The Alinity c Glucose Reagent Kit is used for the quantitation of glucose in human serum, plasma, urine, or cerebrospinal fluid (CSF) on the Alinity c analyzer. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma. The Alinity c System is a fully automated, random/continuous access, clinical chemistry analyzer intended for the in vitro determination of analytes in body fluids.
Device Story
The Alinity c System is a fully automated, random/continuous access clinical chemistry analyzer used in clinical laboratories. It processes human serum, plasma, urine, or CSF samples. The system utilizes photometric and potentiometric detection technologies. For glucose quantification, the Alinity c Glucose Reagent Kit employs an enzymatic hexokinase/G-6-PDH method: glucose is phosphorylated by hexokinase in the presence of ATP and magnesium to produce G-6-P; G-6-PDH then oxidizes G-6-P to 6-phosphogluconate, reducing NAD to NADH. The resulting NADH is measured spectrophotometrically at 340 nm, with absorbance proportional to glucose concentration. The system features a robotic sample handler, continuous reagent/bulk solution access, and automated retest/priority loading capabilities. Healthcare providers use the quantitative results to diagnose and manage carbohydrate metabolism disorders and pancreatic conditions. The device benefits patients by providing rapid, automated, and accurate glucose monitoring.
Clinical Evidence
Bench testing only. Precision studies (CLSI EP05-A2) demonstrated within-laboratory imprecision ≤5% CV for serum/CSF and ≤6% CV for urine. Accuracy verified against NIST SRM 965b standards. LoB, LoD, and LoQ determined per CLSI EP17-A2. Linearity confirmed per CLSI EP06-A. Interference studies (CLSI EP07-A2) showed no significant bias from common endogenous/exogenous substances. Method comparison (CLSI EP09-A3) against ARCHITECT c System showed high correlation (r=1.00) across serum, urine, and CSF samples.
Indicated for quantitation of glucose in human serum, plasma, urine, or CSF to aid in diagnosis/treatment of carbohydrate metabolism disorders (diabetes mellitus, neonatal/idiopathic hypoglycemia) and pancreatic islet cell carcinoma. For prescription and in vitro diagnostic use only.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, 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
Glucose (k060383)
AEROSET/ARCHITECT c System family members (k980367)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k170316
B. Purpose for Submission:
Adding a previously cleared assay to a new instrument platform
C. Measurand:
Glucose
D. Type of Test:
Quantitative, colorimetric, enzymatic (hexokinase)
E. Applicant:
Abbott Laboratories
F. Proprietary and Established Names:
Alinity c Glucose Reagent Kit
Alinity c System
G. Regulatory Information:
1. Regulation section:
| Device | Product Code | Classification | Regulation | Panel |
| --- | --- | --- | --- | --- |
| Alinity c Glucose Reagent Kit | CFR | Class II | CFR 862.1345
Glucose test system | Clinical Chemistry (75) |
| Alinity c System | JJE | Class I | CFR 862.2160
Discrete photometric chemistry analyzer for clinical use | |
1
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H. Intended Use:
1. Intended use(s):
See Indication(s) for use.
2. Indication(s) for use:
**Alinity c Glucose Reagent Kit**
The Alinity c Glucose Reagent Kit is used for the quantitation of glucose in human serum, plasma, urine, or cerebrospinal fluid (CSF) on the Alinity c analyzer. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
**The Alinity c System**
The Alinity c System is a fully automated, random/continuous access, clinical chemistry analyzer intended for the in vitro determination of analytes in body fluids.
3. Special conditions for use statement(s):
For prescription use only.
For in vitro diagnostic use only.
4. Special instrument requirements:
Alinity c System
I. Device Description:
**Alinity c Glucose Reagent Kit**
The Alinity c Glucose Reagent Kit has the same bulk reagents as the reagent cleared for use with the predicate device: Glucose Assay for use on the Abbott ARCHITECT c8000 and Abbott AEROSET systems (k060383). The reagent container for Alinity c Glucose Reagent Kit has changed and performance has been established on the Alinity c System as the candidate test system in this submission.
