K191626 · Nova Biomedical Corporation · JFP · Aug 16, 2019 · Clinical Chemistry
Device Facts
Record ID
K191626
Device Name
Stat Profile Prime ES Comp Plus Analyzer System
Applicant
Nova Biomedical Corporation
Product Code
JFP · Clinical Chemistry
Decision Date
Aug 16, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1145
Device Class
Class 2
Indications for Use
The Stat Profile Prime ES Comp Plus Analyzer System is intended for in vitro diagnostic use by health care professionals in clinical laboratory settings for the quantitative determination of pH, Hematocrit, Ionized Calcium and Ionized Magnesium in heparinized venous whole blood, and pH. Ionized Calcium and Ionized Magnesium in plasma and serum.
Device Story
Stat Profile Prime ES Comp Plus Analyzer is a microprocessor-based, benchtop blood electrolyte analyzer for clinical laboratory use. It accepts lithium heparinized whole blood (syringes, open tubes, cups), serum, or plasma. Device utilizes ion-selective electrode (ISE) technology for pH, ionized calcium, and ionized magnesium, and impedance sensing for hematocrit. System features automated sampling, calibration, and quality management. User interface includes a 5.7" VGA touch screen, thermal printer, and integrated barcode scanner. Output provides quantitative analyte concentrations and calculated parameters (e.g., temperature-corrected pH, normalized calcium/magnesium). Healthcare professionals use results to diagnose and manage metabolic, renal, and acid-base conditions. Device benefits include rapid, automated point-of-care or lab-based testing to guide clinical decision-making.
Clinical Evidence
No clinical trials performed. Analytical performance established via bench testing: precision (within-run and run-to-run), linearity, interference, and method comparison against the predicate. Method comparison (N=150-191 whole blood, 100-121 plasma, 100-115 serum) showed high correlation (r² > 0.98) across all analytes. LoB, LoD, and LoQ determined per CLSI EP17-A2.
Technological Characteristics
Microprocessor-based analyzer; ion-selective electrodes (ISE) for iCa, iMg, pH; impedance sensor for Hct. Dimensions/form factor: benchtop analyzer with sensor card housing. Connectivity: barcode reader, onboard printer, QMS. Calibration: automated via sealed pouches. Sterilization: N/A (in vitro diagnostic).
Indications for Use
Indicated for use by healthcare professionals in clinical laboratories for quantitative measurement of pH, Hct, iCa, and iMg in heparinized venous whole blood, plasma, and serum to assist in diagnosing/treating parathyroid disease, bone disease, renal disease, tetany, magnesium imbalances, acid-base disturbances, anemia, and erythrocytosis. Not for point-of-care use.
Regulatory Classification
Identification
A calcium test system is a device intended to measure the total calcium level in serum. 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).
Predicate Devices
Nova Stat Profile pHOx Ultra Blood Gas Analyzer (K110648)
Submission Summary (Full Text)
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Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
I Background Information:
A 510(k) Number
K191626
B Applicant
Nova Biomedical Corporation
C Proprietary and Established Names
Stat Profile Prime ES Comp Plus Analyzer System
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JFP | Class II | 21 CFR 862.1145 – Calcium test system | CH - Clinical Chemistry |
| CHL | Class II | 21 CFR 862.1120 - Blood Gases (PCO2, PO2) And Blood Ph Test System | CH - Clinical Chemistry |
| CFA | Class I, reserved | 21 CFR 862.1495 - Magnesium test system | CH - Clinical Chemistry |
| GKF | Class II | 21 CFR 864.6400 - Hematocrit measuring device | HE - Hematology |
II Submission/Device Overview:
A Purpose for Submission:
New device
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B Measurand:
Ionized calcium (iCa), Ionized magnesium (iMg), pH and Hematocrit (Hct)
C Type of Test:
iCa, iMg and pH – Quantitative, ion selective sensor
Hct – quantitative, impedance sensor
III Intended Use/Indications for Use:
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
The Stat Profile Prime ES Comp Plus Analyzer System is intended for in vitro diagnostic use by health care professionals in clinical laboratory settings for the quantitative determination of pH, Hematocrit, Ionized Calcium and Ionized Magnesium in heparinized venous whole blood, and pH, Ionized Calcium and Ionized Magnesium in plasma and serum.
