Correlation between neutrophil/lymphocyte ratio and Ranson score in acute pancreatitis

Clinical study of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in hypertriglyceridemia-induced acute pancreatitis and acute biliary pancreatitis with persistent organ failure

BACKGROUND

The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are novel inflammatory indicators that can be used to predict the severity and prognosis of various diseases. We categorize acute pancreatitis by etiology into acute biliary pancreatitis (ABP) and hypertriglyceridemia-induced acute pancreatitis (HTGP).

AIM

To investigate the clinical significance of NLR and PLR in assessing persistent organ failure (POF) in HTGP and ABP.

METHODS

A total of 1450 patients diagnosed with acute pancreatitis (AP) for the first time at Shanxi Bethune Hospital between January 2012 and January 2023 were enrolled. The patients were categorized into two groups according to the etiology of AP: ABP in 530 patients and HTGP in 241 patients. We collected and compared the clinical data of the patients, including NLR, PLR, and AP prognostic scoring systems, within 48 h of hospital admission.

RESULTS

The NLR (9.1 vs 6.9, P < 0.001) and PLR (203.1 vs 160.5, P < 0.001) were significantly higher in the ABP group than in the HTGP group. In the HTGP group, both NLR and PLR were significantly increased in patients with severe AP and those with a SOFA score ≥ 3. Likewise, in the ABP group, NLR and PLR were significantly elevated in patients with severe AP, modified computed tomography severity index score ≥ 4, Japanese Severity Score ≥ 3, and modified Marshall score ≥ 2. Moreover, NLR and PLR showed predictive value for the development of POF in both the ABP and HTGP groups.

CONCLUSION

NLR and PLR vary between ABP and HTGP, are strongly associated with AP prognostic scoring systems, and have predictive potential for the occurrence of POF in both ABP and HTGP.

Assessing the causal link between liver function and acute pancreatitis: A Mendelian randomisation study

A correlation has been reported to exist between exposure factors (e.g. liver function) and acute pancreatitis. However, the specific causal relationship remains unclear. This study aimed to infer the causal relationship between liver function and acute pancreatitis using the Mendelian randomisation method. We employed summary data from a genome-wide association study involving individuals of European ancestry from the UK Biobank and FinnGen. Single-nucleotide polymorphisms (SCNPs), closely associated with liver function, served as instrumental variables. We used five regression models for causality assessment: MR-Egger regression, the random-effect inverse variance weighting method (IVW), the weighted median method (WME), the weighted model, and the simple model. We assessed the heterogeneity of the SNPs using Cochran's Q test. Multi-effect analysis was performed using the intercept term of the MR-Egger method and leave-one-out detection. Odds ratios (ORs) were used to evaluate the causal relationship between liver function and acute pancreatitis risk. A total of 641 SNPs were incorporated as instrumental variables. The MR-IVW method indicated a causal effect of gamma-glutamyltransferase (GGT) on acute pancreatitis (OR = 1.180, 95%CI [confidence interval]: 1.021-1.365, P = 0.025), suggesting that GGT may influence the incidence of acute pancreatitis. Conversely, the results for alkaline phosphatase (ALP) (OR = 0.997, 95%CI: 0.992-1.002, P = 0.197) and aspartate aminotransferase (AST) (OR = 0.939, 95%CI: 0.794-1.111, P = 0.464) did not show a causal effect on acute pancreatitis. Additionally, neither the intercept term nor the zero difference in the MR-Egger regression attained statistical significance (P = 0.257), and there were no observable gene effects. This study suggests that GGT levels are a potential risk factor for acute pancreatitis and may increase the associated risk. In contrast, ALP and AST levels did not affect the risk of acute pancreatitis.

Low-grade inflammation for predicting severe acute pancreatitis in patients with hypertriglyceridemic acute pancreatitis

OBJECTIVES

We aimed to evaluate the association between low-grade inflammation (LGI) and the severity of hypertriglyceridemic acute pancreatitis (HTG-AP).

