Adverse Drug Events during AKI and Its Recovery : Clinical Journal of the American Society of Nephrology

Journal Logo

Original Articles

Adverse Drug Events during AKI and Its Recovery

Cox, Zachary L.*,†; McCoy, Allison B.; Matheny, Michael E.‡,§,‖,¶; Bhave, Gautam**; Peterson, Neeraja B.§; Siew, Edward D.**; Lewis, Julia**; Danciu, Ioana; Bian, Aihua; Shintani, Ayumi; Ikizler, T. Alp**; Neal, Erin B.*; Peterson, Josh F.‡,§,‖

Author Information
Clinical Journal of the American Society of Nephrology 8(7):p 1070-1078, July 2013. | DOI: 10.2215/CJN.11921112
  • Free
  • SDC



AKI increases the risk of death and serious morbidity in hospitalized patients (13). Among several pathways to adverse outcomes, AKI can lead to therapeutic failure or toxicity from rapid changes in drug elimination (1,48). Although the rate of adverse drug events (ADEs) during AKI is not known, the ADE rate in patients with a stable, elevated serum creatinine (SCr) is significantly higher than the general inpatient population (911). Improving drug management during AKI includes avoiding nephrotoxins, selecting and dosing drugs based on estimated GFR, and increasing the frequency of therapeutic drug monitoring (12). However, the extent to which these measures are followed and the frequency of preventable adverse patient outcomes are not yet well described.

In this study, we characterized both ADEs and therapeutic failures (TFs) among hospitalized patients experiencing either AKI (rise in SCr) or recovery from AKI (return of SCr to a pre-AKI baseline) with exposure to nephrotoxic or renally eliminated medications. All study events were prespecified as part of a quality improvement program to improve drug safety, and data were collected prospectively from detailed electronic documentation.

Materials and Methods


Vanderbilt University Hospital (VUH) is a 648-bed academic, tertiary care facility with computerized physician order entry (CPOE) and integrated clinical decision support (1315). Clinical pharmacists round with most intensive care teams and selected medical and surgical teams on weekdays. Study data were collected as part of a quality improvement program with Institutional Review Board approval to improve drug safety (16). Briefly, the program featured CPOE-based clinical decision support (17,18), prospective monitoring, and as necessary, intervention by a clinical pharmacist through an electronic surveillance tool. Data for this observational study were collected at discharge by an independent outcome assessor. The effect of the quality improvement intervention on study outcomes is reported separately (16).

Patient Population

We enrolled patients hospitalized between June 1, 2010 and August 31, 2010 who met the study criteria: a minimum 0.5 mg/dl SCr change during a rolling 48-hour period (Figure 1) and an order for a nephrotoxic or renally eliminated drug (Supplemental Table 1). Patients with both increasing and decreasing SCr changes were included in the study and classified as AKI or AKI recovery based on the direction of the initial SCr change. The threshold of 0.5 mg/dl was selected by an internal committee of expert nephrologists in 2005 before the publication of standard AKI stages by the Acute Kidney Injury Network (AKIN), and it is intended to represent the threshold above which medication use needs to be reassessed (17,19). We calculated AKI severity using AKIN staging, which compares a baseline creatinine (SCr before minimum 0.5 mg/dl rise) with a 7-day peak (19). Because a prior SCr was not always available for staging AKI recovery patients, the nadir during admission was substituted (20). We excluded patients receiving chronic dialysis for ESRD, organ transplantation, palliative care, transient SCr changes (return to baseline within 24 hours), or erroneous SCr values from spurious blood samples. Medications that prompted inclusion are listed in Supplemental Table 1. Because there is no standard consensus of medications to adjust or avoid in AKI, a committee of nephrologists, internists, and pharmacists reviewed medication package inserts, textbooks (21,22), and primary literature. The committee created Supplemental Table 1 to include medications that could contribute to AKI or have the potential for adverse effects with accumulation in AKI. It is limited to medications on VUH’s formulary, and it is not intended to include all medications available. Some medications triggered inclusion in the study only if administered during increasing SCr, whereas antibiotics with a wide therapeutic window triggered inclusion only when exceeding a prespecified dose threshold.