Ionized Calcium (iCa) 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 (iMg) measurements are used in the diagnosis and treatment of hypomagnesemia (abnormally low levels of magnesium) and hypermagnesemia (abnormally high levels of magnesium).
pH measurements are used in the diagnosis and treatment of life-threatening acid-base disturbances.
Hematocrit measurements of the packed red blood cell volume are used to distinguish normal from abnormal states, such as anemia and erythrocytosis.
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
Not for Point-of-care use
D Special Instrument Requirements:
Stat Profile Prime ES Comp Plus Analyzer System
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## IV Device/System Characteristics:
### A Device Description:
The Stat Profile Prime ES Comp Plus Analyzer is a blood electrolyte analyzer. It consists of the analyzer, sensor cartridges, and thermal paper for an onboard printer. Optionally, it provides for reading of barcode labels (such as operator badges and data sheets). The Stat Profile Prime ES Comp Plus Analyzer has an enhanced test menu and multiple quality control options. External Control Solutions (ampules) shall be offered, as well as an on-board Quality Management System (QMS), an electronic monitoring approach that insures the analyzer is working properly.
The Stat Profile Prime ES Comp Plus Analyzer can accommodate either of two sensor cards in the sensor card housing. The analyzer will determine the test configuration of the system by detecting which sensor card is installed. The two options for the sensor card are:
- Sensor Card 1 (Basic Electrolyte Panel plus Hct) shall enable and report the following listed analytes: Hct, Na, K, Cl
- Sensor Card 2 (Full Electrolyte Panel plus pH & Hct) shall enable and report the following listed analytes: pH, Hct, Na, K, Cl, iCa, iMg
The Stat Profile Prime ES Comp Plus Analyzer is microprocessor-based and incorporates ion selective electrode technology to measure pH, ionized calcium, ionized magnesium.
The Prime ES Comp Plus can be configured with an optional sample tray, which allows the user to run up to 10 consecutive samples. Tray samples may be any combination of Serum/Plasma or control solutions. Whole Blood samples may only be run in STAT Mode (not tray mode). Calibration standards are provided in sealed pouches within a calibrator pack. Liquid quality control materials are available as external ampules. Sampling and calibration are fully automated. The Stat Profile Prime ES Comp Plus Analyzer accepts lithium heparinized whole blood sample from syringes, open tubes, and small cups. The minimum sample sizes for analysis is 100 µL.
### B Principle of Operation:
#### iCa, iMg, pH
The parameters are measured by ion-selective electrodes (ISE) selectively measures the activity of ionic species (iCa, iMg, or hydrogen ion). When the ISE is contacted with a sample, 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.
#### Hct
Hematocrit results are obtained by an impedance sensor measuring electrical resistance of the blood sample. Two standard solutions are used to calibrate the hematocrit sensor and to obtain the slope. The analyzer then measures the electrical resistance of the blood sample to obtain the hematocrit value.
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V Substantial Equivalence Information:
A Predicate Device Name(s):
Nova Stat Profile pHOx Ultra Analyzer System
B Predicate 510(k) Number(s):
K110648
C Comparison with Predicate(s):
| Device & Predicate Device(s): | K191626 | K110648 |
| --- | --- | --- |
| Device Trade Name | Stat Profile Prime ES Comp Plus Analyzer System | Nova Stat Profile pHOx Ultra Analyzer System |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | Quantitative measurement of iCa, iMg, pH, and Hct in heparinized venous whole blood, and pH, ionized calcium and ionized magnesium in plasma and serum. | Same |
| Measurement Principle | iCa, iMg, pH: Ion-selective sensor
Hct: Impedance Sensor | Same |
| Measurement Range - iMg | 0.1-1.5 mmol/L | Same |
| Measurement Range - pH | 6.500-8.000 | Same |
| Measurement Range - Hct | 12-70% | Same |
| General Device Characteristic Differences | | |
| Measurement Range - iCa | 0.20-2.70 mmol/L | 0.10-2.70 mmol/L |
| Intended User | Central Laboratory | Central Laboratory and Point-of-Care |
| Sample Type | Lithium heparin whole blood, serum and lithium heparin plasma samples | Sodium or lithium heparinized whole blood, serum, or plasma samples |
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VI Standards/Guidance Documents Referenced:
- CLSI EP05-A3: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline – Third Edition.
- CSLI EP06-A Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline.
