Red cell distribution width and neutrophil to lymphocyte ratio as predictors of outcomes in acute pancreatitis: A retrospective cohort study

Early prediction of post-endoscopic retrograde cholangiopancreatography pancreatitis via dynamic changes of leukocyte: A retrospective study

BACKGROUND

Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) remains a major concern for clinicians. Hence early identification of PEP is meaningful to minimize medical risks.

AIMS

This study aims to explore the value of dynamic leukocyte changes for early prediction of PEP.

METHODS

Patients from January 2017 to December 2018 (training set) and January 2019 to December 2022 (test set) were retrospectively reviewed. The dynamic changes of leukocyte, neutrophil, and lymphocyte were examined to evaluate the diagnostic value of PEP.

RESULTS

A total of 498 patients (36 PEP cases) in training set and 948 patients (71 PEP cases) in test set were analyzed. Four predictors were finally identified in training set containing margin and ratio of 3h-post ERCP leukocyte count (Po Leu) to pre-ERCP leukocyte count (Pr Leu), 3h post-ERCP neutrophil-to-lymphocyte ratio (NLR) and pre-ERCP fibrinogen levels. ROC analysis revealed the optimal thresholds were 2.3 (x109/L), 1.6, 4.8 and 3.1 (g/L), respectively. The sensitivity and specificity of Po Leu - Pr Leu and Po Leu/Pr Leu were 71.0%, 82.7%, 66.1% and 86.3% to diagnosis PEP in patients with hyperamylasemia.

CONCLUSIONS

For early identification of PEP, the elevation of amylase and lipase still exhibits the highest sensitivity, while the dynamic changes of leukocyte would be helpful for the different diagnosis of hyperamylasemia.

Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions

Objective

This study aimed to identify the risk factors and construct a reliable prediction model of 28-day all-cause mortality in critically ill patients with acute pancreatitis (AP) using machine learning techniques.

Methods

A total of 534 patients from three different institutions were included. Thirty-eight possible variables were collected from the Intensive care unit (ICU) admission for investigation. Patients were split into a training cohort (n = 400) and test cohort (n = 134) according to their source of hospital. The synthetic minority oversampling technique (SMOTE) was introduced to handle the inherent class imbalance. Six machine learning algorithms were applied in this study. The optimal machine learning model was chosen after patients in the test cohort were selected to validate the models. SHapley Additive exPlanation (SHAP) analysis was performed to rank the importance of variable. The predictive performance of the models was evaluated by the calibration curve, area under the receiver operating characteristics curves (AUROC), and decision clinical analysis.

Results

About 13.5% (72/534) of all patients eventually died of all-cause within 28 days of ICU admission. Eight important variables were screened out, including white blood cell count, platelets, body temperature, age, blood urea nitrogen, red blood cell distribution width, SpO2, and hemoglobin. The support vector machine (SVM) algorithm performed best in predicting 28-d all-cause death. Its AUROC reached 0.877 (95% CI: 0.809 to 0.927, p < 0.001), the Youden index was 0.634 (95% CI: 0.459 to 0.717). Based on the risk stratification system, the difference between the high-risk and low-risk groups was significantly different.

Conclusion

In conclusion, this study developed and validated SVM model, which better predicted 28-d all-cause mortality in critically ill patients with AP. In the future, we will continue to include patients from more institutions to conduct validation in different contexts and countries.

Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm

BACKGROUND AND AIM

Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of patients at a high mortality risk and timely intervention are essential. This study aimed to establish an explainable machine-learning model for predicting in-hospital mortality of intensive care unit (ICU) patients with AP.

METHODS

Data on patients with AP, including demographics, vital signs, laboratory tests, comorbidities, treatment, complication, and severity scores, were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU collaborative research database (eICU-CRD). Based on the data from MIMIC-IV, we used the least absolute shrinkage and selection operator algorithm to select variables and then established 9 machine-learning models and screened the optimal model. Data from the eICU-CRD were used for external validation. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, decision curve, and calibration plots were used to assess the models' efficacy. Shapley's additive explanation values were used to explain the model.

