Background/aims: In February 2017, our laboratory implemented an electronic AKI flagging system for primary care using the NHS England AKI detection algorithm. Our study investigated the impact on patient follow-up, hospital admission, length of stay, and mortality.
Methods: Primary care results March 2017-February 2018 with an AKI test code were downloaded from the pathology computer.
Results: Over 12 months, 1,784 AKI episodes were identified; 81.3% AKI1, 11.3%, AKI2, and 7.5% AKI3. A repeat creatinine was requested within 14 days on 55% AKI1s, 84% AKI2s, and 86% AKI3s. Primary care took the repeat sample in 73.2% AKI1s and 56.7% AKI2s and acute hospital locations for 47.4% AKI3s. Median time to hospital admission was 34 days for AKI1, 6 for AKI2, and 1 for AKI3 (p < 0.05). Length of stay was found to be 1, 2, and 4 days for AKI 1/2/3, respectively (p < 0.05). The 90-day mortality for admitted patients was 15, 18, and 21% for AKI 1/2/3, respectively (p = 0.180). The 90-day mortality for the non-admitted patients was 4, 9, and 50% for AKI 1/2/3, respectively (p < 0.05). AKI patient outcome data pre versus post the start of the AKI flag system were compared. A statistically significant reduction was found in the median length of stay for AKI1 and AKI3 and in mortality for AKI1 and AKI3 patients and for all AKIs as a whole. A further analysis was performed to take into account the difference in pre- and post-alert populations. Mortality overall was significantly improved (p < 0.001), and length of stay was reduced in AKI3 patients (p = 0.048).
Discussion/conclusion: Our study demonstrates that an electronic AKI warning alert system for primary care appears to be associated with a beneficial impact on patient management and outcome.
Keywords: Acute kidney injury; Acute kidney injury alert system; Nephrology; Primary care.
© 2020 S. Karger AG, Basel.