Figure 1:
Flow diagram of patients.

Identification and Evaluation of Study Events

At hospital discharge or death of an enrolled patient, a clinical pharmacist reviewed the electronic medical record to determine whether one of the prespecified study events was present (Figure 2). A blinded outcomes assessment adjudication committee, consisting of a nephrologist and internal medicine physician, independently reviewed cases with at least one potential ADE (pADE), ADE, TF, or potential TF (pTF). We performed pilot reviews of initial cases to ensure that the adjudicating reviewers were in agreement in grading the severity and preventability of events and that all potential errors were identified. When discrepancies between reviewers occurred, reviewers met together with a tie-breaker nephrologist to reach a consensus.

Figure 2:
Timeline of AKI and adverse drug event evaluation legend. Patient X met inclusion criteria on hospital day 5 when the serum creatinine (SCr) increased >0.5 mg/dl within 48 hours while receiving a medication from Supplemental Table 1 (ramipril, vancomycin, and ibuprofen). An adverse drug event (hypotension) was recorded for ramipril during AKI. Vancomycin was changed to one time daily administration during AKI but was not adjusted for AKI recovery. A potential therapeutic failure was recorded for vancomycin when the trough was <10 mg/dl during AKI recovery. A potential adverse drug event was recorded for continuing a nonsteroidal anti-inflammatory drug agent until hospital day 7, which was >24 hours during AKI.

Definition and Classification of Outcome Measures

The primary outcome measures were incidence, type, and severity of pADEs, ADEs, TFs, and pTFs. Secondary outcomes included drug classes that were associated with ADEs during AKI and the impact of ADEs in the AKI subset on length of stay (LOS) weighted by the Medicare Diagnosis Related Group (DRG). A committee of nephrologists, internists, and pharmacists compiled a list of possible ADEs using previous ADE literature, medication package inserts, and textbooks (2126). Detailed criteria for each outcome are listed in Supplemental Table 2 using previous definitions (11,2327) when possible. Briefly, we defined pADEs as events with the potential for injury related to a drug but during which no injury occurred. We defined ADEs relevant to AKI patients as injuries resulting from a medication listed in Supplemental Table 1. Laboratory-only ADEs, a subcategory of ADEs, included critical value laboratory values attributable to a medication listed in Supplemental Table 1 that are associated with morbidity (25). Thresholds for antibiotic supratherapeutic and subtherapeutic concentrations were selected based on prior publications (2830). During AKI recovery, we defined substantial subtherapeutic drug levels (Supplemental Table 2) and underdosing of medications with serum concentrations that are not clinically monitored as pTFs. Medication underdosing or subtherapeutic drug levels that were linked to morbidity or mortality based on clinical adjudication were categorized as TFs. We counted an event consisting of both a laboratory abnormality and an ADE as a single event. Severity was categorized as significant, serious, life-threatening, or fatal (26). Severity of pADEs was graded based on the potential severity. Categories of preventability were classified as definitely preventable, probably preventable, probably not preventable, and definitely not preventable (11,24,31). For analysis, we collapsed preventability into preventable (definitely and probably preventable) or not preventable (definitely and probably not preventable). Quantification of the contribution of a nephrotoxic medication to the genesis or severity of AKI when continued during SCr rise is difficult. For ADEs where the medication was associated with AKI, medication contribution was graded by two nephrologists as certain, probable, possible, or unlikely (32).

Statistical Analyses

Descriptive statistics were presented as frequencies for categorical variables and means with SD (mean ± SD) or medians with interquartile range (IQR) according to the distribution of the continuous variables. Demographic and clinical factors were compared between patients with and without ADEs using Wilcoxon rank-sum test or a Pearson chi-squared test as appropriate. κ-Statistics and bootstrapped 95% confidence intervals (CIs) were used to describe the agreement between outcome evaluators. Bootstrapped CIs account for repeated measurements within a patient. A proportional odds model was used to assess the effect of ADE on AKI stage.

