Platelet-Lymphocyte and Neutrophil-Lymphocyte Ratio for Prediction of Hospital Outcomes in Patients with Abdominal Trauma

Role of platelet-to-lymphocyte ratio at the time of arrival to the emergency room as a predictor of short-term mortality in trauma patients with severe trauma team activation

BACKGROUND

Platelet-to-Lymphocyte ratio (PLR) has been studied as a prognostic factor for various diseases and traumas. This study examined the utility of PLR as a tool for predicting 30-day mortality in patients experiencing severe trauma.

METHODS

This study included 139 patients who experienced trauma and fulfilled ≥1 criteria for activation of the hospital's severe trauma team. Patients were divided into non-survivor and survivor groups. Mean PLR values were compared between the groups, the optimal PLR cut-off value was determined, and mortality and survival analyses were performed. Statistical analyses were performed using SPSS ver. 26.0. The threshold of statistical significance was P<0.05.

RESULTS

There was a significant difference in mean (±standard deviation) PLR between the non-survivor (n=36) and survivor (n=103) groups (53.4±30.1 vs. 89.9±53.3, respectively; P<0.001). Receiver operating characteristic (ROC) curve analysis revealed an optimal PLR cut-off of 65.35 (sensitivity, 0.621; specificity, 0.694, respectively; area under the ROC curve, 0.742), and Kaplan-Meier survival analysis revealed a significant difference in mortality rate between the two groups.

CONCLUSIONS

PLR can be calculated quickly and easily from a routine complete blood count, which is often performed in the emergency department for individuals who experience trauma. The PLR is useful for predicting 30-day mortality in trauma patients with severe trauma team activation.

Is the prognosis of traumatic critically ill pediatric patients predictable? : A multicenter retrospective analysis

BACKGROUND

In this retrospective study the effects of the neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), mean platelet volume to platelet count ratio (MPV/PC) values as well as C‑reactive protein (CRP) and procalcitonin (PCT) levels on the severity and mortality in critically ill child trauma cases were evaluated.

METHODS

A total of 80 trauma cases aged 31 days to 16 years that were followed-up in the pediatric intensive care unit (PICU) were included in the study. The data of the patients on the first day of hospitalization (T1), the median day of intensive care admission (T2), and before discharge or exitus (T3) were analyzed. The cases were divided into three groups according to the injury severity score (ISS) as minor, moderate, and severe.

RESULTS

Of the 80 cases 59 (73.75%) were male and 21 (26.25%) were female. The mean age of all the cases was 54.5 ± 47.8 months, and the mean PICU stay was 7.35 ± 6.64 days. Of the cases 19 (23.75%) due to motor vehicle accidents and 61 (76.25%) due to falling from heights were followed-up. The mortality rate was found to be 13.75% (11 cases). The T1, T2 and T3 NLR, MLR, MPV/PC and PCT values did not differ between the groups. The T1 and T2 CRP levels were higher in the moderate trauma group than in the severe trauma group. Also, ISS and pediatric risk of mortality 3 (PRISM-3) scores were higher while the revised injury severity classification version II (RISC II), RISC II survival and Glasgow coma scale (GCS) scores were lower in the nonsurvivors. While the T3 MLR value was lower in nonsurvival cases, the T3 MPV/PC value was found to be higher.

CONCLUSION

The NLR, MLR, and MPV/PC values do not predict the severity of the trauma in children. In children with severe trauma, low MLR and high MPV/PC values can be used to predict mortality.

The prognostic values of neutrophil to lymphocyte ratio in traumatically injured patients upon admission: A mini-Review

Subsequent to trauma and systemic inflammatory response syndrome, the typical reaction is an enhancement of the total white blood cell count. Neutrophils are abundant circulating leukocytes in humans that play a crucial role in initial immune response against invading microbes through phagocytosis and exerting inflammatory mediators. However, lymphocytes are the main cellular compartments of the immune system that are negatively affected in the setting of trauma. The neutrophil to lymphocyte ratio (NLR), which can be easily measured in daily clinical practices, is an alternative marker of inflammation before any clinical findings can be observed. Therefore, in this mini-review study, we briefly discussed recent evidence on NLR variations at the time of hospitalization and its prognostic values in trauma patients. Most investigations declared high values of NLR potentially have a poor prognosis in traumatically ill patients on admission and contribute to coagulopathy, increased hospitalization and mortality. Moreover, given that various cut-off points have been considered for the NLR value, receiving a unique one and linking with subsequent outcomes of the disease should be in ongoing researches.

Increased neutrophil-to-lymphocyte ratio is associated with unfavorable functional outcomes in acute pontine infarction

BACKGROUND

The neutrophil-to-lymphocyte ratio (NLR) is positively associated with unfavorable outcomes in patients with cerebral infarction. This study aimed to investigate the relationship between the NLR and the short-term clinical outcome of acute pontine infarction.

