Neutrophil Percentage-to-Albumin Ratio and Neutrophil-to-Albumin Ratio as novel biomarkers for non-alcoholic fatty liver disease: a systematic review and meta-analysis.

IF 2.4 3区 医学 Q3 ENVIRONMENTAL SCIENCES
Amr Ali Mohamed Abdelgawwad El-Sehrawy, Maryam Jafari, Ahmed Hussein Zwamel, Pegah Rashidian, Suhas Ballal, Rishiv Kalia, Anima Nanda, Laxmidhar Maharana, Sepide Javankiani, Mohammad Hashemi, Ehsan Amini-Salehi
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引用次数: 0

Abstract

Background: Non-alcoholic fatty liver disease (NAFLD) is a major global health concern, with rising prevalence linked to obesity, insulin resistance, and metabolic syndrome. Timely and accurate identification of individuals at risk is crucial for improving outcomes. Recently, systemic inflammatory and nutritional markers such as the Neutrophil Percentage-to-Albumin Ratio (NPAR) and the Neutrophil-to-Albumin Ratio (NAR) have emerged as promising non-invasive biomarkers for NAFLD. Both ratios reflect inflammation and hepatic nutritional status, offering potential utility in predicting disease presence and progression. This systematic review and meta-analysis aimed to evaluate the diagnostic value of NPAR and NAR in patients with NAFLD.

Methods: A comprehensive search was performed across databases including PubMed, Embase, Scopus, and Web of Science from inception to December 28, 2024. Data extraction was carried out using a standardized form, and the methodological quality of included studies was assessed using the Newcastle-Ottawa Scale. Statistical analyses were performed using STATA version 18, employing a random-effects model.

Results: The meta-analysis demonstrated that both the Neutrophil Percentage-to-Albumin Ratio (NPAR) and the Neutrophil-to-Albumin Ratio (NAR) were significantly higher in patients with NAFLD compared to healthy individuals. NPAR showed a standardized mean difference (SMD) of 0.28 (95% CI: 0.22-0.35, P < 0.01), while NAR had a higher effect size with an SMD of 0.69 (95% CI: 0.44-0.93, P < 0.01). The pooled diagnostic performance of NPAR yielded a sensitivity of 69.5% (95% CI: 56.3-82.6%), specificity of 63.1% (95% CI: 46.6-70.0%), and an area under the curve (AUC) of 76.05% (95% CI: 66.3-85.7%). For NAR, the pooled sensitivity was 65.0% (95% CI: 49.0-82.0%), specificity was 63.0% (95% CI: 47.0-79.0%), and AUC was 69.0% (95% CI: 48.0-89.0%).

Conclusion: In conclusion, both NPAR and NAR were found to be elevated in individuals with NAFLD, supporting their potential as non-invasive and accessible biomarkers. These ratios reflect key aspects of systemic inflammation and nutritional status, offering clinical value in early detection and risk stratification. However, given the limited number of studies available-particularly for NAR-further research is needed to confirm these findings, establish standardized thresholds, and assess their performance across diverse populations and clinical settings.

Clinical trial number: Not applicable.

中性粒细胞百分比-白蛋白比率和中性粒细胞-白蛋白比率作为非酒精性脂肪性肝病的新生物标志物:系统综述和荟萃分析
背景:非酒精性脂肪性肝病(NAFLD)是一个主要的全球健康问题,其患病率上升与肥胖、胰岛素抵抗和代谢综合征有关。及时准确地识别有风险的个体对于改善结果至关重要。最近,全身炎症和营养标志物,如中性粒细胞与白蛋白比率(NPAR)和中性粒细胞与白蛋白比率(NAR)已成为NAFLD的有前途的非侵入性生物标志物。这两个比值反映了炎症和肝脏营养状况,在预测疾病的存在和进展方面具有潜在的效用。本系统综述和荟萃分析旨在评价NPAR和NAR在NAFLD患者中的诊断价值。方法:对PubMed、Embase、Scopus、Web of Science等数据库进行全面检索,检索时间自成立至2024年12月28日。使用标准化表格进行数据提取,并使用纽卡斯尔-渥太华量表评估纳入研究的方法学质量。统计分析采用STATA version 18,采用随机效应模型。结果:荟萃分析显示,NAFLD患者的中性粒细胞百分比与白蛋白比率(NPAR)和中性粒细胞与白蛋白比率(NAR)均显著高于健康个体。NPAR的标准化平均差异(SMD)为0.28 (95% CI: 0.22-0.35)。结论:NPAR和NAR在NAFLD患者中均升高,支持它们作为非侵入性和可获取的生物标志物的潜力。这些比率反映了全身性炎症和营养状况的关键方面,为早期发现和风险分层提供了临床价值。然而,鉴于可用的研究数量有限,特别是针对nar的研究,需要进一步的研究来证实这些发现,建立标准化的阈值,并评估其在不同人群和临床环境中的表现。临床试验号:不适用。
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来源期刊
Journal of Health, Population, and Nutrition
Journal of Health, Population, and Nutrition 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
0.00%
发文量
49
审稿时长
6 months
期刊介绍: Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.
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