Dataset Information

Neutrophil-Lymphocyte Ratio in Predicting Infective Endocarditis: A Case-Control Retrospective Study

ABSTRACT:

Background

Infective endocarditis (IE) is a complex infectious disease with high morbidity and mortality. The inflammation mechanism of IE is a complex network including interactions of inflammatory cytokines and other components of host response. As an important inflammation marker, the prediction ability of neutrophil-to-lymphocyte ratio (NLR) in IE deserves further investigation.

Methods

NLR values were measured and compared between IE patients and healthy controls, good and bad clinical outcome groups. The receiver operating characteristic curves (ROCs) of NLR and cut-off values were measured in IE patients, pathogen-subgroups, and different clinical outcome groups.

Results

There were 678 IE patients and 2520 healthy controls enrolled in our study. The number of good and bad clinical outcome patients was 537 and 141, respectively. The value of NLR was significantly higher in IE patients than healthy controls (6.29 ± 9.36 vs. 1.87 ± 0.34, p < 0.001), and the area under the ROC (AUC) was 0.817 (95% CI (0.794, 0.839), p < 0.001). The critical value of NLR for diagnosis of IE was 2.68, with a sensitivity of 69%, and a specificity of 88%. The value of NLR was significantly higher in bad clinical outcome patients than in good clinical outcome patients (5.8 ± 6.02 vs. 3.62 ± 2.61, p < 0.001). The critical value of NLR to predict the outcome of IE was 5.557, with a sensitivity of 39.0% and a specificity of 85.3%.

Conclusions

NLR is a predictive marker for IE patients, especially in Gram-negative bacteria and Gram-positive bacteria-infected IE patients. NLR also can predict the outcome of IE. Early detecting NLR upon admission may assist in early diagnosis and risk stratification of patients with IE.

SUBMITTER: Chen Y

PROVIDER: S-EPMC7735837 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundTo assess the usefulness of the neutrophil/lymphocyte ratio (NLR), a marker of inflammation and/or stress, for predicting weaning failure in patients receiving invasive mechanical ventilation (IMV), compared to levels of leukocytes and C-reactive protein (CRP).MethodsThis observational prospective cohort study was conducted from July 2013 to December 2016 in an intensive care unit in China, enrolling 269 consecutive patients receiving IMV. Patients underwent a spontaneous breathing trial (SBT) if they were ready to wean, and underwent extubation if they passed the SBT. The evaluated markers were measured immediately prior to SBT, and compared between weaning-failure and weaning-success patients. Receiver-operating characteristic (ROC) curve and logistic regression analyses were used to evaluate the ability of these markers to predict weaning failure.ResultsIn all, 94 (34.9%) patients failed the weaning process (66 failed SBT and 28 presented with post-extubation respiratory distress). NLR was a better predictor of failure (area under the ROC curve, 0.69; 95% CI, 0.62-0.76) than leukocyte levels (0.60, 0.53-0.67) and CRP values (0.58, 0.51-0.65). NLR >11, leukocyte counts >10.5×109/L, and CRP >58 mg/L prior to weaning had the best combination of sensitivity (73%, 64%, and 63%, respectively), specificity (59%, 55%, and 63%), positive predictive value (49%, 43%, and 48%), negative predictive value (81%, 74%, and 76%), and diagnostic accuracy (64%, 58%, and 63%) for predicting weaning failure. However, only NLR >11 (odds ratio, 5.91; 95% CI, 3.08-11.33; P<0.001) was an independent predictor of weaning failure in the adjusted logistic regression model.ConclusionsNLR may be a useful marker for predicting weaning failure, and weaning at NLR >11 might be considered with caution. Further study with a larger sample size and with weaning outcome as a variable of concern is warranted. Trial registration: ClinicalTrials.gov identifier: NCT02981589.

Project description:Introduction and objectives In patients with coronavirus disease 2019 (COVID-19), several abnormal hematological biomarkers have been reported. The current study aimed to find out the association of neutrophil to lymphocyte ratio (NLR) and derived NLR (dNLR) with COVID-19. The objective was to compare the accuracy of both of these markers in predicting the severity of the disease. Materials and methods The study was conducted in a single-center having patients with COVID-19 with a considerable hospital stay. NLR is easily calculated by dividing the absolute neutrophil count (ANC) with the absolute lymphocyte count (ALC) {ANC/ALC}, while dNLR is calculated by ANC divided by total leukocyte count minus ANC {ANC/(WBC-ANC)}. Medians and interquartile ranges (IQR) were represented by box plots. Multivariable logistic regression was performed obtaining an odds ratio (OR), 95% CI, and further adjusted to discover the independent predictors and risk factors associated with elevated NLR and dNLR. Results A total of 1,000 patients with COVID-19 were included. The baseline NLR and dNLR were 5.00 (2.91–10.46) and 4.00 (2.33–6.14), respectively. A cut-off value of 4.23 for NLR and 2.63 for dNLR were set by receiver operating characteristic (ROC) analysis. Significant associations of NLR were obtained by binary logistic regression for dependent outcome variables as ICU stay (p < 0.001), death (p < 0.001), and invasive ventilation (p < 0.001) while that of dNLR with ICU stay (p = 0.002), death (p < 0.001), and invasive ventilation (p = 0.002) on multivariate analysis when adjusted for age, gender, and a wave of pandemics. Moreover, the indices were found correlating with other inflammatory markers such as C-reactive protein (CRP), D-dimer, and procalcitonin (PCT). Conclusion Both markers are equally reliable and sensitive for predicting in-hospital outcomes of patients with COVID-19. Early detection and predictive analysis of these markers can allow physicians to risk assessment and prompt management of these patients.

