The Stat Profile® Prime Plus Analyzer System is indicated for use by healthcare professionals in clinical laboratory settings and for point-of-care usage for quantitative determination of Sodium, Potassium, Chloride, Ionized Calcium, and Ionized Magnesium in heparinized arterial and venous whole blood. Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus, adrenal hypertension, Addison’s disease, dehydration, or diseases involving electrolyte imbalance. Potassium measurements are used in the diagnosis and treatment of disease conditions characterized by low or high potassium levels. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis. Ionized calcium measurements are used in the diagnosis and treatment of parathyroid disease, a variety of bone diseases, chronic renal disease and tetany (intermittent muscular contractions or spasms). Ionized magnesium measurements are used in the diagnosis and treatment of hypomagnesemia (abnormally low levels of magnesium) and hypermagnesemia (abnormally high levels of magnesium).
Device Story
Stat Profile® Prime Plus Analyzer System; automated blood gas analyzer for laboratory and point-of-care (POC) use. Inputs: heparinized arterial/venous whole blood (135 μL) via syringe or open tube. Operation: ion-selective electrode (ISE) technology; potential measured vs. reference electrode per Nernst equation. Outputs: quantitative electrolyte concentrations (Na, K, Cl, iCa, iMg) displayed on touchscreen. Operated by clinicians/POC staff; specimen ID via barcode or manual entry. Benefits: rapid electrolyte assessment for diagnosis/treatment of metabolic/electrolyte disorders. Output used by providers for clinical decision-making regarding patient electrolyte status.
Clinical Evidence
Clinical performance verified via POC study at 3 sites (CTICU, ED, RT lab) with 74 total personnel. Method comparison (n=426-435 samples) against lab methods showed high correlation (r=0.9871-0.9993) and slope (0.9820-1.0158). Within-run precision (n=10 replicates) across 9 operators showed %CVs ranging from 0.00% to 2.66% for whole blood samples. Total imprecision (20 runs) showed %CVs < 6.5%. Data confirms substantial equivalence to predicate.
Technological Characteristics
Potentiometric ion-selective electrode (ISE) sensing; measures ionic activity via Nernst equation. System includes analyzer, sensor cartridges, calibrator packs, and internal/external QC materials. Connectivity via barcode scanner/touchscreen. Electrical safety per IEC 61010-1; electromagnetic compatibility per IEC 60601-1-2. Standalone benchtop form factor.
Indications for Use
Indicated for healthcare professionals in clinical labs and point-of-care settings for quantitative measurement of Na, K, Cl, iCa, and iMg in heparinized arterial/venous whole blood. Used for diagnosis/treatment of electrolyte imbalances, aldosteronism, diabetes insipidus, adrenal hypertension, Addison's disease, dehydration, cystic fibrosis, diabetic acidosis, parathyroid disease, bone diseases, chronic renal disease, tetany, and magnesium level disorders.
Regulatory Classification
Identification
A sodium test system is a device intended to measure sodium in serum, plasma, and urine. Measurements obtained by this device are used in the diagnosis and treatment of aldosteronism (excessive secretion of the hormone aldosterone), diabetes insipidus (chronic excretion of large amounts of dilute urine, accompanied by extreme thirst), adrenal hypertension, Addison's disease (caused by destruction of the adrenal glands), dehydration, inappropriate antidiuretic hormone secretion, or other diseases involving electrolyte imbalance.
Predicate Devices
Stat Profile® Prime Plus Analyzer System (k180428)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY
I Background Information:
A 510(k) Number
k200403
B Applicant
Nova Biomedical Corporation
C Proprietary and Established Names
Stat Profile® Prime Plus Analyzer System
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JGS | Class II | 21 CFR 862.1665 - Sodium Test System | CH - Clinical Chemistry |
| JFP | Class II | 21 CFR 862.1145 - Calcium test system | CH - Clinical Chemistry |
| CEM | Class II | 21 CFR 862.1600 - Potassium test system | CH - Clinical Chemistry |
| CGZ | Class II | 21 CFR 862.1170 - Chloride test system | CH - Clinical Chemistry |
| CFA | Class I, reserved | 21 CFR 862.1495 - Magnesium test system | CH - Clinical Chemistry |
II Submission/Device Overview:
A Purpose for Submission:
Modification of a previously cleared device (k180428) – modify the intended use of the device to include Point-of-Care (POC) use.
