scholarly journals Prognostic value of neutrophil-to-lymphocyte ratio, lactate dehydrogenase, D-dimer and CT score in patients with COVID-19

2020 ◽  
Author(s):  
Yu-Qing Cai ◽  
Hui-Qing Zeng ◽  
Xiao-Bin Zhang ◽  
Xiao-Jie Wei ◽  
Lan Hu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Lactate Dehydrogenase ◽  
Independent Predictor ◽  
Neutrophil To Lymphocyte Ratio ◽  
Multivariate Logistic Regression ◽  
Laboratory Findings ◽  
Lymphocyte Ratio ◽  
Severe Group ◽  
High Level ◽  
D Dimer

Abstract Background To explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer and CT score in evaluating the severity and prognosis of coronavirus disease – 2019 (COVID-19). Methods Patients with laboratory confirmed COVID-19 were retrospectively enrolled. The baseline data, laboratory findings, chest computed tomography (CT) results evaluating by CT score on admission, and clinical outcomes were collected and compared. The logistic regression was used to assess the independent relationship between the baseline level of four indicators (NLR, LDH, D-dimer, CT score) and the severity of COVID-19. Results Among 432 patients, 125 (28.94%) cases were divided into severe group, the remaining (n = 307, 71.06%) were in non-severe group. In multivariate logistic regression, high level of NLR, LDH were independent predictor of the severe group in COVID-19 (OR = 2.163; 95%CI = 1.162–4.026; p = 0.015 for NLR > 3.82; OR = 2.298; 95%CI = 1.327–3.979; p = 0.003 for LDH > 246U/L). Combining NLR > 3.82 and LDH > 246U/L increased the sensitivity of diagnosis in severe patients (NLR > 3.82 [50.40%] vs. Combined diagnosis [72.80%]; p = 0.0007; LDH > 246 [59.2%] vs. Combined diagnosis [72.80%]; p < 0.0001). Conclusions High levels of NLR and LDH in serum have potential value in the early identification of severe patients with COVID-19. The combination of LDH and NLR can improve the sensitivity of diagnosis.

scholarly journals Prognostic Value of Neutrophil-To-Lymphocyte Ratio, Lactate Dehydrogenase, D-Dimer and CT Score in Patients with COVID-19

2020 ◽  
Author(s):  
Yu-Qing Cai ◽  
Xiao-Bin Zhang ◽  
Hui-Qing Zeng ◽  
Xiao-Jie Wei ◽  
Zhen-Yu Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Lactate Dehydrogenase ◽  
Early Identification ◽  
Neutrophil To Lymphocyte Ratio ◽  
Laboratory Findings ◽  
Lymphocyte Ratio ◽  
Potential Value ◽  
Severe Group ◽  
High Level ◽  
D Dimer

Abstract Background: To explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer and CT score in evaluating the severity and prognosis of coronavirus disease – 2019 (COVID-19) in two centers of Hubei, China.Methods: A total of 432 patients with laboratory confirmed COVID-19 were retrospectively enrolled and divided into non-severe and severe groups. The baseline data, laboratory findings, chest computed tomography (CT) results evaluating by CT score on admission, and clinical outcomes were collected and compared. The logistic regression was used to assess the independent relationship between the baseline level of four indicators (NLR, LDH, D-dimer, CT score) on admission and the severity of COVID-19, respectively.Results: Among 432 patients, 125 (28.94%) cases were divided into severe group, the remaining (n = 307, 71.06%) were in non-severe group. In multivariate logistic regression, the high level of NLR, LDH were independent predictor in the early classification of patients with COVID-19 (OR = 2.163; 95%CI = 1.162–4.026; p = 0.015 for NLR > 3.82; OR = 2.298; 95%CI = 1.327–3.979; p = 0.003 for LDH > 246U/L). Furthermore, combining NLR > 3.82 and LDH > 246U/L could increase the sensitivity of diagnosis in severe patients (NLR > 3.82 [50.40%] vs. Combined diagnosis [72.80%]; p = 0.0007; LDH > 246 [59.2%] vs. Combined diagnosis [72.80%]; p < 0.0001).Conclusions: The high levels of NLR and LDH in serum have potential value in the early identification of severe patients with COVID-19. The combination of LDH and NLR can improve the sensitivity of diagnosis.Importance: COVID-19 has been a global pandemic. The mortality rate is range from 3.5-6.0%. In order to predict the risk factors of severity of COVID-19. we explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer and CT score in evaluating the severity and prognosis of coronavirus disease – 2019 (COVID-19) in two centers of Hubei, China. We found that the high levels of NLR and LDH in serum have potential value in the early identification of severe patients with COVID-19. The combination of LDH and NLR can improve the sensitivity of diagnosis.

