scholarly journals Prognostic Value of Neutrophil-to-Lymphocyte Ratio in Patients With Sepsis

2021 ◽  
Author(s):  
Xinyu Liao ◽  
Fuxing Li ◽  
Fuke Wang ◽  
Guoliang Wang ◽  
Yaxing Zheng ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Sofa Score ◽  
Prognostic Value ◽  
Laboratory Data ◽  
Neutrophil To Lymphocyte Ratio ◽  
Univariate Logistic Regression Analysis ◽  
Lymphocyte Ratio ◽  
Reactive Protein

Abstract Objective: We attempt to evaluate the role of neutrophil-to-lymphocyte ratio (NLR) in predicting 28-day mortality in patients with sepsis to investigate its prognostic value.Method: Relevant clinical and laboratory data of 91 healthy controls, 87 non-septic patients admitted to intensive care unit (ICU) and 127 septic patients on admission were collected, and septic patients were divided into survival (n=79) and death groups (n=48) according to their prognoses. NLR levels among different groups were compared and analyzed for associations with C-reactive protein (CRP), procalcitonin (PCT) and SOFA score. Univariate logistic regression analysis was used to assess the prognostic value of the NLR in patients with sepsis. Result: The NLR level was significantly higher in the septic patients compared to the case controls and healthy individuals (P < 0.05), and was much higher in septic patients who died (P < 0.05). ROC analysis indicated that the NLR had the best prognostic value for sepsis, with an AUC of 0.77 (95% CI: 0.69-0.84). Univariate logistic regression analysis suggested that NLR >8.25 was an independent risk factor for sepsis (odds ratio [OR] 6.39, P = 0.001). Correlation analysis suggested that the NLR was positively correlated with CRP, PCT and SOFA score.Conclusion: Peripheral serum NLR appeares to have a predictive value for 28-day mortality in patients with sepsis.

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.

Gender-specific association between neutrophil-to-lymphocyte ratio and arterial stiffness in an apparently healthy population undergoing a health examination

Vascular ◽  
2019 ◽  
Vol 27 (6) ◽  
pp. 668-676
Author(s):  
Yihu Yi ◽  
Lingyun Zhou ◽  
Shanru Zuo ◽  
Wenjun Yin ◽  
Daiyang Li ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Arterial Stiffness ◽  
Logistic Regression Analysis ◽  
Partial Correlation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Healthy Population ◽  
Lymphocyte Ratio ◽  
Apparently Healthy

Objective Neutrophil-to-lymphocyte ratio (NLR) value has emerged as a cardiovascular prognostic marker. Although several recent studies suggested NLR was associated with arterial stiffness, it was still controversial. The aim of this study was to investigate the correlation between NLR and arterial stiffness by measuring of brachial-ankle pulse wave velocity (baPWV) in an apparently healthy population. Methods This retrospective study enrolled 5612 participants during the health examinations from 1 October 2007 to 30 September 2011. Arterial stiffness was measured by baPWV. NLR was calculated as the ratio of the absolute neutrophil count to the absolute lymphocyte count in peripheral blood. According to the quartiles of NLR, the patients were categorized into four groups in males and females, respectively. Associations between NLR and baPWV were evaluated using partial correlation and multivariate logistic regression analysis. Results Both female and male subjects with increased arterial stiffness (baPWV ≥ 1400 cm/s) were likely to be older (females: P < 0.001, males: P < 0.001) and have higher systolic blood pressure (females: P < 0.001, males: P < 0.001), diastolic blood pressure (females: P < 0.001, males: P < 0.001), fasting plasma glucose (females: P < 0.001, males: P < 0.001), serum total cholesterol (females: P < 0.001, males: P = 0.028), triglyceride (females: P < 0.001, males: P = 0.031), urea nitrogen (females: P < 0.001, males: P < 0.001) than those without increased arterial stiffness. In addition, compared to those without increased arterial stiffness, body mass index ( P < 0.001), waist circumference ( P < 0.001), low-density lipoproteins cholesterol ( P < 0.001), creatinine ( P < 0.001), uric acid ( P < 0.001) and lymphocytes ( P = 0.001) were higher in females with increased arterial stiffness. However, males with increased arterial stiffness had higher NLR value (2.0 ± 0.7 vs. 2.1 ± 0.9, P < 0.001) and neutrophils (4.3 ± 1.4 vs. 4.5 ± 1.5, P < 0.001) than those without increased arterial stiffness, while the difference was not found in females. ANCOVA showed that males with quartile 3 and quartile 4 of NLR had greater levels of baPWV. NLR was correlated to baPWV in males by partial correlation analysis (r = 0.110, P < 0.001), but not in females. In multiple logistic regression analysis, the quartile 4 of NLR was positively associated with increased arterial stiffness in males (OR = 1.43, 95% confidence intervals [CI]=1.12–1.82, P = 0.004), but there was no obvious correlation in females. Conclusions Our findings suggest that there is a gender difference in the relationship between arterial stiffness and NLR. After adjusting for other confounders, the risk of increased arterial stiffness in apparently healthy adult males (rather than females) is independently associated with the highest quartile of NLR.