The Alinity c Glucose Reagent Kit consists of ATP•2Na (9.0 mg/mL), NAD (5.0 mg/mL), G-6-PDH (3000 U/L), hexokinase (15 000 U/L), and preservative: sodium azide (0.05%).
**Alinity c Multiconstituent Calibrator Kit**
The calibration of the Alinity c Glucose Reagent Kit on the Alinity c System uses the Alinity c Multiconstituent Calibrator Kit.
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# Alinity c System
The Alinity c System is a fully automated, random access chemistry analyzer using detection technologies to determine analyte concentrations in body fluids.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
Abbott Glucose Reagent
Abbott AEROSET System
2. Predicate 510(k) number(s):
k060383
k980367
3. Comparison with predicate:
Alinity c Glucose Reagent Kit
| Item | Candidate Device
Alinity c Glucose Reagent Kit
k170316 | Predicate Device
Glucose Reagent
k060383 |
| --- | --- | --- |
| Similarities | | |
| Intended Use | For the quantitation of glucose in human serum, plasma, urine, or cerebrospinal fluid (CSF). | Same |
| Assay principle | Glucose hexokinase method | Same |
| Detection of analyte | End-point colorimetric | Same |
| Reagent formulation | R1: Active ingredients: ATP•2Na, NAD, G-6-PDH, and Hexokinase. | Same |
| Specimen Type | Human serum, plasma, urine or CSF | Same |
| Assay range | Serum/Plasma:
5-800 mg/dL (0.28-44.4 mM)
Urine/CSF:
1-800 mg/dL (0.06-44.4 mM) | Same |
| Tube types | Serum: serum tubes (with or without gel barriers)
Plasma: acceptable anticoagulants in collection tubes are lithium heparin (with or without gel barrier), sodium heparin, sodium fluoride/potassium oxalate, EDTA | Same |
| Use of calibrators | Yes | Same |
| Use of controls | Yes, commercially available controls | Same |
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| Item | Candidate Device
Alinity c Glucose Reagent Kit
k170316 | Predicate Device
Glucose Reagent
k060383 |
| --- | --- | --- |
| Differences | | |
| Reagent container | Polypropylene; black color | High density polyethylene; white colorant |
| Closure material for reagent container | High density polyethylene; black color | F217 cap liner; polyethylene foam between low-density polyethylene liners; green color |
## Alinity c System
| Item | Candidate Device
Alinity c System
k170316 | Predicate Device
AEROSET System
k980367 |
| --- | --- | --- |
| Similarities | | |
| Intended use | For in vitro determination of analytes in body fluids. | Same |
| Detection Technology | Potentiometric/photometric | Same |
| Sample Handling | Robotic sample handler (RSH), transport system that has random and continuous access to samples.
Autoretest Capability. Priority and batch sample loading. | Same |
| Reagent Handling | The on-board storage area cooler provides evaporation control.
Continuous Reagent Access. | Same |
| Differences | | |
| Calibrator/Control Automation | Direct aspiration from the calibrator/control bottles | None |
| Reagent access | Continuous reagent access | Scheduled reagent access |
| Bulk solutions replenishment | Continuous bulk solution access | Scheduled bulk solution access |
| Priority sample loading | All carrier positions are available to have a priority sample loading designation. | Select positions available for priority loading. |
## K. Standard/Guidance Document Referenced (if applicable):
CLSI EP05-A2, Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline - Second Edition.
CLSI EP06-A, Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline.
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CLSI EP07-A2, Interference Testing in Clinical Chemistry; Approved Guideline - Second Edition.
CLSI EP09-A3, Measurement Procedure Comparison and Bias Estimation Using Patient Samples; Approved Guideline– Third Edition.
CLSI EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline– Second Edition.
CLSI EP25-A, Evaluation of Stability of In Vitro Diagnostic Reagents; Approved Guideline.
IEC/EN 61010-1:2010 (3rd Edition) Safety Requirements for Electrical Equipment for Measurement Control and Laboratory Use – Part 1 General Requirements.
