Calprest®NG is a quantitative ELISA for detecting concentration of fecal calprotectin, which can be used as an in vitro diagnostic to aid in the diagnosis of Inflammatory Bowel Diseases (IBD), specifically Crohn's disease and ulcerative colitis, and to differentiate IBD from Irritable Bowel Syndrome (IBS) in conjunction with other clinical and laboratory findings.
Device Story
Calprest®NG is a quantitative colorimetric ELISA kit for measuring fecal calprotectin concentration. Stool samples are extracted in buffer, centrifuged, and added to a microtiter plate coated with rabbit anti-calprotectin antibodies. Captured calprotectin is detected using HRP-labeled mouse anti-calprotectin antibodies and TMB substrate. Optical density is measured at 450 nm using a microtiter plate reader. The intensity of the color is proportional to the calprotectin concentration, which is calculated via a standard curve. The device is intended for use in clinical laboratories by trained personnel. Results assist clinicians in diagnosing IBD and differentiating it from IBS, potentially reducing the need for invasive procedures like colonoscopy in patients with low calprotectin levels.
Clinical Evidence
Performance evaluated via method comparison and clinical studies. Method comparison against the predicate (N=273) showed high agreement (97.5% overall agreement when borderline values considered positive). Sensitivity and specificity for IBD diagnosis were 94.6% and 90.2% (borderline positive) or 83.1% and 97.9% (borderline negative). Precision studies (single-site and multisite) demonstrated acceptable repeatability and reproducibility across various concentrations. Linearity was confirmed in both matrix and aqueous samples (R²=0.99-1.00). Interference testing showed no significant impact from common drugs, nutrients, hemoglobin, or enteric pathogens.
Technological Characteristics
Quantitative ELISA system; 96-well microtiter plate format. Uses HRP-conjugated antibody and TMB substrate; colorimetric detection at 450 nm. Requires 1-5g stool sample; 1:20000 dilution. Includes 6-level calibrators. Stop solution: 0.5M H2SO4. No electronic or software components described; manual/instrument-based optical density reading.
Indications for Use
Indicated for patients with gastrointestinal symptoms to aid in the diagnosis of IBD (Crohn's disease, ulcerative colitis) and to differentiate IBD from IBS. For prescription use only.
Regulatory Classification
Identification
A fecal calprotectin immunological test system is an in vitro diagnostic device that consists of reagents used to quantitatively measure, by immunochemical techniques, fecal calprotectin in human stool specimens. The device is intended for in vitro diagnostic use as an aid in the diagnosis of inflammatory bowel diseases (IBD), specifically Crohn's disease and ulcerative colitis, and as an aid in differentiation of IBD from irritable bowel syndrome.
Special Controls
The device is classified as Class II under regulation 21 CFR 866.5180 with special controls. The special control guidance document, "Class II Special Controls Guidance Document: Fecal Calprotectin Immunological Test Systems" will be available shortly.
*Classification.* Class II (special controls). The special control for these devices is FDA's guidance document entitled “Class II Special Controls Guidance Document: Fecal Calprotectin Immunological Test Systems.” For the availability of this guidance document, see § 866.1(e).
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
A. 510(k) Number:
K160447
B. Purpose for Submission:
New Device
C. Measurand:
Fecal calprotectin
D. Type of Test:
Quantitative, ELISA
E. Applicant:
Eurospital S.p.A.
F. Proprietary and Established Names:
Calprest®NG
G. Regulatory Information:
1. Regulation section:
21 CFR§866.5180 – Fecal calprotectin immunological test system
2. Classification:
Class II
3. Product code:
NXO, Calprotectin, Fecal
4. Panel:
Immunology (82)
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H. Intended Use:
1. Intended use(s):
Calprest®NG is a quantitative ELISA for detecting concentration of fecal calprotectin, which can be used as an in vitro diagnostic to aid in the diagnosis of Inflammatory Bowel Diseases (IBD), specifically Crohn's disease and ulcerative colitis, and to differentiate IBD from Irritable Bowel Syndrome (IBS) in conjunction with other clinical and laboratory findings.