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B Measurand:
Sodium (Na), Potassium (K), Chloride (Cl), Ionized Calcium (iCa) and Ionized Magnesium (iMg)
C Type of Test:
Quantitative, potentiometric, ion selective electrode
III Intended Use/Indications for Use:
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
The Stat Profile® Prime Plus Analyzer System is indicated for use by healthcare professionals in clinical laboratory settings and for point-of-care usage for quantitative determination of Sodium, Potassium, Chloride, Ionized Calcium, and Ionized Magnesium in heparinized arterial and venous whole blood.
Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus, adrenal hypertension, Addison’s disease, dehydration, or diseases involving electrolyte imbalance.
Potassium measurements are used in the diagnosis and treatment of disease conditions characterized by low or high potassium levels.
Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
Ionized calcium measurements are used in the diagnosis and treatment of parathyroid disease, a variety of bone diseases, chronic renal disease and tetany (intermittent muscular contractions or spasms).
Ionized magnesium measurements are used in the diagnosis and treatment of hypomagnesemia (abnormally low levels of magnesium) and hypermagnesemia (abnormally high levels of magnesium).
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
For clinical laboratory and point of care use.
D Special Instrument Requirements:
Stat Profile® Prime Plus Analyzer System
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IV Device/System Characteristics:
A Device Description:
The Stat Profile® Prime Plus Analyzer System is a small automatic blood gas analyzer for laboratory and point of care setting. It consists of the analyzer, sensor cartridges, calibrator packs, auto-cartridge quality control packs (internal controls), ampule quality control materials (external controls) and thermal paper for an onboard printer. Specimens may be identified by scanning a barcode or by manually entering the information via the touchscreen.
The Stat Profile® Prime Plus Analyzer has slots to accommodate two sensor cartridges (Primary and Auxiliary). The analyzer will determine the configuration of the system by detecting which sensor cards are installed. The reporting of CO-Oximeter parameters (or not reporting them) will also be determined by the selection of the Sensor Cards, for which there are two options:
- Primary Sensor Card 1 reports the following analytes: pO₂, pCO₂, pH, Hct, tHb, Na, Cl, K, iCa, iMg, Glu, SO₂, O₂Hb, COHb, MetHb, HHb, tBil, HbF
- Primary Sensor Card 2 reports the following analytes: pO₂, pCO₂, pH, Hct, tHb, Na, Cl, K, iCa, iMg, Glu, SO₂.
B Principle of Operation:
The sodium, potassium, chloride, ionized calcium and ionized magnesium parameters are measured by an ion-selective electrode (ISE) that selectively measures the activity of ionic species. When the ISE is contacted with a sample, a potential is developed. The potential is proportional to the logarithm of the ionic activity and is measured versus a reference electrode, as described by the Nernst equation.
V Substantial Equivalence Information:
A Predicate Device Name(s):
Stat Profile® Prime Plus Analyzer System
B Predicate 510(k) Number(s):
k180428
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C Comparison with Predicate(s):
| Device & Predicate Device(s): | k200403 | k180428 |
| --- | --- | --- |
| Device Trade Name | Stat Profile® Prime Plus Analyzer | Stat Profile® Prime Plus Analyzer |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | For in vitro diagnostic use for the determination of sodium, potassium, chloride, ionized calcium and ionized magnesium in heparinized arterial and venous whole blood | Same |
| Acceptable Sample Types | Lithium heparin venous and arterial whole blood from syringes and open tubes | Same |
| Sample Volume | 135 μL | Same |
| General Device Characteristic Differences | | |
| Settings for Use | Clinical laboratories and point-of-care settings | Clinical laboratories |
VI Standards/Guidance Documents Referenced:
IEC 61010-1:2010 – Safety Requirements for Electrical Equipment for Measurement, Control, and Laboratory Use - Part 1: General Requirements.
IEC 60601-1-2:2014 – Medical Electrical Equipment – Part 1-2: General Requirements for Basic Safety and Essential Performance – Collateral Standard: Electromagnetic Disturbances – Requirements and Tests.
VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
Three separate studies were conducted to evaluate the precision of Stat Profile® Prime Plus Analyzer for Na, K, Cl, iCa and iMg. The studies were conducted at three point-of-care (POC) sites including a Cardiothoracic Intensive Care Unit, an Emergency Department and a
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Respiratory Therapy Lab. A total of 61 respiratory care, 12 nursing, and 1 exercise physiology POC personnel participated from the 3 POC settings over the course of the studies.
a) Within-Run Precision using controls
Within-run precision of the Stat Profile® Prime Plus Analyzer System in the hands of POC operators was assessed using QC levels of Quality Control (QC) materials and one level of linearity material (LN) to cover the measuring range for each analyte. Each sample was analyzed in replicates of 20 using three Stat Profile® Prime Plus Analyzer Systems. All three POC sites produced similar results. Representative within-run precision results from one site are summarized in the table below:
Within Run Precision - one representative POC site
| Analyte | N=20 | QC Level 4 | LN Level 1 | LN Level 4 |
| --- | --- | --- | --- | --- |
| Na^{+} (mmol/L) | Mean | 137.1 | 90.8 | 170.8 |
| | SD | 0.3 | 1.0 | 0.4 |
| | % CV | 0.2 | 1.0 | 0.2 |
| K^{+} (mmol/L) | Mean | 3.93 | 1.69 | 11.83 |
| | SD | 0.04 | 0.03 | 0.06 |
| | % CV | 1.1 | 1.8 | 0.5 |
| Cl^{-} (mmol/L) | Mean | 122.9 | 61.1 | 132.8 |
| | SD | 0.4 | 1.1 | 0.4 |
| | % CV | 0.4 | 1.8 | 0.3 |
| iCa^{2+} (mmol/L) | Mean | 1.06 | 2.28 | 0.47 |
| | SD | 0.02 | 0.02 | 0.00 |
| | % CV | 1.6 | 0.9 | 1.0 |
| iMg^{2+} (mmol/L) | Mean | 0.61 | 1.27 | 0.24 |
| | SD | 0.01 | 0.04 | 0.00 |
| | % CV | 1.0 | 3.4 | 1.4 |
b) Total Imprecision using controls
Total imprecision of the Stat Profile® Prime Plus Analyzer System in the hands of POC operators was assessed using three levels of QC materials/Linearity materials, three Stat Profile® Prime Plus Analyzer Systems and four different lots of calibration cartridges. For each run, each sample was run in duplicate each day for a total of 20 days (a total of 40 replicates per sample). All three POC sites produced similar results. Representative total imprecision results from one site are summarized in the table below:
Total Imprecision – one representative POC site
| Analyte | N | Mean | Within Run SD | Within Run %CV | Total SD | Total %CV |
| --- | --- | --- | --- | --- | --- | --- |
| QC Level 4 | | | | | | |
| Na^{+} (mmol/L) | 40 | 136.7 | 0.5 | 0.4 | 0.5 | 0.4 |
| K^{+} (mmol/L) | 40 | 3.90 | 0.05 | 1.2 | 0.07 | 1.9 |
| Cl^{-} (mmol/L) | 40 | 95.0 | 0.5 | 0.5 | 0.7 | 0.7 |
| iCa^{2+} (mmol/L) | 40 | 1.06 | 0.04 | 3.8 | 0.04 | 3.8 |
| iMg^{2+} (mmol/L) | 40 | 0.60 | 0.02 | 2.9 | 0.03 | 5.5 |
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| Analyte | N | Mean | Within Run SD | Within Run %CV | Total SD | Total %CV |
| --- | --- | --- | --- | --- | --- | --- |
| QC Level 5 | | | | | | |
| Na+(mmol/L) | 40 | 109.9 | 0.4 | 0.4 | 0.6 | 0.5 |
| K+(mmol/L) | 40 | 6.35 | 0.07 | 1.0 | 0.09 | 1.5 |
| Cl-(mmol/L) | 40 | 95.0 | 0.4 | 0.4 | 0.6 | 0.6 |
| iCa2+(mmol/L) | 40 | 1.52 | 0.08 | 5.3 | 0.10 | 6.8 |
| iMg2+(mmol/L) | 40 | 1.08 | 0.03 | 3.1 | 0.06 | 5.7 |
| LN Level 4 | | | | | | |
| Na+(mmol/L) | 40 | 169.7 | 0.6 | 0.3 | 0.6 | 0.3 |
| K+(mmol/L) | 40 | 12.15 | 0.07 | 0.6 | 0.11 | 0.9 |
| Cl-(mmol/L) | 40 | 133.0 | 0.7 | 0.5 | 1.4 | 1.0 |
| iCa2+(mmol/L) | 40 | 0.46 | 0.00 | 1.0 | 0.01 | 1.1 |
| iMg2+(mmol/L) | 40 | 0.25 | 0.02 | 7.7 | 0.02 | 7.9 |
# c) Precision using whole blood samples
A whole blood within-run precision study was performed at three POC sites by a total of nine POC operators using three Stat Profile® Prime Plus Analyzer Systems (one at each site). Five different native venous samples and two altered venous samples were analyzed in replicates of 10 at each site. The results from each site are presented in the tables below.