## L. Test Principle:
The concentration of glucose is determined by the glucose hexokinase method. Glucose in the specimen is phosphorylated by hexokinase (HK) in the presence of adenosine triphosphate (ATP) and magnesium ions to produce glucose-6-phosphate (G-6-P) and adenosine diphosphate (ADP). Glucose-6-phosphate dehydrogenase (G-6-PDH) oxidizes G-6-P to 6-phosphogluconate with the concurrent reduction of nicotinamide adenine dinucleotide (NAD) to nicotinamide adenine dinucleotide reduced (NADH). The NADH produced is detected spectrophotometrically at 340 nm.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision studies to derive repeatability and within-laboratory precision were performed in accordance with CLSI EP05-A2 guideline.
**Serum glucose:**
The samples were three levels of control material and three levels of spiked human serum (Panels A, B, and C). Precision for spiked human serum was evaluated using two instruments and two reagent lots per instrument in 3 replicates per run, 2 runs per day across 22 days for 528 total results. Control samples were tested using two instruments and two reagent lots with only one reagent lot per instrument in 3 replicates per run, 2 runs per day across 22 days for 264 results per instrument/reagent lot; one representative lot is shown below. Estimates for repeatability and within-laboratory precision were analyzed by ANOVA and the results are summarized as follows. The number of actual results was slightly reduced due to instrument errors.
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| | | | Repeatability | | Within-Laboratory* | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | N | Mean (mg/dL) | SD | %CV | SD | %CV |
| Control Level 1 | 264 | 55 | 0.6 | 1.1 | 0.7 | 1.2 |
| Control Level 2 | 263 | 128 | 0.9 | 0.7 | 1.3 | 1.0 |
| Control Level 3 | 260 | 311 | 2.1 | 0.7 | 2.5 | 0.8 |
| Panel A | 527 | 7 | 0.1 | 1.9 | 0.1 | 1.9 |
| Panel B | 528 | 106 | 0.8 | 0.8 | 1.0 | 0.9 |
| Panel C | 523 | 728 | 5.6 | 0.8 | 5.9 | 0.8 |
*includes within run, between run, and between day variances.
# Urine glucose:
The samples were two levels of control material and four synthetic urine samples spiked with glucose urine stock solution (Panel A, B, C, and D). Precision for spiked urine samples was evaluated using two instruments and two reagent lots per instrument in 3 replicates per run, 2 runs per day across 22 days for 528 total results. Control samples were tested using two instruments and two reagent lots with only one reagent lot per instrument in 3 replicates per run, 2 runs per day across 22 days for 264 results per instrument/reagent lot; one representative lot is shown below. Estimates for repeatability and within-laboratory precision were analyzed by ANOVA and the results are summarized as follows. The number of actual results was slightly reduced due to instrument errors.
| | | | Repeatability | | Within-Laboratory* | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | N | Mean (mg/dL) | SD | %CV | SD | %CV |
| Control Level 1 | 263 | 38 | 0.3 | 0.9 | 0.6 | 1.4 |
| Control Level 2 | 260 | 359 | 2.9 | 0.8 | 3.4 | 1.0 |
| Panel A | 527 | 3 | 0.1 | 3.8 | 0.1 | 3.8 |
| Panel B | 526 | 60 | 1.0 | 1.6 | 1.2 | 2.1 |
| Panel C | 528 | 110 | 2.4 | 2.2 | 3.1 | 2.8 |
| Panel D | 525 | 712 | 6.2 | 0.9 | 8.1 | 1.1 |
*includes within run, between run, and between day variances.