METHODS

Patients with acute pontine infarction were consecutively included. Clinical and laboratory data were collected. All patients were followed up at 3 months using modified Rankin Scale (mRS) scores. An unfavorable outcome was defined as an mRS score ≥ 3. Receiver operating characteristic (ROC) curve analysis was used to calculate the optimal cutoff values for patients with acute pontine infarction. risk factors can be predictive factors for an unfavorable outcome after acute pontine infarction.

RESULTS

Two hundred fifty-six patients with acute pontine infarction were included in this study. The NLR was significantly higher in the unfavorable outcome group than in the favorable outcome group (P < 0.05). Additionally, the infarct size was significantly higher in the high NLR tertile group than in the low NLR tertile group (P < 0.05). Multivariate logistic regression analysis revealed that the baseline National Institutes of Health Stroke Scale (NIHSS) score, NLR, platelet count, and fasting blood glucose (FBG) level were significantly associated with unfavorable outcomes 3 months after acute pontine infarction. The optimal cutoff value of the NLR for predicting the 3-month outcome of acute pontine infarction was 3.055. The negative and positive predictive values of NLR were 85.7% and 61.3%, respectively, and the sensitivity and specificity of NLR were 69.2% and 80.9%.

CONCLUSIONS

We found that the NLR may be an independent predictive factor for the outcome of acute pontine infarction.

Association of White Blood Cell Subtypes and Derived Ratios with a Mortality Outcome in Adult Patients with Polytrauma

Background. After trauma, the subtypes of white blood cells (WBCs) in circulation and the derived neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) may undergo relative changes and reflect the patients’ immune-inflammatory status and outcome. This retrospective study was designed to investigate the relationship between these variables and the mortality outcomes in adult patients with polytrauma, which is defined as an abbreviated injury scale (AIS) score ≥ 3 in two or more different body regions. Methods. A comparison of the expression of subtypes of WBCs, NLR, MLR, and PLR upon arrival to the emergency department was performed in selected propensity score-matched patient cohorts created from 479 adult patients with polytrauma between 1 January 2015 and 31 December 2019. A multivariate logistic regression analysis was used to identify the independent risk factors for mortality. Results. There were no significant differences in monocyte, neutrophil, and platelet counts, as well as in MLR, NLR, and PLR, between deceased (n = 118) and surviving (n = 361) patients. In the propensity score-matched patient cohorts, which showed no significant differences in sex, age, comorbidities, and injury severity, deceased patients had significantly higher lymphocyte counts than survivors (2214 ± 1372 vs. 1807 ± 1162 [106/L], respectively, p = 0.036). In addition, the multivariate logistic regression analysis revealed that the lymphocyte count (OR, 1.0; 95% confidence interval [CI], 1.00–1.06; p = 0.043) was a significant independent risk factor for mortality in these patients. Conclusions. This study revealed that there was no significant difference in the counts of monocytes, neutrophils, and platelets, as well as in MLR, NLR, and PLR, between deceased and surviving patients with polytrauma. However, a significantly higher lymphocyte count may be associated with a worse mortality.

Identification of Immune-Related Genes Concurrently Involved in Critical Illnesses Across Different Etiologies: A Data-Driven Analysis

Severe trauma and sepsis can lead to multiple organ dysfunction syndrome, which is a leading cause of death in intensive care units with mortality rates in excess of 50%. In addition to infection, the degree of immuno-inflammatory response also influences the outcome. The genomic changes observed after a variety of pathophysiological insults, such as trauma, sepsis, burns are similar, and consist of innate immune activation and adaptive immunity suppression. However, the characteristics of the shared mechanisms of aforementioned critical illnesses and the clinical relevance remain less explored. In the present study, we performed a data analysis to identify functional genes concurrently involved in critical illnesses across differing etiologies (trauma and sepsis derived from community-acquired pneumonia/abdominal source) and explored the shared signaling pathways these common genes involved in to gain insight into the underlying molecular mechanisms. A number of immune-related biological functions were found to be dysregulated in both trauma and sepsis in the present study, so we continued to identify immune-related common genes, profiled the immune cell proportion, and explored the relationships between them. The diagnostic and prognostic value of the immune-related common genes was also evaluated to address their potential clinical utilization as novel biomarkers. Notably, we identified a list of 14 immune-related genes concurrently dysregulated in trauma and sepsis showing favorable diagnostic value, among which S100P can predict prognosis of sepsis patients. Moreover, a spectrum of immune cell subsets including naïve B cells, CD8+ T cells, CD4+ memory resting T cells, activated NK cells, resting dendritic cells, plasma cells, Tregs, macrophages M0 and macrophages M1 was found to be concurrently dysregulated in both trauma and sepsis, and a close relation between above identified immune-related genes and immune cell subsets was observed. Our data-driven findings lay a foundation for future research to elucidate the pathophysiology regarding the aspect of inflammatory and immune response in critical illnesses, and suggest future studies focus on interpreting the function roles of the identified immune-related genes, as well as the reactive immune cell subsets.