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Neutrophil-to-Lymphocyte Ratio and Outcomes in Louisiana COVID-19 Patients
- Source :
- Shock (Augusta, Ga.), Shock
- Publication Year :
- 2020
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2020.
-
Abstract
- Supplemental Digital Content is available in the text<br />Background: Due to the rapidly escalating number of cases and the low baseline of overall health in Louisiana, we sought to determine the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) in hospitalized COVID patients in 2 major metropolitan areas with the highest prevalence of cases and exceedingly high rates of obesity and other comorbid conditions. We hypothesized that elevated NLR would be a prognostic indicator of mortality. Methods: This was a review of a prospective registry of adult (18+ years) hospitalized SARS-CoV-2 patients from to two large urban safety net hospitals in Louisiana. Blood cell counts at days 2 and 5 were used to obtain NLR. Receiver operating characteristic (ROC) curve analysis assessed predictive capacity of NLR on mortality. Kaplan-Meier (KM) survival analysis and Cox regression models examined the effect of NLR on survival. Results: The study population of 125 patients was majority African American (88.6%) and female (54.8%) with a mean age and BMI of 58.7 years and 34.2. Most (96.0%) had comorbidities of which hypertension (72.0%), obesity (66.7%), and diabetes (40.0%) were the most common. Mortality was 18.4%. NLR > 4.94 on day 1 predicted intubation (P = 0.02). NLR above established cutoff values on hospital days 2 and 5 each significantly predicted mortality (P
- Subjects :
- obesity
medicine.medical_specialty
Neutrophils
coronavirus
030204 cardiovascular system & hematology
Critical Care and Intensive Care Medicine
03 medical and health sciences
0302 clinical medicine
neutrophil-to-lymphocyte ratio
Internal medicine
Diabetes mellitus
Risk of mortality
Humans
Medicine
Lymphocyte Count
Lymphocytes
Neutrophil to lymphocyte ratio
Clinical Aspects
Survival analysis
SARS-CoV-2
business.industry
Proportional hazards model
fungi
COVID-19
030208 emergency & critical care medicine
medicine.disease
mortality
Comorbidity
inflammation
Predictive value of tests
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Emergency Medicine
Population study
business
Subjects
Details
- ISSN :
- 15400514 and 10732322
- Volume :
- 54
- Database :
- OpenAIRE
- Journal :
- Shock
- Accession number :
- edsair.doi.dedup.....ecaf1e55f4e043e80505b1168cbf169d
- Full Text :
- https://doi.org/10.1097/shk.0000000000001585