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中华普通外科学文献(电子版) ›› 2024, Vol. 18 ›› Issue (03) : 209 -215. doi: 10.3877/cma.j.issn.1674-0793.2024.03.007

论著

HALP评分联合术前检查预测老年胃癌淋巴结转移的价值
刘哲魁1, 马文星1, 聂灵芝1, 吴云桦1, 单良2, 王泽正1,()   
  1. 1. 710068 西安,陕西省人民医院普外二科
    2. 710068 西安,陕西省人民医院医疗服务
  • 收稿日期:2024-02-03 出版日期:2024-06-01
  • 通信作者: 王泽正
  • 基金资助:
    国家自然科学基金青年项目(82200563); 陕西省国际科技合作计划项目(2023-GHYB-11)

Values of HALP score combined with preoperative examination in predicting lymph node metastasis in elderly gastric cancer patients

Zhekui Liu1, Wenxing Ma1, Lingzhi Nie1, Yunhua Wu1, Liang Shan2, Zezheng Wang1,()   

  1. 1. The Second Department of General Surgery, Shaanxi Provincial People’s Hospital, Xi’an 710068, China
    2. Department of Medical Services, Shaanxi Provincial People’s Hospital, Xi’an 710068, China
  • Received:2024-02-03 Published:2024-06-01
  • Corresponding author: Zezheng Wang
引用本文:

刘哲魁, 马文星, 聂灵芝, 吴云桦, 单良, 王泽正. HALP评分联合术前检查预测老年胃癌淋巴结转移的价值[J]. 中华普通外科学文献(电子版), 2024, 18(03): 209-215.

Zhekui Liu, Wenxing Ma, Lingzhi Nie, Yunhua Wu, Liang Shan, Zezheng Wang. Values of HALP score combined with preoperative examination in predicting lymph node metastasis in elderly gastric cancer patients[J]. Chinese Archives of General Surgery(Electronic Edition), 2024, 18(03): 209-215.

目的

探讨影响老年胃癌淋巴结转移的危险因素,并构建胃癌淋巴结转移风险列线图预测模型。

方法

回顾性收集2021年1月至2023年12月期间于陕西省人民医院行胃癌根治性切除术的248例原发性老年胃癌患者临床病理资料,通过术前血红蛋白量、血清白蛋白量、淋巴细胞计数及血小板计数计算HALP评分,根据有无淋巴结转移的情况分为转移组(156例)和非转移组(92例),采用单因素及多因素Logistic回归分析探索胃癌淋巴结转移的影响因素,并依据多因素Logistic分析结果构建预测模型,再进一步验证模型的区分度、校准度和临床实用性。

结果

HALP评分≤28.26分(OR=0.425,95% CI:0.222~0.812,P=0.010)、CA19-9≥12.62 (OR=2.860,95% CI:1.506~5.432,P=0.001)、低分化程度(OR=0.504,95% CI:0.272~0.935,P=0.030)、浸润深度cT≥2OR=5.278,95% CI:2.485~11.206,P<0.001)和糖尿病史(OR=2.727,95% CI:1.082~6.875,P=0.033)是胃癌淋巴结转移的危险因素,根据这些因素构建的列线图模型的ROC曲线下面积为0.801(95% CI:0.743~0.859);校准曲线显示列线图预测的胃癌淋巴结转移发生概率与实际结果具有良好的拟合度;决策曲线分析显示列线图模型在较大的阈值范围内可获得临床收益,具有较好的实用性。

结论

本研究建立的预测模型可以较好评估老年患者胃癌淋巴结转移的风险,有较好的临床收益范围,可为临床医师术前识别胃癌淋巴结转移患者提供参考,有助于制定更为贴合患者实际情况的手术及治疗方案,改善预后。

Objective

To investigate the risk factors affecting lymph node metastasis of gastric cancer in the elderly and to construct a column-line graph model for predicting the risk of lymph node metastasis of gastric cancer.

Methods

The clinicopathological data of 248 primary elderly gastric cancer patients who underwent radical resection for gastric cancer in Shaanxi Provincial People’s Hospital between January 2021 and December 2023 were retrospectively collected. The HALP score was calculated based on preoperative levels of hemoglobin, serum albumin, lymphocyte count, and platelet count. The patients were divided into metastatic group (156 cases) and non-metastatic group (92 cases) according to the presence or absence of lymph node metastasis, and explored the influencing factors of lymph node metastasis of gastric cancer by using single-factor and multifactorial Logistic regression analyses. A prediction model was constructed on the basis of the results of the multifactorial analyses, and then further validated for the differentiation degree, calibration degree, and clinical practicability of the model.

