K182389 · Sysmex America, Inc. · GKZ · Jan 25, 2019 · Hematology
Device Facts
Record ID
K182389
Device Name
Sysmex XN-L Automated Hematology Analyzer
Applicant
Sysmex America, Inc.
Product Code
GKZ · Hematology
Decision Date
Jan 25, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 864.5220
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K182389 · Jan 25, 2019
Sysmex XN-L Automated Hematology Analyzer
Sysmex America, Inc.
Clinical samples from pediatric patients (less than 2 years of age)
Real-world data was collected to support the expansion of the intended use population to include pediatric patients under the age of 2 years.
Pediatric population; Age limitation removal; Clinical samples
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective/Routine clinical data collection
Pediatric patients less than 2 years of age
Not applicable for this study
Performance characteristics for pediatric population
Indications for Use
The Sysmex XN-L analyzer is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XN-L analyzer classifies and enumerates the following parameters in venous and capillary whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/#, and TC-BF# parameters in cerebrospinal, peritoneal, pleural, and synovial fluids. Whole blood should be collected in K2 or K3EDTA anticoagulant and peritoneal, pleural, and synovial fluids in K2EDTA anticoagulant to prevent clotting of fluid. The use of anticoagulants with CSF specimens is neither required nor recommended.
Device Story
Quantitative multi-parameter automated hematology analyzer; processes venous/capillary whole blood and body fluids (CSF, peritoneal, pleural, synovial). Uses electrical impedance, laser light scattering, and fluorescent labeling; performs DC sheath flow detection, flow cytometry (semiconductor laser), and SLS-hemoglobin method. Main unit aspirates, dilutes, mixes, and analyzes samples; pneumatic unit provides pressure/vacuum. External touchscreen monitor used for operation and data processing. Used in clinical laboratories by trained personnel. Automatically classifies cells from aspiration to result output. Provides clinicians with hematological parameters to assist in patient screening and clinical decision-making.
Clinical Evidence
Bench testing only. Performance evaluated via accuracy, precision (repeatability/reproducibility), linearity, carryover, stability, and limits of blank/detection/quantitation for both whole blood and body fluid modes. Results met predetermined acceptance criteria, demonstrating equivalence to predicate XN-Series analyzers. Real-world data included to support use in pediatric patients under 2 years.
Indicated for in vitro diagnostic screening of patient populations, including pediatric subjects from birth to <2 years of age, in clinical laboratories. Analyzes venous and capillary whole blood and specific body fluids (CSF, peritoneal, pleural, synovial).
Regulatory Classification
Identification
An automated differential cell counter is a device used to identify one or more of the formed elements of the blood. The device may also have the capability to flag, count, or classify immature or abnormal hematopoietic cells of the blood, bone marrow, or other body fluids. These devices may combine an electronic particle counting method, optical method, or a flow cytometric method utilizing monoclonal CD (cluster designation) markers. The device includes accessory CD markers.
Special Controls
*Classification.* Class II (special controls). The special control for this device is the FDA document entitled “Class II Special Controls Guidance Document: Premarket Notifications for Automated Differential Cell Counters for Immature or Abnormal Blood Cells; Final Guidance for Industry and FDA.”
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION MEMORANDUM
A. 510(k) Number:
K182389
B. Purpose for Submission:
Expand Intended Use to include pediatric subjects under the age of 2 years old.
C. Manufacturer and Instrument Name:
Sysmex America Inc., Sysmex® XN-L Automated Hematology Analyzer
D. Type of Test or Tests Performed:
The Sysmex XN-L Automated Hematology Analyzer (hereafter, the XN-L analyzer) classifies and enumerates the following parameters in whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/#, and TC-BF# parameters in cerebrospinal (CSF), peritoneal, pleural and synovial fluids.
E. System Descriptions:
1. Device Description:
The XN-L analyzer is a quantitative multi-parameter automated differential cell counter that classifies and enumerates whole blood and body fluid parameters by means of electrical impedance, laser light scattering, and fluorescent labeling. Cell counts and parameters are performed on whole blood samples collected in K₂EDTA or K₃EDTA anticoagulant, body fluids (peritoneal, pleural and synovial) collected in K₂EDTA anticoagulant and CSF collected without anticoagulant. The instrument consists of two principal units: (1) the Main Unit which will aspirate, dilute, mix, and analyze whole blood and body fluid samples and (2) the Pneumatic Unit which supplies pressure and vacuum to the analyzer.
