hospital, Keimyung University College of Medicine, Daegu, Korea.
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Yang Z, Gong H, Kan F, Ji N. Association between the triglyceride glucose (TyG) index and the risk of acute kidney injury in critically ill patients with heart failure: analysis of the MIMIC-IV database. Cardiovasc Diabetol 2023; 22:232. [PMID: 37653418 PMCID: PMC10472684 DOI: 10.1186/s12933-023-01971-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 08/19/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) can be effectively assessed using the dependable surrogate biomarker triglyceride-glucose (TyG) index. In various critical care contexts, like contrast-induced acute kidney injury (AKI), an elevated TyG index has demonstrated a robust correlation with the incidence of AKI. Nonetheless, the potential of the TyG index to predict AKI in critically ill patients with heart failure (HF) remains uncertain. METHODS A cohort of participants was non-consecutively selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and divided into quartiles based on their TyG index values. The incidence of AKI was the primary outcome. The secondary endpoint was in-hospital mortality within both the whole study population and the subset of AKI patients. The use of the renal replacement therapy (RRT) which represented the progression of AKI severity was also included as a secondary endpoint representing renal outcome. A restricted cubic splines model and Cox proportional hazards models were utilized to evaluate the association of TyG index with the risk of AKI in patients with HF in a critical condition. Kaplan-Meier survival analysis was employed to estimate primary and secondary endpoint disparities across groups differentiated by their TyG index. RESULTS This study included a total of 1,393 patients, with 59% being male. The incidence of AKI was 82.8%. Cox proportional hazards analyses revealed a significant association between TyG index and the incidence of AKI in critically ill patients with HF. The restricted cubic splines model illustrated the linear relationship between higher TyG index and increased risk of AKI in this specific patient population. Furthermore, the Kaplan-Meier survival analyses unveiled statistically significant differences in the use of RRT across the subset of AKI patients based on the quartiles of the TyG index. CONCLUSIONS The results highlight the TyG index as a robust and independent predictor of the incidence of AKI and poor renal outcome in patients with HF in a critical condition. However, further confirmation of causality necessitates larger prospective studies.
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Affiliation(s)
- Zewen Yang
- Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, 322000, Zhejiang, China
| | - Hongxia Gong
- Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, 322000, Zhejiang, China
| | - Fuqiang Kan
- Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, 322000, Zhejiang, China
| | - Ningning Ji
- Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, 322000, Zhejiang, China.
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Sohal S, Uppal D, Mathai SV, Wats K, Uppal NN. Acute Cardiorenal Syndrome: An Update. Cardiol Rev 2023; Publish Ahead of Print:00045415-990000000-00074. [PMID: 36883827 DOI: 10.1097/crd.0000000000000532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
The complex dynamic pathophysiological interplay between the heart and kidney causes a vicious cycle of worsening renal and/or cardiovascular function. Acute decompensated heart failure causing worsening renal function defines Type 1 cardiorenal syndrome (CRS). Altered hemodynamics coupled with a multitude of nonhemodynamic factors namely pathological activation of the renin angiotensin aldosterone system and systemic inflammatory pathways mechanistically incite CRS type 1. A multipronged diagnostic approach utilizing laboratory markers, noninvasive and/or invasive modalities must be implemented to enable timely initiation of effective treatment strategies. In this review, we discuss the pathophysiology, diagnosis, and emerging treatment options for CRS type 1.
