SBIR/STTR Research Award

RAPID ELECTROCHEMICAL BIOSENSOR FOR POINT-OF-CARE DIAGNOSIS OF JOINT INFECTION

Award identifier 24b4fa14cf7e1d1e608000eab28fda130df05256026fa682640bced6880c3ea9Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,470,755

Program and phase

SBIR · Phase II

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CLEU DIAGNOSTICS LLC
Proposal award date
2022-02-11
Contract end date
2024-01-31
UEI
XXWEFGFRTJ84
Solicitation number
PA21-259
Topic code
NIAID

Research abstract

Periprosthetic joint infection (PJI) is a devastating complication following total joint replacement (TJR) often with major long-term consequences and morbidity. As many as 100,000 orthopedic infections are diagnosed each year in the US, a number that is expected to rise exponentially. However, the scope of the problem is much larger. Persistent pain is reported in up to 80% of patients after joint surgery, and all painful orthopedic implants require a complete evaluation to rule out the possibility of PJI. Concern for infection is also the single most common reason for patients to present to the emergency department after TJR. Unfortunately, making the diagnosis of infection remains a major challenge, especially since outward clinical signs, such as erythema and swelling, are not specific to PJI. Immediate and accurate diagnoses that also avoid unnecessary overtreatment are critical for favorable outcomes, especially given that PJI management often requires multiple operations and prolonged hospitalization. Nevertheless, underlying infections still commonly go undetected due the nature of existing diagnostics, which are outdated, slow, and imprecise. Problems include the inability to isolate infectious organism(s) in 20-50% of cases (‘culture-negative’), long incubation times required to isolate certain pathogens, and the relatively high incidence of false positives. Alternative diagnostic tools are also limited – either synovial fluid must be transported to a central laboratory for testing or outdated point-of-care (POC) diagnostic technology must still be employed that yields less accurate, binary results (‘infected’ or not). So how should physicians make timely and accurate diagnoses? Our team was the first to discover the diagnostic value of synovial fluid leukocyte esterase (LE), an antimicrobial protease released by activated neutrophils recruited to sites of bacterial infection. Since that discovery, the original LE ‘dipstick’ test (Roche Chemstrip®) has been used by physician to aid in PJI diagnosis with a high diagnostic accuracy of about 89% and a negative predictive value as high as 97%. Nevertheless, the test in its original form designed for urinalysis is impractical for widespread use in orthopedics. The ‘dipstick’ is a dry chemical reagent pad, in which a surface reagent reacts with esterase in the sample to produce a purple dye. The result is read by a clinician based on the degree of color change on the test pad. Unfortunately, lack of objectivity severely limits its clinical reliability. Joint fluid samples must also be centrifuged in an attempt to remove blood and debris that can distort results. Our breakthrough LE test is a POC diagnostic assay that provides a rapid quantitative LE measurement with just a tiny droplet of synovial fluid. Results are immediately available to providers via a mobile app in just 2 minutes to drive clinical decisions. In Phase I, we overcame significant challenges and delivered a highly stable production-ready prototype without signal drift or matrix interference, and designed a low-cost analyzer. Our Phase II goals are to prepare for scale manufacturing of production LE sensors and analyzers, perform master validation to establish product claims for FDA clearance, and conduct a multi-center study to determine real-world diagnostic accuracy of the device in the field.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $1,695,680. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.