scholarly journals The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients

Molecules ◽  
2020 ◽  
Vol 25 (23) ◽  
pp. 5725 ◽  
Author(s):  
Alessandro G. Fois ◽  
Panagiotis Paliogiannis ◽  
Valentina Scano ◽  
Stefania Cau ◽  
Sergio Babudieri ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Systemic Inflammation ◽  
Cox Regression ◽  
Rapid Onset ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Group Methods ◽  
Aggregate Index ◽  
Inflammatory State

Background. The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. Methods. The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte × platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. Results. Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan–Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000–1.0001, p = 0.029) in multivariate Cox regression analysis. Conclusions. The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group.

scholarly journals Combination of Tertiary Lymphoid Structure and Neutrophil-to-Lymphocyte Ratio Predicts Survival in Patients With Hepatocellular Carcinoma

2022 ◽  
Vol 12 ◽  
Author(s):  
Shaodi Wen ◽  
Yuzhong Chen ◽  
Chupeng Hu ◽  
Xiaoyue Du ◽  
Jingwei Xia ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Systemic Inflammation ◽  
Cox Regression ◽  
Primary Liver Cancer ◽  
Paraffin Section ◽  
Neutrophil To Lymphocyte Ratio ◽  
Survival Prediction ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Inflammation Parameters

BackgroundHepatocellular carcinoma (HCC) is the most common pathological type of primary liver cancer. The lack of prognosis indicators is one of the challenges in HCC. In this study, we investigated the combination of tertiary lymphoid structure (TLS) and several systemic inflammation parameters as a prognosis indicator for HCC.Materials and MethodsWe retrospectively recruited 126 postoperative patients with primary HCC. The paraffin section was collected for TLS density assessment. In addition, we collected the systemic inflammation parameters from peripheral blood samples. We evaluated the prognostic values of those parameters on overall survival (OS) using Kaplan-Meier curves, univariate and multivariate Cox regression. Last, we plotted a nomogram to predict the survival of HCC patients.ResultsWe first found TLS density was positively correlated with HCC patients’ survival (HR=0.16, 95% CI: 0.06 − 0.39, p < 0.0001), but the power of TLS density for survival prediction was found to be limited (AUC=0.776, 95% CI:0.772 − 0.806). Thus, we further introduced several systemic inflammation parameters for survival analysis, we found neutrophil-to-lymphocyte ratio (NLR) was positively associated with OS in univariate Cox regression analysis. However, the combination of TLS density and NLR better predicts patient’s survival (AUC=0.800, 95% CI: 0.698-0.902, p < 0.001) compared with using any single indicator alone. Last, we incorporated TLS density, NLR, and other parameters into the nomogram to provide a reproducible approach for survival prediction in HCC clinical practice.ConclusionThe combination of TLS density and NLR was shown to be a good predictor of HCC patient survival. It also provides a novel direction for the evaluation of immunotherapies in HCC.

scholarly journals Proportions of Beneficial Factors in MLR, NLR, PLR and D-dimer in Preoperative Peripheral Blood of Patients With Early Stage Lung Cancer as Predictors of Patient Survival After Surgery

2021 ◽  
Author(s):  
jun wang ◽  
huawei li ◽  
ran xu ◽  
tong lu ◽  
jiaying zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Early Stage ◽  
Progression Free Survival ◽  
Early Stage Lung Cancer ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
D Dimer

