Neutrophil to lymphocyte ratio as a predictor of treatment response and mortality in septic shock patients in the intensive care unit

Neutrophil-to-Lymphocyte Ratio and Procalcitonin in Sepsis Patients: Do They Have Any Prognostic Significance?

INTRODUCTION

Biomarkers like white blood cells, C-reactive protein, procalcitonin, and interleukin-1 are used in patients with sepsis for early diagnosis, differentiating various infections, making decisions to start antibiotics and evaluate their response, and to prognosticate morbidity and mortality. Despite the availability of these biomarkers, the prognosis of patients with sepsis in the ICU remains poor. Hence, this study was carried out to test the efficacy of procalcitonin and neutrophil-to-lymphocyte ratio (NLR) to prognosticate mortality and morbidity in terms of incidence of organ dysfunction and length of ICU stay in sepsis patients.

METHODS

In this prospective observational study, we measured NLR and procalcitonin at days one, three, and seven of sepsis patients and divided them into four groups: low NLR and high procalcitonin (LNHP), high NLR and high procalcitonin (HNHP), high NLR and low procalcitonin (HNLP), and low NLR and low procalcitonin (LNLP). Mortality at 28 days was noted as the primary outcome.

RESULTS

Out of 85 patients included in the study, five were lost to follow-up. Although no statistically significant difference was found in the primary outcome between all four groups, regression analysis showed that rising NLR and procalcitonin values were associated with a significant increase in mortality.

CONCLUSION

Serial values of NLR and procalcitonin are more important in predicting severity in comparison to a single value at presentation and can be used as a prognostic marker in sepsis patients.

Is Carboxyhaemoglobin an Effective Bedside Prognostic Tool for Sepsis and Septic Shock Patients?

Introduction

Proper management of sepsis poses a challenge even today, with early diagnosis and targeted treatment being the most important steps. Easy, cost-effective bedside tools are needed in order to pinpoint towards the outcome of sepsis or septic shock.

Aim of study

This study aims to find a correlation between Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) severity scores, the Neutrophil-Lymphocytes Ratio (NLR) and carboxyhaemoglobin (COHb) levels in septic or septic shock patients with the scope of establishing a bed side cost-effective prognostic tool.

Materials and methods

A pilot, prospective, observational, and ongoing study was conducted on 61 patients admitted with sepsis or septic shock according to the SEPSIS 3 Consensus definition. We followed clinical and paraclinical parameters on day 1 (D1) and day 5 (D5) after meeting the inclusion criteria.

Results

On D1 we found a statistically significant positive correlation between each severity score (p <0.0001), r = 0.7287 for SOFA vs. APACHE II with CI: 0.5841-0.8285, r = 0.6862 for SOFA vs. SAPS II with CI: 0.5251-0.7998 and r = 0.8534 for APACHE II vs. SAPS II with CI: 0.7663 to 0.9097. On D5 we observed similar results: a significant positive correlation between each severity score (p <0.0001), with r = 0.7877 for SOFA vs. APACHE II with CI: 0.6283 to 0.8836, r = 0.8210 for SOFA vs. SAPS II with CI: 0.6822 to 0.9027 and r = 0.8880 for APACHE II vs. SAPS II., CI: 0.7952 to 0.9401. Nil correlation was found between the severity scores, NLR and COHb on D1 and D5.

Conclusion

Cost-effective bedside tools to pinpoint towards the outcome of sepsis are yet to be found, however the positive correlation between the severity scores point out to a combination of such tools for prognosis prediction of septic or septic shock patients.