METHODS

We retrospectively reviewed 311 patients with HTG-AP who were admitted to the Department of Gastroenterology, Fujian Provincial Hospital between April 2012 and March 2021. Inpatient medical and radiological records were reviewed to collect the clinical manifestations, disease severity, and comorbidities. C-reactive protein (CRP) level, white blood cell (WBC) count, platelet (PLT) count, and neutrophil-to-lymphocyte ratio (NLR) were considered LGI components and were combined to calculate a standardized LGI score. The association between the LGI score and the severity of HTG-AP was analyzed using univariate and multivariate logistic regression analyses.

RESULTS

Of the 311 patients with HTG-AP, 47 (15.1%) had mild acute pancreatitis (MAP), 184 (59.2%) had moderately severe acute pancreatitis (MSAP), and 80 (25.7%) had severe acute pancreatitis (SAP), respectively. Patients with MSAP and SAP had a higher LGI score than those with MAP (1.50 vs -6.00, P < 0.001). Univariate logistic regression analysis revealed that patients with LGI scores in the fourth quartile were more likely to have MSAP and SAP (odds ratio [OR] 21.925, 95% confidence interval [CI] 5.014-95.867, P < 0.001). The multivariate logistic regression analysis confirmed that low calcium (OR 0.105, 95% CI 0.011-0.969, P = 0.047) and high LGI score (OR 1.253, 95% CI 1.066-1.473, P = 0.006) were associated with MSAP and SAP. When predicting the severity of acute pancreatitis, the LGI score had the highest area under the receiver operating characteristic (ROC) curve (0.7737) compared to its individual components.

CONCLUSION

An elevated LGI score was associated with a higher risk of SAP in patients with HTG-AP.

Circulating Blood Lymphocytes and Acute Pancreatitis Severity: A Systematic Review

Acute pancreatitis is an acute inflammatory process of the pancreas with high prevalence and varying degrees of severity that can be potentially life-threatening. Much is still unknown about which mechanisms determine the course and severity of acute pancreatitis. The primary objective of this review is to identify the potential association between circulating lymphocytes and the severity of acute pancreatitis. A systematic search was performed in Medline, Web of Science, Cochrane Central Register of Controlled Trials and ClinicalTrails.gov. The authors independently did the selection process as well as data extraction that was recorded into a flow diagram following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Our initial search identified 27,783 studies which were narrowed down to 13 by applying strict inclusion and exclusion algorithms. The consistent findings across the studies indicated that peripheral blood lymphocytes are related to acute pancreatitis severity.

Prediction of Prognosis Acute Pancreatitis with Inflammatory Markers and Patient Characteristics Compared to the Scoring System: Real-Life Data

Objectives

Acute pancreatitis (AP) is an inflammatory disease with a high morbidity and mortality rate. It is one of the most common causes of hospitalization among gastrointestinal system diseases. Inflammatory and other factors that predict the severity of AP are very important for patient management. This study will analyze the factors associated with the severity of AP.

Methods

The sample consisted of 514 patients. Demographic characteristics, comorbid diseases, causes of AP, body mass index (BMI), tobacco use, blood at admission, amylase, lipase, leukocyte, neutrophil, lymphocyte, C-reactive protein (CRP), mean platelet volume, red cell distribution width, albumin, calcium, and CRP values at 48th h were recorded. The bedside index of severity in AP (BISAP), Ranson score, neutrophil-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) values was calculated and recorded. The relationship between these parameters and the severity of AP was analyzed according to the Atlanta classification.

Results

Participants had a mean age of 55±17.8 years. More than half the participants were women (n=272, 52.9%). Biliary causes were the most common etiological causes (n=299, 58.2%). Most participants had mild pancreatitis (n=416, 80.9%). The severity of AP was associated with tobacco use, high BMI, thrombocytosis, high NLR, high PLR, high 48th h CRP, hypoalbuminemia, hypocalcemia, aspartate aminotransferase/alanine aminotransferase ratio (AST/ALT ratio), and high Ranson and BISAP scores.

Conclusion

Biochemical markers that give rapid results in the early period can provide information about the severity of AP. We may develop new scores by combining these parameters.

