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Lancet (London, England) Nov 2022Large trials have shown that sodium glucose co-transporter-2 (SGLT2) inhibitors reduce the risk of adverse kidney and cardiovascular outcomes in patients with heart... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Large trials have shown that sodium glucose co-transporter-2 (SGLT2) inhibitors reduce the risk of adverse kidney and cardiovascular outcomes in patients with heart failure or chronic kidney disease, or with type 2 diabetes and high risk of atherosclerotic cardiovascular disease. None of the trials recruiting patients with and without diabetes were designed to assess outcomes separately in patients without diabetes.
METHODS
We did a systematic review and meta-analysis of SGLT2 inhibitor trials. We searched the MEDLINE and Embase databases for trials published from database inception to Sept 5, 2022. SGLT2 inhibitor trials that were double-blind, placebo-controlled, performed in adults (age ≥18 years), large (≥500 participants per group), and at least 6 months in duration were included. Summary-level data used for analysis were extracted from published reports or provided by trial investigators, and inverse-variance-weighted meta-analyses were conducted to estimate treatment effects. The main efficacy outcomes were kidney disease progression (standardised to a definition of a sustained ≥50% decrease in estimated glomerular filtration rate [eGFR] from randomisation, a sustained low eGFR, end-stage kidney disease, or death from kidney failure), acute kidney injury, and a composite of cardiovascular death or hospitalisation for heart failure. Other outcomes were death from cardiovascular and non-cardiovascular disease considered separately, and the main safety outcomes were ketoacidosis and lower limb amputation. This study is registered with PROSPERO, CRD42022351618.
FINDINGS
We identified 13 trials involving 90 413 participants. After exclusion of four participants with uncertain diabetes status, we analysed 90 409 participants (74 804 [82·7%] participants with diabetes [>99% with type 2 diabetes] and 15 605 [17·3%] without diabetes; trial-level mean baseline eGFR range 37-85 mL/min per 1·73 m). Compared with placebo, allocation to an SGLT2 inhibitor reduced the risk of kidney disease progression by 37% (relative risk [RR] 0·63, 95% CI 0·58-0·69) with similar RRs in patients with and without diabetes. In the four chronic kidney disease trials, RRs were similar irrespective of primary kidney diagnosis. SGLT2 inhibitors reduced the risk of acute kidney injury by 23% (0·77, 0·70-0·84) and the risk of cardiovascular death or hospitalisation for heart failure by 23% (0·77, 0·74-0·81), again with similar effects in those with and without diabetes. SGLT2 inhibitors also reduced the risk of cardiovascular death (0·86, 0·81-0·92) but did not significantly reduce the risk of non-cardiovascular death (0·94, 0·88-1·02). For these mortality outcomes, RRs were similar in patients with and without diabetes. For all outcomes, results were broadly similar irrespective of trial mean baseline eGFR. Based on estimates of absolute effects, the absolute benefits of SGLT2 inhibition outweighed any serious hazards of ketoacidosis or amputation.
INTERPRETATION
In addition to the established cardiovascular benefits of SGLT2 inhibitors, the randomised data support their use for modifying risk of kidney disease progression and acute kidney injury, not only in patients with type 2 diabetes at high cardiovascular risk, but also in patients with chronic kidney disease or heart failure irrespective of diabetes status, primary kidney disease, or kidney function.
FUNDING
UK Medical Research Council and Kidney Research UK.
Topics: Humans; Adult; Adolescent; Sodium-Glucose Transporter 2 Inhibitors; Diabetes Mellitus, Type 2; Sodium-Glucose Transporter 2; Kidney; Acute Kidney Injury; Renal Insufficiency, Chronic; Heart Failure; Ketosis; Disease Progression; Glucose; Sodium; Randomized Controlled Trials as Topic
PubMed: 36351458
DOI: 10.1016/S0140-6736(22)02074-8 -
International Journal of Medical... Jul 2021We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction... (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model.
METHODS
Eligible studies were identified using PubMed and Embase. A total of 24 studies consisting of 84 prediction models met inclusion criteria. Independent samples t-test was performed to detect mean differences in area under the curve (AUC) between ML and LR models. One-way ANOVA and post-hoc t-tests were performed to assess mean differences in AUC between ML methods.
RESULTS
AUC data were similar between ML (0.736 ± 0.116) and LR (0.748 ± 0.057) models (p = 0.538). However, specific ML models, such as gradient boosting (0.838 ± 0.077), exhibited superior performance at predicting AKI as compared to other ML models in the literature (p < 0.05). Creatinine and urine output, standard variables assessed for AKI staging, were classified as significant predictors across multiple ML models, although the majority of significant predictors were unique and study specific.
