S-TEST CHOLESTEROL (CHO), MODEL RC0009, S-TEST HDL CHOLESTEROL (HDL), MODEL RC0015, S-TEST TRIGLYCERIDES (TG)
K091413 · Alfa Wassermann, Inc. · CHH · Oct 26, 2009 · Clinical Chemistry
Device Facts
Record ID
K091413
Device Name
S-TEST CHOLESTEROL (CHO), MODEL RC0009, S-TEST HDL CHOLESTEROL (HDL), MODEL RC0015, S-TEST TRIGLYCERIDES (TG)
Applicant
Alfa Wassermann, Inc.
Product Code
CHH · Clinical Chemistry
Decision Date
Oct 26, 2009
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1175
Device Class
Class 1
Indications for Use
The S-Test Cholesterol Reagent is intended for the quantitative determination of cholesterol concentration in serum or heparin plasma using the S40 Clinical Analyzer. Cholesterol measurements are used in the diagnosis and treatment of disorders involving excess cholesterol in the blood and lipid and lipoprotein metabolism disorders. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only. The S-Test High Density Lipoprotein Reagent is intended for the quantitative determination of HDL concentration in serum or heparin plasma using the S40 Clinical Analyzer. Lipoprotein measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis, and various liver and renal diseases. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only. The S-Test Triglycerides Reagent is intended for the quantitative determination of triglyceride concentration in serum or heparin plasma using the S40 Clinical Analyzer. Triglyceride measurements are used in the diagnosis and treatment of patients with diabetes mellitus, nephrosis, liver obstruction, other diseases involving lipid metabolism, or various endocrine disorders. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only.
Device Story
S-Test reagent cartridges (CHO, HDL, TG) are used with the S40 Clinical Analyzer for in vitro diagnostic testing. The system processes serum or heparin plasma samples using coupled enzymatic reactions to form reddish-purple complexes. The analyzer performs photometric measurements of these complexes to determine analyte concentrations. Used in clinical and physician office laboratories by trained personnel. Results assist clinicians in diagnosing and managing lipid metabolism disorders, diabetes, atherosclerosis, and liver/renal conditions. The device provides quantitative data to support clinical decision-making and patient monitoring.
Clinical Evidence
Bench testing only. Precision/reproducibility studies conducted in-house and at three Physician Office Laboratory (POL) sites. Linearity verified across reportable ranges. Method comparison studies (n=87-98 per analyte) against predicate device showed high correlation (r=0.9696-0.9990). Matrix comparison (serum vs. heparin plasma) confirmed equivalence. Interference testing evaluated ascorbic acid, bilirubin, hemoglobin, and lipemia.
Indicated for quantitative determination of cholesterol, HDL, and triglycerides in serum or heparin plasma for patients with lipid metabolism disorders, diabetes mellitus, atherosclerosis, liver/renal disease, or endocrine disorders. Intended for use in clinical or physician office laboratories.
Regulatory Classification
Identification
A cholesterol (total) test system is a device intended to measure cholesterol in plasma and serum. Cholesterol measurements are used in the diagnosis and treatment of disorders involving excess cholesterol in the blood and lipid and lipoprotein metabolism disorders.
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k091413
B. Purpose for Submission:
New devices
C. Measurand:
Cholesterol, HDL Cholesterol, and Triglyceride
D. Type of Test:
Quantitative, enzymatic photometric
E. Applicant:
Alfa Wasserman Diagnostic Technologies, LLC
F. Proprietary and Established Names:
S-Test Cholesterol (CHO)
S-Test High Density Lipoprotein Cholesterol (HDL)
S-Test Triglycerides (TG)
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1175 - Cholesterol (total) test system
21 CFR 862.1475 - Lipoprotein test system
21 CFR 862.1705 Triglyceride test system
2. Classification:
Class I, meet limitations of exemptions per 21 CFR 862.9 (c)(4) and (c)(9)
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3. Product code:
CHH
LBS
CDT
4. Panel:
75 (clinical chemistry)
H. Intended Use:
1. Intended use(s):
Refer to indications for use below.
2. Indication(s) for use:
Cholesterol
The S-Test Cholesterol Reagent is intended for the quantitative determination of cholesterol concentration in serum or heparin plasma using the S40 Clinical Analyzer. Cholesterol measurements are used in the diagnosis and treatment of disorders involving excess cholesterol in the blood, lipid and lipoprotein metabolism disorders. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only.
