The Alinity c ICT (Integrated Chip Technology) is used for the quantitation of sodium, potassium, and chloride in human serum, plasma, or urine on the Alinity c analyzer. Sodium measurements are used in the diagnosis and treatment of aldosteronism (excessive secretion of the hormone aldosterone), diabetes insipidus (chronic excretion of large amounts of dilute urine, accompanied by extreme thirst), adrenal hypertension, Addison's disease (caused by destruction of the adrenal glands), dehydration, inappropriate antidiuretic hormone secretion, or other diseases involving electrolyte imbalance. Potassium measurements are used to monitor electrolyte balance in the diagnosis and treatment of diseases conditions characterized by low or high blood potassium levels. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
Device Story
Alinity c ICT Sample Diluent is an accessory for the Alinity c analyzer; enables quantitative measurement of sodium, potassium, and chloride in human serum, plasma, or urine. Device uses solid-state ion-selective electrodes (ISE) to measure electrical potential across ion-selective membranes; potential compared to calibrator voltages to determine ion concentration. Used in clinical laboratory settings by trained personnel. Output provides electrolyte concentrations to clinicians for diagnosis and monitoring of metabolic and electrolyte disorders. Benefits include rapid, automated electrolyte profiling to guide clinical decision-making for patients with suspected electrolyte imbalances.
Clinical Evidence
Bench testing only. Precision evaluated per CLSI EP05-A2; linearity per EP06-A; interference per EP07-A2; method comparison per EP09-A3. Method comparison against ARCHITECT analyzer showed high correlation (r=1.00) for all analytes across serum and urine. No clinical data presented.
Technological Characteristics
Solid-state ion-selective electrodes (ISE); potentiometric sensing. Reagent container: Polypropylene (black). Closure: HDPE (black). Connectivity: Integrated with Alinity c System. Software: Embedded instrument control. Sterilization: Not applicable (reagent).
Indications for Use
Indicated for quantitation of sodium, potassium, and chloride in human serum, plasma, or urine for diagnosis/treatment of electrolyte/metabolic disorders including aldosteronism, diabetes insipidus, adrenal hypertension, Addison's disease, dehydration, inappropriate ADH secretion, cystic fibrosis, and diabetic acidosis.
Regulatory Classification
Identification
A chloride test system is a device intended to measure the level of chloride in plasma, serum, sweat, and urine. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
Predicate Devices
ICT (Na+, K+, Cl-) Sample Diluent (k980367)
Submission Summary (Full Text)
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k170320
B. Purpose for Submission:
New device
C. Measurand:
Sodium, Potassium, Chloride
D. Type of Test:
Quantitative ion selective electrodes
E. Applicant:
Abbott Laboratories
F. Proprietary and Established Names:
Alinity c ICT Sample Diluent
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JGS | II | 862.1665, Sodium Test System | 75-Chemistry |
| CEM | II | 862.1600, Potassium Test System | 75-Chemistry |
| CGZ | II | 862.1170, Chloride Test System | 75-Chemistry |
H. Intended Use:
1. Intended use(s):
See indications for use below.
{1}
2. Indication(s) for use:
The Alinity c ICT (Integrated Chip Technology) is used for the quantitation of sodium, potassium, and chloride in human serum, plasma, or urine on the Alinity c analyzer.
Sodium measurements are used in the diagnosis and treatment of aldosteronism (excessive secretion of the hormone aldosterone), diabetes insipidus (chronic excretion of large amounts of dilute urine, accompanied by extreme thirst), adrenal hypertension, Addison's disease (caused by destruction of the adrenal glands), dehydration, inappropriate antidiuretic hormone secretion, or other diseases involving electrolyte imbalance.
Potassium measurements are used to monitor electrolyte balance in the diagnosis and treatment of diseases conditions characterized by low or high blood potassium levels.
Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
3. Special conditions for use statement(s):
For prescription use only.
4. Special instrument requirements:
Alinity c System (cleared in k170316)
I. Device Description:
The Alinity c ICT Sample Diluent is for use with the Alinity c ICT module on the Alinity c System. The Alinity c ICT Sample Diluent consists of 68.2 mL reagent 1 and buffer for 9350 tests (935 tests per cartridge, x10 cartridges per kit). One test per sample can generate one to three results (Na+, K+, and Cl-).