Point-of-care site 1
| Analyte | Sample | N | Mean | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| Na+(mmol/L) | 1 | 10 | 141.8 | 0.49 | 0.35 |
| | 2 | 10 | 140.6 | 0.41 | 0.29 |
| | 3 | 10 | 134.5 | 0.31 | 0.23 |
| | 4 | 10 | 135.4 | 0.29 | 0.21 |
| | 5 | 10 | 134.5 | 0.36 | 0.26 |
| | 6 (altered) | 10 | 133.7 | 0.36 | 0.27 |
| | 7 (altered) | 10 | 139.3 | 0.27 | 0.19 |
| K+(mmol/L) | 1 | 10 | 4.0 | 0.03 | 0.69 |
| | 2 | 10 | 4.3 | 0.02 | 0.45 |
| | 3 | 10 | 3.7 | 0.01 | 0.36 |
| | 4 | 10 | 2.9 | 0.02 | 0.81 |
| | 5 | 10 | 3.8 | 0.02 | 0.40 |
| | 6 (altered) | 10 | 8.56 | 0.15 | 1.73 |
| | 7 (altered) | 10 | 7.45 | 0.06 | 0.80 |
| Cl-(mmol/L) | 1 | 10 | 104.0 | 0.47 | 0.45 |
| | 2 | 10 | 105.1 | 0.57 | 0.54 |
| | 3 | 10 | 99.8 | 0.63 | 0.63 |
| | 4 | 10 | 107.5 | 0.53 | 0.49 |
| | 5 | 10 | 101.4 | 0.52 | 0.51 |
| | 6 (altered) | 10 | 103.1 | 0.57 | 0.55 |
| | 7 (altered) | 10 | 105.4 | 0.70 | 0.66 |
| iCa2+(mmol/L) | 1 | 10 | 1.30 | 0.01 | 0.80 |
| | 2 | 10 | 1.29 | 0.01 | 0.68 |
| | 3 | 10 | 1.42 | 0.01 | 0.49 |
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| Analyte | Sample | N | Mean | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| | 4 | 10 | 1.23 | 0.01 | 0.46 |
| | 5 | 10 | 1.20 | 0.01 | 0.53 |
| | 6 (altered) | 10 | 1.24 | 0.01 | 0.68 |
| | 7 (altered) | 10 | 1.28 | 0.01 | 0.72 |
| iMg2+(mmol/L) | 1 | 10 | 0.64 | 0.02 | 2.87 |
| | 2 | 10 | 0.61 | 0.00 | 0.79 |
| | 3 | 10 | 0.71 | 0.01 | 0.75 |
| | 4 | 10 | 0.51 | 0.01 | 1.40 |
| | 5 | 10 | 0.65 | 0.01 | 0.98 |
| | 6 (altered) | 10 | 0.58 | 0.00 | 0.81 |
| | 7 (altered) | 10 | 0.58 | 0.01 | 1.16 |
Point-of-care site 2
| Analyte | Sample | N | Mean | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| Na+(mmol/L) | 1 | 10 | 123.7 | 0.82 | 0.67 |
| | 2 | 10 | 138.2 | 0.42 | 0.31 |
| | 3 | 10 | 141.1 | 0.32 | 0.22 |
| | 4 | 10 | 142.9 | 0.57 | 0.40 |
| | 5 | 10 | 137.9 | 0.32 | 0.23 |
| | 6 (altered) | 10 | 133.6 | 0.70 | 0.52 |
| | 7 (altered) | 10 | 138.3 | 0.67 | 0.49 |
| K+(mmol/L) | 1 | 10 | 4.71 | 0.03 | 0.67 |
| | 2 | 10 | 1.94 | 0.05 | 2.66 |
| | 3 | 10 | 4.02 | 0.04 | 1.05 |
| | 4 | 10 | 4.11 | 0.03 | 0.77 |
| | 5 | 10 | 3.30 | 0.00 | 0.00 |
| | 6 (altered) | 10 | 3.73 | 0.05 | 1.30 |
| | 7 (altered) | 10 | 7.91 | 0.09 | 1.11 |
| Cl-(mmol/L) | 1 | 10 | 88.6 | 0.52 | 0.58 |
| | 2 | 10 | 116.8 | 0.63 | 0.54 |
| | 3 | 10 | 103.8 | 0.42 | 0.41 |
| | 4 | 10 | 103.0 | 0.00 | 0.00 |
| | 5 | 10 | 109.1 | 0.32 | 0.29 |
| | 6 (altered) | 10 | 104.4 | 0.70 | 0.67 |
