Skip to main content

Prognosis for long-term survival and renal recovery in critically ill patients with severe acute renal failure: a population-based study



Severe acute renal failure (sARF) is associated with considerable morbidity, mortality and use of healthcare resources; however, its precise epidemiology and long-term outcomes have not been well described in a non-specified population.


Population-based surveillance was conducted among all adult residents of the Calgary Health Region (population 1 million) admitted to multidisciplinary and cardiovascular surgical intensive care units between May 1 1999 and April 30 2002. Clinical records were reviewed and outcome at 1 year was assessed.


sARF occurred in 240 patients (11.0 per 100,000 population/year). Rates were highest in males and older patients (≥65 years of age). Risk factors for development of sARF included previous heart disease, stroke, pulmonary disease, diabetes mellitus, cancer, connective tissue disease, chronic renal dysfunction, and alcoholism. The annual mortality rate was 7.3 per 100,000 population with rates highest in males and those ≥65 years. The 28-day, 90-day, and 1-year case-fatality rates were 51%, 60%, and 64%, respectively. Increased Charlson co-morbidity index, presence of liver disease, higher APACHE II score, septic shock, and need for continuous renal replacement therapy were independently associated with death at 1 year. Renal recovery occurred in 78% (68/87) of survivors at 1 year.


sARF is common and males, older patients, and those with underlying medical conditions are at greatest risk. Although the majority of patients with sARF will die, most survivors will become independent from renal replacement therapy within a year.


Severe acute renal failure (sARF) in the critically ill patient is associated with high rates of morbidity, mortality, and consumption of healthcare resources [16]. Population-based studies conducted in Australia and Europe have estimated the annual incidence of sARF at 4.2 to 13.4 per 100,000 population; however, these studies were not designed to assess risk factors, long-term survival and renal recovery outcomes [5, 79]. Although several hospital-based cohort studies have suggested that several factors, including increasing age, sepsis syndrome, and cardiovascular or pulmonary organ failure, increase the risk for developing sARF, these studies potentially suffer from selection bias, and no study to date has been adequately designed to determine actual risk factors in a non-specific general population [2, 1013]. Population-based studies have identified in-hospital case-fatality rates for sARF ranging between 45% and 70% [5, 79]. Although renal recovery is reported to occur in many patients surviving sARF, this rate is not well described because of inadequate duration or consistency of follow-up [312, 1421]. As a result, the long-term survival and renal recovery outcomes for sARF are currently unknown.

An understanding of the epidemiology of sARF is important to establish its overall burden and risk factors for development and for surveillance or devising potential preventive strategies. Furthermore, knowledge of the outcome of sARF is important to aid clinicians, patients, and their families in decision-making regarding patient management choices in the intensive care unit (ICU). The objectives of this study were, therefore, to define the incidence of and quantify the risk factors for developing sARF, and to establish the long-term outcome and its determinants in a large well-defined population.

Materials and methods

Patient population

The Calgary Health Region (CHR) provides virtually all hospital care to the residents of the cities of Calgary and Airdrie and approximately 20 nearby towns and villages (2001 adult population 728,207) [22]. Adult critically ill patients in the CHR are managed in closed ICUs by dedicated intensivists under the direction of the Department of Critical Care Medicine, University of Calgary and the CHR. The study population consisted of all adult (≥18 years) residents of the CHR admitted to any of the three multidisciplinary ICUs or the cardiovascular surgery ICU from May 1 1999 to April 30 2002. The study protocol was approved by the Conjoint Health Research Ethics Board at the University of Calgary and CHR prior to commencement.

Study protocol

The study used a population-based surveillance cohort design. The ICU Tracer database, a clinical research and departmental support database that prospectively and routinely records data on all patients admitted to adult ICUs in the CHR was used to identify patients with sARF among all admissions to the study ICUs. The ICU Tracer database collected detailed clinical and physiologic data for all sARF patients on the dates of admission and initiation of renal replacement therapy (RRT). A trained research nurse and physician reviewed hospital medical records to obtain detailed clinical information using standardized data forms for all patients identified with sARF. Potential factors contributing to the development of sARF were considered if identified within 10 days preceding initiation of RRT.

