Ning Xian-Li, Shao Min
Department of Emergency, Anqing Municipal Hospital, Anqing 246000, Anhui Province, China.
Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
World J Clin Cases. 2023 Sep 6;11(25):5903-5909. doi: 10.12998/wjcc.v11.i25.5903.
Emergency sepsis is a common and serious infectious disease, and its prognosis is influenced by a number of factors.
To analyse the factors influencing the prognosis of patients with emergency sepsis in order to provide a basis for individualised patient treatment and care. By retrospectively analysing the clinical data collected, we conducted a comprehensive analysis of factors such as age, gender, underlying disease, etiology and site of infection, inflammatory indicators, multi-organ failure, cardiovascular function, therapeutic measures, immune status and severity of infection.
Data collection: Clinical data were collected from patients diagnosed with acute sepsis, including basic information, laboratory findings, medical history and treatment options. Variable selection: Variables associated with prognosis were selected, including age, gender, underlying disease, etiology and site of infection, inflammatory indicators, multi-organ failure, cardiovascular function, treatment measures, immune status and severity of infection. Data analysis: The data collected are analysed using appropriate statistical methods such as multiple regression analysis and survival analysis. The impact of each factor on prognosis was assessed according to prognostic indicators, such as survival, length of stay and complication rates.
Descriptive statistics: Descriptive statistics were performed on the data collected from the patients, including their basic characteristics and clinical presentation.
Type 2 diabetes mellitus were independent factors affecting the prognosis of patients with sepsis.
急诊脓毒症是一种常见且严重的传染病,其预后受多种因素影响。
分析影响急诊脓毒症患者预后的因素,为患者的个体化治疗与护理提供依据。通过回顾性分析所收集的临床资料,我们对年龄、性别、基础疾病、感染病因及部位、炎症指标、多器官功能衰竭、心血管功能、治疗措施、免疫状态及感染严重程度等因素进行了综合分析。
数据收集:从诊断为急性脓毒症的患者中收集临床资料,包括基本信息、实验室检查结果、病史及治疗选择。变量选择:选择与预后相关的变量,包括年龄、性别、基础疾病、感染病因及部位、炎症指标、多器官功能衰竭、心血管功能、治疗措施、免疫状态及感染严重程度。数据分析:使用多元回归分析和生存分析等适当的统计方法对所收集的数据进行分析。根据生存、住院时间和并发症发生率等预后指标评估各因素对预后的影响。
描述性统计:对从患者收集的数据进行描述性统计,包括其基本特征和临床表现。
2型糖尿病是影响脓毒症患者预后的独立因素。