K080468 · Ams S.R.L. Analyzer Medical System · CFR · Jul 25, 2008 · Clinical Chemistry
Device Facts
Record ID
K080468
Device Name
LIASYS WITH MODELS LIASYS
Applicant
Ams S.R.L. Analyzer Medical System
Product Code
CFR · Clinical Chemistry
Decision Date
Jul 25, 2008
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The "Liasys" is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The instrument provides the In Vitro diagnostic quantitative measurements for glucose, urea nitrogen, creatinine and AST in serum, and for sodium, potassium and chloride in serum. Other various chemistry assays may be adaptable to this instrument. 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. Urea Nitrogen measurements are used in the diagnosis and treatment of certain renal and metabolic diseases. Measurements of Creatinine are used in the diagnosis and treatment of muscle diseases and endocrine disorders. Aspartate amino transferase (AST) quantitative measurements are used in the diagnosis and treatment of certain types of liver and heart disease. Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus and other diseases involving electrolyte imbalance. Measurements of Potassium are used to monitor electrolyte balance in the diagnosis and treatment of disease 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
Liasys is a random-access, computer-controlled, countertop clinical chemistry analyzer. It processes serum samples to perform quantitative diagnostic measurements for glucose, urea nitrogen, creatinine, AST, sodium, potassium, and chloride. The device is intended for professional use in clinical laboratory settings. It automates the analysis of clinical chemistry assays, providing quantitative results that assist healthcare providers in diagnosing and monitoring various metabolic, renal, and electrolyte-related conditions. The system is designed to be adaptable for additional chemistry assays.
Clinical Evidence
No clinical studies performed. Evidence consists of bench testing, including precision/reproducibility (within-run and total), linearity, limit of detection (LOD), limit of quantitation (LOQ), and analytical specificity (interference studies). Method comparison studies were conducted against similar methodologies using 64-85 serum samples per analyte, showing high correlation (r > 0.99) for all analytes.
Technological Characteristics
Countertop, random-access clinical chemistry analyzer. Computer-controlled system for automated in vitro diagnostic testing. Performs photometric and/or ion-selective electrode measurements for serum analytes. Operates as a standalone laboratory instrument.
Indications for Use
Indicated for quantitative in vitro diagnostic measurement of glucose, urea nitrogen, creatinine, AST, sodium, potassium, and chloride in serum. Used for diagnosis and monitoring of metabolic, renal, liver, heart, and electrolyte disorders in patients.
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.
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k080468
B. Purpose for Submission:
New submission for LIASYS test system.
C. Measurand:
Glucose, Urea Nitrogen, Creatinine, Aspartate Amino Transferase, Potassium,
Chloride and Sodium
D. Type of Test:
Quantitative photometric and ion selective electrodes
E. Applicant:
AMS S.R.L. Analyzer Medical System
F. Proprietary and Established Names:
LIASYS
G. Regulatory Information:
1. Regulation section:
21CFR Sec.-862.1345 - Glucose Test System.
21CFR Sec.-862.1770 - Urea Nitrogen Test System.
21CFR Sec.-862.1225 - Creatinine Test System.
21CFR Sec.-862.1100 - Aspartate Amino Transferase (AST/SGOT) Test System.
21CFR Sec.-862.1600 - Potassium Test System.
21CFR Sec.-862.1170 - Chloride Test System.
21CFR Sec.-862.1665 - Sodium Test System.
21CFR Sec.-862.2160 - Discrete Photometric Chemistry Analyzer For Clinical Use.
2. Classification:
Class II
3. Product code:
CFR - Hexokinase, Glucose
CDN - Urease, Photometric, Urea Nitrogen
CGX - Alkaline Picrate, Colorimetry, Creatinine
CIT - NADH Oxidation/NAD Reduction, AST/SGOT
CEM - Electrode, Ion Specific, Potassium
CGZ - Electrode, Ion-Specific, Chloride
JGS - Electrode, Ion Specific, Sodium
JJE - Analyzer, Chemistry (Photometric, Discrete), For Clinical Use
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4. Panel:
Chemistry (75)
H. Intended Use:
1. Intended use(s):
See Indication(s) for use below
2. Indication(s) for use:
The "Liasys" is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The instrument provides the In Vitro diagnostic quantitative measurements for glucose, urea nitrogen, creatinine and AST in serum, and for sodium, potassium and chloride in serum. Other various chemistry assays may be adaptable to this instrument.
