scholarly journals A high neutrophil to lymphocyte ratio at ICU admission is associated with nutritional risk in COVID‐19 patients

Author(s):  
Paula M Martins ◽  
Tatyanne L N Gomes ◽  
Emanoelly P Franco ◽  
Liana L Vieira ◽  
Gustavo D Pimentel
2021 ◽  
Author(s):  
Peiman Foroughi ◽  
Mojtaba Varshochi ◽  
Mehdi Hassanpour ◽  
Meisam Amini ◽  
Behnam Amini ◽  
...  

Abstract Since the outbreak of COVID-19 several studies conducted to identify predictive factors which are associated with prognosis of COVID-19. In this study we aimed to determine whether the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) could help the clinicians to predict intensive care unit (ICU) admission and mortality of COVID-19 patients. This retrospective cohort study involved examining the medical records of 311 Iranian COVID-19 patients from 22 July 2020 to 22 August 2020. All characteristic data and laboratory results were recorded. The receiver operating characteristic (ROC) curve was used to identify the predictive value of studied parameters for ICU admission and death. Comparison of data revealed that some factors were jointly higher in non-survivors and ICU admitted patients than survivors and non-ICU admitted patients, such as: age, hemoglobin (HB), NLR, derived neutrophil-to-lymphocyte ratio (dNLR), PLR, systemic inflammatory index (SII), lactate dehydrogenase (LDH), Respiratory diseases, ischemic heart disease (IHD). Multivariate logistic regression analysis showed that only hypertension (OR 3.18, P=0.02) is an independent risk factor of death in COVID-19 patients, and also PLR (OR 1.02, P=0.05), hypertension (OR 4.00, P=0.002) and IHD (OR 5.15, P=0.008) were independent risk factor of ICU admission in COVID-19 patients. This study revealed that the NLR, PLR, platelet-to-white blood Cell ratio (PWR), dNLR and SII are valuable factors for predicting ICU admission and mortality of COVID-19 patients.


2018 ◽  
Vol 5 (11) ◽  
pp. 3545
Author(s):  
Noor Mohammed Shawnas Bhanou ◽  
Gayatri Balachandran ◽  
Nisha B. Jain

Background: The management of Acute Pancreatitis (AP) is determined by an accurate assessment of severity of the disease. Numerous severity indicators have been described till date, most of which require reassessment after admission and resuscitation. We propose a novel indicator, the Neutrophil to Lymphocyte ratio (NLR), as a predictor of severity of acute pancreatitis at the initial time of diagnosis. NLR may have a role in predicting the length of hospital stay and ICU admission and also to predict adverse manifestations of Severe Acute Pancreatitis (SAP) including organ failure.Methods: A retrospective analysis was performed of 107 patients diagnosed with acute pancreatitis based on Atlanta 2012 definitions, who were admitted and treated between August 2017 and November 2017. The patients were grouped according to severity of acute pancreatitis and organ failure occurrence and a comparative analysis was performed to compare the NLR between groups. NLR was also compared with the modified Marshall score as a standard predictor of organ failure in acute pancreatitis.Results: Median NLR among the severe group is significantly higher compared to mild and moderate group (P <0.001). NLR significantly correlated with length of hospital stay (p 0.004) and also had a statistically significant correlation with ICU stay (p < 0.001). We found in our study that NLR at admission correlated significantly with the modified Marshall score in predicting the organ failure (p <0.001) in patients with acute pancreatitis. The receiver operator characteristic (ROC) curve analysis showed a cut-off values of NLR >8.5 at admission correlated with adverse outcomes in patients with acute pancreatitis.Conclusions: Neutrophil to Lymphocyte ratio (NLR) can be used as a predictor of severity of acute pancreatitis, right at the time of initial diagnosis. Further it may predict adverse outcomes, need for ICU care as well as length of hospital stay. NLR can be used as a tool to refer at risk patients to tertiary center needing ICU admission.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Maiada K. Hashem ◽  
Eman M. Khedr ◽  
Enas Daef ◽  
Aliae Mohamed-Hussein ◽  
Ehab F. Mostafa ◽  
...  

Abstract Background Being highly infectious disease, COVID-19 exhausts most of efficient healthcare systems worldwide. Simple and rapid risk stratification methods are mandatory to recognize severe patients. This study aims to highlight the simple available laboratory biomarkers of good predictive value for COVID-19 severity. Results Three hundred fifty-one COVID-19 positive patients admitted to two University Hospitals between the 1st of June and the 31st of July 2020 were retrospectively collected and classified to severe and non-severe COVID-19 patients according to need for ICU admission. All basic laboratory biomarkers at time of admission were recorded. Of included patients, 145 (41.3%) needed ICU admission. Anemia, leukocytosis, lymphopenia, NLR, and PLR together with liver enzymes, INR, ferritin, CRP, and D-dimer were significantly higher in patients needed ICU admission (p < 0.001). However, by applying multivariate logistic regression, only anemia, high NLR, high PLR, and high D-dimer levels showed significant risk for ICU admission with OR equal 3.6 (95% CI 1.8–7.0), 9.0 (95% CI 3.6–22.6), 3.0 (95% CI 1.3–7.1), and 2.5 (95% CI 1.3–4.7), respectively. Conclusion Anemia, increased neutrophil-to-lymphocyte ratio (> 8), platelet-to-lymphocyte ratio (> 192), and D-dimer level (> 0.9 mg\L) at time of admission could be simple available predictors for severe COVID-19 infection requiring ICU admission.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250067
Author(s):  
Heock Lee ◽  
Insu Kim ◽  
Bo Hyoung Kang ◽  
Soo-Jung Um

