FDA record research

Adjunctive Epicardial Vascular Physiologic Status Indicator (QXZ) — FDA decisions, comparisons and evidence

The 2021–2025 analysis contains 1 selected substantially-equivalent FDA decisions under primary product code QXZ. Use it to compare documented submissions and evidence with your product. A separate 2026 update contains 0 decisions through 2026-09-27. The latest selected decision across the acquired endpoint is dated 2023-09-08. Neither set establishes a suitable predicate or the route for your device. The complete-year window has 1 decisions; the separate all-observed-date count is 1. These denominators describe different date ranges.

Evidence retrieved 2026-10-07. Source versions and topic-specific limits are listed below.

Recorded scope and its declared regulatory reference

An exact FDA-record regulation_number match to one acquired Title 21 section. Records with the same normalized scope definition, class, regulation and recorded submission/GMP flags are grouped. Sparse definitions and generic exemption boilerplate do not qualify. No text-similarity equivalence or legal applicability is inferred.

What scope does the FDA record describe?

The adjunctive epicardial vascular physiologic status indicator is a prescription device based on sensor technology or image data to provide information to an interpreting clinician in detecting the possible presence of functionally significant coronary artery disease to suggest the need for further testing. This device is intended for adjunctive use with other clinical workup or patient information and is not intended to quantify the degree to which epicardial disease is limiting flow through a vessel nor is it intended to independently direct therapy.

Compare the proposed indication, user, anatomy, technology and operating principle with this actual scope; record differences and unresolved facts.

Cited source

Which current section does the record cite?

§ 870.2200 Adjunctive cardiovascular status indicator. (a) Identification. The adjunctive cardiovascular status indicator is a prescription device based on sensor technology for the measurement of a physical parameter(s). This device is intended for adjunctive use with other physical vital sign parameters and patient information and is not intended to independently direct therapy. (b) Classification. Class II (special controls). The special controls for this device are: (1) Software description, verification, and validation based on comprehensive hazard analysis must be provided, including: (i) Full characterization of technical parameters of the software, including any proprietary algorithm(s); (ii) Description of the expected impact of all applicable sensor acquisition hardware characteristics on performance and any associated hardware specifications; (iii) Specification of acceptable incoming sensor data quality control measures; and (iv) Mitigation of impact of user error or failure of any subsystem components (signal detection and analysis, data display, and storage) on accuracy of patient reports. (2) Scientific justification for the validity of the status indicator algorithm(s) must be provided. Verification of algorithm calculations and validation testing of the algorithm using a data set separate from the training data must demonstrate the validity of modeling. (3) Usability assessment must be provided to demonstrate that risk of misinterpretation of the status indicator is appropriately mitigated. (4) Clinical data must be provided in support of the intended use and include the following: (i) Output measure(s) must be compared to an acceptable reference method to demonstrate that the output measure(s) represent(s) the predictive measure(s) that the device provides in an accurate and reproducible manner; (ii) The data set must be representative of the intended use population for the device. Any selection criteria or limitations of the samples must be fully described and justified; (iii) Agreement of the measure(s) with the reference measure(s) must be assessed across the full measurement range; and (iv) Data must be provided within the clinical validation study or using equivalent datasets to demonstrate the consistency of the output and be representative of the range of data sources and data quality likely to be encountered in the intended use population and relevant use conditions in the intended use environment. (5) Labeling must include the following: (i) The type of sensor data used, including specification of compatible sensors for data acquisition; (ii) A description of what the device measures and outputs to the user; (iii) Warnings identifying sensor reading acquisition factors that may impact measurement results; (iv) Guidance for interpretation of the measurements, including warning(s) specifying adjunctive use of the measurements; (v) Key assumptions made in the calculation and determination of measurements; (vi) The measurement performance of the device for all presented parameters, with appropriate confidence intervals, and the supporting evidence for this performance; and (vii) A detailed description of the patients studied in the clinical validation ( e.g., age, gender, race/ethnicity, clinical stability) as well as procedural details of the clinical study. [82 FR 35067, July 28, 2017]

Read the identification, classification, conditions and referenced limitations in the cited section. A numeric reference match is not a buyer classification or exemption determination.

Cited source

Historical FDA comparison

2021–2025: five complete calendar years

Primary code QXZ

All statistics in this section use decisions dated 2021-01-01 to 2025-12-31. The partial 2026 update below is excluded from these distributions.

1Selected decisions in these five years
WithheldMedian receipt-to-decision calendar days
1Valid date pairs in the distribution

There are 1 valid recent date pairs. Distribution summaries require at least 20; older records are not substituted for a current benchmark.

20210
20220
20231
20240
20250

Statistical source: FDA openFDA 510(k) decision dataset. Partition 1 Download the identified records and dates (CSV).

Filters, exclusions and reproducible calculation

Deduplicate by official submission ID across the complete current manifest partitions. Select exact primary product code, K-number format and the stated SE decision codes with valid dates. Recent distributions use the five complete calendar years preceding the latest valid endpoint decision year. Partial-year counts compare equal January-to-cutoff periods. Quartiles use linear interpolation at (n-1)*p and are withheld below 20 valid date pairs. The analysis n describes only its declared complete-year window; selected_se_n separately counts all selected recorded dates through the cutoff.

1 selected records across all observed dates; 0 other/invalid identifier or decision-date records excluded. 0 missing or invalid date pairs in the five-year window.

