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Buis DTP, van der Vaart TW, Mohan A, Prins JM, van der Meer JTM, Bonten MJM, Jakulj L, van Werkhoven CH, Sigaloff KCE. Acute kidney injury in Staphylococcus aureus bacteraemia: a recurrent events analysis. Clin Microbiol Infect 2024; 30:1270-1275. [PMID: 38925460 DOI: 10.1016/j.cmi.2024.06.017] [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: 02/27/2024] [Revised: 05/09/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVES To estimate risk factors for acute kidney injury (AKI) and the effect of AKI on mortality in Staphylococcus aureus bacteraemia, while taking into account recurrent AKI episodes, competing risks, time-varying variables, and time-varying effects. METHODS We performed an unplanned analysis using data from a multicentre cohort study of patients with Staphylococcus aureus bacteraemia (SAB). The primary outcome was cumulative incidence of AKI, according to Kidney Disease Improving Global Outcomes definitions. RESULTS We included 453 patients in this study of whom 194 (43%) patients experienced one or more AKI episodes. Age (hazard ratio (HR) 1.013, 95% CI 1.001-1.024), Charlson comorbidity index (HR 1.07, 95% CI 1.01-1.14), prior chronic kidney disease (HR 1.76, 95% CI 1.28-2.42), septic shock (HR 3.28, 95% CI 2.31-4.66), persistent bacteraemia (HR 1.53, 95% CI 1.08-2.17), and vancomycin therapy (HR 1.80, 95% CI 1.05-3.09) were independently associated with AKI, but flucloxacillin, cefazolin, rifampicin, and aminoglycoside therapy were not. After adjustment for confounders and immortal time bias, AKI was associated with an increased risk of 90-day mortality (HR 4.26, 95% CI 2.91-6.23). DISCUSSION The incidence of AKI in SAB is high and a substantial proportion of patients develop recurrent episodes of AKI after recovery. AKI is specifically linked to the use of vancomycin and not to anti-staphylococcal penicillins. The clinical outcome of patients with SAB complicated by AKI is worse than previously estimated.
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Affiliation(s)
- David T P Buis
- Department of Internal Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands.
| | - Thomas W van der Vaart
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Department of Internal Medicine, Amsterdam UMC Location Universiteit van Amsterdam, Amsterdam, the Netherlands; Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Asna Mohan
- Department of Internal Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
| | - Jan M Prins
- Department of Internal Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jan T M van der Meer
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Department of Internal Medicine, Amsterdam UMC Location Universiteit van Amsterdam, Amsterdam, the Netherlands
| | - Marc J M Bonten
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands; European Clinical Research Alliance on Infectious Diseases, Utrecht, the Netherlands
| | - Lily Jakulj
- Department of Nephrology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Dianet Dialysis Center Amsterdam, the Netherlands
| | - Cornelis H van Werkhoven
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kim C E Sigaloff
- Department of Internal Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
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Westgeest AC, Lambregts MMC, Ruffin F, Korn RE, Webster ME, Kair JL, Parsons JB, Maskarinec SA, Kaplan S, Dekkers OM, de Boer MGJ, Fowler VG, Thaden JT. Female Sex and Mortality in Patients with Staphylococcus aureus Bacteremia: A Systematic Review and Meta-analysis. JAMA Netw Open 2024; 7:e240473. [PMID: 38411961 PMCID: PMC10900971 DOI: 10.1001/jamanetworkopen.2024.0473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/08/2024] [Indexed: 02/28/2024] Open
Abstract
Importance Staphylococcus aureus is the leading cause of death due to bacterial bloodstream infection. Female sex has been identified as a risk factor for mortality in S aureus bacteremia (SAB) in some studies, but not in others. Objective To determine whether female sex is associated with increased mortality risk in SAB. Data Sources MEDLINE, Embase, and Web of Science were searched from inception to April 26, 2023. Study Selection Included studies met the following criteria: (1) randomized or observational studies evaluating adults with SAB, (2) included 200 or more patients, (3) reported mortality at or before 90 days following SAB, and (4) reported mortality stratified by sex. Studies on specific subpopulations (eg, dialysis, intensive care units, cancer patients) and studies that included patients with bacteremia by various microorganisms that did not report SAB-specific data were excluded. Data Extraction and Synthesis Data extraction and quality assessment were performed by 1 reviewer and verified by a second reviewer. Risk of bias and quality were assessed with the Newcastle-Ottawa