RESULTS

Gaussian naive Bayes (GNB) model had the best performance on the data from MIMIC-IV, with an AUC, accuracy, sensitivity, and specificity of 0.840, 0.787, 0.839, and 0.792, respectively. The GNB model also performed well on the data from the eICU-CRD, with an AUC, accuracy, sensitivity, and specificity of 0.862, 0.833, 0.848, and 0.763, respectively. According to Shapley's additive explanation values, the top 4 predictive factors were maximum red cell distribution width, minimum saturation of blood oxygen, maximum blood urea nitrogen, and the Sequential Organ Failure Assessment score.

CONCLUSION

The GNB model demonstrated excellent performance and generalizability in predicting mortality in ICU patients with AP. Therefore, it can identify patients at a high mortality risk.

C-reactive protein/lymphocyte ratio as a prognostic biomarker in acute pancreatitis: a cross-sectional study assessing disease severity

BACKGROUND

The C-reactive protein/lymphocyte ratio (CLR) is a prognostic biomarker of various diseases. However, its significance in acute pancreatitis (AP) remains unknown. The main aim of this study was to investigate the association between the CLR and disease severity in patients with AP.

METHODS

This cross-sectional study included 476 AP patients [mild acute pancreatitis (MAP), n =176; moderately severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP), n =300]. The primary exposure of interest was the baseline CLR. The primary outcome was the incidence of moderate to severe AP. Multivariate logistic regression and restricted cubic spline analyses were performed to evaluate the association between the CLR and the incidence of moderate to severe AP. Receiver operating characteristic (ROC) analysis was conducted to assess the predictive efficacy, sensitivity, and specificity of CLR in predicting the incidence of moderate to severe AP.

RESULTS

The mean age of the patients was 44±13.2 years, and 76.5% were male. The distribution of CLR was 31.6 (interquartile range, 4.5, 101.7). Moderate to severe AP occurred in 300 cases (63.0%). After multiple adjustments, CLR was independently associated with the incidence of moderate to severe AP (odds ratio, 1.04; 95% CI: 1.03-1.05; P < 0.001). A nonlinear relationship was found between CLR and the incidence of moderate to severe AP, with a threshold of approximately 45. The effect size and CI below and above the threshold value were 1.061 (1.033-1.089) and 1.014 (0.997-1.031), respectively. The area under the curve (AUC) for CLR was 87.577% (95% CI: 84.443- 90.710%) with an optimal cut-off value of 30.835, resulting in a sensitivity of 73.7% and a specificity of 88.6%.

CONCLUSIONS

There was a nonlinear relationship with a saturation effect between the CLR and the incidence of moderate to severe AP. The CLR measured within 24 h of admission may serve as a promising biomarker for predicting the emergence of moderate to severe AP, thereby providing a more scientifically grounded basis for preventing such cases. Nonetheless, further research is warranted to validate and strengthen these findings.

A comparison of scoring systems and biomarkers to predict the severity of acute pancreatitis in patients referring to the emergency clinic

To investigate scoring systems and biomarkers for determining the severity and prognosis of acute pancreatitis (AP). Between January and July 2023, 100 patients with AP diagnosed and treated in the emergency department were included. AP was divided into 2 groups according to severity: mild AP and moderately severe AP (MSAP-SAP), according to the revised Atlanta Classification in 2012. Demographic characteristics, severity, intensive care unit (ICU) admission, white blood cell count (WBC), hematocrit, red cell distribution width from whole blood taken at admission and 48 hours later, C-reactive protein (CRP) and biochemistry values, Bedside Index for Severity in Acute Pancreatitis (BISAP), Pancreatitis Activity Scoring System (PASS), and harmless AP score scores were recorded retrospectively. Our variables, which were found to be significant in multiple logistic regression results, were found to increase MSAP-SAP expectation by 4.36-, 7.85-, 6.63 and 5.80 times in the presence of CRP > 47.10, WBC > 13.10, PASS > 0, and necrotizing computed tomography findings, respectively. It was detected that the risk factor which was found significant as a single variable affecting the ICU admission increased the risk of ICU requirement by 28.88 when PASS > 0, by 3.96 when BISAP > 1, and it increased the Atlanta score by 9.93-fold. We found that WBC and CRP values at the time of hospital admission and WBC, CRP, and red cell distribution width values after 48 had the highest accuracy in determining AP disease severity. BISAP, which was found to be significant in determining MSAP-SAP expectations, lost its significance in multiple logistic regression results, and PASS was found to be effective. The PASS is an important score in the clinical evaluation of patients with AP and in determining the need for ICU hospitalization.

