The ACE γ-GT Reagent is intended for the quantitative determination of gamma-glutamyltransferase activity in serum and lithium heparin plasma using the ACE, ACE Alera, and ACE Axcel Clinical Chemistry Systems. Gamma-glutamyltransferase measurements are used in the diagnosis and treatment of liver diseases such as alcoholic cirrhosis and primary and secondary liver tumors. This test is intended for use in clinical laboratories and physician office laboratories. For in vitro diagnostic use only. The ACE Lipase Reagent is intended for the quantitative determination of lipase activity in serum and lithium heparin plasma using the ACE, ACE Alera, and ACE Axcel Clinical Chemistry Systems. Lipase measurements are used in diagnosis and treatment of diseases of the pancreas such as acute pancreatitis and obstruction of the pancreatic duct. This test is intended for use in clinical laboratories and physician office laboratories. For in vitro diagnostic use only. The ACE T4 Reagent is intended for the quantitative determination of total thyroxine (T4) in serum and lithium heparin plasma using the ACE, ACE Alera, and ACE Axcel Clinical Chemistry Systems. Total thyroxine measurements are used in the diagnosis and treatment of thyroid diseases. This test is intended for use in clinical laboratories and physician office laboratories. For in vitro diagnostic use only.
Device Story
Reagents for ACE, ACE Alera, and ACE Axcel Clinical Chemistry Systems; perform quantitative photometric/colorimetric analysis of serum or lithium heparin plasma samples. γ-GT reagent measures enzyme activity via transfer of γ-glutamyl group; Lipase reagent uses enzymatic cascade to generate quinine dye; T4 reagent uses homogeneous enzyme immunoassay (competition for antibody binding sites). Systems used in clinical labs and physician office labs; operated by lab personnel. Output is quantitative concentration (U/L or μg/dL) displayed on system interface. Results assist clinicians in diagnosing liver disease, pancreatitis, or thyroid dysfunction. Benefits include rapid, automated diagnostic testing in point-of-care or clinical settings.
Clinical Evidence
Bench testing only. Precision studies (within-run and total CVs) performed on ACE, ACE Alera, and ACE Axcel systems. Matrix comparison studies (serum vs. lithium heparin plasma) showed high correlation (r > 0.98). Linearity, detection limits (LoB, LoD, LoQ), and interference studies (icterus, hemolysis, lipemia, ascorbic acid, HAMA, rheumatoid factor) confirm performance specifications. No clinical prospective/retrospective studies required.
Indicated for quantitative determination of γ-GT, Lipase, and Total Thyroxine (T4) in serum and lithium heparin plasma for diagnosis/treatment of liver, pancreatic, and thyroid diseases. Intended for clinical and physician office laboratories. Not established for neonatal samples.
Regulatory Classification
Identification
A total thyroxine test system is a device intended to measure total (free and protein bound) thyroxine (thyroid hormone) in serum and plasma. Measurements obtained by this device are used in the diagnosis and treatment of thyroid diseases.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
ACE γ-GT Reagent (k930104)
ACE Lipase Reagent (k930104)
ACE T4 Reagent (k981377)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k131515
B. Purpose for Submission:
New reagents (Gamma-Glutamyltransferase, Lipase, Total Thyroxine) added onto ACE Alera instrument (k123018)
Addition of lithium heparin plasma samples to already cleared reagents on the ACE (k930104, k981377) and ACE Axcel (k113382, k113438, k113437) instruments.
C. Measurand:
Gamma-Glutamyltransferase (γ-GT), Lipase, Total Thyroxine (T4)
D. Type of Test:
Quantitative, photometric/colorimetric methods
E. Applicant:
Alfa Wassermann Diagnostic Technologies, LLC
F. Proprietary and Established Names:
ACE γ-GT Reagent
ACE Lipase Reagent
ACE T4 Reagent
G. Regulatory Information:
| Product Code | Classification | Regulation | Panel |
| --- | --- | --- | --- |
| JPZ | Class I, meets limitations of exemptions in 862.9(c)(9) | 21 CFR 862.1360
Gamma-glutamyl transpeptidase and isoenzymes test system | Clinical Chemistry (75) |
| CHI | Class I, meets limitations of exemptions in 862.9(c)(9) | 21 CFR 862.1465
Lipase test system | Clinical Chemistry (75) |
| KLI | Class II | 21 CFR 862.1700
Total thyroxine test system | Clinical Chemistry (75) |
H. Intended Use:
1. Intended use(s):
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See Indications for use below.
2. **Indication(s) for use:**
The ACE γ-GT Reagent is intended for the quantitative determination of gamma-glutamyltransferase activity in serum and lithium heparin plasma using the ACE, ACE *Alera*, and ACE Axcel Clinical Chemistry Systems. Gamma-glutamyltransferase measurements are used in the diagnosis and treatment of liver diseases such as alcoholic cirrhosis and primary and secondary liver tumors. This test is intended for use in clinical laboratories and physician office laboratories. For *in vitro* diagnostic use only.