Quality Assessment Scale. Mortality data were combined as odds ratios (ORs). Main Outcome and Measures Mortality at or before 90-day following SAB, stratified by sex. Results From 5339 studies retrieved, 89 were included (132 582 patients; 50 258 female [37.9%], 82 324 male [62.1%]). Unadjusted mortality data were available from 81 studies (109 828 patients) and showed increased mortality in female patients compared with male patients (pooled OR, 1.12; 95% CI, 1.06-1.18). Adjusted mortality data accounting for additional patient characteristics and treatment variables were available from 32 studies (95 469 patients) and revealed a similarly increased mortality risk in female relative to male patients (pooled adjusted OR, 1.18; 95% CI, 1.11-1.27). No evidence of publication bias was encountered. Conclusions and Relevance In this systematic review and meta-analysis, female patients with SAB had higher mortality risk than males in both unadjusted and adjusted analyses. Further research is needed to study the potential underlying mechanisms.
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Affiliation(s)
- Annette C. Westgeest
- Division of Infectious Diseases, Duke University, Durham, North Carolina
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
| | - Merel M. C. Lambregts
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
| | - Felicia Ruffin
- Division of Infectious Diseases, Duke University, Durham, North Carolina
| | - Rachel E. Korn
- Division of Infectious Diseases, Duke University, Durham, North Carolina
| | - Maren E. Webster
- Division of Infectious Diseases, Duke University, Durham, North Carolina
| | - Jackson L. Kair
- Division of Infectious Diseases, Duke University, Durham, North Carolina
| | - Joshua B. Parsons
- Division of Infectious Diseases, Duke University, Durham, North Carolina
| | | | - Samantha Kaplan
- Medical Center Library and Archives, Duke University, Durham, North Carolina
| | - Olaf M. Dekkers
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark G. J. de Boer
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Vance G. Fowler
- Division of Infectious Diseases, Duke University, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Joshua T. Thaden
- Division of Infectious Diseases, Duke University, Durham, North Carolina
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Cai J, Yang M, Deng H, Bai H, Zheng G, He J. Acute kidney injury should not be neglected - optimization of quick Pitt bacteremia score for predicting mortality in critically ill patients with bloodstream infection: a retrospective cohort study. Ther Adv Infect Dis 2024; 11:20499361241231147. [PMID: 38410828 PMCID: PMC10896049 DOI: 10.1177/20499361241231147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/22/2024] [Indexed: 02/28/2024] Open
Abstract
Background Considering the therapeutic difficulties and mortality associated with bloodstream infection (BSI), it is essential to investigate other potential factors affecting mortality in critically ill patients with BSI and examine the utility of the quick Pitt bacteremia (qPitt) score to improve the survival rate. Objectives To improve the predictive accuracy of the qPitt scoring system by evaluating the five current components of qPitt and including other potential factors influencing mortality in critically ill patients with BSI. Design This was a retrospective cohort study. Methods Medical information from the Medical Information Mart for Intensive Care IV database was used in this retrospective cohort study. The risk factors associated with mortality were examined using a multivariate logistic regression model. The area under the receiver operating characteristic curve (AUC) was used to assess the discriminatory capability of the prediction models. Results In total, 1240 eligible critically ill patients with BSI were included. After adjustment for age, community-onset BSI, indwelling invasive lines, and Glasgow Coma Scale (GCS) ⩽ 8, acute kidney injury (AKI) was identified as a notable risk factor for 14-day mortality. Except for altered mental status, the four other main components of the original qPitt were significantly associated with 14-day mortality. Hence, we established a modified qPitt (m-qPitt) by adding AKI and replacing altered mental status with GCS ⩽ 8. The AUCs for m-qPitt and qPitt were 0.723 [95% confidence interval (CI): 0.683-0.759] and 0.708 (95% CI: 0.669-0.745) in predicting 14-day mortality, respectively. Moreover, m-qPitt also had acceptable performance and discrimination power [0.700 (95% CI: 0.666-0.732)] in predicting 28-day mortality. Conclusion AKI significantly influenced the survival of critically ill patients with BSIs. Compared with the original qPitt, our new m-qPitt was proven to have a better predictive performance for mortality in critically ill patients with BSI. Further studies should be conducted to validate the practicality of m-qPitt.