Date fields: date_received → decision_date. Quantiles: Hyndman–Fan type 7: linear interpolation at (n − 1) × p; displayed to one decimal; n ≥ 20 valid pairs.

Receipt-to-decision calendar elapsed time includes time outside active FDA review; it is not FDA review time, a promised project timeline or an estimate of future clearance. This selected recorded cohort does not include all applications or establish a success probability, predicate suitability, market size, current market availability or legal authorization for another product.

Calculation fda-buyer-research-3 · database cutoff 2026-09-27. CSV rows identify each official K-number, cohort, date pair, exclusion reason and source version.

Separate partial-year update

2026 decisions through 2026-09-27

0 selected decisions from 2026-01-01 to 2026-09-27. The equivalent previous-year period contains 0 decisions through 2025-09-27. These counts describe the records; they are not market growth or submission success rates.

Named records to investigate

Latest decisions across the database

These dated records may come from 2026 or earlier years. They are a separate investigation list, not the five-year statistical cohort. Compare the actual indications and technology before considering a record as a comparator.

Official record / deviceRecorded applicantDecisionRecorded typeCalendar days
K231335 ↗Cleerly ISCHEMIACleerly, Inc.2023-09-08Traditional123

Supporting documents actually acquired

Go beyond the database row

Read the source context, then compare the evidence with your design. Topic locations below are text matches, including possible limitations or negative statements; they are not a mandatory test list.

K231335 · official summary PDF ↗

The documents are a bounded sample of acquired summaries, not complete evidence coverage of the cohort.

Recorded classification context

Known context: US. Match the intended use and design with the recorded category before treating it as applicable.

Source factRecorded value
FDA product codeQXZ [1]
Generic device categoryAdjunctive Epicardial Vascular Physiologic Status Indicator [1]
Recorded scopeThe adjunctive epicardial vascular physiologic status indicator is a prescription device based on sensor technology or image data to provide information to an interpreting clinician in detecting the possible presence of functionally significant coronary artery disease to suggest the need for further testing. This device is intended for adjunctive use with other clinical workup or patient information and is not intended to quantify the degree to which epicardial disease is limiting flow through a vessel nor is it intended to independently direct therapy. [1]
Recorded class2 [1]
Regulation870.2200 [1]
Medical specialtyCardiovascular [1]

Build a comparison that explains the differences

Use this checklist to gather your business or product details before speaking with a specialist. The items below explain what to record and suggest useful supporting documents. You can add your own answers in the editable project brief.

  1. Which specific part of the recorded scope fits or differs?

    Put your proposed label and design beside the quoted definition. Record matching facts, differences and missing facts separately; naming the category alone cannot resolve scope.

    Useful evidence: Proposed indication/design and a definition-to-product comparison with source locators.

  2. Have the cited section and its limitations been reviewed?

    Record the applicable paragraph, conditions and cross-referenced limitations after specialist review. Keep a claimed exemption separate from actual establishment, listing and quality-system responsibilities.

    Useful evidence: Dated classification/route rationale and the current provisions relied on, with unresolved conditions.

  3. Compare your intended use with a named decision

    Choose a named record above. Put your proposed claim beside its actual indications-for-use statement. Record different patients, users, anatomy, settings and output claims; do not treat a shared code as proof of equivalence.

    Useful evidence: Your draft indications for use + the selected official summary and its exact page.

  4. Explain the technology and evidence differences

    For each comparison, record the different materials, hardware, software functions and operating conditions. Link each difference to existing evidence or an unresolved evaluation task.

    Useful evidence: A three-column matrix: comparator fact / your design fact / evidence or unresolved gap.

  5. Prepare a scope-based schedule without a sparse timing benchmark

    This recent cohort has fewer than 20 valid date pairs, so it supplies no median or percentile benchmark. Ask for a schedule based on actual preparation, evidence gaps, interactions and response assumptions; keep any historical decision context separately dated.

    Useful evidence: Document/test readiness, unresolved route/evidence tasks and the assumptions behind the specialist’s proposed sequence.

Work packages and dependencies

What needs to happen first

Questions for providers

Sources and data dates

Read the official document in context. The audit details identify the precise locators and preserved versions used for this page.

FDA openFDA — device classification records ↗

2026-10-05 · retrieved 2026-10-06

Audit details: precise locators and snapshot identifiers

Source key D01 · snapshot 936de5f5d47b9293b702fc32512a79173969fb788c74a63d9b91abe73f3b86a5

  • [1] device-classification-0001-of-0001.json:results[6795] · record ae90447de41e812d3f511c58c4b2928b0b96ab4d586ac9a2b741d6a80cdb1ba2

FDA 510(k) summary — K231335 ↗

Sat, 09 Sep 2023 20:35:04 GMT · retrieved 2026-10-07

Audit details: precise locators and snapshot identifiers

Source key D02 · snapshot 27ea9ab836c68f4b87de7e1dbce05d447052ee8a195f4259933f69fbdec05b31

  • [2] PDF page 6 · record 8515de7c32b7fc60d2608de6294bb9e07975aed807334fc21ec0fb07cf61d570
  • [3] PDF page 9 · record 9e5454cd79de79b59fabc2db711f76db31381c74d04caceb4612bceee60047a6

Prepare an editable project brief

Confirm the facts, scope and contact preference before sharing your project. Preparing this page sends no provider outreach.

Choose work packages to discuss

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