The association and prognostic value of systemic inflammatory response index with short and long-term mortality in patients with sepsis

This study evaluated the association and prognostic significance of the systemic inflammation response index (SIRI) with mortality in sepsis. In this cohort study, the sepsis patients were retrieved from the Medical Information Mart for Intensive Care III (MIMIC-III) and MIMIC-IV intensive care unit (ICU) databases. SIRI was calculated by using the neutrophil, monocyte, and lymphocyte counts. The outcomes were 28-day mortality, 1-year mortality, and 28 days to 1-year mortality. The Cox proportional hazards model with a hazard ratio (HR) and a 95% confidence interval (CI) was used to investigate the association and prognostic value of SIRI with mortality in sepsis. Subgroup analyses of the associations of SIRI with 28-day and 1-year mortality in sepsis were based on age, gender, Simplified Acute Physiology Score II (SAPSII), Sequential Organ Failure Assessment (SOFA), and presence or absence of septic shock. The receiver operating characteristic (ROC) curve was used to compare the predictive performances of SIRI, SOFA and SAPS II for mortality in sepsis. Of the 4239 patients included, 1339 patients suffered from 28-day mortality, 2085 patients suffering from 1-year mortality, and 746 (25.72%) suffered from 28 days to 1-year mortality. High SIRI levels exhibited higher risks of 28-day mortality (HR: 1.15, 95% CI: 1.03-1.29, P = .010), 1-year mortality (HR: 1.14, 95% CI: 1.04-1.24, P = .003), and 28 days to 1-year mortality (HR: 1.16, 95% CI: 1.01-1.35, P = .047) in sepsis. A higher SIRI was reported related to 28-day mortality and 1-year mortality in sepsis patients with female gender, with SOFA < 8, with SAPS II < 44, and in sepsis patients without sepsis shock. The AUC of SIRS, SOFA, and SAPS II in predicting 28-day mortality in sepsis were 0.726, 0.591, and 0.644, respectively. The AUC of SIRI in predicting 1-year mortality in sepsis was 0.761, higher than the AUC values of SOFA and SAPS II. A higher AUC value of SIRI compared with SOFA, and SAPS II in predicting 28 days to 1-year mortality was observed. Elevated SIRI was associated with an increased risk of mortality in sepsis. SIRI is an independent prognostic biomarker of mortality in sepsis.

Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study

BACKGROUND

Although cases of respiratory bacterial infections associated with coronavirus disease 2019 (COVID-19) have often been reported, their impact on the clinical course remains unclear. Herein, we evaluated and analyzed the complication rates of bacterial infections, causative organisms, patient backgrounds, and clinical outcome in Japanese patients with COVID-19.

METHODS

We performed a retrospective cohort study that included inpatients with COVID-19 from multiple centers participating in the Japan COVID-19 Taskforce (April 2020 to May 2021) and obtained demographic, epidemiological, and microbiological results and the clinical course and analyzed the cases of COVID-19 complicated by respiratory bacterial infections.

RESULTS

Of the 1,863 patients with COVID-19 included in the analysis, 140 (7.5%) had respiratory bacterial infections. Community-acquired co-infection at COVID-19 diagnosis was uncommon (55/1,863, 3.0%) and was mainly caused by Staphylococcus aureus, Klebsiella pneumoniae and Streptococcus pneumoniae. Hospital-acquired bacterial secondary infections, mostly caused by Staphylococcus aureus, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia, were diagnosed in 86 patients (4.6%). Severity-associated comorbidities were frequently observed in hospital-acquired secondary infection cases, including hypertension, diabetes, and chronic kidney disease. The study results suggest that the neutrophil-lymphocyte ratio (> 5.28) may be useful in diagnosing complications of respiratory bacterial infections. COVID-19 patients with community-acquired or hospital-acquired secondary infections had significantly increased mortality.

CONCLUSIONS

Respiratory bacterial co-infections and secondary infections are uncommon in patients with COVID-19 but may worsen outcomes. Assessment of bacterial complications is important in hospitalized patients with COVID-19, and the study findings are meaningful for the appropriate use of antimicrobial agents and management strategies.

Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock

Septic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) with differential expression between septic shock and sepsis in the discovery dataset. Further gene set enrichment analysis identified upregulated neutrophil activation and impaired T-cell activation in septic shock. Co-expression analysis revealed nine co-expressed gene modules. In addition, we determined twenty-one prognostic SSAGs using cox regression analysis in an independent dataset. Moreover, protein-protein interaction (PPI) network revealed two clusters. Among these neutrophil activation was enriched in the most positively-related modules and the cluster2 PPI network, while T-cell activation was enriched in both the most negatively-related module and one of the most positively-related modules as well as the cluster1 PPI network. ELANE, LCN2 and IFI44 were identified as hub genes with CytoHubba methods and semantic similarity analysis. Notably, ELANE was the only prognostic gene and was further validated in an external dataset. Blood neutrophil count was demonstrated to increase in septic shock and be a risky factor of prognosis based on clinical data. In conclusions, septic shock is associated with upregulated neutrophil activation and dysregulated T-cell activation. Three hub genes might have potentials as sensitive markers for the further translational research and ELANE could be a robust prognostic biomarker and effective therapeutic target.

The relationship between the neutrophil-to-lymphocyte ratio and diabetic retinopathy in adults from the United States: results from the National Health and nutrition examination survey

Background

Diabetic retinopathy (DR) is a common complication of diabetes mellitus (DM). Systemic inflammation is intimately associated with DR. The neutrophil-to-lymphocyte ratio (NLR) index is a relatively new indicator of inflammation.

Methods

This cross-sectional study was carried out among adults with DM based on the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2016. NLR was presented as absolute neutrophil counts/ absolute lymphocyte counts. The relationship of NLR levels to DR was analyzed using multivariable logistic regression.

Results

There were 2772 eligible subjects extracted from the NHANES. In the multivariate analysis, NLR was related to the risk of DR after adjustment for potential confounders. The association between NLR levels and DR was nonlinear, with an inflection point of 4.778. Compared with the baseline values, NLR was not statistically significant on the right side of the inflection point (1.000, 0.914 to 1.094, 0.9974) but was positively associated with DR on the left side (1.236, 1.132 to 1.349, < 0.0001).

Conclusions

NLR reflects systemic inflammation that may increase the risk of DR. NLR positively correlates with DR when its value is less than 4.778.

Evolution of the Clinical Profile and Outcomes of Unvaccinated Patients Affected by Critical COVID-19 Pneumonia from the Pre-Vaccination to the Post-Vaccination Waves in Italy

The vaccination campaign and the new SARS-CoV-2 variants may have changed the clinical profile and outcomes of patients admitted to sub-intensive unit care. We conducted a retrospective study aimed to compare the clinical and radiological features of unvaccinated critical COVID-19 patients hospitalized during the last pandemic wave (December 2021−February 2022, No-Vax group) and before starting the vaccination campaign (March−December 2020, Pre-Vax group). The No-Vax group was also compared with vaccinated patients of the same pandemic wave (Vax group). With respect to the Pre-Vax group, the No-Vax group contained a higher percentage of smokers (p = 0.0007) and a lower prevalence of males (p = 0.0003). At admission, the No-Vax patients showed both a higher CT score of pneumonia and a worse severe respiratory failure (p < 0.0001). In the No-Vax group, a higher percentage of deaths occurred, though this was not significant. In comparison with the No-Vax group, the Vax patients were older (p = 0.0097), with a higher Charlson comorbidity index (p < 0.0001) and a significantly lower HRCT score (p = 0.0015). The percentage of deaths was not different between the two groups. The No-Vax patients showed a more severe disease in comparison with the Pre-Vax patients, and were younger and had fewer comorbidities than the Vax patients.