Study definitions

sARF was defined as the new requirement for RRT with evidence of renal dysfunction (serum creatinine ≥ 150 μmol/l) at the time of or during ICU admission [8, 9]. Those patients that received RRT for any indication in the absence of renal dysfunction (i.e. toxin ingestion/overdose) or patients with end-stage renal disease already receiving chronic RRT or patients having their first RRT >48 h prior to ICU admission were excluded. Renal replacement therapy in the ICU encompassed continuous renal replacement therapy (CRRT) and/or intermittent hemodialysis (IHD). No patient received RRT in the form of peritoneal dialysis while admitted to ICU. The decision for initiation of RRT was made at the discretion of the attending intensivist. A regional protocol has been implemented to guide in the initial RRT prescription and method of anticoagulation for CRRT as previously described [23]. IHD was prescribed in consultation with the CHR clinical nephrology service. Chronic renal dysfunction was defined as a pre-existing serum creatinine ≥150 μmol/l for at least six months prior to ICU admission. Oliguria was defined as the production of <500 ml of urine in the 24 h preceding assessment. The definitions by Liano et al. [7] and clinical sensibility were used for classification of etiologies of sARF and characterization of indications for RRT upon review of available patient medial record data immediately preceding initiation of RRT. Pre-renal etiology was defined as directed therapy (i.e. volume repletion and/or increased cardiac output) being successful in improving and/or correcting renal function. Intra-renal etiology of sARF was defined when renal function failed to improve after correction for possible pre-renal etiologies and exclusion of hepatorenal syndrome and post-renal etiologies. Intra-renal etiology was further classified into acute tubular necrosis, acute glomerulo-nephritis, acute tubulo-interstitial nephritis or vascular etiology based on the presence of predisposing factors, histological evidence, serum or urinary markers and/or high clinical suspicion [7]. A study physician (SMB) reviewed all abstracted data forms prior to entry into the study database in order to ensure consistency of application of study definitions and diagnoses.

Severity of illness at ICU admission was assessed using the Acute Physiology and Chronic Health Evaluation (APACHE) II score [24]. The presence and evaluation of selected pre-existing co-morbidities was assessed using the Charlson Co-morbidity Index [25]. Shock preceding or at the time of initiation of RRT was defined as mean arterial pressure <70 mmHg and need for vasopressor therapy. The presence of sepsis, septic shock, and acute respiratory distress syndrome preceding or at the time of the initiation of RRT was defined according to consensus guidelines [26, 27].

Data sources

The size and demographic profile of the CHR adult population at risk during 1999 to 2002 were obtained by using population data from the Alberta Health Registry [22]. The prevalence of selected underlying chronic illnesses was estimated based on Canadian survey data [28, 29], with the exception of the prevalence of chronic kidney disease, which was determined by United States survey data [30]. Long-term renal outcome and RRT dependence status was determined from the Southern Alberta Renal Program database that maintains information on all patients in southern Alberta on RRT [31]. The long-term mortality outcome status was obtained through linkage of the Death Registration Database maintained by Alberta Vital Statistics and the Alberta Health and Wellness registry. Alberta Health and Wellness maintains information on all residents of Alberta eligible for publicly funded healthcare coverage (>99% of the population is included in this registry). The use of both information systems ensured completeness of the linkage process. Data were exported from the source databases and linked using Access 2003 (Microsoft Corporation, Redmond, WA, USA).

Statistical analysis

Analysis was performed using Stata version 8.2 (Stata Corporation, College Station, TX, USA). To avoid assessment of multiple outcomes for a single patient, only the first ICU presentation associated with sARF was analyzed for patients with multiple ICU admissions. Normally or near normally distributed variables were reported as means with standard deviations (SDs) and compared using Student's t-test. Non-normally distributed continuous data were reported as medians with inter-quartile ranges (IQRs) and compared using the Mann Whitney U test. Categorical data are compared using Fisher's Exact Test. Population-based incidence rates were calculated and reported as relative risks (RRs) with exact 95% confidence intervals (CIs) [32]. A multivariable logistic regression model was developed to assess factors in patients with sARF associated with mortality at 1 year. The initial model included selected variables known to potentially confound and/or modify the association of sARF and death at 1 year, including age, sex, Charlson co-morbidity index, APACHE II score, and admission type (medical versus surgical). The second model added variables to the first model if found to be significant at the p < 0.1 level in univariate analysis. Sequential elimination of variables was performed by the likelihood ratio method to develop the final parsimonious model. Appropriate diagnostic tests to ensure no violation of mathematical assumptions were performed. Model calibration and discrimination were assessed using the Hosmer-Lemeshow goodness-of-fit test (degrees of freedom (8)) and the area under the receiver operator characteristic (AuROC) curve, respectively. Results are reported as odds ratios (ORs) with 95% CI. The rate of renal recovery among patients surviving sARF was determined at 1-year follow-up and expressed as a proportion.


During the study period, 5,693 adult residents of the CHR had 6,762 admissions to a CHR ICU. Of these, 62% were male, the median (IQR) age was 64.9 (50.6 to 74.5) years and mean (±SD) APACHE II score was 24.9 ± 8.7 points at ICU admission. A total of 343 (6%) patients received RRT at least once during an ICU admission, of which 103 (1.8%) were excluded: 92 (1.6%) for outpatient chronic RRT, 6 for RRT in an ICU without critical illness and 5 received RRT for toxin removal in the absence of renal disfunction. Therefore, 240 (4.2%) patients were diagnosed with sARF for an overall annual incidence of 11.0 per 100,000 population. The incidence of sARF was stable over the three years of the study.