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Affiliation(s)
- Sumit Sohal
- From the Division of Cardiovascular Diseases, Department of Medicine, RWJ-BH Newark Beth Israel Medical Center, Newark, NJ
| | - Dipan Uppal
- Department of Cardiovascular Diseases, Cleveland Clinic Florida, Weston, FL
| | | | - Karan Wats
- Division of Cardiovascular Diseases, Department of Medicine, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY
| | - Nupur N Uppal
- Division of Kidney Diseases and Hypertension, Department of Medicine, Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY
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Pan HC, Chen HY, Chen HM, Huang YT, Fang JT, Chen YC. Risk factors and 180-day mortality of acute kidney disease in critically ill patients: A multi-institutional study. Front Med (Lausanne) 2023; 10:1153670. [PMID: 37138740 PMCID: PMC10149804 DOI: 10.3389/fmed.2023.1153670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/28/2023] [Indexed: 05/05/2023] Open
Abstract
Background Critically ill patients with acute kidney injury (AKI) have a poor prognosis. Recently, the Acute Disease Quality Initiative (ADQI) proposed to define acute kidney disease (AKD) as acute or subacute damage and/or loss of kidney function post AKI. We aimed to identify the risk factors for the occurrence of AKD and to determine the predictive value of AKD for 180-day mortality in critically ill patients. Methods We evaluated 11,045 AKI survivors and 5,178 AKD patients without AKI, who were admitted to the intensive care unit between 1 January 2001 and 31 May 2018, from the Chang Gung Research Database in Taiwan. The primary and secondary outcomes were the occurrence of AKD and 180-day mortality. Results The incidence rate of AKD among AKI patients who did not receive dialysis or died within 90 days was 34.4% (3,797 of 11,045 patients). Multivariable logistic regression analysis indicated that AKI severity, underlying early CKD, chronic liver disease, malignancy, and use of emergency hemodialysis were independent risk factors of AKD, while male gender, higher lactate levels, use of ECMO, and admission to surgical ICU were negatively correlated with AKD. 180-day mortality was highest among AKD patients without AKI during hospitalization (4.4%, 227 of 5,178 patients), followed by AKI with AKD (2.3%, 88 of 3,797 patients) and AKI without AKD (1.6%, 115 of 7,133 patients). AKI with AKD had a borderline significantly increased risk of 180-day mortality (aOR 1.34, 95% CI 1.00-1.78; p = 0.047), while patients with AKD but no preceding AKI episodes had the highest risk (aOR 2.25, 95% CI 1.71-2.97; p < 0.001). Conclusion The occurrence of AKD adds limited additional prognostic information for risk stratification of survivors among critically ill patients with AKI but could predict prognosis in survivors without prior AKI.
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Affiliation(s)
- Heng-Chi Pan
- Chang Gung University College of Medicine, Taoyuan, Taiwan
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Hsing-Yu Chen
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hui-Ming Chen
- Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Yu-Tung Huang
- Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Ji-Tseng Fang
- Chang Gung University College of Medicine, Taoyuan, Taiwan
- Division of Nephrology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yung-Chang Chen
- Chang Gung University College of Medicine, Taoyuan, Taiwan
- Division of Nephrology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- *Correspondence: Yung-Chang Chen,
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Su CC, Chen JY, Chen SY, Shiao CC, Neyra JA, Matsuura R, Noiri E, See E, Chen YT, Hsu CK, Pan HC, Chang CH, Rosner MH, Wu VC. Outcomes associated with acute kidney disease: A systematic review and meta-analysis. EClinicalMedicine 2023; 55:101760. [PMID: 36531983 PMCID: PMC9755056 DOI: 10.1016/j.eclinm.2022.101760] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Acute kidney disease (AKD) defines the period after kidney damage and it is a critical period of both repair and fibrotic pathways. However, the outcomes of patients with AKD have not been well-defined. METHODS In this meta-analysis, PubMed, Embase, Cochrane and China National Knowledge Infrastructure were searched on July 31,2022. We excluded studies including patients undergoing kidney replacement therapy at enrollment. The data was used to conduct a random-effects model for pool outcomes between patients with AKD and non-AKD (NKD). This study is registered with PROSPERO, CRD 42021271773. FINDINGS The search generated 739 studies of which 21 studies were included involving 1,114,012 patients. The incidence rate of community-acquired AKD was 4.60%, 2.11% in hospital-acquired AKD without a prior AKI episode, and 26.11% in hospital-acquired AKD with a prior AKI episode. The all-cause mortality rate was higher in the AKD group (26.54%) than in the NKD group (7.78%) (odds ratio [OR]: 3.62, 95% confidence interval [CI]: 2.64 to 4.95, p < 0.001, I2 = 99.11%). The rate of progression to end-stage kidney disease (ESKD) was higher in the AKD group (1.3%) than in the NKD group (0.14%) (OR: 6.58, p < 0.001, I2 = 94.95%). The incident rate of CKD and progressive CKD was higher in the AKD group (37.2%) than in the NKD group (7.45%) (OR:4.22, p < 0.001, I2 = 96.67%). Compared to the NKD group, patients with AKD without prior AKI had a higher mortality rate (OR: 3.00, p < 0.001, I2 = 99.31%) and new-onset ESKD (OR:4.96, 95% CI, p = 0.002, I2 = 97.37%). INTERPRETATION AKD is common in community and hospitalized patients who suffer from AKI and also occurs in patients without prior AKI. The patients with AKD, also in those without prior AKI had a higher risk of mortality, and new-onset ESKD than the NKD group. FUNDING This study was supported by Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) [grant number, MOST 107-2314-B-002-026-MY3, 108-2314-B-002-058, 110-2314-B-002-241, 110-2314-B-002-239], National Science and Technology Council (NSTC) [grant number, NSTC 109-2314-B-002-174-MY3, 110-2314-B-002-124-MY3, 111-2314-B-002-046, 111-2314-B-002-058], National Health Research Institutes [PH-102-SP-09], National Taiwan University Hospital [109-S4634, PC-1246, PC-1309, VN109-09, UN109-041, UN110-030, 111-FTN0011] Grant MOHW110-TDU-B-212-124005, Mrs. Hsiu-Chin Lee Kidney Research Fund and Chi-mei medical center CMFHR11136. JAN is supported, in part, by grants from the National Institute of Health, NIDDK (R01 DK128208 and P30 DK079337) and NHLBI (R01 HL148448-01).
