The Significance of Preoperative Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Systemic Inflammatory Index (SII) in Predicting Severity and Adverse Outcomes in Acute Calculous Cholecystitis

Immune cell traits and causal relationships with cholecystitis: a mendelian randomization analysis

Cholecystitis, characterized by inflammation of the gallbladder, is intricately linked to immune cells and the cytokines they produce. Despite this association, the specific contributions of immune cells to the onset and progression of cholecystitis remain to be fully understood. To delineate this relationship, we utilized the Mendelian randomization (MR) method to scrutinize the causal connections between 731 immune cell phenotypes and cholecystitis. By conducting MR analysis on 731 immune cell markers from public datasets, this study seeks to understand their potential impact on the risk of cholecystitis. It aims to elucidate the interactions between immune phenotypes and the disease, aiming to lay the groundwork for advancing precision medicine and developing effective treatment strategies for cholecystitis. Taking immune cell phenotypes as the exposure factor and cholecystitis as the outcome event, this study used single nucleotide polymorphisms (SNPs) closely associated with both immune cell phenotypes and cholecystitis as genetic instrumental variables. We conducted a two-sample MR analysis on genome-wide association studies (GWAS) data. Our research thoroughly examined 731 immune cell markers, to determine potential causal relationships with susceptibility to cholecystitis. Sensitivity analyses were performed to ensure the robustness of our findings, excluding the potential impacts of heterogeneity and pleiotropy. To avoid reverse causality, we conducted reverse MR analyses with cholecystitis as the exposure factor and immune cell phenotypes as the outcome event. Among the 731 immune phenotypes, our study identified 21 phenotypes with a causal relationship to cholecystitis (P < 0.05). Of these, eight immune phenotypes exhibited a protective effect against cholecystitis (odds ratio (OR) < 1), while the other 13 immune phenotypes were associated with an increased risk of developing cholecystitis (OR > 1). Additionally, employing the false discovery rate (FDR) method at a significance level of 0.2, no significant causal relationship was found between cholecystitis and immune phenotypes. Our research has uncovered a significant causal relationship between immune cell phenotypes and cholecystitis. This discovery not only enhances our understanding of the role of immune cells in the onset and progression of cholecystitis but also establishes a foundation for developing more precise biomarkers and targeted therapeutic strategies. It provides a scientific basis for more effective and personalized treatments in the future. These findings are expected to substantially improve the quality of life for patients with cholecystitis and mitigate the impact of the disease on patients and their families.

Neutrophil percentage-to-albumin ratio as a predictor of conservative treatment failure in acute cholecystitis: a retrospective cohort study

BACKGROUND

While early laparoscopic cholecystectomy is the standard treatment for acute cholecystitis, conservative management remains necessary in specific scenarios such as high-risk patients or resource-limited settings. This study evaluated the predictive value of neutrophil percentage-to-albumin ratio (NPAR), a biomarker derived from routine laboratory tests, alongside established inflammatory markers and clinical parameters in identifying patients at risk of conservative treatment failure.

METHODS

In this retrospective cohort study at 2 tertiary centers (2020-2023), we analyzed 508 patients with acute cholecystitis who received conservative management. The study period coincided with the COVID-19 pandemic when healthcare resource constraints led to increased utilization of conservative management. Using admission laboratory data, we calculated NPAR, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and assessed Charlson Comorbidity Index (CCI) and American Society of Anesthesiologists Physical Status (ASA-PS) classification. Receiver operating characteristic analysis and logistic regression were performed to evaluate their predictive value.

RESULTS

Conservative treatment failed in 107 patients (21.1%). Risk assessment showed higher proportions of CCI ≥ 6 (32.7% vs. 22.9%; P =.008) and ASA-PS class III-IV (16.8% vs. 8.0%; P =.002) in the failed treatment group. NPAR demonstrated superior predictive performance (area under curve, 0.906 [95% CI, 0.867-0.944]) compared with NLR (0.810 [0.765-0.855]) and PLR (0.614 [0.554-0.673]). The optimal NPAR cutoff value of 21.5 showed sensitivity of 88.8% and specificity of 84.8%. In multivariable analysis, NPAR > 21.5 emerged as the strongest independent predictor (adjusted odds ratio, 19.876 [95% CI, 8.934-42.651]; P <.001), followed by fever > 37.8 °C (2.845 [1.476-5.483]; P =.002) and leukocytosis (2.234 [1.112-4.485]; P =.024). Most treatment failures (77.6%) occurred within 48 h, requiring emergency surgery (57.9%), percutaneous drainage (37.4%), or endoscopic interventions (4.7%).

CONCLUSIONS

NPAR, combined with fever and leukocytosis, provides a practical and cost-effective framework for predicting conservative treatment failure in acute cholecystitis using routine laboratory tests. Although our study was conducted during the COVID-19 pandemic, these findings remain valuable for any clinical setting where conservative treatment is considered. The 48-hour window for most treatment failures provides a practical timeframe for clinical monitoring and intervention decisions.