Abstract ObjectiveThe purpose of this paper is to predict the following items. preoperative baseline monocyte-to-lymphocyte ratio (MLR)、neutrophil-to-lymphocyte ratio (NLR) Platura-to-lymphocyte ratio (PLR) and dimeric fibrin fragment D (D-dimer) associated with clinical outcome in patients with Early Lung Cancer (LC).MethodsWe performed a retrospective analysis of 376 patients with LC. Progression-free survival (PFS) and overall survival (OS) were assessed by Kaplan-Meier, and univariate and multivariate Cox regression analyses were performed to identify prognostic factors. Finally, multivariate Cox regression analysis was used to evaluate the influence of favorable factors on patients’ OS and PFS combined with the basic clinical characteristics of the patient ResultsAmong the variables screened by univariate Cox regression, MLR < 0.22, NLR < 1.99, PLR < 130.55 and D-Dimer < 70.5 (ng/ml) were significantly associated with both better OS and PFS. In multivariate Cox regression analysis, it was determined that MLR and D-Dimer had a better independent correlation with OS (p = 0.009, p = 0.05, respectively), while MLR was only better independently associated with PFS (P = 0.005). Furthermore, according to the number of favorable factors, patients with none of these factors had a significantly worse prognosis than patients with at least one of these factors.ConclusionBaseline characteristics of low MLR, low NLR, low PLR and low D-dimer were associated with better outcomes.

scholarly journals The Neutrophil-to-lymphocyte Ratio at the Time of Admission: A New Prognostic Indicator for Hospital Mortality of Trauma Patients

2021 ◽  
Author(s):  
Hamed Fouladseresht ◽  
Shahram Bolandparvaz ◽  
Hamid Reza Abbasi ◽  
Hossein Abdolrahimzadeh Fard ◽  
Shahram Paydar
Keyword(s):  
Survival Analysis ◽  
Hospital Mortality ◽  
Regression Models ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
Neutrophil To Lymphocyte Ratio ◽  
Trauma Patients ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Time Of Admission

The elevated neutrophil-to-lymphocyte ratio (NLR) is associated with poor clinical outcomes, especially in pro-inflammatory states such as surgical injuries and severe hemorrhages. Therefore, it was hypothesized whether NLR value at the time of admission could be a prognostic indicator of hospital mortality in trauma patients. This retrospective cohort study was conducted on 865 trauma patients referred to Rajaee Hospital between April 2016 and July 2019. The NLR value was calculated at the time of admission, and receiver operating characteristics (ROC) curve analysis was used to determine the cut-off point value of admission NLR related to hospital mortality of trauma patients. Furthermore, Kaplan-Meier survival analysis and Cox regression models have been applied to determine the effectiveness and prognostic potential of the admission NLR in the hospital mortality of trauma patients. The median age of the trauma patients was 32 years with an interquartile range (IQR) of 23 to 48 years, and most of them were male (83.9%). Also, trauma patients had a median injury severity score (ISS) of 9 (IQR=4-16) and a median Glasgow coma scale (GCS) of 14 (IQR=9-15). The cut-off value for admission NLR was 5.27 (area under the curve: 0.642, 95%CI: 0.559-0.726, p=0.001). In Kaplan-Meier survival analysis, the admission NLR>5.27 was an indicator of hospital mortality in trauma patients (p=0.001). Multivariate Cox regression models demonstrated that trauma patients with an admission NLR>5.27 had a 2.33-fold risk of hospital mortality (hazard ratio=2.33, 95%CI: 1.02-5.38, p=0.041). Furthermore, the admission NLR>5.27 was associated with a higher risk of hospital mortality in trauma patients with age≥65 years, systolic blood pressure≤90 mmHg, blood potassium>4.5 mmol/L, blood sodium>144 mEq/L, blood potential hydrogen (pH)≤7.28, GCS≤8, ISS>24 and blood base excess≤-6.1 mEq/L. The NLR value greater than 5.27 at the time of admission was associated with poorer outcomes, and it can be considered an independent prognostic indicator of hospital mortality in trauma patients.

The prognostic value of baseline neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for predicting clinical outcome in patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) treated with liposomal irinotecan (nal-IRI; MM-398) + 5-fluorouracil and leucovorin (5-FU/LV) vs 5-FU/LV.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15795-e15795 ◽  
Author(s):  
Andrea Wang-Gillam ◽  
Li-Tzong Chen ◽  
Chung-Pin Li ◽  
Gyorgy Bodoky ◽  
Andrew Dean ◽  
...  
Keyword(s):  
Cox Regression ◽  
Prognostic Significance ◽  
Progression Free Survival ◽  
Exploratory Analysis ◽  
Ductal Adenocarcinoma ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
Liposomal Irinotecan