The ACE Lipase Reagent is intended for the quantitative determination of lipase activity in serum and lithium heparin plasma using the ACE, ACE *Alera*, and ACE Axcel Clinical Chemistry Systems. Lipase measurements are used in diagnosis and treatment of diseases of the pancreas such as acute pancreatitis and obstruction of the pancreatic duct. This test is intended for use in clinical laboratories and physician office laboratories. For *in vitro* diagnostic use only.
The ACE T4 Reagent is intended for the quantitative determination of total thyroxine (T4) in serum and lithium heparin plasma using the ACE, ACE *Alera*, and ACE Axcel Clinical Chemistry Systems. Total thyroxine measurements are used in the diagnosis and treatment of thyroid diseases. This test is intended for use in clinical laboratories and physician office laboratories. For *in vitro* diagnostic use only.
3. **Special conditions for use statement(s):**
For *in vitro* diagnostic use only
For prescription use and use in Point-of-Care settings
4. **Special instrument requirements:**
For use on the ACE, ACE Axcel and ACE *Alera* Clinical Chemistry Systems
I. **Device Description:**
The ACE γ-GT Reagent consists of two reagent bottles, the γ-GT buffer and γ-GT substrate. The γ-GT substrate reagent contains L-γ-glutamyl-3-carboxy-4-nitroanilide (3.0 mmol/L) and Glycylglycine (150 mmol/L). The γ-GT buffer reagent contains buffer and preservative.
The ACE Lipase Reagent consists of two reagent bottles, the Lipase reagent (lyophilized) and Lipase activator. The lyophilized Lipase reagent is reconstituted by pouring the Lipase reagent solvent into the Lipase reagent lyophilized bottle. The Lipase reagent (reconstituted) (R1) contains 1,2-Diglyceride (egg) (1.1 mM), Monoglyceride lipase (Bacillus sp.) (0.88 U/mL), Glycerol kinase (S. canus) (<1.34 U/mL), Glycerol-3-phosphate oxidase (Streptococcus sp.) (<40 U/mL), TOOS (0.07%), ATP (bacterial) (0.66 mM), Peroxidase (horseradish) (<1.34 U/mL), Colipase (porcine) (<40 U/mL), Human serum albumin (0.27%), Ascorbate oxidase (cucumber, zucchini) (<2.66 U/L), Cholic acid (ox or sheep) (5.3 mM), Buffer (pH 6.8), Stabilizers and Sodium azide (0.05%). The Lipase activator reagent (R2)
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contains Deoxycholate (ox or sheep) (36 mM), 4-Aminoantipyrine (0.12%), Buffer (pH 8.7) and Sodium azide (0.05%).
The ACE T4 Reagent consists of two reagent bottles, the antibody/substrate reagent and the enzyme conjugate reagent. The Antibody/Substrate reagent (R1) contains Mouse monoclonal anti-thyroxine antibody, 8-Anilino-1-naphthalene sulfonic acid (ANS), Glucose-6-phosphate (G6P), Nicotinamide adenine dinucleotide (NAD+), Tris buffer and Sodium azide (0.09%). The Sodium nitrite reagent (R2) contains Glucose-6-phosphate dehydrogenase (G6PD) labeled with thyroxine, Tris buffer and Sodium azide (0.09%).
# J. Substantial Equivalence Information:
1. Predicate device name(s):
ACE $\gamma$ -GT Reagent
ACE Lipase Reagent
ACE T4 Reagent
2. Predicate $510(\mathbf{k})$ number(s):
ACE $\gamma$ -GT Reagent: k930104 (ACE)
ACE Lipase Reagent: k930104 (ACE)
ACE T4 Reagent: k981377 (ACE)
3. Comparison with predicate:
| ACE γ-GT Reagent: Similarities and Differences | | |
| --- | --- | --- |
| Item | New Device ACE γ-GT Reagent, on the ACE, ACE Alera, and ACE Axcel Systems | Predicate Device ACE γ-GT Reagent, on the ACE and ACE Axcel Systems; k930104 (ACE) |
| Intended use | Same | The ACE γ-GT Reagent is intended for the quantitative determination of gamma-glutamyltransferase activity. |
| Measurand | Same | Gamma-glutamyltransferase activity |
| Assay method | Same | Photometric |
| Measuring range | Same | 7 to 950 U/L |
| Expected values | Same | Male: 13 to 68 U/L Female: 11 to 48 U/L |
| Matrix | Human serum and Li-heparin plasma | Human serum |
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| ACE Lipase Reagent: Similarities and Differences | | |
| --- | --- | --- |
| Item | New Device ACE Lipase Reagent, on the ACE, ACE Alera, and ACE Axcel Systems | Predicate Device ACE Lipase Reagent, on the ACE and ACE Axcel Systems; k930104 (ACE) |
| Intended use | Same | The ACE Lipase Reagent is intended for the quantitative determination of Lipase activity. |
| Measurand | Same | Lipase activity |
| Assay method | Same | Photometric |
| Measuring range | Same | 15 to 700 U/L |
| Expected values | Same | Less than 60 U/L |
| Matrix | Human serum and Li-heparin plasma | Human serum |
| ACE T4 Reagent: Similarities and Differences | | |
| --- | --- | --- |
| Item | New Device ACE T4 Reagent, on the ACE, ACE Alera, and ACE Axcel Systems | Predicate Device ACE T4 Reagent, on the ACE and ACE Axcel Systems; k981377 (ACE) |
| Intended use | Same | The ACE T4 Reagent is intended for the quantitative determination of total thyroxine (T4). |
| Measurand | Same | Total thyroxine (T4) |
| Assay method | Same | Photometric |
| Measuring range | Same | 1.3 to 19.6 μg/dL |
| Expected values | Same | 5.0 to 12.0 μg/dL |
| Matrix | Human serum and Li-heparin plasma | Human serum |
# K. Standard/Guidance Document Referenced (if applicable):
EP05-A2: Evaluation of Precision Performance of Quantitative Measurement Methods (2004).