Evaluation of red blood cell distribution width, neutrophil-to-lymphocyte ratio, and other hematologic parameters in canine acute pancreatitis

OBJECTIVE

To determine if RBC distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), and other hematological parameters are associated with increased odds of in-hospital mortality, increased length of hospitalization (LOH), or disease severity as measured by the Canine Acute Pancreatitis Severity (CAPS) score in dogs with acute pancreatitis (AP).

DESIGN

Retrospective, multicenter study from January 2016 to August 2020.

SETTING

Four private emergency and specialty referral centers.

ANIMALS

On initial case search, 118 client-owned dogs were identified with a clinical diagnosis of AP. Out of these cases, 114 dogs met inclusion criteria, defined as sudden onset of ≥2 compatible clinic signs (lethargy, anorexia, vomiting, or abdominal pain), a specific canine pancreatic lipase concentration >400 μg/L, hospital admission, as well as CBC and serum biochemistry run within 48 hours of initial hospitalization. Disease severity was calculated and measured using the CAPS score, in addition to LOH and in-hospital mortality.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Clinical endpoints were in-hospital mortality, LOH, and disease severity, as evaluated by the CAPS score. Overall in-hospital mortality was 36.8%. NLR was significantly associated with survival, with a higher percentage being associated with an increased likelihood of nonsurvival (odds ratio: 1.1, 95% confidence interval: 1.0-1.2; P = 0.006, adjusted P = 0.04). Increased NLR was found to be significantly associated with a longer LOH based on the unadjusted P-value (P = 0.02) but was not statistically significant based on a P-value adjusted for multiple comparisons (P = 0.12). No significant associations were noted when RDW, platelet-to-lymphocyte ratio, WBC count, mean platelet volume, RDW-to-platelet ratio, or RDW-to-total serum calcium ratio was evaluated against outcome measures.

CONCLUSIONS

This study retrospectively evaluated the prognostic utility of several readily available hematological parameters in dogs hospitalized for AP. Dogs with an increased NLR may have a higher risk of in-hospital mortality and increased LOH, although future prospective studies are necessary to confirm these findings.

A novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancy

BACKGROUND

Acute pancreatitis in pregnancy (APIP) with a high risk of death is extremely harmful to mother and fetus. There are few models specifically designed to assess the severity of APIP. Our study aimed to establish a clinical model for early prediction of severity of APIP.

METHODS

A retrospective study in a total of 188 patients with APIP was enrolled. The hematological indicators, IAP (intra-abdominal pressure) and clinical data were obtained for statistical analysis and prediction model construction.

RESULTS

According to univariate and multivariate logistic regression analysis, we found that red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR) and Intra-abdominal pressure (IAP) are prediction indexes of the severity in APIP (p-value < 0.05). Our novel clinical prediction model was created by based on the above three risk factors and showed superior predictive power in primary cohort (AUC = 0.895) and validation cohort (AUC = 0.863). A nomogram for severe acute pancreatitis in pregnancy (SAPIP) was created based on the three indicators. The nomogram was well-calibrated.

CONCLUSION

RDW, NLR and IAP were the independent risk factors of APIP. Our clinical prediction model of severity in APIP based on RDW, NLR and IAP with predictive evaluation is accurate and effective.