scholarly journals Higher Neutrophil-To-Lymphocyte Ratio is Associated with Depressive Symptoms in Japanese General Male Population

2022 ◽  
Author(s):  
Hirotaka Kinoshita ◽  
Daiki Takekawa ◽  
Takashi Kudo ◽  
Kaori Sawada ◽  
Tatsuya Mikami ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Logistic Regression Analysis ◽  
Laboratory Data ◽  
Multivariate Logistic Regression Analysis ◽  
Depression Scale ◽  
Multivariate Logistic Regression ◽  
Lymphocyte Ratio ◽  
Depression Group

Abstract Relationships between the neutrophil-lymphocyte ratio (NLR) and/or the platelet-lymphocyte ratio (PLR) and neuroinflammatory diseases have been reported. Depression is also associated with neuroinflammation. Here, we determined the association between the NLR, PLR, and depression. This cross-sectional study is a secondary analysis of the data of the Iwaki Health Promotion Project 2017. We analyzed the characteristics and laboratory data of 1,015 Japanese subjects (597 females, 408 males) including their NLR and PLR values. We assigned the subjects with a Center for Epidemiologic Studies Depression Scale (CES-D) score ≥16 to the depression group. We performed a multivariate logistic regression analysis to determine whether the NLR and/or PLR were associated with depressive symptoms (CES-D ≥16). Two hundred subjects (19.7%; 122 [20.4%] females, 78 [19.1%] males) were assigned to the depression group. There were significant differences between the depression and non-depression groups in the NLR [median (25th to 75th percentile): 1.54 (1.24, 1.97) vs. 1.76 (1.32, 2.37), p=0.005] and the PLR [median (25th to 75th percentile): 123.7 (102.0, 153.9) vs. 136.8 (107.0, 166.5), p=0.047] in males, but not in females. The multivariate logistic regression analysis demonstrated that the NLR was significantly associated with depression in the males (adjusted odds ratio: per 1 increase, 1.570; 95% confidence interval: 1.120–2.220; p=0.009). In conclusion, our findings indicate that higher NLR may be associated with depressive symptoms in males.

scholarly journals An increased pretreatment neutrophil-to-lymphocyte ratio predicts severe novel coronavirus-infected pneumonia

2020 ◽  
Author(s):  
Xiaoyue Wang ◽  
Desheng Jiang ◽  
Huang Huang ◽  
Xiaofeng Chen ◽  
Chunlei Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Early Warning ◽  
Roc Curve ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Independent Risk Factors ◽  
Novel Coronavirus

Abstract Objective The aim of this study was to identify early warning signs for severe novel coronavirus-infected pneumonia (COVID-19).Methods We retrospectively analyzed the clinical data of 90 patients with COVID-19 at the Guanggu District of Hubei Women and Children Medical and Healthcare Center comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. Logistic regression analysis was performed to identify the independent risk factors that predicted severe COVID-19. The receiver-operating characteristic (ROC) curve of independent risk factors was calculated, and the area under the curve (AUC) was used to evaluate the efficiency of the prediction of severe COVID-19.Results The patients with mild and severe COVID-19 showed significant differences in terms of cancer incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP) and the serum albumin (ALB) level (P<0.05). The severity of COVID-19 was correlated positively with the comorbidity of cancer, age, NLR, and CRP but was negatively correlated with the ALB level (P<0.05). Multivariate logistic regression analysis showed that the NLR and ALB level were independent risk factors for severe COVID-19 (OR=1.319, 95% CI: 1.043-1.669, P=0.021; OR=0.739, 95% CI: 0.616-0.886, P=0.001), with AUCs of 0.851 and 0.128, respectively. An NLR of 4.939 corresponded to the maximum joint sensitivity and specificity according to the ROC curve (0.700 and 0.917, respectively).Conclusion An increased NLR can serve as an early warning sign of severe COVID-19.

