Your browser doesn't support javascript.
Utility of the HScore for Predicting COVID-19 Severity.
Hannah, William; Shadiack, Anthony; Markofski, Melissa; Dao, Kevin; Shaw, Eric; Odum, Craig; Parisio-Poldiak, Nayda; Finer, Alexis; Flynn, Mike.
  • Hannah W; Graduate Medical Education, Memorial Health University Medical Center, Savannah, USA.
  • Shadiack A; Family Medicine, Grand Strand Medical Center, Myrtle Beach, USA.
  • Markofski M; Health and Human Performance, University of Houston, Houston, USA.
  • Dao K; Internal Medicine, Grand Strand Medical Center, Myrtle Beach, USA.
  • Shaw E; Graduate Medical Education, Memorial Health University Medical Center, Savannah, USA.
  • Odum C; Graduate Medical Education, Coliseum Medical Centers, Macon, USA.
  • Parisio-Poldiak N; Graduate Medical Education, Grand Strand Medical Center, Hospital Corporation of America (HCA) Healthcare, Myrtle Beach, USA.
  • Finer A; Data Analytics, Optum, Eden Prairie, USA.
  • Flynn M; Graduate Medical Education, Hospital Corporation of America (HCA) Healthcare, Charleston, USA.
Cureus ; 14(11): e31969, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2241310
ABSTRACT

BACKGROUND:

Cytokine release syndrome is a life-threatening condition known to cause fever and multiple organ dysfunction and is suspected to be related to the severity of coronavirus disease 2019 (COVID-19). We sought to examine the utility of the HScore and non-cytokine markers of inflammation for predicting COVID-19 outcomes. We hypothesized that cytokine storm, assessed by a modified HScore, would be linked to more severe COVID-19 symptoms and higher mortality.

METHODS:

 A retrospective review of records from a large, private hospital system was conducted on patients with hemophagocytic lymphohistiocytosis (HLH) (2014-2019) and compared to a large cohort of COVID-19-positive patients (2020). Patients with a sufficient number of elements in their record for a modified HScore calculation (n=4663), were further subdivided into population 1 (POP1, n=67; HLH, n=493 COVID-19), which had eight HScore elements, and population 2 (POP2) with six available HScore elements (POP2, n=102; HLH, n=4561 COVID-19).

RESULTS:

Modified HScore predicted COVID-19 severity in POP1 and POP2 as measured by higher odds of being on a ventilator (POP2 OR 1.46, CI 1.42-1.5), ICU admission (POP2 OR 1.38, CI 1.34-1.42), a longer length of stay (p<0.0001), and higher mortality (POP2 OR 1.34, CI 1.31-1.39). C-reactive protein (CRP) and white blood cell (WBC) count were the most consistent non-cytokine predictors of COVID-19 severity.

CONCLUSION:

 Cytokine storm, evaluated using a modified HScore, appeared to play a role in the severity of COVID-19 infection, and selected non-cytokine markers of inflammation were predictive of disease severity.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Cureus Year: 2022 Document Type: Article Affiliation country: Cureus.31969

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Cureus Year: 2022 Document Type: Article Affiliation country: Cureus.31969