GEN-PROBE APTIMA ASSAY FOR NEISSERIA GONORRHOEAE, MODEL 1091
K062440 · Gen-Probe, Inc. · LSL · Nov 7, 2006 · Microbiology
Device Facts
Record ID
K062440
Device Name
GEN-PROBE APTIMA ASSAY FOR NEISSERIA GONORRHOEAE, MODEL 1091
Applicant
Gen-Probe, Inc.
Product Code
LSL · Microbiology
Decision Date
Nov 7, 2006
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.3390
Device Class
Class 2
Indications for Use
The APTIMA® Assay for Neisseria gonorrhoeae is a target amplification nucleic acid probe test that utilizes target capture for the in vitro qualitative detection of ribosomal RNA (rRNA) from Neisseria gonorrhoeae (GC) to aid in the diagnosis of gonococcal urogenital disease. The assay may be used to test the following specimens from symptomatic individuals: clinician-collected endocervical, vaginal and male urethral swab specimens; and female and male urine specimens. The assay may be used to test the following specimens from asymptomatic individuals: clinician-collected endocervical and vaginal swab specimens; and patient-collected vaginal swab specimens¹ and female and male urine specimens. The assay is also intended for use with the testing of gynecological specimens, from both symptomatic and asymptomatic patients, collected in the PreservCyt Solution and processed with the Cytyc ThinPrep 2000 System.
Device Story
Nucleic acid amplification test (NAAT) for N. gonorrhoeae detection. Inputs: endocervical, vaginal, male urethral swabs, urine, or PreservCyt gynecological specimens. Process: target capture of rRNA using magnetic microparticles; Transcription-Mediated Amplification (TMA) of 16S rRNA; Hybridization Protection Assay (HPA) using chemiluminescent DNA probes. Output: Relative Light Units (RLU) measured by Gen-Probe DTS System. Used in clinical settings; operated by laboratory personnel. Results aid diagnosis of gonococcal urogenital disease. Benefits: enables testing of liquid Pap specimens, streamlining workflow for clinicians.
Clinical Evidence
Prospective multi-center study (n=1,647) evaluated PreservCyt specimens against a reference standard (APTIMA Combo 2 and APTIMA GC Assay on endocervical swabs). Overall sensitivity was 92.3% (12/13; 95% CI: 64.0–99.8%) and specificity was 99.8% (1630/1634; 95% CI: 99.4–99.9%). Symptomatic sensitivity 100% (7/7), asymptomatic 83.3% (5/6).
Technological Characteristics
Nucleic acid amplification test (NAAT) utilizing target capture technology for rRNA detection. Components include APTIMA Specimen Transfer Kit (transport tube with media and penetrable cap). Compatible with Cytyc ThinPrep 2000 Processor for specimen processing. Standalone laboratory assay.
Indications for Use
Indicated for symptomatic and asymptomatic individuals to aid in the diagnosis of gonococcal urogenital disease. Specimens include clinician-collected endocervical, vaginal, and male urethral swabs; patient-collected vaginal swabs; female and male urine; and gynecological specimens in PreservCyt Solution processed via Cytyc ThinPrep 2000.
Regulatory Classification
Identification
Neisseria spp. direct serological test reagents are devices that consist of antigens and antisera used in serological tests to identify Neisseria spp. from cultured isolates. Additionally, some of these reagents consist of Neisseria spp. antisera conjugated with a fluorescent dye (immunofluorescent reagents) which may be used to detect the presence of Neisseria spp. directly from clinical specimens. The identification aids in the diagnosis of disease caused by bacteria belonging to the genus Neisseria, such as epidemic cerebrospinal meningitis, meningococcal disease, and gonorrhea, and also provides epidemiological information on diseases caused by these microorganisms. The device does not include products for the detection of gonorrhea in humans by indirect methods, such as detection of antibodies or of oxidase produced by gonococcal organisms.
Predicate Devices
GEN-PROBE® APTIMA® Assay for Neisseria gonorrhoeae
Submission Summary (Full Text)
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
K062440
B. Purpose for Submission:
The Gen-Probe APTIMA® Assay for *Neisseria gonorrhoeae* (AGC) is a nucleic acid amplification test (NAAT) intended for the qualitative detection of ribosomal RNA from *Neisseria gonorrhoeae* (GC) in endocervical, male urethral and vaginal swab specimens and in female and male urine specimens. The assay originally received FDA clearance in 2005 (K043144). The current application is for the additional indication of testing specimens collected and processed with the Cytyc ThinPrep 2000 System. New PreservCyt labeling for the approved ancillary liquid pap Specimen Transfer Kit is included in the current submission.