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Affiliation(s)
- Jiaqi Cai
- Department of Pharmacy, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Clinical Laboratory, Kunshan Hospital Affiliated to Nanjing University of Chinese Medicine, Kunshan, China
| | - Ming Yang
- The 2nd Department of Tuberculosis, Zhongshan Second People’s Hospital, Zhongshan, China
| | - Han Deng
- Department of International Medical Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Hao Bai
- Department of Pharmacy, Chongqing University Cancer Hospital, Chongqing, China
| | - Guanhao Zheng
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Juan He
- Department of Pharmacy, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Room 202, 2nd Floor, 12 Building, 197 Ruijin No. 2 Road, Huangpu, Shanghai 200025, China
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Legg A, Meagher N, Johnson SA, Roberts MA, Cass A, Scheetz MH, Davies J, Roberts JA, Davis JS, Tong SYC. Risk Factors for Nephrotoxicity in Methicillin-Resistant Staphylococcus aureus Bacteraemia: A Post Hoc Analysis of the CAMERA2 Trial. Clin Drug Investig 2023; 43:23-33. [PMID: 36217068 PMCID: PMC9834357 DOI: 10.1007/s40261-022-01204-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Clinical risk factors for nephrotoxicity in Staphylococcus aureus bacteraemia remain largely undetermined, despite its common occurrence and clinical significance. In an international, multicentre, prospective clinical trial (CAMERA2), which compared standard therapy (vancomycin monotherapy) to combination therapy (adding an anti-staphylococcal beta-lactam) for methicillin-resistant S. aureus bacteraemia, significantly more people in the combination therapy arm experienced acute kidney injury compared with those in the monotherapy arm (23% vs 6%). OBJECTIVE The aim of this post hoc analysis was to explore in greater depth the risk factors for acute kidney injury from the CAMERA2 trial. METHODS Among participants of the CAMERA2 trial, demographic-related, infection-related and treatment-related risk factors were assessed for their relationship with acute kidney injury by univariable and multivariable logistic regression. Acute kidney injury was defined by a modified-KDIGO (Kidney Disease: Improving Global Outcomes) criteria (not including urinary output). RESULTS Of the 266 participants included, age (p = 0.04), randomisation to combination therapy (p = 0.002), vancomycin area under the concentration-time curve (p = 0.03) and receipt of (flu)cloxacillin as the companion beta-lactam (p < 0.001) were significantly associated with acute kidney injury. On a multivariable analysis, concurrent use of (flu)cloxacillin increased the risk of acute kidney injury over four times compared with the use of cefazolin or no beta-lactam. The association of vancomycin area under the concentration-time curve with acute kidney injury also persisted in the multivariable model. CONCLUSIONS For participants receiving vancomycin for S. aureus bacteraemia, use of (flu)cloxacillin and increased vancomycin area under the concentration-time curve were risk factors for acute kidney injury. These represent potentially modifiable risk factors for nephrotoxicity and highlight the importance of avoiding the use of concurrent nephrotoxins.