Population-based risk factors and mortality for severe acute renal failure

The annual incidence rate of sARF was higher in males compared to females (13.0 versus 9.1 per 100,000 population; RR 1.4; 95% CI, 1.1–1.9, p = 0.006). This relationship was more pronounced for those ≥65 years old with higher risk in males (70.0 versus 31.9 per 100,000 population; RR 2.2; 95% CI, 1.5–3.2, p < 0.0001) compared with no significant difference in risk between sexes for those <65 years old (6.4 versus 5.5 per 100,000 population; RR 1.2; 95% CI, 0.8–1.7, p = 0.44) (Figure 1).

Figure 1

Age and sex-specific incidence rates of severe acute renal failure among adult residents admitted to a Calgary Health Region intensive care unit.

Several groups were identified in the adult CHR general population as being at significantly higher risk for development of sARF, with patients with heart disease, stroke, and chronic lung disease at highest risk (Table 1).

Table 1 Risk of sARF associated with selected co-morbidities among adult residents of the Calgary Health Region, Canada

The population-based annual mortality rate associated with sARF was 7.3 deaths per 100,000 population. There was a trend toward a higher annual mortality rate in males compared with females (8.2 versus 6.3 per 100,000 population; RR 1.3; 95% CI, 0.9–1.8, p = 0.1); however, when further stratified by age ≥65 years, the annual mortality rate was significantly higher for males compared with females (47.5 versus 23.1 per 100,000 population; RR 2.1; 95% CI, 1.3–3.3, p < 0.001). There was no significant difference in mortality risk between sexes for age <65 years (3.6 versus 3.7 per 100,000 population; RR 0.99; 95% CI, 0.6–1.6, p = 0.96) (Figure 2).

Figure 2

Age and sex-specific mortality rates of severe acute renal failure among adult residents admitted to a Calgary Health Region intensive care unit.

Clinical features and management

The majority (166/240, 69%) of diagnoses of sARF occurred within two days of ICU admission. The median (IQR) time to diagnosis of sARF was 4 (1 to 10.5) days after hospital admission and 1 (0 to 3) day after ICU admission. Among the 240 patients with sARF, 203 (85%) had intra-renal, 36 (15%) pre-renal, and one had a post-renal etiology (0.4%) (Table 2). Of the 203 patients with an intra-renal etiology, 180 (75%) had acute tubular necrosis, and 33 (14%) had vascular, 12 (5%) glomerular, and 9 (4%) interstitial etiologies. Toxic exposures included parenteral radiocontrast media in 107 (45%), aminoglycosides in 47 (20%) and amphotericin B in 10 (4%). The indications for institution of RRT were diuretic-resistant fluid overload in 178 (74%), metabolic acidosis in 87 (36%), uremia in 68 (28%), hyperkalemia in 59 (25%), and toxins in 4 (2%).

Table 2 Summary description of clinical features of patients by etiology of sARF

The modality of renal replacement in the ICU was exclusively CRRT in 147, exclusively IHD in 48, and some combination of regimens using both CRRT and IHD in 45 patients. A total of 941 and 343 patient-days of CRRT and IHD were performed, respectively. The median overall duration of RRT in the ICU was 3 (IQR; 1 to 9) days.

The overall median (IQR) ICU and hospital length of stay was 8.1 (3.4 to 16) and 22 (9 to 40) days, respectively. Of those who survived to hospital discharge, the median (IQR) ICU and hospital length of stay was 8.4 (3.6 to 19) and 37 (22 to 62) days, respectively.

Long-term outcomes of severe acute renal failure

Among the 240 patients with sARF, 50% (n = 120) died during their ICU admission and 60% (n = 143) died prior to hospital discharge. The 28-day, 90-day, and 1-year case-fatality rates were 51% (n = 123), 60% (n = 143), and 64% (n = 153), respectively. Several categorical and continuous factors were associated with death at 1-year in univariate analysis, as shown in Tables 3 and 4. Factors not significantly associated with death at 1 year included sex, oliguria, etiology of sARF, or indication for RRT. A multivariable logistic regression model was developed to assess for independent factors associated with death at 1 year for patients with sARF and model variables are presented in Table 5. The model calibration and fit was excellent with an AuROC curve of 0.83 and a Hosmer-Lemeshow goodness-of-fit test (degrees of freedom (8)) result of p = 0.78.