C. Measurand:
*Neisseria gonorrhoeae* (GC) ribosomal RNA
D. Type of Test:
NAAT
E. Applicant:
GEN-PROBE, INC.
F. Proprietary and Established Names:
GEN-PROBE® APTIMA® Assay for *Neisseria gonorrhoeae*
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LSL | Class II | 21 CFR 866.3390 | Microbiology (83) |
H. Intended Use:
1. Intended use(s):
The APTIMA® Assay for *Neisseria gonorrhoeae* is a target amplification nucleic acid probe test that utilizes target capture for the in vitro qualitative detection of
{1}
ribosomal RNA (rRNA) from Neisseria gonorrhoeae (GC) to aid in the diagnosis of gonococcal urogenital disease. The assay may be used to test the following specimens from symptomatic individuals: clinician-collected endocervical, vaginal and male urethral swab specimens; and female and male urine specimens. The assay may be used to test the following specimens from asymptomatic individuals: clinician-collected endocervical and vaginal swab specimens; and patient-collected vaginal swab specimens¹ and female and male urine specimens. The assay is also intended for use with the testing of gynecological specimens, from both symptomatic and asymptomatic patients, collected in the PreservCyt Solution and processed with the Cytyc ThinPrep 2000 System.
¹ Patient-collected vaginal swab specimens are an option for screening women when a pelvic exam is not otherwise indicated. The vaginal swab specimen collection kit is not for home use.
2. Indication(s) for use:
See Intended Use above.
3. Special conditions for use statement(s):
This device is for prescription use only
4. Special instrument requirements:
Gen-Probe DTS System
I. Device Description:
The GEN-PROBE® APTIMA® Assay for Neisseria gonorrhoeae is a nucleic acid amplification test (NAAT). See Test Principle below for more details.
J. Substantial Equivalence Information:
Addition of a PreservCyt (PC) specimen indication to the previously cleared device. Collection device and media are different, as are specimen handling and storage conditions.
K. Standard/Guidance Document Referenced (if applicable):
Not Applicable
L. Test Principle:
The GEN-PROBE APTIMA Assay for Neisseria gonorrhoeae combines the technologies of target capture, Transcription-Mediated Amplification (TMA), and Hybridization Protection Assay (HPA). During target capture, rRNA molecules
{2}
are isolated from specimens by capture oligomers on magnetic microparticles. After target capture, the specimens are ready for TMA. The GEN-PROBE APTIMA Assay for Neisseria gonorrhoeae reaction replicates a specific region of the 16S rRNA from N. gonorrhoeae via DNA intermediates. Detection of the rRNA amplicons is achieved using a single-stranded chemiluminescent DNA probe, which is labeled with an acridinium ester molecule. The labeled DNA probe combines with amplicon to form stable RNA:DNA hybrids and light emitted from the labeled RNA:DNA hybrids is reported as Relative Light Units (RLU). Assay results are determined by a cut-off based on the RLU.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
PreservCyt specimen within-laboratory precision with the APTIMA GC Assay was determined by spiking PreservCyt vials with 20 GC CFU per vial (0.1 CFU per reaction) and 100 GC CFU per vial (0.5 CFU per reaction). Vials containing 10,000 GC CFU per vial (50 CFU per reaction) and unspiked PreservCyt vials were tested as positive and negative controls. Ten vials spiked at each CFU level and ten unspiked vials were divided between two operators. The operators vortexed the vials and then transferred 14 aliquots (1.0 mL each) per vial into 14 APTIMA Transfer Tubes as per the APTIMA Specimen Transfer Kit package insert. The operators were blinded to the samples' titers. Each of the resulting Pap-STM samples was tested once in the APTIMA GC Assay. A total of five runs were performed over a five day period for 140 results at the 0.1, 0.5, and 50 CFU level. There were 136 valid results and 4 invalid results for the negative control panel. The invalid results were due to a misplacement of a TTU in the Leader HC+. The results are summarized below:
Table 11. APTIMA GC Assay Within-Laboratory Precision Data for PreservCyt Using a 4-Member Precision Panel Containing 0 to 500 CFU/mL GC Cells
| Panel Member | CFU/mL PreservCyt | CFU/rxn | n | Agreed | % Agrmt. | Mean RLU (x1000) | Within-Operator | | Between-Day | | Between-Operator | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | SD (x1000) | CV (%) | SD (x1000) | CV (%) | SD (x1000) | CV (%) | SD (x1000) | CV (%) |
| A | 1 | 0.1 | 140 | 39 | 27.9 | 313.7 | 758.3 | 241.7 | 132.5 | 42.2 | 0.0 | 0.0 | 769.8 | 245.4 |
| B | 5 | 0.5 | 140 | 113 | 80.7 | 1211.1 | 1031.3 | 85.2 | 169.8 | 14.0 | 150.4 | 12.4 | 1056.0 | 87.2 |
| C | 500 | 50 | 140 | 140 | 100 | 5636.8 | 220.7 | 3.9 | 135.7 | 2.4 | 0.0 | 0.0 | 259.1 | 4.6 |
| D | 0 | 0 | 136* | 136 | 100 | 1.2 | 0.5 | N/A | 0 | N/A | 0.3 | N/A | 0.6 | N/A |
* There were four invalid results due to a misplaced TTU in the Leader HC+.