Red Blood Cell Distribution Width as a Novel Parameter in Canine Disorders: Literature Review and Future Prospective

Red blood cell distribution width (RDW) is a quantitative laboratory parameter applied for the measurement of anisocytosis and is a reliable and inexpensive method for clinical classification of anemia. An increased RDW reflects a great heterogeneity in the size of red blood cells typical of regenerative and iron-deficiency anemia. In humans, numerous and recent studies have shown a relationship between increased RDW and the risk of morbidity and mortality in patients with various disorders. In particular, a strong association has been established between changes in RDW and the risk of adverse outcome in humans with diseases affecting different organs or systems. Following the human literature, some studies have recently been conducted trying to clarify the clinical role of RDW in various animal disorders, particularly in dogs. In this review, we summarize and critically evaluate the results of the studies based on the measurement of RDW in dogs. We also emphasize the need for further and more extensive studies on the use of this simple and inexpensive parameter in animals.

Is red cell distribution width a prognostic factor in patients with breast cancer? A meta-analysis

Purpose

The current study aimed to investigate whether red blood cell distribution width (RDW) can predict the prognosis of patients with breast cancer (BC).

Methods

We searched four databases, including PubMed, Embase, Cochrane Library databases, and CNKI, from inception to Jun 13, 2022. The primary outcome was overall survival (OS), and the secondary outcome was disease-free survival (DFS). A subgroup analysis was conducted based on different treatments. This meta-analysis was performed with RevMan 5.3 (The Cochrane Collaboration, London, United Kingdom).

Results

A total of seven studies including 4,884 BC patients were identified. The high RDW group had a larger tumor size (OR = 2.12, 95% CI = 1.67 to 2.68, P < 0.01), higher proportions of advanced stage tumors (OR = 1.77, 95% CI = 1.38 to 2.27, P < 0.01), more lymph node metastases (OR = 2.00, 95% CI = 1.58 to 2.51, P < 0.01) and lower HER-2 expression (OR = 0.76, 95% CI = 0.61 to 0.95, P = 0.02). For prognosis, after pooling all the data, we found that the high RDW group was associated with worse OS (HR = 2.12, 95% CI = 1.47 to 3.08, P < 0.01) and DFS (HR = 1.77, 95% CI = 1.32 to 2.37, P < 0.01). The subgroup analysis found that RDW had prognostic significance but only for surgery-only patients (HR = 2.41, 95% CI = 1.67 to 3.49, P < 0.01).

Conclusion

High RDW was associated with worse OS and DFS. Therefore, RDW was a simple predictive factor for the prognosis of BC patients.

Prognostic Role of Red Cell Distribution Width and Other Routine Clinico-Pathological Parameters in Dogs with Acute Pancreatitis

This study aimed to assess the prognostic value of red cell distribution width (RDW) RDW-to-calcium ratio (RDW/Ca), neutrophils-to-lymphocytes ratio (N/L), platelets-to-lymphocytes ratio (P/L) and other easy to obtain and inexpensive hematological and biochemical parameters in dogs with acute pancreatitis. This is a multicenter, retrospective cohort study including 70 client-owned dogs. The accuracy of clinical and laboratory variables to predict short-term death (i.e., dead by 14 days) was tested by calculating the area under the receiver-operating characteristic curve (AUC). Independent predictors of death were identified using the multivariable Cox proportional hazards regression model. The survival rate was 72.9% (51 dogs) and 19 dogs died within 14 days of admission from AP. RDW and blood urea nitrogen (BUN) had good accuracy to predict short-term dead with AUC of 0.74 and 0.70 at the cut-off of >12.7% and >42 mg/dL, respectively. According to the multivariable model, RDW (hazard ratio and 95% confidence interval [HR, 95% CI] = 5.08, 95% CI = 1.14−22.67; p = 0.03), BUN (HR = 1.00, 95% CI = 1.00−1.01; p < 0.01) and bilirubin (HR = 2.46, 95% CI = 1.38−4.39; p < 0.01) were independent predictors of death. The results indicate that RDW, BUN and bilirubin are useful predictors of short-term death in dogs with acute pancreatitis.