- CLSI EP07-A3 Interference Testing in Clinical Chemistry; Approved Guideline - Third Edition.
- CLSI EP-17A Protocols fort Determination of Limits of Detection and Limits of Quantitation; Approved Guideline.
- EP25-A: Evaluation of In Vitro Diagnostic Reagents; Approved Guideline.
VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
Within-Run Precision:
The study was performed following the CLSI EP05-A3 guideline. Within-Run and between-analyzer precision study was performed using two levels of quality control (QC) materials, whole blood, serum and plasma on three Stat Profile Prime ES Comp Plus analyzers. Each sample was tested in one run in replicates of 20 on each of the three analyzers. The results of one representative analyzer are summarized in the tables below:
Within-run precision using External Quality samples:
| Parameter | n=20 | External Control Level 1 | External Control Level 2 |
| --- | --- | --- | --- |
| iCa (mmol/L) | Mean | 1.15 | 1.89 |
| | SD | 0.004 | 0.02 |
| | CV% | 0.3 | 1.0 |
| iMg (mmol/L) | Mean | 0.47 | 1.09 |
| | SD | 0.01 | 0.01 |
| | CV% | 1.2 | 1.0 |
| pH | Mean | 7.37 | 7.51 |
| | SD | 0.003 | 0.002 |
| Hct (%) | Mean | 51 | 65 |
| | SD | 0.04 | 0.8 |
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Within-run precision using whole blood samples:
| iCa (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.71 | 0.003 | 0.4 |
| Sample 2 | 1.29 | 0.01 | 0.5 |
| Sample 3 | 1.85 | 0.004 | 0.2 |
| iMg (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.19 | 0.004 | 1.9 |
| Sample 2 | 0.50 | 0.01 | 1.8 |
| Sample 3 | 1.00 | 0.01 | 0.7 |
| pH (n=20) | | |
| --- | --- | --- |
| Sample | Mean | SD |
| Sample 1 | 7.18 | 0.008 |
| Sample 2 | 7.43 | 0.004 |
| Sample 3 | 7.73 | 0.004 |
| Hct (%) (n=20) | | |
| --- | --- | --- |
| Sample | Mean | SD |
| Sample 1 | 25 | 0.3 |
| Sample 2 | 48 | 0.3 |
| Sample 3 | 64 | 0.6 |
Within-run precision using lithium heparin plasma samples
| iCa (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.81 | 0.01 | 0.7 |
| Sample 2 | 1.22 | 0.002 | 0.2 |
| Sample 3 | 1.53 | 0.003 | 0.2 |
| iMg (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.19 | 0.004 | 1.9 |
| Sample 2 | 0.52 | 0.01 | 1.1 |
| Sample 3 | 1.29 | 0.004 | 0.3 |
| pH (n=20) | | |
| --- | --- | --- |
| Sample | Mean | SD |
| Sample 1 | 7.15 | 0.010 |
| Sample 2 | 7.45 | 0.004 |
| Sample 3 | 7.76 | 0.005 |
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Within-run precision using serum samples
| iCa (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.87 | 0.01 | 1.1 |
| Sample 2 | 1.21 | 0.002 | 0.1 |
| Sample 3 | 1.57 | 0.003 | 0.2 |
| iMg (mmol/L) (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 0.20 | 0.01 | 2.6 |
| Sample 2 | 0.46 | 0.01 | 1.5 |
| Sample 3 | 1.31 | 0.01 | 1.0 |
| pH (n=20) | | |
| --- | --- | --- |
| Sample | Mean | SD |
| Sample 1 | 7.17 | 0.009 |
| Sample 2 | 7.43 | 0.006 |
| Sample 3 | 7.78 | 0.015 |
# Run-to-run precision:
Run-to-run precision was assessed by analyzing QC samples, each sample was tested in duplicate per run, 2 runs per day, 3 analyzers performed over 20 days. The summary results for the four analyte test systems are shown below:
Run-to-run precision using External QC samples:
| iCa (mmol/L) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | Pooled mean | N | Within run | | Total imprecision | |
| | | | SD | %CV | SD | %CV |
| QC level 1 | 1.15 | 240 | 0.01 | 0.9 | 0.01 | 0.9 |
| QC level 2 | 1.88 | 240 | 0.01 | 0.5 | 0.01 | 0.5 |
| iMg (mmol/L) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | Pooled mean | N | Within run | | Total imprecision | |
| | | | SD | %CV | SD | %CV |
| QC level 1 | 0.47 | 240 | 0.007 | 1.4 | 0.01 | 2.1 |
| QC level 2 | 1.09 | 240 | 0.01 | 0.9 | 0.04 | 3.7 |
| pH | | | | |
| --- | --- | --- | --- | --- |
| Sample | Pooled mean | N | Within run SD | Total imprecision SD |
