The goal of this observational pilot study is to evaluate the investigational AK+ Guard™ software as a medical device (SaMD) for detection of moderate to severe hyperkalemia (serum potassium (K+) ≥ 6.5 mmol/L) in adults with chronic kidney disease (CKD). Study objectives are: * Arm 2A (Outpatient Diagnostic Accuracy): To generate a preliminary, real-world signal of the diagnostic performance of AK+ Guard™ when used in an ambulatory CKD cohort for identifying clinically significant hyperkalemia episodes (serum K+ ≥ 6.5 mmol/L) at the time of an outpatient laboratory draw. * Arm 2B (Remote Patient Monitoring): To assess participant compliance, usability, and end-to-end system reliability of AK+ Guard™ when deployed for daily remote monitoring of CKD patients outside the clinical environment for up to four weeks.
The AK+ Guard™ application is an investigational Software as a Medical Device (SaMD) developed by AccurKardia, Inc. (New York, USA). It is designed to aid in the diagnosis of moderate to severe hyperkalemia (serum potassium ≥ 6.5 mmol/L) in adults using artificial intelligence analysis of Lead I electrocardiogram (ECG) data. The software is intended as a clinical decision support tool for adults at risk of hyperkalemia, including but not limited to those with end-stage renal disease (ESRD), chronic kidney disease (CKD) on renin-angiotensin-aldosterone system inhibitors, heart failure, adrenal disorders, and patients taking aldosterone synthase inhibitors. The AK+ Guard™ application analyzes only Lead I ECG signals, which may be obtained from standard 12-lead ECGs, clinical-grade ECG devices with Lead I capability, or consumer wearable devices (e.g., Apple Watch). This pilot study is designed to generate preliminary real-world evidence on both the diagnostic performance of the application and its usability in daily life. The study includes two arms: Arm 2A - Outpatient Diagnostic Accuracy: * Estimate sensitivity, specificity, PPV, and NPV of AK+ Guard™ in ambulatory CKD stages III-IV * Evaluate interoperability across selected Lead I ECG capture devices (Apple Watch, HeartBeam, and 12 lead reference) * Characterize system reliability metrics (upload success, algorithm runtime) in the outpatient setting Arm 2B - Remote Patient Monitoring * Quantify participant compliance, data completeness, and attrition during four week remote monitoring * Evaluate user experience using System Usability Scale (SUS) score, Net Promoter Score (NPS), and semi structured feedback * Capture technical performance metrics in a real world, unsupervised context
Study Type
OBSERVATIONAL
Enrollment
50
An investigational Software as a Medical Device (SaMD) that analyzes Lead I electrocardiogram (ECG) data using artificial intelligence to detect moderate to severe hyperkalemia (serum potassium ≥ 6.5 mmol/L). ECG inputs may be obtained from standard 12-lead ECGs, clinical-grade ECG devices with Lead I capability, or consumer wearable devices (e.g., Apple Watch, HeartBeam).
Central Jersey Kidney Care - Hypertension & Nephrology Associates
Eatontown, New Jersey, United States
RECRUITINGArm 2A: Sensitivity and specificity of AK+ Guard™ for detecting serum potassium greater than or equal to 6.5 mmol/L
Defined as serum K+ ≥ 6.5 mmol/L
Time frame: Baseline (Day 0)
Arm 2B: (a) Daily compliance rate (proportion of completed ECGs out of scheduled ECGs)
Time frame: Daily monitoring up to 4 weeks (Day 28)
Arm 2B: (b) Mean System Usability Scale (SUS) score
10-item scale with final score between 0 and 100. The SUS score is an index of perceived usability (not a percentage), with higher scores indicating better usability. A score above 68 is generally considered above average usability, while lower scores suggest more usability concerns. The reported outcome will be the mean SUS score across participants.
Time frame: Study completion at Week 4 (Day 28)
Arm 2B: (c) Net Promoter Score (NPS)
Participant-reported likelihood of recommending the system to others, measured on a 0-10 scale, with higher scores indicating greater likelihood to recommend. Individual responses are converted into a Net Promoter Score (NPS), which ranges from -100 to +100. Positive values (\>0) indicate overall customer loyalty and advocacy.
Time frame: Study completion at Week 4 (Day 28)
Arm 2A: Positive Predictive Value (PPV)
Percentage (%) of positive hyperkalemia alerts generated by AK+ Guard™ that are confirmed as true positives by outpatient laboratory results.
Time frame: Baseline (Day 0)
Arm 2A: Negative Predictive Value (NPV)
Percentage (%) of negative results generated by AK+ Guard™ that are confirmed as true negatives by outpatient laboratory results.
Time frame: Baseline (Day 0)
Arm 2A: Device specific concordance
Percentage (%) of device-detected results that agree with outpatient laboratory results.
Time frame: Baseline (Day 0)
Arm 2A: Algorithm runtime
Time in seconds (s) required for the AK+ Guard™ algorithm to complete analysis, defined as the total of transmission time, processing time, and time to return results.
Time frame: Baseline (Day 0)
Arm 2A: Upload success rate
Percentage (%) of attempted ECG uploads that successfully complete without failure.
Time frame: Baseline (Day 0)
Arm 2B: Data completeness
Percentage (%) of scheduled ECGs that are successfully completed.
Time frame: Daily monitoring up to 4 weeks (Day 28)
Arm 2B: System reliability (application ("app") crash rate, upload failure less than 2 percent (%))
Time frame: Daily monitoring up to 4 weeks (Day 28)
Arm 2B: Number of service calls per participant
Time frame: Daily monitoring up to 4 weeks (Day 28)
Arm 2B: False positive alarm rate (less than 20%)
Percentage (%) of alarms generated by AK+ Guard™ that are not confirmed as true clinical events by outpatient laboratory results.
Time frame: Daily monitoring up to 4 weeks (Day 28)
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