How do inflammatory marker dynamics shift with acute calculous cholecystitis severity?

INTRODUCTION

Gallstone may cause complications of cholecystitis, gallbladder gangrene, perforation, and related sepsis. This study aims to identify how CRP and immune cells change in patients with acute calculous cholecystitis based on the severity of disease.

METHOD

Patients with acute calculous cholecystitis were categorized into three main groups-mild, moderate, and severe-based on the Tokyo guidelines. CRP, neutrophil, lymphocyte, helper T cells, cytotoxic T lymphocytes, and HLA-DR expression on CD14+ monocytes were measured using flow cytometry at the time of hospitalization from all patients and whether there were any differences between the groups was evaluated.

RESULTS

There were no significant differences in lymphocyte count, CD3+, CD4+, CD8+ cells, or CD4+/CD8+ ratios between groups. Though not significantly, lymphocyte count and CD3+ cells tended to decrease, while the CD4/CD8 ratio increased with disease severity. However, neutrophil count, Neutrophil/ Lymphocyte Ratio (NLR), CRP, and HLA-DR expression on CD14+ monocytes significantly increased with cholecystitis severity. The HLA-DR has 66.7% sensitivity and 92.9% specificity, while the CRP 78.6% sensitivity and 81.00% specificity and NLR 85.7% sensitivity and 76.2% specificity for predicting severe cholecystitis.

CONCLUSION

Evaluation of CRP, NLR, lymphocyte count, total CD3+ cells, CD4/CD8 ratio and HLA-DR expression on monocytes, at hospital admission, can provide clinicians with valuable information about the prognosis of the disease.

Can Hemogram Parameters and Derived Ratios Predict Conversion From Laparoscopic to Open Cholecystectomy?

Backgrounds Laparoscopic cholecystectomy (LC) is the gold standard for surgical removal of gallbladder today. In challenging cholecystectomy cases, conversion to an open technique may be necessary. Therefore, the preoperative prediction of conversion to open technique holds significant importance for patient safety and surgical strategy. In the literature, conversion to open cholecystectomy has been associated with many contradictory predictive factors. The aim of this study is to identify and comprehensively evaluate the predictive laboratory parameters and ratios associated with the conversion from laparoscopic to open cholecystectomy. Methods In this historical cohort study, the data of patients who were scheduled for and underwent LC between January 1, 2018, and September 1, 2023, were retrospectively evaluated. The preoperative laboratory findings and surgical notes of the patients were reviewed retrospectively from the archives. The correlation between patient data and the cholecystectomy groups was analyzed, and comparisons were made between the groups. Results All 160 patients initially underwent a laparoscopic approach. In emergency cases, a statistically significant association was found between lymphocyte count (p = 0.017) and lymphocyte-to-monocyte ratio (LMR) (p = 0.041) with operations completed laparoscopically and between neutrophil-to-lymphocyte ratio (NLR) (p = 0.007) and Systemic Inflammatory Response Index (SIRI) (p = 0.031) with operations converted to open surgery. In elective cases, gamma-glutamyl transferase (GGT) (p = 0.024) and total bilirubin (TBIL) (p = 0.003) were found to have a statistically significant association with operations converted to open surgery. In the logistic regression analysis, hematological parameters and ratios were not found to have a statistically significant relationship in predicting the conversion to open surgery. Conclusion Although significant differences were observed in laboratory parameters and derived ratios such as the NLR and LMR, logistic regression analysis did not identify any of these measures as significant predictors of conversion from laparoscopic to open surgery. Further prospective studies with larger sample sizes are needed in this area.

Neutrophil-to-lymphocyte ratio may predict complications and patency in bile duct injury repair

BACKGROUND

Bile duct injury (BDI) repair surgery is usually associated with morbidity/mortality. The neutrophil-to-lymphocyte ratio (NLR) easily assesses a patient's inflammatory status. The study aims to determine the possible relationship between preoperative NLR (pNLR) with postoperative outcomes in BDI repair surgery.

METHODS

Approved Ethics/Research Committee retrospective study, in patients who had a Bismuth-Strasberg type E BDI repair (2008-2023). Data registered was: morbidity, mortality, and long-term outcomes (primary patency and loss of primary patency) (Kaplan-Meier). Group comparison (U Mann-Whitney), receiver operator characteristic (ROC): area under curve [AUC]; cut-off value, and Youden index [J], and logistic regression analysis were used for pNLR evaluation.