The association of each drug class with ADEs was assessed using a multivariable Poisson regression model to compute the incidence rate ratio with adjustment for age, sex, admitting service, number of scheduled medication orders, baseline creatinine level, intensive care unit (ICU) admission, mechanical ventilation, patient comorbidities, major surgery this admission, SCr at the time of qualifying for AKI, and allocation to the intervention arm in the quality improvement trial. To avoid overfitting, a propensity score incorporating 12 variables (race, sex, comorbidities, major surgery, and creatinine timing) was computed using logistic regression. Multivariable linear regression was used to assess the association of ADE with the actual LOS with adjustment for the DRG-expected LOS, age, admitting service, number of scheduled medication orders, baseline SCr, intensive care, and mechanical ventilation. Actual LOS and expected LOS were natural logarithm-transformed to improve normality. Statistical analysis was performed using R version 2.10.0 ( A two-sided significance level was set as 0.05.


During the study period, 938 patients experienced a minimum 0.5 mg/dl SCr change, of which 396 patients received a targeted medication (Supplemental Table 1). The baseline SCr was 1.1 mg/dl (IQR=0.8, 1.6), with a baseline GFR of 63 ml/min per 1.73 m2 (IQR=42, 97) (Table 1). For AKI patients, the median increase in SCr from baseline to peak was 0.9 mg/dl (IQR=0.6, 1.4). AKIN criteria classified 61% of patients as stage 1, 18% of patients as stage 2, and 21% of patients as stage 3. AKI recovery patients experienced a median decrease of 1.2 mg/dl (IQR=0.7, 2.1) from their peak SCr. Patients with AKI had multiple comorbidities (mean=2.4±1.4) and frequently received intensive care (57%). Of 396 study patients, 170 patients (43%) experienced 200 study events, consisting of 52 ADEs, 21 laboratory-only ADEs, 93 pADEs, 1 TF, and 33 pTFs. The κ-statistic for inter-rater reliability of the initial physician rating before consensus adjudication was 0.93 (95% CI=0.87 to 0.97) for pADE versus no pADE, 0.95 (95% CI=0.9 to 0.99) for ADE versus no ADE, and 0.58 (95% CI=0.49 to 0.66) for preventable ADE versus nonpreventable ADE.

Table 1:
Baseline characteristics of study population

Severity and Preventability of ADEs and pADEs

Of pADEs, 33 were significant (35%), 56 were serious (60%), and 4 were life-threatening (5%). Patients experienced a total of 73 ADEs (18 events/100 patients), consisting of 52 ADEs and 21 laboratory-only ADEs (Table 2). Most laboratory-only ADEs were serious (90%) or life-threatening (10%). Most ADEs were either serious (63%) or life-threatening (31%). The one drug-related fatality resulted from a gastrointestinal bleed during intravenous ketorolac therapy. A small proportion of ADEs (6%) were documented after SCr had returned to baseline but were judged to originate from drug exposures during AKI.

Table 2:
Adverse drug events by type and severity

Types of ADEs and pADEs

Potential ADEs were comprised mostly of failure to adjust medication for decreased renal elimination (63%) or continued use of a nephrotoxic medication (28%) for greater than 24 hours after AKI onset (Table 3). Supplemental Table 3 contains descriptions of example ADEs. Laboratory-only ADEs included both supratherapeutic drug levels (90%) and hyperkalemia (10%). Worsening AKI was the most common outcome judged to be at least partially related to an ADE (n=24) and resulted in acute hemodialysis in three patients. Medications contributing to AKI were started a median of 48 hours (IQR=35, 72) before the initial SCr rise and continued for a median of 24 hours (IQR=11, 27) after. In addition to standard rating method for ADEs, two nephrologists used separate criteria (32) and graded the certainty of the drug causing or contributing to AKI as possible in 38% of patients, probable in 54% of patients, and certain in 8% of patients (32). Hypotension occurred often (n=11) along with bleeding (n=6), cognitive changes (n=4), and oversedation (n=6). Five ADEs required a rapid response team evaluation, and four ADEs required transfer to an ICU.

