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 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.

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 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 Pesticides and respiratory symptoms among farmers

2005 ◽  
Vol 39 (6) ◽  
pp. 973-981 ◽  
Author(s):  
Neice Müller Xavier Faria ◽  
Luiz Augusto Facchini ◽  
Anaclaudia Gastal Fassa ◽  
Elaine Tomasi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Respiratory Disease ◽  
Logistic Regression Analysis ◽  
Respiratory Symptoms ◽  
Chronic Respiratory Disease ◽  
Pesticide Poisoning ◽  
Disease Symptoms ◽  
Asthma Symptoms ◽  
Study Results

OBJECTIVE: Despite the intensive use of pesticides in agriculture there are few studies assessing the risk of respiratory conditions from this exposure. The study aimed at quantifying the prevalence of respiratory symptoms among farmers and evaluating its relationship with occupational use of pesticides and the prevalence of respiratory symptoms. METHODS: A cross-sectional study was conducted among 1,379 farmers from two municipalities of Southern Brazil in 1996. Frequency and type of chemical exposure and pesticide poisoning were recorded for both sexes. All subjects aged 15 years or older with at least 15 weekly hours of agricultural activity were interviewed. An adapted questionnaire developed by the American Thoracic Society was used for the assessment of respiratory symptoms. Multivariate logistic regression analysis was carried out. RESULTS: More than half (55%) of interviewees were male. The prevalence of asthma symptoms was 12% and chronic respiratory disease symptoms was 22%. Higher odds ratios for both asthma (OR=1.51; 95% CI: 1.07-2.14) and chronic respiratory disease (OR=1.34; 95% CI 1.00-1.81) symptoms were found in women. Logistic regression analysis identified associations between many forms of exposure to pesticides and increased respiratory symptoms. Occurrence of pesticide poisoning was associated with higher prevalence of asthma symptoms (OR=1.54; 95% CI: 1.04-2.58) and chronic respiratory disease symptoms (OR=1.57; 95% CI: 1.08-2.28). CONCLUSIONS: In spite of causality limitations, the study results provide evidence that farming exposure to pesticides is associated with higher prevalence of respiratory symptoms, especially when the exposure is above two days per month.

scholarly journals Late Acute Kidney Injury is a Poor Prognosis Sign in Severe Burns: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Bo You ◽  
Zi Chen Yang ◽  
Yu Long Zhang ◽  
Yu Chen ◽  
Yun Long Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Multiple Logistic Regression Analysis ◽  
Kidney Injury ◽  
Occurrence Rate ◽  
Severe Burns ◽  
Epidemiological Characteristics

Abstract BackgroundAcute kidney injury (AKI) is a morbid complication and the main cause of multiple organ failure and death in severely burned patients. The objective of this study was to explore the epidemiological characteristics, the risk factors, and impact of both early and late AKIs, respectively.MethodsThis retrospective study was performed with prospectively collected data of severely burned patients from the Institute of Burn Research in Southwest Hospital during 2011-2017. AKI was diagnosed according to Kidney Disease Improving Global Outcomes (KDIGO) criteria (2012), and it was divided into early and late AKIs depending on its onset time (within the first 3 days or >3 days post burn). The baseline characteristics, clinical data, and outcomes of the three groups (early AKI, late AKI and non-AKI) were compared using logistic regression analysis. Mortality predictors of patients with AKI were assessed.ResultsA total of 637 patients were included in analysis. The incidence of AKI was 36.9% (early AKI 29.4%, late AKI 10.0%). The mortality of patients with AKI was 32.3% (early AKI 25.7%, late AKI 56.3%), and that of patients without AKI was 2.5%. AKI was independently associated with obviously increased mortality of severely burned patients [early AKI, OR = 12.98 (6.08-27.72); late AKI, OR = 34.02 (15.69-73.75)]. Multiple logistic regression analysis revealed that age, gender, total burn surface area (TBSA), full-thickness burns of TBSA, chronic comorbidities (hypertension or/and diabetes), hypovolemic shock of early burn, and tracheotomy were independent risk factors for both early and late AKIs. However, sepsis was only a risk factor for late AKI. Decompression escharotomy was a protective factor for both AKIs. ConclusionsAKI remains prevalent and is associated with high mortality in severely burned patients. Compared with early AKI, late AKI has a lower occurrence rate, but greater severity and worse prognosis，is a devastating complication. Late AKI is a poor prognosis sign in severe burns.