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. Urea Nitrogen measurements are used in the diagnosis and treatment of certain renal and metabolic diseases. Measurements of Creatinine are used in the diagnosis and treatment of muscle diseases and endocrine disorders. Aspartate amino transferase (AST) quantitative measurements are used in the diagnosis and treatment of certain types of liver and heart disease. Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus and other diseases involving electrolyte imbalance. Measurements of Potassium are used to monitor electrolyte balance in the diagnosis and treatment of disease 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
4. Special instrument requirements:
LIASYS Analyzer
I. Device Description:
The LIASYS is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The system can perform 200 tests per hour and has a machine cycle of 18 seconds. Its execution time ranges from a minimum of 48 seconds to a maximum of 756, depending on the analysis method chosen. The "Lyasis" is an open system that allows configuration with different reagents selected by the customer in order to fit their needs. The daily routine analysis can be carried out according to patient sample arrival in a sequential and continuous manner. The work list is organized using a loading rack holding up to 16 patient samples plus a STAT rack for 14 patient samples.
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The applicant recommends International Laboratory electrodes, which were used to establish performance for Sodium, Potassium and Chloride.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Roche Cobas Mira, Medica Easystat ISE, Roche Urea Nitrogen, Roche Glucose, Roche Creatinine, Roche AST.
2. Predicate 510(k) number(s):
k920402, k063376, k954000, k953847, k941837 and k896238, respectively
3. Comparison with predicate:
| Description | LIASYS | Roche Cobas Mira |
| --- | --- | --- |
| System Principle | Automatic, random access, computer controlled, counter top, non-stop loading clinical chemistry and immunoturbidimetric analysis instrument | Random Access, sample selective analysis |
| Throughput | 200 tests per hour | 120 test per hour |
| Configuration | Analytical Unit & CPU | Analytical Unit, Control Unit |
| Optical Measurement | | |
| Measurement Modes | Absorbance | Absorbance |
| Detector | Photometer: double ray | Photodiode |
| Optical System | Wavelength 340 to 620 nm | Wavelength 340 to 600 nm |
| Filters | Interferential filters | Five filters: 340, 405, 500, 600 nm |
| Linear Absorbance Range | 0.001/2.500 Abs | At 340 nm 0-2.4A |
| Light Source | 6V/10W halogen bulb | Xenon Flash Tube |
| Data Processing | | |
| Calibration Curve | End point, Fixed Time, Kinetic, Bi-chromatic, Differential | Endpoint, logit/log4, logit/log5, exponential 5, polynomial 5, linear interpolation, linear regression and linear search for enzymes |
| Cuvettes | Reaction Cuvettes | Disposable Cuvette Segments |
| Number of cuvettes | 60 Individually replaceable cuvettes | 12 cuvettes per segment, Six segment, total 72 cuvettes |
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| Cuvette Washing | Consists of 5 probes, which empty, wash and dry the reaction cuvette | No cuvette washing |
| --- | --- | --- |
| Path Length | 10 mm | 6 mm |
| Cuvette volume | 300-670 uL | 150-600 uL |
| Diluent Volume | 3-99 uL | 2-95 uL |
| Reagent volume | 3-500 uL | 100-600 uL |
| Sample/Reagent Delivery | | |
| Pipetting System | Single probe equipped with: Volume level sensor, pre-heating (37°C) and automatic probe washing | XYZ pipetting system |
| Sample Dispense | 2-99 uL | 2-95uL |
| ISE | | |
| --- | --- | --- |
| Description | Liasys | Medica Module |
| System Principle | Ion selective electrode technology | Ion selective electrode technology |
| Throughput | Serum 120 tests/hr
Urine 60 tests/hr | Serum 120 tests/hr
Urine 60 tests/hr |
| Fluids Measured | Serum | Serum, Urine, Plasma or whole blood |
| Clinical measurements | Chloride, Potassium & Sodium | Chloride, Potassium & Sodium |