EP06-A: Evaluation of the Linearity of Quantitative Measurement Procedures: A statistical approach (2003).
EP07-A2: Interference Testing in Clinical Chemistry (2005).
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EP09-A2-IR: Method Comparison and Bias Estimation Using Patient Samples (Interim revision; 2010)
EP17-A: Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures (2004)
## L. Test Principle:
The ACE γ-GT Reagent is based on a photometric test in which γ-GT in the sample catalyzes the transfer of the γ-glutamyl group from the L- γ-glutamyl-3-carboxy-4-nitoanilide substrate to the glycylglycine product in the reagent. The product, 5-amino-2-nitobenzoate, absorbs strongly at 408 nm. The rate of increase in absorbance is directly proportional to the γ-GT activity in the sample.
The ACE Lipase Reagent is based on a photometric test in which lipase in the sample acts on a natural substrate, 1,2-diglyceride, to liberate 2-monoglyceride. This is hydrolyzed by monoglyceride lipase in to glycerol and free fatty acid. Glycerol kinase acts on glycerol to from glycerol-3-phosphate, which is in turn acted on by glycerol-3-phosphate oxidase to generate hydrogen peroxide. Peroxidase converts the hydrogen peroxide, 4-aminoantipyrine and TOOS (N-ethyl-N-(2-hydroxy-3-sulfopropyl)-m-toluidine) into a quinine dye. The rate of formation of the dye, determined bichromatically at an absorbance of 573 nm/692 nm, is proportional to the lipase activity in the sample.
The ACE T4 Reagent is a homogenous enzyme immunoassay based on a photometric test in which 8-anilino-1-naphthalene sulfonic acid (ANS) is used to dissociate thyroxine from the plasma binding proteins. Using antibodies specific to thyroxine, this assay is based on the competition of G6PD labeled thyroxine and the dissociated thyroxine in the sample for a fixed number of specific antibody binding sites. In the absence of thyroxine from the sample, the thyroxine labeled G6PD in the second reagent is bound by the specific antibody in the first reagent, inhibiting the enzyme's activity. The enzyme G6PD catalyzes the oxidation of G6P with NAD⁺ to form 6-phosphogluconate and reduced NADH. NADH strongly absorbs at 340 nm whereas NAD⁺ does not. The rate of conversion, determined by measuring the increase in absorbance at 340 nm during a fixed time interval, is directly proportional to the amount of thyroxine in the sample.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
The precision of the γ-GT, Lipase and T4 reagents on an in-house ACE Alera system was evaluated using human serum samples at three concentrations of the respective measurand and one lot of reagents in an at least 20 day precision study. Each study was performed measuring each sample 2 times per run, 2 runs per day for at least 20 days for a total of 80 measurements per sample. The results are provided in the table below.
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In-house on ACE Alera Clinical Chemistry System
| Measurand | Sample Mean | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| γ-GT (U/L) | 29 | 1.0 | 3.4 | 1.3 | 4.7 |
| | 71 | 1.4 | 2.0 | 2.4 | 3.4 |
| | 105 | 1.9 | 1.8 | 3.6 | 3.4 |
| Lipase (U/L) | 63 | 6.2 | 9.8 | 6.2 | 9.9 |
| | 379 | 10.5 | 2.8 | 15.4 | 4.1 |
| | 657 | 20.4 | 3.1 | 24.4 | 3.7 |
| T4 (μg/dL) | 6.0 | 0.19 | 3.1 | 0.34 | 5.6 |
| | 10.6 | 0.26 | 2.4 | 0.37 | 3.5 |
| | 17.1 | 0.56 | 3.3 | 0.66 | 3.9 |
Plasma and Serum In-house Precision Study:
The precision of the γ-GT, Lipase and T4 reagents for matched serum and Lithium heparin plasma samples at 3 concentrations of the respective measurand was evaluated in-house over a period of 5 to 6 days using one reagent lot (2 reagent lots for γ-GT). In this study, matched serum and plasma samples with a low concentration of measurand from a single donor were spiked to a high concentration of measurand with commercially-available analyte, and then the mid-level samples were prepared by mixing equal portions of the low-level and high-level samples. Each sample was measured 2 times per run for 2 runs per day for 5 to 6 days (N=20 for γ-GT and T4; N=24 for Lipase). All samples were tested on the ACE, ACE Alera and ACE Axcel systems. The precision results are summarized in the table below.