Table 3:
Description of potential adverse drug events and adverse drug events

Medications Associated with ADEs and pADEs

The medications most frequently associated with ADEs with adjustment for frequency of use are detailed in Table 4. Angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) most commonly caused ADEs followed by nonsteroidal anti-inflammatory agents, opiate analgesics, and parenteral antithrombotic agents. ADEs from ACEI/ARBs comprised 11 symptomatic hypotensive events and 12 events causing or contributing to AKI. All antithrombotic ADEs involved bleeding during enoxaparin or fondaparinux therapy. Antibiotics, particularly β-lactams, fluoroquinolones, and vancomycin, were responsible for the majority of pADEs and laboratory-only ADEs. ACEI/ARBs (P=0.004), antibiotics (P=0.005), and parenteral antithrombotics (P=0.004) were associated with ADEs and pADEs in the multivariate analysis. When ADEs alone were analyzed, only ACEI/ARBs (P=0.004) and parenteral antithrombotics (P=0.001) were significant in the multivariate analysis.

Table 4:
Drug classes involved in potential adverse drug events and adverse drug events

TF and pTF

Of pTFs, 33 occurred in 29 patients, with 85% resulting from antibiotics; 13 pTFs (40%) were significant, 12 pTFs were serious (36%), and 8 pTFs were life-threatening (24%). One fatal TF occurred in a patient treated with levofloxacin monotherapy (750 mg every 48 hours) for a sensitive Stenotrophomonas ventilator-associated pneumonia during AKI. Levofloxacin was not adjusted during AKI recovery. After 4 days of subtherapeutic antibiotic dosing, the patient died of hypoxic respiratory failure on maximal ventilator support.

Outcomes Associated with ADE and pADEs

Patients with an ADE or pADE were more likely to have greater severity of AKI, which was represented by higher AKIN stage, than patients without an event (P value for trend=0.02). After adjustment for patient characteristics and drug indications, patients with an ADE did not have a longer LOS compared with patients without an ADE (1.79 days; 95% CI=−0.28 to 3.86, P=0.09). We found similar nonsignificant differences after excluding those patients who died before discharge from the analysis.


Our study is the first, to our knowledge, to characterize the rates of ADEs and TFs and the corresponding near misses among hospitalized patients experiencing AKI and exposure to a nephrotoxic or renally eliminated medication. One of eight patients in this high-risk cohort was found to have an adverse therapeutic outcome, and an additional one fourth of the cohort was put at risk of an adverse outcome from a medication error. Two thirds of the ADEs were judged preventable, primarily because of failure to adjust drug dosing in the setting of changing renal function. Two medication classes (ACEI/ARBs and parenteral antithrombotics) showed an increased risk of injury during AKI compared with other therapeutic classes. Finally, a trend to increased hospital length of stay was observed in patients with ADEs after adjusting for multiple other clinical factors in a multivariable analysis.

Previous reports of hospitalized patients with reduced creatinine clearance from any cause found kidney dysfunction to be a risk factor for ADEs (33,34). Hug et al. (11) found that patients with impaired kidney function (both acute and chronic) in a community hospital setting experienced a 10% rate of ADEs, of which 91% were preventable, and a 55% rate of potential ADEs. Among the population (n=938) identified in our study period (Figure 1), 21% experienced or had the potential to experience an ADE or TF, with an 8% ADE rate. Patients in the general hospitalized population (ADEs rates=0.6%–6%) (23,24,35) and critically ill patients (ADE rates=2.7%–9.5%) have comparable rates; however, we only examined for ADEs with a known biologic relationship to AKI (36,37). Although one half of the pADEs and ADEs reported by previous studies occurred during other stages of the medication pathway (transcription, administration, or dispensing), all of the events in our study were linked to the ordering and monitoring stages managed by medical providers and pharmacists.