Table 3 Univariate analysis of categorical factors associated with death at 1 year among sARF patients
Table 4 Univariate analysis of continuous factors associated with death at 1 year among sARF patients
Table 5 Logistic regression model of independent factors for 1 year mortality in patients with sARF

Of patients with sARF who survived, 38% (46/120) and 68% (66/97) had recovered renal function to become RRT independent at ICU and hospital discharge, respectively. The rates of renal recovery in survivors at 28 and 90 days were 55% (64/117) and 71% (69/97), respectively. Of the 87 patients with sARF who survived to at least 1 year following admission to ICU, 78% (68/87) became independent of RRT after a median (IQR) duration of 11 (3 to 20) days while the remainder received chronic RRT. Of those requiring chronic RRT, 63% (12/19) had pre-existing chronic renal disfunction with a median (IQR) pre-admission serum creatinine of 232 (170 to 323) μmol/l. Thus, at 1 year following the diagnosis of sARF, only 28% (68/240) were alive and free of RRT. Compared to those that remained on chronic RRT, patients that recovered renal function were more likely to be male, non-diabetic, have a lower Charlson co-morbidity score, with a diagnosis of acute tubular necrosis and sepsis or septic shock.


This study describes the incidence and long-term mortality rates for critically ill patients with a diagnosis of sARF and the prognosis for long-term renal recovery in a well-defined non-specified population. The annual incidence of sARF in our well-defined population of 11.0 per 100,000 population per year is similar to previous studies from two other continents, 8.0 to 13.4 per 100,000 in Australia and 4.2 to 8.0 per 100,000 in Europe, respectively [5, 79]. However, two of these studies are potentially prone to selection bias due to failure in clearly defining the geographic boundaries and classification of residency status of the study referral population for which the incidence of sARF was determined [8, 33, 34], and all these studies are limited as none were able to assess for risk factors, long-term survival or long-term renal recovery prognosis [8, 9, 33]. Recently, the multi-centre BEST study reported an estimated prevalence for ARF of 5.7% defined by the presence of oliguria and/or azotemia and 4.2% for sARF from 54 ICUs in 23 countries [21]. While the BEST study is the largest, most comprehensive completed to date and demonstrates a similar occurrence of sARF and in-hospital mortality with our study, it remains prone to selection bias and provided no long-term follow-up. Morgera et al. reported survival in a cohort of critically ill patients with sARF of 77% and 50% at 6 months and 5 years, respectively; however, this study is potentially prone to selection and information bias due to inclusion of patients receiving only CRRT and incomplete ascertainment of long-term survival status for the entire cohort [6]. This was unlikely to be a major source of bias in the present study because in the CHR, all critical care services are provided by ICUs included within this surveillance and the CHR is geographically isolated as a single provider of healthcare. Although we could have potentially missed sARF cases that developed in CHR residents while receiving medical attention not available in the CHR (i.e. cardiac, lung or liver transplantation) or while traveling abroad. Likewise, we could have potentially excluded sARF patients with peak serum creatinine <150 μmol/l, resulting in an under-estimation of the incidence of sARF. However, these sources of error, if present, are likely to be small and insignificant. Therefore, this study further establishes the major burden of disease in terms of occurrence, long-term mortality and renal prognosis attributable to sARF in a non-specified population.

Recent consensus recommendations for defining and categorizing acute renal failure have been presented; however, they have not yet been prospectively validated with long-term clinical outcomes such as mortality or renal recovery at 1 year [35]. This was published after completion of our study; thus, we used as our primary case-definition, acute renal failure severe enough, in the opinion of the treating intensivist, to warrant the initiation of RRT. This definition was selected because the initiation of RRT in critically ill patients has clinical relevance both in terms of severity of illness and for utilization of resources. Thus, a diagnosis of sARF and institution of RRT represents a considerable escalation in patient management. Further, we selected sARF due to simplicity in potentially generalizing our results across similar multi-disciplinary critically ill populations. One potential limitation of this case-definition is defining what factors contribute to the decision by the attending intensivist to initiate RRT, rather than specific indications for RRT. This was not addressed in our study and has yet to be prospectively studied. Another consideration is that, in general, there is likely to be heterogeneity across ICUs regarding who prescribes RRT (i.e. intensivist or nephrologist); however, in this regional critical care system, the decision to initiate RRT was made by the attending intensivist only.

A novel aspect of this study was that several selected underlying conditions were determined to be associated with an increased risk for development of sARF. While previous investigators have suggested that several factors, most notably increasing age, pre-existing renal insufficiency, co-morbid liver or cardiac disease, cancer, sepsis, and greater severity of illness are potential risk factors for sARF, no previous studies were designed to determine and quantify risk in a general population [2, 1013]. Although these estimates provide unbiased univariate population-based risk factors for development of sARF, one potential limitation is the complexity in interpretation without adjustment for potential confounders or effect modifiers. However, our study has shown that critically ill patients who were older, male, and have underlying co-morbid illnesses were at higher risk for developing sARF and may represent a future target population for surveillance, earlier intervention or preventive strategies.

