Your browser doesn't support javascript.
loading
Real-time IP-10 measurements as a new tool for inflammation regulation within a clinical decision support protocol for managing severe COVID-19 patients
Shaul Lev; Tamar Gottesman; Gal Sahaf Levin; Doron Lederfein; Evgeny Berkov; Dror Diker; Aliza Zaidman; Amir Nutman; Tahel Ilan Ber; Alon Angel; Lior Kellerman; Eran Barash; Roy Navon; Olga Boico; Yael Israeli; Michal Rosenberg; Amir Gelman; Roy Kalfon; Einav Simon; Noa Avni; Mary Hainrichson; Oren Zarchin; Tanya M. Gottlieb; Kfir Oved; Eran Eden; Boaz Tadmor.
Afiliação
  • Shaul Lev; Intensive Care Unit, Rabin Medical Center, Hasharon, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel
  • Tamar Gottesman; Intensive Care Unit, Rabin Medical Center, Hasharon, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel
  • Gal Sahaf Levin; Intensive Care Unit, Rabin Medical Center, Hasharon, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel
  • Doron Lederfein; Internal Medicine, Rabin Medical Center, Hasharon, Petah Tikva, Israel
  • Evgeny Berkov; Internal Medicine, Rabin Medical Center, Hasharon, Petah Tikva, Israel
  • Dror Diker; Internal Medicine, Rabin Medical Center, Hasharon, Petah Tikva, Israel
  • Aliza Zaidman; Internal Medicine, Rabin Medical Center, Hasharon, Petah Tikva, Israel
  • Amir Nutman; National Institute for Infection Control and Antibiotic Resistance, Tel Aviv Medical Centre, Tel-Aviv, Israel
  • Tahel Ilan Ber; MeMed, Israel
  • Alon Angel; MeMed, Israel
  • Lior Kellerman; MeMed, Israel
  • Eran Barash; MeMed, Israel
  • Roy Navon; MeMed, Israel
  • Olga Boico; MeMed, Israel
  • Yael Israeli; MeMed, Israel
  • Michal Rosenberg; MeMed, Israel
  • Amir Gelman; MeMed, Israel
  • Roy Kalfon; MeMed, Israel
  • Einav Simon; MeMed, Israel
  • Noa Avni; MeMed, Israel
  • Mary Hainrichson; MeMed, Israel
  • Oren Zarchin; MeMed, Israel
  • Tanya M. Gottlieb; MeMed, Israel
  • Kfir Oved; MeMed, Israel
  • Eran Eden; MeMed, Israel
  • Boaz Tadmor; Intensive Care Unit, Rabin Medical Center, Hasharon, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20158782
ABSTRACT
The challenge of treating severely ill COVID-19 patients is particularly great due to the need to simultaneously manage oxygenation and the inflammatory state without compromising viral clearance. Currently, there are many tools to aid in oxygen management and in monitoring viral replication. However, predictive biomarkers for monitoring the host immune response across COVID-19 disease stages and specifically, for titrating immunomodulatory therapy are lacking. We utilized a recently cleared platform (MeMed Key) that enables rapid and easy serial measurement of IP-10, a host protein implicated in lung injury due to viral-induced hyperinflammation. A dynamic clinical decision support protocol was employed for managing SARS-CoV-2 positive patients admitted to a COVID-19 dedicated medical center run by Clalit Health Services. This is the first protocol to include real-time measurements of IP-10 as a potential aid for regulating inflammation. Overall, 502 serial real-time IP-10 measurements were performed on 52 patients recruited between 7th April 2020 to 10th May 2020, with 12 patients admitted to the intensive care unit (ICU). IP-10 levels correlated with increased COVID-19 severity score and ICU admission. Within the ICU admitted patients, the number of days with IP-10 measurements >1,000 pg/ml was associated with mortality. Upon administration of corticosteroid immunomodulatory therapy, a significant decrease in IP-10 levels was observed. Real-time IP-10 monitoring represents a new tool to aid in management and therapeutic decisions relating to the inflammatory status of COVID-19 patients.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
...