scholarly journals Prognostic Value of Inflammatory Biomarkers in Patients with Severe COVID-19: A Single-Center Retrospective Study

2021 ◽  
Vol 16 ◽  
pp. 117727192110270
Author(s):  
Gönül Açıksarı ◽  
Mehmet Koçak ◽  
Yasemin Çağ ◽  
Lütfiye Nilsun Altunal ◽  
Adem Atıcı ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Hospital Mortality ◽  
Prognostic Value ◽  
Current Knowledge ◽  
Area Under The Curve ◽  
Prognostic Nutritional Index ◽  
Inflammatory Biomarkers ◽  
Single Center ◽  
Discriminative Ability ◽  
Lymphocyte Ratio

Background: The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19. Methods: This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers. Results: Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI ( P < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, P = .004), NLR (⩾6.27, P = .012), and PNI (⩽40.2, P = .009) were independent predictors associated with mortality in severe COVID-19 patients. Conclusions: The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.

scholarly journals Neutrophil-lymphoycyte-ratio, platelet-lymphocyte-ratio and procalcitonin for early assessment of prognosis in patients undergoing VA-ECMO

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Sebastian Roth ◽  
René M’Pembele ◽  
Alexandra Stroda ◽  
Catrin Jansen ◽  
Giovanna Lurati Buse ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Area Under The Curve ◽  
Final Analysis ◽  
Operating Characteristics ◽  
Early Assessment ◽  
Discriminative Ability ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Platelet Lymphocyte Ratio ◽  
Va Ecmo

AbstractThe use of veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is increasing, but mortality remains high. Early assessment of prognosis is challenging and valid markers are lacking. This study aimed to investigate Neutrophil–Lymphocyte Ratio (NLR), Platelet-Lymphocyte-Ratio (PLR) and Procalcitonin (PCT) for early assessment of prognosis in patients undergoing VA-ECMO. This retrospective single-center cohort study included 344 consecutive patients ≥ 18 years who underwent VA-ECMO due to cardiogenic shock. Main exposures were NLR, PLR and PCT measured within 24 h after VA-ECMO initiation. The primary endpoint was all-cause in-hospital mortality. In total, 92 patients were included into final analysis (71.7% male, age 57 ± 14 years). In-hospital mortality rate was 48.9%. Receiver operating characteristics (ROC) curve revealed an area under the curve (AUC) of 0.65 [95% confidence interval (CI) 0.53–0.76] for NLR. The AUCs of PLR and PCT were 0.47 [95%CI 0.35–0.59] and 0.54 [95%CI 0.42–0.66], respectively. Binary logistic regression showed an adjusted odds ratio of 3.32 [95%CI 1.13–9.76] for NLR, 1.0 [95%CI 0.998–1.002] for PLR and 1.02 [95%CI 0.99–1.05] for PCT. NLR is independently associated with in-hospital mortality in patients undergoing VA-ECMO. However, discriminative ability is weak. PLR and PCT seem not to be suitable for this purpose.

scholarly journals Postoperative Trends and Prognostic Values of Inflammatory and Nutritional Biomarkers after Liver Transplantation for Hepatocellular Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 513
Author(s):  
Riccardo Pravisani ◽  
Federico Mocchegiani ◽  
Miriam Isola ◽  
Dario Lorenzin ◽  
Gian Luigi Adani ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Nutritional Status ◽  
Prognostic Value ◽  
Prognostic Nutritional Index ◽  
Inflammatory Biomarkers ◽  
Lymphocyte Ratio ◽  
Inflammatory State ◽  
Early Hcc ◽  
The Impact

