宫颈锥形和全身炎症标志物:中性粒细胞与白蛋白比值(NPAR)对鉴别高级别宫颈上皮内瘤变(CIN)的预测价值。

IF 4.2 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-04-19 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S512991
Sıtkı Özbilgeç, Fatih Akkuş
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引用次数: 0

摘要

目的:本研究旨在评估全身炎症标志物,特别是中性粒细胞与白蛋白比(NPAR)在阴道镜检查和宫颈锥切术患者中识别高级别宫颈上皮内瘤变(CIN)的预测价值。材料与方法:对2020年1月至2024年5月间行宫颈锥切术的116例患者进行回顾性分析。收集人口统计学、临床和实验室数据,并计算炎症指数,包括NPAR、NLR(中性粒细胞与淋巴细胞比率)、PLR(血小板与淋巴细胞比率)和SII(全身免疫炎症指数)。样本量估计基于先前评估CIN炎症标志物的研究,确保足够的统计能力来检测生物标志物水平的差异。采用ROC曲线分析评估这些指标的诊断准确性。结果:NPAR对高级别CIN的预测价值最高,AUC为0.893。NPAR与其他全身性炎症标志物(如NLR和SII)之间存在显著相关性。然而,与NPAR相比,NLR和PLR的预测准确性较低。结论:NPAR是一种有价值的预测高级别CIN的生物标志物,有助于患者分层和制定治疗计划。将NPAR与其他系统标志物结合可以提高临床决策的准确性。建议进一步研究更大的队列来验证这些发现并探索其临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cervical Conization and Systemic Inflammatory Markers: The Predictive Value of Neutrophil Percentage to Albumin Ratio (NPAR) to Identify High-Grade Cervical Intraepithelial Neoplasia (CIN).

Objective: This study aimed to evaluate the predictive value of systemic inflammatory markers, particularly the Neutrophil Percentage to Albumin Ratio (NPAR), in identifying high-grade cervical intraepithelial neoplasia (CIN) in patients undergoing colposcopy and cervical conization.

Materials and methods: A retrospective analysis was conducted on 116 patients who underwent cervical conization between January 2020 and May 2024. Demographic, clinical, and laboratory data were collected, and inflammatory indices, including NPAR, NLR (Neutrophil-to-Lymphocyte Ratio), PLR (Platelet-to-Lymphocyte Ratio), and SII (Systemic Immune-Inflammation Index), were calculated. Sample size estimation was based on prior studies assessing inflammatory markers in CIN, ensuring adequate statistical power for detecting differences in biomarker levels. ROC curve analysis was performed to assess the diagnostic accuracy of these markers.

Results: NPAR demonstrated the highest predictive value for high-grade CIN, with an AUC of 0.893. Significant correlations were found between NPAR and other systemic inflammatory markers, such as NLR and SII. However, NLR and PLR showed lower predictive accuracy compared to NPAR.

Conclusion: NPAR is a valuable biomarker for predicting high-grade CIN and can aid in patient stratification and treatment planning. Integrating NPAR with other systemic markers may enhance the accuracy of clinical decisions. Further studies with larger cohorts are recommended to validate these findings and explore their clinical utility.

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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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