K101586 · Sorin Group Italia S.R.L. · CAC · Oct 5, 2010 · Anesthesiology
Device Facts
Record ID
K101586
Device Name
XTRA AUTOTRANSFUSION SYSTEM
Applicant
Sorin Group Italia S.R.L.
Product Code
CAC · Anesthesiology
Decision Date
Oct 5, 2010
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 868.5830
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The XTRA Autotransfusion System is indicated for intraoperative recovery of blood, washing of blood collected in the postoperative period, and preoperative sequestration (with indirect patient connection). Typical clinical applications of autotransfusion include the following surgical specialties: Cardiovascular, Orthopedics, Thoracic, Transplant Surgery, Emergency (Trauma), Neurosurgery, Obstetrics and gynecology, and Urology.
Device Story
XTRA Autotransfusion System is an automated device for blood recovery and processing. Hardware includes centrifuge, blood pump, automatic clamps, sensors, and user interface (display/keyboard). Disposables feature simplified installation design. System processes blood via centrifugation and washing; output is processed blood for reinfusion. Used in clinical settings (OR, etc.) by trained personnel. Device automates blood management to reduce need for allogeneic transfusion, potentially benefiting patients by minimizing transfusion-related risks.
Clinical Evidence
Bench testing only. Biocompatibility testing performed per ISO 10993-1 (hemolysis, hemocompatibility, cytotoxicity, reactivity, sensitization, toxicity, mutagenicity, sterility, pyrogenicity). Electrical and electromagnetic compatibility testing conducted. Performance testing confirmed comparability to the predicate device.
Technological Characteristics
Automated autotransfusion system comprising hardware (centrifuge, pump, sensors, UI) and disposable sets. Materials tested per ISO 10993-1. Connectivity includes user interface panel. Sterilization and specific software architecture details not provided.
Indications for Use
Indicated for intraoperative blood recovery, postoperative blood washing, and preoperative sequestration in patients undergoing cardiovascular, orthopedic, thoracic, transplant, emergency/trauma, neurosurgical, obstetric/gynecologic, and urologic procedures.
Regulatory Classification
Identification
An autotransfusion apparatus is a device used to collect and reinfuse the blood lost by a patient due to surgery or trauma.
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| | 510(k) SUMMARY | K101586 |
|----------------------|------------------------------------------------------------------------------------|------------|
| SUBMITTER: | Sorin Group Italia S.r.I.<br>86, Via Statale 12 Nord<br>41037 Mirandola (MO) Italy | |
| CONTACT PERSON: | Luigi Vecchi<br>Phone: 011 39 0535 29811<br>Fax: 011 39 0535 25229 | |
| DATE PREPARED: | June 3, 2010 | OCT 5 2010 |
| DEVICETRADE NAME: | XTRA | |
| COMMON NAME: | Autotransfusion System | |
| CLASSIFICATION NAME: | Apparatus, Autotransfusion | |
| PREDICATE DEVICE: | Dideco ELECTA<br>K020647 | |
# DEVICE DESCRIPTION:
XTRA Autotransfusion System consists of hardware and disposables. It is the next generation of the Sorin autotransfusion device family. The main elements of the hardware include the centrifuge, blood pump, automatic clamps, control and monitoring sensors, and an user interface (display panel and keyboard).
The main modifications to the disposables are the elimination of the bowl snap on bayonet fitting system to fix the device into the centrifuge, the elimination of the silcone bayon inting bystem to and the newly designed system that allows the set up of the disposable set to simplify the installation of disposable.
# INDICATION FOR USE:
INDIOATION CON OOL recovery of blood, washing of the processed blood and preoperative sequestration (with indirect patient connection). Typical clinical applications of autotransfusion include the following surgical specialties: Cardiovascular, Orthopedics, Thoracic, Transplant following "Sarglour" opeolation" "Sansargery, Obstetrics and Gynecology, and Urology.
# TECHNOLOGICAL CHARACTERISTICS:
Sorin makes the claim of substantial equivalence to cited predicates based on intended Oom makes the olain of echnological characteristics, and operational characteristics.
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| XTRA Autotransfusion System | Traditional 510(k) ~ |
|-----------------------------|----------------------|
| Sorin Group Italia S.r.l. | June 3, 2010 |
Sorin Group Italia Srl believes that the XTRA Autotransfusion Svstem is substantially equivalent to the Dideco ELECTA and to other currently marketed automated autotransfusion devices, that any differences are minor, and raise no new issues of safety and effectiveness.
# BIOCOMPATIBILITY TEST RESULTS:
A complete battery of tests was carried out in accordance with the requirements of ISO 10993-1 and the FDA May 1, 1995 Memorandum on the use of the ISO 10993 standard for biocompatibility testing on the raw materials. Testing was performed on the Disposable set of XTRA Autotransfusion System (accelerated aging). The device was tested for Hemolysis, Hemocompatibility, Cytotoxicity, Intracutaneous Reactivity, Sensitization, Acute Systemic Toxicity and Mutagenicity, Sterility, Pyrogenicity, ETO residuals and package integrity testing were also conducted. The results of the testing met established specifications.
## IN VITRO TEST RESULTS:
Testing supplied in the 510(k) premarket notification for the XTRA Autotransfusion System includes electrical testing, electromagnetic compatibility testing, and performance testing that demonstrate compliance with performance specifications. The results of the study showed the device characteristics between XTRA Autotransfusion System and Dideco ELECTA were comparable.
## CONCLUSIONS:
The results of in vitro studies demonstrate that the XTRA Autotransfusion System is substantially equivalent to the predicate device in terms of safety and effectiveness.
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Image /page/2/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized depiction of an eagle or bird-like figure with three wing-like shapes. The bird is positioned within a circular border. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged around the upper portion of the circular border.
## DEPARTMENT OF HEALTH & HUMAN SERVICES
Food and Drug Administration 10903 New Hampshire Avenue Document Mail Center - WO66-G609 Silver Spring, MD 20993-0002
Sorin Group Italia S.r.l. c/o Mr. Barry Sall 195 West Street · Waltham, MA 02451
OCT. 5 2010
Re: K101586
Trade/Device Name: XTRA Autotransfusion System Regulation Number: 21 CFR 868.5830 Regulation Name: Autotransfusion apparatus Regulatory Class: II Product Code: CAC Dated: September 3, 2010 Received: September 7, 2010
Dear Mr. Sall:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate for abounding to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The I va mayy attrerey misions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability adulteration: Trease noter u, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean I least of davisou that I Drivision that your device complies with other requirements of the Act that I DX has made a devel regulations administered by other Federal agencies. You must or any Fedelal statutes and regulations and admited to: registration and listing (21
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Page 2 - Mr. Barry Sall
CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part . 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
suma R. Vc. Aner
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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XTRA Autotransfusion System Sorin Group Italia S.r.I.
Traditional 510(k) June 3, 2010
Device Name: XTRA Autotransfusion System
(K101586)
Indications for Use:
The XTRA Autotransfusion System is indicated for intraoperative recovery of blood, washing of blood collected in the postoperative period, and preoperative sequestration (with indirect patient connection). Typical clinical applications of autotransfusion include the following surgical specialties:
- Cardiovascular
- Orthopedics
- Thoracic
- Transplant Surgery
- Emergency (Trauma)
- Neurosurgery
- Obstetrics and gynecology
- Urology
X Prescription Use _ (Part 21 CFR 801 Subpart D) C)
Over-the-Counter Use AND/OR (21 CFR 807 Subpart
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Dian R. Vilmer
(Division Sign-Off) (Division Sign of Cardiovascular Devices
540(k) Number Kvolts & C
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.