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Affiliation(s)
- Amy Legg
- grid.271089.50000 0000 8523 7955Menzies School of Health Research, Darwin, NT Australia
| | - Niamh Meagher
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Infectious Diseases at The Doherty Institute for Infection and Immunity, The University of Melbourne and Royal Melbourne Hospital, Melbourne, VIC Australia
| | - Sandra A. Johnson
- grid.1008.90000 0001 2179 088XMicrobiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC Australia
| | - Matthew A. Roberts
- grid.1002.30000 0004 1936 7857Eastern Health Clinical School, Monash University, Box Hill, VIC Australia
| | - Alan Cass
- grid.271089.50000 0000 8523 7955Menzies School of Health Research, Darwin, NT Australia
| | - Marc H. Scheetz
- grid.260024.20000 0004 0627 4571Department of Pharmacy Practice, Midwestern University Chicago College of Pharmacy, Downers Grove, IL USA ,grid.260024.20000 0004 0627 4571Department of Pharmacology, Midwestern University College of Graduate Studies, Downers Grove, IL USA ,grid.260024.20000 0004 0627 4571Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL USA ,grid.490348.20000000446839645Department of Pharmacy, Northwestern Medicine, Chicago, IL USA
| | - Jane Davies
- grid.271089.50000 0000 8523 7955Menzies School of Health Research, Darwin, NT Australia ,grid.240634.70000 0000 8966 2764Department of Infectious Diseases, Royal Darwin Hospital, Darwin, NT Australia
| | - Jason A. Roberts
- grid.1003.20000 0000 9320 7537Faculty of Medicine, University of Queensland Centre for Clinical Research (UQCCR), Brisbane, QLD Australia ,grid.416100.20000 0001 0688 4634Departments of Intensive Care Medicine and Pharmacy, Royal Brisbane and Women’s Hospital, Brisbane, QLD Australia ,grid.121334.60000 0001 2097 0141Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France
| | - Joshua S. Davis
- grid.271089.50000 0000 8523 7955Menzies School of Health Research, Darwin, NT Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, The University of Newcastle, Newcastle, NSW Australia
| | - Steven Y. C. Tong
- grid.416153.40000 0004 0624 1200Victorian Infectious Diseases Service, The Royal Melbourne Hospital, at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC Australia
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Naylor NR, Atun R, Zhu N, Kulasabanathan K, Silva S, Chatterjee A, Knight GM, Robotham JV. Estimating the burden of antimicrobial resistance: a systematic literature review. Antimicrob Resist Infect Control 2018; 7:58. [PMID: 29713465 PMCID: PMC5918775 DOI: 10.1186/s13756-018-0336-y] [Citation(s) in RCA: 289] [Impact Index Per Article: 48.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 03/14/2018] [Indexed: 01/02/2023] Open
Abstract
Background Accurate estimates of the burden of antimicrobial resistance (AMR) are needed to establish the magnitude of this global threat in terms of both health and cost, and to paramaterise cost-effectiveness evaluations of interventions aiming to tackle the problem. This review aimed to establish the alternative methodologies used in estimating AMR burden in order to appraise the current evidence base. Methods MEDLINE, EMBASE, Scopus, EconLit, PubMed and grey literature were searched. English language studies evaluating the impact of AMR (from any microbe) on patient, payer/provider and economic burden published between January 2013 and December 2015 were included. Independent screening of title/abstracts followed by full texts was performed using pre-specified criteria. A study quality score (from zero to one) was derived using Newcastle-Ottawa and Philips checklists. Extracted study data were used to compare study method and resulting burden estimate, according to perspective. Monetary costs were converted into 2013 USD. Results Out of 5187 unique retrievals, 214 studies were included. One hundred eighty-seven studies estimated patient health, 75 studies estimated payer/provider and 11 studies estimated economic burden. 64% of included studies were single centre. The majority of studies estimating patient or provider/payer burden used regression techniques. 48% of studies estimating mortality burden found a significant impact from resistance, excess healthcare system costs ranged from non-significance to $1 billion per year, whilst economic burden ranged from $21,832 per case to over $3 trillion in GDP loss. Median quality scores (interquartile range) for patient, payer/provider and economic burden studies were 0.67 (0.56-0.67), 0.56 (0.46-0.67) and 0.53 (0.44-0.60) respectively. Conclusions This study highlights what methodological assumptions and biases can occur dependent on chosen outcome and perspective. Currently, there is considerable variability in burden estimates, which can lead in-turn to inaccurate intervention evaluations and poor policy/investment decisions. Future research should utilise the recommendations presented in this review. Trial registration This systematic review is registered with PROSPERO (PROSPERO CRD42016037510).