2. Indication(s) for use:
Same as Intended Use
3. Special conditions for use statement(s):
Prescription use only
4. Special instrument requirements:
Microtiter plate reader (450 nm filter)
I. Device Description:
The Calprest®NG kit contains the following materials:
- Microtiter plate coated with rabbit anti-calprotectin antibodies (12 strips, 8 wells/strip)
- Horse-radish peroxidase (HRP)-labeled mouse anti-calprotectin antibody (1 x 15 mL)
- Substrate (1 x 15 mL)
- Stop solution (1 x 15 mL, 0.5M H₂SO₄)
- 20x Washing solution (1 x 50 mL)
- 10x Diluent solution (1 x 20 mL)
- 2.5x Extraction solution (2 x 50 mL)
- Calibrators (6 x 1.5 mL, 6 vials containing 1.5 mL/vial calprotectin solution at concentration of 0, 2.5, 12.5, 25, 50, 150 ng/mL)
- Control 1 (low) (1 x 1.5 mL)
- Control 2 (high) (1 x 1.5 mL)
J. Substantial Equivalence Information:
1. Predicate device name:
Calprest®
2. Predicate 510(k) number:
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K130945
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device Calprest®NG | Predicate Calprest® |
| Intended Use/Indication for Use | to aid in the diagnosis of Inflammatory Bowel Diseases (IBD), specifically Crohn's disease and ulcerative colitis, and to differentiate IBD from Irritable Bowel Syndrome (IBS) in conjunction with other clinical and laboratory findings | Same |
| Analyte | Calprotectin | Same |
| Assay format | Quantitative | Same |
| Method | Colorimetric ELISA | Same |
| Sample type | Fecal | Same |
| Specimen Requirement | 1.0–5.0 g stool | Same |
| Stability (Working solution) | Washing buffer: 20–25°C for 30 days Extraction buffer: 2–8°C for 3 months Dilution buffer: 2–8°C for 30 days | Same |
| Stability (Open vial reagents) | Conjugate: 2–8°C for 30 days Substrate: 2–8°C for 90 days Calibrators: 2–8°C for 30 days Controls: 2–8°C for 30 days | Same |
| Sample storage | Stored at 2–8°C for up to 4 days before testing. If not tested immediately, freeze stored samples at -20°C. | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device Calprest®NG | Predicate Calprest® |
| OD reading | 450 nm | 405 nm |
| Detection Antibody | HRP-labeled mouse anti-calprotectin | Alkaline-phosphatase-labeled rabbit anti-calprotectin |
| Substrate | TMB | pNPP |
| Stop solution | H2SO4(0.5M) | None |
| Sample dilution | 1:20,000 | 1:2500 |
| Control | 2 controlsControl 1: 10–20 ng/mLControl 2: 30–70 ng/mL | 2 controlsControl 1: 20–40 ng/mLControl 2: 40–85 ng/mL |
| Calibrators | 6 levels: | 6 levels: |
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| Differences | | |
| --- | --- | --- |
| Item | Device Calprest®NG | Predicate Calprest® |
| | 0, 2.5, 12.5, 25, 50, 150 ng/mL | 6.25, 12.5, 25, 50, 100, 200 ng/mL |
| Conversion factor | 20 | 2.5 |
| Reportable range | 27.1–3000 mg/kg | 15.6–500 mg/kg |
| Results interpretation | Normal: 27.1– <50 mg/kg
Borderline: 50–120 mg/kg
Abnormal: >120 mg/kg | Normal: <15.6–50 mg/kg
Borderline: 50–120 mg/kg
Abnormal: >120 mg/kg |
| ELISA Procedure :
Sample incubation | 60 min | 45 min |
| Conjugate incubation | 30 min | 45 min |
| Substrate incubation | 15 min | 30 min |
## K. Standard/Guidance Document Referenced (if applicable):
- CLSI EP5-A3, Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline—Third Edition
- CLSI EP6-A, Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline
- CLSI EP7-A2, Interference Testing in Clinical Chemistry; Approved Guideline—Second Edition
- CLSI EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline—Second Edition
- Guidance for Industry and FDA Staff—Class II Special Controls Guidance Document: Fecal Calprotectin Immunological Test Systems
## L. Test Principle:
Calprest®NG is a colorimetric enzyme-linked immunosorbent assay (ELISA). The test is performed on stool samples collected without preservatives. An extract is prepared by combining the stool sample with extraction buffer and mixing for 30 minutes followed by centrifugation. The assay uses a polyclonal rabbit antibody against calprotectin as the capture antibody. Calprotectin present in the diluted stool extract sample is bound by the antibody adsorbed onto the surface of the microtiter plate. HRP-conjugated antibodies bind to the captured calprotectin. The enzyme catalyzes the conversion of the substrate (TMB) to a colored product and the optical density (OD) at 450 nm of the sample is read on an ELISA plate reader. The intensity of the color is proportional to the amount of conjugate bound, and thus to the amount of captured calprotectin. The concentration of calprotectin in the extracted sample is interpreted from a standard curve generated from the six calibrators and converted to mg of calprotectin per kg of stool using a conversion factor supplied in the package insert.