J. Substantial Equivalence Information:
1. Predicate device name(s):
Abbott AEROSET System
2. Predicate 510(k) number(s):
k980367
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3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device Alinity c ICT Sample Diluent on the Alinity c System k170320 | Predicate Device AEROSET System k980367 |
| Intended Use | For the quantitation of sodium, potassium, and chloride in human serum, plasma, or urine. | Same |
| Analyte Measured | Sodium, Potassium, and Chloride | Same |
| Assay Principle | Solid-state ion-selective electrode diluted (Indirect) with an Integrated Chip Technology module | Same |
| Assay Range | Serum/Plasma Sodium: 100 to 200 mmol/L Potassium: 1.0 to 10.0 mmol/L Chloride: 50 to 150 mmol/L Urine Sodium: 20 to 400 mmol/L Potassium: 1.0 to 300.0 mmol/L Chloride: 20 to 300 mmol/L | Same |
| Detection of Analyte | Potentiometric | Same |
| Specimen Type | Human serum, plasma, or urine | Same |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device Alinity c ICT Sample Diluent on the Alinity c System k170320 | Predicate AEROSET System k980367 |
| Closure material for reagent container | High Density Polyethylene Black color | F217 cap liner Polyethylene foam between Low-Density Polyethylene liners Green color |
| Reagent Container | Polypropylene Black colorant | High Density Polyethylene Natural color (Does not contain colorant) |
K. Standard/Guidance Document Referenced (if applicable):
CLSI C24-A3: Statistical Quality Control for Quantitative Measurement Procedures: Principles and Definitions; Approve Guideline, $3^{\mathrm{rd}}$ Edition
{3}
CLSI EP05-A2: Evaluation of Precision of Quantitative Measurement Methods, 2nd Edition
CLSI EP06-A: Evaluation of the Linearity of Quantitative Measurement Procedures; A Statistical Approach, 2nd Edition
CLSI EP07-A2: Interference Testing in Clinical Chemistry, 2nd Edition
CLSI EP09-A3: Measurement Procedure Comparison and Bias Estimation Using Patient Samples, 3rd Edition
CLSI EP25-A: Evaluation of Stability of In Vitro Diagnostic Reagents, Approved Guideline
## L. Test Principle:
Ion-selective electrodes (ISE) for sodium, potassium, and chloride utilize membranes selective to each of these ions. An electrical potential (voltage) is developed across the membranes between the reference and measuring electrodes in accordance with the Nernst equation. The voltage is compared to previously determined calibrator voltages and converted into ion concentration.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision testing was performed in accordance with CLSI EP05-A2 guideline.
Precision for Na+, K+, and Cl- were evaluated by testing two lots of controls, serum pools, and urine pools in three replicates per run, two runs per day for 20 days. Serum and urine pools were tested using two reagent lots. The studies were performed on two instruments.
Precision studies for serum sodium, potassium, and chloride are shown in the table below for one representative lot.
| | | | Within-run | | Total* | |
| --- | --- | --- | --- | --- | --- | --- |
| Test | Samples | Mean (mmol/L) | SD | %CV | SD | %CV |
| Serum Na+ | Control Level 1 | 125 | 0.5 | 0.4 | 0.9 | 0.7 |
| | Control Level 2 | 144 | 0.5 | 0.4 | 0.9 | 0.6 |
| | Control Level 3 | 161 | 0.5 | 0.3 | 1.0 | 0.6 |
| | Panel A | 112 | 0.4 | 0.4 | 0.8 | 0.7 |
| | Panel B | 190 | 0.8 | 0.4 | 1.4 | 0.7 |
| Serum K+ | Control Level 1 | 2.8 | 0.03 | 0.9 | 0.04 | 1.4 |
| | Control Level 2 | 4.0 | 0.02 | 0.6 | 0.03 | 0.8 |
| | Control Level 3 | 6.8 | 0.03 | 0.4 | 0.05 | 0.7 |
| | Panel A | 1.6 | 0.02 | 1.1 | 0.03 | 1.7 |
| | Panel B | 9.4 | 0.04 | 0.4 | 0.06 | 0.7 |
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| | | | Within-run | | Total* | |
| --- | --- | --- | --- | --- | --- | --- |
| Test | Samples | Mean (mmol/L) | SD | %CV | SD | %CV |
| Serum Cl- | Control Level 1 | 85 | 0.5 | 0.6 | 0.7 | 0.8 |
| | Control Level 2 | 95 | 0.4 | 0.4 | 0.6 | 0.7 |
| | Control Level 3 | 110 | 0.5 | 0.5 | 0.8 | 0.7 |
| | Panel A | 55 | 0.3 | 0.6 | 0.6 | 1.0 |
| | Panel B | 132 | 0.6 | 0.4 | 1.0 | 0.8 |
*includes within run, between run, between day, between lots and between instrument
Precision studies for urine sodium, potassium, and chloride are shown in the table below for one representative lot.