Results

HALP score ≤28.26 (OR=0.425, 95% CI: 0.222-0.812; P=0.010), CA19-9 ≥12.62 (OR=2.860, 95% CI: 1.506-5.432; P=0.001), and the degree of hypo differentiation (OR=0.504, 95% CI: 0.272-0.935; P=0.030), depth of infiltration cT≥2 (OR=5.278, 95% CI: 2.485-11.206; P<0.001), and history of diabetes mellitus (OR=2.727, 95% CI: 1.082-6.875; P=0.033) were the risk factors affecting lymph node metastasis of gastric cancer. The area under the ROC of the column-line diagram model constructed based on these factors was 0.801 (95% CI: 0.743-0.859); the calibration curve showed that the probability of occurrence of gastric cancer lymph node metastasis predicted by the column-line diagram was in good agreement with the actual results. The decision curve analysis showed that the column-line diagram model could obtain clinical benefits in a wide range of thresholds, which had better practicality.

Conclusion

The prediction model can better assess the risk of gastric cancer lymph node metastasis in elderly patients with a good range of clinical benefits, which can provide reference for clinicians to identify patients with gastric cancer lymph node metastasis before surgery, and help to formulate a more tailored surgical and therapeutic plan to improve the prognosis.

表1 248例老年胃癌患者的临床病理特征
表2 老年胃癌患者淋巴结转移相关影响因素的单因素分析
因素 转移组(156例) 非转移组(92例) 统计值 P
年龄(±s,岁) 70.84±4.553 71.05±4.740 -0.353 0.730
性别(男/女,例) 122/34 67/25 0.924 0.337
近期体质量下降(有/无,例) 83/73 42/50 1.321 0.250
抑酸治疗(有/无,例) 59/97 43/49 1.901 0.168
吸烟史(有/无,例) 84/72 44/48 0.840 0.359
饮酒史(有/无,例) 35/121 17/75 0.547 0.460
高血压史(有/无,例) 55/101 36/56 0.374 0.541
糖尿病史(有/无,例) 38/118 8/84 9.398 0.002a
冠心病史(有/无,例) 33/123 17/75 0.257 0.612
慢阻肺史(有/无,例) 19/137 15/77 0.832 0.362
既往腹部手术史(有/无,例) 27/129 15/77 0.041 0.839
脉管浸润(有/无,例) 117/39 36/56 31.507 <0.001a
神经侵犯(有/无,例) 124/32 50/42 17.470 <0.001a
分化程度(中+高/低) 56/100 52/40 10.013 0.002a
pTNM分期(Ⅲ/Ⅰ~Ⅱ) 130/26 2/90 153.112 <0.001a
浸润深度(cT≥2 /cT1) 137/19 45/47 44.855 <0.001a
肿瘤位置(上/中/下部) 51/39/66 39/25/28 3.758 0.153
肿瘤直径(cm) 4.00(3.00,6.00) 3.50(2.00,5.00) -3.747 <0.001a
CEA(μg/L) 2.92(1.60,5.69) 2.70(1.51,4.16) 1.598 0.110
CA19-9(U/ml) 12.94(6.63,29.28) 7.52(4.40,13.72) 3.994 <0.001a
中性粒细胞计数(109/L) 3.70(2.87,4.98) 3.75(2.88,5.00) -0.056 0.955
淋巴细胞计数(109/L) 1.28(0.94,1.67) 1.35(1.01,1.67) -0.844 0.399
单核细胞计数(109/L) 0.46(0.37,0.57) 0.48(0.33,0.60) -0.259 0.796
血小板计数(109/L) 213(163.25,265.00) 192(158.50,241.75) 1.679 0.093
血红蛋白量(g/L) 117(89.25,132.50) 131(114.00,147.00) -4.374 <0.001a
白蛋白量(g/L) 35.55(32.70,38.70) 38.10(34.00,41.08) -2.549 0.011
HALP评分(分) 24.75(14.64,35.96) 31.15(21.68,50.55) -3.553 <0.001a
图1 肿瘤直径、CA19-9、HALP预测患者淋巴结转移的ROC曲线
表3 肿瘤直径、CA19-9、HALP最佳截断值
表4 影响老年胃癌患者淋巴结转移的多因素Logistic回归分析
图2 老年胃癌患者淋巴结转移的风险预测列线图模型
图3 列线图预测老年胃癌患者淋巴结转移的ROC曲线
图4 列线图预测老年胃癌患者淋巴结转移的校准曲线
图5 列线图预测老年胃癌患者淋巴结转移的临床决策曲线分析
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