Note: Variability from some factors may be numerically negative, which can occur if the variability due to those factors is small. When this occurs, the variability as measured with SD and %CV is set to zero (12). N/A = Not applicable for negative panel members. Operator = Run. Samples with discordant results were included in the signal variability analysis.
#### b. Linearity/assay reportable range:
{3}
Not Applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Not Applicable
d. Detection limit:
A study was performed that showed the AGC Assay detected GC cells at the analytical sensitivity claim (50 CFU/assay) for 3 replicates of each of 20 GC clinical isolates tested in PC media. See results below:
Table 18.8-01: PreservCyt Analytical Sensitivity for Detection of GC
| GP Cl# | GC Cells Per Assay | Replicate 1 | | Replicate 2 | | Replicate 3 | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | RLU | Result | RLU | Result | RLU | Result |
| 760 | 500 | 5,659,000 | GC+ | 5,804,000 | GC+ | 5,665,000 | GC+ |
| | 50 | 3,657,000 | GC+ | 3,223,000 | GC+ | 2,820,000 | GC+ |
| | 5 | 541,000 | GC+ | 559,000 | GC+ | 621,000 | GC+ |
| | 0.5 | 49,000 | GC- | 70,000 | GCe | 140,000 | GC+ |
| 764 | 500 | 5,922,000 | GC+ | 5,884,000 | GC+ | 6,229,000 | GC+ |
| | 50 | 4,046,000 | GC+ | 4,313,000 | GC+ | 4,559,000 | GC+ |
| | 5 | 949,000 | GC+ | 888,000 | GC+ | 1,005,000 | GC+ |
| | 0.5 | 63,000 | GCe | 83,000 | GCe | 52,000 | GCe |
| 772 | 500 | 5,775,000 | GC+ | 5,844,000 | GC+ | 5,883,000 | GC+ |
| | 50 | 2,999,000 | GC+ | 2,772,000 | GC+ | 3,153,000 | GC+ |
| | 5 | 555,000 | GC+ | 598,000 | GC+ | 572,000 | GC+ |
| | 0.5 | 35,000 | GC- | 27,000 | GC- | 29,000 | GC- |
| 783 | 500 | 5,313,000 | GC+ | 5,218,000 | GC+ | 5,165,000 | GC+ |
| | 50 | 4,776,000 | GC+ | 4,738,000 | GC+ | 4,683,000 | GC+ |
| | 5 | 2,453,000 | GC+ | 1,909,000 | GC+ | 2,400,000 | GC+ |
| | 0.5 | 422,000 | GC+ | 607,000 | GC+ | 716,000 | GC+ |
| 787 | 500 | 4,597,000 | GC+ | 4,904,000 | GC+ | 4,893,000 | GC+ |
| | 50 | 2,712,000 | GC+ | 2,242,000 | GC+ | 2,165,000 | GC+ |
| | 5 | 327,000 | GC+ | 383,000 | GC+ | 623,000 | GC+ |
| | 0.5 | 48,000 | GC- | 24,000 | GC- | 41,000 | GC- |
| 789 | 500 | 5,833,000 | GC+ | 5,984,000 | GC+ | 6,111,000 | GC+ |
| | 50 | 3,402,000 | GC+ | 3,492,000 | GC+ | 2,688,000 | GC+ |
| | 5 | 409,000 | GC+ | 525,000 | GC+ | 516,000 | GC+ |
| | 0.5 | 70,000 | GCe | 41,000 | GC- | 96,000 | GCe |
| 790 | 500 | 4,431,000 | GC+ | 4,385,000 | GC+ | 4,370,000 | GC+ |
| | 50 | 2,097,000 | GC+ | 2,032,000 | GC+ | 2,369,000 | GC+ |
| | 5 | 313,000 | GC+ | 313,000 | GC+ | 200,000 | GC+ |
| | 0.5 | 30,000 | GC- | 7,000 | GC- | 10,000 | GC- |
| 793 | 500 | 6,081,000 | GC+ | 5,966,000 | GC+ | 5,814,000 | GC+ |
| | 50 | 5,319,000 | GC+ | 5,032,000 | GC+ | 5,180,000 | GC+ |
| | 5 | 2,347,000 | GC+ | 1,805,000 | GC+ | 1,824,000 | GC+ |
| | 0.5 | 138,000 | GC+ | 499,000 | GC+ | 436,000 | GC+ |
| 794 | 500 | 6,259,000 | GC+ | 6,424,000 | GC+ | 6,444,000 | GC+ |
| | 50 | 6,352,000 | GC+ | 5,261,000 | GC+ | 5,328,000 | GC+ |