| | | | Within-run | | Total | |
| --- | --- | --- | --- | --- | --- | --- |
| Test | Samples | Mean (mmol/L) | SD | %CV | SD | %CV |
| Urine Na+ | Control Level 1 | 92 | 0.6 | 0.7 | 1.0 | 1.1 |
| | Control Level 2 | 161 | 0.7 | 0.4 | 1.0 | 0.6 |
| | Panel A | 21 | 0.5 | 2.3 | 0.6 | 2.9 |
| | Panel B | 383 | 1.5 | 0.4 | 3.9 | 1.0 |
| Urine K+ | Control Level 1 | 16.6 | 0.06 | 0.3 | 0.13 | 0.8 |
| | Control Level 2 | 58.1 | 0.17 | 0.3 | 0.34 | 0.6 |
| | Panel A | 1.7 | 0.02 | 1.4 | 0.04 | 2.4 |
| | Panel B | 127.7 | 0.35 | 0.3 | 0.68 | 0.5 |
| | Panel C | 284.5 | 0.82 | 0.3 | 1.91 | 0.7 |
| Urine Cl- | Control Level 1 | 103 | 0.5 | 0.4 | 0.9 | 0.9 |
| | Control Level 2 | 193 | 0.7 | 0.4 | 1.2 | 0.6 |
| | Panel A | 24 | 0.3 | 1.1 | 0.4 | 1.6 |
| | Panel B | 273 | 0.9 | 0.3 | 2.2 | 0.8 |
# b. Linearity/assay reportable range:
The linearity studies were performed according to the CLSI EP06-A guideline. A minimum of eleven equally spaced serum or urine samples covering the measurement range were prepared by mixing high and low sample concentrations. Four replicates were measured for each sample.
| Analyte | Sample concentrations tested |
| --- | --- |
| Na+, serum (mmol/L) | 259, 240, 222, 209, 198, 181, 166, 153, 139, 113, 104, 74, 27 |
| K+, serum (mmol/L) | 14.3, 12.7, 11.3, 9.6, 8.1, 6.6, 5.0, 3.5, 2.2, 1.1, 0.8, 0.5 |
| Cl-, serum (mmol/L) | 172, 164, 151, 137, 126, 113, 100, 87, 75, 62, 51, 40, 22 |
| Na+, urine (mmol/L) | 474, 439, 381, 320, 259, 201, 138, 78, 36, 27, 22, 12, 5, 1 |
| K+, urine (mmol/L) | 366.0, 334.5, 284.3, 236.0, 186.1, 135.8, 86.2, 29.3, 1.7, 0.6, 0.1 |
| Cl-, urine (mmol/L) | 346, 316, 270, 225, 173, 125, 76, 31, 13, 8, 5 |
{5}
The linear regression results are summarized in the table below.
| Analyte | Slope | Intercept | r | Range tested (mmol/L) | Claimed measuring range (mmol/L) |
| --- | --- | --- | --- | --- | --- |
| Na+, serum | 1.0068 | -0.09 | 1.00 | 27 - 259 | 100 - 200 |
| K+, serum | 1.0033 | -0.01 | 1.00 | 0.5 - 14.3 | 1.0 - 10.0 |
| Cl-, serum | 1.0123 | -0.19 | 1.00 | 22 - 172 | 50 - 150 |
| Na+, urine | 0.9794 | -0.15 | 1.00 | 1 - 474 | 20 - 400 |
| K+, urine | 0.9934 | -0.04 | 1.00 | 0.1 - 366 | 1.0 - 300.0 |
| Cl-, urine | 0.9701 | -0.20 | 0.9994 | 5 - 346 | 20 - 300 |
The linearity studies support the claimed measuring ranges for each sample type, as shown in the table above.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability.
