The association between the neutrophil to lymphocyte ratio and in-hospital mortality among sepsis patients: A prospective study.

The Neutrophil to lymphocyte ratio (NLR) was shown to be associated with disease severity, poor prognosis and increased mortality in sepsis. However, the association between NLR and sepsis prognosis remains controversial. Our study aims to prospectively examine the prognostic ability of NLR in predicting in-hospital mortality among sepsis patients and determine the optimal cutoff of NLR that can most accurately predict in-hospital mortality in sepsis patients. This study was a prospective cohort study that included adult sepsis patients that presented to the emergency department of a tertiary care center between September 2018 and February 2021. Receiver operating characteristic curve was used to determine the optimal cutoff of the neutrophil to lymphocyte ratio that predicts in-hospital mortality. Patients were divided into 2 groups: above and below the optimal cutoff. Stepwise logistic regression was performed to assess the magnitude of the association between NLR and in-hospital mortality. A total of 865 patients were included in the study. The optimal cutoff for the neutrophil to lymphocyte ratio that predicts in-hospital mortality was found to be 14.20 with a sensitivity of 44.8% and a specificity of 65.3% (with PPV = 0.27 and NPV = 0.80). The area under the curve for the ratio was 0.552 with a 95% confidence intervals = [0.504-0.599] with a P value = .03. Patients that have a NLR above the cutoff were less likely to survive with time compared to patients below the cutoff based on the Kaplan-Meier curves. In the stepwise logistic regression, the optimal neutrophil to lymphocyte ratio cutoff was not associated with in-hospital mortality (odds ratios = 1.451, 95% confidence intervals = [0.927-2.270], P = .103). In conclusion the optimal cutoff of the NLR that predicts in-hospital mortality among sepsis patients was 14.20. There was no association between the NLR and in-hospital mortality in sepsis patients after adjusting for confounders. Further studies with a larger sample size should be done to determine the optimal NLR cutoff and its prognostic role in septic patients (in-hospital mortality and other clinically significant outcomes).

The prognostic value of biomarker levels and chest imaging in patients with COVID-19 presenting to the emergency department.

INTRODUCTION: We aimed to compare the prognostic value of a quantitative CT severity score with several laboratory parameters, particularly C-reactive protein, Procalcitonin, Neutrophil to lymphocyte ratio, D-dimer, ferritin, lactate dehydrogenase, lactate, troponin and B-type Natriuretic Peptide in predicting in-hospital mortality. METHODS: This was a retrospective chart review study of COVID-19 patients who presented to the Emergency Department of a tertiary care center between February and December 2020. All patients ≥18 years old who tested positive for the COVID-19 real-time reverse transcriptase polymerase chain reaction and underwent CT imaging at presentation were included. The primary outcome was the prognostic ability of CT severity score versus biomarkers in predicting in-hospital mortality. RESULTS: The AUCs were: D-dimer (AUC: 0.67 95% CI = 0.57-0.77), CT severity score (0.66, 95% CI = 0.55-0.77), LDH (0.66, 95% CI = 0.55-0.77), Pro-BNP (0.65, 95% CI = 0.55-0.76), NLR (0.64, 95% CI = 0.53-0.75) and troponin (0.64, 95% CI = 0.52-0.75). In the stepwise logistic regression, age (OR = 1.07 95% CI = 1.05-1.09), obesity (OR = 2.02 95% CI = 1.25-3.26), neutrophil/lymphocyte ratio (OR = 1.02 95% CI = 1.01-1.04), CRP (OR = 1.01 95% CI = 1.004-1.01), lactate dehydrogenase (OR = 1.003 95% CI = 1.001-1.004) and CT severity score (OR = 1.17 95% CI = 1.12-1.23) were significantly associated with in-hospital mortality. CONCLUSION: In summary, CT severity score outperformed several biomarkers as a prognostic tool for covid related mortality. In COVID-19 patients requiring lung imaging, such as patients requiring ICU admission, patients with abnormal vital signs and those requiring mechanical ventilation, the results suggest obtaining and calculating the CT severity score to use it as a prognostic tool. If a CT was not performed, the results suggest using LDH, CRP or NLR if already done as prognostic tools in COVID-19 as these biomarkers were also found to be prognostic in COVID-19 patients.

Comparing the demographic data and outcomes of septic shock patients presenting to teaching or non-teaching metropolitan hospitals in the United States.

BACKGROUND: Studies looking at the effect of hospital teaching status on septic shock related in-hospital mortality are lacking. The aim of this study was to examine the effect of hospital teaching status on mortality in septic shock patients in the United States. METHODS: This was a retrospective observational study, using the Nationwide Emergency Department Sample Database (released in 2018). All patients with septic shock were included. Complex sample logistic regression was performed to assess the impact of hospital teaching status on patient mortality. RESULTS: A total of 388,552 septic shock patients were included in the study. The average age was 66.93 years and 51.7% were males. Most of the patients presented to metropolitan teaching hospitals (68.2%) and 31.8% presented to metropolitan non-teaching hospitals. Septic shock patients presenting to teaching hospitals were found to have a higher percentage of medical comorbidities, were more likely to be intubated and placed on mechanical ventilation (50.5% vs. 46.9%) and had a longer average length of hospital stay (12.47 d vs. 10.20 d). Septic shock patients presenting to teaching hospitals had greater odds of in-hospital mortality compared to those presenting to metropolitan non-teaching hospitals (adjusted odd ratio [OR]=1.295, 95% confidence interval [CI]: 1.256-1.335). CONCLUSION: Septic shock patients presenting to metropolitan teaching hospitals had significantly higher risks of mortality than those presenting to metropolitan non-teaching hospitals. They also had higher rates of intubation and mechanical ventilation as well as longer lengths of hospital stay than those in non-teaching hospitals.