| | 7 (altered) | 10 | 109.6 | 0.52 | 0.47 |
| iCa2+(mmol/L) | 1 | 10 | 1.24 | 0.01 | 0.43 |
| | 2 | 10 | 0.75 | 0.01 | 1.13 |
| | 3 | 10 | 1.28 | 0.01 | 0.40 |
| | 4 | 10 | 1.31 | 0.01 | 0.54 |
| | 5 | 10 | 0.98 | 0.01 | 0.52 |
| | 6 (altered) | 10 | 1.13 | 0.01 | 0.95 |
| | 7 (altered) | 10 | 1.22 | 0.01 | 0.61 |
| iMg2+(mmol/L) | 1 | 10 | 0.56 | 0.01 | 1.50 |
| | 2 | 10 | 0.31 | 0.01 | 2.63 |
| | 3 | 10 | 0.61 | 0.00 | 0.52 |
| | 4 | 10 | 0.62 | 0.01 | 1.02 |
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| Analyte | Sample | N | Mean | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| | 5 | 10 | 0.46 | 0.00 | 0.91 |
| | 6 (altered) | 10 | 0.48 | 0.01 | 2.29 |
| | 7 (altered) | 10 | 0.58 | 0.01 | 0.98 |
Point-of-care site 3
| Analyte | Sample | N | Mean | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| Na+(mmol/L) | 1 | 10 | 118.8 | 0.42 | 0.35 |
| | 2 | 10 | 143.8 | 0.42 | 0.29 |
| | 3 | 10 | 140.1 | 0.32 | 0.23 |
| | 4 | 10 | 134.2 | 0.42 | 0.31 |
| | 5 | 10 | 133.0 | 0.00 | 0.00 |
| | 6 (altered) | 10 | 134.0 | 0.00 | 0.00 |
| | 7 (altered) | 10 | 139.1 | 0.57 | 0.41 |
| K+(mmol/L) | 1 | 10 | 7.0 | 0.05 | 0.69 |
| | 2 | 10 | 4.1 | 0.04 | 1.03 |
| | 3 | 10 | 4.1 | 0.04 | 1.02 |
| | 4 | 10 | 4.0 | 0.00 | 0.00 |
| | 5 | 10 | 3.5 | 0.00 | 0.00 |
| | 6 (altered) | 10 | 8.43 | 0.07 | 0.80 |
| | 7 (altered) | 10 | 8.35 | 0.22 | 2.66 |
| Cl-(mmol/L) | 1 | 10 | 92.5 | 0.53 | 0.57 |
| | 2 | 10 | 104.2 | 0.42 | 0.40 |
| | 3 | 10 | 107.5 | 0.53 | 0.49 |
| | 4 | 10 | 102.0 | 0.00 | 0.00 |
| | 5 | 10 | 97.0 | 0.00 | 0.00 |
| | 6 (altered) | 10 | 103.1 | 0.88 | 0.85 |
| | 7 (altered) | 10 | 104.9 | 0.57 | 0.54 |
| iCa2+(mmol/L) | 1 | 10 | 1.14 | 0.005 | 0.46 |
| | 2 | 10 | 1.33 | 0.004 | 0.32 |
| | 3 | 10 | 1.25 | 0.00 | 0.00 |
| | 4 | 10 | 1.57 | 0.01 | 0.40 |
| | 5 | 10 | 1.51 | 0.01 | 0.76 |
| | 6 (altered) | 10 | 1.26 | 0.01 | 0.54 |
| | 7 (altered) | 10 | 1.27 | 0.01 | 0.85 |
| iMg2+(mmol/L) | 1 | 10 | 0.54 | 0.00 | 0.90 |
| | 2 | 10 | 0.60 | 0.01 | 0.85 |
| | 3 | 10 | 0.58 | 0.00 | 0.00 |
| | 4 | 10 | 0.66 | 0.01 | 1.02 |
| | 5 | 10 | 0.67 | 0.01 | 1.43 |
| | 6 (altered) | 10 | 0.57 | 0.00 | 0.55 |
| | 7 (altered) | 10 | 0.56 | 0.00 | 0.57 |
# 2. Linearity:
Previously established in k180428.
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3. Analytical Specificity/Interference:
Previously established in k180428.
4. Assay Reportable Range:
Previously established in k180428.
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