## M. Performance Characteristics:
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1. Analytical performance: All results presented below were within the sponsor's predetermined acceptance criteria for each study.
# a. Precision/Reproducibility:
Precision: The precision of the Calprest®NG assay was evaluated by extracting seven stool samples containing various concentration of calprotectin. Each extracted sample was tested in duplicate, two runs per day for 10 days by three different operators using one lot of reagent (total of 120 replicates per sample). The results are summarized in the table below
| | Mean (mg/kg) | Within-Run | | Between-Run | | Between-Day | | Between-Operator | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 42.60 | 1.28 | 3.0 | 4.30 | 10.1 | 0.00 | 0.0 | 0.55 | 1.3 | 4.52 | 10.6 |
| 2 | 170.88 | 3.40 | 2.0 | 6.77 | 4.0 | 5.51 | 3.2 | 0.80 | 0.5 | 9.40 | 5.5 |
| 3 | 248.74 | 6.44 | 2.6 | 11.98 | 4.8 | 12.21 | 4.9 | 0.00 | 0.0 | 18.28 | 7.3 |
| 4 | 741.60 | 17.38 | 2.3 | 43.12 | 5.8 | 55.37 | 7.5 | 0.00 | 0.0 | 72.30 | 9.7 |
| 5 | 1006.17 | 41.69 | 4.1 | 39.67 | 3.9 | 55.80 | 5.5 | 28.24 | 2.8 | 84.98 | 8.4 |
| 6 | 1193.10 | 52.91 | 4.4 | 73.33 | 6.1 | 118.78 | 10.0 | 60.32 | 5.1 | 161.01 | 13.5 |
| 7 | 2267.29 | 223.08 | 9.8 | 83.22 | 3.7 | 155.52 | 6.9 | 58.33 | 2.6 | 290.31 | 12.8 |
Reproducibility: The lot-to-lot reproducibility was done by extracting four stool samples with calprotectin concentrations of 64.7, 259.2, 778.2, and $2005.2\mathrm{mg / kg}$ . Each extracted sample was tested in replicates of five using three different lots of the reagents. Mean and $\% \mathrm{CV}$ for each sample were calculated and $\% \mathrm{CV}$ values for between-lot reproducibility were $3.1\% -7.3\%$ for all samples.
The site-to-site reproducibility was evaluated by testing a total of eight stool samples at three sites. The samples were run in replicates of five per day for five days at each site, and a total of 75 data points were generated for each sample. Data were analyzed for within-run, between-run, within-site, between site and total reproducibility. The results are summarized in the table below:
| | Mean (mg/kg) | Within-Run | | Between-Day | | Within-Site | | Between-Site | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 36.54 | 3.69 | 10.1 | 3.54 | 9.7 | 5.11 | 14.0 | 0.00 | 0.0 | 5.11 | 14.0 |
| 2 | 62.08 | 4.19 | 6.8 | 3.78 | 6.1 | 5.64 | 9.1 | 6.60 | 10.6 | 8.68 | 14.0 |
| 3 | 356.84 | 12.00 | 3.4 | 27.57 | 7.7 | 30.07 | 8.4 | 42.34 | 11.9 | 51.93 | 14.6 |
| 4 | 433.80 | 13.43 | 3.1 | 62.56 | 14.4 | 63.99 | 14.8 | 8.47 | 2.0 | 64.55 | 14.9 |
| 5 | 682.76 | 35.88 | 5.3 | 34.21 | 5.0 | 49.57 | 7.3 | 61.45 | 9.0 | 78.95 | 11.6 |
| 6 | 1180.64 | 71.08 | 6.0 | 139.04 | 11.8 | 156.16 | 13.2 | 0.00 | 0.0 | 156.16 | 13.2 |
| 7 | 1629.44 | 96.29 | 5.9 | 191.96 | 11.8 | 214.76 | 13.2 | 73.04 | 4.5 | 226.84 | 13.9 |
| 8 | 2152.20 | 173.58 | 8.1 | 254.59 | 11.8 | 308.13 | 14.3 | 50.20 | 2.3 | 312.19 | 14.5 |
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The extraction reproducibility was evaluated by using four stool samples with calprotectin concentrations of 29.6, 52.7, 227.0, and 1973.3 mg/kg. Each stool sample was extracted 10 times and each stool extract was tested in duplicate. The %CVs for these four stool samples are 14.6%, 11.1%, 6.8%, and 5.9%, respectively.
