AI Summary & Key Takeaways
AI InsightThis score can serve as a simple and useful scoring system for predicting the prognosis of malignant pleural mesothelioma in clinical practice.
📌 3 Key Takeaways
Abstract
Aims: Malignant mesothelioma (MM) is a rare cancer with a poor prognosis that is frequently detected late in the disease's progression. The purpose of our sudy was to contribute to the literature by investigating how inflammation indices such as neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), prognostic nutritional index (PNI), systemic inflammation response index (SIRI), and HALP scores affect disease progression and prognosis in patients with MM. Methods: This study retrospectively examined 85 patients pathologically diagnosed with malignant pleural and peritoneal mesothelioma. NLR, PLR, LMR, PNI, SIRI, and HALP scores of the patients were calculated. Results: The area under the curve (AUC) values obtained by ROC analysis are NLR (0.65), PLR (0.67), LMR (0.66), PNI (0.64), SIRI (0.66), and HALP (0.77). The cut-off values were as follows: NLR (3.2), PLR (168.5), PNI (35.2), LMR (2.5), SIRI (2.2) and HALP (22.8). In multivariate analysis, being inoperable was found to be associated with lower survival, while receiving chemotherapy and high PNI value were found to be associated with higher survival (p<0.05). Conclusion: In our study, patients with high PNI had longer median survival time. This score can serve as a simple and useful scoring system for predicting the prognosis of malignant pleural mesothelioma in clinical practice.