# CSF glucose:
The samples were two levels of control material and four human CSF pools spiked with glucose CSF stock solution (Panel A, B, C, and D). Precision for spiked human CSF samples was evaluated using two instruments and two reagent lots per instrument in 3 replicates per run, 2 runs per day across 22 days for 528 total results. Control samples were tested using two instruments and two reagent lots with only one reagent lot per instrument in 3 replicates per run, 2 runs per day across 22 days for 264 results per instrument/reagent lot; one lot representative is shown below. Estimates for repeatability and within-laboratory precision were analyzed by ANOVA and the results are summarized as follows. The number of actual results
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was slightly reduced due to instrument errors.
| | | | Repeatability | | Within-Laboratory* | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | N | Mean (mg/dL) | SD | %CV | SD | %CV |
| Control Level 1 | 264 | 60 | 0.5 | 0.9 | 0.6 | 1.1 |
| Control Level 2 | 263 | 31 | 0.4 | 1.1 | 0.4 | 1.3 |
| Panel A | 527 | 3 | 0.1 | 4.8 | 0.1 | 4.8 |
| Panel B | 528 | 57 | 0.4 | 0.8 | 0.5 | 0.9 |
| Panel C | 527 | 107 | 0.7 | 0.7 | 0.8 | 0.8 |
| Panel D | 526 | 700 | 3.8 | 0.5 | 4.8 | 0.7 |
*includes within run, between run, and between day variances.
# b. Linearity/assay reportable range:
Linearity was evaluated in accordance with CLSI EP06-A guideline.
# Serum glucose:
One low-level glucose sample, SeraSub (synthetic serum) and one high-level serum glucose sample were inter-diluted to prepare 13 test sample concentrations (828, 796, 777, 730, 560, 361, 189, 93, 48, 22, 4, 2, and $0\mathrm{mg / dL}$ ) spanning the claimed measuring range. Test samples were assayed in a minimum of two replicates using one instrument, reagent lot, calibrator lot, and control lot.
# Urine glucose:
One low-level glucose sample, UriSub (synthetic urine) and one high-level urine glucose sample were inter-diluted to prepare 15 test sample concentrations (843, 814, 794 745, 551, 369, 198, 98, 25, 10, 6, 1, 0 mg/dL) spanning the claimed measuring range. Test samples were assayed in a minimum of two replicates using one instrument, reagent lot, calibrator lot, and control lot.
# CSF glucose:
One low-level glucose sample, UriSub and one high-level human CSF glucose sample were inter-diluted to prepare 15 concentrations (887, 846, 825, 783, 574, 365, 209, 105, 26, 11, 5, 1.1, 1.0, 0.6, 0.1 mg/dL) spanning the claimed measuring range. Test samples were assayed in a minimum of two replicates using one instrument, reagent lot, calibrator lot, and control lot.
For each specimen type, the mean sample concentration result for each test sample was compared to the expected result determined by the dilution factor and analyzed by regression analysis. Results of the linear regression analysis per sample type are presented in the table below.
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| Sample | Slope | Intercept | R2 |
| --- | --- | --- | --- |
| Serum | 0.9903 | -0.1 | 0.9993 |
| Urine | 0.9616 | -0.2 | 0.9988 |
| CSF | 0.9476 | -0.4 | 0.9986 |
The observed linear range supports the claim that the Alinity c Glucose Reagent is linear across the measuring interval of 5 to $800\mathrm{mg / dL}$ for serum and 1 to $800\mathrm{mg / dL}$ for urine and CSF.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: The Alinity c Glucose Reagent Kit is traceable to NIST standard reference material 965b.
Stability: The shelf life stability and open on-board reagent stability of the Alinity c Glucose Reagent Kit was previously established in k060383. The open onboard stability claim is 30 days. The sponsor claims a product shelf-life/expiration of 12 months.
d. Detection limit:
Limit of Blank (LoB), Limit of Detection (LoD), and Limit of Quantitation (LoQ) were evaluated in accordance with CLSI EP17-A2 guideline.
To determine LoB, one blank sample was assayed a minimum of 5 replicates over 3 days. The LoB was calculated as the 95th percentile of the zero-analyte measurements. The sponsor's study supported a LoB of $0.33\mathrm{mg / dL}$ for the serum application and $0.23\mathrm{mg / dL}$ for the urine/CSF application.
To determine LoD, five low-level samples were prepared by diluting a glucose serum stock solution and assaying 10 replicates over 3 days. LoD was evaluated from the lowest analyte level that had at least $95\%$ of the replicates greater than the LoB. The sponsor's study supported an LOD of $0.55\mathrm{mg / dL}$ for the serum application and $0.40\mathrm{mg / dL}$ for the urine/CSF application. The sponsor determined the functional sensitivity of the Alinity c Glucose Reagent Kit based on the LOQ on the Alinity c System.