b. Linearity/assay reportable range:
Linearity: The linearity of Calprest®NG was evaluated according to the CLSI guideline EP6-A. Four sample dilution series each with nine dilution levels were prepared by serially diluting the high concentration stool extract sample pools with the low concentration stool extract sample pools. Each dilution was tested in triplicate. The results are summarized as follows:
| Sample | Range (mg/kg) | Slope (95% CI) | Intercept (95% CI) | R² | % Recovery |
| --- | --- | --- | --- | --- | --- |
| 1 | 68.8–519.4 | 1.01 (0.92–1.11) | 3.01 (-27.0–33.1) | 0.99 | 90.9–112.8 |
| 2 | 27.4–198.9 | 1.03 (0.97–1.08) | -1.05 (-8.08–5.98) | 1.00 | 93.0–108.3 |
| 3 | 365.6–3066.0 | 0.97 (0.86–1.08) | 52.83 (-181.5–287.2) | 0.99 | 86.9–107.1 |
| 4 | 25.2–2832.9 | 1.05 (0.98–1.05) | 6.48 (-11.59–12.89) | 0.99 | 97.9–110.4 |
| All | 25.2–3066.0 | 1.01 (0.99–1.04) | 9.28 (-26.54–45.10) | 0.99 | 86.9–112.8 |
The Calprest®NG is linear for the claimed measuring range of 27.1–3000 mg/kg.
Accuracy/Recovery study: Extracts from seven stool samples were each spiked with the calibrator material. For the recovery of spiked samples expected to be lower than 300 mg/kg, Calprest®NG Calibrator S2 (2.5 ng/ml, 50 mg/kg) was used; for the recovery of spiked samples expected to be higher than 300 mg/kg, sample diluent was used to compensate for volume adjustments made to the calprotectin-spiked extracts. Each of the spiked extracts was then assayed in triplicate and results are shown in table below.
| Sample | #1 | #2 | #3 | #4 | #5 | #6 | #7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Baseline (mg/kg) | 9.3 | 51.7 | 162.7 | 307.7 | 458.3 | 1204.0 | 1975.2 |
| Spike Value (mg/kg) | 32.3 | 32.3 | 32.3 | 115.0 | 115.0 | 115.0 | 115.0 |
| Theoretical (Base+Spike) (mg/kg) | 41.7 | 84.0 | 195.0 | 422.7 | 573.3 | 1319.0 | 2090.2 |
| Observed (Base+Spike) (mg/kg) | 42.3 | 79.7 | 200.7 | 425.3 | 592.3 | 1397.7 | 2343.8 |
| % Recovery | 101.6 | 94.8 | 102.9 | 100.6 | 103.3 | 106.0 | 112.1 |
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
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Traceability: There is no international reference material for calprotectin. The calibrators and controls are manufactured using an approved reference lot which is traceable to the internal reference material cleared in K130945.
The calibrator S6, prepared from the master stock solution, was used to make the calibrators and controls. New lots of the calibrator set and controls were value assigned and validated by a comparison against an approved lot of calibrators and controls in three different assay runs and further testing with a panel of 12 internal quality control samples. The target values for calibrators are 0, 2.5, 12.5, 25, 50, and 150 ng/mL. The target values for controls range from 10–20 ng/mL for the Low Control and from 30–70 ng/mL for the High Control.
Stability:
Kit stability: The real time stability was performed using three lots of kits (including calibrators and controls) stored at 2–8°C. Data were collected at time points of 0, 1, 6, 12, 15, 18 months. The accelerated stability study was performed by using three lots of kits stored at 37°C for four weeks. The results support stability of the kits under the recommended storage of 2–8°C for up to 12 months.
Open vial stability: The study was done to evaluate the reagent stability after opening. Three kit lots of Calprest®NG were stored at 2–8°C after first opening. The study results support that the reagents are stable once opened for up to 30 days when stored at 2–8°C.