RESULTS

Seventy-three patients were studied. Mean age was 44.4 years. E2 was the commonest BDI (38.4%). Perioperative morbidity/mortality was 31.5% and 1.4%. Primary patency was 95.9%. 8.2% have lost primary patency (3-year actuarial patency: 85.3%). Median pNLR was higher in patients who had any complication (4.84 vs. 2.89 p = 0.015), biliary complications (5.29 vs. 2.86 p = 0.01), and patients with loss of primary patency (5.22 vs. 3.1 p = 0.08). AUC's, cut-off values and (J) were: any complication (0.678, pNLR = 4.3, J = 0.38, p = 0.007), serious complication (0.667, pNLR = 4.3, J = 0.34, p = 0.04), biliary complications (0.712, pNLR = 3.64, J = 0.46, p = 0.001), and loss of primary patency (0.716, pNLR = 3.24, J = 0.52, p = 0.008). Logistic regression was significant in any complication (Exp [B]: 0.1, p = 0.002), serious complications (Exp [B]: 0.2, p = 0.03), and biliary complications (Exp [B]: 8.1, p = 0.003).

CONCLUSIONS

pNLR is associated with complications in BDI repair with moderate to acceptable predictive capacity. pNLR could potentially predict patency of a BDI repair.

Ratios of Neutrophils and Platelets to Lymphocytes as Predictors of Postoperative Intensive Care Unit Admission and Length of Stay in Bariatric Surgery Patients: A Retrospective Study

Background and Objectives: This study aimed to investigate the role of the pre- and postoperative neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting intensive care unit (ICU) admission and postoperative length of stay (LOS) in bariatric surgery. Materials and Methods: We retrospectively analysed 96 patients who underwent bariatric surgery at our institution. The NLR and PLR were calculated in the pre- and postoperative stages. Changes in pre- and postoperative hematological ratios were compared using the Wilcoxon signed-rank test. The optimal cutoff values and area under the curve (AUC) for each ratio were calculated using receiver operating characteristic (ROC) analysis. Multivariate linear regression analysis was used to assess the relationship between each ratio and the postoperative LOS after adjusting for age, sex, and American Society of Anesthesiologists (ASA) score. Results: The median age of our patients was 35.50 years, and 54.2% were male. The preoperative NLR showed a significant increase from 1.44 to 6.38 postoperatively (p < 0.001). The PLR increased from 107.08 preoperatively to 183.58 postoperatively, p < 0.001). ROC analysis showed that the postoperative NLR was a moderate to high predictor of ICU admission (AUC = 0.700, optimal cutoff point = 5.987). The postoperative PLR had less predictive power for ICU admission (AUC = 0.641, optimal cutoff point = 170.950). Ratios that had a statistically significant relationship with the postoperative LOS were the preoperative NLR (standardized β [95% CI]: 0.296 [0.115-0.598]), postoperative NLR (0.311 [0.034-0.161]), and postoperative PLR (0.236 [0.000-0.005]). Conclusions: The NLR and PLR demonstrated an independent relationship with the postoperative LOS after bariatric surgery and the predictive ability of ICU admission. Both ratios might be useful as simple markers to predict patient outcome after surgery.

The Role of Different Systemic Inflammatory Indexes Derived from Complete Blood Count in Differentiating Acute from Chronic Calculus Cholecystitis and Predicting Its Severity

Purpose

This study aimed to evaluate the diagnostic value of the different Complete blood count-derived systemic inflammation indexes, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and neutrophil to lymphocyte × platelet ratio (NLPR) in differential diagnosing the chronic calculus cholecystitis (CCC) and the acute calculus cholecystitis (ACC), as well as determining the severity of ACC.

Patients and Methods

105 CCC and 88 ACC patients were enrolled. NLR, PLR, SII, and NLPR were evaluated in both cohorts as well as in different severity levels of ACC. The severity of ACC was determined based on the Tokyo Guidelines. Receiver operating characteristic (ROC) curve and Univariate/multivariate regression analyses were conducted.

Results

The levels of NLR, PLR, SII, and NLPR were significantly higher in the ACC group compared to the CCC group. The optimal cutoff values for NLR, PLR, SII, and NLPR were determined to be 3.89, 144.7, 896.8, and 0.031 respectively. NLR>3.89 demonstrates the highest predictive capability with an AUC of 0.801 and a sensitivity of 72.73%. Multivariate analysis showed that NLR>3.89 (OR: 4.169, p = 0.004) and NLPR>0.031 (OR: 4.304, p = 0.005) were dominant in distinguishing ACC from CCC. In ACC patients, the levels of NLR, SII, and NLPR were significantly higher in the Moderate to Severe-degree ACC (MS-ACC) group than in Mild-Degree ACC (M-ACC). NLPR > 0.044 exhibited the highest predictive ability with an AUC of 0.778 and a specificity of 91.67%. Multivariate analysis showed that NLR>6.399 (OR: 10.308, p = 0.000) was a possible independent prognostic factor for accessing the severity of ACC.

Conclusion

Systemic inflammation indexes can be useful in predicting the risk of ACC and MS-ACC. NLR demonstrates the best distinguishing power and sensitivity for distinguishing ACC from CCC, while NLPR shows the best predictive power and specificity for predicting the severity of ACC.