HDL Cholesterol
The S-Test High Density Lipoprotein Reagent is intended for the quantitative determination of HDL concentration in serum or heparin plasma using the S40 Clinical Analyzer. Lipoprotein measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis, and various liver and renal diseases. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only.
Triglyceride
The S-Test Triglycerides Reagent is intended for the quantitative determination of triglyceride concentration in serum or heparin plasma using the S40
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Clinical Analyzer. Triglyceride measurements are used in the diagnosis and treatment of patients with diabetes mellitus, nephrosis, liver obstruction, other diseases involving lipid metabolism, or various endocrine disorders. This test is intended for use in clinical laboratories or physician office laboratories. For in vitro diagnostic use only.
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Alfa Wasserman Diagnostic Technologies S40 Clinical Analyzer
I. Device Description:
All three reagents are provided in a ready-to-use cartridge with a barcode to automatically identify the reagent to the S40 clinical analyzer. Each cartridge has a separate reservoir for reagent 1 and reagent 2, a reaction cell, and a photometric cuvette.
The S-Test Cholesterol (CHO) Reagent Cartridge has the following components:
| Component | Quantity |
| --- | --- |
| CHO Reagent (1) | |
| 4-aminoantipyrine | 1.6 mmol/L |
| Cholesterol oxidase | > 0.2 U/mL |
| Peroxidase (Horseradish) | > 1.6 U/mL |
| CHO Reagent (2) | |
| Cholesterol oxidase | 2 U/mL |
| N-ethyl-N-sulfobutyl-m-toluidine disodium salt | 1.5 mmol/L |
The S-Test High Density Lipoprotein (HDL) Reagent Cartridge has the following components:
| Component | Quantity |
| --- | --- |
| HDL Reagent (1) | |
| N, N-bis (4-sulfobutyl)-m-toluidine disodium salt (DSBmT) | 0.5 mmol/L |
| Cholesterol oxidase | 1.0 U/mL |
| Bis (2-hydroxyethyl) iminotris (hydroxymethyl) methane (Bis-Tris) (pH 6.0) | 50 mmol/L |
| Peroxidase (Horseradish) | < 1.3 ppm U/mL |
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HDL Reagent (2)
4-aminoantipyrine 1.0 mmol/L
Surface-active agent < 2%
Bis (2-hydroxyethyl) iminotris (hydroxymethyl) methane
(Bis-Tris) (pH 6.0) 50 mmol/L
Cholesterol oxidase ≥ 1.0 U/mL
The S-Test Triglycerides (TG) Reagent Cartridge has the following components:
| Component | Quantity |
| --- | --- |
| TG Reagent (1) | |
| Glycerol kinase | 1.5 U/mL |
| Glycerol-3-phosphate oxidase | 2 U/mL |
| N-ethyl-N-sulfobutyl-m-toluidine disodium salt | 1.5 mmol/L |
| Piperazine-N-N’-bis (2-ethanesulfonic acid (PIPES) | |
| buffer (pH 7.0) | 100 mmol/L |
| TG Reagent (2) | |
| 4-aminoantipyrine | 2.5 mmol/L |
| Lipoprotein lipase | > 1 U/mL |
| Peroxidase (Horseradish) | > 5 U/mL |
| Piperazine-N-N’-bis (2-ethanesulfonic acid (PIPES) | |
| buffer (pH 6.5) | 50 mmol/L |
J. Substantial Equivalence Information:
1. Predicate device name(s):
Alfa Wassermann Ace CHOLESTEROL Reagent
Alfa Wassermann Ace HDL-C (HDLNEW) Reagent
Alfa Wassermann Ace TRIGLYCERIDES Reagent
2. Predicate 510(k) number:
k931786
3. Comparison with predicate:
Cholesterol
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Same | Intended for the quantitative determination of total cholesterol. |
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Cholesterol Reference Method Laboratory Network (CRMLN) certification | Not certified | Not certified |
| Principle | Same | Enzymatic (cholesterol esterase/cholesterol oxidase) |
| Intended Sites | Same | Clinical laboratories or physician office labs |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Instrument Platform(s) | S40 Clinical Analyzer | ACE and NExCT Clinical Chemistry Systems |
| Calibration | Each lot is calibrated by the manufacturer prior to shipment using material traceable to NIST Standard Reference Material 911 | Calibrated by referencing the change in absorbance of the unknown samples to the change in absorbance of the standard; the use of GEMCAL Reference Serum is recommended |
| Matrix | Serum or Heparin Plasma | Serum |
| Sample Volume | 10 μL | 3 μL |
| Detection Limit | 7 mg/dL | 2 mg/dL |
| Linearity Range | 7 – 370 mg/dL | 2 – 600 mg/dL |
| Detection Wavelength | 600/800 nm | 505/647 nm |
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HDL Cholesterol
