A systematic review and meta-analysis of acute kidney injury in the intensive care units of developed and developing countries
Authors:
Fernando de Assis Ferreira Melo aff001; Etienne Macedo aff002; Ana Caroline Fonseca Bezerra aff001; Walédya Araújo Lopes de Melo aff001; Ravindra L. Mehta aff002; Emmanuel de Almeida Burdmann aff003; Dirce Maria Trevisan Zanetta aff004
Authors place of work:
Division of Urology, Acre Federal University, Rio Branco, Acre, Brazil
aff001; Department of Medicine, University of California San Diego (UCSD), San Diego, California, United States of America
aff002; LIM 12, Division of Nephrology, University of São Paulo Medical School, São Paulo, São Paulo, Brazil
aff003; Department of Epidemiology, University of São Paulo School of Public Health, São Paulo, São Paulo, Brazil
aff004
Published in the journal:
PLoS ONE 15(1)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0226325
Summary
Objectives
Although the majority of the global population lives in developing countries, most of the epidemiological data related to intensive care unit (ICU) acute kidney injury (AKI) comes from developed countries. This systematic review aims to ascertain the methodology of studies on ICU AKI patients in developing and developed countries, to determine whether epidemiological comparisons between these two settings are possible, and to present a summary estimate of AKI incidence.
Methods
A systematic review of published studies reporting AKI in intensive care units (2005–2015) identified in PubMed, LILACS, and IBECs databases was conducted. We compared developed and developing countries by evaluating study methodology, AKI reference serum creatinine definitions, population characteristics, AKI incidence and mortality. AKI incidence was calculated with a random-effects model.
Results
Ninety-two studies were included, one of which reported data from both country categories: 60 from developed countries (1,057,332 patients) and 33 from developing countries (34,539 patients). In 78% of the studies, AKI was defined by the RIFLE, AKIN or KDIGO criteria. Oliguria had 11 different definitions and reference creatinine 23 different values. For the meta-analysis, 38 studies from developed and 18 from developing countries were selected, with similar AKI incidence: 39.3% and 35.1%, respectively. The need for dialysis, length of ICU stay and mortality were higher in developing countries.
Conclusion
Although patient characteristics and AKI incidence were similar in developed and developing countries, main outcomes were worse in developing country studies. There are significant caveats when comparing AKI epidemiology in developed and developing countries, including lack of standardization of reference serum creatinine, oliguria and the timeframe for AKI assessment. Larger, prospective, multicenter studies from developing countries are urgently needed to capture AKI data from the overall population without ICU access.
Keywords:
Hospitals – chronic obstructive pulmonary disease – Creatinine – cardiovascular diseases – Intensive care units – sepsis – Trauma surgery – diabetes mellitus
Introduction
Acute kidney injury (AKI) affects 20 to 50% of intensive care unit (ICU) patients, and it is associated with high mortality, increased ICU length of stay and greater hospitalization cost [1–5]. When renal replacement therapy (RRT) is used, mortality rates can reach up to 80% [2,6].
It is widely accepted that AKI characteristics are different in developed and developing countries due to contrasting socioeconomic patterns, government health expenditures, heath service infrastructure and AKI etiology [7].
Although the vast majority of the global population lives in developing countries, most of the epidemiological data from ICU patients with AKI comes from developed countries. Comparisons of these two different settings are scarce. A multicenter prospective study found higher mortality for ICU AKI patients in developing countries [8], which might be related to an inadequate number of ICU beds in relation to population size and the difficulty of health care access, among other reasons. To determine whether the outcomes in these populations are comparable, it is necessary to evaluate whether there are differences in patient characteristics as well as the methodological aspects among the analyzed studies.
This systematic review covers methodological aspects, including AKI and reference serum creatinine definitions, as well as the main characteristics and outcomes of ICU AKI patients from studies in developed and developing countries. We aim to determine whether epidemiological comparisons between these two country categories are appropriate with the available data and to estimate their AKI incidence using meta-analysis.