scholarly journals Predictive value of serum procalcitonin for both initial and repeated immunoglobulin resistance in Kawasaki disease: a prospective cohort study

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuran Shao ◽  
Chunyan Luo ◽  
Kaiyu Zhou ◽  
Yimin Hua ◽  
Mei Wu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Kawasaki Disease ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Laboratory Data ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Ivig Resistance ◽  
Resistance Prediction

Abstract Background Intravenous immunoglobulin (IVIG) resistance prediction is one pivotal topic of interests in Kawasaki disease (KD) since those patients with KD resistant to IVIG might improve of an early-intensified therapy. Data regarding predictive value of procalcitonin (PCT) for IVIG resistance, particularly for repeated IVIG resistance in KD was limited. This study aimed to testify the predictive validity of PCT for both initial and repeated IVIG resistance in KD. Methods A total of 530 KD patients were prospectively recruited between January 2015 and March 2019. The clinical and laboratory data were compared between IVIG-responsive and IVIG-resistant groups. Multivariate logistic regression analysis was applied to determine the association between PCT and IVIG resistance. Receiver operating characteristic (ROC) curves analysis was further performed to assess the validity of PCT in predicting both initial and repeated IVIG resistance. Results The serum PCT level was significantly higher in initial IVIG-resistance group compared with IVIG-response group (p = 0.009), as well as between repeated IVIG responders and nonresponders (p = 0.017). The best PCT cutoff value for initial and repeated IVIG resistance prediction was 1.48 ng/ml and 2.88 ng/ml, respectively. The corresponding sensitivity was 53.9 and 51.4%, while the specificity were 71.8 and 73.2%, respectively. Multivariate logistic regression analysis failed to identify serum PCT level as an independent predictive factor for both initial and repeated IVIG resistance in KD. Conclusions Serum PCT levels were significantly higher in IVIG nonresponders, but PCT may not be suitable as a single marker to accurately predict both initial and repeated IVIG resistance in KD.

scholarly journals Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure

2017 ◽  
Vol 41 (3) ◽  
pp. 865-874 ◽  
Author(s):  
Junjie Xiao ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Qiulian Zhou ◽  
Yanli Zhou ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Univariate Logistic Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Identification of novel biomarkers to identify acute heart failure (AHF) patients at high risk of mortality is an area of unmet clinical need. Recently, we reported that the baseline level of circulating miR-30d was associated with left ventricular remodeling in response to cardiac resynchronization therapy in advanced chronic heart failure patients. However, the role of circulating miR-30d as a prognostic marker of survival in patients with AHF has not been explored. Methods: Patients clinically diagnosed with AHF were enrolled and followed up for 1 year. Quantitative reverse transcription polymerase chain reactions were used to determine serum miR-30d levels. The univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the predictors for all-cause mortality in AHF patients. Kaplan–Meier survival analysis was used to analyze the role of miR-30d in prediction of survival. Results: A total of 96 AHF patients were enrolled and followed up for 1 year. Serum miR-30d was significantly lower in AHF patients who expired in the one year follow-up period compared to those who survived. Univariate logistic regression analysis yielded 18 variables that were associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 4 variables including heart rate, hemoglobin, serum sodium, and serum miR-30d level associated with mortality. ROC curve analysis showed that hemoglobin, heart rate and serum sodium displayed poor prognostic value for AHF (AUCs not higher than 0.700) compared to miR-30d level (AUC = 0.806). Kaplan–Meier survival analysis confirmed that patients with higher serum miR-30d levels had significantly lower mortality (P=0.001). Conclusion: In conclusion, this study shows evidence for the predictive value of circulating miR-30d as 1-year all-cause mortality in AHF patients. Large multicentre studies are further needed to validate our findings and accelerate the transition to clinical utilization.

scholarly journals Clinical Characteristics, Serum Uric Acid and Bullosis Diabeticorum Outcomes in Patients With Diabetes Mellitus