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Same | Intended for the quantitative determination of HDL cholesterol. |
| Traceability | Each lot is calibrated by the manufacturer prior to shipment using material traceable to HECTEF (Standard Reference Center Foundation, Ltd.) JCCRM223. The 2-D barcode printed on each cartridge provides the analyzer with lot-specific calibration data. | Calibrated by referencing the change in absorbance of the unknown samples to the change in absorbance of the standard; the use of GEMCAL Reference Serum is recommended. |
| Cholesterol Reference Method Laboratory Network (CRMLN) certification | Not certified | Not certified |
| Principle | Same | Detergent solubilization of HDL to selectively measure HDL cholesterol using an enzymatic method |
| Intended Sites | Same | Clinical laboratories or physician office labs |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Instrument Platform(s) | S40 Clinical Analyzer | ACE and NExCT Clinical Chemistry Systems |
| Calibration | Each lot is calibrated by the manufacturer prior to shipment using material traceable to Reference Material Institute for Clinical Chemistry Standards JCCRM223 | Calibrated by referencing the change in absorbance of the unknown samples to the change in absorbance of the standard; the use of GEMCAL Reference Serum is recommended |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Matrix | Serum or Heparin Plasma | Serum |
| Sample Volume | 5 μL | 3 μL |
| Detection Limit | 6 mg/dL | 4 mg/dL |
| Linearity Range | 14 – 125 mg/dL | 4 – 125 mg/dL |
| Detection Wavelength | 600/700 nm | 592/692 nm |
Triglyceride
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Same | Intended for the quantitative determination of triglyceride. |
| Principle | Same | Coupled enzymatic reaction that uses lipase, glycerol kinase, glycerol-3-phosphate oxidase and peroxidase enzymes to form a colored pigment |
| Intended Sites | Same | Clinical laboratories or physician office labs |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Instrument Platform(s) | S40 Clinical Analyzer | ACE, ACE Alera, and NExCT Clinical Chemistry Systems |
| Calibration | Each lot is calibrated by the manufacturer prior to shipment using material traceable to Reference Material Institute for Clinical Chemistry Standards JCCRM223 | Calibrated by referencing the change in absorbance of the unknown samples to the change in absorbance of the standard; the use of GEMCAL Reference Serum is recommended |
| Matrix | Serum or Heparin Plasma | Serum |
| Sample Volume | 5 μL | 3 μL |
| Detection Limit | 12 mg/dL | 6 mg/dL |
| Linearity Range | 15 – 746 mg/dL | 6 – 1000 mg/dL |
| Detection Wavelength | 600/800 nm | 505/692 nm |
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K. Standard/Guidance Document Referenced (if applicable):
CLSI EP6-A: Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline
CLSI EP7-A2: Interference Testing in Clinical Chemistry; Approved Guideline - Second Edition
CLSI EP5-A2: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline - Second Edition
CLSI EP10-A3: Preliminary Evaluation of Quantitative Clinical Laboratory Measurement Procedures; Approved Guideline - Third Edition
CLSI EP9-A2: Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline - Second Edition
CLSI EP17-A: Protocols for Determination of Limits of Detection and Limits of Quantitation; Approved Guideline
L. Test Principle:
Cholesterol
The cholesterol in the sample is classified into cholesterol esters and free cholesterol. The cholesterol esters become free cholesterol through the action of cholesterol esterase (CE).
The free cholesterol is oxidized by cholesterol oxidase (COD) to produce hydrogen peroxide, esters and free cholesterol. The cholesterol esters become free cholesterol through the action of cholesterol esterase (CE).
The hydrogen peroxide oxidizes and condenses 4-aminoaminoantipyrine and N-ethyl-N-sulfobutyl-m-toluidine (ESBmT) under the influence of peroxidase (POD) to produce a reddish-purple pigment.
Total cholesterol concentration is determined by measuring the absorbance of this reddish-purple pigment. The difference in absorbance, monitored bichromatically at 600 nm/800 nm is directly proportional to the cholesterol concentration in the sample.