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Affiliation(s)
- Ching-Chun Su
- Division of Nephrology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Jui-Yi Chen
- Division of Nephrology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Sheng-Yin Chen
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chih-Chung Shiao
- Division of Nephrology, Department of Internal Medicine, Camillian Saint Mary's Hospital Luodong; and Saint Mary's Junior College of Medicine, Nursing and Management, Yilan, Taiwan
| | - Javier A. Neyra
- Department of Internal Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ryo Matsuura
- Department of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Eisei Noiri
- National Center Biobank Network, National Center for Global Health and Medicine, Shinjuku, Japan
| | - Emily See
- Department of Nephrology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Intensive Care, Royal Melbourne Hospital, Melbourne, Australia
| | - Yih-Ting Chen
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Taiwan
| | - Cheng-Kai Hsu
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Taiwan
| | - Heng-Chih Pan
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Taiwan
| | - Chih-Hsiang Chang
- Division of Nephrology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan City, Taiwan
| | - Mitchell H. Rosner
- Department of Medicine, University of Virginia Health System Charlottesville, VA, 22908, USA
| | - Vin-Cent Wu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Corresponding author. National Taiwan University Hospital, 7 Chung-Shan South Road, Zhong-Zheng District Taipei 100, Taiwan.
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Machine Learning Approach to Understand Worsening Renal Function in Acute Heart Failure. Biomolecules 2022; 12:biom12111616. [DOI: 10.3390/biom12111616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Acute heart failure (AHF) is a common and severe condition with a poor prognosis. Its course is often complicated by worsening renal function (WRF), exacerbating the outcome. The population of AHF patients experiencing WRF is heterogenous, and some novel possibilities for its analysis have recently emerged. Clustering is a machine learning (ML) technique that divides the population into distinct subgroups based on the similarity of cases (patients). Given that, we decided to use clustering to find subgroups inside the AHF population that differ in terms of WRF occurrence. We evaluated data from the three hundred and twelve AHF patients hospitalized in our institution who had creatinine assessed four times during hospitalization. Eighty-six variables evaluated at admission were included in the analysis. The k-medoids algorithm was used for clustering, and the quality of the procedure was judged by the Davies–Bouldin index. Three clinically and prognostically different clusters were distinguished. The groups had significantly (p = 0.004) different incidences of WRF. Inside the AHF population, we successfully discovered that three groups varied in renal prognosis. Our results provide novel insight into the AHF and WRF interplay and can be valuable for future trial construction and more tailored treatment.
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12
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Stencel J, Rajapreyar I, Samson R, Le Jemtel T. Comprehensive and Safe Decongestion in Acutely Decompensated Heart Failure. Curr Heart Fail Rep 2022; 19:364-374. [PMID: 36045314 DOI: 10.1007/s11897-022-00573-y] [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] [Accepted: 07/28/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE OF THE REVIEW Progressive intravascular, interstitial, and alveolar fluid overload underlies the transition from compensated to acutely decompensated heart failure and loop diuretics are the mainstay of treatment. Adverse effects and resistance to loop diuretics received much attention while the contribution of a depressed cardiac output to diuretic resistance was downplayed. RECENT FINDINGS Analysis of experience with positive inotropic agents, especially dobutamine, indicates that enhancement of cardiac output is not consistently associated with increased renal blood flow. However, urinary output and renal sodium excretion increase likely due to dobutamine-mediated decrease in renal and systemic reduced activation of sympathetic nervous- and renin-angiotensin-aldosterone system. Mechanical circulatory support with left ventricular assist devices ascertained the contribution of low cardiac output to diuretic resistance and the pathogenesis and progression of kidney disease in acutely decompensated heart failure. Diuretic resistance commonly occurs in acutely decompensated heart failure. However, failure to resolve fluid overload despite high doses of loop diuretics should alert to the presence of a low cardiac output state.