Material and methods
Database search
This systematic review was conducted using the recommendations of the “Cochrane Handbook for Systematic Reviews of Interventions” [9] (Fig 1). A systematic electronic search was performed to identify all original studies which might include acute kidney injury patients in intensive care units published from 2005 until 2015, including the keyword terms: “acute kidney injury”, “acute kidney failure”, “acute kidney insufficiency”, “acute renal injury”, “acute renal failure”, “acute renal insufficiency”, “intensive care units”, “critical ill patient and critical ill”. We accessed the PubMed, CENTRAL (Cochrane Controlled Register of Trials), LILACS (Latin American and Caribbean Health Sciences Library), and IBECs (Spanish Bibliographical Index of Health Sciences) databases. The search strategies for each database can be found in S1 File. This search was last updated on July 31, 2015, and the language was limited to English, Spanish, French, Italian and Portuguese. The manuscripts were manually analyzed in order to find additional references. There was no blinding in relation to the author, place of publication, or journal.
The studies were classified into two groups: those from developed and those from developing countries, and they were assigned group membership based on the United Nations classification.
Study selection
An initial eligibility screen of all retrieved titles and abstracts was conducted, and only studies reporting AKI in intensive care units in the 10-year surveyed period were selected for further review. Full-text papers were obtained for inspection of each study that potentially fulfilled the inclusion criteria on the basis of title and/or abstract. The following specific criteria were used for final selection: only studies with adult patients and those with reported epidemiological data. Duplicate articles were identified and eliminated using the Endnoteweb [10] software tool.
The final group of manuscripts was selected by the main author and reviewed by a coauthor. Discordances were solved by consensus using the predefined inclusion and exclusion criteria in accordance with the recommendations of the “Cochrane Handbook for Systematic Reviews of Interventions” [9]. When necessary, a final decision was achieved by consulting a third coauthor.
Data collection process
Two authors performed independent data extraction using standardized data extraction forms.
The following data were retrieved:
Research place and study description: country, study type, length of data collection, number of ICUs, type of ICU, number of patients.
AKI characteristics: incidence, definition, criteria used for definition, timeframe for AKI assessment, percentage of oliguric patients, oliguria definition, reference serum creatinine (SCr) defined as the value used for comparing increased SCr to establish the diagnosis of AKI.
AKI patient characteristics: mean age, gender ratio, previous comorbidities, patient source, severity of illness score.
Outcomes: length of ICU stay, length of hospital stay, frequency of RRT use, type of RRT, mortality.
Statistical analysis
The frequencies of studies were calculated by considering those that assessed the respective data. The number of studies used for each calculation is shown after the presented frequency.
Weighted means and percentages of reported data were estimated using the study population as weight.
The pooled point AKI incidence of developed and developing countries´ studies was estimated for studies that used the RIFLE, AKIN or KDIGO criteria for the AKI definition. All estimates and their 95% confidence intervals (95% CI) were calculated using a random-effects model for descriptive data analysis. Subgroup analyses were conducted with studies grouped by each different criterion for the utilized AKI definition. Heterogeneity and consistency were evaluated using Cochran’s Q and the I2 statistics, respectively. Funnel plots were used to evaluate publication bias. The analysis was performed in Microsoft Excel, using the step-by-step approach constructed by Neyeloff et al. [11] to analyze descriptive data. The pooled AKI incidence of both country groups were compared using the estimated 95% confidence interval.
Results
Of 2,459 potential studies, 1,635 were excluded because they did not assess patients, were duplicates, or had titles and abstracts that were not related to the purpose of this review. Of the remaining 824 studies, 17 were excluded for not meeting the language definitions and 714 were excluded as they did not meet the eligibility criteria. Ninety-two studies were included in the final analysis. One study [8] reported data from both developed and developing countries, and its data was reported in both country categories. As a result, the final analysis consisted of 60 studies presenting data from developed countries and 33 studies with data from developing countries (Fig 1 and Table 1). The 92 studies included in the final analysis can be found in S2 File.
Description of studies
Study design
In both developed and developing countries, the majority of studies were from university hospitals [91.6% (55/60) and 72.7% (24/33), respectively] (Tables 2 and 3).
The 92 studies report data from 1,091,871 patients. The number of patients from developed countries was 30 times higher; 1,057,332 vs. 34,539 patients in developed versus developing countries, respectively. Larger cohorts with more than 5,000 patients were more frequent in developed countries [33.3% (20/60)], whereas in developing countries, 87.8% (29/33) of the studies included less than 1,000 patients (Tables 2 and 3). The number of ICUs included in developed countries was significantly higher than in developing countries (990 vs. 86 ICUs). In fact, in developed countries, 41.6% of the studies (25/60) assessed more than five ICUs, while in developing countries, 81.8% of studies (27/33) assessed only one ICU. The majority of studies (82.7%, i.e., 77/93) evaluated patients from ICUs classified as "mixed" (Tables 2 and 3).