Our multivariable analysis identified ACEI/ARBs and parenteral antithrombotics as independent predictors of ADEs in AKI. Antibiotics were also an independent predictor when pADEs were included. Similar to prior studies, we found that antibiotics and analgesics were common causes of ADEs and pADEs (23,24,34,3739). However, antivirals and ACEI/ARBs also were associated with ADEs in AKI patients. Previous literature has reported AKI as the most common ADE, and studies of ICU populations confirm ADEs as the cause of up to 25% of AKI cases (11,4043). Based on detailed review of AKI events by the outcomes committee using two independent methods of rating ADEs (24,32), ACEI/ARBs seemed to trigger AKI by causing systemic hypotension during a renin-dependent dehydrated state and decreasing intraglomerular pressure in the setting of other renal perfusion insults. Clinicians should be vigilant with ACEI/ARB, antithrombotic, and antibiotic orders during AKI because of their high risk of ADEs, including worsening AKI with ACEI/ARBs (11). Although previous literature has focused on ADEs when SCr is elevated, the AKI recovery phase also increases the risk of adverse therapeutic outcomes. The severity and incidence of pTFs highlight the vigilance needed not only during AKI but also during AKI recovery.

We found that greater severity of AKI is associated with ADEs, representing both the effect of nephrotoxic drugs administered before the peak SCr and also, the greater impact of severe AKI on renally eliminated medications. The impact of AKI on patient outcomes, including mortality and length of stay, has already been well described (2,3,44,45); in this cohort, ADEs contributed to the high AKI-associated mortality. Among the 24 deaths in our cohort, 2 deaths were judged to be at least partially related to a preventable ADE—1 death during AKI and 1 death during resolution. In contrast to previous studies (11), we did not find an increase in LOS in the context of an ADE. However, our analysis was limited to AKI patients who already have longer than average admissions and controlled for other patient characteristics in addition to the DRG.

Our study highlights the challenges of caring for patients with AKI and was conducted in a medical center with many medication safety strategies, including electronic medical records, CPOE with clinical decision support (17), and rounding clinical pharmacists. We could not quantify the impact of these safeguards on our outcome rates, but previous studies suggest substantial improvement (4,4648). Our study’s ADE rates may be lower than in hospitals with fewer ADE prevention strategies. The frequency of improper medication adjustment, despite existing strategies, illustrates the difficulty of monitoring a fluctuating target drug dose. Furthermore, such targeting depends on serum markers and mathematical estimates of kidney function that are inaccurate during AKI (49,50). AKI patients may be at higher risk of ADEs, because therapeutic decisions are based on inaccurate markers that lag behind acute changes in GFR.

Our study has several limitations. We identified AKI-related adverse events using clinical documentation and a list of prespecified ADEs. Prehospital, unrecognized, or undocumented ADEs are not included. We did not collect data on patients postdischarge, consistent with the quality improvement design that lacked informed consent to contact patients directly. Medications discontinued more than 1 day before AKI onset were not included because of the uncertainty of the relationship between drug, changing creatinine, and outcome. We did not include patients with AKI who died before a 0.5 mg/dl SCr change. The presence, severity, and preventability of adverse events were based on implicit review by a committee of clinicians. Although agreement was not complete, our inter-rater reliability was comparable with previous studies. Finally, our findings are pertinent for medical centers with high-acuity patients. Rates of AKI-related adverse therapeutic outcomes may differ significantly across clinical environments.

In conclusion, ADEs and pTFs were common and frequently severe in AKI patients exposed to nephrotoxic or renally eliminated medications. Documented TFs were uncommon. Most events were preventable during both AKI onset and AKI recovery. AKI patients receiving ACEI, ARBs, antithrombotics, and antibiotics are at highest risk and should receive more intensive monitoring.




The authors were funded by National Library of Medicine Grant R01 LM009965. Some data collection was supported by National Center for Research Resources/National Institutes of Health Grant UL1 RR024975. A.B.M is supported by Department of Biomedical Informatics Training Grant T15 LM007450. M.E.M. is supported by Veterans Administration Health Services Research and Development Career Development Award CDA-08-020. E.D.S. is supported by Vanderbilt Mentored Clinical Research Scholar Program 5KL2 RR024977.

