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妇科癌症的营养评估:来自印度一家三级医疗中心的经验。

Nutritional assessment in gynecological cancers: Experience from an Indian tertiary care center.

作者信息

Rajan Saroj, Dhamija Ekta, Malhotra Neena, Kaur Parmeet, Yadav Raj Kumar, Meena Jyoti, Kumari Rajesh, Singh Anju, Singh Archana, Khurana Sachin, Deb Koushik Singh, Upadhyay Ashish Datt, Singhal Seema

机构信息

Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, India.

Department of Radiodiagnosis, All India Institute of Medical Sciences, India.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2025 Jun;310:113964. doi: 10.1016/j.ejogrb.2025.113964. Epub 2025 Apr 6.

Abstract

BACKGROUND

Malnutrition is highly prevalent among cancer patients and significantly impacts treatment outcomes. In India, the cancer-specific mechanisms of malnutrition are further exacerbated by the already high prevalence of malnutrition in the general population. Despite its clinical significance, nutritional screening remains underutilized in women with gynecological cancers. This study aims to assess malnutrition in Indian women with gynecological cancers using the standard Patient-Generated Subjective Global Assessment (PG-SGA) and the new Global Leadership Initiative on Malnutrition (GLIM) criteria screening tools.

METHODS

A prospective observational study was conducted at a tertiary center in India, involving 130 women with newly diagnosed gynecological cancers. Nutritional status was assessed using anthropometric measures (BMI, mid-arm circumference, calf circumference), inflammatory markers (serum albumin, C-reactive protein, neutrophil-to-lymphocyte ratio), and the PG-SGA and GLIM criteria. Perioperative outcomes, including blood loss, hospital stay, and complications, were evaluated.

RESULTS

Malnutrition was identified in 56.1 % of patients, using both PG-SGA and GLIN criteria, with the highest prevalence observed in ovarian cancer (68.1 %). Calf circumference < 33 cm and hypoalbuminemia (<3.5 g/dL) exhibited the best diagnostic accuracy to detect malnutrition (AUC: 0.70-0.71). Weighted kappa statistic showed moderate agreement between the PG-SGA and GLIM classifications, but PG-SGA defined malnutrition significantly predicted postoperative complications (p = 0.029), whereas the GLIM criteria did not show a significant correlation.

CONCLUSION

Both PG-SGA and GLIM are effective in detecting malnutrition, though PG-SGA is a stronger predictor of postoperative outcomes. While anthropometric and biochemical markers aid in diagnosis, they cannot replace comprehensive nutritional screening. Standardized nutritional screening and multimodal prehabilitation strategies, should be integrated into gynecological cancer management to improve patient care and surgical outcomes.

摘要

背景

营养不良在癌症患者中极为普遍,并对治疗结果产生重大影响。在印度,一般人群中本来就很高的营养不良患病率进一步加剧了特定癌症的营养不良机制。尽管其具有临床意义,但营养筛查在妇科癌症女性患者中仍未得到充分利用。本研究旨在使用标准的患者主观整体评定法(PG-SGA)和新的营养不良全球领导倡议(GLIM)标准筛查工具,评估印度妇科癌症女性患者的营养不良情况。

方法

在印度的一家三级中心进行了一项前瞻性观察性研究,纳入了130例新诊断为妇科癌症的女性患者。使用人体测量指标(体重指数、上臂围、小腿围)、炎症标志物(血清白蛋白、C反应蛋白、中性粒细胞与淋巴细胞比值)以及PG-SGA和GLIM标准评估营养状况。评估围手术期结局,包括失血量、住院时间和并发症。

结果

使用PG-SGA和GLIN标准,56.1%的患者被确定为营养不良,其中卵巢癌患者的患病率最高(68.1%)。小腿围<33 cm和低白蛋白血症(<3.5 g/dL)在检测营养不良方面表现出最佳诊断准确性(曲线下面积:0.70 - 0.71)。加权kappa统计显示PG-SGA和GLIM分类之间存在中度一致性,但PG-SGA定义的营养不良显著预测了术后并发症(p = 0.029),而GLIM标准未显示出显著相关性。

结论

PG-SGA和GLIM在检测营养不良方面均有效,尽管PG-SGA对术后结局的预测性更强。虽然人体测量和生化标志物有助于诊断,但它们无法替代全面的营养筛查。应将标准化营养筛查和多模式术前康复策略纳入妇科癌症管理,以改善患者护理和手术结局。

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