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Affiliation(s)
- Nichola R. Naylor
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Rifat Atun
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
- Harvard University, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Nina Zhu
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Kavian Kulasabanathan
- Imperial College London, Sir Alexander Fleming Building, South Kensington Campus, London, UK
| | - Sachin Silva
- Harvard University, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Anuja Chatterjee
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Gwenan M. Knight
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Julie V. Robotham
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
- Modelling and Economics Unit, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ UK
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Collister D, Pannu N, Ye F, James M, Hemmelgarn B, Chui B, Manns B, Klarenbach S. Health Care Costs Associated with AKI. Clin J Am Soc Nephrol 2017; 12:1733-1743. [PMID: 29051143 PMCID: PMC5672961 DOI: 10.2215/cjn.00950117] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 07/18/2017] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND OBJECTIVES An understanding of the health care resource use associated with AKI is needed to frame the investment and cost-effectiveness of strategies to prevent AKI and promote kidney recovery. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We assembled population-based cohort of adults hospitalized in Alberta between November of 2002 and March of 2009 without ESRD or an eGFR<15 ml/min per 1.73 m2. Outpatient serum creatinine measurements 6 months preceding admission defined baseline kidney function, and serum creatinine during the first 14 days of hospitalization defined Acute Kidney Injury Network stage; kidney recovery defined as serum creatinine within 25% of baseline and independence from dialysis was assessed at 90 days after AKI. Health care utilization and costs (in 2015 Canadian dollars) were determined from inpatient, outpatient, and physician claims datasets during the index hospitalization, recovery period (90 days post-AKI assessment), and 3-12 months post-AKI. A fully adjusted generalized linear model regression analysis was used to estimate costs associated with AKI. RESULTS Of 239,906 hospitalized subjects, 25,495 (10.6%), 4598 (1.9%), 2493 (1.0%), and 670 (0.3%) had Acute Kidney Injury Network stages 1, 2, 3 without dialysis, and 3 with dialysis, respectively. Greater severity of AKI was associated with incremental increases in length of stay (+2.8; 95% confidence interval, 1.4 to 4.3 to +7.4; 95% confidence interval, 7.2 to 7.5 days) and costs (+$3779; 95% confidence interval, $3555 to $4004 to +$18,291; 95% confidence interval, $15,573 to $21,009 Canadian dollars) from admission to recovery assessment (3 months). At months 3-12 postadmission, compared with subjects without AKI, AKI with kidney recovery and AKI without kidney recovery were associated with incremental costs of +$2912-$3231 and +$6035-$8563 Canadian dollars, respectively. The estimated incremental cost of AKI in Canada is estimated to be over $200 million Canadian dollars per year. CONCLUSIONS Severity of AKI, need for dialysis, and lack of kidney recovery are associated with significant health care costs in hospitalized patients and persist a year after admission. Strategies to identify, prevent, and facilitate kidney recovery are needed.