| QC level 1 | 7.374 | 240 | 0.002 | 0.003 |
| QC level 2 | 7.550 | 240 | 0.002 | 0.002 |
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| Hct (%) | | | | |
| --- | --- | --- | --- | --- |
| Sample | Pooled mean | N | Within run SD | Total imprecision SD |
| QC level 1 | 51 | 240 | 0.3 | 0.4 |
| QC level 2 | 66 | 240 | 0.5 | 0.6 |
Run-to-run precision using whole blood, plasma, and serum samples:
To assess run-to-run precision whole blood, plasma and serum samples, triplicate analysis was performed using each of the three sample matrices in ten separate runs on three analyzers for a total of 30 data sets. The systems were recalibrated before each triplicate run. Samples were analyzed on three analyzers. The results from one representative analyzer are summarized in the table below:
Lithium heparin whole blood:
| Parameter | N=30 | Sample 1 | Sample 2 | Sample 3 |
| --- | --- | --- | --- | --- |
| iCa (mmol/L) | Mean | 0.83 | 1.22 | 1.6 |
| | SD | 0.003 | 0.003 | 0.02 |
| | CV% | 0.3 | 0.2 | 1.3 |
| iMg (mmol/L) | Mean | 0.21 | 0.45 | 1.46 |
| | SD | 0.005 | 0.003 | 0.02 |
| | CV% | 2.3 | 0.7 | 1.0 |
| pH | Mean | 7.12 | 7.37 | 7.64 |
| | SD | 0.016 | 0.003 | 0.015 |
| Hct (%) | Mean | 17 | 44 | 63 |
| | SD | 1.1 | 0.4 | 0.7 |
Lithium heparin plasma
| Parameter | N=30 | Sample 1 | Sample 2 | Sample 3 |
| --- | --- | --- | --- | --- |
| iCa (mmol/L) | Mean | 0.87 | 1.19 | 1.65 |
| | SD | 0.01 | 0.00 | 0.01 |
| | CV% | 0.8 | 0.4 | 0.6 |
| iMg (mmol/L) | Mean | 0.23 | 0.50 | 1.27 |
| | SD | 0.01 | 0.01 | 0.01 |
| | CV% | 2.3 | 1.5 | 1.0 |
| pH | Mean | 7.19 | 7.48 | 7.77 |
| | SD | 0.011 | 0.005 | 0.010 |
Serum
| Parameter | N=30 | Sample 1 | Sample 2 | Sample 3 |
| --- | --- | --- | --- | --- |
| iCa (mmol/L) | Mean | 0.86 | 1.10 | 1.61 |
| | SD | 0.01 | 0.01 | 0.004 |
| | CV% | 1.2 | 0.8 | 0.2 |
| iMg (mmol/L) | Mean | 0.22 | 0.48 | 1.27 |
| | SD | 0.002 | 0.002 | 0.01 |
| | CV% | 0.9 | 0.4 | 1.0 |
| pH | Mean | 7.14 | 7.40 | 7.67 |
| | SD | 0.013 | 0.007 | 0.015 |
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2. Linearity:
The linearity studies were performed following the CLSI EP6-A guideline to establish the analytical measurement range for each test system. The studies were performed on three analyzers using lithium heparinized venous whole blood, lithium heparin plasma and serum for pH, iCa, and iMg. Only lithium heparin whole blood was tested for Hct. Low and high concentration pools were mixed to create 9-11 serial dilution samples that were tested in triplicate. The results from each candidate analyzer for each parameter were compared to the expected values. All three analyzers yielded similar results. The results of the least squares linear regression analysis from one representative analyzer are summarized below:
Lithium heparin whole blood:
| Analyte | Claimed Measuring Range | Sample Range Tested | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 0.1-2.7 | 0.07-2.84 | 1.0068 | -0.0241 | 0.9997 |
| iMg (mmol/L) | 0.1-1.5 | 0.09-1.66 | 1.0080 | 0.0004 | 0.9996 |
| pH | 6.5-8.0 | 6.42-8.23 | 1.0031 | -0.0231 | 0.9997 |
| Hct (%) | 12-70 | 9-72 | 0.9873 | 0.8159 | 0.9986 |
Lithium heparin plasma:
| Analyte | Claimed Measuring Range | Sample Range Tested | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 0.1-2.7 | 0.08-2.81 | 1.0079 | -0.0064 | 0.9997 |
| iMg (mmol/L) | 0.1-1.5 | 0.09-1.73 | 1.0089 | 0.0103 | 0.9988 |
| pH | 6.5-8.0 | 6.38-8.19 | 0.9898 | 0.0734 | 0.9996 |
Serum:
| Analyte | Claimed Measuring Range | Sample Range Tested | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 0.1-2.7 | 0.08-2.90 | 0.9941 | 0.0252 | 0.9998 |
| iMg (mmol/L) | 0.1-1.5 | 0.09-1.62 | 1.0169 | -0.0010 | 0.9993 |
| pH | 6.5-8.0 | 6.43-8.10 | 0.9878 | 0.0923 | 0.9997 |
The linear regression results support the claimed measuring ranges, as summarized in the tables above.