To determine the LoQ, test levels near the linear low limit for the glucose assay were run in replicates of 10 on three instruments over 3 days. The limit of quantitation was defined as the lowest concentration of analyte which has imprecision less than or equal to $20\%$ CV. The sponsor's study supported a LoQ of $2.25\mathrm{mg / dL}$ for the serum application and $0.86\mathrm{mg / dL}$ for the urine/CSF application. e. Analytical specificity:
Potential interference was in accordance with CLSI EP07-A2 guideline.
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# Serum glucose:
Interference from six drugs and four endogenous substances was evaluated using Technopath Serum Matrix spiked with high (135 mg/dL) or low (93 mg/dL) glucose levels. Test samples were prepared by spiking each drug (one concentration per interferent) or endogenous substance (two concentrations per interferent) into the low and high glucose samples, and comparing to control samples containing no interferent. The sponsor defined significant interference as bias >6% or >1 mg/dL between the test and control samples.
| Potentially Interfering Substance | Highest concentration tested that did not show significant interference |
| --- | --- |
| Unconjugated Bilirubin | 30 mg/dL |
| Conjugated Bilirubin | 60 mg/dL |
| Hemoglobin | 2,000 mg/dL |
| Triglycerides | 2,000 mg/dL |
| Ascorbic Acid | 6 mg/dL |
| Acetaminophen | 20 mg/dL |
| Ibuprofen | 50 mg/dL |
| Acetylcysteine | 167 mg/dL |
| Acetylsalicylic Acid | 66 mg/dL |
| Sodium Salicylate | 70 mg/dL |
# Urine glucose:
Interference was evaluated using UriSub spiked with high (135 mg/dL) or low (93 mg/dL) glucose levels. Test samples were prepared by spiking each potential interferent into the low and high glucose samples, and results compared to control samples containing no interferent. The sponsor defined significant interference as bias >10% or >1 mg/dL between the test and control samples.
| Potentially Interfering Substance | Highest concentration of interferent tested that did not show significant interference |
| --- | --- |
| Protein | 50 mg/dL |
| Ascorbate | 200 mg/dL |
| 8.5 N Acetic Acid | 6.25 mL/dL |
| Boric Acid | 250 mg/dL |
| 6 N Hydrochloric Acid | 2.5 mL/dL |
| 6 N Nitric Acid | 5 mL/dL |
| Sodium Oxalate | 60 mg/dL |
| Sodium Carbonate | 1.25 g/dL |
| Sodium Fluoride | 400 mg/dL |
| Acetaminophen | 20 mg/dL |
| Ibuprofen | 50 mg/dL |
| Acetylcysteine | 167 mg/dL |
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The sponsor included the following limitation in the labeling:
"The Alinity c Glucose assay using the serum application is susceptible to interference effects from unconjugated bilirubin at $>30\mathrm{mg / dL}$ ."
f. Assay cut-off:
Not applicable
# 2. Comparison studies:
a. Method comparison with predicate device:
A method comparison study was performed in accordance with CLSI EP09-A3 guideline. Serum, urine, and CSF glucose samples were measured using two Alinity c Systems and an ARCHITECT c8000 System (k060383) as the comparator method. Samples were tested in duplicate on each system. The first replicate for the Alinity c System was compared to the mean concentration from the ARCHITECT c System. The number and range of samples tested for each matrix are listed in the table below with representative results using a Passing-Bablok linear regression. Less than $15\%$ of samples were prepared by diluting or spiking specimens.
