Original Study
Determining the Incidence of Drug-Associated Acute Kidney Injury in Nursing Home Residents

https://doi.org/10.1016/j.jamda.2014.03.014Get rights and content

Abstract

Objective

Although acute kidney injury (AKI) is well studied in the acute care setting, investigation of AKI in the nursing home (NH) setting is virtually nonexistent. The goal of this study was to determine the incidence of drug-associated AKI using the RIFLE (Risk, Injury, Failure, Loss of kidney function, or End-Stage kidney disease) criteria in NH residents.

Design/Setting/Participants/Measurements

We conducted a retrospective study between February 9, 2012, and February 8, 2013, for all residents at 4 UPMC NHs located in southwest Pennsylvania. The TheraDoc™ Clinical Surveillance Software System, which monitors laboratory and medication data and fires alerts when patients have a sufficient increase in serum creatinine, was used for automated case detection. An increase in serum creatinine in the presence of an active medication order identified to potentially cause AKI triggered an alert, and drug-associated AKI was staged according to the RIFLE criteria. Data were analyzed by frequency and distribution of alert type by risk, injury, and failure.

Results

Of the 249 residents who had a drug-associated AKI alert fire, 170 (68.3%) were women, and the mean age was 74.2 years. Using the total number of alerts (n = 668), the rate of drug-associated AKI was 0.41 events per 100 resident-days. Based on the RIFLE criteria, there were 191, 70, and 44 residents who were classified as AKI risk, injury, and failure, respectively. The most common medication classes included in the AKI alerts were diuretics, angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACEIs/ARBs), and antibiotics.

Conclusion

Drug-associated AKI was a common cause of potential adverse drug events. The vast majority of cases were related to the use of diuretics, ACEIs/ARBs, and antibiotics. Future studies are needed to better understand patient, provider, and facility risk factors, as well as strategies to enhance the detection and management of drug-associated AKI in the NH.

Section snippets

Study Design

We conducted our study within UPMC Senior Communities, which is the largest long-term care organization in southwestern Pennsylvania, as well as the largest nationally that is part of an integrated health care delivery system. UPMC Senior Communities has approximately 2500 beds, of which 752 are located in the NH setting. There are 6 UPMC NHs, all of which are nonprofit, academically affiliated, and not part of a national chain. Four of the 6 NHs (2 urban and 2 suburban) have the same health

Results

Of the 249 residents who had a drug-associated AKI alert fire, 170 (68.3%) were women, and the mean ± SD age was 74.2 ± 14.0 years. The baseline SCr was 0.90 ± 0.64 mg/dL. During the study period, there were a total of 1475 admissions, providing 188,426 resident-days with an average length of stay of 75 days. The average length of stay for each of the 4 individual NHs was 69, 90, 92, and 120 days.

Using the total number of alerts (n = 668), the rate of drug-associated AKI among these residents

Discussion

To the best of our knowledge, this is the first study to determine the incidence of drug-associated AKI by using a validated set of diagnostic and staging criteria in the NH. We found a total of 668 drug-associated AKI alerts associated with 249 unique residents for an incidence rate of 0.41 cases per 100 resident-days. In other words, among those residents with a length of stay of 100 days, 34% would be expected to have had at least one drug-associated AKI event during their stay. Comparing

Conclusion

This is the first study that assessed the incidence of drug-associated AKI in NHs. Based on our analysis, drug-associated AKI was a common cause of potential ADEs. The vast majority of the cases were related to the use of diuretics, ACEI/ARBs, and antibiotics. Future studies are needed to better understand patient, provider, and facility risk factors, as well as strategies to enhance the detection and management of drug-associated AKI in the NH.

Funding Sources

The project described was supported by the National Institutes of Health through Grant Numbers UL1 RR024153 and UL1TR000005.

References (45)

  • E.A. Hoste et al.

    RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: A cohort analysis

    Crit Care

    (2006)
  • D.N. Cruz et al.

    North East Italian prospective hospital renal outcome survey on acute kidney injury (NEiPHROS-AKI). Targeting the problem with the RIFLE criteria

    Clin J Am Soc Nephrol

    (2007)
  • T. Ali et al.

    Incidence and outcomes in acute kidney injury: A comprehensive population-based study

    J Am Soc Nephrol

    (2007)
  • J.F. Dasta et al.

    Costs and outcomes of acute kidney injury (AKI) following cardiac surgery

    Nephrol Dial Transplant

    (2008)
  • H. Schiffl et al.

    Five-year outcomes of severe acute kidney injury requiring renal replacement therapy

    Nephrol Dial Transplant

    (2008)
  • C.E. Hobson et al.

    Acute kidney injury is associated with increased long-term mortality after cardiothoracic surgery

    Circulation

    (2009)
  • ClinicalTrials.gov. Enhancing the detection and management of adverse drug events in nursing homes. Available at:...
  • S. Gaiao et al.

    Baseline creatinine to define acute kidney injury: Is there any consensus?

    Nephrol Dial Transplant

    (2010)
  • M. Ostermann et al.

    Challenges of defining acute kidney injury

    QJM

    (2011)
  • J.T. Hanlon et al.

    Consensus guidelines for oral dosing of primarily renally cleared medictions in older adults

    J Am Geriatr Soc

    (2009)
  • Z.A. Marcum et al.

    Utility of an adverse drug event trigger tool in Veterans Affairs nursing facilities

    Consult Pharm

    (2013)
  • D.M. Rind et al.

    Effect of computer-based alerts on the treatment and outcomes of hospitalized patients

    Arch Intern Med

    (1994)
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    This study was funded by the Agency for Healthcare Research and Quality (R01HS018721), the National Institute on Aging (R01AG027017, P30AG024827, K07AG033174), the National Institute of Diabetes, Digestive, and Kidney Diseases (R01DK083961), and a Centers for Medicare and Medicaid Services Cooperative Agreement/Health Care Innovation Award (1E1CMS331081-01-00). The content is solely the responsibility of the authors and does not represent the official views of the Agency for Healthcare Research and Quality or any of the other funding sources.

    The authors declare no conflicts of interest.

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