| | 5 | 1,753,000 | GC+ | 1,617,000 | GC+ | 1,465,000 | GC+ |
| | 0.5 | 128,000 | GC+ | 175,000 | GC+ | 204,000 | GC+ |
| 795 | 500 | 5,104,000 | GC+ | 4,990,000 | GC+ | 4,851,000 | GC+ |
| | 50 | 3,787,000 | GC+ | 3,778,000 | GC+ | 4,110,000 | GC+ |
| | 5 | 953,000 | GC+ | 1,266,000 | GC+ | 1,290,000 | GC+ |
| | 0.5 | 141,000 | GC+ | 138,000 | GC+ | 123,000 | GC+ |
{4}
| 799 | 500 | 6,031,000 | GC+ | 5,852,000 | GC+ | 5,962,000 | GC+ |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 50 | 3,781,000 | GC+ | 4,310,000 | GC+ | 4,293,000 | GC+ |
| | 5 | 820,000 | GC+ | 936,000 | GC+ | 1,053,000 | GC+ |
| | 0.5 | 52,000 | GCe | 65,000 | GCe | 102,000 | GC+ |
| 800 | 500 | 6,080,000 | GC+ | 6,221,000 | GC+ | 6,182,000 | GC+ |
| | 50 | 4,931,000 | GC+ | 4,733,000 | GC+ | 5,191,000 | GC+ |
| | 5 | 1,748,000 | GC+ | 1,992,000 | GC+ | 1,962,000 | GC+ |
| | 0.5 | 229,000 | GC+ | 198,000 | GC+ | 202,000 | GC+ |
| 801 | 500 | 5,485,000 | GC+ | 5,524,000 | GC+ | 5,834,000 | GC+ |
| | 50 | 3,570,000 | GC+ | 3,765,000 | GC+ | 3,909,000 | GC+ |
| | 5 | 504,000 | GC+ | 445,000 | GC+ | 444,000 | GC+ |
| | 0.5 | 44,000 | GC- | 94,000 | GCe | 28,000 | GC- |
| 802 | 500 | 5,911,000 | GC+ | 5,916,000 | GC+ | 6,050,000 | GC+ |
| | 50 | 4,350,000 | GC+ | 4,248,000 | GC+ | 4,107,000 | GC+ |
| | 5 | 987,000 | GC+ | 870,000 | GC+ | 957,000 | GC+ |
| | 0.5 | 65,000 | GCe | 49,000 | GC- | 127,000 | GC+ |
| 806 | 500 | 5,071,000 | GC+ | 5,194,000 | GC+ | 5,150,000 | GC+ |
| | 50 | 2,710,000 | GC+ | 2,408,000 | GC+ | 2,178,000 | GC+ |
| | 5 | 242,000 | GC+ | 178,000 | GC+ | 148,000 | GC+ |
| | 0.5 | 16,000 | GC- | 15,000 | GC- | 26,000 | GC- |
| 813 | 500 | 5,864,000 | GC+ | 5,841,000 | GC+ | 5,664,000 | GC+ |
| | 50 | 4,117,000 | GC+ | 4,345,000 | GC+ | 4,650,000 | GC+ |
| | 5 | 1,184,000 | GC+ | 1,343,000 | GC+ | 1,151,000 | GC+ |
| | 0.5 | 81,000 | GCe | 127,000 | GC+ | 130,000 | GC+ |
| 827 | 500 | 6,228,000 | GC+ | 6,145,000 | GC+ | 5,946,000 | GC+ |
| | 50 | 4,764,000 | GC+ | 4,781,000 | GC+ | 4,503,000 | GC+ |
| | 5 | 1,373,000 | GC+ | 1,341,000 | GC+ | 1,059,000 | GC+ |
| | 0.5 | 152,000 | GC+ | 117,000 | GC+ | 115,000 | GC+ |
| 3043 | 500 | 6,164,000 | GC+ | 6,263,000 | GC+ | 6,319,000 | GC+ |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 50 | 4,122,000 | GC+ | 3,313,000 | GC+ | 3,431,000 | GC+ |
| | 5 | 488,000 | GC+ | 527,000 | GC+ | 571,000 | GC+ |
| | 0.5 | 60,000 | GCe | 107,000 | GC+ | 91,000 | GCe |
| 3045 | 500 | 6,041,000 | GC+ | 6,239,000 | GC+ | 6,297,000 | GC+ |
| | 50 | 4,550,000 | GC+ | 4,539,000 | GC+ | 4,307,000 | GC+ |
| | 5 | 605,000 | GC+ | 942,000 | GC+ | 891,000 | GC+ |
| | 0.5 | 83,000 | GCe | 117,000 | GC+ | 145,000 | GC+ |
| 3047 | 500 | 6,534,000 | GC+ | 6,466,000 | GC+ | 6,483,000 | GC+ |
| | 50 | 5,214,000 | GC+ | 6,324,000 | GC+ | 5,122,000 | GC+ |
| | 5 | 1,618,000 | GC+ | 1,417,000 | GC+ | 1,685,000 | GC+ |
| | 0.5 | 89,000 | GCe | 124,000 | GC+ | 118,000 | GC+ |
$\mathbf{e} =$ Equivocal Result