Correlation between the Neutrophil-to-Lymphocyte Ratio and Multiple Sclerosis: Recent Understanding and Potential Application Perspectives

Multiple sclerosis (MS) is a chronic debilitating immune-mediated disease of the central nervous system, which causes demyelination and neuroaxonal damage. Low-grade systemic inflammation has been considered to lead to pathogenesis owing to the amplification of pathogenic immune response activation. However, there is a shortage of reliable systemic inflammatory biomarkers to predict the disease activity and progression of MS. In MS patients, a series of cytokines and chemokines promote the proliferation of neutrophils and lymphocytes and their transfer to the central nervous system. The neutrophil-to-lymphocyte ratio (NLR), which combines the information of the inherent and adaptive parts of the immune system, represents a reliable measure of the inflammatory burden. In this review, we aimed to discuss the inflammatory response in MS, mainly the function of lymphocytes and neutrophils, which can be implemented in the utility of NLR as a diagnostic tool in MS patients. The underlying pathophysiology is highlighted to identify new potential targets for neuroprotection and to develop novel therapeutic strategies.

The relationship between neutrophil-lymphocyte ratio and clinal laboratory data in acute pancreatitis

Introduction: Neutrophil-lymphocyte ratio (NLR) is one of the laboratory biomarkers used in clinical practice to predict severity and mortality of acute pancreatitis (AP), however, there is currently insufficient information about the changes of NLR in the dynamics in relationship with other clinical and laboratory data. Aims: To assess the relationship between NLR values and other demographics, clinical and simple laboratory data in patients with acute pancreatitis. Methods: The data of two hundred twenty-nine patients with AP were analyzed. All patients were divided into two groups: the group with a positive outcome and the group with a fatal outcome. NLR was counted on the 1st, 3rd and 5th day after admission in each group. The dynamics of NLR index by groups and days, as well as its correlation with other 18 simple laboratory parameters were evaluated. Results: The level of NLR rate itself was significantly higher on the 1st, 3rd and 5th day in the group with the fatal result compared with the group with the positive result (p < 0.05). In patients with AP with the positive result of treatment, there was a gradual decrease in the rate between the 1st and the 3rd day (-21.8%) (p < 0.05). The overall dynamics of the indicator between the 1st and the 5th day was -21.5%. In contrast to the group of patients with the fatal outcome, despite the infusion therapy, there was an increase in NLR rate between the 1st and 3rd day of +15.7%. The overall dynamics between the 1st and 5th day was -34.0%. A significant negative relationship of the Spearman's rank correlation coefficient between NLR on the 1st and 3rd day with the fatal outcome was revealed. The highest reliability of this indicator was found on the 3rd day after admission (p < 0.0001). In the group of patients with a positive result, a correlation between NLR on the 1st day and stabs on the 1st day, segmental forms on the 1st day, serum amylase on the 1st day was found. A very high correlation was found with the level of lymphocytes on the 1st day (rs = -0.98, p < 0001). In the group of patients with the fatal outcome, a statistically significant correlation (p < 0.05) of moderate strength was found between the value of NLR and the following indicators: glucose level on the 1st day, total protein on the 5th day, prothrombin index on the 5th day. A high correlation was found with the level of segmental forms on the 1st day (rs = 0.7) and a very high correlation with the level of lymphocytes on the 1st day (rs = -0.99). Conclusions: There was a significant increase in NLR on the 1st, 3rd, and 5th day in the group of patients with AP with the fatal outcome compared with the group of patients with AP with the positive result. Elevated NLR levels on the 1st and 3rd day seem to be associated with hospital mortality in patients with AP. No correlation was found between NLR rate and clinical data in the group with fatal outcome. The main indicators among simple laboratory parameters for determining the predictors of lethal outcome in AP in different periods after hospitalization were: the level of blood glucose, lymphocytes, total protein, serum amylase, prothrombin index.

The BISAP score, NLR, CRP, or BUN: Which marker best predicts the outcome of acute pancreatitis?