| Electrode Maintenance | Maintenance free electrodes
6 months or 10000 samples | Maintenance free electrodes
6 months or 10000 samples |
| ISE Detector | | |
| Modes of Analysis | | |
| Reagents/Calibrators | Calibrator A, Calibrator B, Cleaning Solution, Urine diluent and reference solution | Calibrator A, Calibrator B, Cleaning Solution, Urine diluent and reference solution |
| Cleaning | After 8 hours or 50 samples per day | After 8 hours or 50 samples per day |
| Calibration Frequency | Every 8 hours | Every 8 hours |
| Sample Volume | Serum, 70 uL | Serum, plasma & whole blood: 70 uL
Urine: 160 uL |
| Pipetting System | Single probe pipetting | Single probe pipetting |
| Fluid Verification | | |
| Sample Dispensing | 70 uL | 70 uL |
| Reagent Dispense | 181-499 | 100-600uL |
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K. Standard/Guidance Document Referenced (if applicable):
CLSI - Protocols for Determination of Limits of Detection and Limits of Quantitation - EP17-A
L. Test Principle:
Glucose
The AMS Diagnostics glucose hexokinase method is based on a modification of Slein, using hexokinase and glucose-6-phosphate-dehydrogenase to catalyze the reaction. Glucose is phosphorylated with adenosine triphosphate (ATP) in the reaction catalyzed by hexokinase (HK). The product, glucose-6-phosphate (G6P) is then oxidized with the concomitant reduction of nicotinamide adenine dinucleotide (NAD) to NADH in the reaction catalyzed by glucose-6-phosphate-dehydrogenase (G6PDH). The formation of NADH causes and increase in absorbance at 340 nm. The increase is directly proportional to the amount of glucose in the sample.
Blood Urea Nitrogen (BUN)
Urea has been determined by the direct method where urea condenses with diacetyl to form a chromagen and an indirect method where ammonia is measured as a product of Urease action on urea. The liberated ammonia has been measured using Nessler's reagent and by the Berthelot reaction. Talke and Schubert introduced a totally enzymatic procedure in 1965 utilizing Urease and Glutamate Dehydrogenase. The AMS procedure is based on a modification of their method. Urea is hydrolyzed by in the presence of water and urease to produce ammonia and carbon dioxide. The liberated ammonia reacts with a-Ketoglutarate in the presence of NADH to yield glutamate. An equimolar quantity of NADH undergoes oxidation during the reaction resulting in a decrease in absorbance that is directly proportional to the urea nitrogen concentration in the sample.
Creatinine
Jaffe described a method in 1886 for the determination of creatinine involving a protein free filtrate and a reaction with picric acid in alkaline solution. The AMS method is based on a modification of this procedure, incorporating a surfactant and other ingredients to minimize protein and carbohydrate interferences. Creatinine reacts with picric acid in alkaline conditions to form a color complex which absorbs at 510 nm. The rate of formation of color is proportional to the creatinine in the sample.
Aspartate Aminotransferase (AST/SGOT)
In 1955 Karmen developed a kinetic assay procedure for AST which was based upon the use of malate dehydrogenase and NADH. Henry in 1960 and Amador and Wacker in 1962 later presented optimized procedures. These modifications increased accuracy
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and lowered the effect of interfering substances. The IFCC5 published a recommended method that Included P-5-P in 1986. The AMS method is based on IFCC recommendations but does not contain P-5-P. Aspartate aminotransferase (AST) catalyzes the transfer of the amino group from Laspartate to 2-oxoglutarate to yield oxalacetate and L-glutamate. The oxaloacetate undergoes reduction with simultaneous oxidation of NADH to NAD in the malate dehydrogenase (MDH) catalyzed indicator reaction. The resulting rate of decrease in absorbance at 340nm is directly proportional to the AST activity. Lactate dehydrogenase (LDH) is added to prevent interference from endogenous pyruvate which is normally present in serum.