The XN-L analyzer has an external monitor with touch screen capability that is used to operate the instrument and process data from the Main Unit. The monitor also allows for operator interfacing with the instrument by use of a panel keyboard.
2. Principles of Operation:
The XN-L analyzer analyzes samples using the following methods: DC Sheath Flow Detection method, Flow Cytometry method using a semiconductor laser, and SLS (cyanide-free sodium lauryl sulfate) hemoglobin method. Particle characterization and identification is based on detection of forward scatter, fluorescence, and adaptive cluster analysis. The XN-L analyzer automatically classifies cells from whole blood and body
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fluids and carries out all processes automatically from aspiration of the sample to result output.
3. **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 ☐ or No ☐ X
4. **Specimen Identification:**
Specimen identification input is manual (by operator) or by barcode reader.
5. **Specimen Sampling and Handling:**
There are two modes of sample introduction: (1) Sampler Mode; (2) Manual Mode. In the Sampler Mode the operator loads the sample tubes into a rack, which is then automatically transported and analyzed by the instrument. This mode automatically mixes, aspirates, and analyzes samples without removing their caps. The Sampler Mode is used for processing of whole blood samples. In the Manual Mode, there are two sample tube holders: (1) Normal sample tube holder; (2) Micro collection tube holder. In this mode the operator loads and mixes the samples tubes individually by hand. The samples in the Manual Mode can be analyzed with the cap on or off. The Manual Mode is used for processing whole blood and body fluid samples.
6. **Calibration:**
The XN CAL calibrator (K160585) is used for calibration of the WBC, RBC, HGB, HCT, PLT and RET parameters. XN CAL is used for the calibration and calibration verification of Sysmex XN series (XN-10, XN-11, XN-20, XN-21, XN-L) analyzers. Calibration is performed as needed (e.g., when QC data is fluctuating) to ensure accuracy of the system.
7. **Quality Control:**
The XN-L CHECK (K160586) is used as quality control (three levels) for Sysmex XN-L analyzers. XN-L CHECK™ is an in-vitro diagnostic product that contains the following: stabilized red blood cell component(s), stabilized white blood cell component(s), and stabilized platelet component(s) in a preservative medium.
XN CHECK (K160590) is used as quality control (three levels) for Sysmex XN series (XN-10, XN-11, XN-20, XN-21, XN-L) analyzers. XN CHECK is an in-vitro diagnostic product that contains the following: stabilized red blood cell component(s), stabilized white blood cell component(s), stabilized platelet component(s), and stabilized nucleated red blood cell component(s) in a preservative medium.
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XN CHECK BF (K160588) is used as quality control (two levels) for Sysmex XN series (XN-10, XN-11, XN-20, XN-21, XN-L) analyzers. Assayed parameters include: WBC-BF, RBC-BF, MN%, PMN%, TC-BF#.
8. Software:
FDA has reviewed applicant’s Hazard Analysis and Software Development processes for this line of product types:
Yes ☐ X ☐ or No ☐
F. Regulatory Information:
1. Regulation section:
21 CFR 864.5220, Automated differential cell counter
2. Classification:
Class II
3. Product code:
GKZ, Counter, Differential Cell
4. Panel:
Hematology (81)
G. Intended Use:
1. Indication(s) for Use:
The Sysmex XN-L analyzer is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XN-L analyzer classifies and enumerates the following parameters in venous and capillary whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/#, and TC-BF# parameters in cerebrospinal, peritoneal, pleural, and synovial fluids. Whole blood should be collected in K2 or K3EDTA anticoagulant and peritoneal, pleural, and synovial fluids in K₂EDTA anticoagulant to prevent clotting of fluid. The use of anticoagulants with CSF specimens is neither required nor recommended.
2. Special Conditions for Use Statement(s):
For prescription use only.