Definition of AKI
Both developed and developing country studies frequently used RIFLE, AKIN, KDIGO, as defined or modified (Fig 2). In developed countries, AKIN and RIFLE were the most frequently used criteria [37.9% (22/58) and 34.4%, (20/58), respectively], followed by increased SCr (24.1%, 14/58). In developing countries, RIFLE and AKIN were also more often applied [39.3% (13/33) and 33.3% (11/33), respectively], followed by KDIGO at 21.2% (7/33) (Tables 4 and 5). The majority of studies [73.2% (41/56) in developed countries and 78.1% (25/32) in developing countries] reported using both increases in SCr and decreases in urinary volume for the AKI diagnosis.
Oliguria definition
Although the oliguria criteria were reported in the majority of the studies, only 10% of developed and 21.2% of developing country studies reported the frequency of oliguric patients.
The oliguria definition was stated in 81.6% (49/60) of developed country studies and in 97% (32/33) of developing country studies. In five studies from developed countries and two from developing countries, the oliguria definition was not available in the manuscript and was obtained through contact with the researcher by electronic mail. In total, 11 different definitions for oliguria were used. The most frequent was “urinary volume < 0.5 ml/kg/h for 6 h”, which was found in 81.6% (40/49) of developed and in 68.7% (22/32) of developing country studies (Tables 4 and 5 and Fig 2).
Reference serum creatinine definition
The reference SCr definition was available in 68.3% (41/60) of studies in developed countries and 57.5% (19/33) in developing countries. In 12 studies from developed countries and 8 from developing countries, this information was not available in the manuscript, and it was obtained through contact with the researcher. We found 29 different definitions for reference SCr (Tables 4 and 5 and Fig 2), and there was no particular dominant definition.
Timeframe for AKI assessment
The timeframe for AKI diagnosis was available in 58.3% (35/60) of studies in developed countries and 69.6% (23/33) in developing countries. Among those reporting this information, the most used definition for timeframe was “until ICU discharge or death” found in 42.8% (15/35) of developed and in 39.1% (9/23) of developing country studies (Tables 4 and 5).
Incidence and AKI etiology
The incidence of AKI was reported in 91.3% (85/93) of the analyzed studies (Tables 4 and 5). Most studies of both developed (54.7%, 29/53) and developing countries (82.1%, 23/28) reported an AKI incidence up to 40%. According to different AKI definitions, AKI incidence varied from 2.1% [12] to 78.7% [13] in developed countries and from 0.5% [14] to 65% [15] in developing countries.
AKI etiology was described in 46.6% (28/60) of studies from developed countries and in 66.6% (22/33) of studies from developing countries. Sepsis and shock were the most common causes of AKI in both developed and developing countries (see Tables 6 and 7). The frequency of sepsis as the cause of AKI in developed countries ranged from 4.4% [13] to 100% [16], and half of the studies had frequencies greater than 40% (9/18). In developing countries, the frequency of sepsis as a cause of AKI ranged from 2.9% [17] to 100% [18], and 66.7% of the studies reported a frequency greater than 40% (12/18). In developed countries, shock was less frequently reported as a cause of AKI than in developing countries. Only one study reported tropical diseases (leptospirosis) as contributing to AKI etiology (Tables 6 and 7).
Patient characteristics
Age
Almost 40% (22/56) of the studies in developed countries described a mean age above 65 years in AKI patients (ranging from 37 [12] to 72 years [19]), while only 12.1% (4/33) of the studies in developing countries reported an age higher than 65 years in AKI patients (ranging from 26 [20] to 70 years [21]) (Tables 6 and 7). The weighted mean ages were 62.0 and 56.8 years for developed and developing country patients, respectively.
Gender and ethnicity
Male sex was predominant in AKI patients in both groups of countries: 59.6% (34/57) and 67.8% (19/28) of the studies in developed and developing countries, respectively, reported a male frequency above 60%. The weighted male frequencies were 67.1% and 64.5% for developed and developing country patients, respectively.
Only 9.5% (9) of the studies reported the patients’ ethnic background (Tables 6 and 7).
Comorbidities
Comorbidities were assessed in 51.6% (31/60) and 78.7% (26/33) of studies from developed and developing countries, respectively. The most prevalent comorbidities were cardiovascular diseases (CVD), diabetes and chronic respiratory disease.