Acute pancreatitis is a common disease, and the mortality rate can be high. Thus, a risk assessment should be performed early to optimize treatment. We compared simple prognostic markers with the bedside index for severity in acute pancreatitis (BISAP) scoring system to identify the best predictors of severity and mortality.This retrospective study stratified disease severity based on the revised Atlanta criteria. The accuracies of the markers for predicting severe AP (SAP) were assessed using receiver operating characteristic curves. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each marker. Multivariate logistic regression analyses were used to identify independent predictors of SAP and mortality.The area under the curve (AUC) for the BISAP score was classified as fair for predicting SAP. The neutrophil-to-lymphocyte ratio at 48 hours (NLR48 h) and the C-reactive protein level at 48 hours (CRP48 h) had the best AUCs and were independently associated with SAP. When both criteria were met, the AUC was 0.89, sensitivity was 68%, and specificity was 92%. CRP48 h and hematocrit at 48 hours were independently associated with mortality.NLR48 h and CRP48 h were independently associated with SAP but not superior to the BISAP score at admission. Assessing NLR48 h and CRP48H together was most suitable for predicting SAP. The CRP level was a good predictive marker for mortality.

Hematological Indices Predicting the Severity of Acute Pancreatitis Presenting to the Emergency Department: A Retrospective Analysis

Introduction Acute pancreatitis is defined as inflammation of the pancreas. The body responds to inflammation by producing excessive neutrophils and causing programmed cell death of lymphocytes. This leads to immunological instability, which increases the severity of the disease and mortality rate. Recent data suggest that markers of systemic inflammation are able to predict the prognosis of various diseases. Our study aims to assess the severity of acute pancreatitis in conjunction with these hematological markers of systemic inflammation. Materials and methods Our study was carried out in the emergency medicine department of a tertiary care hospital among patients diagnosed with acute pancreatitis. It was a retrospective study done by reviewing the hospital's medical records. Hematological indices such as hemoglobin levels, packed cell volume (PCV), red blood cell (RBC) count, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), total leukocyte count (TLC), neutrophil count, lymphocyte count, monocyte count, platelet count, neutrophil to lymphocyte count ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) were observed to be associated with severity of pancreatitis. Those with computed tomography (CT) severity score >=7 were termed as severe pancreatitis, while those below 7 were considered mild to moderate. Results A total of 154 patients were included in the final analysis. The mean age of those patients was 48.47 ± 16.71 years. There were 94 male and 60 female patients. There was no difference found among the study groups with respect to mean hemoglobin levels, RBC count, PCV, MCV, MCH, MCHC, lymphocytes, and platelet counts. TLC (p<0.001), neutrophils (p<0.001), monocytes (p=0.008), NLR (p<0.001), and PLR (p=0.006) were found higher in severe pancreatitis, while LMR was found lower in severe pancreatitis (p=0.003). A linear relationship between the hematological indices and CT severity score has shown that TLC (p=0.015), neutrophils (p=0.005), NLR (p=0.001), and PLR (p<0.001) were positively correlated with severity while lymphocyte count (p=0.004) and LMR (p=0.005) were negatively correlated with severe pancreatitis. TLC and LMR were independent predictors of severe pancreatitis with an adjusted odds ratio of 12.80 and 5.47, respectively, on multivariable regression analysis. Conclusion Many markers correlated with the CT severity score, but few of them were able to demonstrate statistical significance on receiver operating characteristic (ROC) analysis.

New markers in predicting the severity of acute pancreatitis in the emergency department: Immature granulocyte count and percentage

Background:

Acute pancreatitis (AP) may vary in severity, from mild, self-limiting pancreatic inflammation to rapidly progressive life-threatening clinical course. If the severity of AP can be predicted early and treated quickly, it may lead to a decrease in morbidity and mortality rates. There?fore, we aimed to investigate the clinical utility of immature granulocyte count (IGC) and IGC percentage (IG%) in showing the severity of AP in this study.

Methods:

Two hundred and twenty-seven patients who were admitted to our emergency department and diagnosed with AP between March 1 and September 30, 2019, were included in the study. The patients were divided into two groups as mild and severe AP (MAP and SAP) according to the severity of the disease. Demographic characteristics of the patients, disease etiology, disease severity, and inflammation markers [white blood cell count (WBC), IGC, IG%, neutrophil–lymphocyte ratio (NLR), and C-reactive protein (CRP)] were recorded. Differences between the groups were statistically analyzed.