CONCLUSIONS
These data suggest that ML models perform equally to that of LR, however ML models exhibit variable performance with some ML models displaying exceptional performance. The variability in ML prediction of AKI can be attributed, in part, to the specific ML model utilized, variable selection and processing, study and subject characteristics, and the steps associated with model training, validation, testing, and calibration.
Topics: Acute Kidney Injury; Creatinine; Humans; Logistic Models; Machine Learning
PubMed: 33991886
DOI: 10.1016/j.ijmedinf.2021.104484 -
Kidney International Mar 2012Acute kidney injury may increase the risk for chronic kidney disease and end-stage renal disease. In an attempt to summarize the literature and provide more compelling... (Meta-Analysis)
Meta-Analysis Review
Acute kidney injury may increase the risk for chronic kidney disease and end-stage renal disease. In an attempt to summarize the literature and provide more compelling evidence, we conducted a systematic review comparing the risk for CKD, ESRD, and death in patients with and without AKI. From electronic databases, web search engines, and bibliographies, 13 cohort studies were selected, evaluating long-term renal outcomes and non-renal outcomes in patients with AKI. The pooled incidence of CKD and ESRD were 25.8 per 100 person-years and 8.6 per 100 person-years, respectively. Patients with AKI had higher risks for developing CKD (pooled adjusted hazard ratio 8.8, 95% CI 3.1-25.5), ESRD (pooled adjusted HR 3.1, 95% CI 1.9-5.0), and mortality (pooled adjusted HR 2.0, 95% CI 1.3-3.1) compared with patients without AKI. The relationship between AKI and CKD or ESRD was graded on the basis of the severity of AKI, and the effect size was dampened by decreased baseline glomerular filtration rate. Data were limited, but AKI was also independently associated with the risk for cardiovascular disease and congestive heart failure, but not with hospitalization for stroke or all-cause hospitalizations. Meta-regression did not identify any study-level factors that were associated with the risk for CKD or ESRD. Our review identifies AKI as an independent risk factor for CKD, ESRD, death, and other important non-renal outcomes.
Topics: Acute Kidney Injury; Chronic Disease; Humans; Kidney Diseases; Kidney Failure, Chronic; Risk Factors; Survival Rate
PubMed: 22113526
DOI: 10.1038/ki.2011.379 -
British Journal of Clinical Pharmacology Sep 2022This systematic literature review and meta-analysis aimed to evaluate the risk factors for vancomycin-associated acute kidney injury (AKI) incidence. (Meta-Analysis)
Meta-Analysis Review
AIMS
This systematic literature review and meta-analysis aimed to evaluate the risk factors for vancomycin-associated acute kidney injury (AKI) incidence.
METHODS
This study assessed risk factors for vancomycin-associated AKI in adult patients by searching studies from PubMed, the Cochrane Library and Embase. Random effect models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).
RESULTS
Fifty-three studies were included in our meta-analysis. For patient factors, black race (OR 1.47, 95% CI: 1.16-1.87), Caucasian (OR 0.72, 95% CI: 0.58-0.90) and obesity (OR 1.46, 95% CI: 1.12-1.90) were associated with an increase in vancomycin-associated AKIs. In terms of vancomycin-related factors, longer treatment duration (>14 d; OR 1.73, 95% CI: 1.06-2.83), serum vancomycin trough level >15 μg/mL (OR 2.10, 95% CI: 1.43-3.07) and vancomycin trough level >20 μg/mL (OR 2.84, 95% CI: 1.48-5.44) increased the risks of vancomycin-associated AKI. For comorbidities and clinical factors, renal disease (OR 2.19, 95% CI: 1.51-3.17) showed the highest odds of vancomycin-associated AKI, followed by hepatic disease, intensive care unit admission, heart failure, sepsis, coronary heart disease and diabetes mellitus. For concomitant nephrotoxic drugs, amphotericin B (OR 5.21, 95% CI: 3.44-7.87) showed the highest odds of vancomycin-associated AKI, followed by acyclovir (OR 3.22, 95% CI: 1.39-7.46), vasopressors, loop diuretics, piperacillin-tazobactam and aminoglycoside. The use of any concomitant nephrotoxic agent (OR 1.74, 95% CI: 1.17-2.58) increased the odds of vancomycin-associated AKI.
CONCLUSION
Our results may help predict the risk of vancomycin-associated AKI in the clinical setting.
