| 摘要 |
Techniques for generating a heart failure risk score with detected patient metrics are described. An implantable medical device (IMD) may collect and store patient data regarding therapy use statistics, thoracic impedance, heart rate, patient activity, and other patient metrics. Based on the number of patient metrics exceeding their respective metric thresholds, the IMD may automatically generate a risk score that indicates the likelihood that the patient will suffer from heart failure. The risk score may identify a patient as requiring immediate medical attention to reduce the risk of heart failure. The IMD may push an alert of the heart failure risk score to a clinician, and the clinician may review the patient metric data on an external device. In some examples, a clinician may prioritize patient treatment with a presented list ranking patients with the most severe heart failure risk scores.
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