scholarly journals Relationship Between D-Dimer / Creatinine Ratio and Coronary Artery Disease Severity in Patients with ST-Segment Elevation Myocardial Infarction

2021 ◽  
Author(s):  
Yipin Zhao ◽  
Huawei Wang ◽  
Zebin Lin ◽  
Yingying Ji ◽  
Qingwei Chen
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Independent Predictor ◽  
Gensini Score ◽  
Multivariate Logistic Regression ◽  
Artery Disease ◽  
D Dimer

Backgroundː Previous studies have shown that both serum creatinine and D-dimer levels were associated with atherosclerotic coronary artery disease (CAD). We aimed to determine whether DCR is associated with coronary Gensini score in patients with ST-elevation myocardial infarction (STEMI). Methodsː 337 STEMI patients with complete D-dimer and creatinine and other necessary information were included in the analysis. According to the values of the DCR, patients were divided into the lower DCR group (DCR &le;&thinsp;1.42, n = 173) and the higher DCR group (DFR &gt; 1.42, n = 174), and the differences between the two groups were compared. Multivariate linear and multivariate logistic regression analyses were performed to determine independent predictors of Gensini score. Resultsː High DCR group had higher Gensini score compared with low DCR group (P &lt; 0.05). DCR was positively correlated with Gensini score (r=0.493, P &lt; 0.001). Multiple linear regression analysis showed that Previous MI (r=11.312, P=0.035) and DCR (r=5.129, P&lt;0.001) were independent risk factors associated with Gensini score. Multivariate logistic regression analysis showed that, compared to the group 1, DCR is independent risk factor for Group 2, Group 3, Group 4 (P &lt;0.001). DCR is positively correlated with coronary Gensini score in STEMI patients and can be used as an independent predictor of higher Gensini score. Conclusionsː As a new and useful clinical marker, DCR is positively correlated with coronary Gensini score in STEMI patients and can be used as an independent predictor of higher Gensini score.

scholarly journals Preoperative Neutrophil to Lymphocyte Ratio Predicts Complications After Esophageal Resection That Can Be Used as Inclusion Criteria for Enhanced Recovery After Surgery: a Multi-Center Observational Study

2021 ◽  
Author(s):  
Bowen Shi ◽  
Xinyu Wang ◽  
Yue Zhao ◽  
Xiang Fei ◽  
Ji Zhu ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Logistic Regression ◽  
Postoperative Complications ◽  
Enhanced Recovery ◽  
Enhanced Recovery After Surgery ◽  
Neutrophil To Lymphocyte Ratio ◽  
Inclusion Criteria ◽  
Multivariate Logistic Regression ◽  
Cancer Resection ◽  
Lymphocyte Ratio

Abstract BackgroundThe neutrophil to lymphocyte ratio (NLR) has been reported as an indicator for poor prognosis in many cancers including esophageal cancer. However, the relationship between the NLR and postoperative complications after esophageal cancer resection remains unclear. At present, enhanced recovery after surgery (ERAS) lacks an inclusion criteria. The aim of this study is to determine whether the preoperative NLR (preNLR) can predict complications after esophageal cancer resection, which could represent the criteria for ERAS. MethodsThis was a retrospective study on 171 patients who underwent esophagectomy at Hospital between November 2019 and November 2020(68 patients from Changhai Hospital, 65 patients from Shanghai General Hospital and 38 patients from Affiliated Hospital of Qingdao University). Univariate and multivariate logistic regression analyses were performed to demonstrate that the preNLR could predict complications after esophagectomy. ResultsA preNLR cutoff value of 2.30 was identified as having the greatest ability to predict complications with a sensitivity of 76% and specificity of 65%. Moreover, the Chi-squared test results showed that the preNLR was significantly associated with complications (x2=13.641, p<0.001), and multivariate logistic regression analysis showed that body mass index (BMI), p stage and preNLR were independent variables associated with the development of postoperative complications (p<0.05). ConclusionThe preNLR can predict complications after esophagectomy, and these predicted complications can represent the criteria for recruiting patients for ERAS.

scholarly journals Systemic inflammatory markers and psychophysical olfactory scores in coronavirus disease 2019 patients: is there any correlation?