Novel predictor of the occurrence of DKA in T1DM patients without infection: A combination of neutrophil/lymphocyte ratio and white blood cells

The role of inflammation has been identified in the pathogenesis of diabetic ketoacidosis (DKA). The neutrophil/lymphocyte ratio (NLR) and white blood cells (WBC) can be used to predict a systemic inflammatory response. Changes in NLR and WBC levels have never been explored in type 1 diabetes mellitus (T1DM) patients with DKA and an uninfected state. This retrospective study included a total of 644 participants. NLR and WBC were measured in the control group (n = 316) and in T1DM patients with mild-DKA (n = 92), severe-DKA (n = 52), and non-DKA (n = 184) in an uninfected state. Then, we assessed the independent predictors of DKA occurrence in T1DM patients in an uninfected state. The diagnostic performance of variables was determined by receiver operating characteristic curve analysis. Serum NLR of T1DM patients is significantly higher than that of normal controls, and if DKA occurs, NLR increases further and increases with the severity of DKA. In addition to diastolic blood pressure, blood urea nitrogen, glycated hemoglobin (HbA1c), and WBC, NLR was also independently associated with DKA in T1DM patients with an uninfected state (OR = 1.386, 95% CI: 1.127-1.705, p = 0.002). Furthermore, the diagnosis analysis showed that except for NLR and WBC, the area under the curve (AUC) of indicators with a statistical difference in patients with and without DKA were 0.747 for DKA diagnosis, and after the addition of NLR and WBC, the AUC was 0.806. The increased NLR level represents a low-cost and highly accessible predictor for DKA in T1DM patients with an uninfected state. The addition of inflammation indicators can play a statistically significant role in the prediction model of the DKA occurrence.

The Role of the Body Mass Index in the Acute Pancreatitis Evolution

The etiological factors involved in acute pancreatitis are multiple, both pancreatic and extra-pancreatic, having a predisposing or triggering role. The purpose of our study was to evaluate the role of BMI (body mass index) in the evolution of acute pancreatitis. The study was performed between January 2018-October 2020 on a lot of 110 patients diagnosed with acute pancreatitis and admitted to the 1^stSurgery Clinic and the 2^ndMedical Clinic of the Craiova Emergency County Clinical Hospital, the study was prospective. The control lot consisted of patients who were not diagnosed with acute pancreatitis (n=232).Comparing the distributions according to the body mass index of the two groups by the Chi square test, a statistically significant difference is observed (p<0.05) regarding the obese patients who are diagnosed with acute pancreatitis. Obesity patients have an increased risk of developing acute pancreatitis compared to non-obese patients.

An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III

Background

Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), especially at the time of admission is very significant. This study was aimed to develop an artificial neural networks (ANN) model for early prediction of in-hospital mortality in AP.

Methods

Patients with AP were identified from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Clinical and laboratory data were utilized to perform a predictive model by back propagation ANN approach.

Results

A total of 337 patients with AP were analyzed in the study, and the in-hospital mortality rate was 11.2%. A total of 12 variables that differed between patients in survivor group and nonsurvivor group were applied to construct ANN model. Three independent variables were identified as risk factors associated with in-hospital mortality by multivariate logistic regression analysis. The predictive performance based on the area under the receiver operating characteristic curve (AUC) was 0.769 for ANN model, 0.607 for logistic regression, 0.652 for Ranson score, and 0.401 for SOFA score.

Conclusion

An ANN predictive model for in-hospital mortality in patients with AP in MIMIC-III database was first performed. The patients with high risk of fatal outcome can be screened out easily in the early stage of AP by our model.

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.

Serum glycoprotein 2 as a biomarker of severity of acute pancreatitis

BACKGROUND

Acute pancreatitis (AP) is a main cause of acute abdominal pain. Although the pathophysiology of AP is not fully understood, it is now widely acknowledged that the activation of enzymes in zymogen granules (ZGs) plays an important role in the progression of AP. In AP animal models, the up-regulation of serum ZG glycoprotein 2 (GP2) can be used as a potential biological marker for AP.

AIM

To investigate whether serum GP2 can be used as an early biomarker of AP severity.

METHODS

In a prospective single-center cohort study, plasma samples and baseline clinical data were collected from 9 healthy subjects and 59 patients with AP within 24 h of onset. Serum GP2 levels were detected by enzyme-linked immunosorbent assay, and their correlation with the severity of AP was analyzed.