The Alinity c ICT Sample Diluent and calibrators have the same bulk material as the diluent and calibrators cleared for use with the predicate device, ARCHITECT ICT (Na+, K+, Cl-) Sample Diluent. The reagent container for Alinity c ICT Sample Diluent has changed, and performance has been established on the Alinity c System as the candidate test system in this submission. Assay traceability is the same as established under clearance in k980367.
Stability.
The protocols for stability and acceptance criteria were reviewed and found to be adequate. The Alinity c ICT Sample Diluent is stable for 14 months when stored at 15 to 30 °C, and onboard the instrument for 30 days. Real time reagent stability studies are on-going and scheduled to continue for a maximum of 25 months.
d. Detection limit:
The upper and lower limits of the measuring ranges for sodium, potassium, and chloride are supported by linearity studies. Refer to M.1.b. linearity section above.
e. Analytical specificity:
Interference studies were performed according to CLSI document EP07-A2 to determine the effects of potential interferences on the sodium, potassium, and chloride in serum and urine. Various concentrations of interferents were spiked into low and high levels of each analyte in serum or urine. Each sample was tested with a minimum of 12 replicates. The sponsor states that interference was considered non-significant if the difference in measured concentration between the test and control samples is within ±2% for serum sodium, ±10% for urine sodium, ±10% for serum and urine potassium, and ±10% for serum and urine chloride.
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The highest concentration of each interferent that did not show interference for the serum sodium, potassium, and chloride assays is shown in the table below.
| Analyte | Interferent | Highest concentration tested that did not show significant interference |
| --- | --- | --- |
| Serum Na+ | Unconjugated Bilirubin | ≤ 60 mg/dL |
| | Conjugated Bilirubin | ≤ 30 mg/dL |
| | Hemoglobin | ≤ 500 mg/dL |
| | Triglycerides (Intralipid) | ≤ 2000 mg/dL |
| | Ascorbic Acid | ≤ 6 mg/dL |
| | Acetaminophen | ≤ 20 mg/dL |
| | Ibuprofen | ≤ 50 mg/dL |
| | Acetylcysteine | ≤ 167 mg/dL |
| | Acetylsalicylic Acid | ≤ 66 mg/dL |
| | Benzalkonium Chloride | ≤ 1 mg/dL |
| Serum K+ | Unconjugated Bilirubin | ≤ 60 mg/dL |
| | Conjugated Bilirubin | ≤ 60 mg/dL |
| | Hemoglobin | ≤ 100 mg/dL |
| | Triglycerides (Intralipid) | ≤ 2000 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 |
| | Benzalkonium Chloride | ≤ 5 mg/dL |
| Serum Cl- | Unconjugated Bilirubin | ≤ 60 mg/dL |
| | Conjugated Bilirubin | ≤ 20 mg/dL |
| | Hemoglobin | ≤ 1000 mg/dL |
| | Triglycerides (Intralipid) | ≤ 2000 mg/dL |
| | Ascorbic Acid | ≤ 6 mg/dL |
| | Acetaminophen | ≤ 20 mg/dL |
| | Ibuprofen | ≤ 50 mg/dL |
| | Acetylcysteine | ≤ 16.7 mg/dL |
| | Acetylsalicylic Acid | ≤ 66 mg/dL |
| | Sodium Salicylate | ≤ 70 mg/dL |
| | Benzalkonium Chloride | ≤ 10 mg/dL |
| | Lithium Bromide | ≤ 20 mg/dL |
| | Lithium Iodide | ≤ 25.4 mg/dL |
| | Sodium Azide | ≤ 325 mg/dL |
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The highest concentration of each interferent that did not show interference for the urine sodium, potassium, and chloride assays is shown in the table below.
