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Esposito P, Cappadona F, Marengo M, Fiorentino M, Fabbrini P, Quercia AD, Garzotto F, Castellano G, Cantaluppi V, Viazzi F. Recognition patterns of acute kidney injury in hospitalized patients. Clin Kidney J 2024; 17:sfae231. [PMID: 39157067 PMCID: PMC11328729 DOI: 10.1093/ckj/sfae231] [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: 02/09/2024] [Indexed: 08/20/2024] Open
Abstract
Background Acute kidney injury (AKI) during hospitalization is associated with increased complications and mortality. Despite efforts to standardize AKI management, its recognition in clinical practice is limited. Methods To assess and characterize different patterns of AKI diagnosis, we collected clinical data, serum creatinine (sCr) levels, comorbidities and outcomes from adult patients using the Hospital Discharge Form (HDF). AKI diagnosis was based on administrative data and according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria by evaluating sCr variations during hospitalization. Additionally, patients were categorized based on the timing of AKI onset. Results Among 56 820 patients, 42 900 (75.5%) had no AKI, 1893 (3.3%) had AKI diagnosed by sCr changes and coded in the HDF (full-AKI), 2529 (4.4%) had AKI reported on the HDF but not meeting sCr-based criteria (HDF-AKI) and 9498 (16.7%) had undetected AKI diagnosed by sCr changes but not coded in the HDF (KDIGO-AKI). Overall, AKI incidence was 24.5%, with a 68% undetection rate. Patients with KDIGO-AKI were younger and had a higher proportion of females, lower comorbidity burden, milder AKI stages, more frequent admissions to surgical wards and lower mortality compared with full-AKI patients. All AKI groups had worse outcomes than those without AKI, and AKI, even if undetected, was independently associated with mortality risk. Patients with AKI at admission had different profiles and better outcomes than those developing AKI later. Conclusions AKI recognition in hospitalized patients is highly heterogeneous, with a significant prevalence of undetection. This variability may be affected by patients' characteristics, AKI-related factors, diagnostic approaches and in-hospital patient management. AKI remains a major risk factor, emphasizing the importance of ensuring proper diagnosis for all patients.
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Affiliation(s)
- Pasquale Esposito
- Department of Internal Medicine, University of Genova, Genova, Italy
- Division of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Francesca Cappadona
- Department of Internal Medicine, University of Genova, Genova, Italy
- Division of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Marita Marengo
- Nephrology and Dialysis Unit, Department of Specialist Medicine, Azienda Sanitaria Locale CN1, Cuneo, Italy
| | - Marco Fiorentino
- Department of Precision and Regenerative Medicine and Ionian Area, Nephrology Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy
| | - Paolo Fabbrini
- Nephrology and Dialysis Unit, ASST Nord Milano, Milan, Italy
| | | | - Francesco Garzotto
- Department of Cardiac Thoracic Vascular Sciences and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padua, Padua, Italy
| | - Giuseppe Castellano
- Department of Nephrology, Dialysis and Renal Transplantation, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Vincenzo Cantaluppi
- Nephrology and Kidney Transplantation Unit, Department of Translational Medicine, SCDU Nefrologia e Trapianto Renale, University of Piemonte Orientale, Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Francesca Viazzi
- Department of Internal Medicine, University of Genova, Genova, Italy
- Division of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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Sawhney S, Ball W, Bell S, Black C, Christiansen CF, Heide-Jørgensen U, Jensen SK, Lambourg E, Ronksley PE, Tan Z, Tonelli M, James MT. Recovery of kidney function after acute kidney disease-a multi-cohort analysis. Nephrol Dial Transplant 2024; 39:426-435. [PMID: 37573145 PMCID: PMC10899778 DOI: 10.1093/ndt/gfad180] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND There are no consensus definitions for evaluating kidney function recovery after acute kidney injury (AKI) and acute kidney disease (AKD), nor is it clear how recovery varies across populations and clinical subsets. We present a federated analysis of four population-based cohorts from Canada, Denmark and Scotland, 2011-18. METHODS We identified incident AKD defined by serum creatinine changes within 48 h, 7 days and 90 days based on KDIGO AKI and AKD criteria. Separately, we applied changes up to 365 days to address widely used e-alert implementations that extend beyond the KDIGO AKI and AKD