3. Analytical Specificity/Interference:
Interference studies were performed according to CLSI EP07-A3 guideline. The sponsor collected serum sample and plasma from donors. Samples were divided to create two separate pools one for control and the other for test samples. The potential interferents were tested at two analyte concentrations. If interference was identified, then a dose response was performed to determine the lowest concentration where the interfering substance may alter the results. For all analytes, the sponsor defined interference as $> \pm 10\%$ bias from the test concentration when compared to the control sample.
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The results of the interference study for whole blood, serum, and plasma samples are summarized below:
iCa:
| Interferent | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Acetoacetate | 2 mmol/L |
| Acetylsalicyclic acid | 3.62 mmol/L |
| Ammonium chloride | 107 μmol/L |
| Ascorbic acid | 50 mg/dL |
| Benzalkonium chloride | 10 mg/L |
| Bilirubin | 342 μmol/L |
| Dobutamine | 2 mg/dL |
| Hemoglobin | 2 g/L |
| Ibuprofen | 2.4 mmol/L |
| Intralipid | 4000 mg/dL |
| Lithium lactate | 6.6 mmol/L |
| Magnesium chloride | 15 mmol/L |
| Potassium chloride | 5 mmol/L |
| Salicylic acid | 4.34 mmol/L |
| Sodium bromide | 37.5 mmol/L |
| Sodium chloride | 10 mmol/L |
| Sodium iodide | 2.99 mmol/L |
| Sodium perchlorate | 1 mmol/L |
| Sodium thiocyanate | 6.8 mmol/L |
| Zinc chloride | 1.3 mg/dL |
iMg:
| Interferent | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Acetoacetate | 2 mmol/L |
| Acetylsalicyclic acid | 3.62 mmol/L |
| Ammonium chloride | 107 μmol/L |
| Ascorbic acid | 50 mg/dL |
| Benzalkonium chloride | 10 mg/L |
| Bilirubin | 342 μmol/L |
| Calcium chloride | 2 mmol/L |
| Dobutamine | 2 mg/dL |
| Hemoglobin | 2 g/L |
| Ibuprofen | 2.4 mmol/L |
| Intralipid | 4000 mg/dL |
| Lithium lactate | 6.6 mmol/L |
| Potassium chloride | 5 mmol/L |
| Sodium bromide | 37.5 mmol/L |
| Sodium chloride | 10 mmol/L |
| Sodium iodide | 2.99 mmol/L |
| Sodium perchlorate | 1 mmol/L |
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| Interferent | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Sodium thiocyanate | 6.8 mmol/L |
| Zinc chloride | 1.3 mg/dL |
pH
| Interferent | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Acetaminophen | 20 mg/dL |
| Benzalkonium chloride | 10 mg/L |
| Bilirubin | 342 μmol/L |
| Calcium chloride | 2 mmol/L |
| Dextran | 60 g/L |
| Dobutamine | 2 mg/dL |
| Ethanol | 86.8 mmol/L |
| Fluorescein | 0.4 mg/mL |
| Halothane | 759 μmol/L |
| Hemoglobin | 2 g/L |
| Hydroxybutyrate | 2 mmol/L |
| Hydroxyurea | 0.8 mg/dL |
| Intralipid | 4000 mg/dL |
| Lithium chloride | 3.2 mmol/L |
| Ofloxacin | 48.6 mmol/L |
| Potassium chloride | 5 mmol/L |
| Sodium bromide | 37.5 mmol/L |
| Sodium chloride | 10 mmol/L |
| Sodium heparin | 100 iU/mL |
| Sodium iodide | 2.99 mmol/L |
Hct (lithium heparin whole blood):
| Interferent | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Acetylcysteine | 10.2 mmol/L |
| Albumin | 15 g/dL |
| Bilirubin conjugate | 342 μmol/L |
| Hemoglobin | 2 g/L |
| Hemolysis | 10% |
| Hydroxocobalamin | 0.6 g/L |
| Intralipid | 4000 mg/dL |
| Sodium heparin | 100 iU/mL |
| Triglycerides | 2101 mg/dL |
| WBC | 40.1 x 10^{3}/uL |
Substances that had a bias that exceeded the manufacturer's specifications were tested in dose response studies according to CLSI guideline EP07-A3. The results are described below.