| Matrix | N | Slope | y-intercept | Correlation Coefficient | Test Range (mg/dL) |
| --- | --- | --- | --- | --- | --- |
| Serum | 98 | 1.00 | -1.78 | 1.00 | 8-791 |
| Urine | 118 | 0.99 | 0.25 | 0.99 | 4-785 |
| CSF | 90 | 1.00 | 0.50 | 1.00 | 4-740 |
b. Matrix comparison:
A matrix comparison study was performed to evaluate collection tube types suitable for use with the Alinity c Glucose Reagent Kit on the Alinity c System. A minimum of 40 sets of matched samples were tested in duplicate using one instrument, reagent lot, calibrator lot, and control lot. For each set of samples, the first replicate for the evaluation collection tube type was compared to the mean concentration for the serum sample control and analyzed using a Passing-Bablok linear regression. Results are summarized in the table below:
| Sample type | N | Slope | y-intercept | Correlation Coefficient | Test Range (mg/dL) |
| --- | --- | --- | --- | --- | --- |
| Serum Separator | 46 | 1.00 | -0.13 | 1.00 | 10-757 |
| Dipotassium EDTA | 43 | 1.00 | 1.29 | 1.00 | |
| Lithium heparin | 46 | 0.99 | 1.22 | 1.00 | |
| Sodium heparin | 46 | 0.99 | 1.26 | 1.00 | |
| Sodium fluoride/Potassium oxalate | 43 | 0.99 | 1.32 | 1.00 | |
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The results of the matrix comparison study support the claim that serum, dipotassium EDTA, sodium heparin, lithium heparin, and sodium fluoride/potassium oxalate plasma anti-coagulants are suitable for use with the Alinity c Glucose Reagent Kit.
# 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:
| Serum (fasting) | | |
| --- | --- | --- |
| | Range (mg/dL) | Range (mmol/L) |
| Cord | 45 to 96 | 2.5 to 5.3 |
| Premature | 20 to 60 | 1.1 to 3.3 |
| Neonate | 30 to 60 | 1.7 to 3.3 |
| Newborn, 1 day | 40 to 60 | 2.2 to 3.3 |
| Newborn, >1 day | 50 to 80 | 2.8 to 4.5 |
| Child | 60 to 100 | 3.3 to 5.6 |
| Adult | 74 to 100 | 4.1 to 5.6 |
| >60 yeas | 82 to 115 | 4.1 to 5.6 |
| >90 years | 75 to 121 | 4.2 to 6.7 |
| Urine | | |
| | Range | Range |
| Random | 1 to 15 mg/dL | 0.1 to 0.8 mmol/L |
| 24 hour | < 0.5 g/day | < 2.8 mmol/day |
| Cerebrospinal Fluid | | |
| Infant, child | 60 to 80 mg/dL | 3.3 to 4.5 mmol/L |
| Adult | 40 to 70 mg/dL | 2.2 to 3.9 mmol/L |
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The reported reference ranges are from: Burtis CA, Ashwood ER, Bruns DE, editors. Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 5th ed. St. Louis, MO: Elsevier Saunders; 2012:2149.
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N. Instrument Name:
Alinity c System
O. System Descriptions:
1. Modes of Operation:
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
☑ Yes ☐ X or No
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
☑ Yes ☐ X or No
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
☑ Yes ☐ X or No
3. Specimen Identification:
Sample barcode, rack barcode
4. Specimen Sampling and Handling:
Instructions on specimen handling, storage, and shipping is provided in the package insert for the reagents.
5. Calibration:
Instruction for calibration is provided in the package insert for the assays and in the operator’s manual for the Alinity c System. Calibration is required with each change in reagent lot. Calibration verification should be conducted with at least 2 levels of controls according to the established quality control requirements for the laboratory. If control results fall outside acceptable ranges, recalibration may be necessary.
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6. Quality Control:
The sponsor recommends that two levels of controls (normal and abnormal) should be tested every 24 hours. Two levels of controls should be used to verify each calibration. The Alinity c System is equipped with quality control analysis software to monitor quality control data with Levey-Jennings graphs, Westgard rules, control range tracking, and quality control data summaries. The sponsor also recommends verification procedures be performed to verify Alinity ci series claims. Quality control testing should be performed in accordance with regulatory requirements and each laboratory’s standard procedure.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In the "Performance Characteristics" Section above:
EMC and Electrical Safety: The Alinity c System was tested and passed for compliance to EMC and Electrical Safety standards.
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
13
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.