Predictive Value of Procalcitonin and Neutrophil-to-Lymphocyte Ratio Variations for Bloodstream Infection with Septic Shock

BACKGROUND Little is known of neutrophil-to-lymphocyte ratio (NLR) variations in septic shock. Hence, the predictive value of procalcitonin (PCT) and NLR variations for septic shock in bloodstream infection were explored. MATERIAL AND METHODS We analyzed 146 patients with bloodstream infection admitted to the Intensive Care Unit (ICU) of the First Affiliated Hospital of Anhui Medical University from October 2016 to May 2020. PCT and NLR were evaluated at 0 and 48 h after admission, and their variations (ΔPCT and DNLR) were calculated. The patients were divided into a shock group (n=80) and a non-shock group (n=66) and a gram-positive cocci group (n=69) and a gram-negative bacilli group (n=77). The predictive value of ΔPCT and DNLR was compared among groups. RESULTS AUROC of NLR0h (0.756) higher than PCT0h (0.743).DPCT (0.561 vs 0.301) and ΔNLR (0.609 vs 0.361) were significantly higher in the shock group than in the non-shock group (P<0.05). No significant difference was seen in DPCT and DNLR in the gram-positive cocci infection group. However, the gram-negative bacilli infection group showed a significant difference in ΔPCT (0.606 vs 0.312) and ΔNLR (0.872 vs 0.508) between the shock and non-shock groups (P<0.05). ΔPCT+ΔNLR showed the best area under the curve (0.937), with a high sensitivity (78.80%) and specificity (90.80%), for predicting septic shock. CONCLUSIONS The prediction efficiency of initial NLR is higher than that of PCT. ΔPCT+ΔNLR best predicted septic shock in patients with bloodstream infections, with better accuracy for gram-negative infections.

Association between neutrophil-to-lymphocyte ratio in the first seven days of sepsis and mortality

INTRODUCTION

The neutrophil-to-lymphocyte ratio (NLR) in the diagnosis of sepsis has been found to be higher in non-survivors than in survivors, and that is associated with mortality. A higher NLR in non-survivors than in survivors has been reported in two studies during patient follow-up; however, NLR was not controlled for sepsis severity. Thus, the objective of this study was to determine whether there is an association between NLR in the first seven days and mortality controlling for sepsis severity.

METHODS

This observational study, which included septic patients, was conducted in the Intensive Care Units of 3 Spanish hospitals. NLR was recorded on the first, fourth, and eighth day of sepsis. Multiple logistic regression analyses were carried out to determine the association between NLR during the first 7 days of sepsis diagnosis and mortality controlling for sepsis severity.

RESULTS

Thirty-day non-surviving patients (n=68) compared to surviving patients (n=135) showed higher NLR on the first (p<0.001), fourth (p<0.001), and eighth (p<0.001) day of sepsis diagnosis. Multiple logistic regression analysis found an association between NLR at days first (p<0.001), fourth (p=0.004), and eighth (p=0.01) of sepsis diagnosis and mortality controlling for SOFA and lactic acid in those days.

CONCLUSIONS

The new finding of our study was the association between NLR in the first seven days of sepsis and mortality controlling for sepsis severity.

The role of neutrophil-to-lymphocyte ratio as an outcome predictor factor in acute appendicitis: a single medical center’s experience

Introduction: Acute abdominal pain persists in defying modern diagnostic procedures. Inflammatory response variables in urine and blood tests can help rule out other disorders and support a clinical diagnosis of acute appendicitis (AA), but there is no specific blood test that can diagnose AA. In order to address this, our study sought to establish the value of (NLR) as a prognostic and severity predictor in patients with AA.

Material and method: We conducted an observational retrospective study of 356 patients who had undergone surgery for AA, assessing NLR as an outcome metric. The NLR was estimated using the differential WBC (white blood count) reported on admission; the data obtained were then recorded in a database and statistically analyzed.

Results: The NLR medians correlated (p<0.001) in uncomplicated AA, AA with localized peritonitis, and AA with generalized peritonitis (Kruskal-Wallis test). The ROC curve identified 81.4 % sensitivity, 62.5 % specificity, and a 73 % AUC in localized peritonitis. The NLR value was associated with generalized peritonitis with a sensitivity of 63.7 %, specificity of 64.3 %, and AUC of 68.2%. The NLR-patient death association had 100% sensitivity, 80.3% specificity, and 93.5 AUC.