Working solutions stability: The study was done to evaluate the stability of working solutions including dilution buffer, washing buffer and extraction solution. The 1X working solution for each buffer was prepared and stored at 2–8°C. Data were collected at different time points. The results support up to 30 days stability for 1X dilution buffer and extraction buffer and three months stability for 1X washing buffer.
Sample stability: Sample stability was established per K130945. Five stool samples which cover the measuring range were stored at 2–8°C up to seven days. Data were collected at time points of 0, 2, 4, 7 days. The results support that stability of stool sample stored at 2–8°C up to four days.
Analyte (Calprotectin) stability: The study was done to determine the stability of extracted stool samples when stored -20°C. The study supports that the stool extracts are stable up to three months when stored at -20°C.
d. Detection limit:
The limit of blank (LoB) was determined by assaying five blank samples with 12 replicates per sample to generate 60 total replicates. LoB was calculated as the 95th percentile using the non-parametric method. The LoB value was determined to be 17.5 mg/kg.
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The limit of detection (LoD) was determined by assaying five extracted stool samples with low calprotectin level with 12 replicates per sample to generate 60 total replicates. The LoD value was calculated as the $\mathrm{LoB} + 1.645 \times \mathrm{SD}$ of the replicates for the low level samples and was determined to be $23.4 \mathrm{mg/kg}$ .
The limit of quantitation (LoQ) was determined based on the LoD test results. The low level extracted stool samples were tested on a reference method (Calprest) to obtain bias and calculate Total Error (TE). The LoQ was determined as $27.1\mathrm{mg / kg}$ with the TE of $10.5\mathrm{mg / kg}$ .
# e. Analytical specificity:
Interference studies were performed according to CLSI guideline EP07-A2 using five pooled stool samples. The pooled samples included two high positives (with calprotectin concentrations of $2068.6\mathrm{mg / kg}$ and $674.7\mathrm{mg / kg}$ ), one moderate positive $(256.0\mathrm{mg / kg})$ , one sample within borderline range $(79.3\mathrm{mg / kg})$ and one negative $(37.2\mathrm{mg / kg})$ . For non-interference to be claimed, the $\%$ recovery of the spiked sample should be within $95 - 105\%$ of the neat sample. Stool samples were tested for potential interference by:
Microorganisms: The data demonstrated that Calprest® was not affected by Escherichia coli, Klebsiella pneumoniae, Salmonella spp., Shigella spp., and Yersinia spp. at cell counts of $1.5 \times 10^{7}$ cfu/ml in stool samples.
Drugs and Nutrients: The data demonstrated that Calprest®NG was not affected by the following oral pharmaceuticals and nutritional supplements: Vancomycin (0.67 mg/50 mg stool); Ciprofloxacin HCL (0.50 mg/50 mg stool); Prevacid (0.02 mg/50 mg stool); Azathioprine (0.07 mg/50 mg stool); Prednisone (0.01 mg/50 mg stool); Pentasa (1.33 mg/50 mg stool); Asacol (1.33 mg/50 mg stool); multiple vitamin (Vitamin D: 1.1 U/50 mg stool, Vitamin A: 8.0 U/50 mg stool, Vitamin C: 0.05 mg/50 mg stool), and Vitamin E (0.10 mg/50 mg stool). The concentration level of tested drugs and nutrients was sufficient to reflect the average concentration to be expected in a patient's stool.
Hemoglobin: The results showed that the addition of hemoglobin into the stool samples at level of $5.83\mathrm{mg} / 50\mathrm{mg}$ stool did not interfere with Calprest®NG.
# f. Assay cut-off:
The assay cut-off for Calprest®NG is as follows:
| Calprotectin (mg/kg) | Interpretation | Suggested follow-up |
| --- | --- | --- |
| < 27.1–50 | Normal | None |
| 50–120 | Borderline | Re-evaluate at 4–6 weeks |
| > 120 | Abnormal | Repeat as clinically indicated. |
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9
2. Comparison studies:
a. Method comparison with predicate device:
A total of 182 stool samples including 123 samples from patients diagnosed with IBD (Crohn’s disease, ulcerative colitis (UC), intermediate colitis (IC), suspected IBD, and diversion disease) and 59 samples from patients with IBS, chronic diarrhea, recurrent abdominal pain (RAP), celiac disease, and other conditions were assayed using Calprest®NG and the predicate device Calprest® in accordance with the instructions for use in the package inserts. From the total sample size of 182, results for 157 samples were within the measuring ranges of both assays. The regression analysis of the results comparing the Calprest®NG and the predicate Calprest® is shown below:
| N | Range (mg/kg) | Slope (95% CI) | Intercept (95% CI) | Correlation Coefficient |
| --- | --- | --- | --- | --- |
| 157 | 15.60–494.57 | 0.92 (0.84–1.01) | 0.13 (-4.64–4.90) | 0.84 |
The observed low correlation coefficient of the regression analysis is likely due to the different detection antibody and detection system used for the Calprest NG and the predicate.