Most studies of sARF in the critically ill population have focused on mortality and renal recovery at ICU and hospital discharge, therefore viewing sARF as an acute and short-term illness [35, 8, 9, 11, 18, 21, 36]. Assessment of outcomes at these points may underestimate the burden of disease attributable to sARF. Our data indicate that critically ill patients with sARF may remain ill with an increased risk for death for a duration greater than the total ICU or hospital length of stay. This has been similarly shown with sepsis and septic shock, where patients exhibit an increased risk of death following discharge from hospital [3739]. Therefore, clearly defined long-term outcomes as demonstrated in our study, such as case-fatality at 1 year of 64% and rate of renal recovery in survivors of 78%, provide a more informative description of the morbidity and mortality attributable to sARF. Furthermore, the assessment of long-term outcome is important given the high cost associated with RRT in the ICU and continuing chronic RRT [1, 4, 5]. Likewise, independence from RRT is associated with improved overall quality of life and functional status [1]. Dependence on RRT at hospital discharge and at 90 days has been estimated to occur in 5% to 33% and 16% of patients, respectively [35, 8, 9, 11, 18, 21, 36, 40]; however, this does not necessarily translate into long-term RRT dependence. Although the overall rate of dependence on RRT at hospital discharge in our study was comparably higher than other population-based studies, only 8% overall or 22% of survivors at 1 year remained on chronic RRT, an assessment duration more likely associated with permanent need for chronic RRT.

We identified five factors independently associated with death at 1 year (Table 5). Although the presence of co-morbid liver disease, higher admission APACHE II score, septic shock, and use of CRRT have been previously suggested, these studies are potentially biased due to the aforementioned limitations in assessment of mortality at ICU or hospital discharge [2, 3, 10, 1214, 1618, 21, 41, 42]. An important variable included in this study not previously reported is the contribution of the Charlson co-morbidity index to the overall risk of death [25]. Previous hospital-based studies have included previous health status as an independent risk for death; however, this was generally assessed by use of the chronic health points component of the APACHE II score or the McCabe scale [10, 16, 41]

The need for CRRT was independently associated with death in our study after controlling for the confounding effects of co-morbid illness and disease severity. This is plausible considering that in our clinical practice CRRT is utilized in more unstable patients with great burden of illness, and a poorer expected outcome. Although similarly reported by Chertow et al. [3], this would appear to contradict several randomized studies suggesting no difference in mortality outcome between CRRT and IHD; however, these studies have methodological concerns, including failure of randomization, inadequate power to assess clinically meaningful differences in primary outcome and, importantly, did not assess the independent effect of dialysis modality on long-term outcomes such as mortality or renal recovery at 1 year [4347].

In contrast to previous hospital-based studies and our pre-analysis prediction, none of older age, presence of pre-existing renal disease, need for mechanical ventilation or oliguria were independently associated with death [2, 3, 10, 1214, 16, 17, 41, 48].

The apparent lack of association of chronic renal insufficiency with death at 1 year in our study would appear counterintuitive considering the association of death and co-morbid illness. However, the presence of pre-existing renal disease in these patients likely afforded greater susceptibility to overt renal injury prompting RRT. Although not associated with death, sARF in patients with co-morbid renal disease may represent a cohort less likely to recover renal function and subsequently require chronic RRT as suggested by our study.


We describe the first population-based study of sARF that documents the major burden of disease in terms of incidence, long-term mortality and prognosis of renal recovery in critically ill patients. Furthermore, our study identifies and quantifies the risk factors for acquisition of sARF and may serve as a rationale for surveillance or targeting preventive measures. Although we report that the case-fatality during the acute phase of sARF is very high, our data support that survivors of sARF have an excellent prognosis for long-term renal recovery. We believe this study represents an important contribution for physicians, patients, and their families and has the potential to greatly impact the care of critically ill patients by aiding in and providing well-informed overall management decisions.

Key messages

  • sARF is common in critically ill patients and males, older patients and those with pre-existing co-morbidities are at highest risk.

  • A diagnosis of sARF is associated with high mortality and pre-existing co-morbidities, liver disease, higher APACHE II score upon ICU admission, septic shock and need for continuous renal replacement therapy are independently associated with long-term mortality.

  • In those patients with severe acute renal failure who survive an episode of critical illness, the majority will recover renal function and become independent of renal replacement therapy by 1 year.



Acute Physiology and Chronic Health Evaluation


area under the receiver operator characteristic


Calgary Health Region


confidence interval


continuous renal replacement therapy


intensive care unit


intermittent hemodialysis


interquartile range


relative risk


renal replacement therapy


severe acute renal failure


standard deviation.


  1. 1.

    Hamel M, Phillips R, Davis R, Desbiens N, Connors A, Teno J: Outcomes and cost-effectiveness of initiating dialysis and continuing aggressive care in seriously ill hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med 1997, 127: 195-202.