Conclusion: NLR determination in individuals with acute appendicitis may be useful in predicting complications. NLR values greater than 7.86 are usually related with generalized peritonitis, while values larger than 12.9 may predict an increased risk of patient death. Calculating NLR from a complete blood count is a straightforward and cost-effective method of analyzing complicated AA in resource-constrained settings.

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

Background/aim

Coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. As a result of high mortality rate among the severe COVID-19 patients, the early detection of the disease stage and early effective interventions are very important in reducing mortality. Hence, it is important to differentiate severe and nonsevere cases from each other. To date, there are no proven diagnostic or prognostic parameters that can be used in this manner. Due to the expensive and not easily accessible tests that are performed for COVID-19, researchers are investigating some parameters that can be easily used. In some recent studies, hematological parameters have been evaluated to see if they can be used as predictive parameters.

Materials and methods

In the current study, almost all hematological parameters were used, including the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio, mean platelet volume to lymphocyte ratio, mean platelet volume to platelet ratio, plateletcrit, and D-dimer/fibrinogen ratio, neutrophil/lymphocyte/platelet scoring system, and systemic immune-inflammation index. A total of 750 patients, who were admitted to Ankara City Hospital due to COVID-19, were evaluated in this study. The patients were classified into 2 groups according to their diagnosis (confirmed or probable) and into 2 groups according to the stage of the disease (nonsevere or severe).

Results

The values of the combinations of inflammatory markers and other hematological parameters in all of the patients with severe COVID-19 were calculated, and the predicted values of these parameters were compared. According to results of the study, nearly all of the hematological parameters could be used as potential diagnostic biomarkers for subsequent analysis, because the area under the curve (AUC) was higher than 0.50, especially for the DFR and NLR, which had the highest AUC among the parameters.

Conclusion

Our findings indicate that, the parameters those enhanced from complete blood count, which is a simple laboratory test, can help to identify and classify COVID-19 patients into non-severe to severe groups.

Clinical Application of Transabdominal Ultrasound Combined with PICCO in Septic Shock Fluid Resuscitation and Its Predictive Value for Survival Outcome

To investigate the clinical value of transabdominal ultrasound combined with pulse index continuous cardiac output (PICCO) in fluid resuscitation of septic shock patients, and to analyze the predictive value of survival outcomes, 68 patients with septic shock were randomly divided into the ultrasound + PICCO group and PICCO group. Compared with before treatment, blood lactic acid (BLA) was cleared, and central venous pressure (CVP) and oxygenation index were significantly increased in all patients. The oxygen binding index, central venous oxygen saturation (ScVO₂), and CVP in the ultrasound + PICCO group were increased compared with the PICCO group, while BLA, mechanical ventilation time, total fluid resuscitation input and hospitalization were significantly reduced. The extravascular lung water index and shape change index were positively correlated with sequential organ failure assessment. The combination of extravascular lung water index and shape change index had higher clinical value than each alone in predicting the death of patients with septic shock. The combination of transabdominal ultrasound with PICCO is better at guiding fluid resuscitation in patients with septic shock and has a certain predictive value with respect to the survival outcome of septic shock patients.

Which inflammatory marker is more reliable in diagnosing acute septic arthritis in the pediatric population?

BACKGROUND

The present study aimed to investigate diagnostic values of C-reactive protein (CRP), white blood cell (WBC), erythrocyte sedimentation rate (ESR), neutrophil to lymphocyte ratio (NLR), and the platelet to lymphocyte ratio as possible indirect inflammatory markers in children with septic arthritis (SA) for diagnosis process.

