Association Between Neutrophil-to-Lymphocyte Ratio and Mortality in Neurological Intensive Care Unit Patients

Öğün, Muhammed Nur; Yakşi, Elif

doi:10.29271/jcpsp.2019.10.919

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…For example, it has been reported that NLR being > 10.45 on day 2 and > 7.91 on day 5 is an independent predictor for in-hospital mortality 19 . Approximately 5 to 15 different cut-off values were obtained for NLR in the diagnosis of patients with sepsis, presence of bacteremia and mortality 9,10,17,[20][21][22][23] . In our results, the cut-off value for NLR in predicting the mortality of sepsis was 9.2.…”

Section: Discussionmentioning

confidence: 99%

Which hemogram-derived indices might be useful in predicting the clinical outcomes of sepsis patients in the intensive care unit?

Çakır¹,

Turan²

2021

Cukurova Medical Journal

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The aim of our study is to investigate the prognostic value of Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in determining mortality in patients hospitalized for intensive care unit (ICU) sepsis. Materials and Methods: This study retrospectively evaluates all patients hospitalized with sepsis in our ICU between February 2017 and April 2018. In addition to the demographic and clinical characteristics of the patients, complete blood count parameters were also recorded. Demographic and clinical characteristics, mainly NLR, MLR and PLR results, and other laboratory results of patients with sepsis were compared between the ones with and without mortality. Results: Four hundred and eleven patients were included in the study. 55.7% (229/411) of patients with sepsis died and 44.3% (182/411) were discharged alive. NLR, MLR and PLR were higher in the group with mortality compared to the survivor group. The cut-off value for predicting mortality in patients with sepsis was 9.2 for NLR, ≥0.8 for MLR, and ≥187.3 for PLR. The area under the curve (AUC) value for NLR was 0.825, the AUC value for MLR 0.835 and the AUC value for PLR was 0.720. Conclusion: High NLR, MLR and PLR values are associated with mortality in sepsis patients hospitalized in ICU, and the most significant parameter for mortality indicator among the three rates was found to be MLR with the highest AUC value. Amaç: Çalışmamızın amacı, yoğun bakım ünitesinde (YBÜ) sepsis nedeniyle yatan hastalarda nötrofil lenfosit oranı (NLO), monosit lenfosit oranı (MLO) ve trombosit lenfosit oranı (TLO mortaliteyi belirlemedeki prognostik değerini araştırmaktır. Gereç ve Yöntem: Çalışmamızda, Şubat 2017 -Nisan 2018 tarihleri arasında YBÜ'de yatan tüm sepsisli hastalar retrospektif olarak değerlendirilmiştir. Hastaların demografik ve klinik özelliklerine ek olarak tam kan sayımı parametreleri kayıt edildi. Mortalite olan ve olmayan sepsisli hastaların başlıca NLO, MLO ve TLO sonuçları olmak üzere demografik ve klinik özellikleri ile diğer laboratuvar sonuçları karşılaştırıldı. Bulgular: Çalışmaya 411 hasta dahil edildi. Sepsisli hastaların %55,7'si (229/411) öldü ve %44,3 hasta (182/411) sağ taburcu edildi. Mortalite olan grupta yaşayan gruba göre NLO, MLO ve TLO daha yüksek bulundu. Sepsisli hastalarda mortalite tahmini için eşik NLO için ≥9,2, MLO için ≥0,8, TLO için ≥187,3 olarak bulundu. Nötrofil lenfosit oranı için eğri altında kalan alana (AUC) değeri 0,825, MLO için AUC değeri 0,835 ve TLO için AUC değeri 0,720 olarak bulundu. Sonuç: Yoğun bakım ünitesinde yatan sepsis hastalarında yüksek NLO, MLO ve TLO değerleri mortalite ile ilişkili olup, üç oran arasından mortalite göstergesi için en anlamlı parametre AUC değeri en yüksek olan MLO olarak bulundu.

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Section: Discussionmentioning

confidence: 99%

Which hemogram-derived indices might be useful in predicting the clinical outcomes of sepsis patients in the intensive care unit?

Çakır¹,

Turan²

2021

Cukurova Medical Journal

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“…The neutrophil/lymphocyte ratio (NLR) is a strong biomarker, indicating acute and chronic inflammatory status, is reliable, cost-effective, and easily applicable, and is considered as a stronger inflammatory marker than the individual assessment of the neutrophil count or lymphocyte count [7][8][9][10]. The platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), mean platelet volume/lymphocyte ratio (MPVLR), mean platelet volume/platelet ratio (MPVPR) are the parameters that are easily calculated from the complete blood count.…”

mentioning

confidence: 99%

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

Şan¹,

Gemcioğlu²,

Davutoğlu³

et al. 2021

Turk J Med Sci

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IntroductionCoronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. To date there are no proven diagnostic or prognostic parameters, but clinicians can use predictive parameters, such as the leukocyte and lymphocyte counts, C-reactive protein (CRP), D-dimer, and ferritin levels, and radiological imaging [1-3]. In the inflammation process of COVID-19, CRP, platelet, ferritin, and leukocyte values may increase, while albumin and lymphocyte values may decrease [4][5][6].White blood cells (WBCs), including neutrophils, lymphocytes, monocytes, have been used as inflammatory Background/aim: Coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. As a result of high mortality rate among the severe COVID-19 patients, the early detection of the disease stage and early effective interventions are very important in reducing mortality. Hence, it is important to differentiate severe and nonsevere cases from each other. To date, there are no proven diagnostic or prognostic parameters that can be used in this manner. Due to the expensive and not easily accessible tests that are performed for COVID-19, researchers are investigating some parameters that can be easily used. In some recent studies, hematological parameters have been evaluated to see if they can be used as predictive parameters. Materials and methods:In the current study, almost all hematological parameters were used, including the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio, mean platelet volume to lymphocyte ratio, mean platelet volume to platelet ratio, plateletcrit, and D-dimer/fibrinogen ratio, neutrophil/lymphocyte/platelet scoring system, and systemic immune-inflammation index. A total of 750 patients, who were admitted to Ankara City Hospital due to COVID-19, were evaluated in this study. The patients were classified into 2 groups according to their diagnosis (confirmed or probable) and into 2 groups according to the stage of the disease (nonsevere or severe). Results:The values of the combinations of inflammatory markers and other hematological parameters in all of the patients with severe COVID-19 were calculated, and the predicted values of these parameters were compared. According to results of the study, nearly all of the hematological parameters could be used as potential diagnostic biomarkers for subsequent analysis, because the area under the curve (AUC) was higher than 0.50, especially for the DFR and NLR, which had the highest AUC among the parameters. Conclusion:Our findings indicate that, the parameters those enhanced from complete blood count, which is a simple laboratory test, can help to identify and classify COVID-19 patients into non-severe to severe groups.

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Association Between Neutrophil-to-Lymphocyte Ratio and Mortality in Neurological Intensive Care Unit Patients

Abstract: Objective: To investigate the effect of neutrophil-lymphocyte ratio (NLR) on survival and mortality in patients who were interned in the Neurology Intensive Care Unit (NICU).

Cited by 2 publications

References 18 publications

Which hemogram-derived indices might be useful in predicting the clinical outcomes of sepsis patients in the intensive care unit?

Which hemogram-derived indices might be useful in predicting the clinical outcomes of sepsis patients in the intensive care unit?

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

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