# e. Analytical specificity:
Neisseria species were used to evaluate the analytical specificity of the AGC Assay. A total of 47 culture isolates were tested in the liquid Pap media.
{5}
None of the culture isolates produced a positive result in the AGC Assay. See results below:
Table 18.9-01: Specificity of the AGC Assay with PreservCyt Samples
| Specimen ID | Gen-Probe Number | ATCC Number | Concentration Tested/Assay | Rep # | PreservCyt Results RLU |
| --- | --- | --- | --- | --- | --- |
| Neisseria cinerea | 761 | 14685 | 1.6 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria cinerea | CI3051 | | 2.9 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria cinerea | CI4543 | | 1.3 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria cinerea | CI4546 | | 4.9 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria denitrificans | 763 | 14686 | 3.0 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria elongata | CI1502 | 49377 | 1.2 x 10^{9} | 1 | 22,000 |
| | | | | 2 | 22,000 |
| Neisseria elongata | CI1503 | 49378 | 1.2 x 10^{8} | 1 | 22,000 |
| | | | | 2 | 23,000 |
| Neisseria elongata | CI1504 | 49379 | 1.8 x 10^{8} | 1 | 22,000 |
| | | | | 2 | 21,000 |
| Neisseria flava | 1558 | 14221 | 2.5 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria flavescens | CI812 | | 5.0 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria lactamica | 760 | 23970 | 1.1 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria lactamica | CI3013 | | 9.5 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 4,000 |
| Neisseria lactamica | CI3018 | | 1.5 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria lactamica | CI3021 | | 5.0 x 10^{9} | 1 | 22,000 |
| | | | | 2 | 22,000 |
| Neisseria lactamica | CI3022 | | 9.4 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria lactamica | CI3049 | | 2.3 x 10^{10} | 1 | 23,000 |
| | | | | 2 | 22,000 |
| Neisseria lactamica | CI3065 | | 1.5 x 10^{10} | 1 | 21,000 |
| | | | | 2 | 22,000 |
| Neisseria lactamica | CI3067 | | 2.9 x 10^{10} | 1 | 21,000 |
| | | | | 2 | 21,000 |
| Neisseria lactamica | CI834 | | 6.0 x 10^{9} | 1 | 22,000 |
| | | | | 2 | 22,000 |
| Neisseria meningitidis Serogroup A | 755 | 13077 | 4.0 x 10^{10} | 1 | 20,000 |
| | | | | 2 | 19,000 |
| Neisseria meningitidis Serogroup B | 756 | 13090 | 3.1 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria meningitidis Serogroup C | 757 | 13102 | 5.0 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria meningitidis Serogroup C | 1388 | 13109 | 2.9 x 10^{11} | 1 | 3,000 |
| | | | | 2 | 7,000 |
| Neisseria meningitidis Serogroup C | 1389 | 13100 | 8.0 x 10^{10} | 1 | 3,000 |
| | | | | 2 | 3,000 |
{6}
| Neisseria meningitidis Serogroup C | 1390 | 13112 | 2.7 x 10^{6} | 1 | 3,000 |
| --- | --- | --- | --- | --- | --- |
| | | | | 2 | 3,000 |
| Neisseria meningitidis Serogroup D | 401 | 13113 | 1.7 x 10^{11} | 1 | 3,000 |
| | | | | 2 | 2,000 |
| Neisseria meningitidis Serogroup W135 | 1387 | 43744 | 1.6 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria meningitidis Serogroup Y | 787 | 35561 | 3.0 x 10^{10} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria mucosa | 190 | 19696 | 2.4 x 10^{8} | 1 | 20,000 |
