Schertz Adam R, Eisner Ashley E, Smith Sydney A, Lenoir Kristin M, Thomas Karl W
Department of Internal Medicine, Section of Pulmonology, Critical Care, Allergy & Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, NC.
Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC.
Crit Care Explor. 2023 Aug 21;5(8):e0955. doi: 10.1097/CCE.0000000000000955. eCollection 2023 Aug.
Clinical sepsis phenotypes may be defined by a wide range of characteristics such as site of infection, organ dysfunction patterns, laboratory values, and demographics. There is a paucity of literature regarding the impact of site of infection on the timing and pattern of clinical sepsis markers. This study hypothesizes that important phenotypic variation in clinical markers and outcomes of sepsis exists when stratified by infection site.
Retrospective cohort study.
Five hospitals within the Wake Forest Health System from June 2019 to December 2019.
Six thousand seven hundred fifty-three hospitalized adults with a discharge , 10th Revision code for acute infection who met systemic inflammatory response syndrome (SIRS), quick Sepsis-related Organ Failure Assessment (qSOFA), or Sequential Organ Failure Assessment (SOFA) criteria during the index hospitalization.
None.
The primary outcome of interest was a composite of 30-day mortality or shock. Infection site was determined by a two-reviewer process. Significant demographic, vital sign, and laboratory result differences were seen across all infection sites. For the composite outcome of shock or 30-day mortality, unknown or unspecified infections had the highest proportion (21.34%) and CNS infections had the lowest proportion (8.11%). Respiratory, vascular, and unknown or unspecified infection sites showed a significantly increased adjusted and unadjusted odds of the composite outcome as compared with the other infection sites except CNS. Hospital time prior to SIRS positivity was shortest in unknown or unspecified infections at a median of 0.88 hours (interquartile range [IQR], 0.22-5.05 hr), and hospital time prior to qSOFA and SOFA positivity was shortest in respiratory infections at a median of 54.83 hours (IQR, 9.55-104.67 hr) and 1.88 hours (IQR, 0.47-17.40 hr), respectively.
Phenotypic variation in illness severity and mortality exists when stratified by infection site. There is a significantly higher adjusted and unadjusted odds of the composite outcome of 30-day mortality or shock in respiratory, vascular, and unknown or unspecified infections as compared with other sites.
临床脓毒症表型可由多种特征定义,如感染部位、器官功能障碍模式、实验室检查值和人口统计学特征等。关于感染部位对临床脓毒症标志物出现时间和模式的影响,相关文献较少。本研究假设,根据感染部位进行分层时,脓毒症的临床标志物和预后存在重要的表型差异。
回顾性队列研究。
2019年6月至2019年12月期间维克森林医疗系统内的五家医院。
6753名住院成年患者,出院时国际疾病分类第10版编码为急性感染,且在本次住院期间符合全身炎症反应综合征(SIRS)、快速脓毒症相关器官功能衰竭评估(qSOFA)或序贯器官衰竭评估(SOFA)标准。
无。
主要关注的结局是30天死亡率或休克的复合指标。感染部位由两名评估人员确定。所有感染部位在人口统计学、生命体征和实验室检查结果方面均存在显著差异。对于休克或30天死亡率的复合结局,不明或未明确的感染比例最高(21.34%),中枢神经系统感染比例最低(8.11%)。与除中枢神经系统外的其他感染部位相比,呼吸道、血管以及不明或未明确的感染部位出现复合结局的校正和未校正比值均显著升高。不明或未明确感染患者在SIRS阳性之前的住院时间最短,中位数为0.88小时(四分位间距[IQR],0.22 - 5.05小时),呼吸道感染患者在qSOFA和SOFA阳性之前的住院时间最短,中位数分别为54.83小时(IQR,9.55 - 104.67小时)和1.88小时(IQR,0.47 - 17.40小时)。
根据感染部位进行分层时,疾病严重程度和死亡率存在表型差异。与其他部位相比,呼吸道、血管以及不明或未明确的感染部位出现30天死亡率或休克复合结局的校正和未校正比值显著更高。