In developed counties, a CVD frequency greater than 40% was reported in 51.6% (16/31), versus 30.4% (7/23) in developing countries. The weighted CVD frequencies were 41.3% and 32.6% for developed and developing country patients, respectively.
The frequency of diabetes was similar in both groups of countries. In approximately 60% (16/27 in studies of developed and 10/18 of developing countries) of studies, the prevalence of diabetes was over 20% in the studied population (Tables 6 and 7). The weighted diabetes frequencies were 27.3% and 24.5% for developed and developing country patients, respectively.
Severity scores
The most reported severity scores were APACHE II and SOFA. The Apache II score in AKI patients was reported in 32 and 18 studies from developed and developing countries, respectively. The APACHE II score had a similar distribution in the two groups of countries, ranging from 9 [22] to 56 [23] in developed country studies and from 10 [17] to 50 [24] in studies from developing countries. Approximately half of the studies had an APACHE II score up to 20 (16/32) in developed and in developing countries (9/18) (Tables 6 and 7). The weighted APACHE II scores were 18.7 and 21.0 for developed and developing country patients, respectively.
The SOFA score was reported in 21 and 10 studies from developed and developing countries, respectively. The distribution of the SOFA score was similar between groups, ranging from 3 [25] to 13.4 [26] in studies from developed countries and from 3 [27] to 9.8 [28] in developing country studies. In studies where this information was available, a SOFA score over 5 was reported by 71% (15/21) of studies from developed countries and 80% (8/10) of studies in developing countries (Tables 6 and 7). The weighted SOFA scores were 7.6 and 8.2 for developed and developing country patients, respectively.
Patient location before ICU
Most of the AKI patients who were admitted to the ICU came from surgical and clinical wards units. The majority of manuscripts from both developed countries (13/16) and developing countries (9/11) reported that up to 50% of patients with AKI had hospital admission in emergency situations (Tables 6 and 7).
Outcomes
Length of ICU and hospital stay
In developed and in developing countries, 71.6% (43/60) and 69.6% (23/33) of the studies reported the length of ICU stay for AKI patients, which ranged from 1 to 22 days and from 5 to 23 days, respectively. The reported ICU stay was longer than seven days in 38.6% (17/44) and 80% (20/25) of developed and developing country studies, respectively (Tables 8 and 9). The weighted mean ICU stay lengths were 7.2 and 12.2 days for developed and developing country patients, respectively.
In non-AKI patients, ICU stays longer than 7 days were not reported in developed country studies (0/24) but occurred in 44% (4/9) of studies in developing countries. In developed and developing country studies, 38.3% (23/60) and 21.2% (7/33) of the studies reported the length of hospital stay, which ranged from 8 to 31 days and 10 to 29 days, respectively. Hospital stays were longer than 15 days in 58.3% (14/24) and 66.7% (6/9) of developed and developing country studies, respectively (Tables 8 and 9). In non-AKI patients, the hospital stay was longer than 15 days in 25% (4/16) and 33.3% (1/3) in developed and in developing country studies, respectively. The weighted mean lengths of hospital stay were 15.5 and 23.6 days for developed and developing country patients, respectively.
Renal replacement therapy
Sixty-three percent of the analyzed studies reported the use of renal replacement therapy (RRT) in ICU AKI patients. In developed countries, 21% of the 38 studies with available data referred to the use of RRT in ICU AKI patients as being greater than 30%. In developing countries, 48% of the 21 studies with available data showed that the frequency of RRT use was higher than 30% in ICU AKI patients (Tables 8 and 9). The weighted frequencies of RRT were 8.8% and 23.8% for developed and developing country patients, respectively.
Mortality
Reported ICU mortality in AKI patients was greater in developing country studies. AKI mortality greater than 60% was reported in 15.9% (7/44) of studies from developed countries and 56% from developing countries (14/25) (Tables 8 and 9). The weighted frequencies of mortality were 30.8% and 54.8% for developed and developing country patients, respectively.
Synthesis of AKI incidence
Pooled AKI incidence estimates for developed and developing countries in the meta-analysis are presented in Table 10, according to the AKI definition used. The RIFLE, AKIN or KDIGO criteria for AKI definition was used, as defined, by 39 and 21 studies in developed and developing country studies, respectively. One study in developed countries and 3 in developing countries studies did not report AKI incidence, so 38 and 18 studies, respectively, had an AKI incidence estimation included in the meta-analysis. The pooled estimate of AKI incidence in developed and developing countries is shown in Fig 3. There was a tendency towards a greater incidence in developed countries, although this was not significant. When only prospective studies were analyzed, this tendency disappeared (Table 10).