timeframes. Kidney recovery was based on resolution of AKD and a subsequent creatinine measurement below 1.2× baseline. We evaluated transitions between non-recovery, recovery and death up to 1 year; within age, sex and comorbidity subgroups; between subset AKD definitions; and across cohorts. RESULTS There were 464 868 incident cases, median age 67-75 years. At 1 year, results were consistent across cohorts, with pooled mortalities for creatinine changes within 48 h, 7 days, 90 days and 365 days (and 95% confidence interval) of 40% (34%-45%), 40% (34%-46%), 37% (31%-42%) and 22% (16%-29%) respectively, and non-recovery of kidney function of 19% (15%-23%), 30% (24%-35%), 25% (21%-29%) and 37% (30%-43%), respectively. Recovery by 14 and 90 days was frequently not sustained at 1 year. Older males and those with heart failure or cancer were more likely to die than to experience sustained non-recovery, whereas the converse was true for younger females and those with diabetes. CONCLUSION Consistently across multiple cohorts, based on 1-year mortality and non-recovery, KDIGO AKD (up to 90 days) is at least prognostically similar to KDIGO AKI (7 days), and covers more people. Outcomes associated with AKD vary by age, sex and comorbidities such that older males are more likely to die, and younger females are less likely to recover.
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Affiliation(s)
- Simon Sawhney
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
- Department of Renal Medicine, NHS Grampian, Aberdeen, UK
| | - William Ball
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Samira Bell
- Division of Population Health and Genomics, University of Dundee, Dundee, UK
| | - Corri Black
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
- Department of Renal Medicine, NHS Grampian, Aberdeen, UK
| | - Christian F Christiansen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Uffe Heide-Jørgensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Simon K Jensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Emilie Lambourg
- Division of Population Health and Genomics, University of Dundee, Dundee, UK
| | - Paul E Ronksley
- Department of Community Health Sciences, O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zhi Tan
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marcello Tonelli
- Department of Community Health Sciences, O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Matthew T James
- Department of Community Health Sciences, O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Roy R, MacDonald J, Dark P, Kalra PA, Green D. The estimation of glomerular filtration in acute and critical illness: Challenges and opportunities. Clin Biochem 2023; 118:110608. [PMID: 37479107 DOI: 10.1016/j.clinbiochem.2023.110608] [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] [Received: 02/20/2023] [Revised: 06/30/2023] [Accepted: 07/03/2023] [Indexed: 07/23/2023]
Abstract
Recent events have made it apparent that the creatinine based estimating equations for glomerular filtration have their flaws. Some flaws have been known for some time; others have prompted radical modification of the equations themselves. These issues persist in part owing to the behaviour of the creatinine molecule itself, particularly in acute and critical illness. There are significant implications for patient treatment decisions, including drug and fluid therapies and choice of imaging modality (contrast vs. non-contrast CT scan for example). An alternative biomarker, Cystatin C, has been used with some success both alone and in combination with creatinine to help improve the accuracy of particular estimating equations. Problems remain in certain circumstances and costs may limit the more widespread use of the alternative assay. This review will explore both the historical and more recent evidence for glomerular filtration estimation, including options to directly measure glomerular filtration (rather than estimate), perhaps the holy grail for both Biochemistry and Nephrology.
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Affiliation(s)
- Reuben Roy
- The University of Manchester, Manchester, Greater Manchester, United Kingdom.
| | - John MacDonald
- Northern Care Alliance NHS Foundation Trust Salford Care Organisation, Salford, Greater Manchester M6 8HD, United Kingdom
| | - Paul Dark
- The University of Manchester, Manchester, Greater Manchester, United Kingdom
| | - Philip A Kalra
- Northern Care Alliance NHS Foundation Trust Salford Care Organisation, Salford, Greater Manchester M6 8HD, United Kingdom
| | - Darren Green
- Northern Care Alliance NHS Foundation Trust Salford Care Organisation, Salford, Greater Manchester M6 8HD, United Kingdom
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