Sepsis early detection algorithm receives development funding

The contract will enable Beckman Coulter, in collaboration with Dascena, Inc, to develop and commercialize a novel machine-learning-based sepsis detection algorithm. By combining novel laboratory test parameter values with electronic health record information, the objective for this next-generation analytic algorithm will be to accurately predict and detect sepsis earlier, with the goals of reducing sepsis mortality through earlier intervention and reducing the total cost of care.

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“Sepsis, defined as dysregulated immune response to infection, is a high-priority health concern accounting for the deaths of approximately 250,000 Americans and millions globally each year, and is the most expensive medical condition encountered in most hospitals,” said Elliott Crouser, M.D., of The Ohio State University Wexner Medical Center, and principal investigator in the clinical trial for Beckman Coulter’s Early Sepsis Indicator. “Delays in the detection and treatment of sepsis during its early phases can contribute significantly to adverse outcomes. The objective of this project will be to deliver earlier and more accurate sepsis detection. The resulting predictive analytic algorithm for sepsis detection is expected to have a major global impact.”

The creation of the algorithm is part of DRIVe’s mission to accelerate the development and availability of transformative technologies and approaches to protect Americans from health security threats such as sepsis. Beckman Coulter and Dascena will collaborate in the commercialization of the solution.

“This project integrates the novel laboratory parameters generated on the Beckman Coulter DxH 900 hematology analyzer into Dascena’s best-in-class sepsis prediction and detection algorithm,” said David Persing, M.D., Ph.D., chief scientific officer for the Danaher diagnostics platform. “We aim to leverage the unique ability of the DxH 900 to detect changes in monocyte distribution width and combine the results, along with other diagnostic parameters and vital-sign data, with a multi-modal algorithm expected to achieve unprecedented levels of performance.”

“We are proud to partner with BARDA and to further our shared mission of advancing healthcare by improving early detection for sepsis patients,” said Chris Riley, president of Beckman Coulter Diagnostics. “By combining the power of Beckman Coulter’s Early Sepsis Indicator and Dascena’s capabilities into a digital diagnostic solution, we believe we will facilitate earlier and more effective detection and intervention and help hospital systems counteract this deadly and expensive condition.”

Source: Beckman Coulter

30.10.2019

• early diagnosis (180)
• machine learning (158)
• sepsis (80)

• Beckman Coulter Diagnostics