Eosinophil Count and Neutrophil-Lymphocyte Count Ratio as Prognostic Markers in Patients with Bacteremia: A Retrospective Cohort Study

Abstract Background Neutrophil-lymphocyte count ratio (NLCR) has been reported as better indicator of bacteremia than procalcitonin (PCT), and more precise predictor of mortality than C-reactive protein (CRP) under various medical conditions. However, large controversy remains upon this topic. To address the discrepancy, our group has compared the efficiency of NLCR with conventional inflammatory markers in predicting the prognosis of critical illness. Methods We performed a multi-center retrospective cohort study involving 536 ICU patients with outcomes of survival, 28- and 7-day mortality. NLCR was compared with conventional inflammatory markers such as PCT, CRP, serum lactate (LAC), white blood cell, neutrophil and severity score APACHE II (Acute Physiology and Chronic Health Evaluation II) to evaluate the potential outcomes of critical illness. Then, receiver operating characteristics (ROC) curves were constructed to assess and compare each marker’s sensitivity and specificity respectively. Results NLCR values were not different between survival and mortality groups. Meanwhile, remarkable differences were observed upon APACHE II score, CRP, PCT and LAC levels between survival and death groups. ROC analysis revealed that NLCR was not competent to predict prognosis of critical illness. The AUROCs of conventional markers such as CRP, PCT, LAC and APACHE II score were more effective in predicting 28- and 7-day mortality. Conclusions NLCR is less reliable than conventional markers CRP, PCT, LAC and APACHE II score in assessing severity and in predicting outcomes of critical illness.

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387. Markers for Mortality in COVID-19 Patients with Atrial Fibrillation or Flutter

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.582 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S262-S262

Author(s):

Kok Hoe Chan ◽

Bhavik Patel ◽

Iyad Farouji ◽

Addi Suleiman ◽

Jihad Slim

Keyword(s):

Atrial Fibrillation ◽

Logistic Regression ◽

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Prognostic Markers ◽

Univariate Analysis ◽

Laboratory Data ◽

Significant Difference ◽

New Onset

Abstract Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection can lead to many different cardiovascular complications, we were interested in studying prognostic markers in patients with atrial fibrillation/flutter (A. Fib/Flutter). Methods A retrospective cohort study of patients with confirmed COVID-19 and either with existing or new onset A. Fib/Flutter who were admitted to our hospital between March 15 and May 20, 2020. Demographic, outcome and laboratory data were extracted from the electronic medical record and compared between survivors and non-survivors. Univariate and multivariate logistic regression were employed to identify the prognostic markers associated with mortality in patients with A. Fib/Flutter Results The total number of confirmed COVID-19 patients during the study period was 350; 37 of them had existing or new onset A. Fib/Flutter. Twenty one (57%) expired, and 16 (43%) were discharged alive. The median age was 72 years old, ranged from 19 to 100 years old. Comorbidities were present in 33 (89%) patients, with hypertension (82%) being the most common, followed by diabetes (46%) and coronary artery disease (30%). New onset of atrial fibrillation was identified in 23 patients (70%), of whom 13 (57%) expired; 29 patients (78%) presented with atrial fibrillation with rapid ventricular response, and 2 patients (5%) with atrial flutter. Mechanical ventilation was required for 8 patients, of whom 6 expired. In univariate analysis, we found a significant difference in baseline ferritin (p=0.04), LDH (p=0.02), neutrophil-lymphocyte ratio (NLR) (p=0.05), neutrophil-monocyte ratio (NMR) (p=0.03) and platelet (p=0.015) between survivors and non-survivors. With multivariable logistic regression analysis, the only value that had an odds of survival was a low NLR (odds ratio 0.74; 95% confidence interval 0.53–0.93). Conclusion This retrospective cohort study of hospitalized patients with COVID-19 demonstrated an association of increase NLR as risk factors for death in COVID-19 patients with A. Fib/Flutter. A high NLR has been associated with increased incidence, severity and risk for stroke in atrial fibrillation patients but to our knowledge, we are first to demonstrate the utilization in mortality predictions in COVID-19 patients with A. Fib/Flutter. Disclosures Jihad Slim, MD, Abbvie (Speaker’s Bureau)Gilead (Speaker’s Bureau)Jansen (Speaker’s Bureau)Merck (Speaker’s Bureau)ViiV (Speaker’s Bureau)

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A retrospective cohort study in severe asthma describing commonly measured biomarkers: Eosinophil count and IgE levels

Respiratory Medicine ◽

10.1016/j.rmed.2017.12.001 ◽

2018 ◽

Vol 134 ◽

pp. 117-123 ◽

Cited By ~ 8

Author(s):

John Haughney ◽

Alyn Morice ◽

Kevin G. Blyth ◽

Amanda J. Lee ◽

Alasdair Coutts ◽

...