| Analyte | Interferent | Highest concentration tested that did not show significant interference |
| --- | --- | --- |
| Urine Na+ | Protein | ≤ 50 mg/dL |
| | Glucose | ≤ 1000 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 | ≤ 5.0 mL/dL |
| | Acetaminophen | ≤ 20 mg/dL |
| | Ibuprofen | ≤ 50 mg/dL |
| | Acetylcysteine | ≤ 167 mg/dL |
| | Conjugated Bilirubin | ≤ 60 mg/dL |
| | Hemoglobin | ≤ 1000 mg/dL |
| | pH | 3.52 to 8.58 |
| | Specific Gravity | 1.004 to 1.027 |
| Urine K+ | Protein | ≤ 50 mg/dL |
| | Glucose | ≤ 1000 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 | ≤ 5.0 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 |
| | Conjugated Bilirubin | ≤ 60 mg/dL |
| | Hemoglobin | ≤ 500 mg/dL |
| | pH | 3.58 to 8.03 |
| | Specific Gravity | 1.010 to 1.025 |
{8}
| Analyte | Interferent | Highest concentration tested that did not show significant interference |
| --- | --- | --- |
| Urine Cl- | Protein | ≤ 50 mg/dL |
| | Glucose | ≤ 1000 mg/dL |
| | Ascorbate | ≤ 200 mg/dL |
| | 8.5 N Acetic Acid | ≤ 6.25 mL/dL |
| | Boric Acid | ≤ 250 mg/dL |
| | 6 N Nitric Acid | ≤ 5.0 mL/dL |
| | Sodium Carbonate | ≤ 1.25 g/dL |
| | Sodium Fluoride | ≤ 400 mg/dL |
| | Sodium Oxalate | ≤ 60 mg/dL |
| | Acetaminophen | ≤ 20 mg/dL |
| | Ibuprofen | ≤ 50 mg/dL |
| | Acetylcysteine | ≤ 16.7 mg/dL |
| | Conjugated Bilirubin | ≤ 60 mg/dL |
| | Hemoglobin | ≤ 1000 mg/dL |
| | pH | 3.52 to 7.97 |
| | Specific Gravity | 1.006 to 1.033 |
The sponsor added the following limitations to their labeling:
- The Alinity c Sodium assay serum application is susceptible to interference effects from conjugated bilirubin at 60 mg/dL, hemoglobin at 1000 mg/dL, sodium salicylate at 35 mg/dL, and benzalkonium chloride at 5 mg/dL.
- The Alinity c Sodium assay urine application demonstrated greater than 10% interference with sodium carbonate at 1.25 g/dL, sodium fluoride at 400 mg/dL, and sodium oxalate at 60 mg/dL at low sodium concentrations, 71 mmol/L.
- The Alinity c Potassium assay serum application is susceptible to interference effects from hemoglobin (hemolysis) at 125 mg/dL, and benzalkonium chloride at 10 mg/dL.
- The Alinity c Potassium assay urine application is susceptible to interference effects from hemoglobin (hemolysis) at 1000 mg/dL.
- The Alinity c Chloride assay serum application is susceptible to interference effects from hemoglobin (hemolysis) at 2000 mg/dL, lithium bromide at 40 mg/dL, and lithium iodide at 50.8 mg/dL.
- The Alinity c Chloride assay urine application demonstrated greater than 10% interference from 6N hydrochloric acid at 2.5 mL/dL.
f. Assay cut-off:
Not applicable.
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# 2. Comparison studies:
# a. Method comparison with predicate device:
A method comparison study was performed using a minimum of 100 human serum specimens with analyte concentrations within the analytical ranges of sodium, potassium, and chloride. A minimum of 100 urine samples for sodium, potassium, and chloride were used for the urine application. Samples were measured using the candidate device, Alinity c ICT Sample Diluent on the Alinity c System, and compared to the ICT Sample Diluent on the ARCHITECT c8000 instrument. Less than $10\%$ of the samples were altered by spiking and diluting human serum samples and urine. The regression analysis using Passing-Bablok regression for the first replicate on the predicate device versus mean values of the predicate is summarized in the table below.