Project description:Acute Limb Ischemia (ALI) of the lower limb is defined as a sudden drop in arterial limb perfusion, which is a medical emergency requiring prompt intervention with high amputation and mortality rates in the absence of revascularization. This observational, analytical, and retrospective cohort study with longitudinal follow-up aimed to confirm the relevance of the preoperative inflammatory biomarkers neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting the 30-day poor prognosis of patients with Rutherford classification (RC) grades II and III ALI. The ROC analysis found a strong association of an NLR > 4.33 with all studied outcomes, while a PLR > 143.34 was associated with all studied outcomes, except the composite endpoint in all RC stages. Depending on the optimal cut-off value, the ROC analysis found a higher incidence of all adverse outcomes in all high NLR (>4.33) and high PLR (>143.34) groups. A multivariate analysis showed that a high baseline value for NLR and PLR was an independent predictor of amputation (OR:11.09; 95% CI: 5.48-22.42; p < 0.0001; and OR:8.97; 95% CI: 4.44-18.16; p < 0.0001), mortality (OR:22.24; 95% CI: 9.61-51.47; p < 0.0001; and OR:8.32; 95% CI: 3.90-17.73; p < 0.0001), and composite endpoint (OR:21.93; 95% CI: 7.91-60.79; p < 0.0001; and OR:9.98; 95% CI: 3.89-25.55; p < 0.0001), respectively. Furthermore, for all hospitalized patients, the RC grade III (OR:7.33; 95% CI: 3.73-14.26; p < 0.0001) was an independent predictor of amputation (OR:7.33; 95% CI: 3.73-14.26; p < 0.0001), mortality (OR:8.40; 95% CI: 4.08-17.31; p < 0.0001), and composite endpoint (OR: 10.70; 95% CI: 4.48-25.56; p < 0.0001), respectively. The NLR and PLR are excellent predictors of risks associated with ALI for primary and secondary prevention. Our study showed that increased pre-operative values for NLR and PLR are indicators of a poor outcome in patients with RC grades II and III ALI.

Project description:BackgroundPostoperative pain is well known and usually disturbing complication of arthroscopic shoulder surgery. Inflammation plays an important role in the development and progression of postoperative pain. The aim of this study was to evaluate the predictability of postoperative pain through the correlation of neutrophil/lymphocyte ratio (NLR) with inflammation. In addition, the correlation of parameters such as operative time, tear size, age and gender with postoperative pain was evaluated.MethodsSixty three patients, who underwent arthroscopic rotator cuff repair, were evaluated in this single-center-based retrospective study. The American Society of Anaesthesiologists I and II risk groups were determined as the inclusion criteria. NLR was calculated using preoperative one day hemogram values in all patients. The amounts of analgesic use and Numerical Rating Scale (NRS) scores at the 12th, 24th and 48th hours and on the 3rd and 7th days were recorded. Multivariate linear regression analysis was used to correlate postoperative NRS scores with multiple independent factors, including preoperative NLR, sex, age, tear size, repair type, operative time, block time, postoperative analgesic intake and length of hospital stay.ResultsSixty three patients with a mean age of 59.4 years (range, 40-72 years) were evaluated. The mean tear size was 2.8 cm (range, 1-5 cm), the mean operative time was 84.1 min (range, 35-135 min), the mean duration of block was 7.6 hours (range, 4-12 hours) and the mean length of hospital stay was 1.7 days (range, 1-3 days). There was no significant correlation between age, sex, tear size, repair type, operative time and postoperative NRS (p > 0.2). The preoperative NLR was found to be a strong predictor of postoperative NRS (p < 0.001, rho = 0,864). There was a correlation between the NLR and mean analgesic intake (p = 0,03). The duration of block was decreased in patients with a NLR above 2, while it was prolonged in patients with a NLR below 2 (p = 0.04, rho = -0,725).ConclusionThe preoperative NLR was found to be a strongest factor predicting high acute pain levels after arthroscopic rotator cuff surgery. Likewise, NLR was also predictive of postoperative block time and analgesic consumption.