Published online ahead of print. Publication date available at

This article contains supplemental material online at


1. Nash K, Hafeez A, Hou S: Hospital-acquired renal insufficiency. Am J Kidney Dis 39: 930–936, 2002
2. Lassnigg A, Schmidlin D, Mouhieddine M, Bachmann LM, Druml W, Bauer P, Hiesmayr M: Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: A prospective cohort study. J Am Soc Nephrol 15: 1597–1605, 2004
3. 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 16: 3365–3370, 2005
4. Chertow GM, Lee J, Kuperman GJ, Burdick E, Horsky J, Seger DL, Lee R, Mekala A, Song J, Komaroff AL, Bates DW: Guided medication dosing for inpatients with renal insufficiency. JAMA 286: 2839–2844, 2001
5. Salomon L, Deray G, Jaudon MC, Chebassier C, Bossi P, Launay-Vacher V, Diquet B, Ceza JM, Levu S, Brücker G, Ravaud P: Medication misuse in hospitalized patients with renal impairment. Int J Qual Health Care 15: 331–335, 2003
    6. Markota NP, Markota I, Tomic M, Zelenika A: Inappropriate drug dosage adjustments in patients with renal impairment. J Nephrol 22: 497–501, 2009
      7. Sellier E, Colombet I, Sabatier B, Breton G, Nies J, Zapletal E, Arlet JB, Somme D, Durieux P: Effect of alerts for drug dosage adjustment in inpatients with renal insufficiency. J Am Med Inform Assoc 16: 203–210, 2009
        8. Sheen SS, Choi JE, Park RW, Kim EY, Lee YH, Kang UG: Overdose rate of drugs requiring renal dose adjustment: Data analysis of 4 years prescriptions at a tertiary teaching hospital. J Gen Intern Med 23: 423–428, 2008
        9. Bates DW, Spell N, Cullen DJ, Burdick E, Laird N, Petersen LA, Small SD, Sweitzer BJ, Leape LLAdverse Drug Events Prevention Study Group: The costs of adverse drug events in hospitalized patients. JAMA 277: 307–311, 1997
        10. Classen DC, Pestotnik SL, Evans RS, Lloyd JF, Burke JP: Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality. JAMA 277: 301–306, 1997
          11. Hug BL, Witkowski DJ, Sox CM, Keohane CA, Seger DL, Yoon C, Matheny ME, Bates DW: Occurrence of adverse, often preventable, events in community hospitals involving nephrotoxic drugs or those excreted by the kidney. Kidney Int 76: 1192–1198, 2009
          12. Kellum JABR, Bellomo R, Ronco C: Kidney attack. JAMA 307: 2265–2266, 2012
          13. Miller RA, Waitman LR, Chen S, Rosenbloom ST: The anatomy of decision support during inpatient care provider order entry (CPOE): Empirical observations from a decade of CPOE experience at Vanderbilt. J Biomed Inform 38: 469–485, 2005
          14. Rind DM, Safran C, Phillips RS, Wang Q, Calkins DR, Delbanco TL, Bleich HL, Slack WV: Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Intern Med 154: 1511–1517, 1994
            15. Phillips IE, Nelsen C, Peterson J, Sullivan TM, Waitman LR: Improving aminoglycoside dosing through computerized clinical decision support and pharmacy therapeutic monitoring systems. AMIA Annu Symp Proc 2008: 1093, 2008
            16. McCoy AB, Cox ZL, Neal EB, Waitman LR, Peterson NB, Bhave G, Siew ED, Danciu I, Lewis JB, Peterson JF: Real-time pharmacy surveillance and clinical decision support to reduce adverse drug events in acute kidney injury: A randomized, controlled trial. Appl Clin Inform 3: 221–238, 2012
            17. McCoy AB, Waitman LR, Gadd CS, Danciu I, Smith JP, Lewis JB, Schildcrout JS, Peterson JF: A computerized provider order entry intervention for medication safety during acute kidney injury: A quality improvement report. Am J Kidney Dis 56: 832–841, 2010