H. Substantial Equivalence Information:
1. Predicate Device Name(s) and 510(k) numbers:
Sysmex XN-Series (XN-10, XN-20) Automated Hematology Analyzer, K112605
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2. Comparison with Predicate Device:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate
Sysmex XN-L analyzer
K182389 | Predicate
Sysmex XN-Series (XN-10)^{a}
K112605 |
| Intended Use | The Sysmex XN-L analyzer is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XN-L analyzer classifies and enumerates the following parameters in venous and capillary whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/#, and TC-BF# parameters in cerebrospinal, peritoneal, pleural, and synovial fluids. Whole blood should be collected in K_{2} or K_{3}EDTA anticoagulant and peritoneal, pleural, and synovial fluids in K_{2}EDTA anticoagulant to prevent clotting of fluid. The use of anticoagulants with CSF specimens is neither required nor recommended. | The XN-Series modules (XN-10, XN-20) are quantitative multi-parameter automated hematology analyzers intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XN-Series modules classify and enumerate the following parameters in whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, NRBC%/#, RET%/#, IPF, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBCBF, RBC-BF, MN%/#, PMN%/# and TC-BF parameters in cerebrospinal fluid (CSF), serous fluids (peritoneal, pleural) and synovial fluids. Whole blood should be collected in K_{2} or K_{3}EDTA anticoagulant and, Serous and Synovial fluids in K_{2}EDTA anticoagulant to prevent clotting of fluid. The use of anticoagulants with CSF specimens is neither required nor recommended. |
| Specimen Type | Whole Blood and Body Fluids (CSF and peritoneal, pleural, synovial fluids) | Same |
| Test Principle | Hydro Dynamic Focusing (DC Detection), flow cytometry method using a semiconductor laser and SLS hemoglobin method. | Same |
| Parameters | Whole Blood Mode: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Candidate
Sysmex XN-L analyzer
K182389 | Predicate
Sysmex XN-Series (XN-10)^{a}
K112605 |
| | EO%/#, BASO%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, IG%/#, RET-He# Body Fluid
Mode: WBC-BF, RBC-BF, MN%/#, PMN%/#,TC-BF# | |
| Reagents | CELLPACK DCL (Diluent)
CELLPACK DFL (Diluent)
Lysercell WDF (Lyse)
Fluorocell WDF (Stain)
Fluorocell RET (Stain)
SULFOLYSER (Lyse) | Same |
| Analysis Modes | Sampler Analysis Mode
(rack autoloader)
Whole Blood Mode
Manual Analysis Mode
Whole Blood Mode;
LWBC Analysis Mode;
Pre-Dilute Analysis Mode;
Body Fluid Mode | Same |
| Sample Aspiration/
Fluidic Pathway | Single Pathway | Same |
| Measuring Channels | RBC/PLT, HGB, RET, WDF | Same |
| Controls/Calibrators/
Linearity Material | Whole Blood
XN CHECK 3 Levels
(K160590);
XN CAL (K160585);
Body Fluid
XN CHECK BF 2 Levels
(K160588)
Whole Blood Linearity
Range Check X III (K960557);
Retic Chex (K000115) | Same |
| Cleaning Detergent | CELLCLEAN AUTO | Same |
| Software/ Hardware | Rule based rerun/reflex | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Candidate
Sysmex XN-L analyzer
K182389 | Predicate
Sysmex XN-Series (XN-10)^{a}
K112605 |
| Parameters | Not Available | PLT (PLT-F), NRBC%/#, IPF |
| Reagents | Not Available | K112605
Lysercell WNR (Lyse)
Fluorocell WNR (Stain)
Fluorocell PLT (Stain) |
| Measuring Channels | Not Available | WNR, PLT-F |
| Controls/Calibrators | Not Available
XN-L CHECK^{b} | XN CAL PF – (K120747)
Not Available |
| Throughput | Whole Blood Mode
60 samples/hour maximum
depending on mode used.
Body Fluid Mode
30 samples/hour maximum | Whole Blood Mode
100 samples/hour maximum
depending on mode used.
Body Fluid Mode
40 samples/hour maximum |
| Sample Aspiration
Volumes | Sampler Mode - 25 μL
Manual (Closed Cap) Mode - 25 μL
Manual (Open Cap) Mode - 25 μL
Dilution Mode - 70 μL
Body Fluid Mode - 70 μL | Sampler Mode - 88 μL
Manual (Closed Cap) Mode - 88 μL
Manual (Open Cap) Mode - 88 μL
Dilution Mode - 70 μL
Body Fluid Mode - 88 μL |
a Intended use for the predicate analyzer was cleared in submission K112605. All information listed for the predicate analyzer refers to the XN-10 module.<br>
b Control material specific for the XN-L analyzer.