METHODS

The medical records of pediatric patients with SA who underwent debridement surgery between February 2005 and November 2018 were obtained from the hospital records. A total of 59 children with SA and 60 age- and gender-matched healthy controls were enrolled in the study. Hemograms parameters including WBC count, neutrophil count, lymphocyte count, hemoglobin, platelet count, CRP, ESR, NLR, and platelet to lymphocyte ratio. Biochemical parameters including alanine transaminase, aspartate aminotransferase, blood urea nitrogen, creatinine, glucose, and albumin were investigated and compared between both groups.

RESULTS

Fifty-nine patients, 30% female (n: 18) and 70% male (n: 41), who had received operations for SA were included in the study. The mean age of the patients was 7.1 (range 6 days to 15 years) years and mean follow up 56.6 (12-140) months. No significant differences were observed in any biochemical parameters between the groups. However, a significant difference was found between the septic arthritis and the control group in all hemogram parameters.

CONCLUSIONS

Although the sensitivity and specificity of the NLR are lower than CRP, ESR, and WBC which are most commonly used inflammatory parameters in diagnosis process of septic arthritis, NLR may be useful in confirming the diagnosis in the clinical practise, with an optimum diagnostic cut-off value of 4.05.

Predictive value of immune cell counts and neutrophil-to-lymphocyte ratio for 28-day mortality in patients with sepsis caused by intra-abdominal infection

Background

The current study aimed to evaluate the value of immune cell counts and neutrophil-to-lymphocyte ratio (NLR) when attempting to predict 28-day mortality.

Methods

We conducted an observational retrospective study that included consecutive septic patients. Severity scores on the first day and peripheral circulating immune cell counts (at day 1, day 3, day 5 and day 7 of admission) were collected during each patient’s emergency intensive care unit stay. We assessed the associations of peripheral circulating immune cell counts and NLR with the severity of illness. The relationships between 28-day mortality and peripheral circulating immune cell counts and NLR with were evaluated using Cox proportional cause-specific hazards models.

Results

A total of 216 patients diagnosed with sepsis caused by IAI were enrolled. The lymphocyte counts (days 1, 3, 5 and 7) and monocyte counts (days 3, 5 and 7) were significantly lower in non-survivors (n = 72) than survivors (n = 144). The NLR values at each time point were significantly higher in non-survivors. The day 1 lymphocyte counts, as well as the monocyte counts, were significantly lower in the highest-scoring group, when stratified by the Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores, than in the other groups (p < 0.05). The day 1 NLR was significantly higher in the highest-scoring group than in the other groups (p < 0.05). The day 5 and day 7 lymphocyte counts, day 3 and day 7 monocyte counts and day 7 NLR were significant predictors of 28-day mortality in the Cox proportional hazards models (day 5 lymphocyte count: hazard ratio, 0.123 (95% CI, 0.055–0.279), p < 0.001; day 7 lymphocyte count: hazard ratio, 0.115 (95% CI, 0.052–0.254), p < 0.001; day 3 monocyte count: hazard ratio, 0.067 (95% CI, 0.005–0.861), p = 0.038; day 7 monocyte count: hazard ratio, 0.015 (95% CI, 0.001–0.158), p < 0.001; day 7 NLR: hazard ratio, 0.773 (95% CI, 0.659–0.905), p = 0.001).

Conclusions

The results showed that circulating lymphocytes and monocytes were dramatically decreased within 7 days in non-survivors following sepsis from an IAI. Lymphocyte counts, monocyte counts and NLR appeared to be associated with the severity of illness, and they may serve as independent predictors of 28-day mortality in septic patients with IAIs.

Neutrophil-to-lymphocyte ratio as a predictive marker for severe pediatric sepsis

BACKGROUND

Although neutrophil-to-lymphocyte ratio (NLR) has been extensively studied in several diseases, its role in pediatric sepsis remains unclear. Our study aimed to assess the predictive significance of NLR for severe pediatric sepsis in the pediatric intensive care unit (PICU).