Keyword(s):

Cohort Study ◽

Severe Asthma ◽

Retrospective Cohort Study ◽

Eosinophil Count ◽

Retrospective Cohort

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The Association of Red Blood Cell Distribution Width to Platelet Count Ratio and 28-Day Mortality of Patients with Sepsis: A Retrospective Cohort Study

Therapeutics and Clinical Risk Management ◽

10.2147/tcrm.s268523 ◽

2020 ◽

Vol Volume 16 ◽

pp. 999-1006

Author(s):

Shanhui Ge ◽

Shan Lin ◽

Lishan Zhang ◽

Mian Zeng

Keyword(s):

Cohort Study ◽

Platelet Count ◽

Blood Cell ◽

Red Blood Cell ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Cell Distribution ◽

Distribution Width ◽

Count Ratio ◽

Red Blood Cell Distribution

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Ecotropic virus integration‑1 and calreticulin as novel prognostic markers in triple‑negative breast cancer: A retrospective cohort study

Oncology Letters ◽

10.3892/ol.2019.10472 ◽

2019 ◽

Cited By ~ 1

Author(s):

Dongning He ◽

Lei Wu ◽

Xiaoxi Li ◽

Xiaodan Liu ◽

Ping Ma ◽

...

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Triple Negative Breast Cancer ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Triple Negative ◽

Prognostic Markers ◽

Virus Integration ◽

Ecotropic Virus

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Early predictive factors of progression from severe type to critical ill type in patients with Coronavirus Disease 2019: A retrospective cohort study

10.21203/rs.3.rs-31404/v1 ◽

2020 ◽

Author(s):

Nan Li ◽

Hao Kong ◽

Xi-Zi Zheng ◽

Xue-Ying Li ◽

Jing Ma ◽

...

Keyword(s):

Creatine Kinase ◽

Cohort Study ◽

Critical Illness ◽

Hospital Admission ◽

Neutrophil Count ◽

Retrospective Cohort Study ◽

Lymphocyte Count ◽

Retrospective Cohort ◽

Creatine Kinase Mb ◽

Critical Ill

Abstract Background: The current worldwide pandemic of Coronavirus Disease 2019 (COVID-19) has posed a serious threat to global public health, and the mortality rate of critical ill patients remains high. The purpose of this study was to identify factors that early predict the progression of COVID-19 from severe to critical illness.Methods: This retrospective cohort study included adult patients with severe or critical ill COVID-19 who were consecutively admitted to the Zhongfaxincheng campus of Tongji Hospital (Wuhan, China) from February 8 to 18, 2020. Baseline variables, data at hospital admission and during hospital stay, as well as clinical outcomes were collected from electronic medical records system. The primary endpoint was the development of critical illness. A multivariable logistic regression model was used to identify independent factors that were associated with the progression from severe to critical illness.Results: A total of 138 patients were included in the analysis; of them 119 were diagnosed as severe cases and 16 as critical ill cases at hospital admission. During hospital stay, 19 more severe cases progressed to critical illness. For all enrolled patients, longer duration from diagnosis to admission (odds ratio [OR] 1.108, 95% CI 1.022-1.202; P=0.013), pulse oxygen saturation at admission <93% (OR 5.775, 95% CI 1.257-26.535; P=0.024), higher neutrophil count (OR 1.495, 95% CI 1.177-1.899; P=0.001) and higher creatine kinase-MB level at admission (OR 2.449, 95% CI 1.089-5.511; P=0.030) were associated with a higher risk, whereas higher lymphocyte count at admission (OR 0.149, 95% CI 0.026-0.852; P=0.032) was associated with a lower risk of critical illness development. For the subgroup of severe cases at hospital admission, the above factors except creatine kinase-MB level were also found to have similar correlation with critical illness development.Conclusions: Higher neutrophil count and lower lymphocyte count at admission were early independent predictors of progression to critical illness in severe COVID-19 patients.

