scholarly journals Platelet-to-Lymphocyte Ratio and Neutrophil-to-Lymphocyte Ratio Predict Mucosal Disease Severity in Ulcerative Colitis

2018 ◽  
Vol 37 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Muhammet Yener Akpinar ◽  
Yasemin Ozderin Ozin ◽  
Mustafa Kaplan ◽  
Ihsan Ates ◽  
Ismail Hakki Kalkan ◽  
...  

SummaryBackground:We investigated the sensitivity of neutrophil to lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), as well as a combination of NLR and PLR to predict endoscopic disease severity based on mucosal assessment in ulcerative colitis (UC).Methods:The study group consisted 104 patients with active UC, 104 patients in remission, and 105 healthy individuals. Disease activity was described with Rachmilewitz endoscopic activity index (EAI). Curve analysis was used to determine the optimal cutoff values of NLR and PLR for obtaining remission. The patients with both PLR and NLR values higher than the cutoff values were coded as »high risk,« those with one parameter higher were coded as »moderate risk«, those with both parameters lower than the cutoff values were coded as »low-risk« patients.Results:The mean NLR and PLR values in the endoscopically active disease group were higher than the others, with higher values in the endoscopic remission group compared with the control group (p<0.001). Rachmilewitz EAI in high-risk patients was significantly higher than that in others (p<0.001). In Cox regression analyses, moderate and high risk, high erythrocyte sedimentation rate and high EAI were found as independent predictors of endoscopic active disease.Conclusions:This is the first study that investigated the use of NLR and PLR combination to assess endoscopic disease severity in UC. Either high NLR or PLR levels can predict active endoscopic disease. However, the use of these parameters in combination is more accurate in evaluating mucosal disease and inflammation in UC.

Author(s):  
Rohit Jain ◽  
Arun Gopal ◽  
Basant Kumar Pathak ◽  
Sourya Sourabh Mohakuda ◽  
TVSVGK Tilak ◽  
...  

Abstract Context Due to the wide spectrum of clinical illness in coronavirus disease 2019 (COVID-19) patients, it is important to stratify patients into severe and nonsevere categories. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been evaluated rapidly by a few studies worldwide for its association with severe disease, but practically none have been conducted in the Indian population. This study was undertaken to examine the role of NLR and PLR in predicting severe disease in Indian patients. Objectives The objective was to study the association of NLR and PLR observed at the time of admission with maximum disease severity during hospitalization and to study their role in predicting disease severity. Material and Methods A total of 229 COVID-19 patients were admitted at the center during the study period. After applying inclusion and exclusion criteria, 191 patients were included in the study. The demographic, clinical, and laboratory (complete blood count, NLR, and PLR) data of all patients were obtained at the time of admission. Maximum disease severity of all patients was assessed during hospitalization. Statistical Analysis Chi-square and Mann–Whitney U tests were used to assess statistical significance. Receiver operating characteristic curve (ROC) was plotted for NLR and PLR to estimate the cutoff values and sensitivity and specificity using Youden’s index for predicting severe disease. Logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals. Results Mean NLR and PLR were significantly higher in severe patients (NLR = 7.41; PLR = 204) compared with nonsevere patients (NLR = 3.30; PLR = 121). ROC analysis showed that NLR, in comparison to PLR, had a higher area under the curve (AUC) of 0.779, with a larger OR of 1.237 and cutoff of 4.1, and showed 69% sensitivity and 78% specificity in predicting severe disease. Cut off for PLR was 115.3, which showed 79% sensitivity and 62% specificity in predicting severe disease. Conclusion NLR and PLR, both showing acceptable AUCs, can be used as screening tools to predict disease severity. However, NLR was a better predictor of disease severity.


2020 ◽  
Vol 26 (10) ◽  
pp. 1579-1587 ◽  
Author(s):  
Lorenzo Bertani ◽  
Federico Rossari ◽  
Brigida Barberio ◽  
Maria Giulia Demarzo ◽  
Gherardo Tapete ◽  
...  

Abstract Background Anti-tumor necrosis factor drugs (anti-TNFs) are widely used for the treatment of ulcerative colitis (UC). However, many patients experience loss of response during the first year of therapy. An early predictor of clinical remission and mucosal healing is needed. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are markers of subclinical inflammation poorly evaluated in UC patients treated with anti-TNFs. The aim of this multicenter study was to evaluate whether NLR and PLR could be used as prognostic markers of anti-TNF treatment response. Methods Patients with UC who started anti-TNF treatment in monotherapy were evaluated. Patients with concomitant corticosteroid treatment ≥20 mg were excluded. We calculated NLR, PLR, and fecal calprotectin before treatment and after induction. The values of NLR and PLR were correlated with clinical remission and mucosal healing at the end of follow-up (54 weeks) using the Mann-Whitney U test and then multivariate analysis was conducted. Results Eighty-eight patients were included. Patients who reached mucosal healing after 54 weeks of therapy displayed lower levels of both baseline NLR and PLR (P = 0.0001 and P = 0.04, respectively); similar results were obtained at week 8 (P = 0.0001 and P = 0.001, respectively). Patients who presented with active ulcers at baseline endoscopic evaluation had higher baseline NLR and PLR values compared with those without detected ulcers (P = 0.002 and P = 0.0007, respectively). Conclusions BothNLR and PLR showed a promising role as early predictors of therapeutic response to anti-TNF therapy in UC patients. If confirmed in larger studies, classification and regression trees proposed in this article could be useful to guide clinical decisions regarding anti-TNF treatment.


2009 ◽  
Vol 136 (5) ◽  
pp. A-667-A-668
Author(s):  
Sherif Andrawes Abotaga ◽  
Charles Oliner ◽  
Adam J. Goodman ◽  
Basem Azab ◽  
Kera Weiserbs ◽  
...  

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 94
Author(s):  
Giulia Turri ◽  
Valeria Barresi ◽  
Alessandro Valdegamberi ◽  
Gabriele Gecchele ◽  
Cristian Conti ◽  
...  

Although stage I and II colon cancers (CC) generally show a very good prognosis, a small proportion of these patients dies from recurrent disease. The identification of high-risk patients, who may benefit from adjuvant chemotherapy, becomes therefore essential. We retrospectively evaluated 107 cases of stage I (n = 28, 26.2%) and II (n = 79, 73.8%) CC for correlations among preoperative inflammatory markers, histopathological factors and long-term prognosis. A neutrophil-to-lymphocyte ratio greater than 3 (H-NLR) and a platelet-to-lymphocyte ratio greater than 150 (H-PLR) were significantly associated with the presence of poorly differentiated clusters (PDC) (p = 0.007 and p = 0.039, respectively). In addition, H-NLR and PDC proved to be significant and independent survival prognosticators for overall survival (OS; p = 0.007 and p < 0.001, respectively), while PDC was the only significant prognostic factor for cancer-specific survival (CSS; p < 0.001,). Finally, the combination of H-NLR and PDC allowed an optimal stratification of OS and CSS in our cohort, suggesting a potential role in clinical practice for the identification of high-risk patients with stage I and II CC.


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