## Sodium, Potassium, and Chloride
The AMS measurement is based on ion selective electrode technology. The flow-through sodium electrode uses selective membrane tubing, specially formulated to be sensitive to sodium ions. The potassium and chloride electrodes employ similar designs with appropriate selective membrane materials. The potential of each electrode is measured relative to a fixed, stable voltage established by the double-junction silver/silver chloride reference electrode. An ion selective electrode develops a voltage that varies with the concentration of the ion to which it responds. The relationship between the voltage developed and the concentration of the sensed ion is logarithmic, as expressed by the Nernst equation.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Three levels of samples were evaluated; the value of one level of which is in the normal range, the other two levels above or below the normal range. Each run included normal, and abnormal control material to evaluate validity of the assay.
Within Run Precision was performed by running each precision sample twenty times in a single run. Total Run Precision was performed with 2 runs consisting of 2 measurements per run over a 10 day period.
Glucose
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 63.4 | 99.2 | 305.6 |
| S.D. (mg/dL) | 0.8 | 0.7 | 1.6 |
| C.V. (%) | 1.3 | 0.7 | 0.5 |
| Total | | | |
| Mean (mg/dL) | 63.5 | 100.9 | 305.0 |
| S.D. (mg/dL) | 1.0 | 2.3 | 3.4 |
| C.V. (%) | 1.5 | 2.2 | 1.1 |
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BUN
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 12.8 | 47.8 | 73.9 |
| S.D. (mg/dL) | 0.2 | 0.6 | 0.9 |
| C.V. (%) | 1.3 | 1.3 | 1.2 |
| Total | | | |
| Mean (mg/dL) | 12.0 | 48.0 | 73.3 |
| S.D. (mg/dL) | 0.2 | 0.9 | 1.3 |
| C.V. (%) | 1.3 | 1.9 | 1.7 |
Creatinine
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 1.33 | 7.21 | 11.41 |
| S.D.(mg/dL) | 0.05 | 0.19 | 0.22 |
| C.V. (%) | 3.6 | 2.6 | 1.9 |
| Total | | | |
| Mean (mg/dL) | 1.45 | 7.51 | 11.39 |
| S.D.(mg/dL) | 0.06 | 0.22 | 0.31 |
| C.V. (%) | 3.8 | 3.0 | 2.8 |
AST
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (U/L) | 29.5 | 126.7 | 199.0 |
| S.D. (U/L) | 0.7 | 0.9 | 2.1 |
| C.V. (%) | 2.2 | 0.7 | 1.0 |
| Total | | | |
| Mean (U/L) | 29.6 | 128.1 | 201.5 |
| S.D. (U/L) | 0.7 | 1.2 | 2.4 |
| C.V. (%) | 2.2 | 0.9 | 1.2 |
Sodium
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 109.2 | 134.4 | 149.9 |
| S.D.(mmol/L) | 0.7 | 0.3 | 0.8 |
| C.V. (%) | 0.7 | 0.2 | 0.5 |
| Total | | | |
| Mean(mmol/L) | 109.0 | 137.5 | 149.2 |
| S.D.(mmol/L) | 1.2 | 1.87 | 1.2 |
| C.V. (%) | 1.1 | 1.4 | 0.8 |
Potassium
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 2.62 | 4.10 | 6.20 |
| S.D.(mmol/L) | 0.04 | 0.04 | 0.05 |
| C.V. (%) | 1.5 | 1.1 | 0.9 |
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# Total
| Mean (mmol/L) | 2.55 | 3.93 | 6.11 |
| --- | --- | --- | --- |
| S.D. (mmol/L) | 0.07 | 0.08 | 0.09 |
| C.V. (%) | 2.6 | 2.0 | 1.5 |
# Chloride
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 80.8 | 99.0 | 111.6 |
| S.D.(mmol/L) | 0.6 | 0.3 | 0.7 |
| C.V. (%) | 0.7 | 0.3 | 0.6 |
| Total | | | |
| Mean (mmol/L) | 80.7 | 98.7 | 111.8 |
| S.D.(mmol/L) | 0.8 | 1.75 | 0.8 |
| C.V. (%) | 1.0 | 1.8 | 0.7 |
# b. Linearity/assay reportable range:
The claimed measuring range for Glucose is 15 to $500\mathrm{mg / dL}$ , BUN is 2.0 - $115\mathrm{mg / dL}$ for Creatinine is $0.3 - 20.0\mathrm{mg / dL}$ , and for ALT is $4 - 600\mathrm{U / L}$ are supported by the below linearity data and limit of quantitation. The claimed measuring range for sodium is $27 - 200\mathrm{mmol / L}$ , potassium is $0.4 - 20.0\mathrm{mmol / L}$ , Chloride is $27 - 200\mathrm{mmol / L}$ are supported on the below linearity data.