Results:

Of the patients included in the study, 183 (80.7%) were in the MAP group and 44 (19.3%) were in the SAP group. The mean WBC, NLR, CRP, IGC, and IG% levels were significantly higher in the SAP group compared to the MAP group. The power of IGC and IG% in predicting SAP was higher than other inflammation markers (WBC, NLR, and CRP) [(AUC for IGC: 0.902; sensitivity: 78.2%; specificity: 92.8%); (AUC for IG%: 0.843; sensitivity: 72.7%; specificity: 84.6%)].

Conclusion:

IGC and IG% show the severity of AP more effectively than WBC, NLR, and CRP, which are traditional inflammation markers.

The Relationship Between Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios With Hospital Stays and Mortality in the Emergency Department

Background Most acute pancreatitis scoring is made in the first 48-72 hours or later. Like many inflammatory processes, Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) can be useful in showing the severity and extent of inflammation in acute pancreatitis. Our study aimed to evaluate whether these rates affect mortality according to the NLR and PLR values ​​of patients diagnosed with acute pancreatitis by examining the blood samples taken within the first hour after admission to the emergency department rates are useful in predicting the length of stay. Methods In our retrospective study, 557 patients applied to our clinic for 4.5 years, whose amylase and lipase values ​​were higher than two times the cut-off value in blood tests and whose CT imaging was compatible with acute pancreatitis were included in the study. Results The median length of hospitalization of the patients was 4.0 (3.0-6.0) days. Gallstones were detected in 320 (57.5%) patients. Mortality of less than a year was observed in 45 (8.1%) of the study population. Eighteen of the patients (3.2%) showed the need for follow-up in the intensive care unit. A statistically significant relationship was found between mortality and variables hematocrit (HCT), red cell distribution width (RDW),c-reactive protein CRP), glucose, urea, potassium, albumin, PLR, and NLR (p <0.05). A statistically significant correlation was observed between RDW, NLR, glucose, and CRP levels in the two groups divided according to the median value of 4 days we found on hospitalization (p <0.05). According to the graphics and test results obtained by ROC analysis, the mortality status can be predicted at a statistically significant level with PLR and NLR diagnostic tests (p <0.05). Conclusion High levels of NLR, PLR, RDW, glucose, CRP, urea, potassium, low albumin and hematocrit values ​​at the first admission in the Emergency Service seem to be associated with increased 1-year mortality in acute pancreatitis.

Red Cell Distribution Width is Associated with 30-day Mortality in Patients with Spontaneous Intracerebral Hemorrhage

Background

Red cell distribution width (RDW) has been associated with mortality and outcome in a wide variety of non-neurological and neurological diseases, namely in myocardial infarction and acute ischemic stroke, and the reason for this is not completely understood. We aimed to investigate RDW as a potential prognostic marker in patients with intracerebral hemorrhage (ICH).

Methods

This is a retrospective study of consecutive patients with acute non-traumatic ICH admitted to a single center during a 4-year period. We reviewed individual clinical records to collect demographic and baseline information, including RDW at admission, 3-month functional status, and incidence of death during follow-up. Baseline computed tomography imaging was reviewed to classify the location of ICH, and to measure ICH volume and perihematomal edema volume. Patients were divided according to quartile distribution of RDW (RDW-Q1-4).

Results

The final study population consisted of 358 patients, median age 71 years (interquartile range [IQR] 60–80), 55% were male, and median Glasgow Coma Scale was 14 (IQR 10–15), with a mean follow-up of 17.6 months. Patients with higher RDW values were older (p = 0.003), more frequently presented with an active malignancy (p = 0.005), atrial fibrillation (p < 0.001), intraventricular hemorrhage (p = 0.048), and were anticoagulated (p < 0.001). Three-month functional independence was similar throughout RDW quartiles. RDW-Q4 was independently associated with increased 30-day mortality (adjusted odds ratio = 3.36, 95%CI = 1.48–7.62, p = 0.004), but not independently associated with increased mortality after 30 days (adjusted hazards ratio = 0.71, 95%CI = 0.29–1.73, p = 0.448).

Conclusions

RDW is a robust and independent predictor of 30-day mortality in non-traumatic ICH patients, and further studies to understand this association are warranted.