METHODS

We retrospectively recruited critically ill children in the PICU with severe pediatric sepsis from January 2019 to January 2020 in West China Hospital of Sichuan University. Univariate and multivariable logistic regression analysis was used to assess the risk factors of severe pediatric sepsis. Receiver operating characteristic (ROC) curves were plotted for the comparison of the prediction significance of NLR.

RESULTS

Overall, 202 patients (severe sepsis 45; non-severe sepsis 157) were included. In the severe sepsis group, the levels of NLR (P<0.001), procalcitonin (PCT; P<0.001), and the Pediatric Risk of Mortality score (PRISM III) were higher than those in the nonsevere sepsis group (P<0.001). The PICU stay time (P<0.001), mechanical ventilation length (P=0.004), and hospital stay time (P<0.001) in the severe sepsis patients were noticeably more extended than those in the control patients. The area under the ROC curve (AUC) of NLR was 0.715 (P<0.001), which was higher than that of the PRISM III score (AUC =0.651, P<0.001) and PCT (AUC =0.647, P<0.001). Furthermore, the constructed predictive model of NLR + PCT + PRISM III showed a better prediction significance than they alone (AUC =0.888, P<0.001).

CONCLUSIONS

Results indicated that the initial NLR value was a significant biomarker for predicting severe pediatric sepsis. The combined NLR and PCT improved the evaluation for further early identification of severe sepsis in children.

Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis

Background

The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients.

Methods

A literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI).

Results

A total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72–1.04; I² = 75.52% and 1.87; 95%CI 1.25–2.49; I² = 97.81%, respectively). Regardless of the different NLR cut-off values, the pooled mortality RR in patients with elevated vs. normal NLR levels was 2.74 (95%CI 0.98–7.66).

Conclusion

High NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use.

Association between neutrophil-to-lymphocyte ratio in the first seven days of sepsis and mortality

INTRODUCTION

The neutrophil-to-lymphocyte ratio (NLR) in the diagnosis of sepsis has been found to be higher in non-survivors than in survivors, and that is associated with mortality. A higher NLR in non-survivors than in survivors has been reported in two studies during patient follow-up; however, NLR was not controlled for sepsis severity. Thus, the objective of this study was to determine whether there is an association between NLR in the first seven days and mortality controlling for sepsis severity.

METHODS

This observational study, which included septic patients, was conducted in the Intensive Care Units of 3 Spanish hospitals. NLR was recorded on the first, fourth, and eighth day of sepsis. Multiple logistic regression analyses were carried out to determine the association between NLR during the first 7 days of sepsis diagnosis and mortality controlling for sepsis severity.

RESULTS

Thirty-day non-surviving patients (n=68) compared to surviving patients (n=135) showed higher NLR on the first (p<0.001), fourth (p<0.001), and eighth (p<0.001) day of sepsis diagnosis. Multiple logistic regression analysis found an association between NLR at days first (p<0.001), fourth (p=0.004), and eighth (p=0.01) of sepsis diagnosis and mortality controlling for SOFA and lactic acid in those days.

CONCLUSIONS

The new finding of our study was the association between NLR in the first seven days of sepsis and mortality controlling for sepsis severity.

Prognostic value of neutrophil/lymphocyte ratio and mean platelet volume/platelet ratio for 1-year mortality in critically ill patients

Several studies have reported that the neutrophil to lymphocyte ratio (NLR) and mean platelet volume (MPV) are associated with poor prognosis. This study investigated whether NLR and/or the MPV/platelet ratio could function as predictive markers of mortality in critically ill patients. We retrospectively reviewed 1,154 patients admitted to the intensive care unit (ICU) between January 2017 and December 2017. Patients were divided into 2 groups according to 1-year mortality. We compared the NLR and MPV/platelet ratio on each day of ICU admission. Patients were classified into tertiles based on their NLR and MPV/platelet ratios, and the incidence of 1-year mortality was compared. Kaplan-Meier survival curves were plotted to evaluate their potential as prognostic factors for 1-year mortality. The NLR and MPV/platelet ratio were higher in the non-survivor group than in the survivor group. The incidence of 1-year mortality was the highest in the third tertile for both the NLR and MPV/platelet ratio. The MPV/platelet ratio was an independent predictor for 1-year mortality based on the Kaplan-Meier survival analysis. Our data showed that the MPV/platelet ratio is a predictive factor for 1-year mortality in critically ill patients.