            18. McCoy AB, Waitman LR, Lewis JB, Wright JA, Choma DP, Miller RA, Peterson JF: A framework for evaluating the appropriateness of clinical decision support alerts and responses. J Am Inform Assoc 19: 346–352, 2012
            19. Mehta RL, Kellum JA, Shah SV, Molitoris BA, Ronco C, Warnock DG, Levin AAcute Kidney Injury Network: Acute Kidney Injury Network: Report of an initiative to improve outcomes in acute kidney injury. Crit Care 11: R31, 2007
            20. Mandelbaum T, Scott DJ, Lee J, Mark RG, Malhotra A, Waikar SS, Howell MD, Talmor D: Outcome of critically ill patients with acute kidney injury using the Acute Kidney Injury Network criteria. Crit Care Med 39: 2659–2664, 2011
            21. Arnoff G, Bennett W, Berns J, Brier M, Kasbekar N, Mueller B, Pasko D, Smoyer W: Drug Prescribing in Renal Failure, Philadelphia, American College of Physicians, 2007
            22. Tisdale J, Miller D: Drug-Induced Diseases, Bethesda, MD, American Society of Health-Systems Pharmacists, 2005
            23. Leape LL, Brennan TA, Laird N, Lawthers AG, Localio AR, Barnes BA, Hebert L, Newhouse JP, Weiler PC, Hiatt H: The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. N Engl J Med 324: 377–384, 1991
            24. Bates DW, Cullen DJ, Laird N, Peterson LA, Small SD, Servi D, Laffel G, Sweitzer BJ, Shea BF, Hallisey R, Vander Vliet M, Nemeskal R, Leape L, Bates D, Hojnowski-Diaz P, Petrycki S, Cotugno M, Patterson H, Hickey M, Kleefield S, Cooper J, Kinneally E, Demonaco HJ, Dempsey Clapp M, Gallivan T, Ives J, Porter K, Thompson BT, Hackman JR, Edmondson A: Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group. JAMA 274: 29–34, 1995
            25. Morimoto T, Gandhi TK, Seger AC, Hsieh TC, Bates DW: Adverse drug events and medication errors: Detection and classification methods. Qual Saf Health Care 13: 306–314, 2004
            26. Pippins JR, Gandhi TK, Hamann C, Ndumele CD, Labonville SA, Diedrichsen EK, Carty MG, Karson AS, Bhan I, Coley CM, Liang CL, Turchin A, McCarthy PC, Schnipper JL: Classifying and predicting errors of inpatient medication reconciliation. J Gen Intern Med 23: 1414–1422, 2008
            27. Jha AK, Kuperman GJ, Teich JM, Leape LL, Shea B, Rittenberg E, Burdick E, Seger DL, Vander Vliet M, Bates DW: Identifying adverse drug events: Development of a computer-based monitor and comparison with chart review and stimulated voluntary report. J Am Med Inform Assoc 5: 305–314, 1998
            28. Rybak MJ, Lomaestro BM, Rotschafer JC, Moellering RC Jr, Craig WA, Billeter M, Dalovisio JR, Levine DP: Therapeutic monitoring of vancomycin in adults summary of consensus recommendations from the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists. Pharmacotherapy 29: 1275–1279, 2009
            29. Mandell G, Bennett J, Dolin R: Principles and Practice of Infectious Diseases, Philadelphia, Elsevier, 2005
              30. Nicolau DP, Belliveau PP, Nightingale CH, Quintiliani R, Freeman CD: Implementation of a once-daily aminoglycoside program in a large community-teaching hospital. Hosp Pharm 30: 674–680, 1995
              31. Bates DW, Miller EB, Cullen DJ, Burdick L, Williams L, Laird N, Petersen LA, Small SD, Sweitzer BJ, Vander Vliet M, Leape LLADE Prevention Study Group: Patient risk factors for adverse drug events in hospitalized patients. Arch Intern Med 159: 2553–2560, 1999
              32. Nebeker JR, Barach P, Samore MH: Clarifying adverse drug events: A clinician’s guide to terminology, documentation, and reporting. Ann Intern Med 140: 795–801, 2004
              33. Evans RS, Lloyd JF, Stoddard GJ, Nebeker JR, Samore MH: Risk factors for adverse drug events: A 10-year analysis. Ann Pharmacother 39: 1161–1168, 2005