2021 ◽  
pp. 1-6
Author(s):  
L A Vaira ◽  
A De Vito ◽  
G Deiana ◽  
C Pes ◽  
F Giovanditto ◽  
...  
Keyword(s):  
Lactate Dehydrogenase ◽  
Clinical Research ◽  
Inflammatory Markers ◽  
Serum Levels ◽  
Neutrophil To Lymphocyte Ratio ◽  
C Reactive Protein ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Clinical Research Center ◽  
D Dimer

Abstract Objective To analyse the correlations between olfactory psychophysical scores and the serum levels of D-dimer, C-reactive protein, ferritin, lactate dehydrogenase, procalcitonin and neutrophil-to-lymphocyte ratio in coronavirus disease 2019 patients. Methods Patients underwent psychophysical olfactory assessment with the Connecticut Chemosensory Clinical Research Center test, and determination of blood serum levels of the inflammatory markers D-dimer, C-reactive protein, ferritin, lactate dehydrogenase, procalcitonin and neutrophil-to-lymphocyte ratio within 10 days of the clinical onset of coronavirus disease 2019 and 60 days after. Results Seventy-seven patients were included in this study. D-dimer, procalcitonin, ferritin and neutrophil-to-lymphocyte ratio correlated significantly with severe coronavirus disease 2019. No significant correlations were found between baseline and 60-day Connecticut Chemosensory Clinical Research Center test scores and the inflammatory markers assessed. Conclusion Olfactory disturbances appear to have little prognostic value in predicting the severity of coronavirus disease 2019 compared to D-dimer, ferritin, procalcitonin and neutrophil-to-lymphocyte ratio. The lack of correlation between the severity and duration of olfactory disturbances and serum levels of inflammatory markers seems to further suggest that the pathogenetic mechanisms underlying the loss of smell in coronavirus disease 2019 patients are related to local rather than systemic inflammatory factors.

scholarly journals The neutrophil to lymphocyte ratio is an independent predictor for severe COVID-19

2021 ◽  
Author(s):  
Jiangli Cheng ◽  
Aijia Ma ◽  
Jing Yang ◽  
Meiling Dong ◽  
Xuelian Liao ◽  
...  
Keyword(s):  
Odds Ratio ◽  
Case Control Study ◽  
Independent Predictor ◽  
Meta Analysis ◽  
Case Control ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Severe Group ◽  
Meta Analyses ◽  
Control Study

Summary Purpose The aim of this study was to determine whether the neutrophil to lymphocyte ratio (NLR) can predict severe Coronavirus disease 2019 (COVID-19). Patients and methods A multicenter case-control study was conducted to investigate whether the NLR can help predict the severity of COVID-19. Patients confirmed to have COVID-19 between 16 January 2020 and 15 March 2020 were enrolled. Furthermore, meta-analyses were conducted based on both previous studies and our case-control study. Results In the case-control study, 213 patients (severe: 81) were included. The results suggested that the NLR was an independent risk factor (odds ratio [OR], 1.155, 95% confidence interval [95% CI]: 1.043–1.279, P = 0.006) and a great predictor (the area under the ROC curve was 0.728, 95% CI: 0.656–0.800) for severe COVID-19. In total, 18 datasets from 16 studies combined with our case-control study (severe: 1211; non-severe: 5838) were included in the meta-analyses and the results showed that the NLR of the severe COVID-19 group was significantly higher than that of the non-severe group (SMD = 1.10, 95% CI: 0.90–1.31, P < 0.001). Based on the 2 × 2 data from 6 studies, the SROC of NLR for predicting severe COVID-19 was 0.802, with a sensitivity of 0.67 (95% CI: 0.61–0.72) and a specificity of 0.75 (95% CI: 0.73–0.78). Conclusion Based on a multicenter case-control study and a meta-analysis, we found that the initial NLR was a great predictor of severe COVID-19.