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| Parameter | Interfering Substance | Concentration at which interference may occur |
| --- | --- | --- |
| iCa | Magnesium chloride | >3.75 mmol/L |
| iMg | Dobutamine | >0.5 mg/dL |
| | Perchlorate | >0.06 mmol/L |
| | Thiocyanate | >0.4 mmol/L |
| | Zinc chloride | >0.16 mg/dL |
| Hematocrit (Blood only) | Albumin | >3.8 g/dL |
| | Hemolysis | >5% |
| | Triglycerides | >402 mg/dL |
The sponsor has listed the above interferents in the labeling.
# 4. Assay Reportable Range:
| Analyte | Claimed Measuring Range |
| --- | --- |
| iCa | 0.1 - 2.7 mmol/L |
| iMg | 0.1 - 1.5 mmol/L |
| pH | 6.5 - 8.0 |
| Hct | 12 - 70 % |
# 5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
The iCa reagent is traceable to NIST SRM 2193.
The iMg reagent is traceable to NIST SRM 929a.
pH standards and reagents used for Nova's products are traceable to National Institute of Standards and Technology (NIST) SRMs 2183, 2184, 2181 and 2182. The validation is accomplished by using a hydrogen ion selective glass membrane.
The Hct measurements were performed by the microhematocrit method defined in CLSI H07-A3 which calls for whole blood to be centrifuged and the percentage of packed red cells calculated. Results from the reference method were compared to measurements from a Nova analyzer.
# 6. Detection Limit:
The limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) were determined for iCa and iMg according to CLSI EP17-A2 guideline. Two reagent lots were used for each study.
For LoB studies, blank samples were run five times on two analyzers with different lots. Four different blank samples were run over three days, giving a total of 60 replicates per lot. The LoB was calculated by sorting the samples from low to high and averaging the 57th and 58th sample using the typical Type I error risk of $\alpha = 0.05$ . The greater LoB of the two reagent lots was reported as the LoB.
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For LoD studies, samples with low levels of iCa and iMg were prepared and run four times on two analyzers with different lots. Five different low level samples were run over three days, giving a total of 60 replicates per lot. The results were pooled to calculate the total standard deviation (SDL) per calibrator lot. The LoD was calculated using the equation: $\mathrm{LoD} = \mathrm{LoB} + \mathrm{C}_p\mathrm{SDL}$ . The greater LoD of the two lots was reported as the LoD.
For LoQ studies, samples with low levels of iCa and iMg were prepared and run three times on two analyzers with different lots. Each low level sample was measured on the pHOx Ultra for a reference value. Four different low-level samples were run over three days, giving a total of 36 replicates per lot. The mean, SD, and bias relative to the reference values was calculated for each sample per calibrator lot. These values were used to calculate TE using the equation $\mathrm{TE} = |\mathrm{Bias}| + 2\mathrm{s}$ for each sample and expressed as concentrations relative to the respective reference value for each sample. The LoQ was defined as the lowest concentration at which measured total error is less than the pre-defined total error of $\leq 0.05\mathrm{mmol / L}$ for iCa and $\leq 0.10\mathrm{mmol / L}$ for iMg.