2021 ◽  
Author(s):  
Yulan Cai ◽  
Shili Zhang ◽  
Ying Cao ◽  
Fang Gao ◽  
Mengchen Zou
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Laboratory Data ◽  
Control Group ◽  
Multivariable Logistic Regression Analysis ◽  
Diabetic Patients ◽  
Patients With Diabetes ◽  
Bullosis Diabeticorum

Abstract Background: Bullosis diabeticorum (BD) is a spontaneous, non-inflammatory vesicular disease of diabetes, with the observed risk of infection, including diabetic skin ulcers, osteomyelitis and even leading to amputation. However, the exact cause of BD is not well understood. So the aim of this study is to explore the high-risk factors of BD for preventing its occurrence.Methods: A retrospective study was conducted, including baseline characteristics, laboratory data, and bullosis diabeticorum outcomes of 602 patients with bullosis diabeticorum. Besides, 904 diabetic patients without bullosis diabeticorum in the same period were randomly selected as the control group. The indicators of the two groups were compared. Multivariable logistic regression analysis was performed to investigate which indicator was most associated with bullosis diabeticorum outcomes.Results: SCr[145.00(69.00-195.00) μmol/L, n = 602 vs. 81.00(27.40-35.60) μmol/L, n= 904, p=0.032], BUA [674.00(372.50-758.50) µmol/L, n = 602 vs. 318.50(241.75-415.25) µmol/L, n= 904, p = 0.003] and Cys-C[1.96(1.10-2.95) mg/L, n = 602 vs. 1.49(1.10-1.62) mg/L, n = 904, p=0.004] was significantly higher in BD-positive patients than that in BD-negative patients, whereas eGFR [67.38(45.33-87.53) ml/min, n = 602 vs. 75.86(56.80-95.69) ml/min, n = 904, p=0.038] of patients with BD was significantly lower than that of patients without BD. Multiple logistic regression analysis showed that BUA, but not SCr, Cys-C and eGFR, was independently and significantly associated in a positive manner with BD (odds ratio: 8.569, 95% confidence interval: 1.136-55.250, p=0.004).Conclusion: We found a positive and independent association of BUA with BD, which provides a great clinical predictive factor for BD and helps to prevent the appearance of diabetic foot.

scholarly journals The prognostic value of tumor size in penile cancer: A Surveillance,Epidemiology, and End Results database study

2020 ◽  
Author(s):  
Wenwen Zheng ◽  
Zhiyu Zhang ◽  
Xilei Xie ◽  
Weiwei Zhu ◽  
Kangqi Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Logistic Regression Analysis ◽  
Tumor Size ◽  
Prognostic Value ◽  
Penile Cancer ◽  
Node Metastasis ◽  
End Results

Abstract Background: The objective of this study was to investigate the prognostic value of tumor size on cancer-specific mortality (CSM) and lymph node metastasis for patients with penile squamous cell carcinoma (PSCC).Method: The patients diagnosed with PSCC between 2004 and 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Restricted cubic spline functions were calculated to characterize the association between tumor size and the risk of CSM. The competing-risks model was used to evaluate the impact of tumor size on the cumulative incidence of CSM. The logistic regression analysis was performed to examine the association between tumor size and lymph node metastasis.Results: Totally, 1365 PSCC patients were analyzed, with 52.3% having tumors ≤30 mm, and 47.7% >30 mm. The restricted cubic splines showed that the risks of CSM increased as tumors enlarged. Following adjustment of competing events, the PSCC patients with tumors >30 mm were more likely to succumb to CSM in comparison with those with tumors ≤30 mm (hazard ratio [HR]=1.57, 95% confidence interval [CI]: 1.23-2.01, P<0.001). In subgroup analyses, tumor size >30 mm was significantly associated with an increased risk of CSM relative to tumor size ≤30 mm among patients with T1 (HR=1.56, 95%CI: 1.03-2.37, P=0.036) and T3 (HR=2.51, 95%CI: 1.41-4.45, P=0.002) classifications. On logistic regression analysis, tumors >30 mm were significantly associated with lymph node metastasis (odds ratio [OR]=1.46, 95% CI: 1.03-2.07, P=0.034).Conclusion: Larger tumors (>30 mm) were significantly associated with higher risks of CSM and increased likelihood of lymph node metastasis for PSCC patients, which could be integrated into the development of a staging system for penile cancer.

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