| | | | | 2 | 21,000 |
| Neisseria mucosa | 791 | 25999 | 1.3 x 10^{8} | 1 | 4,000 |
| | | | | 2 | 3,000 |
| Neisseria perflava | 1559 | 10555 | 1.0 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria polysaccharea | 1489 | 43768 | 3.0 x 10^{9} | 1 | 20,000 |
| | | | | 2 | 19,000 |
| Neisseria sicca | 272 | 9913 | 5.9 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria sicca | 762 | 29193 | 7.2 x 10^{7} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | CI3113 | | 4.5 x 10^{7} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH1 | | 2.2 x 10^{7} | 1 | 21,000 |
| | | | | 2 | 20,000 |
| Neisseria subflava | NH5 | | 2.4 x 10^{7} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH6 | | 2.7 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH7 | | 1.2 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH8 | | 4.7 x 10^{8} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH11 | | 1.0 x 10^{9} | 1 | 3,000 |
| | | | | 2 | 3,000 |
| Neisseria subflava | NH13 | | 3.0 x 10^{7} | 1 | 22,000 |
| | | | | 2 | 20,000 |
| Neisseria subflava | NH14 | | 4.5 x 10^{7} | 1 | 21,000 |
| | | | | 2 | 20,000 |
| Neisseria subflava | NH15 | | 8.7 x 10^{7} | 1 | 21,000 |
| | | | | 2 | 20,000 |
| Neisseria subflava | NH17 | | 1.1 x 10^{9} | 1 | 21,000 |
| | | | | 2 | 21,000 |
| Neisseria subflava | NH18 | | 5.7 x 10^{7} | 1 | 21,000 |
| | | | | 2 | 21,000 |
| Neisseria subflava | NH20 | | 2.1 x 10^{8} | 1 | 22,000 |
| | | | | 2 | 21,000 |
f. Assay cut-off:
Not Applicable
2. Comparison studies:
a. Method comparison with predicate device:
{7}
Not Applicable
3. Clinical studies:
A prospective multi-center clinical study was conducted to evaluate the use of the PreservCyt transport medium (a component of the ThinPrep 2000 System) as an alternative medium for gynecological specimens for the detection of N. gonorrhoeae by the APTIMA GC Assay. One thousand six hundred forty-seven (1,647) symptomatic and asymptomatic subjects attending OB/GYN, family planning, public health, women's, and STD clinics were enrolled and evaluated in the clinical study. Of these subjects, 1,288 were asymptomatic subjects and 359 were symptomatic subjects (Table 5b). Subjects were enrolled from sites with GC prevalence that ranged from 0.0% to 5.0% (Table 6b).
Two specimens were collected from each eligible subject: one PreservCyt liquid Pap specimen and one endocervical swab specimen. PreservCyt liquid Pap specimens were collected with the spatula/cyto-brush or a broom-like brush cervical sampling device. The distribution of cervical sampling devices is summarized in Table 4 by specimen collection site and overall.
PreservCyt liquid Pap specimens were processed in accordance with the ThinPrep 2000 Processor Operator's Manual and APTIMA SpecimenTransfer Kit package insert. After processing the PreservCyt liquid Pap specimen with the ThinPrep 2000 Processor, the specimen was transferred into the APTIMA Specimen Transfer Kit for testing with the APTIMA GC Assay.