HDL Cholesterol
By using a special surface-active agent that preferentially solubilizes HDL and not other lipoproteins (LDL, VLDL, and chylomicrons), the HDL cholesterol
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is measured via a quickly initiated enzymatic reaction. Therefore, only HDL cholesterol is specifically measured.
The hydrogen peroxide oxidizes and condenses 4-aminoaminoantipyrine and N,N'-bis(4-sulfobutyl)-m-toluidine disodium salt (DSBmT) in the presence of peroxidase (POD) to produce a reddish-purple pigment.
HDL cholesterol concentration is determined by measuring the absorbance of this reddish-purple pigment. The difference in absorbance, monitored bichromatically at 600 nm/700 nm is directly proportional to the HDL concentration in the sample.
## Triglyceride
Free glycerol in the sample is converted to glycerol-3-phosphoric acid through the action of glycerol kinase (GK) and the adenosine triphosphate (ATP) substrate. Glycerol-3-phosphoric acid is converted to hydrogen peroxide via the action of glycerol-3-phosphate oxidase (GPO); peroxide is then decomposed into water and oxygen via the action of catalase.
The neutral fat in the sample is quickly hydrolyzed into glycerol and fatty acid by the lipoprotein lipase (LPL) contained in the second reagent.
The glycerol product is converted to glycerol-3-phosphoric acid via the action of GK and the ATP substrate which in turn produces hydrogen peroxide via the action of GPO. The hydrogen peroxide oxidizes/condenses 4-aminoantipyrine and N-ethyl-N-sulfobutyl-m-toluidine (ESBmT), via the action of peroxidase (POD) to produce a reddish purple pigment. The original neutral fat concentration (triglyceride) is determined by measuring the absorbance of the reddish purple pigment produced.
The difference in absorbance between the final reading and the blank, monitored bichromatically at 600 nm/800 nm, is directly proportional to the triglyceride concentration in the sample.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Cholesterol
Precision studies were conducted in house on serum samples at three concentrations over 22 days. Results were as follows:
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| Sample 1 (92 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 1.1 | 1.6 | 1.2 | 2.3 |
| Coefficient of Variation (%) | 1.2 | 1.8 | 1.3 | 2.5 |
| Sample 2 (171 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 1.6 | 2.8 | 2.1 | 3.8 |
| Coefficient of Variation (%) | 0.9 | 1.6 | 1.2 | 2.2 |
| Sample 3 (263 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 4.3 | 3.0 | 4.2 | 6.7 |
| Coefficient of Variation (%) | 1.6 | 1.2 | 1.6 | 2.6 |
Precision studies were also conducted in three Physician Office Laboratory (POL) sites on serum samples at three concentrations over five days. Results were as follows:
| | | | SD (mg/dL) or % CV | |
| --- | --- | --- | --- | --- |
| Lab | Sample | Mean | Within-Run | Total |
| POL 1 | 1 | 107 | SD 1.0 | SD 1.0 |
| | | | 0.9% | 0.9% |
| POL 2 | 1 | 107 | SD 0.7 | SD 0.7 |
| | | | 0.7% | 0.7% |
| POL 3 | 1 | 106 | SD 0.9 | SD 1.1 |
| | | | 0.8% | 1.0% |
| POL 1 | 2 | 184 | SD 1.1 | SD 1.4 |
| | | | 0.6% | 0.8% |
| POL 2 | 2 | 185 | SD 1.8 | SD 1.8 |
| | | | 0.9% | 0.9% |
| POL 3 | 2 | 182 | SD 1.1 | SD 1.3 |
| | | | 0.6% | 0.7% |
| POL 1 | 3 | 287 | SD 2.2 | SD 2.9 |
| | | | 0.8% | 1.0% |
| POL 2 | 3 | 292 | SD 0.9 | SD 2.3 |
| | | | 0.3% | 0.8% |
| POL 3 | 3 | 288 | SD 1.4 | SD 2.0 |
| | | | 0.5% | 0.7% |
# HDL Cholesterol
Precision studies were conducted in house on serum samples at three concentrations over 22 days. Results were as follows:
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| Sample 1 (24 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 0.7 | 1.4 | 0.4 | 1.6 |
| Coefficient of Variation (%) | 2.8 | 5.6 | 1.5 | 6.5 |
| Sample 2 (75 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 1.8 | 4.1 | 0.0 | 4.5 |
| Coefficient of Variation (%) | 2.5 | 5.4 | 0.0 | 6.0 |
| Sample 3 (94 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 1.9 | 5.4 | 0.0 | 5.7 |
| Coefficient of Variation (%) | 2.0 | 5.7 | 0.0 | 6.1 |
Precision studies were also conducted in three Physician Office Laboratory (POL) sites on serum samples at three concentrations over five days. Results were as follows:
| | | | SD (mg/dL) or % CV | |
| --- | --- | --- | --- | --- |
| Lab | Sample | Mean | Within-Run | Total |
| POL 1 | 1 | 22 | SD 0.3 | SD 0.3 |
| | | | 1.2% | 1.2% |
| POL 2 | 1 | 22 | SD 0.6 | SD 0.6 |
| | | | 2.7% | 2.7% |
| POL 3 | 1 | 22 | SD 0.5 | SD 0.6 |
| | | | 2.3% | 2.7% |
| | | | SD (mg/dL) or % CV | |
| --- | --- | --- | --- | --- |
| Lab | Sample | Mean | Within-Run | |
| POL 1 | 2 | 58 | SD 0.9 | SD 1.0 |
| | | | 1.6% | 1.8% |
| POL 2 | 2 | 57 | SD 0.8 | SD 0.8 |
| | | | 1.4% | 1.4% |
| POL 3 | 2 | 58 | SD 1.2 | SD 1.2 |
| | | | 2.1% | 2.1% |
| POL 1 | 3 | 111 | SD 2.4 | SD 2.8 |
| | | | 2.2% | 2.6% |
| POL 2 | 3 | 110 | SD 1.5 | SD 1.9 |
| | | | 1.4% | 1.7% |
| POL 3 | 3 | 113 | SD 2.5 | SD 2.5 |
| | | | 2.3% | 2.3% |
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Triglyceride
Precision studies were conducted in house on serum samples at three concentrations over 22 days. Results were as follows:
| Sample 1 (97 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 4.0 | 0.9 | 0.5 | 4.2 |
| Coefficient of Variation (%) | 4.1 | 1.0 | 0.5 | 4.3 |
| Sample 2 (130 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 4.8 | 1.2 | 2.5 | 5.5 |
| Coefficient of Variation (%) | 3.7 | 0.9 | 1.9 | 4.3 |
| Sample 3 (206 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation (mg/dL) | 6.8 | 1.8 | 3.3 | 7.7 |
| Coefficient of Variation (%) | 3.3 | 0.9 | 1.6 | 3.8 |
An additional precision study was conducted in-house using a sample with an elevated triglyceride concentration. A total of 50 replicates were analyzed over 5 days on each of three analyzers. Results combining data from all three analyzers were as follows:
| Sample 4 (675 mg/dL) | Within Run | Between Run | Between Day | Total |
| --- | --- | --- | --- | --- |
| Standard Deviation, (mg/dL) | 7.0 | 7.3 | 0.0 | 10.1 |
| Coefficient of Variation (%) | 1.0 | 1.1 | 0.0 | 1.5 |
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Precision studies were also conducted in three Physician Office Laboratory (POL) sites on serum samples at three concentrations over five days. Results were as follows:
| | | | SD (mg/dL) or % CV | |
| --- | --- | --- | --- | --- |
| Lab | Sample | Mean | Within-Run | Total |
| POL 1 | 1 | 73 | SD 2.5 | SD 2.5 |
| | | | 3.4% | 3.4% |
| POL 2 | 1 | 74 | SD 2.8 | SD 2.8 |
| | | | 3.8% | 3.8% |
| POL 3 | 1 | 73 | SD 2.8 | SD 2.8 |
| | | | 3.9% | 3.9% |
| POL 1 | 2 | 125 | SD 1.6 | SD 1.6 |
| | | | 1.3% | 1.3% |
| POL 2 | 2 | 127 | SD 3.6 | SD 3.6 |
| | | | 2.8% | 2.8% |
| POL 3 | 2 | 124 | SD 2.4 | SD 2.4 |
| | | | 1.9% | 1.9% |
| POL 1 | 3 | 202 | SD 4.6 | SD 4.6 |
| | | | 2.3% | 2.3% |
| POL 2 | 3 | 203 | SD 4.0 | SD 4.4 |
| | | | 2.0% | 2.2% |
| POL 3 | 3 | 202 | SD 6.1 | SD 6.1 |
| | | | 3.0% | 3.0% |
## b. Linearity/assay reportable range:
Commercial linearity standards were assayed to test that results obtained across the measuring range were linear. The mean value of each set of quadruplicate determinations was determined.