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Neutrophil-Lymphocyte Count Ratio Better Predict Prognosis than Conventional Markers in Critical Patients? A Multiple-Centered Retrospective Cohort Study

10.21203/rs.3.rs-47545/v1 ◽

2020 ◽

Author(s):

Tao Zhou ◽

Nan Zheng ◽

Xiang Li ◽

Dongmei Zhu ◽

YI HAN

Keyword(s):

Cohort Study ◽

Critical Illness ◽

Retrospective Cohort Study ◽

Lymphocyte Count ◽

Inflammatory Markers ◽

Retrospective Cohort ◽

Apache Ii ◽

Apache Ii Score ◽

C Reactive Protein ◽

Reactive Protein

Abstract Background: Neutrophil-lymphocyte count ratio (NLCR) has been reported as better indicator of bacteremia than procalcitonin (PCT), and better predictor of mortality than C-reactive protein (CRP) in various medical conditions. However, large controversy remains upon this topic. We compared the efficiency of NLCR with conventional inflammatory markers in predicting the prognosis of critical illness. Methods: We performed a multiple-centered retrospective cohort study consisting of 536 ICU patients with outcomes of survival, 28- and 7-day mortality. NLCR was compared with conventional inflammatory markers such as PCT, C-reactive protein (CRP), serum lactate (LAC), white blood cell, neutrophil and severity score APACHE II (Acute Physiology and Chronic Health Evaluation II) to evaluate the predictive value on outcomes of critical illness. Then receiver operating characteristics (ROC) curves were constructed to assess and compare each marker’s sensitivity and specificity respectively. Results: NLCR values were not differential among survival and mortality groups. Meanwhile remarkable differences were observed upon APACHE II score, CRP, PCT and LAC levels among survival and death groups. ROC analysis revealed that NLCR was not competent to predict prognosis of critical illness. The AUROCs of conventional markers such as CRP, PCT, LAC and APACHE II score were more significant in predicting 28- and 7-day mortality. Conclusions: NLCR is not competent and less reliable than conventional markers CRP, PCT, LAC and APACHE II score in assessing severity and in predicting outcomes of critical illness.

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BRCA1 AND microRNAs 7, 10B, 205ab, 218ª expression as prognostic markers in primary breast cancers – a retrospective cohort study

Mastology ◽

10.29289/259453942018v28s1042 ◽

2018 ◽

Vol 28 (s1) ◽

pp. 42-42

Author(s):

Cesar A. S. T. Vilanova- Costa ◽

◽

Jéssica E. P. Ramos ◽

Juliana F. Paes ◽

Daniel R. Bastos ◽

...

Keyword(s):

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Prognostic Markers ◽

Breast Cancers

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Role of eosinophil count and neutrophil: lymphocyte count ratio as prognostic markers in patients with sepsis

International Surgery Journal ◽

10.18203/2349-2902.isj20172774 ◽

2017 ◽

Vol 4 (7) ◽

pp. 2243

Author(s):

Prasan Kumar Hota ◽

B. Gowtham Reddy

Keyword(s):

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Eosinophil Count ◽

Lymphocyte Count ◽

Prognostic Markers ◽

Low Cost ◽

Neutrophil Lymphocyte Ratio ◽

Count Ratio ◽

Diagnosis And Prognosis

Background: Several biomarkers, such as C-reactive protein (CRP) and Procalcitonin have been used to indicate bacterial infection in sepsis. They have limited sensitivity and specificity with high cost, placing them practically out of reach for poor patients in developing countries like India. Hence the need to evaluate eosinophil count and neutrophil-lymphocyte count ratio (NLCR) as an indicator of sepsis considering their lower cost and easier accessibility. The present study was done to establish that eosinopenia and the neutrophil-lymphocyte count are simple and effective tools as prognostic biomarkers for sepsis.Methods: A prospective observational study consisting of 50 patients with SIRS and sepsis on admission were studied. Neutrophil and lymphocyte count for first 4 consecutive days and then on alternate days up to one week was done. Absolute eosinophil count for first 2 consecutive days and then on alternate days up to one week was done.Results: Eosinopenia was noted to have 79.3% sensitivity, 76.2% specificity, positive predictive value 82.2% and negative predictive value 95.4% in predicting diagnosis and prognosis of sepsis. Neutrophil-lymphocyte ratio was found to have 86.2% sensitivity, 85.7% specificity, positive predictive value of 89.2%, negative predictive value of 81.1% in predicting diagnosis and prognosis of sepsis.Conclusions: Eosinophil count and neutrophil - lymphocyte count ratio are simple and effective prognostic markers of sepsis with low cost.

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