Research Article
Statistical power boost for broadly applicable host immune response-based tools
@INPROCEEDINGS{10.4108/eai.6-12-2021.2314316, author={Niv Samuel Mastboim and Alon Angel and Oded Shaham and Tahel Ilan Ber and Roy Navon and Einav Simon and Michal Rosenberg and Yael Israeli and Mary Hainrichson and Noa Avni and Eran Reiner and Paul Feigin and Kfir Oved and Boaz Tadmor and Pierre Singer and Ilya Kagan and Shaul Lev and Dror Diker and Amir Jarjou’i and Ramzi Kurd and Eli Ben-Chetrit and Guy Danziger and Cihan Papan and Sergey Motov and Ma’anit Shapira and Michal Stein and Adi Klein and Tanya M Gottlieb and Eran Eden}, title={Statistical power boost for broadly applicable host immune response-based tools}, proceedings={Abstracts from the 15th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2021, 6 December 2021, Tel Aviv, Israel}, publisher={EAI}, proceedings_a={PERVASIVEHEALTH - EAI}, year={2022}, month={3}, keywords={statistical framework; disease severity; early prediction of disease progression; covid-19; host immune response}, doi={10.4108/eai.6-12-2021.2314316} }- Niv Samuel Mastboim
Alon Angel
Oded Shaham
Tahel Ilan Ber
Roy Navon
Einav Simon
Michal Rosenberg
Yael Israeli
Mary Hainrichson
Noa Avni
Eran Reiner
Paul Feigin
Kfir Oved
Boaz Tadmor
Pierre Singer
Ilya Kagan
Shaul Lev
Dror Diker
Amir Jarjou’i
Ramzi Kurd
Eli Ben-Chetrit
Guy Danziger
Cihan Papan
Sergey Motov
Ma’anit Shapira
Michal Stein
Adi Klein
Tanya M Gottlieb
Eran Eden
Year: 2022
Statistical power boost for broadly applicable host immune response-based tools
PERVASIVEHEALTH - EAI
EAI
DOI: 10.4108/eai.6-12-2021.2314316
Abstract
COVID-19 is a diversely manifested and potentially deadly disease. This is challenging for patient management and development of evidence-based tools, especially considering SARS-CoV-2 evolution and variable pandemic mitigation strategies. Early detection of COVID-19 progression aids in resource allocation and enables timely escalation of care. MeMed has developed a severity prediction test based on an algorithm combining measurements of three immune proteins, creating a technology-human biology synergy that leverages the immune response. Establishing health system comparability is essential when combining data from multiple COVID-19 sub-cohorts, which separately provide low statistical power. To address this, a framework was constructed assessing two dimensions of poolability: respiratory status and therapeutic management.