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Affiliation(s)
- Jason Stencel
- Tulane University School of Medicine, New Orleans, LA, USA.
| | | | - Rohan Samson
- Rudd Heart and Lung Center, University of Louisville Health, Louisville, KY, USA
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13
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Wang H, Lambourg E, Guthrie B, Morales DR, Donnan PT, Bell S. Patient outcomes following AKI and AKD: a population-based cohort study. BMC Med 2022; 20:229. [PMID: 35854309 PMCID: PMC9297625 DOI: 10.1186/s12916-022-02428-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/06/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) is common and associated with adverse outcomes as well as important healthcare costs. However, evidence examining the epidemiology of acute kidney disease (AKD)-recently defined as AKI persisting between 7 and 90 days-remains limited. The aims of this study were to establish the rates of early AKI recovery, progression to AKD and non-recovery; examine risk factors associated with non-recovery and investigate the association between recovery timing and adverse outcomes, in a population-based cohort. METHODS All adult residents of Tayside & Fife, Scotland, UK, with at least one episode of community or hospital-managed AKI using KDIGO creatinine-based definition during the period 1 January 2010 to 31 December 2018 were identified. Logistic regression was used to examine factors associated with non-recovery, and Cox modelling was used to establish associations between AKI recovery timing and risks of mortality and development of de novo CKD. RESULTS Over 9 years, 56,906 patients with at least one AKI episode were identified with 18,773 (33%) of these progressing to AKD. Of those progressing to AKD, 5059 (27%) had still not recovered at day 90 post AKI diagnosis. Risk factors for AKD included: increasing AKI severity, pre-existing cancer or chronic heart failure and recent use of loop diuretics. Compared with early AKI recovery, progression to AKD was associated with increased hazard of 1-year mortality and de novo CKD (HR = 1.20, 95% CI 1.13 to 1.26 and HR = 2.21, 95% CI 1.91 to 2.57 respectively). CONCLUSIONS These findings highlight the importance of early AKI recognition and management to avoid progression to AKD and long-term adverse outcomes.
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Affiliation(s)
- Huan Wang
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Emilie Lambourg
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Bruce Guthrie
- Advanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Daniel R Morales
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.,Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Peter T Donnan
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Samira Bell
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK. .,Renal Unit, Ninewells Hospital, Dundee, UK.
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14
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Patel M, Gbadegesin RA. Update on prognosis driven classification of pediatric AKI. Front Pediatr 2022; 10:1039024. [PMID: 36340722 PMCID: PMC9634036 DOI: 10.3389/fped.2022.1039024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/03/2022] [Indexed: 11/29/2022] Open
Abstract
Acute kidney injury (AKI) affects a large proportion of hospitalized children and increases morbidity and mortality in this population. Initially thought to be a self-limiting condition with uniformly good prognosis, we now know that AKI can persist and progress to acute kidney disease (AKD) and chronic kidney disease (CKD). AKI is presently categorized by stage of injury defined by increase in creatinine, decrease in eGFR, or decrease in urine output. These commonly used biomarkers of acute kidney injury do not change until the injury is well established and are unable to detect early stage of the disease when intervention is likely to reverse injury. The kidneys have the ability to compensate and return serum creatinine to a normal or baseline level despite nephron loss in the setting of AKI possibly masking persistent dysfunction. Though these definitions are important, classifying children by their propensity for progression to AKD and CKD and defining these risk strata by other factors besides creatinine may allow for better prognosis driven discussion, expectation setting, and care for our patients. In order to develop a classification strategy, we must first be able to recognize children who are at risk for AKD and CKD based on modifiable and non-modifiable factors as well as early biomarkers that identify their risk of persistent injury. Prevention of initial injury, prompt evaluation and treatment if injury occurs, and mitigating further injury during the recovery period may be important factors in decreasing risk of AKD and CKD after AKI. This review will cover presently used definitions of AKI, AKD, and CKD, recent findings in epidemiology and risk factors for AKI to AKD to CKD progression, novel biomarkers for early identification of AKI and AKI that may progress to CKD and future directions for improving outcome in children with AKI.
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Affiliation(s)
- Mital Patel
- Department of Pediatrics, Division of Pediatric Nephrology, Duke University, Durham, NC, United State
| | - Rasheed A Gbadegesin
- Department of Pediatrics, Division of Pediatric Nephrology, Duke University, Durham, NC, United State
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