The Correlation Between Platelet-to-Lymphocyte Ratio and Neutrophil-to-Lymphocyte Ratio with Hepatic Echinococcosis

Interpretation of inflammatory markers in lung cyst hydatid disease

Studies on alterations in inflammatory markers and risk factors for perforation in hydatid cysts of the lung are rare. In our study, we planned to investigate the effect of inflammatory markers on prognosis of hydatid cyst disease. 37 patients underwent surgery for pulmonary hydatid cyst between February 2022 and October 2023 and analyzed retrospectively. Inflammatory markers were calculated from preoperative and postoperative 3rd-month peripheral blood results. Cyst size was 58.5 ± 28.0 mm, 5 patients had bilateral cysts and 11 patients had multifocal cysts. Preoperative white blood cell, white blood cell difference, preoperative and postoperative eosinophils, preoperative neutrophils, neutrophils difference, preoperative systemic immune inflammatory index, systemic immune inflammatory index difference and preoperative eosinophil lymphocyte ratio were higher in patients with perforated cysts, the cut-off value for preoperative white blood cell for perforation was 10,535, preoperative cut-off value for eosinophils was 230, preoperative cut-off value for neutrophils was 8815, the cut-off value for preoperative systemic immune inflammatory index was 1129.83 and the cut-off value for preoperative eosinophil-lymphocyte ratio was 0.09. In patients with preoperative eosinophil, neutrophil, white blood cell, eosinophil-lymphocyte ratio and systemic immune inflammatory index values above the cut-off value, the probability of perforation increased 7.5, 13.6, 6.3, 9.6, and 9.3 times, respectively.

Evaluation of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as potential markers for ulcerative colitis: a retrospective study

PURPOSE

Ulcerative colitis (UC) is a chronic idiopathic inflammatory disorder affecting the large intestine. Inflammatory biomarkers in UC are nonspecific, simple and cheap biomarker is needed. Our study aimed to explore the possible relationship of platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) with the disease activity in UC. Furthermore, the correlation of PLR or NLR with other clinical indicators was evaluated.

METHODS

We retrospectively reviewed the clinical data of UC patients presented to the Affiliated Hospital of Nanjing TCM University. A total of 306 UC patients were included in the study. Clinical characteristics, NLR, PLR, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fecal calprotectin (FC) and other data were collected.

RESULTS

PLR and NLR were elevated in active UC patients than those in remission. The receiver-operating characteristic (ROC) analysis revealed the optimal cutoff of NLR for active UC was 2.19, with sensitivity and specificity of 78.8 and 65%, respectively. For PLR, the best cut-off value was 147.96, with sensitivity and specificity of 58.3 and 75%, respectively. Both NLR and PLR were positively correlated with CRP, ESR and FC.

CONCLUSIONS

PLR and NLR were elevated in patients with active UC as compared with patients in remission. NLR and PLR could be used in patients with UC as noninvasive markers of disease activity.

The correlation between neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio with nonalcoholic fatty liver disease: a cross-sectional study

OBJECTIVE

The aim of this study is to investigate the correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with nonalcoholic fatty liver disease (NAFLD).

METHODS

All subjects underwent medical check-ups, which included the measurement of basic clinical, biochemical tests and imaging tests. Univariate and multivariate logistic regression models and piece-wise linear regression were used to assess the relationship between NLR and PLR with NAFLD.

RESULTS

All participants were divided into two groups: the Non-NAFLD group and the NAFLD group. Univariate analysis model indicated PLR was negatively correlated with NAFLD (P < 0.001) and NLR was not significantly associated with NAFLD (P > 0.05). Multiple logistic regression showed that no correlation between NLR and PLR with NAFLD after adjusting all covariates (P > 0.05). Interestingly, a nonlinear association was detected between NLR and PLR with NAFLD by piece-wise linear regression adjusting for all confounding factors. The inflection points of NLR and PLR were 1.23 and 42.29, respectively. On the left side of the inflection point (NLR < 1.23), a positive correlation was detected between NLR and NAFLD (β = 2.35, 95% CI: 1.20~4.61, P = 0.013). And PLR was found to be negatively associated with NAFLD on the right side of the inflection point (β = 0.99, 95% CI: 0.98~0.99, P < 0.001).

CONCLUSION

This study demonstrated that the relationship between NLR and PLR with NAFLD was nonlinear after adjusting for potential confounding factors. The result suggested that PLR ≥ 42.29 might be a protective factor of NAFLD, while NLR < 1.23 might be a risk factor of NAFLD.