RESULTS

Of the 59 AP patients, 30 had mild AP, 16 had moderate AP, and 13 had severe AP. Serum GP2 levels were significantly increased in AP patients and positively correlated with AP severity. Using 2.3 ng/mL as the cut-off point, the sensitivity and specificity of serum GP2 to distinguish moderate AP were 96.6% and 90.0%, respectively, and the positive and negative predictive values were 90.3% and 96.4%, respectively. Using 5.1 ng/mL as the cut-off point, the sensitivity, specificity, positive predictive value, and negative predictive value to distinguish severe AP were all 100%. Serum GP2 was found to be a better prognostic marker than bedside index for severity in acute pancreatitis score, hematocrit, admission or persistent systemic inflammatory response score, and C-reactive protein.

CONCLUSION

Serum GP2 increases in AP patients, and it positively correlates with the severity of AP, suggesting its potential to predict the severity of AP.

Low Serum Ionized Calcium, Elevated High-Sensitivity C-Reactive Protein, Neutrophil-Lymphocyte Ratio, and Body Mass Index (BMI) Are Risk Factors for Severe Acute Pancreatitis in Patients with Hypertriglyceridemia Pancreatitis

Background

To investigate the clinical characteristics of hypertriglyceridemia pancreatitis (HTGP) and evaluate the correlative risk factors for severe acute pancreatitis (SAP) in HTGP patients.

Material/Methods

A total of 1005 patients with acute pancreatitis (AP) admitted to Peking Union Medical College Hospital (PUMCH) from 1 Jan 2013 to 1 Aug 2018 were retrospectively reviewed. After screening, we enrolled 159 patients with HTGP and 172 with non-hypertriglyceridemia pancreatitis (NHTGP). We gathered and assessed demographic and blood biochemical information and analyzed the risk factors for SAP.

Results

Age, serum amylase (AMY), lipase (LIP), and serum ionized calcium (Ca²⁺) in the HTGP group were lower than in the NHTGP group (P<0.05), while high-sensitivity C-reactive protein (hsCRP), neutrophil–lymphocyte ratio (NLR), and body mass index (BMI) in the HTGP group were higher than in the NHTGP group (P<0.05). Among the HTGP patients, the results indicated that Ca²⁺ (OR=0.018, P<0.001, 95%CI: 0.002–0.129) was an independent protective factor for SAP, while higher CRP (OR=1.008, P=0.004, 95%CI: 1.003–1.013), NLR (OR=1.314, P<0.001, 95%CI: 1.161–1.488), and BMI (OR=1.597, P=0.002, 95%CI: 1.195–2.314) were independent risk factors for SAP.

Conclusions

Patients with HTGP had lower serum Ca²⁺ and higher hsCRP, NLR, and BMI, and these were associated with higher risk of developing SAP.

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.

Correlation between neutrophil/lymphocyte ratio and Ranson score in acute pancreatitis

BACKGROUND

Acute pancreatitis (AP) is characterized by inflammation of the pancreas, elevated pancreatic enzymes, and abdominal pain. The neutrophil to lymphocyte ratio (NLR) is used as a marker of inflammation. In this retrospective study, we aimed to investigate novel early prognostic predictors of AP, such as NLR and its correlation with the Ranson score.

METHODS

A total 435 patients (Male: 152; 34.9%, Age: 63.53 ± 17.22 years) were included in the study. Data were collected by two clinicians scanning the registered hospital records.

RESULTS

Classification of the patients according to the aetiologies revealed gallstone(s) 58.6% (n = 255), hyperlipidaemia 2.2% (n = 9), viruses 0.7% (n = 3), malignancies 0.5% (n = 2), and alcohol 0.2% (n = 1). No reason was discovered in 37.9% (n = 165) of patients. Age, duration in the intensive care unit, serum aspartate aminotransferase (AST) levels, alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), total bilirubin, direct bilirubin, lactate dehydrogenase (LDH), white blood cell (WBC) count, neutrophil count, lymphocyte count, and the NLR were greater in the group with a Ranson score ≥3 than the group with a Ranson score <3.

DISCUSSION

Quick diagnosis is essential in AP. Current scoring systems for AP diagnosis are complicated, whereas NLP is a simple, practical, and effective marker.