Topics: Acute Kidney Injury; Adult; Anti-Bacterial Agents; Drug Therapy, Combination; Humans; Retrospective Studies; Risk Factors; Vancomycin
PubMed: 35665530
DOI: 10.1111/bcp.15429 -
Critical Care (London, England) Sep 2023Cardiac surgery-associated acute kidney injury (CSA-AKI) is frequent. While two network meta-analyses assessed the impact of pharmacological interventions to prevent... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Cardiac surgery-associated acute kidney injury (CSA-AKI) is frequent. While two network meta-analyses assessed the impact of pharmacological interventions to prevent CSA-AKI, none focused on non-pharmacological interventions. We aim to assess the effectiveness of non-pharmacological interventions to reduce the incidence of CSA-AKI.
METHODS
We searched PubMed, Embase, Central and clinical trial registries from January 1, 2004 (first consensus definition of AKI) to July 1, 2023. Additionally, we conducted manual screening of abstracts of major anesthesia and intensive care conferences over the last 5 years and reference lists of relevant studies. We selected all randomized controlled trials (RCTs) assessing a non-pharmacological intervention to reduce the incidence of CSA-AKI, without language restriction. We excluded RCTs of heart transplantation or involving a pediatric population. The primary outcome variable was CSA-AKI. Two reviewers independently identified trials, extracted data and assessed risk of bias. Random-effects meta-analyses were conducted to calculate risk ratios (RRs) with 95% confidence intervals (CIs). We used the Grading of Recommendations Assessment, Development, and Evaluation to assess the quality of evidence.
RESULTS
We included 86 trials (25,855 patients) evaluating 10 non-pharmacological interventions to reduce the incidence of CSA-AKI. No intervention had high-quality evidence to reduce CSA-AKI. Two interventions were associated with a significant reduction in CSA-AKI incidence, with moderate quality of evidence: goal-directed perfusion (RR, 0.55 [95% CI 0.40-0.76], I = 0%; P = 0.44) and remote ischemic preconditioning (RR, 0.86 [0.78-0.95]; I = 23%; P = 0.07). Pulsatile flow during cardiopulmonary bypass was associated with a significant reduction in CSA-AKI incidence but with very low quality of evidence (RR = 0.69 [0.48; 0.99]; I = 53%; P < 0.01). We found high quality of evidence for lack of effect of restrictive transfusion strategy (RR, 1.02 [95% CI 0.92; 1.12; P = 0.67; I = 3%) and tight glycemic control (RR, 0.86 [95% CI 0.55; 1.35]; P = 0.25; I = 26%).
CONCLUSIONS
Two non-pharmacological interventions are likely to reduce CSA-AKI incidence, with moderate quality of evidence: goal-directed perfusion and remote ischemic preconditioning.
Topics: Child; Humans; Cardiac Surgical Procedures; Acute Kidney Injury; Anesthesia; Anesthesiology; Cardiopulmonary Bypass
PubMed: 37700297
DOI: 10.1186/s13054-023-04640-1 -
Pharmacotherapy Sep 2022Vancomycin is commonly used to treat methicillin-resistant Staphylococcus aureus infections and is known to cause nephrotoxicity. Previous Vancomycin Consensus... (Meta-Analysis)
Meta-Analysis Review
Vancomycin is commonly used to treat methicillin-resistant Staphylococcus aureus infections and is known to cause nephrotoxicity. Previous Vancomycin Consensus Guidelines recommended targeting trough concentrations but the 2020 Guidelines suggest monitoring vancomycin area under the curve (AUC) given the reduced risk of acute kidney injury (AKI) at similar levels of efficacy. This meta-analysis compares vancomycin-induced AKI incidence using AUC-guided dosing strategies versus trough-based monitoring. Literature was queried from Medline (Ovid), Web of Science, and Google Scholar from database inception through November 5, 2021. Interventional or observational studies reporting the incidence of vancomycin-induced AKI between AUC- and trough-guided dosing strategies were included. In the primary analysis, the Vancomycin Consensus Guidelines definition for AKI was used if reported; otherwise, the Risk, Injury, and Failure; and Loss, and End-stage kidney disease (RIFLE) or Kidney Disease Improving Global Outcomes (KDIGO) definitions were used. The incidence of nephrotoxicity was evaluated between the two strategies using a Mantel-Haenszel random-effects model, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Subgroup analyses for adjusted ORs and AKI definitions were performed. Heterogeneity was identified using Cochrane's Q test and I statistics. A total of 10 studies with 4231 patients were included. AUC-guided dosing strategies were associated with significantly less vancomycin-induced AKI than trough-guided strategies [OR 0.625, 95% CI (0.469-0.834), p = 0.001; I = 25.476]. A subgroup analysis of three studies reporting adjusted ORs yielded similar results [OR 0.475, 95% CI (0.261-0.863), p = 0.015]. Stratification by AKI definition showed a significant reduction in AKI with the Vancomycin Consensus Guidelines definition [OR 0.552, 95% CI (0.341-0.894), p = 0.016] but failed to find significance in the alternative definitions. Area under the curve-guided dosing strategies are associated with a lower incidence of vancomycin-induced AKI versus trough-guided dosing strategies (GRADE, low). Limitations included the variety of AKI definitions and the potential for confounding bias.