Electronic supplementary material

The online version of this article (10.1007/s12028-020-01103-1) contains supplementary material, which is available to authorized users.

Diagnostic Value of Neutrophil-Lymphocyte Ratio for Predicting the Severity of Acute Pancreatitis: A Meta-Analysis

Background

Acute pancreatitis (AP) is a life-threatening disease caused by a variety of factors, and once it progresses to severe acute pancreatitis, the prognosis is poor. The purpose of this study was to investigate the diagnostic value of the neutrophil-lymphocyte ratio (NLR) for predicting the severity of acute pancreatitis.

Materials and Methods

We searched the databases of PubMed, EMBASE, Web of Science, and Cochrane Library to identify eligible studies using the NLR to predict the severity of AP. The sensitivity (SEN), specificity (SPE), negative likelihood ratio (NLR), positive likelihood ratio (PLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC) were combined using a bivariate mixed model.

Results

A total of 10 articles containing 394 cases and 1319 controls were included in the study. The combined SEN, SPE, NLR, PLR, DOR, and AUC are 79% (73%-84%), 71% (59%-80%), 0.30 (0.21-0.41), 2.7 (1.8-4.0), 9 (5-18), and 0.82 (0.78-0.85), respectively.

Conclusions

NLR has a moderately high diagnostic value in predicting the severity of acute pancreatitis.

Neutrophil to Lymphocyte Ratio and Thrombocyte to Lymphocyte Ratio, New Biochemical Parameters in Acute Pancreatitis

Background. Acute pancreatitis represents an inflammatory disease with different grades of severity, ranging from mild to severe presentation. In current practice there are a lot of biomarkers used in diagnosis and prognosis of pancreatitis.

The aim of this study was to evaluate de differences between a group with acute pancreatitis and a group of healthy people regarding the neutrophil to lymphocyte ratio (NLR), thrombocyte to lymphocyte ratio (TLR), as these two could help in the evaluation of prognosis and severity of acute pancreatitis.

Method. The study had two groups: group A, included 100 patients with acute pancreatitis and group B - 30 healthy people.

Results. In the group A there were 65% male and 35 % female with a mean age of 58.07±15.10 years, in the group B there were 50% male and 50% female with a mean age of 48.06±15.47 years. The majority of the people included in both groups were from the urban provenience. We obtained an important difference between group A and group B regarding the neutrophil to lymphocyte ratio and thrombocyte to lymphocyte ratio with an important statistical significance (p<0.001).

Conclusion. Neutrophil to lymphocyte ratio and thrombocyte to lymphocyte ratio could be promising biochemical parameters in diagnosis and prognosis of acute pancreatitis.

Neutrophil-to-lymphocyte ratio can specifically predict the severity of hypertriglyceridemia-induced acute pancreatitis compared with white blood cell

Objectives

We aimed to evaluate the values of neutrophil‐to‐lymphocyte ratio (NLR) and white blood cell (WBC) in predicting severity of acute pancreatitis (AP) with different etiologies.

Methods

We compared NLR and WBC levels in patients with different etiologies and AP severity. The optimal cutoff value for them to predict severe acute pancreatitis (SAP) was determined by receiver operating characteristic (ROC) curve analysis.

Results

Both NLR and WBC were elevated in patients with SAP. After subgrouping AP by etiology, NLR was predictive of SAP only in hypertriglyceridemia‐induced AP (HTG‐AP), while WBC could effectively predict severity in both gallstone and HTG‐AP. The best cutoff value of WBC for predicting SAP in gallstone AP patients was 12.81 × 10⁹/L, with sensitivity and specificity of 78.9% and 70.2%. The best cutoff value for NLR and WBC to differentiate HTG‐SAP was more than 5.88 and 15.89 × 10⁹/L, respectively, with sensitivity and specificity of 87% and 50% for NLR and 56.5% and 75.76% for WBC.

Conclusions

Our study firstly demonstrated that NLR selectively played a role in HTG‐AP, while WBC could predict the severity of both gallstone and HTG‐AP. Furthermore, we firstly elucidated that NLR was more sensitive and accurate in judging the severity of HTG‐AP compared with WBC.