scholarly journals Prognostic value of the neutrophil-to-lymphocyte ratio in acute organophosphorus pesticide poisoning

2021 ◽  
Vol 16 (1) ◽  
pp. 703-710
Author(s):  
Yuhang Mu ◽  
Boqi Hu ◽  
Nan Gao ◽  
Li Pang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Organophosphorus Pesticide ◽  
Neutrophil To Lymphocyte Ratio ◽  
Pesticide Poisoning ◽  
Lymphocyte Ratio

Abstract This study investigates the ability of blood neutrophil-to-lymphocyte ratio (NLR) to predict acute organophosphorus pesticide poisoning (AOPP). Clinical data of 385 patients with AOPP were obtained within 24 h of admission, and NLR values were calculated based on neutrophil and lymphocyte counts. The patients were divided into two groups – good and poor – based on prognosis. Poor prognosis included in-hospital death and severe poisoning. The factors affecting prognosis were analyzed by logistic regression analysis, and the prognostic value of NLR was evaluated using the area under the receiver operating characteristic curve (AUC). Univariate logistic regression analysis showed that NLR levels, serum cholinesterase, and creatinine levels were good predictors of AOPP. Multivariate logistic regression analysis showed that high NLR was an independent risk factor for severe poisoning (adjusted odds ratio [AOR], 1.13; 95% CI, 1.10–1.17; p < 0.05) and in-hospital mortality (AOR, 1.07; 95% CI, 1.03–1.11; p < 0.05). NLR values >13 and >17 had a moderate ability to predict severe poisoning and in-hospital mortality, respectively (AUC of 0.782 [95% CI, 0.74–0.824] and 0.714 [95% CI, 0.626–0.803], respectively). Our results show that high NLR at admission is an independent indicator of poor prognosis in AOPP and can be used to optimize treatment and manage patients.

scholarly journals Neutrophil-to-Lymphocyte Ratio at Hospital Admission as a Novel Predictor of Early Growth of Intraparenchymal Haemorrhage in Patients With Traumatic Brain Injury

2020 ◽  
Author(s):  
Dongzhou Zhuang ◽  
Jiangtao Sheng ◽  
Guoyi Peng ◽  
Tian Li ◽  
Shirong Cai ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Final Analysis ◽  
Early Growth ◽  
Neutrophil To Lymphocyte Ratio ◽  
Roc Curve Analysis ◽  
Cerebral Contusion ◽  
Lymphocyte Ratio ◽  
Intraparenchymal Haemorrhage ◽  
Development And Validation

Abstract BackgroundThis study aimed to explore the association between the neutrophil-to-lymphocyte ratio (NLR) and early growth of traumatic intraparenchymal haemorrhage (tICH) in patients with traumatic brain injury.MethodsA multicentre, observational cohort study was conducted at four hospitals and included patients with cerebral contusion undergoing baseline computed tomography (CT) for haematoma volume analysis within 6 hours after primary injury and who had follow-up visits within 48 hours. Routine blood tests were performed upon admission and analysed with early PIH. Logistic regression and receiver operating characteristic (ROC) analysis was used to explore the predictive value of the NLR for haematoma expansion. ResultsThe final analysis included 1003 patients in the retrospective development and validation cohorts. In the retrospective development cohort, the NLR were higher in the PIH group than in the non-PIH group (P<0.0001). Multivariate logistic regression analysis revealed that a higher NLR was independently associated with PIH (P<0.0001). ROC curve analysis showed that the NLR had a sensitive ability for predicting PIH (AUC, 0.91 [95% CI, 0.88-0.94]). In the validation study, the NLR had a similar ability to predict PIH. ConclusionThe NLR can be used to easily assess the growth of tICH and calculated using routine laboratory tests. A high NLR is independently predictive of early growth of tICH and may aid in risk stratification of patients with tICH on admission.

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