Topics: Humans; Acute Kidney Injury; Anti-Bacterial Agents; Area Under Curve; Electrolytes; Methicillin-Resistant Staphylococcus aureus; Microbial Sensitivity Tests; Retrospective Studies; Vancomycin
PubMed: 35869689
DOI: 10.1002/phar.2722 -
BMC Nephrology Jul 2020Due to the high incidence and mortality of sepsis-associated acute kidney injury, a significant number of studies have explored the causes of sepsis-associated acute... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Due to the high incidence and mortality of sepsis-associated acute kidney injury, a significant number of studies have explored the causes of sepsis-associated acute kidney injury (AKI). However, the opinions on relevant predictive risk factors remain inconclusive. This study aimed to provide a systematic review and meta-analysis to determine the predisposing factors for sepsis-associated AKI.
METHOD
A systematic literature search was performed in the Medline, Embase, Cochrane Library, PubMed, and Web of Science, databases, with an end-date of 25th May 2019. Valid data were retrieved in compliance with specific inclusion and exclusion criteria.
RESULT
Forty-seven observational studies were included for analysis, achieving a cumulative patient number of 55,911. The highest incidence of AKI was caused by septic shock. Thirty-one potential risk factors were included in the meta-analysis. Analysis showed that 20 factors were statistically significant. The odds ratio (OR) and 95% confidence interval (CI), as well as the prevalence of the most frequently-seen predisposing factors for sepsis-associated AKI, were as follows: septic shock [2.88 (2.36-3.52), 60.47%], hypertension [1.43 (1.20-1.70), 38.39%], diabetes mellitus [1.59 (1.47-1.71), 27.57%], abdominal infection [1.44 (1.32-1.58), 30.87%], the administration of vasopressors [2.95 (1.67-5.22), 64.61%], the administration of vasoactive drugs [3.85 (1.89-7.87), 63.22%], mechanical ventilation [1.64 (1.24-2.16), 68.00%], positive results from blood culture [1.60 (1.35-1.89), 41.19%], and a history of smoking [1.60 (1.09-2.36), 43.09%]. Other risk factors included cardiovascular diseases, coronary artery diseases, liver diseases, unknown infections, the administration of diuretics and ACEI/ARB, the infection caused by gram-negative bacteria, and organ transplantation.
CONCLUSION
Risk factors of S-AKI arise from a wide range of sources, making it difficult to predict and prevent this condition. Comorbidities, and certain drugs, are the main risk factors for S-AKI. Our review can provide guidance on the application of interventions to reduce the risks associated with sepsis-associated acute kidney injury and can also be used to tailor patient-specific treatment plans and management strategies in clinical practice.
Topics: Acute Kidney Injury; Bacteremia; Blood Culture; Diabetes Mellitus; Humans; Hypertension; Intraabdominal Infections; Respiration, Artificial; Risk Factors; Sepsis; Shock, Septic; Smoking; Vasoconstrictor Agents
PubMed: 32736541
DOI: 10.1186/s12882-020-01974-8 -
Kidney International Jan 2015Acute kidney injury (AKI) is a common syndrome that is independently associated with increased mortality. A standardized definition is important to facilitate clinical... (Review)
Review
Acute kidney injury (AKI) is a common syndrome that is independently associated with increased mortality. A standardized definition is important to facilitate clinical care and research. The definition of AKI has evolved rapidly since 2004, with the introduction of the Risk, Injury, Failure, Loss, and End-stage renal disease (RIFLE), AKI Network (AKIN), and Kidney Disease Improving Global Outcomes (KDIGO) classifications. RIFLE was modified for pediatric use (pRIFLE). They were developed using both evidence and consensus. Small rises in serum creatinine are independently associated with increased mortality, and hence are incorporated into the current definition of AKI. The recent definition from the international KDIGO guideline merged RIFLE and AKIN. Systematic review has found that these definitions do not differ significantly in their performance. Health-care staff caring for children or adults should use standard criteria for AKI, such as the pRIFLE or KDIGO definitions, respectively. These efforts to standardize AKI definition are a substantial advance, although areas of uncertainty remain. The new definitions have enabled the use of electronic alerts to warn clinicians of possible AKI. Novel biomarkers may further refine the definition of AKI, but their use will need to produce tangible improvements in outcomes and cost effectiveness. Further developments in AKI definitions should be informed by research into their practical application across health-care providers. This review will discuss the definition of AKI and its use in practice for clinicians and laboratory scientists.