### Cholesterol
Percent recoveries ranged from 98% – 100% when testing samples from 2 – 370 mg/dL. The linear regression equation obtained for the study was y = 1.005x – 3.00, r² = 0.9995. The claimed measuring range is 7 – 370 mg/dL.
### HDL Cholesterol
Percent recoveries ranged from 100% – 103% when testing samples from 14 – 140 mg/dL. The linear regression equation obtained for the study was y = 1.002x + 0.70, r² = 0.9993. The claimed measuring range is 14 – 125 mg/dL.
### Triglyceride
Percent recoveries ranged from 95% – 100% when testing samples from 13 – 746 mg/dL. The linear regression equation obtained for the study was y =
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$1.005\mathrm{x} - 4.92, \mathrm{r}^2 = 0.9996$ . The claimed measuring range is $15 - 746\mathrm{mg / dL}$ .
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Cholesterol - Each lot is calibrated by the manufacturer prior to shipment using material traceable to NIST Standard Reference Material 911.
HDL Cholesterol and Triglyceride - Each lot is calibrated by the manufacturer prior to shipment using material traceable to Reference Material Institute for Clinical Chemistry Standards JCCRM223
The 2-D barcode printed on each cartridge provides the S-40 Clinical Analyzer with lot-specific calibration data.
These methods for cholesterol, HDL cholesterol, and triglyceride have not been tested or certified by the Cholesterol Reference Method Laboratory Network (CRMLN). This information about the CRMLN certification is stated in the labeling.
d. Detection limit:
The limit of detection was determined by assaying five low samples (serum samples) and five true blanks (human serum albumin in saline). Testing was carried out over three days on two S40 Clinical Analyzers. Serum samples and true blanks were assayed every day for a total of 60 measurements. The limit of detection was determined to be $7\mathrm{mg / dL}$ for cholesterol, $6\mathrm{mg / dL}$ for HDL cholesterol, and $12\mathrm{mg / dL}$ for triglyceride.
e. Analytical specificity:
The sponsor investigated the possibility of interference from ascorbic acid, unconjugated bilirubin, hemolysis, and lipemia. The concentrations of samples tested are presented in the table below.
Cholesterol
| Potential Interferent Concentrations Tested (mg/dL) | Low Cholesterol Concentration Tested (mg/dL) | High Cholesterol Concentration Tested (mg/dL) |
| --- | --- | --- |
| Ascorbic Acid @ 1.6, 3.1, 6.3, 12.5, 25, 50 | 53 | 296 |
| Unconjugated Bilirubin @ 1.6, 3.1, 6.3, 2.5, 25, 50 | 187 | 270 |
| Hemoglobin @ 31.3, 62.5, 125, 250, 500, 1000 | 170 | 255 |
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| Lipemia (Intralipid) @ 62.5, 125, 250, 500, 1000, 2000 | 169 | 251 |
| --- | --- | --- |
## HDL Cholesterol
| Potential Interferent Concentrations Tested (mg/dL) | Low HDL Cholesterol Concentration Tested (mg/dL) | High HDL Cholesterol Concentration Tested (mg/dL) |
| --- | --- | --- |
| Ascorbic Acid @ 1.6, 3.1, 6.3, 12.5, 25, 50 | 15.3 | 48.7 |
| Unconjugated Bilirubin @ 1.6, 3.1, 6.3, 2.5, 25, 50 | 21.3 | 61.7 |
| Hemoglobin @ 31.3, 62.5, 125, 250, 500, 1000 | 20.3 | 56.3 |
| Triglyceride from 94 – 866 mg/dL | 30.0 | 83.3 |
## Triglyceride
| Potential Interferent Concentrations Tested (mg/dL) | Low Triglyceride Concentration Tested (mg/dL) | High Triglyceride Concentration Tested (mg/dL) |
| --- | --- | --- |
| Ascorbic Acid @ 1.6, 3.1, 6.3, 12.5, 25, 50 | 79 | 230 |
| Unconjugated Bilirubin @ 1.6, 3.1, 6.3, 2.5, 25, 50 | 99 | 297 |
| Hemoglobin @ 31.3, 62.5, 125, 250, 500, 1000 | 122 | 274 |
The sponsor defined interference as a change greater than 10% or the lowest reportable concentration of the assay. Based on these criteria, the sponsor states the following in the package inserts:
### Cholesterol:
No significant interference from ascorbic acid, unconjugated bilirubin, hemolysis, or lipemia.
