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Gudsoorkar PS, Nysather J, Thakar CV. Definition, Staging, and Role of Biomarkers in Acute Kidney Injury in the Context of Cardiovascular Interventions. Interv Cardiol Clin 2023; 12:469-487. [PMID: 37673492 DOI: 10.1016/j.iccl.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Acute kidney injury (AKI) is a frequently occurring complication of cardiovascular interventions, and associated with adverse outcomes. Therefore, a clear definition of AKI is of paramount importance to enable timely recognition and treatment. Historically, changes in the serum creatinine and urine output have been used to define AKI, and the criteria have evolved over time with better understanding of the impact of AKI on the outcomes. However, the reliance on serum creatinine for these AKI definitions carries numerous limitations including delayed rise, inability to differentiate between hemodynamics versus structural injury and assay variability to name a few.
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Affiliation(s)
- Prakash S Gudsoorkar
- Division of Nephrology and Kidney CARE Program, Department of Medicine, University of Cincinnati, OH, USA; Division of Nephrology and Kidney Clinical Advancement, Research & Education (C.A.R.E.) Program, University of Cincinnati, 231 Albert Sabin Way, OH 45267, USA.
| | - Jacob Nysather
- Division of Nephrology and Kidney CARE Program, Department of Medicine, University of Cincinnati, OH, USA; Division of Nephrology and Kidney Clinical Advancement, Research & Education (C.A.R.E.) Program, University of Cincinnati, 231 Albert Sabin Way, OH 45267, USA
| | - Charuhas V Thakar
- Division of Nephrology and Kidney CARE Program, Department of Medicine, University of Cincinnati, OH, USA; Division of Nephrology and Kidney Clinical Advancement, Research & Education (C.A.R.E.) Program, University of Cincinnati, 231 Albert Sabin Way, OH 45267, USA; Department of Nephrology, Veterans Administration Medical Center, Cincinnati, OH, USA
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Stevens D, Lane DA, Harrison SL, Lip GYH, Kolamunnage-Dona R. Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review. BMC Med Res Methodol 2021; 21:283. [PMID: 34922465 PMCID: PMC8684210 DOI: 10.1186/s12874-021-01472-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE The identification of methodology for modelling cardiovascular disease (CVD) risk using longitudinal data and risk factor trajectories. METHODS We screened MEDLINE-Ovid from inception until 3 June 2020. MeSH and text search terms covered three areas: data type, modelling type and disease area including search terms such as "longitudinal", "trajector*" and "cardiovasc*" respectively. Studies were filtered to meet the following inclusion criteria: longitudinal individual patient data in adult patients with ≥3 time-points and a CVD or mortality outcome. Studies were screened and analyzed by one author. Any queries were discussed with the other authors. Comparisons were made between the methods identified looking at assumptions, flexibility and software availability. RESULTS From the initial 2601 studies returned by the searches 80 studies were included. Four statistical approaches were identified for modelling the longitudinal data: 3 (4%) studies compared time points with simple statistical tests, 40 (50%) used single-stage approaches, such as including single time points or summary measures in survival models, 29 (36%) used two-stage approaches including an estimated longitudinal parameter in survival models, and 8 (10%) used joint models which modelled the longitudinal and survival data together. The proportion of CVD risk prediction models created using longitudinal data using two-stage and joint models increased over time. CONCLUSIONS Single stage models are still heavily utilized by many CVD risk prediction studies for modelling longitudinal data. Future studies should fully utilize available longitudinal data when analyzing CVD risk by employing two-stage and joint approaches which can often better utilize the available data.
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Affiliation(s)
- David Stevens
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, L7 8TX, UK.,Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Deirdre A Lane
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, L7 8TX, UK. .,Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK. .,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Stephanie L Harrison
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, L7 8TX, UK.,Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, L7 8TX, UK.,Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Ruwanthi Kolamunnage-Dona
- Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK
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Yoshihara F, Hosoda H, Doi T, Yoshida M, Kitamura K, Yamamoto H, Asaumi Y, Ishibashi-Ueda H, Kishida M, Arisato T, Matsuo M, Miyazato M, Yasuda S. Combined evaluation of plasma B-type natriuretic peptide and urinary liver-type fatty acid-binding protein/creatinine ratio is related to worsening renal function in patients undergoing elective percutaneous coronary intervention. Clin Exp Nephrol 2021; 25:1319-1328. [PMID: 34255252 DOI: 10.1007/s10157-021-02113-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 07/09/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND There are few reports on the significance for the combined evaluation of blood humoral factors and urinary biomarkers in terms of worsening renal function (WRF) after coronary angiography (CAG)/percutaneous coronary arterial intervention (PCI). METHOD AND RESULTS Urinary liver type-fatty acid-binding protein (L-FABP), neutrophil gelatinase associated lipocalin (NGAL), and adrenomedullin (AM) were measured less than 24 h before and 3 h, 6 h, 1 day, and 2 days after CAG/PCI. WRF was defined as a > 20% decrease in the estimated GFR. WRF occurred in seven of 100 patients and the increase in L-FABP/creatinine (Cr) at 1 day after CAG/PCI was significantly higher in the WRF group than in the non-WRF group. Plasma B-type natriuretic peptide (BNP) before CAG/PCI and L-FABP/Cr at 1 day after CAG/PCI were independent predictors for WRF. The areas under the receiver-operating characteristic curves were as follows: 0.760 for BNP before CAG/PCI, 0.731 for L-FABP/Cr at 1 day after CAG/PCI, and 0.892 for BNP and L-FABP/Cr. Urinary AM levels after PCI/CAG were negatively correlated only to serum potassium levels. Gene expressions of AM and AM-receptor were detectable in renal tubule epithelial cells. AM increased intracellular second messenger levels in a dose-dependent manner. CONCLUSIONS Our results suggest that combined evaluation of plasma BNP and urinary L-FABP/Cr is useful as a predictor of renal dysfunction in CAG/PCI patients.
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Affiliation(s)
- Fumiki Yoshihara
- Division of Nephrology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
| | - Hiroshi Hosoda
- Department of Regenerative Medicine and Tissue Engineering, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Takahito Doi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Morikatsu Yoshida
- Department of Biochemistry, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmmachi, Suita, Osaka, 564-8565, Japan
| | - Kazuo Kitamura
- Circulatory and Body Fluid Regulation, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki, 889-1692, Japan
| | - Haruko Yamamoto
- Center for Advancing Clinical and Translational Sciences, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Hatsue Ishibashi-Ueda
- Department of Pathology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Masatsugu Kishida
- Division of Nephrology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Tetsuya Arisato
- Division of Nephrology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Miki Matsuo
- Division of Nephrology, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Mikiya Miyazato
- Department of Biochemistry, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmmachi, Suita, Osaka, 564-8565, Japan
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
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Sato E, Kamijo-Ikemori A, Oikawa T, Okuda A, Sugaya T, Kimura K, Nakamura T, Shibagaki Y. Urinary excretion of liver-type fatty acid-binding protein reflects the severity of sepsis. RENAL REPLACEMENT THERAPY 2017. [DOI: 10.1186/s41100-017-0107-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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