γ-GT Reagent (N=20)
ACE Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 38 | Serum | 0.9 | 2.4 | 1.2 | 3.1 |
| 38 | Plasma | 0.4 | 1.0 | 0.8 | 2.2 |
| 313 | Serum | 2.4 | 0.8 | 2.8 | 0.9 |
| 316 | Plasma | 2.4 | 0.8 | 3.0 | 0.9 |
| 602 | Serum | 2.3 | 0.4 | 2.6 | 0.4 |
| 605 | Plasma | 3.6 | 0.6 | 4.4 | 0.7 |
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ACE Alera Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 39 | Serum | 0.9 | 2.4 | 1.0 | 2.5 |
| 40 | Plasma | 0.7 | 1.9 | 0.7 | 1.9 |
| 314 | Serum | 3.9 | 1.3 | 4.5 | 1.4 |
| 317 | Plasma | 1.7 | 0.5 | 2.4 | 0.8 |
| 601 | Serum | 4.2 | 0.7 | 6.1 | 1.0 |
| 604 | Plasma | 4.3 | 0.7 | 4.9 | 0.8 |
ACE Axcel Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 37 | Serum | 0.7 | 1.8 | 0.9 | 2.3 |
| 38 | Plasma | 0.7 | 2.0 | 0.9 | 2.4 |
| 318 | Serum | 2.0 | 0.6 | 2.6 | 0.8 |
| 319 | Plasma | 2.6 | 0.8 | 2.9 | 0.9 |
| 606 | Serum | 4.2 | 0.7 | 5.4 | 0.9 |
| 608 | Plasma | 4.4 | 0.7 | 5.9 | 1.0 |
Lipase Reagent (N=24)
ACE Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 47 | Serum | 1.7 | 3.6 | 3.2 | 6.7 |
| 48 | Plasma | 2.2 | 4.6 | 3.2 | 6.6 |
| 283 | Serum | 5.1 | 1.8 | 13.1 | 4.6 |
| 278 | Plasma | 2.6 | 0.9 | 11.5 | 4.1 |
| 545 | Serum | 3.9 | 0.7 | 24.3 | 4.5 |
| 524 | Plasma | 5.9 | 1.1 | 18.9 | 3.6 |
ACE Alera Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 45 | Serum | 1.6 | 3.5 | 2.9 | 6.4 |
| 47 | Plasma | 1.5 | 3.2 | 3.5 | 7.4 |
| 286 | Serum | 3.8 | 1.3 | 19.1 | 6.7 |
| 278 | Plasma | 2.2 | 0.8 | 20.0 | 7.2 |
| 547 | Serum | 4.3 | 0.8 | 37.5 | 6.9 |
| 528 | Plasma | 5.0 | 1.0 | 31.7 | 6.0 |
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ACE Axcel Clinical Chemistry System
| Sample Mean (U/L) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 44 | Serum | 2.8 | 6.3 | 3.0 | 6.9 |
| 48 | Plasma | 2.6 | 5.5 | 3.1 | 6.4 |
| 280 | Serum | 3.3 | 1.2 | 4.0 | 1.4 |
| 272 | Plasma | 4.8 | 1.8 | 6.8 | 2.5 |
| 534 | Serum | 5.5 | 1.0 | 9.5 | 1.8 |
| 518 | Plasma | 5.8 | 1.1 | 10.2 | 2.0 |
T4 Reagent (N=20)
ACE Clinical Chemistry System
| Sample Mean (μg/dL) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 7.7 | Serum | 0.17 | 2.2 | 0.35 | 4.5 |
| 7.8 | Plasma | 0.28 | 3.5 | 0.29 | 3.8 |
| 12.7 | Serum | 0.46 | 3.6 | 0.63 | 4.9 |
| 13.1 | Plasma | 0.24 | 1.8 | 0.5 | 3.8 |
| 17.3 | Serum | 0.5 | 2.9 | 0.74 | 4.3 |
| 17.6 | Plasma | 0.76 | 4.3 | 0.76 | 4.3 |
ACE Alera Clinical Chemistry System
| Sample Mean (μg/dL) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 7.7 | Serum | 0.15 | 2.0 | 0.19 | 2.4 |
| 7.8 | Plasma | 0.14 | 1.9 | 0.21 | 2.7 |
| 12.5 | Serum | 0.24 | 1.9 | 0.48 | 3.9 |
| 12.9 | Plasma | 0.28 | 2.2 | 0.67 | 5.2 |
| 17.1 | Serum | 0.27 | 1.6 | 0.57 | 3.3 |
| 17.4 | Plasma | 0.41 | 2.4 | 0.44 | 2.6 |
ACE Axcel Clinical Chemistry System
| Sample Mean (μg/dL) | Sample Type | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 7.9 | Serum | 0.18 | 2.3 | 0.21 | 2.6 |
| 8.0 | Plasma | 0.15 | 1.9 | 0.21 | 2.7 |
| 12.9 | Serum | 0.3 | 2.3 | 0.43 | 3.4 |
| 13.2 | Plasma | 0.19 | 1.5 | 0.71 | 5.4 |
| 17.5 | Serum | 0.5 | 2.9 | 0.75 | 4.3 |
| 17.6 | Plasma | 0.6 | 3.4 | 0.6 | 3.4 |
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# Serum POL Precision Study:
The precision of the γ-GT, Lipase and T4 reagents at an in-house and 3 physician office laboratories (POLs) using serum samples at 3 concentrations of the respective measurand and one reagent lot (2 reagent lots for γ-GT) was evaluated using a multiple day precision study. In this study, a serum sample with a low concentration of measurand from a single donor was spiked to a high concentration of measurand with commercially-available analyte, and then the mid-level sample was prepared by mixing equal portions of the low-level and high-level samples. The study was performed measuring each sample 2 times per run, 2 runs per day for a total of 5 days (N=20 measurements per sample) on the ACE Alera system. The precision results are provided in the table below.
## γ-GT Reagent (N=20)
### ACE Alera Clinical Chemistry System
| Sample Mean (U/L) | Site | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 19 | In-house | 1.4 | 7.1 | 1.5 | 7.9 |
| 18 | POL-1 | 0.7 | 4.2 | 0.9 | 5.2 |
| 18 | POL-2 | 0.9 | 4.8 | 1.0 | 5.6 |
| 18 | POL-3 | 0.9 | 5.2 | 1.0 | 5.3 |
| 298 | In-house | 3.3 | 1.1 | 3.7 | 1.2 |
| 287 | POL-1 | 2.2 | 0.8 | 2.6 | 0.9 |
| 315 | POL-2 | 1.9 | 0.6 | 2.3 | 0.7 |
| 299 | POL-3 | 2.7 | 0.9 | 2.8 | 1.0 |
| 524 | In-house | 2.6 | 0.5 | 3.3 | 0.6 |
| 503 | POL-1 | 4.5 | 0.9 | 4.5 | 0.9 |
| 561 | POL-2 | 3.5 | 0.6 | 3.5 | 0.6 |
| 528 | POL-3 | 3.0 | 0.6 | 4.6 | 0.9 |
## Lipase Reagent (N=20)
### ACE Alera Clinical Chemistry System
| Sample Mean (U/L) | Site | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 24 | In-house | 2.0 | 8.7 | 2.0 | 8.7 |
| 23 | POL-1 | 2.2 | 9.6 | 2.7 | 12.0 |
| 21 | POL-2 | 1.8 | 8.5 | 1.9 | 8.9 |
| 22 | POL-3 | 1.1 | 5.0 | 2.3 | 10.5 |
| 158 | In-house | 2.4 | 1.5 | 3.0 | 1.9 |
| 154 | POL-1 | 3.8 | 2.5 | 7.7 | 5.0 |
| 154 | POL-2 | 3.8 | 2.5 | 3.9 | 2.5 |
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| 148 | POL-3 | 1.9 | 1.3 | 5.2 | 3.5 |
| --- | --- | --- | --- | --- | --- |
| 315 | In-house | 2.8 | 0.9 | 11.5 | 3.7 |
| 292 | POL-1 | 9.9 | 3.4 | 14.5 | 5.0 |
| 310 | POL-2 | 2.5 | 0.8 | 6.3 | 2.0 |
| 293 | POL-3 | 4.2 | 1.4 | 12.3 | 4.2 |
# T4 Reagent $(\mathbf{N} = 20)$
ACE Alera Clinical Chemistry System
| Sample Mean (μg/dL) | Site | Within Run | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV |
| 4.1 | In-house | 0.09 | 2.2 | 0.17 | 4.3 |
| 4.3 | POL-1 | 0.09 | 2.2 | 0.15 | 3.5 |
| 4.1 | POL-2 | 0.12 | 2.8 | 0.18 | 4.3 |
| 3.9 | POL-3 | 0.17 | 4.4 | 0.2 | 5.0 |
| 10.1 | In-house | 0.14 | 1.4 | 0.33 | 3.2 |
| 10.3 | POL-1 | 0.41 | 4.0 | 0.43 | 4.2 |
| 10.1 | POL-2 | 0.25 | 2.5 | 0.29 | 2.9 |
| 10.1 | POL-3 | 0.31 | 3.1 | 0.49 | 4.9 |
| 16.0 | In-house | 0.27 | 1.7 | 0.41 | 2.6 |
| 16.4 | POL-1 | 0.58 | 3.5 | 0.89 | 5.4 |
| 16.3 | POL-2 | 0.46 | 2.8 | 0.76 | 4.7 |
| 17.6 | POL-3 | 0.79 | 4.5 | 0.97 | 5.5 |
# b. Linearity/Assay Reportable Range:
The sponsor assessed linearity on the ACE Alera analyzer with each sample tested in triplicate using one lot of reagents. Nine diluted samples with measurand concentrations evenly distributed were prepared by diluting a high measurand concentration serum pool. This yielded linearity samples with levels that spanned the measuring range of each of the three analytes ( $\gamma$ -GT, Lipase and T4) measured.