### HDL Cholesterol:
Ascorbic Acid: No significant interference below 25 mg/dL. Ascorbic acid concentrations greater than 25 mg/dL may cause interference. Negative interference (>10%) occurred at 50 mg/dL.
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Unconjugated Bilirubin: No significant interference.
Hemolysis: No significant interference below 500 mg/dL. Hemoglobin concentrations greater than 500 mg/dL may cause may cause interference. Negative interference (~11%) occurred at 1000 mg/dL. The labeling states that clear unhemolyzed samples should be used.
Triglyceride: No significant interference below 866 mg/dL.
Triglyceride:
No significant interference from ascorbic acid, unconjugated bilirubin, or hemolysis.
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
Cholesterol
A series of 98 serum specimens with cholesterol values ranging from 31 to 335 mg/dL were assayed in-house on the S40 Clinical Analyzer using the S-Test Cholesterol Reagent and on the Ace Clinical Chemistry System using the predicate device. Least-squares regression analysis yielded the following results:
| Regression Equation | Y = 0.978x + 3.5 |
| --- | --- |
| Correlation Coefficient | 0.9832 |
| Std. Error Est. | 11.3 |
| Confidence Interval Slope | 0.942 to 1.014 |
| Confidence Interval Intercept | -3.8 to 10.8 |
Additional method comparison studies were performed at three Physician Office Laboratories (POLs). Operators assayed serum samples ranging from 18 – 334 mg/dL on the S40 Clinical Analyzer and the ACE Clinical Chemistry System. The following linear regression data was obtained using Deming analysis:
16
{16}
| POL | n | Range | Regression Equation | Correlation Coefficient | Standard Error | Confidence Interval Slope | Confidence Interval Intercept |
| --- | --- | --- | --- | --- | --- | --- | --- |
| A | 53 | 53-315 | y = 0.944x + 0.3 | 0.9585 | 16.7 | 0.868 to 1.021 | -15.7 to 16.2 |
| B | 61 | 18-328 | y = 1.016x + 2.5 | 0.9969 | 4.8 | 0.995 to 1.037 | -1.9 to 6.8 |
| C | 61 | 19-334 | y = 1.031x + 2.9 | 0.9958 | 6.2 | 1.007 to 1.056 | -2.5 to 8.3 |
# HDL Cholesterol
A series of 94 serum specimens with HDL Cholesterol values ranging from 15 to $116\mathrm{mg / dL}$ were assayed on the S40 Clinical Analyzer using the S-Test HDL Reagent and on the Ace Clinical Chemistry System using the predicate device. Least-squares regression analysis yielded the following results:
| Regression Equation | Y = 0.972x + 2.4 |
| --- | --- |
| Correlation Coefficient | 0.9696 |
| Std. Error Est. | 4.8 |
| Confidence Interval Slope | 0.923 to 1.022 |
| Confidence Interval Intercept | -0.5 to 5.2 |
Additional method comparison studies were performed at three Physician Office Laboratories (POLs). Operators assayed serum samples ranging from $17 - 107\mathrm{mg / dL}$ on the S40 Clinical Analyzer and the ACE Clinical Chemistry System. The following linear regression data was obtained using Deming analysis:
{17}
| POL | n | Range | Regression Equation | Correlation Coefficient | Standard Error | Confidence Interval Slope | Confidence Interval Intercept |
| --- | --- | --- | --- | --- | --- | --- | --- |
| A | 48 | 17-107 | y = 0.949x + 5.2 | 0.9696 | 4.7 | 0.879 to 1.018 | 1.4 to 9.0 |
| B | 56 | 17-101 | y = 0.985x + 1.3 | 0.9915 | 2.2 | 0.950 to 1.020 | -0.7 to 3.2 |
| C | 57 | 17-98 | y = 0.957x + 1.8 | 0.9957 | 1.7 | 0.933 to 0.981 | 0.4 to 3.1 |
Triglyceride
A series of 87 serum specimens with Triglyceride values ranging from 24 to 584 mg/dL were assayed in-house on the S40 Clinical Analyzer using the S-Test Triglyceride Reagent and on the Ace Clinical Chemistry System using the predicate device. Least-squares regression analysis yielded the following results:
| Regression Equation | Y = 1.068x - 17.5 |
| --- | --- |
| Correlation Coefficient | 0.9965 |