Sensitivity and specificity of the APTIMA GC Assay in PreservCyt liquid Pap specimens were calculated by comparing results to the patient infected status. The algorithm included APTIMA Combo 2 Assay and APTIMA GC Assay results in endocervical swab specimens. Both reference NAATs were required to be positive to establish an infected patient status. At least one reference NAAT was required to be negative to establish a non-infected patient status. The one equivocal result that was obtained from a reference NAAT was considered to be discordant with the investigative assay for the purpose of calculating performance, and thus the patient infected status was categorized as non-infected (n=1). Table 8 summarizes the frequency of test outcomes for the endocervical swab specimens tested with the APTIMA Combo 2 Assay and APTIMA GC Assay.
Table 5b shows the sensitivities and specificities of the APTIMA GC Assay by symptom status and overall. Overall sensitivity was 92.3% (12/13). In symptomatic and asymptomatic subjects, sensitivities were 100% (7/7) and 83.3% (5/6), respectively. Overall specificity was 99.8% (1630/1634). In symptomatic and asymptomatic subjects, specificities were 99.4% (350/352) and 99.8% (1280/1282), respectively.
8
{8}
Table 6b shows the sensitivities and specificities of the APTIMA GC Assay by specimen collection site and overall. Sensitivities ranged from 80.0% to 100%. Specificities ranged from 99.0% to 100%.
Table 4. Distribution of Cervical Sampling Device Used for PreservCyt Solution Liquid Pap Specimens
| Cervical Sampling Device Used | Clinical Collection Site | | | | | | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 1 | 2 | 3 | 4 | 5 | 6 | |
| Spatula/Cytobrush | 0 | 124 | 475 | 287 | 57 | 364 | 1307 |
| Broom-Type Device | 100 | 0 | 0 | 0 | 240 | 0 | 340 |
Table 8. PreservCyt Solution Liquid Pap Specimen Analysis for Patient Infected Status
| Patient Infected Status | Endocervical Swab | | | Symptom Status | |
| --- | --- | --- | --- | --- | --- |
| | APTIMA COMBO 2 Assay | APTIMA GC Assay | | Symptomatic | Asymptomatic |
| Infected | Positive | Positive | | 7 | 6 |
| Non-Infected | Negative | Negative | | 352 | 1276 |
| Non-Infected | Negative | Positive | | 0 | 5 |
| Non-Infected | Equivocal | Positive | | 0 | 1 |
| Total | | | | 359 | 1288 |
{9}
Table 5b. Sensitivity and Specificity of the APTIMA GC Assay Relative to Patient Infected Status by Symptom Status and Overall for PreservCyt Solution Liquid Pap Specimen
| | APTIMA GC PreservCyt Solution Result | +/+ | +/- | -/+ | -/- | Sensitivity (%) (95% CI) | Specificity (%) (95% CI) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Symptomatic | Positive | 7 | 0 | 0 | 2 | 100 (7/7)
(59.0 – 100) | 99.4 (350/352)
(98.0 – 99.9) |
| | Negative | 0 | 0 | 0 | 350 | | |
| | Total | 7 | 0 | 0 | 352 | | |
| Asymptomatic | Positive | 5 | 0 | 1^{1} | 1 | 83.3 (5/6)
(35.9 – 99.6) | 99.8 (1280/1282)
(99.4 – 100) |
| | Negative | 1 | 0 | 5 | 1275 | | |
| | Total | 6 | 0 | 6 | 1276 | | |
| All | Positive | 12 | 0 | 1 | 3 | 92.3 (12/13)
(64.0 – 99.8) | 99.8 (1630/1634)
(99.4 – 99.9) |
| | Negative | 1 | 0 | 5 | 1625 | | |
| | Total | 13 | 0 | 6 | 1628 | | |
+/+ = Positive endocervical swab specimen result in the APTIMA COMBO 2 Assay/Positive endocervical swab specimen result in the APTIMA GC Assay
+/- = Positive endocervical swab specimen result in the APTIMA COMBO 2 Assay/Negative endocervical swab specimen result in the APTIMA GC Assay
-/+ = Negative endocervical swab specimen result in the APTIMA COMBO 2 Assay/Positive endocervical swab specimen result in the APTIMA GC Assay
-/- = Negative endocervical swab specimen result in the APTIMA COMBO 2 Assay/Negative endocervical swab specimen result in the APTIMA GC Assay
1One specimen had a discordant result. Equivocal endocervical swab specimen result in the APTIMA COMBO 2 Assay/Positive endocervical swab specimen result in the APTIMA GC Assay.
