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 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 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 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.

scholarly journals Clinical Characteristics and Predictors of Mortality for Young Adults with Severe COVID-19: A Retrospective Study

2020 ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

scholarly journals Clinical Characteristics and Predictors of Mortality in Young Adults with Severe COVID-19. A Retrospective Observational Study

2021 ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

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