Biomarkers of Inflammation and Inflammation-Related Indexes upon Emergency Department Admission Are Predictive for the Risk of Intensive Care Unit Hospitalization and Mortality in Acute Poisoning: A 6-Year Prospective Observational Study.
Catalina LionteCristina BologaVictoriţa ŞorodocOvidiu Rusalim PetrisGabriela PuhaAlexandra StoicaAlexandr CeasovschihElisabeta JabaLaurentiu SorodocPublished in: Disease markers (2021)
Patients poisoned with drugs and nonpharmaceutical substances are frequently admitted from the emergency department (ED) to a medical or ICU department. We hypothesized that biomarkers of inflammation and inflammation-related indexes based on the complete blood cell (CBC) count can identify acutely poisoned patients at increased risk for ICU hospitalization and death. We performed a 6-year prospective cohort study on 1548 adult patients. The demographic data, the levels of hs-CRP (high-sensitivity C-reactive protein), CBC, and inflammation-related indexes based on CBC counts were collected upon admission and compared between survivors and nonsurvivors, based on the poison involved. Both a multivariate logistic regression model with only significant univariate predictors and a model including univariate predictors plus each log-transformed inflammation-related indexes for mortality were constructed. The importance of the variables for mortality was graphically represented using the nomogram. hs-CRP (odds ratio (OR), 1.38; 95% CI, 1.16-1.65, p < 0.001 for log-transformed hs-CRP), red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were significantly associated with the risk of ICU hospitalization, after multivariable adjustment. Only RDW, NLR, and monocyte-lymphocyte ratio (MLR) were significantly associated with mortality. The predictive accuracy for mortality of the models which included either NLR (AUC 0.917, 95% CI 0.886-0.948) or MLR (AUC 0.916, 95% CI 0.884-0.948) showed a high ability for prognostic detection. The use of hs-CRP, RDW, NLR, and MLR upon ED admission are promising screening tools for predicting the outcomes of patients acutely intoxicated with undifferentiated poisons.
Keyphrases
- emergency department
- intensive care unit
- oxidative stress
- cardiovascular events
- end stage renal disease
- peripheral blood
- ejection fraction
- newly diagnosed
- mechanical ventilation
- risk factors
- chronic kidney disease
- prognostic factors
- young adults
- endothelial cells
- peritoneal dialysis
- cell therapy
- dendritic cells
- single cell
- wastewater treatment
- coronary artery disease
- type diabetes
- cardiovascular disease
- healthcare
- patient reported outcomes
- machine learning
- weight loss
- stem cells
- drinking water
- tertiary care
- big data
- respiratory failure
- acute respiratory distress syndrome
- patient reported
- artificial intelligence
- extracorporeal membrane oxygenation
- squamous cell carcinoma
- data analysis
- aortic dissection
- glycemic control
- label free