临床荟萃 ›› 2023, Vol. 38 ›› Issue (3): 245-249.doi: 10.3969/j.issn.1004-583X.2023.03.009

• 论著 • 上一篇    下一篇

中性粒细胞计数联合血尿酸对急性一氧化碳中毒患者心肌损伤的预测价值

刘彬1, 翟桂兰2a(), 孙巨峰2b   

  1. 1.锦州医科大学 研究生学院, 辽宁 锦州 121000
    2.锦州医科大学附属第一医院 a.老年医学科;b.急诊医学科,辽宁 锦州 121000
  • 收稿日期:2022-12-06 出版日期:2023-03-20 发布日期:2023-05-11
  • 通讯作者: 翟桂兰 E-mail:zhu66333@163.com

Forecast value of neutrophil count combined with serum uric acid on myocardial injury after acute carbon monoxide poisoning

Liu Bin1, Zhai Guilan2a(), Sun Jufeng2b   

  1. 1. Graduate School of Jinzhou Medical University,Jinzhou 121000,China
    2. Department of Geratology;@2b.Department of Emergency,the First Affiliated Hospital of Jinzhou Medical University,Jinzhou 121000,China
  • Received:2022-12-06 Online:2023-03-20 Published:2023-05-11
  • Contact: Zhai Guilan E-mail:zhu66333@163.com

摘要:

目的 探究中性粒细胞计数联合血尿酸对急性一氧化碳中毒(acute carbon monoxide poisoning,ACOP)患者心肌损伤的预测价值。方法 选取2021年1月至2022年6月于锦州医科大学附属第一医院消化内科住院治疗的ACOP患者114例。根据入院24小时内超敏肌钙蛋白I是否增高将患者分为心肌损伤组( n=72)和无心肌损伤组( n=42)。收集并比较两组临床资料,采用二元多因素Logistic回归分析筛选ACOP患者心肌损伤的独立危险因素,采用受试者工作特征曲线分析相关指标对ACOP患者心肌损伤的预测价值。结果 两组性别、高血压病史、糖尿病史、吸烟史、入院时体温差异均无统计学意义( P>0.05)。与无心肌损伤组比较,心肌损伤组年龄较大、中性粒细胞计数水平较高、血肌酐水平较高、血尿酸水平较高,差异均有统计学意义( P<0.05)。二元多因素Logistic回归分析显示,年龄、中性粒细胞计数、血尿酸是ACOP患者心肌损伤的独立危险因素。中性粒细胞计数、血尿酸预测ACOP患者心肌损伤的界值分别为9.55×109/L、325 μmol/L。中性粒细胞计数联合血尿酸预测ACOP患者心肌损伤的敏感度为68.1%,特异度73.8%,曲线下面积为0.737,约登指数为0.419。结论 年龄、中性粒细胞计数、血尿酸是ACOP患者心肌损伤的独立危险因素。中性粒细胞计数联合血尿酸对预测ACOP患者心肌损伤具有一定的价值。

关键词: 一氧化碳中毒, 心肌损伤, 中性粒细胞计数, 血尿酸

Abstract:

Objective To investigate the predictive value of neutrophil count combined with serum uric acid (SUA) on myocardial injury in patients with acute carbon monoxide poisoning (ACOP). Methods A total of 114 ACOP patients who were hospitalized in the Department of Gastroenterology at the First Affiliated Hospital of Jinzhou Medical University from January 2021 to June 2022 were enrolled. Patients were allocated to a myocardial injury group ( n=72) and a non-myocardial injury group ( n=42) based on whether there was an increase in cardiac troponin I (cTnI) within 24 hours of admission. Clinical data of two sets were compared. Multivariate binary logistic regression analysis was employed to assess independent risk factors for myocardial injury in ACOP patients. Receiver operating characteristic curve analysis was performed to analyze the predictive value of relevant indicators in these patients. Results There was no significant difference in gender, hypertension history, diabetes history, smoking history and body temperature at admission between the two groups ( P>0.05). Compared with the non-myocardial injury group, the myocardial injury group had significantly higher age, neutrophil count levels, blood creatinine levels, and higher SUA levels ( P<0.05). Binary multivariate logistic regression analysis showed that age, neutrophil count, and SUA were independent risk factors for myocardial injury in ACOP patients. The cutoff values of neutrophil count and SUA for predicting myocardial injury in ACOP patients were 9.55×109/L and 325 μmol/L, respectively. The sensitivity and specificity of neutrophil count combined with SUA in predicting myocardial injury in ACOP patients were 68.1%, 73.8%, respectively, and 0.737 for the area under the curve (AUC), 0.419 for Jordan index. Conclusion Age, neutrophil count, and SUA are independent risk factors for myocardial injury in ACOP patients. The combination of neutrophil count and SUA has certain value in predicting myocardial injury in ACOP patients.

Key words: carbon monoxide poisoning, myocardial injury, neutrophil count, serum uric acid

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