Fig 4 shows the funnel plot for both country groups in which individual study frequency of AKI is a function of their sample size with the pooled incidence of studies that used the RIFLE, AKIN or KDIGO criteria for the AKI definition being depicted as a black line. Note that the Fig 4A (developed countries) had a 10-fold greater sample size than Fig 4B (developing countries). The studies with a greater sample size depart from the polled estimated AKI incidence, suggesting the possibility of publication bias or bias resulting from the lack of standardizing reference creatinine, oliguria, and the timeframe for AKI assessment.
Discussion
We found a high incidence of AKI in both country categories, and a tendency towards a greater incidence in developed countries. Due to the differences in AKI definitions, timeframe and the types of studied population, the reported incidence varied from 0.5% to 78%.
Our review covered a 10-year period. Thus, different AKI definitions were used for AKI assessment, including the RIFLE, AKIN and KDIGO criteria [29,30,31]. Only two-thirds of the studies reported the definition for reference serum creatinine, with 29 different definitions used, which results in high heterogeneity of AKI incidence estimate [32]. In the most recent AKI definitions (RIFLE, AKIN and KDIGO), the reference SCr is the value observed up to seven days or 48 hours before the SCr increase defining the AKI diagnosis. However, we observed that several studies used as reference SCr values obtained months, or even one year before the AKI episode, which is not consistent with the current AKI definitions. When the reference serum creatinine was not available, the MDRD formula has been used for estimation of the missing SCr value, which is a flawed methodology as it can misdiagnose AKI in CKD patients [12,33,34]. The oliguria definition was more uniform, with recent studies correctly using the RIFLE, AKIN and KDIGO oliguria definitions. The addition of urine output criteria was associated with higher and earlier AKI detection and incidences in critically ill patients [32].
Another important caveat to create a valid comparison between developed and developing countries is the striking differences in the number of studies and the sample sizes. Eighty per cent of the world population lives in developing countries, but only one-third of the studies sample reported data from them, with the majority assessing a single center with a relatively small number of patients [35]. Moreover, approximately half of the studies from developing countries were from Brazil, and only two were from Africa. On the other hand, approximately 40% of developed country studies assessed more than five centers. The sample size from developed countries studies was more than 30-fold greater compared to those from developing countries. There is a clear underrepresentation of developing countries that is probably caused by a lack of health resources and electronic medical records, as well as difficulty in gathering epidemiological data and, consequently, conducting adequate large observational studies. These studies can be more capable to determine the true burden of a disease than trials and more valuable in assessing the incidence and prevalence of the disease [36]. A snapshot of worldwide AKI incidence found more severe AKI presentation in patients from developing countries, which was considered to be due to delay in AKI recognition and treatment, adversely affecting the outcomes [7,37].
The incidence of AKI development in the ICUs was similar in both types of countries, with a numeric tendency to be greater in developed country studies. When only prospective studies were analysed, this tendency disappeared. Developing and developed countries have very distinct healthcare patterns. In developing countries, deficiencies in health structure, long distance from the community to the hospital and poor transportation systems limit patient access to healthcare. Lack of universal health coverage and insufficient funding for the health system imposes significant cost of treatment for the patients and family, including high cost procedures such as ICU and renal replacement therapy [38]. Tropical infectious diseases, animal venoms, natural medicine, abortion and eclampsia are known to be important AKI etiological factors in developing countries [39,40]; however, their incidence was extremely low in the ICU population. This is likely due to the limited number of ICUs, which are located mostly in larger urban cities, as well as inadequate recognition of high-risk AKI patients in the primary health system. Furthermore, difficulty transporting patients due to geographical and economic issues may contribute to this situation [39]. As a consequence, developing country’s ICUs reflect tertiary hospitals and university hospitals mostly from an urban population. Thus, patient characteristics were similar in both types of country. Sepsis and shock were the main causes of AKI in both developed and developing countries, but the frequency of sepsis was approximately 50% greater in developing country studies. In developed country studies, AKI patients were older, which likely reflects higher population longevity, better socioeconomic conditions and more structured health services. Overall, cardiovascular diseases were the most frequently reported comorbidity, although they were more frequent in developed country studies.