# I. Special Control/Guidance Document Referenced (if applicable):
- CLSI C28-A3c Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline - Third Edition
- CLSI EP06-A Evaluation of the Linearity of Quantitative Measurement Procedures: Statistical Approach; Approved Guideline
- CLSI EP12-A2, User Protocol for Evaluation of Qualitative Test Performance; Approved Guideline - Second Edition
- CLSI EP17-A2 Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition
- CLSI H20-A2 Reference Leukocyte (WBC) Differential Count (Proportional) And Evaluation Of Instrumental Methods; Approved Standard-Second Edition
- CLSI H26-A2, Validation, Verification, and Quality Assurance of Automated Hematology Analyzer; Approved Guideline - Second Edition
- IEC 60825-1:2007 Safety of laser products – Part 1: Equipment classification and requirements
- IEC 61010-1:2001 Safety requirements for electrical equipment for measurement, control
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and laboratory use – Part 1: General requirements
- IEC 61010-2-081:2001+A1 Safety requirements for electrical equipment for measurement, control and laboratory use – Part 2-081: Particular requirements for automatic and semi-automatic laboratory equipment for analysis and other purposes
- IEC 61010-2-101:2002 Safety requirements for electrical equipment for measurement, control and laboratory use – Part 2-101: Particular requirements for in vitro diagnostic (IVD) medical equipment
- IEC 61326-2-6:2005 Electrical equipment for measurement, control and laboratory use – EMC requirements – Part 2-6: Particular requirements – In vitro diagnostic (IVD) medical equipment
## J. Performance Characteristics:
### 1. Analytical Performance:
#### a. Method comparison:
i. Method comparison - > 2 years of age: Refer to K160538
ii. Method comparison - ≤ 2 years of age:
Whole Blood Studies (excluding reticulocyte parameters - RET, IRF, Ret-He): A total of 52 pediatric samples under the age of 2 years old were collected across three clinical pediatric sites. The residual specimens were collected in K₂EDTA according to the manufacturer's recommendations. All samples were tested within 8 hours of collection. Samples were analyzed on both the XN-10 analyzer and the XN-L in singlet by the labeled procedures within 2 hours of each other.
Deming regression analyses were used to estimate the parameters of the regression model (slope, intercept, 95% confidence intervals (CI) and correlation coefficient). The 95% CI and estimates of the bias/difference were determined for each parameter. All results were within the pre-defined acceptance criteria.
All sites combined:
| Parameter (unit) | Result Range | Correlation Coefficient | Slope (95% CI) | Intercept (95% CI) |
| --- | --- | --- | --- | --- |
| WBC (10³/μL) | 2.64 – 23.85 | 0.9982 | 0.925 (0.909, 0.941) | 0.199 (0.017, 0.380) |
| RBC (10⁶/μL) | 2.74 – 5.78 | 0.994 | 1.015 (0.984, 1.047) | -0.064 (-0.200, 0.071) |
| HGB (g/dL) | 7.1 – 15.9 | 0.9981 | 1.032 (1.014, 1.050) | -0.11 (-0.32, 0.10) |
| HCT | 22.0 – 45.8 | 0.9833 | 0.975 | 0.92 |
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| Parameter (unit) | Result Range | Correlation Coefficient | Slope (95% CI) | Intercept (95% CI) |
| --- | --- | --- | --- | --- |
| (%) | | | (0.925, 1.026) | (-0.88, 2.73) |
| MCV (fL) | 72.8 – 103.1 | 0.922 | 1.041
(0.924, 1.157) | -3.2
(-12.91, 6.50) |
