scholarly journals Efficacy of Prognostic Scoring Systems and Neutrophil-to-Lymphocyte Ratio (NLR) Among Critically Ill Elder Sepsis Patients

2021 ◽  
Vol 74 (3) ◽  
pp. 289-295
Author(s):  
Bilgin Bahadır Başgöz ◽  
Musa Barış Aykan ◽  
Ramazan Acar ◽  
İlker Taşçı
2022 ◽  
Vol 86 (1) ◽  
pp. 242-249
Author(s):  
Khaled Ali Esmaeil Ali Shalaby ◽  
Afaf Abdel Hafez Abdel Mageed ◽  
Tarek Elsayed Gouda

Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1656
Author(s):  
Emanuel Moisa ◽  
Dan Corneci ◽  
Silvius Negoita ◽  
Cristina Raluca Filimon ◽  
Andreea Serbu ◽  
...  

Background: Hematological indices can predict disease severity, progression, and death in patients with coronavirus disease-19 (COVID-19). Objectives: To study the predictive value of the dynamic changes (first 48 h after ICU admission) of the following ratios: neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR), systemic inflammation index (SII), and derived neutrophil-to-lymphocyte (dNLR) for invasive mechanical ventilation (IMV) need and death in critically ill COVID-19 patients. Methods: Observational, retrospective, and multicentric analysis on 272 patients with severe or critical COVID-19 from two tertiary centers. Hematological indices were adjusted for confounders through multivariate analysis using Cox regression. Results: Patients comprised 186 males and 86 females with no difference across groups (p > 0.05). ΔNLR > 2 had the best independent predictive value for IMV need (HR = 5.05 (95% CI, 3.06–8.33, p < 0.0001)), followed by ΔSII > 340 (HR = 3.56, 95% CI 2.21–5.74, p < 0.0001) and ΔdNLR > 1 (HR = 2.61, 95% CI 1.7–4.01, p < 0.0001). Death was also best predicted by an NLR > 11 (HR = 2.25, 95% CI: 1.31–3.86, p = 0.003) followed by dNLR > 6.93 (HR = 1.89, 95% CI: 1.2–2.98, p = 0.005) and SII > 3700 (HR = 1.68, 95% CI: 1.13–2.49, p = 0.01). Conclusions: Dynamic changes of NLR, SII, and dNLR independently predict IMV need and death in critically ill COVID-19 patients.


2015 ◽  
Vol 3 (S1) ◽  
Author(s):  
N Moreau ◽  
P Forget ◽  
X Wittebole ◽  
PF Laterre ◽  
D Castanares-Zapatero

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
T. Kabir ◽  
M. Ye ◽  
N. A. Mohd Noor ◽  
W. Woon ◽  
S. P. Junnarkar ◽  
...  

Background. In recent years, inflammation-based scoring systems have been reported to predict survival in Hepatocellular Carcinoma (HCC). The aim of our study was to validate combined preoperative Neutrophil-to-Lymphocyte ratio (NLR)-Platelet-to-Lymphocyte ratio (PLR) in predicting overall survival (OS) and recurrence free survival (RFS) in patients who underwent curative resection for HCC. Methods. We conducted a retrospective study of HCC patients underwent liver resection with curative intent from January 2010 to December 2013. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values for NLR and PLR. Patients with both NLR and PLR elevated were allocated a score of 2; patients showing one or neither of these indices elevated were accorded a score of 1 or 0, respectively. Results. 132 patients with a median age of 66 years (range 18-87) underwent curative resection for HCC. Overall morbidity was 30.3%, 30-day mortality was 2.3%, and 90-day mortality was 6.8%. At a median follow-up of 24 months (range 1-88), 25% patients died, and 40.9% had recurrence. On multivariate analysis, elevated preoperative NLR-PLR was predictive of both OS (HR 2.496; CI 1.156-5.389; p=0.020) and RFS (HR 1.917; CI 1.161-3.166; p=0.011). The 5-year OS was 76% for NLR-PLR=0 group, 21.7% for the NLR-PLR=1 group, and 61.1% for the NLR-PLR=2 group, respectively. The 5-year RFS was 39.3% for the NLR-PLR=0 group, 18.4% for the NLR-PLR=1 group, and 21.1% for the NLR-PLR=2 group, respectively. Conclusion. The preoperative NLR-PLR is predictive of both OS and RFS in patients with HCC undergoing curative liver resection.


Critical Care ◽  
2015 ◽  
Vol 19 (1) ◽  
Author(s):  
Joseph Campbell ◽  
Joanne McPeake ◽  
Martin Shaw ◽  
Alex Puxty ◽  
Ewan Forrest ◽  
...  

2021 ◽  
Vol 11 (8) ◽  
pp. 732
Author(s):  
Sen-Kuang Hou ◽  
Hui-An Lin ◽  
Shao-Chun Chen ◽  
Chiou-Feng Lin ◽  
Sheng-Feng Lin

(1) Background: Sepsis is a life-threatening condition, and most patients with sepsis first present to the emergency department (ED) where early identification of sepsis is challenging due to the unavailability of an effective diagnostic model. (2) Methods: In this retrospective study, patients aged ≥20 years who presented to the ED of an academic hospital with systemic inflammatory response syndrome (SIRS) were included. The SIRS, sequential organ failure assessment (SOFA), and quick SOFA (qSOFA) scores were obtained for all patients. Routine complete blood cell testing in conjugation with the examination of new inflammatory biomarkers, namely monocyte distribution width (MDW), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), was performed at the ED. Propensity score matching was performed between patients with and without sepsis. Logistic regression was used for constructing models for early sepsis prediction. (3) Results: We included 296 patients with sepsis and 1184 without sepsis. A SIRS score of >2, a SOFA score of >2, and a qSOFA score of >1 showed low sensitivity, moderate specificity, and limited diagnostic accuracy for predicting early sepsis infection (c-statistics of 0.660, 0.576, and 0.536, respectively). MDW > 20, PLR > 9, and PLR > 210 showed higher sensitivity and moderate specificity. When we combined these biomarkers and scoring systems, we observed a significant improvement in diagnostic performance (c-statistics of 0.796 for a SIRS score of >2, 0.761 for a SOFA score of >2, and 0.757 for a qSOFA score of >1); (4) Conclusions: The new biomarkers MDW, NLR, and PLR can be used for the early detection of sepsis in the current sepsis scoring systems.


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