e15795 Background: Increased NLR and PLR have been associated with poor survival in several malignancies. Here we report the association of NLR and PLR with overall survival (OS) and progression-free survival (PFS) in the NAPOLI-1 trial (NCT01494506), which evaluated nal-IRI+5-FU/LV for the treatment of mPDAC patients (pts) after disease progression following gemcitabine-based therapy. Methods: Pts missing baseline NLR/PLR data were excluded. Medians reflect Kaplan-Meier estimates; hazard ratios (HRs) reflect Cox regression analysis. P values in this exploratory analysis are descriptive. Results: Of 116 evaluable pts in the nal-IRI+5-FU/LV arm, 82 (71%) had NLR ≤5 and 44 (38%) had PLR ≤150 (data cutoff: Nov 16, 2015). Of 105 evaluable pts in the 5-FU/LV control arm, 73 (70%) had NLR ≤5 and 36 (34%) had PLR ≤150. In pts with baseline NLR ≤5 or PLR ≤150, median OS and PFS were significantly longer in the nal-IRI+5-FU/LV treatment arm vs the 5-FU/LV control arm (Table). In pts with baseline NLR >5 or PLR >150, median OS and PFS were numerically longer in the treatment vs control arm, but differences were less compelling (95% CIs for HRs included 1). Conclusions: Median OS and PFS were improved with nal-IRI+5-FU/LV vs 5-FU/LV in pts with baseline NLR ≤5 or PLR ≤150. This exploratory analysis extends the prognostic significance of NLR and PLR to the post-gemcitabine setting. Clinical trial information: NCT01494506. [Table: see text]

Prognostic value of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with colorectal cancer.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 551-551 ◽  
Author(s):  
Jae Hyun Kim ◽  
Seun Ja Park
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Value ◽  
Cox Regression ◽  
Neutrophil To Lymphocyte Ratio ◽  
Platelet To Lymphocyte Ratio ◽  
Poor Overall Survival ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Independent Risk Factors

551 Background: Inflammatory response plays an important role in the pathogenesis of cancer. Some evidence has suggested that elevations in the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are associated with decreased survival in various types of cancer. In this study, we aimed to evaluate the prognostic value of the NLR and PLR in patients with colorectal cancer (CRC). Methods: Between August 1995 and December 2010, medical records from a total of 2,004 patients with CRC were retrospectively reviewed. The values of simple inflammatory markers including NLR and PLR in predicting the long-term outcomes of these patients were evaluated using Kaplan-Meier curves and multivariate Cox regression models. Results: The median follow-up duration was 42 months (interquartile range, 19 – 69). The estimation of NLR and PLR was based on the time of diagnosis. In multivariate Cox regression analysis, high NLR ( ≥ 2.6) [hazard ratio (HR) 2.251, 95% confidence interval (CI) 1.570-3.228, p < 0.001] and high PLR ( ≥ 155) [HR 1.473, 95% CI 1.019 – 2.128, p = 0.039] were independent risk factors predicting poor overall survival (OS) in CRC patients. Combined high NLR and PLR was also an independent risk factor predicting poor OS in patients with CRC [HR 2.316, 95% CI 1.529 – 3.508, p < 0.001]. Conclusions: In this study, we identified that high NLR ( ≥ 2.6), high PLR ( ≥ 155), and combined high NLR and PLR are useful prognostic factors to predict OS in CRC patients.

scholarly journals Duration of Acute Kidney Injury and in-hospital Mortality in Elder Patients With Severe COVID-19: a Retrospective Cohort Study

2021 ◽  
Author(s):  
Yue Cai ◽  
Qinglin Li ◽  
Shanshan Guo ◽  
Yanyan Chen ◽  
Fang Wang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Kidney Injury ◽  
Final Analysis ◽  
Prognostic Impact ◽  
Cox Regression Analysis ◽  
Elder Patients ◽  
Kaplan Meier ◽  
Transient Aki