Topics: Acute Kidney Injury; Humans; Kidney Function Tests; Terminology as Topic
PubMed: 25317932
DOI: 10.1038/ki.2014.328 -
Critical Care (London, England) Jun 2016Rhabdomyolysis is a clinical syndrome that comprises destruction of skeletal muscle with outflow of intracellular muscle content into the bloodstream. There is a great... (Review)
Review
BACKGROUND
Rhabdomyolysis is a clinical syndrome that comprises destruction of skeletal muscle with outflow of intracellular muscle content into the bloodstream. There is a great heterogeneity in the literature regarding definition, epidemiology, and treatment. The aim of this systematic literature review was to summarize the current state of knowledge regarding the epidemiologic data, definition, and management of rhabdomyolysis.
METHODS
A systematic search was conducted using the keywords "rhabdomyolysis" and "crush syndrome" covering all articles from January 2006 to December 2015 in three databases (MEDLINE, SCOPUS, and ScienceDirect). The search was divided into two steps: first, all articles that included data regarding definition, pathophysiology, and diagnosis were identified, excluding only case reports; then articles of original research with humans that reported epidemiological data (e.g., risk factors, common etiologies, and mortality) or treatment of rhabdomyolysis were identified. Information was summarized and organized based on these topics.
RESULTS
The search generated 5632 articles. After screening titles and abstracts, 164 articles were retrieved and read: 56 articles met the final inclusion criteria; 23 were reviews (narrative or systematic); 16 were original articles containing epidemiological data; and six contained treatment specifications for patients with rhabdomyolysis.
CONCLUSION
Most studies defined rhabdomyolysis based on creatine kinase values five times above the upper limit of normal. Etiologies differ among the adult and pediatric populations and no randomized controlled trials have been done to compare intravenous fluid therapy alone versus intravenous fluid therapy with bicarbonate and/or mannitol.
Topics: Acute Kidney Injury; Crush Injuries; Fluid Therapy; Humans; Ischemia; Muscle, Skeletal; Muscular Diseases; Physical Exertion; Rhabdomyolysis; Risk Factors
PubMed: 27301374
DOI: 10.1186/s13054-016-1314-5 -
Critical Care (London, England) Aug 2004There is no consensus definition of acute renal failure (ARF) in critically ill patients. More than 30 different definitions have been used in the literature, creating... (Review)
Review
Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group.
INTRODUCTION
There is no consensus definition of acute renal failure (ARF) in critically ill patients. More than 30 different definitions have been used in the literature, creating much confusion and making comparisons difficult. Similarly, strong debate exists on the validity and clinical relevance of animal models of ARF; on choices of fluid management and of end-points for trials of new interventions in this field; and on how information technology can be used to assist this process. Accordingly, we sought to review the available evidence, make recommendations and delineate key questions for future studies.
METHODS
We undertook a systematic review of the literature using Medline and PubMed searches. We determined a list of key questions and convened a 2-day consensus conference to develop summary statements via a series of alternating breakout and plenary sessions. In these sessions, we identified supporting evidence and generated recommendations and/or directions for future research.
RESULTS
We found sufficient consensus on 47 questions to allow the development of recommendations. Importantly, we were able to develop a consensus definition for ARF. In some cases it was also possible to issue useful consensus recommendations for future investigations. We present a summary of the findings. (Full versions of the six workgroups' findings are available on the internet at http://www.ADQI.net)
CONCLUSION
Despite limited data, broad areas of consensus exist for the physiological and clinical principles needed to guide the development of consensus recommendations for defining ARF, selection of animal models, methods of monitoring fluid therapy, choice of physiological and clinical end-points for trials, and the possible role of information technology.
Topics: Acute Kidney Injury; Animals; Creatinine; Critical Illness; Fluid Therapy; Glomerular Filtration Rate; Humans; Models, Animal; Outcome Assessment, Health Care; Randomized Controlled Trials as Topic; Renal Replacement Therapy; Sensitivity and Specificity; Urea
PubMed: 15312219
DOI: 10.1186/cc2872