| Analyte | Slope | Intercept | R2 | Range tested |
| --- | --- | --- | --- | --- |
| Glucose | 0.9968 | 0.4 | 0.9999 | 0.0 to 528 mg/dL |
| BUN | 0.9650 | 0.0 | 0.9967 | 0.0 to 133 mg/dL |
| Creatinine | 0.9983 | 0.27 | 0.9982 | 0.2 to 24.2 mg/dL |
| ALT | 1.0120 | 1.89 | 0.9995 | 0.2 to 713.5 U/L |
| Sodium | 1.006 | -0.7 | 0.9998 | 27 to 200 mmol/L |
| Potassium | 1.003 | 0.05 | 0.9981 | 0.4 to 19.9 mmol/L |
| Chloride | 0.99536 | -0.97 | 0.9991 | 27 to 200 mmol/L |
# c. Traceability, Stability, Expected values (controls, calibrators, or methods):
No information on traceability was provided. The labeling recommends the use of a generic calibrator for all analytes except AST which is based upon the millimolar absorptivity of NADH.
# d. Detection limit:
Limit of detection (LOD) and Limit of Quantitation (LOQ) were evaluated following NCCLS EP17-A guidelines for AST, BUN, Creatinine and Glucose. A known concentration of analyte and a blank sample were tested over a period of 3 days, 30 replicates each day. Statistical Analysis was performed based on NCCLS EP17-A recommendations.
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Glucose LOD: 1.9 mg/dL.
BUN LOD: 0.4 mg/dL.
Creatinine LOD: 0.1 mg/dL.
AST LOD: 3 U/L.
Glucose LOQ: 14.27 mg/dL.
BUN LOQ: 1.98 mg/dL.
Creatinine LOQ: 0.3 mg/dL.
AST LOQ: 3.59 U/L.
e. Analytical specificity:
Studies were performed to support the interference claims presented in the labeling as follows:
Glucose
Hemoglobin:
Use fresh un-hemolyzed serum removed from the clot as soon as possible.
Bilirubin: No significant interference (±10%) from bilirubin up to 23.2 mg/dL.
Lipemia: No significant interference (±10%) from lipemia up to 248 mg/dL measured as triglycerides.
A number of drugs and substances may affect the accuracy of this test. See Young, D.S., et al, Clin. Chem., 21:1D, (1975).
BUN
Hemoglobin:
No significant interference (±10%) from hemoglobin up to 1000 mg/dL.
Bilirubin:
No significant interference (±10%) from bilirubin up to 23.2 mg/dL.
Lipemia:
No significant interference from lipemia (±10%) up to 877 mg/dL measured as triglycerides.
For a comprehensive review of drug interference see Young, et al. See Young, D.S., et al, Clin. Chem., 21:1D, (1975).
Creatinine
Hemoglobin:
No significant interference (±10%) from hemoglobin up to 1000 mg/dL.
Bilirubin:
No significant interference (±10%) from bilirubin up to 23.2 mg/dL.
Lipemia:
No significant interference (±10%) from lipemia up to 560 mg/dL measured as triglycerides.
A number of drugs and substances may affect the accuracy of creatinine. See Young, D.S., et al, Clin. Chem., 21:1D, (1975).