    Article  CAS  PubMed  Google Scholar 

  2. 2.

    de Mendonça A, Vincent JL, Suter PM, Moreno R, Dearden NM, Antonelli M, Takala J, Sprung C, Cantraine F: Acute renal failure in the ICU: risk factors and outcome evaluated by the SOFA score. Intensive Care Med 2000, 26: 915-921. 10.1007/s001340051281

    Article  PubMed  Google Scholar 

  3. 3.

    Chertow GM, Christiansen CL, Cleary PD, Munro C, Lazarus JM: Prognostic stratification in critically ill patients with acute renal failure requiring dialysis. Arch Intern Med 1995, 155: 1505-1511. 10.1001/archinte.155.14.1505

    Article  CAS  PubMed  Google Scholar 

  4. 4.

    Manns B, Doig CJ, Lee H, Dean S, Tonelli M, Johnson D, Donaldson C: Cost of acute renal failure requiring dialysis in the intensive care unit: Clinical and resource implications of renal recovery. Crit Care Med 2003, 31: 449-455. 10.1097/01.CCM.0000045182.90302.B3

    Article  PubMed  Google Scholar 

  5. 5.

    Korkeila M, Ruokonen E, Takala J: Costs of care, long-term prognosis and quality of life in patients requiring renal replacement therapy during intensive care. Intensive Care Med 2000, 26: 1824-1831. 10.1007/s001340000726

    Article  CAS  PubMed  Google Scholar 

  6. 6.

    Morgera S, Kraft AK, Siebert G, Luft FC, Neumayer HH: Long-term outcomes in acute renal failure patients treated with continuous renal replacement therapies. Am J Kidney Dis 2002, 40: 275-279. 10.1053/ajkd.2002.34505

    Article  PubMed  Google Scholar 

  7. 7.

    Liano F, Pascual J: Epidemiology of acute renal failure: a prospective, multicenter, community-based study. Madrid Acute Renal Failure Study Group. Kidney Int 1996, 50: 811-818.

    Article  CAS  PubMed  Google Scholar 

  8. 8.

    Cole L, Bellomo R, Silvester W, Reeves JH: A prospective, multicenter study of the epidemiology, management, and outcome of severe acute renal failure in a "closed" ICU system. Am J Respir Crit Care Med 2000, 162: 191-196.

    Article  CAS  PubMed  Google Scholar 

  9. 9.

    Silvester W, Bellomo R, Cole L: Epidemiology, management, and outcome of severe acute renal failure of critical illness in Australia. Crit Care Med 2001, 29: 1910-1915. 10.1097/00003246-200110000-00010

    Article  CAS  PubMed  Google Scholar 

  10. 10.

    Groeneveld AB, Tran DD, van der Meulen J, Nauta JJ, Thijs JG: Acute renal failure in the medical intensive care unit: predisposing, complicating factors and outcome. Nephron 1991, 59: 602-610.

    Article  CAS  PubMed  Google Scholar 

  11. 11.

    Spurney RF, Fulkerson WJ, Schwab SJ: Acute renal failure in critically ill patients: prognosis for recovery of kidney function after prolonged dialysis support. Crit Care Med 1991, 19: 8-11.

    Article  CAS  PubMed  Google Scholar 

  12. 12.

    Spiegel DM, Ullian ME, Zerbe GO, Berl T: Determinants of survival and recovery in acute renal failure patients dialyzed in intensive-care units. Am J Nephrol 1991, 11: 44-47.

    Article  CAS  PubMed  Google Scholar 

  13. 13.

    Schwilk B, Wiedeck H, Stein B, Reinelt H, Treiber H, Bothner U: Epidemiology of acute renal failure and outcome of haemodiafiltration in intensive care. Intensive Care Med 1997, 23: 1204-1211. 10.1007/s001340050487

    Article  CAS  PubMed  Google Scholar 

  14. 14.

    Metnitz PG, Krenn CG, Steltzer H, Lang T, Ploder J, Lenz K, Le Gall JR, Druml W: Effect of acute renal failure requiring renal replacement therapy on outcome in critically ill patients. Crit Care Med 2002, 30: 2051-2058. 10.1097/00003246-200209000-00016

    Article  PubMed  Google Scholar 

  15. 15.

    Sural S, Sharma RK, Singhal MK, Kher V, Gupta A, Arora P, Gulati S: Acute renal failure in an intensive care unit in India – prognostic factors and outcome. J Nephrol 1999, 12: 390-394.

    CAS  PubMed  Google Scholar 

  16. 16.

    Brivet FG, Kleinknecht DJ, Loirat P, Landais PJ: Acute renal failure in intensive care units – causes, outcome, and prognostic factors of hospital mortality: a prospective, multicenter study. French Study Group on Acute Renal Failure. Crit Care Med 1996, 24: 192-198. 10.1097/00003246-199602000-00003

    Article  CAS  PubMed  Google Scholar 

  17. 17.