AKI was associated with poor outcomes, higher length of stay (LOS) and mortality, which is consistent with other studies [41,42]. In developing country studies, AKI had higher LOS and mortality compared to developed countries, although patients were younger, had less CVD and had similar APACHE II scores. Difficulty accessing health services [39,43] and lack of infrastructure, including ICU beds and human resources for care of the critically ill in these countries [44,45], are probably the cause of worse outcomes in such a low resource setting. It is possible that the patients treated in developing countries are transferred to an ICU at a late stage of disease progression and have a reduced change of recovering [45]. The finding of higher frequency RRT use in developing countries supports this hypothesis.
This systematic review highlighted important caveats for the comparison between ICU AKI epidemiology in developed and developing countries. The vast majority of studies assessed university tertiary hospitals, limiting the generalizability of the results. Different AKI definitions were used over time, and even when the new AKI criteria were used, there is an important lack of standardization for reference serum creatinine. Most of the studies from developing countries were single center. The number of patients and ICUs assessed in developed country studies was greater than 30-fold and 10-fold higher than in developing countries, respectively, highlighting the underrepresentation of developing countries.
Conclusion
AKI incidence was high in both types of countries. Patient characteristics were mostly similar, but outcomes were worse for patients in developing country studies. Despite patient´s similarities, the non-inclusion of secondary hospitals and the differences in the number of studies and sample sizes exemplify the challenge of comparing developing and developed country AKI epidemiology. The widespread application of AKI definitions has made it possible to compare AKI epidemiology across different settings. However, an effort to standardize reference serum creatinine, oliguria and the timeframe for AKI assessment is crucial. There is an urgent need for larger, prospective, multicenter studies that assess broader populations from developing countries.
Supporting information
S1 File [docx]
Supplementary material search strategies.
S2 File [docx]
Supplementary material syst review references.
S3 File [docx]
PRISMA checklist.
Zdroje
1. Magro MCDS Vattimo MDFF. Avaliação da função renal: creatinina e outros biomarcadores. Rev Bras Ter Intensiva. 2007;19: 182–185. 25310777
2. Schrier RW, Wang W, Poole B, Mitra A. Acute renal failure: definitions, diagnosis, pathogenesis, and therapy. J Clin Invest. 2004;114: 5–14. doi: 10.1172/JCI22353 15232604
3. Vieira JM, Castro I, Curvello-Neto A, Demarzo S, Caruso P, Pastore L, et al. Effect of acute kidney injury on weaning from mechanical ventilation in critically ill patients. Crit Care Med. 2007;35: 184–191. doi: 10.1097/01.CCM.0000249828.81705.65 17080002
4. Bouchard J, Soroko SB, Chertow GM, Himmelfarb J, Ikizler TA, Paganini EP, et al. Fluid accumulation, survival and recovery of kidney function in critically ill patients with acute kidney injury. Kidney Int. 2009;76: 422–427. doi: 10.1038/ki.2009.159 19436332
5. Fischer MJ, Brimhall BB, Lezotte DC, Glazner JE, Parikh CR. Uncomplicated acute renal failure and hospital resource utilization: a retrospective multicenter analysis. Am J Kidney Dis. 2005;46: 1049–1057. doi: 10.1053/j.ajkd.2005.09.006 16310570
6. Bellomo R, Kellum JA, Ronco C. Defining acute renal failure: physiological principles. Intensive Care Med. 2004;30: 33–37. doi: 10.1007/s00134-003-2078-3 14618231
7. Mehta RL, Burdmann EA, Cerda J, Feehally J, Finkelstein F, Garcia-Garcia G, et al. Recognition and management of acute kidney injury in the International Society of Nephrology 0by25 Global Snapshot: a multinational cross-sectional study. Lancet. 2016;387: 2017–2025. doi: 10.1016/S0140-6736(16)30240-9 27086173
8. Bouchard J, Acharya A, Cerda J, Maccariello ER, Madarasu RC, Tolwani AJ, et al. A prospective international multicenter study of AKI in the intensive care unit. Clin J Am Soc Nephrol. 2015;10: 1324–1331. doi: 10.2215/CJN.04360514 26195505
9. Higgins J, Green S. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011; 2011 [Internet]. Available from: www.cochrane-handbook.org [cited March 2015].