| MCH (pg) | 23.6 – 33.0 | 0.968 | 1.003
(0.931, 1.075) | 0.53
(-1.41, 2.47) |
| MCHC (g/dL) | 29.5 – 34.7 | 0.7726 | 0.878
(0.707, 1.049) | 4.6
(-0.93, 10.13) |
| PLT (10³/μL) | 135 – 888 | 0.9924 | 1.119
(1.080, 1.158) | -19.6
(-35.4, -3.8) |
| RDW-SD (fL) | 34.5 – 58.2 | 0.956 | 0.992
(0.909, 1.076) | 1.57
(-1.88, 5.02) |
| RDW-CV (%) | 11.7 – 17.4 | 0.983 | 0.996
(0.944, 1.048) | 0.29
(-0.42, 1.00) |
| MPV (fL) | 8.1 – 12.5 | 0.934 | 1.019
(0.914, 1.124) | 0.1
(-0.94, 1.14) |
| NEUT# (10³/μL) | 0.04 – 19.46 | 0.9992 | 0.93
(0.920, 0.941) | 0.036
(-0.027, 0.099) |
| LYMPH# (10³/μL) | 0.79 – 12.93 | 0.9966 | 0.93
(0.908, 0.952) | 0.039
(-0.079, 0.156) |
| MONO# (10³/μL) | 0.21 – 3.16 | 0.9729 | 0.933
(0.871, 0.995) | 0.05
(-0.017, 0.117) |
| EO# (10³/μL) | 0.00 – 2.24 | 0.9977 | 0.88
(0.863, 0.897) | 0.007
(0.000, 0.013) |
| BASO# (10³/μL) | 0.00 – 0.16 | 0.6237 | 1.348
(1.031, 1.664) | 0.011
(-0.004, 0.026) |
| IG# (10³/μL) | 0.00 – 0.20 | 0.8999 | 0.738
(0.643, 0.834) | -0.002
(-0.008, 0.003) |
| NEUT% (%) | 0.7 – 81.5 | 0.9994 | 0.996
(0.986, 1.006) | -0.05
(-0.51, 0.41) |
| LYMPH% (%) | 10.9 – 87.8 | 0.9973 | 0.977
(0.957, 0.997) | 0.65
(-0.43, 1.72) |
| MONO% (%) | 4.1 – 17.4 | 0.9236 | 1.013
(0.900, 1.125) | 0.31
(-0.78, 1.41) |
| EO% (%) | 0.0 – 11.6 | 0.9959 | 0.964
(0.939, 0.988) | 0.01
(-0.06, 0.08) |
| BASO% (%) | 0.0 – 1.2 | 0.3733 | 2.258
(1.643, 2.873) | -0.15
(-0.42, 0.12) |
| IG % (%) | 0.0 – 1.2 | 0.8464 | 1.011
(0.852, 1.171) | -0.09
(-0.16, -0.03) |
Reticulocyte parameters (RET, IRF, Ret-He):
A total of 37 pediatric samples (1 month – 2.7 years) for the reticulocyte parameters were collected at one clinical site. The residual de-identified specimens were collected in K₂EDTA following manufacturer’s recommendations. All samples
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were tested within 8 hours of collection. Samples were analyzed on both the XN-10 analyzer and the XN-L in singlet by the labeled procedures within 2 hours of each other.
Deming regression analyses were used to estimate the parameters of the regression model (slope, intercept, 95% confidence intervals (CI) and correlation coefficient). The 95% CI and estimates of the bias/difference were determined for each parameter. All results were within the pre-defined acceptance criteria.
All sites combined:
| Parameter | Result Range | Correlation Coefficient | Slope (95% CI) | Intercept (95% CI) |
| --- | --- | --- | --- | --- |
| RET (10³/μL) | 0.0040 – 0.2154 | 0.9062 | 0.977 (0.831, 1.122) | -0.009 (-0.01994, 0.00126) |
| RET (%) | 0.16 – 6.45 | 0.9060 | 0.946 (0.805, 1.087) | -0.206 (-0.487, 0.076) |
| IRF (%) | 1.5 – 42.9 | 0.9041 | 0.971 (0.824, 1.117) | -0.200 (-2.78, 2.38) |
| RET-He (pg) | 22.6 – 35.5 | 0.9552 | 1.045 (0.938, 1.152) | -4.100 (-7.26, -0.94) |
b. Precision/Reproducibility:
Refer to K160538
c. Linearity:
Refer to K160538
d. Carryover:
Refer to K160538
e. Interfering Substances:
Refer to K160538
2. Other Supportive Instrument Performance Data Not Covered Above:
a. Sample Stability
Refer to K160538
b. Verification of Reference Intervals
i. Body Fluids
Refer to K160538
ii. Reference range - pediatrics > 2 years old:
Refer to K160538
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iii. Reference range - pediatric birth to ≤2 years
Two peer-reviewed references were cited to substantiate the reference intervals for pediatrics.