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Affiliation(s)
- David Collister
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Neesh Pannu
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Feng Ye
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Matthew James
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Brenda Hemmelgarn
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Betty Chui
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada; and
| | - Braden Manns
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Scott Klarenbach
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Institute of Health Economics, Edmonton, Alberta, Canada
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Lameire N, Van Biesen W, Vanholder R. Epidemiology of acute kidney injury in children worldwide, including developing countries. Pediatr Nephrol 2017; 32:1301-1314. [PMID: 27307245 DOI: 10.1007/s00467-016-3433-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 05/12/2016] [Accepted: 05/12/2016] [Indexed: 01/06/2023]
Abstract
In this review we summarize the world-wide epidemiology of acute kidney injury (AKI) in children with special emphasis on low-income countries, notably those of the sub-Saharan continent. We discuss definitions and classification systems used in pediatric AKI literature. At present, despite some shortcomings, traditional Pediatric Risk Injury Failure Loss and End Stage Kidney Disease (pRIFLE) and Kidney Disease Improving Global Outcomes (KDIGO) systems are the most clinically useful. Alternative definitions, such as monitoring serum cystatin or novel urinary biomarkers, including cell cycle inhibitors, require more long-term studies in heterogenous pediatric AKI populations before they can be recommended in routine clinical practice. A potentially interesting future application of some novel biomarkers could be incorporation into the "renal angina index", a concept recently introduced in pediatric nephrology. The most reliable epidemiological data on AKI in children come from high-outcome countries and are frequently focused on critically ill pediatric intensive care unit populations. In these patients AKI is often secondary to other systemic illnesses or their treatment. Based on a recent literature search performed within the framework of the "AKI 0by25" project of the International Society of Nephrology, we discuss the scarce and often inaccurate data on AKI epidemiology in low-income countries, notably those on the African continent. The last section reflects on some of the many barriers to improvement of overall health care in low-income populations. Although preventive strategies for AKI in low-income countries should essentially be the same as those in high-income countries, we believe any intervention for earlier detection and better treatment of AKI must address all health determinants, including educational, cultural, socio-economic and environmental factors, specific for these deprived areas.
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Affiliation(s)
- Norbert Lameire
- Renal Division, Department of Medicine, University Hospital, De Pintelaan 285, 9000, Gent, Belgium.
| | - Wim Van Biesen
- Renal Division, Department of Medicine, University Hospital, De Pintelaan 285, 9000, Gent, Belgium
| | - Raymond Vanholder
- Renal Division, Department of Medicine, University Hospital, De Pintelaan 285, 9000, Gent, Belgium
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McGregor TL, Jones DP, Wang L, Danciu I, Bridges BC, Fleming GM, Shirey-Rice J, Chen L, Byrne DW, Van Driest SL. Acute Kidney Injury Incidence in Noncritically Ill Hospitalized Children, Adolescents, and Young Adults: A Retrospective Observational Study. Am J Kidney Dis 2016; 67:384-90. [PMID: 26319754 PMCID: PMC4769119 DOI: 10.1053/j.ajkd.2015.07.019] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 07/06/2015] [Indexed: 01/01/2023]
Abstract
BACKGROUND Acute kidney injury (AKI) has been characterized in high-risk pediatric hospital inpatients, in whom AKI is frequent and associated with increased mortality, morbidity, and length of stay. The incidence of AKI among patients not requiring intensive care is unknown. STUDY DESIGN Retrospective cohort study. SETTING & PARTICIPANTS 13,914 noncritical admissions during 2011 and 2012 at our tertiary referral pediatric hospital were evaluated. Patients younger than 28 days or older than 21 years of age or with chronic kidney disease (CKD) were excluded. Admissions with 2 or more serum creatinine measurements were evaluated. FACTORS Demographic features, laboratory measurements, medication exposures, and length of stay. OUTCOME AKI defined as increased serum creatinine level in accordance with KDIGO (Kidney Disease: Improving Global Outcomes) criteria. Based on time of admission, time interval requirements were met in 97% of cases, but KDIGO time window criteria were not strictly enforced to allow implementation using clinically obtained data. RESULTS 2 or more creatinine measurements (one baseline before or during admission and a second during admission) in 2,374 of 13,914 (17%) patients allowed for AKI evaluation. A serum creatinine difference ≥0.3mg/dL or ≥1.5 times baseline was seen in 722 of 2,374 (30%) patients. A minimum of 5% of all noncritical inpatients without CKD in pediatric wards have an episode of AKI during routine hospital admission. LIMITATIONS Urine output, glomerular filtration rate, and time interval criteria for AKI were not applied secondary to study design and available data. The evaluated cohort was restricted to patients with 2 or more clinically obtained serum creatinine measurements, and baseline creatinine level may have been measured after the AKI episode. CONCLUSIONS AKI occurs in at least 5% of all noncritically ill hospitalized children, adolescents, and young adults without known CKD. Physicians should increase their awareness of AKI and improve surveillance strategies with serum creatinine measurements in this population so that exacerbating factors such as nephrotoxic medication exposures may be modified as indicated.