Abstract Background Patients with severe coronavirus disease 2019 (COVID-19) who develop acute kidney injury (AKI) in the intensive care unit (ICU) have extremely high rates of mortality. This study evaluated the prognostic impact of AKI duration on in-hospital mortality in elder patients.Methods We performed a retrospective study of 126 patients with confirmed COVID-19 with severe or critical disease who treated in the ICU from February 4, 2020, to April 16, 2020. AKI was defined according to the Kidney Disease Improving Global Outcomes serum creatinine (Scr) criteria. AKI patients were divided into transient AKI and persistent AKI groups based on whether Scr level returned to baseline within 48 h post-AKI.Results In total, 107 patients were included in the final analysis. The mean age was 70 (64–78) years, and 69 (64.5%) patients were men. AKI occurred in 48 (44.9%) during their ICU stay. Of these, 11 (22.9%) had transient AKI, 37 (77.9%) had persistent AKI. In-hospital mortality was 18.6% (n =11) for patients without AKI, 72.7% (n=8) for patients with transient AKI, and 86.5% (n=32) for patients with persistent AKI (P<0.001). Kaplan–Meier curve analysis revealed that patients with both transient AKI and persistent AKI had significantly higher death rates than those without AKI (log-rank P<0.001). Multivariate Cox regression analysis revealed that transient and persistent AKI were an important risk factor for in-hospital mortality in older patients with severe COVID-19 even after adjustment for variables (hazard ratio [HR]=2.582; 95% CI: 1.025–6.505; P=0.044; and HR=6.974; 95% CI: 3.334–14.588; P<0.001).Conclusions AKI duration is a useful parameter to predict of worse clinical outcomes in elder patients with COVID-19 in the ICU. Among AKI patients, those persistent AKI have a lower in-hospital survival rate than those transient AKI, emphasizing the importance of identifying an appropriate treatment window for early intervention.

scholarly journals Lung Ultrasound Score as a Predictor of Mortality in Patients With COVID-19

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhenxing Sun ◽  
Ziming Zhang ◽  
Jie Liu ◽  
Yue Song ◽  
Shi Qiao ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Lung Ultrasound ◽  
Cox Regression ◽  
Laboratory Data ◽  
Characteristic Analysis ◽  
Cox Regression Analysis ◽  
Reactive Protein ◽  
Kaplan Meier ◽  
Ultrasound Score ◽  
Male Sex

Background: Lung injury is a common condition among hospitalized patients with coronavirus disease 2019 (COVID-19). However, whether lung ultrasound (LUS) score predicts all-cause mortality in patients with COVID-19 is unknown. The aim of the present study was to explore the predictive value of lung ultrasound score for mortality in patients with COVID-19.Methods: Patients with COVID-19 who underwent lung ultrasound were prospectively enrolled from three hospitals in Wuhan, China between February 2020 and March 2020. Demographic, clinical, and laboratory data were collected from digital patient records. Lung ultrasound scores were analyzed offline by two observers. Primary outcome was in-hospital mortality.Results: Of the 402 patients, 318 (79.1%) had abnormal lung ultrasound. Compared with survivors (n = 360), non-survivors (n = 42) presented with more B2 lines, pleural line abnormalities, pulmonary consolidation, and pleural effusion (all p &lt; 0.05). Moreover, non-survivors had higher global and anterolateral lung ultrasound score than survivors. In the receiver operating characteristic analysis, areas under the curve were 0.936 and 0.913 for global and anterolateral lung ultrasound score, respectively. A cutoff value of 15 for global lung ultrasound score had a sensitivity of 92.9% and specificity of 85.3%, and 9 for anterolateral score had a sensitivity of 88.1% and specificity of 83.3% for prediction of death. Kaplan–Meier analysis showed that both global and anterolateral scores were strong predictors of death (both p &lt; 0.001). Multivariate Cox regression analysis showed that global lung ultrasound score was an independent predictor (hazard ratio, 1.08; 95% confidence interval, 1.01–1.16; p = 0.03) of death together with age, male sex, C-reactive protein, and creatine kinase-myocardial band.Conclusion: Lung ultrasound score as a semiquantitative tool can be easily measured by bedside lung ultrasound. It is a powerful predictor of in-hospital mortality and may play a crucial role in risk stratification of patients with COVID-19.

