颈深部脓肿的临床特征及预后影响因素分析OA北大核心CSTPCD
Clinical characteristics and prognosis of deep cervical abscesses
目的 回顾分析颈深部脓肿患者的临床特征及预后影响因素.方法 回顾性分析2014年10月至2023年8月中国医科大学附属第一医院耳鼻咽喉科急诊手术治疗的166例颈深部脓肿患者的病历资料,按照预后分为预后良好组和预后不良组,根据临床资料总结其临床特征,结合计算年龄校正Charlson共病指数(aCCI)评分,采用多因素logistic回归分析2组患者各项指标对预后的影响.结果 2组性别、年龄、纵隔感染、脓毒症、糖尿病、高血压、C反应蛋白(CRP)、降钙素原(PCT)、aCCI评分比较,有统计学差异(P<0.05),表明以上因素对颈深部脓肿患者预后有显著影响.多因素回归分析结果表明纵隔感染、高血压、aCCI评分是颈深部脓肿患者预后的独立危险因素(P<0.05).结论 纵隔感染、高血压以及aCCI评分是影响颈深部脓肿患者预后的独立危险因素,可初步评估颈深部脓肿患者的预后.
Objective To analyze the clinical characteristics and prognostic factors of deep cervical abscesses.Methods The medical records of 166 patients with deep cervical abscesses who underwent emergency surgical treatment in the Department of Otolaryngology of our hospital between October 2014 and August 2023 were retrospectively analyzed.The age-adjusted Charlson comorbidity index(aCCI)was calculated based on the data obtained.The patients were divided into good and poor prognosis groups,and multivariate logistic regres-sion was used to analyze the impact of various indicators on the prognosis of the two groups of patients.Results Statistically significant differences in sex,age,mediastinal infection,sepsis,diabetes,hypertension,C-reactive protein(CRP)and procalcitonin(PCT)levels,and the aCCI scores were observed between the two groups(P<0.05).Thus,these factors have a significant impact on the prognosis of patients with deep cervical abscesses.Multivariate regression analysis showed that mediastinal infection,hypertension,and the aCCI score were independent predictors of poor prognosis in patients with deep cervical abscesses(P<0.05).Conclusion Mediastinal infection,hypertension,and the aCCI score are independent risk factors for poor prognosis in patients with deep neck abscesses and can be used to preliminarily evaluate the prognosis of patients with deep cervical abscesses.
曹弘薇;阎艾慧
中国医科大学附属第一医院耳鼻咽喉科,沈阳 110001
临床医学
颈深部脓肿纵隔感染年龄校正Charlson共病指数logistic回归分析
deep cervical abscessmediastinal infectionage-adjusted Charlson comorbidity indexlogistic regression analysis
《中国医科大学学报》 2024 (005)
434-438 / 5
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