The sponsor calculated linear and polynomial regressions from mean observed values versus expected values using weighted regression model. The linear regressions between the expected values and the measured values are found in the table below:
| Measurand | Range tested | Slope (95% CI) | Intercept (95% CI) |
| --- | --- | --- | --- |
| γ-GT (U/L) | 4.0 to 993 | 1.036 (1.031 to 1.042) | 0.8 (-0.8 to 2.4) |
| Lipase (U/L) | 11.0 to 739 | 0.971 (0.965 to 0.977) | 0.2 (-1.0 to 1.5) |
| T4 (μg/dL) | 1.2 to 19.7 | 1.057 (1.033 to 1.081) | -0.09 (-0.28 to 0.10) |
The linearity data provided support the sponsor's claims for the reportable range for the $\gamma$ -GT reagent of 7.0 to $950~\mathrm{U / L}$ , Lipase reagent of 15 to $700~\mathrm{U / L}$ and T4 reagent of 1.3 to $19.6~\mu \mathrm{g / dL}$ .
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# Auto-dilution Study:
The sponsor provided auto-dilution studies to confirm the auto-dilution function on the ACE Alera analyzer for the ACE $\gamma$ -GT reagent (1:3 dilution) and ACE Lipase reagent (1:2 dilution) using plasma and/or serum samples. The studies compared the results obtained from auto-dilution of the samples to the manual dilution results. All samples recovered within $\pm 5\%$ bias.
The ACE T4 reagent is not set for automatic dilution on the ACE Alera analyzer.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
# ACE $\gamma$ -GT Reagent
Traceable to another commercially available FDA cleared assay by method comparison. This is not a calibrated test.
# ACE Lipase Reagent
Traceable to another commercially available FDA cleared assay by method comparison. The calibrator was previously cleared under k113438.
# ACE T4 Reagent
Traceable to another commercially available FDA cleared assay by method comparison. The calibrator was previously cleared under k113437.
# d. Detection Limit:
The LoQ studies for each measurand were evaluated based upon CLSI EP17-A guidance document using the ACE Alera analyzer.
LoQ was determined by evaluating five low level samples with eight replicates over five days for a total of 40 measurements per sample. Sponsor defined LoQ as concentration with a $\% \mathrm{CV}$ of $< 20\%$ .
| Measurand | LoQ |
| --- | --- |
| γ-GT | 7.0 U/L |
| Lipase | 13.0 U/L |
| T4 | 1.3 μg/dL |
Based on the LoQ and the linearity studies, the measuring ranges for the three measurand on the ACE Alera instrument are as shown below:
| Measurand | Assay Range |
| --- | --- |
| γ-GT | 7.0 to 950 U/L |
| Lipase | 15 to 700 U/L |
| T4 | 1.3 to 19.6 μg/dL |
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# e. Analytical Specificity:
Interference testing was performed according to CLSI EP07-A2 guidance document for the $\gamma$ -GT reagent, Lipase reagent and T4 reagent on the ACE Alera analyzer.
Human serum samples were used with two different concentrations (normal and abnormal) of the measurand ( $\gamma$ -GT, lipase and T4). Interference from unconjugated bilirubin, hemolysate, lipemia and ascorbic acid was tested. For lipemia interference studies, avian triglyceride concentrate ( $\gamma$ -GT and lipase) or Intralipid (T4) was used. Each sample level was spiked with increasing amounts of interferent for a total of six samples with interferent. Control samples at each level that were not spiked with the interferents were used to compare with the spiked samples and percent recovery was calculated for each sample. Interference is considered to be significant when the analyte recovery changes by $\pm 10\%$ . The results are summarized in the table below.
| Interferent | No Significant Interference at or below: | | |
| --- | --- | --- | --- |
| | γ-GT | Lipase | T4 |
| Icterus | 14.2 mg/dL | 12.5 mg/dL | 47.2 mg/dL |
| Hemolysis | 125 mg/dL | 1000 mg/dL | 1000 mg/dL |
| Lipemia | 500 mg/dL | 803 mg/dL | 1000 mg/dL |
| Ascorbic acid | 6.0 mg/dL | 6.0 mg/dL | 6.0 mg/dL |
The following statements are included as limitations in the respective labeling for the three reagents:
# Lipase reagent:
"Do not use icteric samples."