Abstract 1847: Prognostic Impact Of Previous Percutaneous Coronary Interventions On Coronary Artery Bypass Graft Surgery: A Multicentric Analysis FromThe German Federal State North-Rhine-Westphalia

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Parwis Massoudy ◽  
Matthias Thielmann ◽  
Nils Lehmann ◽  
Anja Marr ◽  
Georg Kleikamp ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Artery Bypass ◽  
Federal State ◽  
Multivariable Logistic Regression Analysis ◽  
Percutaneous Coronary ◽  
German Federal State

Background: We have previously shown that multiple prior percutaneous coronary intervention (PCI) procedures adversely affect outcome after subsequent coronary artery bypass grafting (CABG). We were now interested to investigate this effect on a multicentric basis. Methods: Eight cardiac surgical centers from the German Federal State of North-Rhine-Westphalia provided outcome data of 37140 consecutive patients having undergone isolated first-time CABG between 01/2000 and 12/2005. Twenty-two patient characteristics and outcome variables, which are part of a collection of data claimed by the national medical quality-control commission, were retrieved from the individual databases. Three groups of patients were analyzed for overall in-hospital mortality and major adverse cardiac events (MACE): Patients without a previous PCI procedure, patients with 1 previous PCI procedure and patients with ≥2 previous PCI procedures before surgery. Unadjusted univariable and risk-adjusted multivariable logistic regression analysis were applied. Computed propensity-score matching was performed based on 15 patient major risk factors to correct for and minimize selection bias. Results: A total of 10.3% of patients had 1 previous PCI procedure, and 3.7% of patients had ≥2 previous PCI procedures. Risk-adjusted multivariable logistic regression analysis of ≥2 previous PCI significantly correlated with in-hospital mortality (odds ratio [OR], 2.0; confidence interval [CI], 1.4–3.0; P <0.0005) and MACE (OR, 1.5; CI, 1.2–1.9; P <0.0013). After propensity score matching, conditional logistic regression analysis confirmed the results of adjusted analysis. A history of ≥2 previous PCI procedures was significantly associated with in-hospital mortality (OR, 1.9; CI, 1.3–2.7; P =0.0016) and MACE (OR, 1.5; CI, 1.2–1.9; P =0.0019). Conclusions: This large multicentric trial supports earlier results of our single-center analysis, multiple previous PCI procedures significantly increased the event of in-hospital mortality and MACE after subsequent CABG.

scholarly journals Real-world clopidogrel utilization in acute coronary syndromes: patients selection and outcomes in a single-center experience

2017 ◽  
Vol 11 (12) ◽  
pp. 323-331 ◽  
Author(s):  
Diego Castini ◽  
Simone Persampieri ◽  
Sara Cazzaniga ◽  
Giulia Ferrante ◽  
Marco Centola ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Adverse Events ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Left Ventricular ◽  
Hospital Death ◽  
Multivariable Logistic Regression Analysis ◽  
Killip Class ◽  
Female Sex

Background: With this study, we sought to identify patient characteristics associated with clopidogrel prescription and its relationship with in-hospital adverse events in an unselected cohort of ACSs patients. Materials and Methods: We studied all consecutive patients admitted at our institution for ACSs from 2012 to 2014. Patients were divided into two groups based on clopidogrel or novel P2Y12 inhibitors (prasugrel or ticagrelor) prescription and the relationship between clopidogrel use and patient clinical characteristics and in-hospital adverse events was evaluated using logistic regression analysis. Results: The population median age was 68 years (57–77 year) and clopidogrel was prescribed in 230 patients (46%). Patients characteristics associated with clopidogrel prescription were older age, female sex, non-ST-elevation ACS diagnosis, the presence of diabetes mellitus and anemia, worse renal and left ventricular functions and a higher Killip class. Patients on clopidogrel demonstrated a significantly higher incidence of in-hospital mortality (4.8%) than prasugrel and ticagrelor-treated patients (0.4%), while a nonstatistically significant trend emerged considering bleeding events. However, on multivariable logistic regression analysis female sex, the presence of anemia and Killip class were the only variables independently associated with in-hospital death. Conclusion: Patients treated with clopidogrel showed a higher in-hospital mortality. However, clinical variables associated with its use identify a population at high risk for adverse events and this seems to play a major role for the higher in-hospital mortality observed in clopidogrel-treated patients.

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