Sepsis, the Administration of IV Fluids, and Respiratory Failure: A Retrospective Analysis-SAIFR Study.

Chest(2020)

引用 4|浏览9
暂无评分
摘要
BACKGROUND:Although resuscitation with IV fluids is the cornerstone of sepsis management, consensus regarding their association with improvement in clinical outcomes is lacking. RESEARCH QUESTION:Is there a difference in the incidence of respiratory failure in patients with sepsis who received guideline-recommended initial IV fluid bolus of 30 mL/kg or more conservative resuscitation of less than 30 mL/kg? STUDY DESIGN AND METHODS:This was a retrospective analysis of prospectively collected clinical data conducted at an academic medical center in Omaha, Nebraska. We abstracted data from 214 patients with sepsis admitted to a single academic medical center between June 2017 and June 2018. Patients were stratified by receipt of guideline-recommended fluid bolus. The primary outcome was respiratory failure defined as an increase in oxygen flow rate or more intense oxygenation and ventilation support; oxygen requirement and volume were measured at admission, 6 h, 12 h, 24 h, and at discharge. Subgroup analyses were conducted in high-risk patients with congestive heart failure (CHF) as well as those with chronic kidney disease (CKD). RESULTS:A total of 62 patients (29.0%) received appropriate bolus treatment. The overall rate of respiratory failure was not statistically different between patients who received appropriate bolus or did not (40.3% vs 36.8%; P = .634). Likewise, no differences were observed in time to respiratory failure (P = .645) or risk of respiratory failure (adjusted hazard ratio, 1.1 [95% CI, 0.7-1.7]; P = .774). Results were similar within the high-risk CHF and CKD subgroups. INTERPRETATION:In this single-center retrospective study, we found that by broadly defining respiratory failure as an increase in oxygen requirements, a conservative initial IV fluid resuscitation strategy did not correlate with decreased rates of hypoxemic respiratory failure.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要