scholarly journals Preoperative inflammatory markers of NLR and PLR as indicators of poor prognosis in resectable HCC

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7132 ◽  
Author(s):  
Dong Wang ◽  
Ning Bai ◽  
Xi Hu ◽  
Xi Wu OuYang ◽  
Lei Yao ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Liver Resection ◽  
Inflammatory Markers ◽  
Cox Regression ◽  
Cancer Prognosis ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Tumor Number ◽  
Cell Propagation

Background Many recent studies have demonstrated the predominant role chronic inflammation plays in cancer cell propagation, angiogenesis and immunosuppression. Cancer-related inflammation (CRI) has been shown to correlate with poor cancer prognosis. Our study aimed to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with hepatocellular carcinoma (HCC) who have undergone liver resection. Methods Between 2012 and 2015, 239 patients with HCC who had undergone liver resection at XiangYa Hospital Central South University were included in this study. The values of simple inflammatory markers, including the NLR and PLR, used in predicting the long-term outcomes of these patients were evaluated using Kaplan–Meier curves and Cox regression models. Results The cutoff values of the NLR and PLR were 2.92 and 128.1, respectively. In multivariate Cox regression analysis, high NLR (≥2.92) and high PLR (≥128.1) were independent risk factors predicting poorer outcomes in patients with HCC. However, high NLR and high PLR were prognostic factors in tumor size and tumor number. Conclusions In this study, we identified that high NLR (≥2.92) and high PLR (≥128.1) are useful prognostic factors in predicting outcomes in patients with HCC whom underwent liver resection.

scholarly journals Methylprednisolone was Associated with Reduced in-Hospital Mortality in COVID-19 Patients with Low Lymphocyte Counts: a Multicenter Retrospective Propensity Analysis

2021 ◽  
Author(s):  
Huifang Zhang ◽  
Congliang Miao ◽  
Tao Wang ◽  
Yun Xie ◽  
Xiaolei Teng ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Lymphocyte Count ◽  
Cox Regression ◽  
Survival Curve ◽  
Hospital Death ◽  
Normal Lymphocyte ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Methylprednisolone Treatment ◽  
Novel Coronavirus

Abstract Background: To assess the effect of methylprednisolone on the prognosis of patients with novel coronavirus pneumonia.Methods: Patients with confirmed novel coronavirus pneumonia discharged from Wuhan Third Hospital Guanggu Campus, Shouyi Campus, and Lei Shen Shan Hospital from January 31, 2020, to March 4, 2020, were included. The patients were divided into treatment and control groups according to whether methylprednisolone was used during hospitalization. Propensity score (PS) matching analysis was used to assess in-hospital mortality as the primary outcome and trends in the changes in lymphocytes and the C-reactive protein, creatinine and transaminase levels 7 days after admission (secondary outcomes).Results: A total of 2,062 patients with confirmed novel coronavirus pneumonia were included in this study. Univariate Cox regression analysis suggested that methylprednisolone treatment was associated with increased in-hospital mortality (hazard ratio (HR) 3.70, 95% confidence interval (CI) 2.62-5.23, P<0.01). A total of 624 patients were included after PS matching. The patients were further subdivided into a low lymphocyte count group and a normal lymphocyte count group according to a lymphocyte count cutoff value of 0.9*109/L. Kaplan-Meier survival curve analysis showed that methylprednisolone treatment reduced the risk of in-hospital death in patients with lymphocyte counts less than 0.9×109/L (P=0.022). In contrast, in the normal lymphocyte group, methylprednisolone treatment was not associated with in-hospital mortality (p=0.88).Conclusion: Treatment with methylprednisolone may be associated with reduced in-hospital mortality in coronavirus disease (COVID) patients with low lymphocyte counts.

Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Poor Prognostic Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

Sign in / Sign up

Export Citation Format

Share Document