Preoperative inflammatory biomarkers such as the Platelet-to-Lymphocyte Ratio (PLR) and the Neutrophil-to-Lymphocyte Ratio (NLR) strongly predict the outcome in surgically treated patients with hepatocellular carcinoma (HCC), while nutritional biomarkers such as the Controlling Nutritional Status (CONUT) and the Prognostic Nutritional Index (PNI) show an analogue prognostic value in hepatic resection (HR) but not in liver transplant (LT) cases. Data on the impact of LT on the inflammatory and nutritional/metabolic function are heterogeneous. Therefore, we investigated the post-LT trend of these biomarkers up to postoperative month (POM) 12 in 324 HCC patients treated with LT. Inflammatory biomarkers peaked in the early post-LT period but at POM 3 leveled off at values similar (NLR) or higher (PLR) than pre-LT ones. CONUT and PNI worsened in the early post-LT period, but at POM 3 they stabilized at significantly better values than pre-LT. In LT recipients with an overall survival >1 year and no evidence of early HCC recurrence, 1 year post-LT NLR and PNI independently predicted patient overall survival, while 1 year post-LT PLR independently predicted late tumor recurrence. In conclusion, at 1 year post-LT, the nutritional status of liver-transplanted HCC patients significantly improved while their inflammatory state tended to persist. Consequently, post-LT PLR and NLR maintained a prognostic value for LT outcome while post-LT CONUT and PNI acquired it.

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.

Neutrophil to Lymphocyte Ratio and In-Hospital Mortality Among Patients With SARS-CoV-2: A Retrospective Study

2021 ◽  
Author(s):  
Rajesh Rajan ◽  
Mohammed Al-Jarallah ◽  
Raja Dashti ◽  
Ahmad Al Saber ◽  
Jiazhu Pan ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Hospital Mortality ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Authors’ Responses to Peer Reviews of “In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study” (Preprint)

2021 ◽  
Author(s):  
Enoch Joseph Abbey ◽  
Jennifer S R Mammen ◽  
Samara E Soghoian ◽  
Maureen A F Cadorette ◽  
Promise Ariyo
Keyword(s):  
Retrospective Study ◽  
Hospital Mortality ◽  
Peer Review ◽  
Early Warning ◽  
Predictive Ability ◽  
Early Warning Score ◽  
Single Center ◽  
Peer Reviews

UNSTRUCTURED These are authors responses to peer review.

scholarly journals The prognostic significance of inflammation-based scores in patients with ampullary carcinoma after pancreaticoduodenectomy

2020 ◽  
Author(s):  
Shuxin Sun ◽  
Chaobin He ◽  
Jun Wang ◽  
Xin Huang ◽  
Jiali Wu ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Prognostic Score ◽  
Prognostic Significance ◽  
Prognostic Index ◽  
Glasgow Prognostic Score ◽  
Prognostic Nutritional Index ◽  
Significant Prognostic Factor ◽  
Entire Cohort ◽  
Lymphocyte Ratio ◽  
Survival Differences

Abstract Background Growing evidence indicates that systemic inflammatory response plays an important role in cancer development and progression. Several inflammatory markers have been reported to be associated with the clinical outcomes in patients with various types of cancer. This study was designed to evaluate the prognostic value of the inflammatory indexes in patients suffering from ampullary cancer (AC) who underwent pancreaticoduodenectomy (PD). Methods We retrospectively reviewed a database of 358 patients with AC who underwent PD between 2009 and 2018. R software was used to compare the area under the time-dependent receiver operating characteristic (ROC) curves (AUROCs) of the inflammation-based indexes, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), modified Glasgow Prognostic Score (mGPS), prognostic nutritional index (PNI) and prognostic index (PI), in terms of their predictive value of survival. The survival differences of these indexes were compared by Kaplan-Meier method and univariate and multivariate analyses were performed to determine the prognostic factors of progress-free survival (PFS) and overall survival (OS). Results The estimated 1-, 2-, and 3-year OS and PFS rates were 83.9%, 65.8%, 55.2% and 58.0%, 42.8%, 37.8%, respectively, for the entire cohort. The survival differences were significant in terms of OS and PFS when they were stratified by these inflammation-based indexes. The comparisons of AUROCs of these inflammation-based indexes illustrated that NLR and PI displayed highest prognostic value, compared to other indexes. When NLR and PI were combined, NLR-PI showed even higher AUROC values and was identified as a significant prognostic factor in terms of OS and PFS. Conclusion Specific inflammatory indexes, such as NLR, PLR and PI, were found to be able to predict the OS or PFS of patients. As a novel inflammatory index, the level of NLR-PI, which can be regarded as a more useful prognostic index, exhibited strong predictive power for predicting prognosis of patients with AC after PD procedure.

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