Wallgren Ulrika Margareta, Bohm Katarina Eva Margareta, Kurland Lisa
Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Sjukhusbacken 10, SE 118 83, Stockholm, Sweden.
Fisksätra Vårdcentral (Primary Health Care Center), Fisksätra torg 20, SE 133 41, Saltsjöbaden, Sweden.
Scand J Trauma Resusc Emerg Med. 2017 Mar 3;25(1):23. doi: 10.1186/s13049-017-0367-z.
Current sepsis screening tools rely on vital parameters which are, however, normal in one third of patients with serious infections. Therefore, there is a need to include other variables than vital parameters to identify septic patients. Our primary aim was to identify and quantify keywords related to the septic patients' symptom presentation in the prehospital setting. The secondary aims were to compare keywords in relation to in-hospital mortality and the distribution of keywords in relation to age categories, survivors/ deceased and severe/ non-severe sepsis.
A mixed methods analysis using a sequential exploratory design was performed, starting with a content analysis of presentations of septic patients as documented in Emergency Medical Services (EMS) records (n = 80) from 2012, to identify keywords related to sepsis presentation. Thereafter, the identified keywords were quantified among 359 septic patients from 2013. All patients were adults, admitted to Södersjukhuset and discharged with an ICD-10-code (International Classification of Diseases, Tenth Revision) compatible with sepsis.
The most common keywords related to septic patients' symptom presentation were: abnormal/ suspected abnormal temperature (64.1.%), pain (38.4%), acute altered mental status (38.2%), weakness of the legs (35.1%), breathing difficulties (30.4%), loss of energy (26.2%) and gastrointestinal symptoms (24.0%). There was an association between keywords and in-hospital mortality. Symptoms varied between age categories, survivors/ deceased and severe/ non-severe sepsis.
This is, to the best of our knowledge, the first study exploring the symptom presentation as documented by EMS, of septic patients in the prehospital setting. Keywords related to patients´ symptom presentation recurred in the EMS records of septic patients, so that a pattern was discernible. In addition, certain symptom presentations were associated with increased in-hospital mortality CONCLUSIONS: Information relating to symptom presentation is not included in current sepsis screening tools. We suggest that keywords related to patients´ symptom presentation could be integrated into screening tools and may thus increase the identification of sepsis, and potentially also identify high-risk patients. However, as a first step, the specificity of these keywords, with respect to sepsis, needs to be examined.
目前的脓毒症筛查工具依赖生命体征参数,然而,三分之一的严重感染患者生命体征参数正常。因此,需要纳入生命体征参数以外的其他变量来识别脓毒症患者。我们的主要目的是识别和量化与院前环境中脓毒症患者症状表现相关的关键词。次要目的是比较与院内死亡率相关的关键词,以及与年龄类别、存活者/死亡者和严重/非严重脓毒症相关的关键词分布情况。
采用顺序探索性设计进行混合方法分析,首先对2012年紧急医疗服务(EMS)记录(n = 80)中记录的脓毒症患者表现进行内容分析,以识别与脓毒症表现相关的关键词。此后,在2013年的359例脓毒症患者中对识别出的关键词进行量化。所有患者均为成年人,入住南泰利耶医院,并根据与脓毒症相符的国际疾病分类第十版(ICD-10)编码出院。
与脓毒症患者症状表现相关的最常见关键词为:体温异常/疑似异常(64.1%)、疼痛(38.4%)、急性精神状态改变(38.2%)、腿部无力(35.1%)、呼吸困难(30.4%)、精力丧失(26.2%)和胃肠道症状(24.0%)。关键词与院内死亡率之间存在关联。不同年龄类别、存活者/死亡者以及严重/非严重脓毒症患者的症状有所不同。
据我们所知,这是第一项探索院前环境中脓毒症患者EMS记录所记载症状表现的研究。与患者症状表现相关的关键词在脓毒症患者的EMS记录中反复出现,从而呈现出一种模式。此外,某些症状表现与院内死亡率增加相关。结论:目前的脓毒症筛查工具未包含与症状表现相关的信息。我们建议将与患者症状表现相关的关键词纳入筛查工具,这可能会增加脓毒症的识别率,还可能识别出高危患者。然而,作为第一步,需要检查这些关键词针对脓毒症的特异性。