A simple electronic alert for acute kidney injury. (March 2015)
- Record Type:
- Journal Article
- Title:
- A simple electronic alert for acute kidney injury. (March 2015)
- Main Title:
- A simple electronic alert for acute kidney injury
- Authors:
- Flynn, N
Dawnay, A - Abstract:
- Background: Acute kidney injury (AKI) is frequently under-recognized and contributes to poor outcomes. Electronic alerts (e-alerts) to highlight AKI based on changes in serum creatinine may facilitate earlier recognition and treatment, and sophisticated algorithms for AKI detection have been proposed or implemented elsewhere. However, many laboratories currently lack the resources or capability to replicate these systems. Methods: A real-time automated delta check e-alert flags a 50% increase in creatinine to a concentration of >50 µ mol/L from the most recent result within a 90-day period and automatically adds the comment '?AKI – creatinine increase >50% from previous' with a link to local AKI guidelines. In addition, creatinine results >300 µ mol/L are retrospectively reviewed and phoned if AKI is suspected. For each alert over a 12-day period we manually reviewed previous and subsequent creatinine results to determine baseline creatinine and stage AKI according to Acute Kidney Injury Network (AKIN) criteria. Results: From 11, 930 creatinine requests, 63 of 90 (70%) delta check e-alerts were due to AKI, identifying 61 episodes of AKI. Thirty four of 54 (63%) creatinine results >300 µ mol/L were due to AKI, identifying a further 10 episodes of AKI. The positive predictive value (PPV) for AKI of a delta check e-alert was greater when the trigger creatinine was >100 µ mol/L (PPV 89%) or when the absolute change in creatinine was >50 µ mol/L (PPV 93%). Conclusion: ThisBackground: Acute kidney injury (AKI) is frequently under-recognized and contributes to poor outcomes. Electronic alerts (e-alerts) to highlight AKI based on changes in serum creatinine may facilitate earlier recognition and treatment, and sophisticated algorithms for AKI detection have been proposed or implemented elsewhere. However, many laboratories currently lack the resources or capability to replicate these systems. Methods: A real-time automated delta check e-alert flags a 50% increase in creatinine to a concentration of >50 µ mol/L from the most recent result within a 90-day period and automatically adds the comment '?AKI – creatinine increase >50% from previous' with a link to local AKI guidelines. In addition, creatinine results >300 µ mol/L are retrospectively reviewed and phoned if AKI is suspected. For each alert over a 12-day period we manually reviewed previous and subsequent creatinine results to determine baseline creatinine and stage AKI according to Acute Kidney Injury Network (AKIN) criteria. Results: From 11, 930 creatinine requests, 63 of 90 (70%) delta check e-alerts were due to AKI, identifying 61 episodes of AKI. Thirty four of 54 (63%) creatinine results >300 µ mol/L were due to AKI, identifying a further 10 episodes of AKI. The positive predictive value (PPV) for AKI of a delta check e-alert was greater when the trigger creatinine was >100 µ mol/L (PPV 89%) or when the absolute change in creatinine was >50 µ mol/L (PPV 93%). Conclusion: This study demonstrates that a simple automated delta check can detect and flag AKI in real time, continuously, at little extra cost and without manual input. … (more)
- Is Part Of:
- Annals of clinical biochemistry. Volume 52:Number 2(2015:Mar.)
- Journal:
- Annals of clinical biochemistry
- Issue:
- Volume 52:Number 2(2015:Mar.)
- Issue Display:
- Volume 52, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 52
- Issue:
- 2
- Issue Sort Value:
- 2015-0052-0002-0000
- Page Start:
- 206
- Page End:
- 212
- Publication Date:
- 2015-03
- Subjects:
- Renal disease -- creatinine -- laboratory methods -- AKIN -- delta check
Clinical chemistry -- Periodicals
Clinical biochemistry -- Periodicals
616.075 - Journal URLs:
- http://web.ebscohost.com/ehost/detail?sid=810a7788-77dd-439f-9630-ad7f5b199fd3%40sessionmgr4&vid=1&hid=14&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=mnh&jid=0324055 ↗
http://acb.rsmjournals.com ↗
http://www.usc.edu/hsc/nml/e-resources/info/annclib.html ↗
http://www.uk.sagepub.com/home.nav ↗
http://www.ingentaconnect.com/content/rsm/acb ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1177/0004563214534832 ↗
- Languages:
- English
- ISSNs:
- 0004-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6267.xml