Previously established in k180428.
6. Detection Limit:
Previously established in k180428.
| Analyte | Measuring range (mmol/L) |
| --- | --- |
| Na+ | 80 - 200 |
| K+ | 1.0 - 20.0 |
| Cl- | 50 - 200 |
| iCa2+ | 0.1 - 2.7 |
| iMg2+ | 0.1 - 1.5 |
7. Assay Cut-Off:
Not applicable.
B Comparison Studies:
1. Method Comparison with Predicate Device:
Method comparison studies were conducted at three POC sites - a Cardiothoracic Intensive Care Unit, an Emergency Department and a Respiratory Therapy Lab. Lithium heparinized arterial and venous whole blood specimens were analyzed in singlet using three Stat Profile® Prime Plus analyzers (one at each site) by 65 POC staff members (13, 21 and 31 POC staff members within each testing site, respectively, including a total of 52 respiratory care, 12 nursing, and 1 exercise physiology POC personnel). In order to cover the claimed measuring range for each analyte, less than $10\%$ of samples for each analyte were altered. The clinical results obtained by POC staff members were compared to results obtained by trained healthcare professionals from the same whole blood specimens. Each of the three sites produced similar method comparison data. Linear regression analysis for venous and arterial whole blood method comparison for all POC sites combined is presented in the table below.
Venous and arterial whole blood method comparison - POC vs. Laboratory Operators (combined sites)
| Analyte | N | Sample concentration range | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| Na+ (mmol/L) | 432 | 90.0 – 187.0 | 0.9964 | 0.4488 | 0.9949 |
| K+ (mmol/L) | 432 | 90.0 – 187.0 | 0.9964 | 0.4488 | 0.9949 |
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| Analyte | N | Sample concentration range | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| K+ (mmol/L) | 435 | 1.10 – 17.60 | 1.0158 | -0.0678 | 0.9993 |
| Cl- (mmol/L) | 434 | 56.0 – 173.0 | 0.9963 | 0.4416 | 0.9971 |
| iCa2+ (mmol/L) | 434 | 0.51 – 2.48 | 0.9820 | 0.0239 | 0.9871 |
| iMg2+ (mmol/L) | 426 | 0.24 – 1.36 | 1.0020 | -0.0021 | 0.9910 |
2. Matrix Comparison:
Not applicable. The only acceptable sample type for this device is lithium heparin whole blood.
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable.
2. Clinical Specificity:
Not applicable.
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable.
D Clinical Cut-Off:
Not applicable.
E Expected Values/Reference Range:
Previously established in k180428.
VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.