10. Thomson Reuters. Endnoteweb; 2016 [Internet]. Available from: http://endnote.com/ [cited March 2016].
11. Neyeloff JL, Fuchs SC, Moreira LB. Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis. BMC Res Notes. 2012;5: 52. doi: 10.1186/1756-0500-5-52 22264277
12. Wohlauer MV, Sauaia A, Moore E, Burlew C, Banerjee A, Johnson J. Acute kidney injury and posttrauma multiple organ failure: the canary in the coal mine. J Trauma Acute Care Surg. 2012;72: 373–378. doi: 10.1097/TA.0b013e318244869b 22327979
13. Han SS, Ahn SY, Ryu J, Baek SH, Chin HJ, Na KY, et al. Proteinuria and hematuria are associated with acute kidney injury and mortality in critically ill patients: a retrospective observational study. BMC Nephrol. 2014;15: 93. doi: 10.1186/1471-2369-15-93 24942179
14. Balushi F, Khan S, Riyami D, Ghilaini M, Farooqui M. Acute kidney injury in a teaching hospital in Oman. Saudi J Kidney Dis Transpl. 2011;22: 825–828. 21743243
15. Ralib AM, Nor MBM. Acute kidney injury in a Malaysian intensive care unit: assessment of incidence, risk factors, and outcome. J Crit Care. 2015;30: 636–642. doi: 10.1016/j.jcrc.2015.01.018 25701354
16. Vanmassenhove J, Lameire N, Dhondt A, Vanholder R, Van Biesen W. Prognostic robustness of serum creatinine based AKI definitions in patients with sepsis: a prospective cohort study. BMC Nephrol. 2015;16:112. doi: 10.1186/s12882-015-0107-4 26199072
17. Santos PR, Monteiro DLS. Acute kidney injury in an intensive care unit of a general hospital with emergency room specializing in trauma: an observational prospective study. BMC Nephrol. 2015;16: 30. doi: 10.1186/s12882-015-0026-4 25885883
18. Peng Q, Zhang L, Ai Y, Zhang L. Epidemiology of acute kidney injury in intensive care septic patients based on the KDIGO guidelines. Chin Med J (Engl). 2014;127:1820–6.
19. Andrikos E, Tseke P, Balafa O, Cruz DN, Tsinta A, Androulaki M, et al. Epidemiology of acute renal failure in ICUs: a multi-center prospective study. Blood Purif. 2009;28: 239–244. doi: 10.1159/000231986 19684390
20. Heegard KD, Stewart IJ, Cap AP, Sosnov JA, Kwan HK, Glass KR, et al. Early acute kidney injury in military casualties. J Trauma Acute Care Surg. 2015;78: 988–993. doi: 10.1097/TA.0000000000000607 25909420
21. Maccariello E, Valente C, Nogueira L, Bonomo H, Ismael M, Machado JE, et al. SAPS 3 scores at the start of renal replacement therapy predict mortality in critically ill patients with acute kidney injury. Kidney Int. 2010;77: 51–56. doi: 10.1038/ki.2009.385 19812539
22. Shinjo H, Sato W, Imai E, Kosugi T, Hayashi H, Nishimura K, et al. Comparison of kidney disease: improving global outcomes and acute kidney injury network criteria for assessing patients in intensive care units. Clin Exp Nephrol. 2014;18: 737–745. doi: 10.1007/s10157-013-0915-4 24282066
23. Hoste EA, Kellum JA. Acute kidney dysfunction and the critically ill. Minerva Anestesiol. 2006;72: 133–143. 16493389
24. Daher Ede F, Junior Silva GB, Vieira AP, Souza JB, Falcao Fdos S, Costa CR, et al. Acute kidney injury in a tropical country: a cohort study of 253 patients in an infectious diseases intensive care unit. Rev Soc Bras Med Trop. 2014;47: 86–89. doi: 10.1590/0037-8682-0223-2013 24603743
25. Joannidis M, Metnitz B, Bauer P, Schusterschitz N, Moreno R, Druml W, et al. Acute kidney injury in critically ill patients classified by AKIN versus RIFLE using the SAPS 3 database. Intensive Care Med. 2009;35: 1692–1702. doi: 10.1007/s00134-009-1530-4 19547955
26. Clark E, Wald R, Levin A, Bouchard J, Adhikari NK, Hladunewich M, et al. Timing the initiation of renal replacement therapy for acute kidney injury in Canadian intensive care units: a multicentre observational study. Can J Anaesth. 2012;59:861–70. doi: 10.1007/s12630-012-9750-4 22752716
27. Wahrhaftig Kde M, Correia LC, de Souza CA. RIFLE Classification: prospective analysis of the association with mortality in critical ill patients. J Bras Nefrol. 2012;34: 369–377. doi: 10.5935/0101-2800.20120027 23318826
28. Alves CMP, Barros MC, Figueiredo PVT. Different approaches in the detection of acute renal dysfunction in serious patients. Rev. Soc. Bras. Clín. Méd. 2012; 10(3).