Neutrophils to Lymphocyte Ratio: Earliest and Efficacious Markers of Sepsis

Background

Neutrophil to lymphocyte ratio (NLR) can be easily calculated from the white cell differential count and is considered an auspicious marker for predicting different diseases, including sepsis. In this study, we aimed to compare the efficacy of NLR as a sepsis marker by comparing it with other markers of sepsis, such as C-reactive protein (CRP), procalcitonin, and the Sequential Organ Failure Assessment (SOFA) score.

Methods

A cross-sectional analytical study was conducted at the Aga Khan University Hospital from July 2019 to December 2019. A total of 168 patients who were admitted to the medicine department with a diagnosis of sepsis on arrival or during the hospital stay were enrolled. The neutrophil to lymphocyte ratio was calculated to form venous samples taken on admission and compared to the level of CRP, procalcitonin, culture reports, and the SOFA score as a predictor of sepsis.

Results

Out of 168 patients, 55.3% were male. The median age of the participants was 68.40 (interquartile range (IQR): 19.5) years in males and 64.0 (IQR: 18.0) in females. Procalcitonin was performed in 121 (72%) and CRP performed in 61 (36.3%) patients. The NLR showed significant associations with all the tested lab parameters of sepsis, such as CRP (p = 0.02), procalcitonin (p = 0.01), and SOFA score (p = 0.01). Values when analyzed according to culture-positive showed higher values in culture-positive samples but were not statistically significant.

Conclusion

Neutrophil to lymphocyte ratio is a cheap and rapidly available predictor of sepsis and has shown a significant correlation with other relatively expensive and non-rapidly existing markers of inflammation and sepsis. However, large prospective studies are needed to prove its real effectiveness as a marker of sepsis and its prognosis

Neutrophil-to-Lymphocyte Ratios Are Closely Associated With the Severity and Course of Non-mild COVID-19

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is spreading worldwide. Measuring the prevention and control of the disease has become a matter requiring urgent focus.

Objective

Based on coronavirus disease 2019 (COVID-19) clinical data from Wuhan, we conducted an in-depth analysis to clarify some of the pathological mechanisms of the disease and identify simple measures to predict its severity early on.

Methods

A total of 230 patients with non-mild COVID-19 were recruited, and information on their clinical characteristics, inflammatory cytokines, and T lymphocyte subsets was collected. Risk factors for severity were analyzed by binary logistic regression, and the associations of neutrophil-to-lymphocyte ratios (N/LRs) with illness severity, disease course, CT grading, inflammatory cytokines, and T lymphocyte subsets were evaluated.

Results

Our results showed that the N/LRs were closely related to interleukin (IL)-6 and IL-10 (P < 0.001, P = 0.024) and to CD3+ and CD8+ T lymphocytes (P < 0.001, P = 0.046). In particular, the N/LRs were positively correlated with the severity and course of the disease (P = 0.021, P < 0.001). Compared to the values at the first test after admission, IL-6 and IL-10 were significantly decreased and increased, respectively, as of the last test before discharge (P = 0.006, P < 0.001). More importantly, through binary logistic regression, we found that male sex, underlying diseases (such as cardiovascular disease), pulse, and N/LRs were all closely related to the severity of the disease (P = 0.004, P = 0.012, P = 0.013, P = 0.028).

Conclusions

As a quick and convenient marker of inflammation, N/LRs may predict the disease course and severity level of non-mild COVID-19; male sex, cardiovascular disease, and pulse are also risk factors for the severity of non-mild COVID-19.