Additional method comparison analysis was performed using the cut-offs of both assays. The results are shown below:
| | Predicate (Calprest®) | | | | |
| --- | --- | --- | --- | --- | --- |
| | | Positive | Borderline | Negative | Total |
| Calprest®NG | Positive | 73 | 3 | 0 | 76 |
| | Borderline | 2 | 35 | 0 | 37 |
| | Negative | 1 | 3 | 40 | 44 |
| | Total | 76 | 41 | 40 | 157 |
| Borderline as positive:
Positive agreement (95% CI): 96.6% (91.5–98.7%)
Negative agreement (95% CI): 100.0% (91.2–100.0%)
Total agreement (95% CI): 97.5% (93.6–99.0%) | | | | | |
| Borderline as negative:
Positive agreement (95% CI): 96.1% (89.0–98.6%)
Negative agreement (95% CI): 96.3% (89.7–98.7%)
Total agreement (95% CI): 96.2% (91.9–98.2%) | | | | | |
b. Matrix comparison:
Not applicable
3. Clinical studies:
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# a. Clinical Sensitivity and specificity
The 273 stool samples used in the clinical validation for the Calprest®NG assay include 130 samples from patients diagnosed with IBD and 143 samples from patients with IBS and other diseases/conditions with gastrointestinal symptoms. Among the 130 IBS samples, 71 were from patients diagnosed with Crohn's disease including six samples from patients in remission, 41 were from patients diagnosed with UC including seven samples from patients in remission, 12 were from patients with IC, and six were from patients with diversion disease. The patients with IBD were diagnosed by clinical findings and/or confirmed with colonoscopy. Among 143 non-IBD samples, 51 samples were from patients diagnosed with IBS and 92 samples from patients with chronic diarrhea, RAP, celiac disease and other non-IBD conditions. The patients with IBS were defined based on the Rome III diagnostic criteria. The clinical performance of Calprest®NG was evaluated for sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). The results are summarized in the following tables:
| | Clinical Diagnosis of IBD | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| Calprest®NG | Abnormal (>120 mg/kg) | 108 | 3 | 111 |
| | Borderline (50–120 mg/kg) | 15 | 11 | 26 |
| | Normal (<50 mg/kg) | 7 | 129 | 136 |
| | Total | 130 | 143 | 273 |
| Borderline considered as abnormal: Sensitivity (95% CI): 94.6% (89.2–97.8%) Specificity (95% CI): 90.2% (8 4.1–94.5%) PPV (95% CI): 89.8% (83.4–94.3%) NPV (95% CI): 94.9% (89.7–97.9%) | | | | |
| Borderline considered as normal: Sensitivity (95% CI): 83.1% (75.5–89.1%) Specificity (95% CI): 97.9% (94.0–99.6%) PPV (95% CI): 97.3% (92.3–99.4%) NPV (95% CI): 86.4% (80.2–91.3%) | | | | |
b. 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 expected value in the normal healthy population is generally $< 50 \, \mathrm{mg/kg}$ according
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Røseth et al. (1992)*.
Ninety-two samples from normal healthy people and 42 samples from patients with CD, UC, IBS, and IC were tested with Calprest® to validate the reference range value. The results showed that 89 out of 92 samples (96.7 %) from normal healthy people tested negative and the remaining three samples fell in the range of 56.3–64.4 mg/kg. Of the 42 samples from patients with CD, UC, IBS and IC, 39 (92.9%) were tested positive by the assay.
* Røseth AG, Fagerhol MK, Aadland E, Schonsby H. (1992). Assessment of the neutrophil-dominating protein calprotectin in feces. A methodology study. Scand J. Gastroenterol. 27(9): 793-798.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
11
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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.