              34. Lesar TS, Briceland L, Stein DS: Factors related to errors in medication prescribing. JAMA 277: 312–317, 1997
              35. Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, Newhouse JP, Weiler PC, Hiatt HH: Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med 324: 370–376, 1991
              36. Rothschild JM, Landrigan CP, Cronin JW, Kaushal R, Lockley SW, Burdick E, Stone PH, Lilly CM, Katz JT, Czeisler CA, Bates DW: The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive care. Crit Care Med 33: 1694–1700, 2005
              37. Cullen DJ, Sweitzer BJ, Bates DW, Burdick E, Edmondson A, Leape LL: Preventable adverse drug events in hospitalized patients: A comparative study of intensive care and general care units. Crit Care Med 25: 1289–1297, 1997
              38. Lesar TS, Briceland LL, Delcoure K, Parmalee JC, Masta-Gornic V, Pohl H: Medication prescribing errors in a teaching hospital. JAMA 263: 2329–2334, 1990
                39. Kane-Gill SL, Jacobi J, Rothschild JM: Adverse drug events in intensive care units: Risk factors, impact, and the role of team care. Crit Care Med 38[Suppl]: S83–S89, 2010
                40. Reis AM, Cassiani SH: Adverse drug events in an intensive care unit of a university hospital. Eur J Clin Pharmacol 67: 625–632, 2011
                41. Bentley ML, Corwin HL, Dasta J: Drug-induced acute kidney injury in the critically ill adult: Recognition and prevention strategies. Crit Care Med 38[Suppl]: S169–S174, 2010
                  42. Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, Gibney N, Tolwani A, Ronco CBeginning and Ending Supportive Therapy for the Kidney (BEST Kidney) Investigators: Acute renal failure in critically ill patients: A multinational, multicenter study. JAMA 294: 813–818, 2005
                    43. Mehta RL, Pascual MT, Soroko S, Savage BR, Himmelfarb J, Ikizler TA, Paganini EP, Chertow GMProgram to Improve Care in Acute Renal Disease: Spectrum of acute renal failure in the intensive care unit: The PICARD experience. Kidney Int 66: 1613–1621, 2004
                    44. Ishani A, Nelson D, Clothier B, Schult T, Nugent S, Greer N, Slinin Y, Ensrud KE: The magnitude of acute serum creatinine increase after cardiac surgery and the risk of chronic kidney disease, progression of kidney disease, and death. Arch Intern Med 171: 226–233, 2011
                    45. Morgera S, Kraft A, Siebert G, Luft FC, Neumayer HH: Long-term outcomes in acute renal failure patients treated with continuous renal replacement therapies. Am J Kidney Dis 40: 275–279, 2002
                    46. Chang J, Ronco C, Rosner MH: Computerized decision support systems: Improving patient safety in nephrology. Nat Rev Nephrol 7: 348–355, 2011
                    47. Colpaert K, Claus B, Somers A, Vandewoude K, Robays H, Decruyenaere J: Impact of computerized physician order entry on medication prescription errors in the intensive care unit: A controlled cross-sectional trial. Crit Care 10: R21, 2006
                      48. Nebeker JR, Hoffman JM, Weir CR, Bennett CL, Hurdle JF: High rates of adverse drug events in a highly computerized hospital. Arch Intern Med 165: 1111–1116, 2005
                      49. Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky PAcute 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 8: R204–R212, 2004
                      50. Doolan PD, Alpen EL, Theil GB: A clinical appraisal of the plasma concentration and endogenous clearance of creatinine. Am J Med 32: 65–79, 1962
                      Copyright © 2013 The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.