| Std. Error Est. | 8.7 |
| Confidence Interval Slope | 1.049 to 1.088 |
| Confidence Interval Intercept | -21.2 to -13.7 |
Additional method comparison studies were performed at three Physician Office Laboratories (POLs). Operators assayed serum samples ranging from 15 - 733 mg/dL on the S40 Clinical Analyzer and the ACE Clinical Chemistry System. The following linear regression data was obtained using Deming analysis:
| POL | n | Range | Regression Equation | Correlation Coefficient | Standard Error | Confidence Interval Slope | Confidence Interval Intercept |
| --- | --- | --- | --- | --- | --- | --- | --- |
| A | 47 | 15-627 | y = 0.966x - 14.0 | 0.9958 | 10.0 | 0.940 to 0.993 | -19.0 to -9.0 |
| B | 50 | 17-733 | y = 1.038x - 2.7 | 0.9990 | 6.6 | 1.024 to 1.051 | -5.8 to 0.5 |
| C | 48 | 19-707 | y = 1.057x - 2.9 | 0.9963 | 11.9 | 1.030 to 1.084 | -8.7 to 2.9 |
{18}
# b. Matrix comparison:
# Cholesterol
A study was performed by comparing cholesterol concentrations on 29 paired samples drawn from the same patients in serum and lithium heparin plasma tubes at a clinical laboratory. All specimens were assayed on the S40 Clinical Analyzer using the S-Test cholesterol reagent. The serum results ranged from 22 to $249\mathrm{mg / dL}$ . Least-square regression analysis yielded the following results:
| Regression Equation | y = 1.015x - 4.1 |
| --- | --- |
| Correlation Coefficient | 0.9968 |
| Std. Error Est. | 4.4 |
| Confidence Interval Slope | 0.982 to 1.047 |
| Confidence Interval Intercept | -9.1 to 1.0 |
# HDL Cholesterol
A study was performed by comparing HDL cholesterol concentrations on 36 paired samples drawn from the same patients in serum and lithium heparin plasma tubes at a clinical laboratory. All specimens were assayed on the S40 Clinical Analyzer using the S-Test HDL cholesterol reagent. The serum results ranged from 14 to $124\mathrm{mg / dL}$ . Least-square regression analysis yielded the following results:
| Regression Equation | y = 1.020x - 1.1 |
| --- | --- |
| Correlation Coefficient | 0.9890 |
| Std. Error Est. | 3.4 |
| Confidence Interval Slope | 0.967 to 1.073 |
| Confidence Interval Intercept | -3.6 to 1.5 |
# Triglyceride
A study was performed by comparing HDL triglyceride concentrations on 30 paired samples drawn from the same patients in serum and lithium heparin plasma tubes at a clinical laboratory. All specimens were assayed on the S40 Clinical Analyzer using the S-Test HDL triglyceride reagent. The serum results ranged from 36 to $572\mathrm{mg / dL}$ . Least-square regression analysis yielded the following results:
{19}
| Regression Equation | y = 0.957x + 0.0 |
| --- | --- |
| Correlation Coefficient | 0.9849 |
| Std. Error Est. | 24.0 |
| Confidence Interval Slope | 0.892 to 1.021 |
| Confidence Interval Intercept | -16.4 to 16.5 |
# 3. Clinical studies:
a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
# 4. Clinical cut-off:
Not applicable. Clinical studies are not typically submitted for this device type.
# 5. Expected values/Reference range:
Reference ranges are taken from the Third Report of National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation and Treatment of High Cholesterol in Adults (Adult Treatment Panel III); Executive Summary, 2002.
| Total Cholesterol (mg/dL) | |
| --- | --- |
| < 200 | Desirable |
| 200 – 239 | Borderline |
| ≥ 240 | High |
| HDL Cholesterol (mg/dL) | |
| --- | --- |
| < 40 | Low |
| ≥ 60 | High |
| Triglyceride (mg/dL) | |
| --- | --- |
| < 150 | Normal |
| 150 – 199 | Borderline High |
| 200 – 499 | High |
| ≥ 500 | Very High |
{20}
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
21
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Learn the FDA Browser
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.