29. Bellomo R, Ronco C, Kellum JA, et al. 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. Crit Care 2004; 8:R204–212 doi: 10.1186/cc2872 15312219
30. Mehta RL, Kellum JA, Shah SV, et al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 2007; 11: R31. doi: 10.1186/cc5713 17331245
31. KDIGO Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney inter., Suppl. 2012; 2: 1–138.
32. Koeze Koeze J17, Keus F, Dieperink W, van der Horst IC, Zijlstra JG, van Meurs M. Incidence, timing and outcome of AKI in critically ill patients varies with the definition used and the addition of urine output criteria. BMC Nephrol. 2017 Feb 20;18(1):70) doi: 10.1186/s12882-017-0487-8 28219327
33. Siev Siew ED15, Matheny ME. Choice of Reference Serum Creatinine in Defining Acute Kidney Injury. Nephron. 2015;131(2):107–12 doi: 10.1159/000439144 26332325
34. Pickering JW, Endre ZH. Back-calculating baseline creatinine with MDRD misclassifies acute kidney injury in the intensive care unit. Clin J Am Soc Nephrol. 2010;5: 1165–1173. doi: 10.2215/CJN.08531109 20498242
35. Cerda J, Lameire N, Eggers P, Pannu N, Uchino S, Wang H, et al. Epidemiology of acute kidney injury. Clin J Am Soc Nephrol. 2008;3: 881–886. doi: 10.2215/CJN.04961107 18216347
36. Sawhney S, Fraser SD. Epidemiology of AKI: Utilizing Large Databases to Determine the Burden of AKI. Adv Chronic Kidney Dis. 2017;24:194–204. doi: 10.1053/j.ackd.2017.05.001 28778358
37. Hoste EAJ, Kellum JA, Selby NM, Zarbock A, Palevsky PM, Bagshaw SM, et al. Global epidemiology and outcomes of acute kidney injury. Nat Rev Nephrol. 2018;14(10):607–625. doi: 10.1038/s41581-018-0052-0 30135570
38. Bello AK, Alrukhaimi M, Ashuntantang GE, Bellorin-Font E, Benghanem Gharbi M, Braam B, et al. Global overview of health systems oversight and financing for kidney care. Kidney Int Suppl (2011). 2018;8(2):41–51
39. Mehta RL, Cerda J, Burdmann EA, Tonelli M, Garcia-Garcia G, Jha V, et al. International Society of Nephrology's 0by25 initiative for acute kidney injury (zero preventable deaths by 2025): a human rights case for nephrology. Lancet. 2015;385: 2616–2643. doi: 10.1016/S0140-6736(15)60126-X 25777661
40. Burdmann EA, Jha V. Acute kidney injury due to tropical infectious diseases and animal venoms: a tale of 2 continents. Kidney Int. 2017;91: 1033–1046. doi: 10.1016/j.kint.2016.09.051 28088326
41. Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16: 3365–3370. doi: 10.1681/ASN.2004090740 16177006
42. Dasta JF, Kane-Gill SL, Durtschi AJ, Pathak DS, Kellum JA. Costs and outcomes of acute kidney injury (AKI) following cardiac surgery. Nephrol Dial Transplant. 2008;23: 1970–1974. doi: 10.1093/ndt/gfm908 18178605
43. Lombardi R, Rosa-Diez G, Ferreiro A, Greloni G, Yu L, Younes-Ibrahim M, et al. Acute kidney injury in Latin America: a view on renal replacement therapy resources. Nephrol Dial Transplant. 2014;29: 1369–1376. doi: 10.1093/ndt/gfu078 24744281
44. Prin M, Wunsch H. International comparisons of intensive care: informing outcomes and improving standards. Curr Opin Crit Care. 2012;18: 700–706. doi: 10.1097/MCC.0b013e32835914d5 22954664
45. Robert R, Reignier J, Tournoux-Facon C, Boulain T, Lesieur O, Gissot V, et al. Refusal of intensive care unit admission due to a full unit: impact on mortality. Am J Respir Crit Care Med. 2012;185: 1081–1087. doi: 10.1164/rccm.201104-0729OC 22345582
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