Reference Ranges for WBC, RBC, HGB, HCT, MCV, MCH, PLT, RDW-SD, RDW-CV, MPV, NEUT#, NEUT%, LYMPH#, LMPH%, MONO#, MONO%, EO#, EO%, BASO%, RET#, RET%, IRF%, IG#:
Soldin, S.J., Brugnara, C., and Wong, E.C. 2005. Pediatric Reference Intervals, Fifth Edition, AACC Press, Washington, DC.
Reference Ranges for BASO#, IG#, IG%, MCHC:
Soldin, S. J., Brugnara, C., and Wong, E.C. 2007. Pediatric Reference Intervals, Sixth Edition, AACC Press, Washington, DC. c. Matrix Studies
| Measurand | Units | Females | Males | Combined^{1} RI Male/Females |
| --- | --- | --- | --- | --- |
| WBC | x 10^{3}/μL | 5.9 – 15.8 | 6.5 – 16.7 | 5.9 – 16.7 |
| RBC | x 10^{6}/μL | 3.55 – 4.83 | 3.24 – 5.08 | 3.24 – 5.08 |
| HGB | g/dL | 10.7 – 16.4 | 10.2 – 16.6 | 10.2 – 16.6 |
| HCT | % | 30.5 – 47.7 | 29.1 – 47.4 | 29.1 – 47.7 |
| MCV | fL | 76.6 – 105.4 | 75.6 – 106.3 | 75.6 – 106.3 |
| MCH | pg | 26.5 – 36.3 | 26.0 – 36.4 | 26.0 – 36.4 |
| MCHC | g/dL | 33.7 – 35.7 | 33.6 – 35.7 | 33.6 – 35.7 |
| PLT | x 10^{3}/μL | 95.0 – 430 | 120 – 471 | 95.0 – 471 |
| RDW-SD | fL | 34.9 – 65.7 | 35.3 – 61.7 | 34.9 – 65.7 |
| RDW-CV | % | 13.3 – 17.8 | 13.5 – 18.2 | 13.3 – 18.2 |
| MPV | fL | 7.3 – 9.9 | 7.3 – 9.3 | 7.3 – 9.9 |
| NEUT | x 10^{3}/μL | 2.2 – 11.4 | 2.2 – 9.4 | 2.2 – 11.4 |
| NEUT | % | 15.7 – 69.3 | 14.6 – 69.2 | 14.6 – 69.3 |
| LYMPH | x 10^{3}/μL | 1.2 – 5.7 | 1.4 – 5.6 | 1.2 – 5.7 |
| LYMPH | % | 8.0 – 70.0 | 9.0 – 68.0 | 8.0 – 70.0 |
| MONO | x 10^{3}/μL | 0.1 – 5.0 | 0.2 – 3.5 | 0.1 – 5.0 |
| MONO | % | 4.0 – 19.0 | 4.0 – 18.0 | 4.0 – 19.0 |
| EO | x 10^{3}/μL | 0.0 – 0.4 | 0.0 – 0.5 | 0.0 – 0.5 |
| EO | % | 1.0 – 6.0 | 1.0 – 7.0 | 1.0 – 7.0 |
| BASO | x 10^{3}/μL | 0.0 – 0.1 | 0.0 – 0.1 | 0.0 – 0.1 |
| BASO | % | 0.0 – 1.0 | 0.0 – 1.0 | 0.0 – 1.0 |
| RET | % | 0.4 – 3.7 | 0.4 – 4.8 | 0.4 – 4.8 |
| RET | x 10^{3}/μL | 35.0 – 120.0 | 29.0 – 104.0 | 29.0 – 120.0 |
| RET-He^{2} | pg | 23.9 – 30.9 | 22.5 – 31.8 | 22.5 – 31.8 |
| IRF | % | 11.4 – 35.1 | 11.4 – 35.1 | 11.4 – 35.1 |
| IG | % | 0.0 – 1.7 | 0.0 – 1.7 | 0.0 – 1.7 |
| IG | x 10^{3}/μL | 0.00 – 0.28 | 0.00 – 0.28 | 0.0 – 0.28 |
1 Combined Reference Intervals (RI) - The lowest and highest value of the above female and male ranges were used to define the lower and upper range for the combined RI for pediatric subgroup birth to <2 years listed in the above table.
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d. Bridging Studies
Refer to K160538
e. Determination of limit of Blank, lower limits of detection and quantitation:
Refer to K160538
K. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
L. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
11
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.