    Schaefer JH, Jochimsen F, Keller F, Wegscheider K, Distler A: Outcome prediction of acute renal failure in medical intensive care. Intensive Care Med 1991, 17: 19-24. 10.1007/BF01708404

    Article  CAS  PubMed  Google Scholar 

  18. 18.

    Cosentino F, Chaff C, Piedmonte M: Risk factors influencing survival in ICU acute renal failure. Nephrol Dial Transplant 1994,9(Suppl 4):179-182.

    PubMed  Google Scholar 

  19. 19.

    Douma CE, Redekop WK, van der Meulen JH, van Olden RW, Haeck J, Struijk DG, Krediet RT: Predicting mortality in intensive care patients with acute renal failure treated with dialysis. J Am Soc Nephrol 1997, 8: 111-117.

    CAS  PubMed  Google Scholar 

  20. 20.

    Chertow GM, Levy EM, Hammermeister KE, Grover F, Daley J: Independent association between acute renal failure and mortality following cardiac surgery. Am J Med 1998, 104: 343-348. 10.1016/S0002-9343(98)00058-8

    Article  CAS  PubMed  Google Scholar 

  21. 21.

    Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, et al.: Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA 2005, 294: 813-818. 10.1001/jama.294.7.813

    Article  CAS  PubMed  Google Scholar 

  22. 22.

    Calgary Health Region Website: Demographics of the Calgary Health Region[]

  23. 23.

    Bagshaw SM, Laupland KB, Boiteau PJ, Godinez-Luna T: Is regional citrate superior to systemic heparin anticoagulation for continuous renal replacement therapy? A prospective observational study in an adult regional critical care system. J Crit Care 2005, 20: 155-161. 10.1016/j.jcrc.2005.01.001

    Article  CAS  PubMed  Google Scholar 

  24. 24.

    Knaus WA, Draper EA, Wagner DP, Zimmerman JE: APACHE II: A severity of disease classification system. Crit Care Med 1985, 13: 818-829.

    Article  CAS  PubMed  Google Scholar 

  25. 25.

    Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8

    Article  CAS  PubMed  Google Scholar 

  26. 26.

    Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, Cohen J, Opal SM, Vincent JL, Ramsay G, SCCM/ESICM/ACCP/ATS/SIS: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Confenence. Crit Care Med 2003, 31: 1250-1256. 10.1097/01.CCM.0000050454.01978.3B

    Article  PubMed  Google Scholar 

  27. 27.

    Bernard GR, Artigas A, Brigham KL, Carlet J, Falke K, Hudson L, Lamy M, Legall JR, Morris A, Spragg R: The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination. Am J Respir Crit Care Med 1994, 149: 818-824.

    Article  CAS  PubMed  Google Scholar 

  28. 28.

    Statistics Canada Website: 1998 National Population Health Survey []

  29. 29.

    Statistics Canada Website: 2000/2001 Canadian Community Health Survey []

  30. 30.

    Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS: Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey (NHANES III). Am J Kidney Dis 2003, 41: 1-12. 10.1053/ajkd.2003.50007

    Article  PubMed  Google Scholar 

  31. 31.

    Manns BJ, Mortis GP, Taub KJ, McLaughlin K, Donaldson C, Ghali WA: The Southern Alberta Renal Program database: a prototype for patient management and research initiatives. Clin Invest Med 2001, 24: 164-170.

    CAS  PubMed  Google Scholar 

  32. 32.

    Davies HD, McGeer A, Schwartz B, Green K, Cann D, Simor AE, Low DE: Invasive group A streptococcal infections in Ontario, Canada. Ontario Group A Streptococcal Study Group. New Engl J Med 1996, 335: 547-554. 10.1056/NEJM199608223350803

    Article  CAS  PubMed  Google Scholar 

  33. 33.

    Liano F, Junco E, Pascual J, Madero R, Verde E: The spectrum of acute renal failure in the intensive care unit compared with that seen in other settings. The Madrid Acute Renal Failure Study Group. Kidney Int Suppl 1998, 66: S16-S24.

    CAS  PubMed  Google Scholar 

  34. 34.

    Laupland KB: Population-based epidemiology of intensive care: critical importance of ascertainment of residency status. Crit Care 2004, 8: R431-R436. 10.1186/cc2947

    PubMed Central  Article  PubMed  Google Scholar 

  35. 35.

    Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P, Acute Dialysis Quality Initiative workgroup: 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-R212. 10.1186/cc2872

    PubMed Central  Article  PubMed  Google Scholar 

  36. 36.

    Silvester W: Outcome studies of continuous renal replacement therapy in the intensive care unit. Kidney Intl Suppl 1998, 66: S138-S141.

    CAS  Google Scholar 

  37. 37.

    Perl TM, Dvorak L, Hwang T, Wenzel RP: Long-term survival and function after suspected gram-negative sepsis. JAMA 1995, 274: 338-345. 10.1001/jama.274.4.338

    Article  CAS  PubMed  Google Scholar 

  38. 38.