"Use clear, unhemolyzed serum or lithium heparin plasma."
"A comprehensive list of drugs and other substances which can affect lipase activity in serum is given by Young, et. Al.1"
# $\gamma$ -GT reagent:
"Use clear, unhemolyzed serum or lithium heparin plasma."
"Do not use hemolyzed samples. Hemolysis interferes with the $\gamma$ -GT assay and may cause erroneous results."
"A comprehensive list of drugs and other substances which can affect lipase activity in serum is given by Young, et. Al.1"
# T4 reagent:
"In rare instances, patients may have autoantibodies that will interfere with this assay and result in low thyroxine results."
"The performance characteristics of this assay have not been established for neonatal samples."
"Use clear, unhemolyzed serum or lithium heparin plasma."
{12}
$^{1}$ Young, D.S., et.al., Effects of drugs on Clinical Laboratory Tests. $5^{\text{th}}$ Edition, AACC Press, Washington, D.C. (2000).
In addition, the sponsor has provided cross-reactivity studies with the structurally related compounds, 3,3',5,5'-Tetraiodothyroacetic acid, L-Thyroxine, and D-Thyroxine, and interference studies with HAMA and Rheumatoid Factor for their T4 reagent assay on ACE Alera Clinical Chemistry. Interference is considered to be significant when the analyte recovery changes by $\pm 10\%$ . The results are summarized in the table below.
Cross-Reactivity Study Results At Normal T4 levels:
| Cross-Reactant | Concentration Tested (μg/dL)* | % Cross-reactivity |
| --- | --- | --- |
| 3,3',5,5'-Tetraiodothyroacetic acid | 5.0 | 18.4 |
| L-Thyroxine | 5.0 | 91.6 |
| | 10.0 | 92.8 |
| D-Thyroxine | 5.0 | 68.0 |
| | 10.0 | 74.6 |
* The tested concentrations of the cross-reactant tested greatly exceed the normal serum or plasma concentrations of these compounds.
Interference Study Results:
| Interferent | No Significant Interference at or below: |
| --- | --- |
| HAMA | 800 ng/mL** |
| Rheumatoid Factor | 516 IU/mL** |
** These concentrations were the highest available concentration for interference testing.
f. Assay cut-off:
Not applicable.
# 2. Comparison Studies:
a. Method Comparison with Predicate Device:
In-house Method Comparison Study:
Method comparison study was carried out in accordance with CLSI EP09-A2-IR guidelines. Serum samples obtained from clinical sites or commercial sources were evaluated. In order to span the reportable range of the assay, some of the samples were spiked ( $\gamma$ -GT - 6, Lipase - 5, T4 - 3) and / or diluted (T4 - 2). All samples were run in singlicate in-house on the ACE Alera Clinical Chemistry System (y-axis) and the ACE Clinical Chemistry System (x-axis) using at least two lots of each reagent. Deming linear regression analysis results are as shown:
{13}
| Method Comparison: In-House ACE (x) versus In-House ACE Alera (y) | γ-GT | Lipase | T4 |
| --- | --- | --- | --- |
| N | 51 | 49 | 50 |
| Range | 17 to 845 U/L | 15 to 691 U/L | 1.3 to 18.5 μg/dL |
| Slope (95% CI) | 0.975 (0.972 to 0.979) | 1.038 (1.029 to 1.048) | 1.004 (0.972 to 1.037) |
| Intercept (95% CI) | 4.3 (3.5 to 5.2) | -4.8 (-6.4 to -3.3) | -0.08 (-0.33 to 0.17) |
| Correlation Coefficient (R) | 0.9999 | 0.9995 | 0.9937 |
# Serum POL Method Comparison Study:
Method comparison studies were performed following CLSI document EP9-A2IR. Patient serum samples were run in singlicate at three POL sites on ACE Alera Clinical Chemistry Systems (y-axis) and in-house on the ACE Clinical Chemistry System (x-axis) using at least two lots of each reagent. In order to span the reportable range of the assay, some of the samples were spiked ( $\gamma$ -GT - 5, Lipase - 5, T4 - 3 at all five sites and T4 - 1 at POL3) and / or diluted (T4 - 2). Data were analyzed by Deming linear regression. Results are summarized in the table below:
| Reagent | Statistic Parameters | ACE In-House (x) vs. ACE Alera POL 1 (y) | ACE In-House (x) vs. ACE Alera POL 2 (y) | ACE In-House (x) vs. ACE Alera POL 3 (y) |
| --- | --- | --- | --- | --- |
| γ-GT | N | 51 | 51 | 51 |
| | Range | 13 to 821 U/L | 16 to 880 U/L | 16 to 849 U/L |
| | Slope (95% CI) | 0.950 (0.945 to 0.956) | 1.028 (1.02 to 1.036) | 0.996 (0.990 to 1.003) |
| | Intercept (95% CI) | 1.9 (0.7 to 3.1) | 2.9 (1.2 to 4.7) | 2.4 (0.9 to 3.9) |
| | Correlation Coefficient (R) | 0.9998 | 0.9996 | 0.9997 |
| Lipase | N | 51 | 50 | 51 |
| | Range | 21 to 669 U/L | 16 to 647 U/L | 14 to 664 U/L |
| | Slope (95% CI) | 1.028 (1.001 to 1.054) | 1.017 (0.993 to 1.040) | 0.992 (0.978 to 1.006) |
| | Intercept (95% CI) | 3.3 (-1.0 to 7.6) | -3.5 (-7.3 to 0.3) | -2.9 (-5.2 to -0.7) |
| | Correlation Coefficient (R) | 0.9960 | 0.9969 | 0.9988 |
| T4 | N | 50 | 50 | 48 |
| | Range | 1.7 to 18.6 μg/dL | 1.7 to 19.2 μg/dL | 1.5 to 18.8 μg/dL |
| | Slope | 1.022 | 1.048 | 1.033 |
{14}
# b. Matrix Comparison:
To characterize correlation between lithium heparin plasma (y-axis) and serum (x-axis), a matrix comparison study was performed for each measurand using paired samples on the ACE, ACE Alera and ACE Axcel analyzers. All specimens were run in singlicate using at least two lots of each reagent. In order to span the reportable range of the assay, some of the samples were spiked ( $\gamma$ -GT - 4 on ACE Axcel; Lipase - 10 on ACE and ACE Alera, and 4 on ACE Axcel; T4 - 3 on all) and / or diluted (T4 - 1 on all). Data were analyzed by Deming linear regression. Results are summarized in the table below:
Serum (x-axis) versus Lithium heparin plasma (y-axis):
| Reagent | Statistic Parameters | ACE | ACE Alera | ACE Axcel |
| --- | --- | --- | --- | --- |
| γ-GT | N | 100 | 97 | 53 |
| | Range | 8 to 861 U/L | 11 to 809 U/L | 13 to 915 U/L |
| | Slope (95% CI) | 0.972 (0.964 to 0.981) | 0.960 (0.951 to 0.969) | 0.987 (0.967 to 1.008) |
| | Intercept (95% CI) | 1.5 (-0.3 to 3.3) | 2.8 (0.8 to 4.7) | 4.0 (-1.8 to 9.8) |
| | Correlation Coefficient (R) | 0.9990 | 0.9989 | 0.9973 |
| Lipase | N | 42 | 43 | 62 |
| | Range | 15 to 659 U/L | 18 to 662 U/L | 15 to 662 U/L |
| | Slope (95% CI) | 1.024 (1.011 to 1.038) | 1.022 (1.010 to 1.033) | 0.980 (0.954 to 1.007) |
| | Intercept (95% CI) | -2.5 (-5.0 to -0.1) | -0.9 (-3.0 to 1.2) | -2.0 (-5.9 to 2.0) |
| | Correlation Coefficient (R) | 0.9992 | 0.9994 | 0.9947 |
| T4 | N | 55 | 55 | 55 |
| | Range | 2.1 to 18.7 μg/dL | 1.9 to 17.9 μg/dL | 2.1 to 18.2 μg/dL |
| | Slope (95% CI) | 0.963 (0.916 to 1.009) | 0.976 (0.933 to 1.019) | 1.007 (0.958 to 1.057) |
| | Intercept (95% CI) | 0.35 (-0.03 to 0.73) | 0.17 (-0.18 to 0.51) | 0.01 (-0.38 to 0.40) |
| | Correlation Coefficient (R) | 0.9847 | 0.9870 | 0.9841 |
{15}
16
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):
Not applicable.
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range for Serum/Plasma:
Expected values are based on the literature reference:
γ-GT: Male, 13.0 to 68.0 U/L; Female, 11.0 to 48.0 U/L (Ref. 2)
Lipase: Less than 60.0 U/L (Ref. 3)
T4: 5.0 to 12.0 µg/dL (Ref. 4)
² Reference Intervals – UNC Hospitals, McLendon Clinical Laboratories
http://unchealthcare.org/labtestinfo
³ Wu, A.H.B. (Ed.), Tietz Clinical Guide to Laboratory Tests, 4th edition, Saunders, Elsevier, St. Louis, MO (2006).
⁴ Tietz, et. al., (Ed.), Clinical Guide to laboratory Tests, W.B. Saunders Co., 2nd edition, Philadelphia, PA (1990)
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.
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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.