3-Panel Drug Test (Strip) (BAR,MAD,PCP) (DTS286)

Regulatory status: For research use only, not for use in diagnostic procedures.

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Sample
urine
Intended Use
All of DOA Panel Drug Test is an immunochromatography based one step in vitro test. It is designed for qualitative determination of drug substances in human urine specimens. This assay may be used in the point of care setting. Below is a list of cut-off concentrations for each drug using our test.
Storage
The test device should be stored at 2 to 30°C and will be effective until the expiration date stated on the package. The product is humidity-sensitive and should be used immediately after being open. Any improperly sealed product should be discarded.
Sensitivity
The cut-off concentrations (sensitivity level) of DOA Panel Drug Test are determined to be: AMP 1000 ng/ml, BAR, 300 ng/ml, BZO 300 ng/ml, BUP 10 ng/ml, COC 300 ng/ml, EDDP 100 ng/ml, KET 1000 ng/ml, MTD 300 ng/ml, MET 1000 ng/ml, MDMA 500 ng/ml, OPI 300

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References


Rasmussen aneurysm in a patient from the Ukraine: A diagnostic challenge

TRAVEL MEDICINE AND INFECTIOUS DISEASE

Authors: Jaspard, M.; Le Pimpec-Barthes, F.; Caumes, E.

A patient diagnosed with multi-drug resistant tuberculosis presented with a massive haemoptysis linked to a Rasmussen aneurysm. Failure to occlude the feeding artery via coil embolization was successfully managed with lung surgery.

A study on transmission dynamics of the emerging Candida Auris infections in Intensive Care Units: Optimal control analysis and numerical computations

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Authors: Shyni, U. K.; Lavanya, R.

The emerging multi-drug resistant super yeast Candida Auris, has become an alarming cause of nosocomial invasive infections across the world over the recent years. The ability of Candida Auris to survive and grow at elevated temperatures and its high probability of misidentification in the routine clinical laboratories pose a serious challenge at health care facilities. In this paper, we formulate a new mathematical model for Candidia Auris infections at critical care facilities of various public sector and private sector hospitals. We first investigate the stability of the model for the infection free equilibrium by calculating the basic reproduction number followed by the analysis of the optimality of contact precaution and isolation as control strategies. The mathematical expressions of optimal control are obtained by Pontryagin's Minimum Principle. The graphical representation of the outcome of numerical simulation reveals that by adhering to strict contact precaution guidelines and timely isolation of colonized patients, the spread of Candida auris infections can be prevented and controlled to great extent at health care settings. (c) 2020 Elsevier B.V. All rights reserved.

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