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Affiliation(s)
| | - Deborah P Jones
- Department of Pediatrics, Vanderbilt University, Nashville, TN
| | - Li Wang
- Department of Biostatistics, Vanderbilt University, Nashville, TN
| | - Ioana Danciu
- Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN
| | - Brian C Bridges
- Department of Pediatrics, Vanderbilt University, Nashville, TN
| | | | - Jana Shirey-Rice
- Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN
| | - Lixin Chen
- Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN
| | - Daniel W Byrne
- Department of Biostatistics, Vanderbilt University, Nashville, TN
| | - Sara L Van Driest
- Department of Pediatrics, Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University, Nashville, TN.
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Anantha RV, Jegatheswaran J, Pepe DL, Priestap F, Delport J, Haeryfar SM, McCormick JK, Mele T. Risk factors for mortality among patients with Staphylococcus aureus bacteremia: a single-centre retrospective cohort study. CMAJ Open 2014; 2:E352-9. [PMID: 25553328 PMCID: PMC4270209 DOI: 10.9778/cmajo.20140018] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Staphylococcus aureus bacteremia is associated with significant morbidity and mortality. Given the paucity of recent Canadian data, we estimated the mortality rate associated with S. aureus bacteremia in a tertiary care hospital and identified risk factors associated with mortality. METHODS We retrospectively reviewed the records of adults with S. aureus bacteremia admitted to a tertiary care centre in southwestern Ontario between 2008 and 2012. Cox regression analysis was used to evaluate associations between predictor variables and all-cause, in-hospital, and 90-day postdischarge mortality. RESULTS Of the 925 patients involved in the study, 196 (21.2%) died in hospital and 62 (6.7%) died within 90 days after discharge. Risk factors associated with in-hospital and all-cause mortality included age, sepsis (adjusted hazard ratio [adjusted HR] 1.49, 95% confidence interval [CI] 1.08-2.06, p = 0.02), admission to the intensive care unit (adjusted HR 3.78, 95% CI 2.85-5.02, p < 0.0001), hepatic failure (adjusted HR 3.36, 95% CI 1.91-5.90, p < 0.0001) and metastatic cancer (adjusted HR 2.58, 95% CI 1.77-3.75, p < 0.0001). Methicillin resistance, hepatic failure, cerebrovascular disease, chronic obstructive pulmonary disease and metastatic cancer were associated with postdischarge mortality. INTERPRETATION The all-cause mortality rate in our cohort was 27.9%. Identification of predictors of mortality may guide empiric therapy and provide prognostic clarity for patients with S. aureus bacteremia.
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Affiliation(s)
- Ram Venkatesh Anantha
- Division of General Surgery, Department of Surgery, Schulich School of Medicine and Dentistry, Western University, London, Ont
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ont
| | | | - Daniel Luke Pepe
- Schulich School of Medicine and Dentistry, Western University, London, Ont
| | - Fran Priestap
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ont
| | - Johan Delport
- Department of Pathology, Schulich School of Medicine and Dentistry, Western University, London, Ont
| | - S.M. Mansour Haeryfar
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ont
| | - John K. McCormick
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ont
| | - Tina Mele
- Division of General Surgery, Department of Surgery, Schulich School of Medicine and Dentistry, Western University, London, Ont
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ont
- Division of Critical Care Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ont
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