| Analyte | N | Slope | Intercept | r | Test Range (mmol/L) | Claimed Measuring Range (mmol/L) |
| --- | --- | --- | --- | --- | --- | --- |
| Na+, serum | 141 | 1.00 | -0.50 | 1.000 | 101 - 197 | 100 - 200 |
| K+, serum | 122 | 1.00 | 0.00 | 1.000 | 1.3 - 9.4 | 1.0 - 10.0 |
| Cl-, serum | 120 | 1.00 | 0.00 | 1.000 | 52 - 148 | 50 - 150 |
| Na+, urine | 101 | 0.99 | 0.88 | 1.000 | 22 - 386 | 20 - 400 |
| K+, urine | 107 | 1.05 | -1.23 | 1.000 | 4.3 - 266.1 | 1.0 - 300.0 |
| Cl-, urine | 112 | 1.00 | -0.30 | 1.000 | 25 - 299 | 20 - 300 |
# b. Matrix comparison:
A matrix comparison study was performed to demonstrate the equivalence between serum and plasma samples when measuring sodium, potassium, and chloride on the Alinity c Analyzer. Blood was collected from a minimum of 40 donors in the control tube type (serum) and in the following evaluation tube types: serum separator, lithium heparin, sodium heparin, and lithium heparin plasma separator. Singlicate measurements of the evaluation tube were compared to the mean of the reference tube. The following regression equations were obtained from the matrix comparison study for sodium, potassium, and chloride analytes:
| Analyte | Matrix | N | Test range (mmol/L) | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- | --- |
| Na+ | Serum vs LiHep | 50 | 110 - 184 | 1.00 | -0.50 | 1.00 |
| K+ | Serum vs LiHep | 47 | 1.0 - 9.0 | 0.99 | -0.02 | 0.99 |
| Cl- | Serum vs LiHep | 48 | 58 - 147 | 1.01 | -0.39 | 1.00 |
| Na+ | Serum vs NaHep | 50 | 110 - 184 | 1.00 | 0.50 | 1.00 |
| K+ | Serum vs NaHep | 47 | 1.0 - 9.0 | 0.99 | 0.02 | 0.99 |
{10}
| Analyte | Matrix | N | Test range (mmol/L) | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- | --- |
| K+ | Serum vs NaHep | 47 | 1.0 - 9.0 | 0.97 | -0.09 | 0.99 |
| Cl- | Serum vs NaHep | 48 | 58 - 147 | 1.02 | -1.98 | 1.00 |
| Na+ | Serum vs LiHep with SS | 50 | 110 - 184 | 1.00 | -0.50 | 1.00 |
| K+ | Serum vs LiHep with SS | 47 | 1.0 - 9.0 | 0.96 | -0.02 | 0.99 |
| Cl- | Serum vs LiHep with SS | 48 | 58 - 147 | 1.02 | -1.54 | 1.00 |
| Na+ | Serum vs SS | 50 | 110 - 184 | 1.00 | -1.54 | 1.01 |
| K+ | Serum vs SS | 47 | 1.0 - 9.0 | 1.00 | 0.10 | 1.00 |
| Cl- | Serum vs SS | 48 | 58 - 147 | 1.00 | 0.25 | 1.00 |
*LiHep = Lithium heparin; NaHep = Sodium heparin; SS = Serum separator
The results of the matrix comparison study support that serum, lithium heparin, and sodium heparin plasma specimens are suitable for use with the Alinity c ICT Sample Diluent.
# 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.
{11}
# 5. Expected values/Reference range:
The expected values for adults are values are provided in the product insert based on the literature.
| Serum/Plasma (mmol/L) | |
| --- | --- |
| Sodium | 136 - 145 |
| Potassium | |
| Adult, Serum | 3.5 - 5.1 |
| Plasma, Male | 3.5 - 4.5 |
| Plasma, Female | 3.4 - 4.4 |
| Chloride | 98 - 107 |
| Urine (mmol/day) | |
| Sodium | |
| Male | 20 - 220 |
| Female | 27 - 287 |
| Potassium | 25 - 125 |
| Chloride | 110 - 250 |
1. Burtis CA, Ashwood ER, Bruns DE, editors. Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 5th ed. St. Louis, MO: Elsevier Saunders; 2012: 2139, 2164, 2168.
# N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Parts 801 and 809, as applicable.
# O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.