Artificial intelligence was predictive of care strategies for patients with diabetic kidney disease, a new study found.
Test results from the KidneyIntelX diagnostic tool were significantly tied to how a primary care physician tailored a patient's treatment strategy, reported Manasi Datar, PhD, of Boston Healthcare Associates in Massachusetts, and colleagues.
Specifically, having a patient with a high-risk KidneyIntelX result was associated with a 64% (OR 1.64, 95% CI 1.29-2.08) higher odds of a primary care physician prescribing an SGLT-2 inhibitor with a diabetic kidney disease indication, such as canagliflozin (Invokana) which gained this expanded indication in September 2019.
The prognostic test identifying a patient as high risk was also tied to a 49% higher odds of the primary care physician increasing the patient's angiotensin II receptor blocker (ARB) dose (OR 1.49, 95% CI1.17-1.89) compared with patients who did not undergo this test.