The overall results of LoB, LoD, and LoQ for each matrix are summarized below:
| Lithium heparin whole blood | | | |
| --- | --- | --- | --- |
| Analyte | LoB | LoD | LoQ |
| iCa (mmol/L) | 0.04 | 0.05 | 0.05 |
| iMg (mmol/L) | 0.01 | 0.01 | 0.04 |
| Lithium heparin plasma | | | |
| --- | --- | --- | --- |
| Analyte | LoB | LoD | LoQ |
| iCa (mmol/L) | 0.04 | 0.04 | 0.07 |
| iMg (mmol/L) | 0.02 | 0.02 | 0.04 |
| Serum | | | |
| --- | --- | --- | --- |
| Analyte | LoB | LoD | LoQ |
| iCa (mmol/L) | 0.04 | 0.05 | 0.07 |
| iMg (mmol/L) | 0.01 | 0.01 | 0.04 |
# 7. Assay Cut-Off:
Not applicable.
# B Comparison Studies:
# 1. Method Comparison with Predicate Device:
A method comparison study was performed to compare results from one Stat Profile Prime ES Comp Plus to results from two Stat Profile pHOx Ultra analyzers (predicate) for whole blood, plasm, and serum samples. For each analyte, the singlet result from the test analyzer was compared to the average of the results from the two comparative methods. A minimum of 150 whole blood specimens, 100 plasma specimens, and 100 serum specimens were used.
K191626 - Page 13 of 15
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In addition, a limited number of contrived samples were used to cover the hard-to-find concentrations of the claimed ranges.
The linear regression analyses for the four analytes are summarized below:
Lithium heparin whole blood:
| Analyte | Slope | Intercept | r² | N | Range tested |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 1.0065 | -0.0229 | 0.9957 | 191 | 0.27-2.62 |
| iMg (mmol/L) | 1.0040 | -0.0096 | 0.9815 | 185* | 0.26-1.43 |
| pH | 1.0040 | -0.0259 | 0.9884 | 188* | 6.52-7.97 |
| Hct (%) | 1.0023 | 0.1377 | 0.9856 | 183* | 15-66 |
*N is smaller due to error, calibration status, or insufficient sample volume to complete analysis.
Lithium heparin plasma:
| Analyte | Slope | Intercept | r² | N | Range tested |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 1.0009 | -0.0002 | 0.9988 | 121 | 0.16-2.68 |
| iMg(mmol/L) | 0.9902 | 0.0154 | 0.9838 | 121 | 0.14-1.36 |
| pH | 0.9973 | 0.0225 | 0.9965 | 119* | 6.59-7.98 |
*N is smaller due to error, calibration status, or insufficient sample volume to complete analysis.
Serum:
| Analyte | Slope | Intercept | r² | N | Range tested |
| --- | --- | --- | --- | --- | --- |
| iCa (mmol/L) | 1.0029 | 0.0081 | 0.9987 | 115 | 0.19-2.64 |
| iMg (mmol/L) | 1.0022 | 0.0053 | 0.9868 | 115 | 0.14-1.44 |
| pH | 1.0030 | -0.0236 | 0.9982 | 115 | 6.69-7.99 |
2. Matrix Comparison:
The performance of iCa, iMg and pH with lithium heparin venous whole blood, lithium heparin plasma and serum were evaluated per the studies described in sections VII.A 1 to 5 and VII.B.1. Please refer to the performance studies above.
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable.
2. Clinical Specificity:
Not applicable.
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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:
Reference range for iMg, iCa, pH, and /Hct are cited from literature:
iCa¹: 4.36-5.20 mg/dL
iMg²: 1.09-1.45 mg/dL
pH³: 7.350-7.450
Hct³: Males: 39-49%, Females: 35-45%
References:
¹ Kost, G.T. 1993. The Significance of Ionized Calcium in Cardiac and Critical Care. Arch. Pathol. Lab Med. Vol. 117: pp 890-896.
² This is an average reference range that was determined from reference ranges established in a dozen or so reporting institutions that have been working with Nova analyzers. The extremes of the reference ranges in these institutions were 0.43 - 0.57 to 0.46 - 0.62 with most being 0.45 - 0.60 mmol/L.
³ Burtis, Carl A. and Ashwood, Edward R., ed. 1994. Tietz Textbook of Clinical Chemistry. Philadelphia, PA: W. B. Saunders Co.
## 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.
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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.