AST
Hemoglobin:
Use non-hemolyzed serum, as red blood cells contain AST. No significant
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interference (± 10%) from hemoglobin up to 300 mg/dL
Bilirubin:
No significant interference (± 10%) from bilirubin up to 23.2 mg/dL.
Lipemia:
No significant interference (± 10%) from lipemia up to 167 mg/dL measured as triglycerides.
See Young, et al. for other interfering substances
ISE
Un-hemolyzed serum is recommended.
No significant interference (± 10%) or +/- 3 units up to:
| | Hemolysis | Lipemia | Bilirubin |
| --- | --- | --- | --- |
| Na (Sodium) | 1000 mg/dL | 982.5 mg/dL | 30.6 mg/dL |
| K (Potassium) | 800 mg/dL | 982.5 mg/dL | 30.6 mg/dL |
| CL (Chloride) | 300 mg/dL | 982.5 mg/dL | 30.6 mg/dL |
See Young, et al. for other interfering substances.
f. Assay cut-off:
Not Applicable
2. Comparison studies:
a. Method comparison with predicate device:
Studies using serum were performed between this procedure and a similar methodology yielded the following results:
Glucose
Number of samples: 73
Range of samples: 18-500 (mg/dL)
Correlation Coefficient: 0.9974
Slope: 1.0999
Intercept: 3.3 (mg/dL)
BUN
Number of samples: 85
Range of samples: 3 – 112 (mg/dL)
Correlation Coefficient: 0.9974
Slope: 1.004
Intercept: -0.57 (mg/dL)
Creatinine
Number of samples: 76
Range of samples: 0.30 – 20.3 (mg/dL)
Correlation Coefficient: 0.9934
Slope: 1.042
Intercept: -0.14 (mg/dL)
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AST
Number of samples: 84
Range of samples: 6 - 596 (U/L)
Correlation Coefficient: 0.9995
Slope: 0.9658
Intercept: -0.7 (U/L)
Sodium
Number of samples: 64
Range of samples: 98 - 150 (mmol/L)
Correlation Coefficient: 0.9932
Slope: 0.9330
Intercept: 2.2 (mmol/L)
Potassium
Number of samples: 64
Range of samples: 1.6 – 10.30 (mmol/L)
Correlation Coefficient: 0.9986
Slope: 1.007
Intercept: -0.17 (mmol/L)
Chloride
Number of samples: 64
Range of samples: 54 - 190 (mmol/L)
Correlation Coefficient: 0.9998
Slope: 0.9692
Intercept: -2.3 (mmol/L)
b. Matrix comparison:
Not Applicable
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:
The reference ranges are provided in the labeling based upon published values as follows:
Glucose: 70-105 mg/dL
Tietz, N.W., Fundamentals of Clinical Chemistry, 2nd ed., W.B. Saunders Co., Philadelphia, p.243, (1976).
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BUN: 7-18 mg/dL
Tietz, N.W., Fundamentals of Clinical Chemistry, 2nd ed., W.B. Saunders Co., Philadelphia,(1976).
Creatinine: 0.60 – 1.40 mg/dl
Henry RJ (Ed), Clin. Chem., Principles and Technics (2nd Ed), Harper and Row, 1974;548-551.
AST: 5-34 U/L (37°C)
Tietz, N.W., Fundamentals of Clinical Chemistry, 2nd ed., W.B. Saunders Co., Philadelphia,(1976).
ISE
Na: 136 – 145 mmol/L
K: 3.5 – 5.1 mmol/L
CL: 98 – 107 mmol/L
Tietz, textbook of Clinical Chemistry 2nd ed, Philadelphia, W.B. Saunders, (1994) pg: 1357, 1360 and 1370.
N. Instrument Name:
LIASYS Analyzer
O. System Descriptions:
1. Modes of Operation:
Random access analyzer
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:
Bar-code option for positive sample identification
4. Specimen Sampling and Handling:
5 Sample racks hold up to 64
5. Calibration:
End point, Fixed Time, Kinetic, Bi-chromatic, Differential
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6. Quality Control:
The analyzer has a built in quality control program. The labeling for each analyte recommends the use of two external quality control materials to be assayed according to government guidelines.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
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.
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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.