    Quartin AA, Schein RM, Kett DH, Peduzzi PN: Magnitude and duration of the effect of sepsis on survival. Department of Veterans Affiars Sysemic Sepsis. JAMA 1997, 277: 1058-1063. 10.1001/jama.277.13.1058

    Article  CAS  PubMed  Google Scholar 

  39. 39.

    Laupland KB, Zygun DA, Doig CJ, Bagshaw SM, Svenson LW, Fick GH: One-year mortality of bloodstream infection-associated sepsis and septic shock among patients presenting to a regional critical care system. Intensive Care Med 2005, 31: 213-219. 10.1007/s00134-004-2544-6

    Article  PubMed  Google Scholar 

  40. 40.

    Bhandari S, Turney JH: Survivors of acute renal failure who do not recover renal function. QJM 1996, 89: 415-421.

    Article  CAS  PubMed  Google Scholar 

  41. 41.

    Guerin C, Girard R, Selli JM, Perdrix JP, Ayzac L: Initial versus delayed acute renal failure in the intensive care unit. A multicenter prospective epidemiological study. Rhone-Alpes Area Study Group on Acute Renal Failure. Am J Respir Crit Care Med 2000, 161: 872-879.

    Article  CAS  PubMed  Google Scholar 

  42. 42.

    Jensen MB, Ejlersen E, Eliasen KR, Lokkegaard H: [Prognosis for patients admitted to intensive care units with acute renal failure requiring dialysis]. Ugeskr Laeger 1995, 157: 2564-2569.

    CAS  PubMed  Google Scholar 

  43. 43.

    Kellum JA, Angus DC, Johnson JP, Leblanc M, Griffin M, Ramakrishnan N, Linde-Zwirble WT: Continuous versus intermittent renal replacement therapy: a meta-analysis. Intensive Care Med 2002, 28: 29-37. 10.1007/s00134-001-1159-4

    Article  PubMed  Google Scholar 

  44. 44.

    Mehta RL, McDonald B, Gabbai FB, Pahl M, Pascual M, Farkas A, Kaplan RM, Collaborative Group for Treatment of ARF in the ICU: A randomized clinical trial of continuous versus intermittent dialysis for acute renal failure. Kidney Int 2001, 60: 1154-1163. 10.1046/j.1523-1755.2001.0600031154.x

    Article  CAS  PubMed  Google Scholar 

  45. 45.

    Guerin C, Girard R, Selli JM, Ayzac L: Intermittent versus continuous renal replacement therapy for acute renal failure in intensive care units: results from a multicentre prospective epidemiological survey. Intensive Care Med 2002, 28: 1411-1418. 10.1007/s00134-002-1391-6

    Article  PubMed  Google Scholar 

  46. 46.

    Gasparovic V, Filipovic-Grcic I, Merkler M, Pisl Z: Continuous renal replacement therapy (CRRT) or intermittent hemodialysis (IHD) – what is the procedure of choice in critically ill patients? Ren Fail 2003, 25: 855-862. 10.1081/JDI-120024300

    Article  PubMed  Google Scholar 

  47. 47.

    Augustine JJ, Sandy D, Seifert TH, Paganini EP: A randomized controlled trial comparing intermittent with continuous dialysis in patients with ARF. Am J Kidney Dis 2004, 44: 1000-1007.

    Article  PubMed  Google Scholar 

  48. 48.

    Rasmussen HH, Pitt EA, Ibels LS, McNeill DR: Prediction of outcome in acute renal failure by discriminant analysis of clinical variables. Arch Intern Med 1985, 145: 2015-2018. 10.1001/archinte.145.11.2015

    Article  CAS  PubMed  Google Scholar 

Download references


We thank Kaye Holt and Stephanie Hui for their help with database management and data entry, and Reza Shahpori for providing data from the ICU Tracer database. This study was funded by a grant from the Canadian Intensive Care Foundation. SMB was supported by a Canadian Institutes for Health Research Canada Graduate Scholarship Masters Award.

Author information



Corresponding author

Correspondence to Kevin B Laupland.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SMB developed the study protocol, collected data, analyzed data, and wrote and revised the manuscript. KBL conceived the study, developed the study protocol, analyzed data, and provided critique of successive drafts of the manuscript. MM and GM collected data. LWS provided mortality outcome data. CJD, GM, GHF, TGL and TR participated in design of the study and provided critique of successive drafts of the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Bagshaw, S.M., Laupland, K.B., Doig, C.J. et al. Prognosis for long-term survival and renal recovery in critically ill patients with severe acute renal failure: a population-based study. Crit Care 9, R700 (2005).

Download citation


  • Intensive Care Unit Admission
  • Continuous Renal Replacement Therapy
  • Renal Recovery
  • Calgary Health Region
  • Chronic Renal Replacement Therapy