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Detecting sepsis

A sepsis and detection device technology, applied in the field of sepsis detection, can solve problems such as adverse drug reactions and increased antibiotic resistance

Active Publication Date: 2019-05-03
MOLOGIC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Incorrect antibiotic prescribing increases antibiotic resistance and, in many cases, serious adverse drug reactions

Method used

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  • Detecting sepsis
  • Detecting sepsis
  • Detecting sepsis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0396] Example 1—Using CRP to diagnose sepsis

[0397] Although many new biomarkers for sepsis diagnosis have been investigated and are available in clinical practice, it is necessary to combine them with traditional markers, especially C-reactive protein (CRP), in order to increase sensitivity and specificity. This study compared the diagnostic accuracy of CRP alone and in combination with selected and complementary markers for the diagnosis of sepsis.

[0398] The method used:

[0399] 102 patients with sepsis were diagnosed according to strict clinical criteria, including positive blood cultures (51 Gram-positive, 49 Gram-negative and 2 mixed Gram-positive and Gram-negative organisms) versus 102 without sepsis patients with evidence for comparison. Serum levels of CRP and procalcitonin (PCT), along with seven selected potential markers, were measured. These markers include: two inflammatory cytokines, interleukin-6 (IL-6) and tumor necrosis factor alpha (TNFα); the vas...

Embodiment 2

[0445] Example 2 - UHB Study and Results

[0446] Clinical samples were obtained from a clinical study conducted at the University of Birmingham Hospital and these samples were tested. Sort by sample time:

[0447] A = Registered admission / symptomatic onset

[0448] B = time required for blood culture (BC) *values ​​are in bold (A / B sample number = 44)

[0449] C = BC positive time

[0450] D = Consent time (large volume) = 88 samples

[0451] E = last sample before release = 18 samples

[0452] Control = 102 samples

[0453] Use the following assay methods to detect:

[0454] Mark

Assay type

form

supplier

CRP (C-reactive protein)

ELISA

Sandwich

R&D Systems

CRP (C-reactive protein)

lateral flow

Sandwich

Mologic

sICAM1 (soluble intercellular adhesion molecule 1)

ELISA

Sandwich

R&D Systems

sICAM1 (soluble intercellular adhesion molecule 1)

lateral flow

Sandwich

Mologic

C...

Embodiment 3

[0468] Example 3 - DSTL Study and Results

[0469] 910 samples received were tested in 10 Mologic assays. Samples were collected from patients undergoing elective surgery and collected daily for up to 7 days after surgery. Patients were divided into 3 distinct groups:

[0470] 1. Control group (n=70) those recovered patients without SIRS symptoms

[0471] 2. SIRS group (n=66) those patients who developed SIRS symptoms in 7 days

[0472] 3. Sepsis group (n=70) those patients who developed sepsis in 7 days

[0473] Some samples were missing in cases where the patient refused consent or the study nurse was unable to obtain good venous access, for the sepsis group the focus was on days 1, 2 and 3 before sepsis.

[0474] Difference Between SIRS and Sepsis

[0475] Samples were grouped according to heart rate, respiratory rate, WCC and temperature, among other parameters, according to the SIRS diagnosis defined by DSTL. The first step was to analyze all samples from patients...

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Abstract

A method for predicting sepsis or diagnosing systemic inflammatory response syndrome (SIRS) and / or sepsis in a subject comprises determining levels of at least three markers selected from CCL23, A1AT,CRP, sICAM, PLA2, IL-6, procalcitonin, MMP8, TNFalpha, AcPGP, enzymatic MMP activity, TIMP1, sRAGE and desmosine in a sample taken from the subject. The combined levels of the at least three markersare used to predict or diagnose SIRS and / or sepsis. The methods may be performed on a subject with SIRS and which is used to identify an infection in the subject. A preferred panel of markers includesCCL23, A1AT, sICAM, slCAM / VCAM-1 and CRP. Corresponding products, methods of treatment and medical uses are provided.

Description

technical field [0001] The present invention relates to the identification of markers for the prediction or diagnosis of systemic inflammatory response syndrome and sepsis. In particular, the invention relates to marker monitoring measurements at multiple time points in subjects undergoing SIRS and septic surgery. Background technique [0002] Sepsis is a major and growing public health problem. The clinical presentation of sepsis makes it difficult to diagnose, especially when distinguished from systemic inflammatory response syndrome (SIRS). Many diagnostic tools (eg, lactate, blood cultures, WBC count, CRP, etc.) are available to help identify sepsis, but they all lack sensitivity and / or specificity. The pressure to start sepsis treatment as early as possible before a diagnosis is made (since the risk of death increases with each hour of delay before starting treatment) can lead to inappropriate use of broad-spectrum antibiotics, which can take up to 72 hours. Rapid de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68
CPCG01N2800/26G01N33/6893G01N2333/521G01N2333/525G01N2333/5412G01N2333/585G01N2333/81G01N2333/918G01N2333/96486G01N2800/52
Inventor 戴维斯·保罗帕雷肯·吉塔邓斯顿·克里斯
Owner MOLOGIC LTD
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