{10}
Table 6b. Sensitivity, Specificity and Predictive Values of the APTIMA GC Assay Relative to Patient Infected Status by Clinical Site and Overall for PreservCyt Solution Liquid Pap Specimens
| Site | APTIMA GC PreservCyt Solution Result | +/+ | +/- | -/+ | -/- | Prev (%) | Sensitivity (%) (95% C.I.) | Specificity (%) (95% C.I.) | PPV(%) | NPV(%) |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Positive | 5 | 0 | 0 | 0 | 5.0 | 100 (5/5) (47.8 – 100) | 100 (95/95) (96.2 – 100) | 100 | 100 |
| | Negative | 0 | 0 | 0 | 95 | | | | | |
| | Total | 5 | 0 | 0 | 95 | | | | | |
| 2 | Positive | 1 | 0 | 0 | 0 | 0.8 | 100 (1/1) (2.5 – 100) | 100 (123/123) (97.0 – 100) | 100 | 100 |
| | Negative | 0 | 0 | 0 | 123 | | | | | |
| | Total | 1 | 0 | 0 | 123 | | | | | |
| 3 | Positive | 4 | 0 | 0 | 0 | 1.1 | 80.0 (4/5) (28.4 – 99.5) | 100 (470/470) (99.2 – 100) | 100 | 99.8 |
| | Negative | 1 | 0 | 0 | 470 | | | | | |
| | Total | 5 | 0 | 0 | 470 | | | | | |
| 4 | Positive | 1 | 0 | 0 | 3 | 0.3 | 100 (1/1) (2.5 – 100) | 99.0 (283/286) (97.0 – 99.8) | 25.0 | 100 |
| | Negative | 0 | 0 | 3 | 280 | | | | | |
| | Total | 1 | 0 | 3 | 283 | | | | | |
| 5 | Positive | 0 | 0 | 0 | 0 | 0.0 | N/A | 100 (297/297) (98.8 – 100) | N/A | 100 |
| | Negative | 0 | 0 | 0 | 297 | | | | | |
| | Total | 0 | 0 | 0 | 297 | | | | | |
| 6 | Positive | 1 | 0 | 1^{1} | 0 | 0.3 | 100 (1/1) (2.5 – 100) | 99.7 (362/363) (98.5 – 100) | 50.0 | 100 |
| | Negative | 0 | 0 | 2 | 360 | | | | | |
| | Total | 1 | 0 | 3 | 360 | | | | | |
| ALL | Positive | 12 | 0 | 1 | 3 | 0.8 | 92.3 (12/13) (64.0 – 99.8) | 99.8 (1630/1634) (99.4 – 99.9) | 75.0 | 99.9 |
| | Negative | 1 | 0 | 5 | 1625 | | | | | |
| | Total | 13 | 0 | 6 | 1628 | | | | | |
N/A = not applicable
+/+ = Positive endocervical swab specimen result in the APTIMA COMBO 2 Assay/Positive endocervical swab specimen result in the APTIMA GC Assay
+/- = Positive endocervical swab specimen result in the APTIMA COMBO 2 Assay/Negative endocervical swab specimen result in the APTIMA GC Assay
-/- = Negative endocervical swab specimen result in the APTIMA COMBO 2 Assay/Positive endocervical swab specimen result in the APTIMA GC Assay
+/- = Negative endocervical swab specimen result in the APTIMA COMBO 2 Assay/Negative endocervical swab specimen result in the APTIMA GC Assay
One specimen had a discordant result; Equivocal endocervical swab specimen result in the APTIMA GC Assay
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
The prevalence of *N. gonorrhoeae* disease in patient populations depends on risk factors such as age, gender, the presence of symptoms, the type of clinic, and the test method. A summary of the prevalence of *N. gonorrhoeae* as determined by the
{11}
APTIMA® Assay for Neisseria gonorrhoeae (AGC) results on PreservCyt liquid Pap specimens is shown below by clinical site and overall.
Table 1b. Prevalence of N. gonorrhoeae by Clinical Site and Overall as Determined by APTIMA GC Assay Results Using PreservCyt Liquid Pap Specimens
| Site | % (#positive/#tested) | |
| --- | --- | --- |
| 1 | 5.0 | (5/100) |
| 2 | 0.8 | (1/124) |
| 3 | 0.8 | (4/475) |
| 4 | 1.4 | (4/287) |
| 5 | 0.0 | (0/297) |
| 6 | 0.5 | (2/364) |
| All | 1.0 | (16/1647) |
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.
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.