Introduction Several serum inflammatory markers are associated with poor clinical outcomes in community-acquired pneumonia (CAP). However, the prognosis and early treatment response in hospitalized CAP patients based on serial neutrophil-to-lymphocyte ratio (NLR) measurement has never been investigated. Methods We performed a retrospective observational study for 175 consecutive patients hospitalized with CAP between February 2016 and February 2018. NLR, C-reactive protein (CRP) and procalcitonin levels were measured on admission day (D1) and on hospital day 4 (D4). The Pneumonia Severity Index (PSI) was also assessed on admission. The primary endpoint was all-cause death within 30 days after admission. The secondary endpoint was early treatment response such as intensive care unit (ICU) admission during hospitalization and clinical unstability on day 4. Results The 30-day mortality rate was 9.7%. In multivariate analysis, NLR D4 (OR: 1.11; 95% CI: 1.04–1.18; P = 0.003) and its incremental change (NLR D4/D1 >1) (OR: 7.10; 95% CI: 2.19–23.06; P = 0.001) were significant predictors of 30-day mortality. NLR D4 and its incremental change were significant predictors of ICU admission and clinical unstability on day 4 in multivariate analyses. Adding of incremental NLR change significantly improved the prognostic ability of the PSI. The additive value of incremental NLR change for the prognostic ability of the PSI was larger than that of incremental CRP change. Conclusion Serial NLR measurement represents useful laboratory tool to predict the prognosis and early treatment response of hospitalized CAP patients.


2022 ◽  
Author(s):  
Zahedin Kheyri ◽  
Sepehr Metanat ◽  
Hadiseh Hosamirudsari ◽  
Samaneh Akbarpour ◽  
Maryam Shojaei ◽  
...  

Several months have passed since the onset of the COVID-19 pandemic. Multiple characteristics have been proposed as prognostic factors so far. This study aims to provide evidence on the association of neutrophil-to-lymphocyte ratio (NLR) at the hospitalization time and three desired outcomes (mortality, prolonged hospitalization, and intensive care unit [ICU] admission). We designed a single-centre retrospective observational study in Baharloo Hospital (Tehran, Iran) from 20 February to 19 April 2020. Patients with confirmed COVID-19 diagnosis via rt-PCR or chest CT imaging were included. Demographic and clinical data were obtained. The sample was divided into three groups, using tertile boundaries of initial NLR. The differences in mortality, comorbidities, hospitalization duration, drug administration, and ICU admission between these three groups were investigated. The identified confounding factors were adjusted to calculate the odds ratio of death, ICU admission, and prolonged hospitalization. Nine hundred sixty-three patients were included. In total, 151 and 212 participants experienced mortality and ICU admission, respectively. In multivariate logistic regression models, the adjusted odds ratio for mortality event in the second and third tertile of initial NLR after full adjustment were 1.89 (95% CI:1.07-3.32) and 2.57 (95% CI:1.48-4.43) and for ICU admission were 1.85 (95% CI:1.14-3.01) and 2.88 (95% CI:1.79-4.61), respectively. The optimal cut-off value of the initial NLR for predicting mortality was 4.27. Initial NLR can predict mortality and ICU admission in COVID-19 patients. Further investigations for curating the calculated cut-off can propose initial NLR as an indicator of poor prognosis for COVID-19 patients.


2015 ◽  
Vol 18 (1) ◽  
pp. 038 ◽  
Author(s):  
Mete Gursoy ◽  
Ece Salihoglu ◽  
Ali Can Hatemi ◽  
A. Faruk Hokenek ◽  
Suleyman Ozkan ◽  
...  

<strong>Background:</strong> Increased blood flow may trigger pulmonary arterial wall inflammation, which may influence progression of pulmonary artery hypertension in patients with congenital heart disease. In this study, we aimed to investigate the correlation between preoperative inflammation markers and pulmonary arterial hypertension. <br /><strong>Methods:</strong> A total of 201 patients with pulmonary hypertension were enrolled in this study retrospectively; they had undergone open heart surgery between January 2012 and December 2013. Patients’ preoperative C-reactive protein (CRP), neutrophil to lymphocyte ratio, red blood cell distribution width, pulmonary pressures, and postoperative outcomes were evaluated.<br /><strong>Results:</strong> Patient age, neutrophil to lymphocyte ratio, red blood cell distribution width, and CRP were found to be significantly correlated with both preoperative peak and mean pulmonary artery pressures. These data were entered into a linear logistic regression analysis. Patient age, neutrophil to lymphocyte ratio, and CRP were found to be independently correlated with peak pulmonary pressure (P &lt; .001, P &lt; .001, and P = .004) and mean pulmonary artery pressure (P &lt; .001, P &lt; .001, and P = .001), whereas preoperative mean pulmonary artery pressure was found to be independently correlated with intensive care unit stay (P &lt; .001). No parameter was found to be significantly correlated with extubation time and mortality. Eighteen patients had experienced pulmonary hypertensive crisis; in this subgroup, patients’ mean pulmonary artery pressure and neutrophil to lymphocyte ratio were found to be significant (P = .047, P = .003). <br /><strong>Conclusion:</strong> Preoperative inflammation markers may be correlated with the progression of pulmonary hypertensive disease, but further studies with larger sample size are needed to determine the predictive role of these markers for postoperative outcomes.<br /><br />


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