logo

Quality Improvement Initiative for Severe Sepsis and Septic Shock Reduces 90-Day Mortality: A 7.5-Year Observational Study*

    loading  Checking for direct PDF access through Ovid

Abstract

Objective:

To investigate the impact of a quality improvement initiative for severe sepsis and septic shock focused on the resuscitation bundle on 90-day mortality. Furthermore, effects on compliance rates for antiinfective therapy within the recommended 1-hour interval are evaluated.

Design:

Prospective observational before-after cohort study.

Setting:

Tertiary university hospital in Germany.

Patients:

All adult medical and surgical ICU patients with severe sepsis and septic shock.

Intervention:

Implementation of a quality improvement program over 7.5 years.

Measurements:

The primary endpoint was 90-day mortality. Secondary endpoints included ICU and hospital mortality rates and length of stay, time to broad-spectrum antiinfective therapy, and compliance with resuscitation bundle elements.

Main Results:

A total of 14,115 patients were screened. The incidence of severe sepsis and septic shock was 9.7%. Ninety-day mortality decreased from 64.2% to 45.0% (p < 0.001). Hospital length of stay decreased from 44 to 36 days (p < 0.05). Compliance with resuscitation bundle elements was significantly improved. Antibiotic therapy within the first hour after sepsis onset increased from 48.5% to 74.3% (p < 0.001). Multivariate analysis revealed blood cultures before antibiotic therapy (hazard ratio, 0.60–0.84; p < 0.001), adequate calculated antibiotic therapy (hazard ratio, 0.53–0.75; p < 0.001), 1–2 L crystalloids within the first 6 hours (hazard ratio 0.67–0.97; p = 0.025), and greater than or equal to 6 L during the first 24 hours (hazard ratio, 0.64–0.95; p = 0.012) as predictors for improved survival.

Conclusions:

The continuous quality improvement initiative focused on the resuscitation bundle was associated with increased compliance and a persistent reduction in 90-day mortality over a 7.5-year period. Based on the observational study design, a causal relationship cannot be proven, and respective limitations need to be considered.

Related Topics

    loading  Loading Related Articles

Join Ovid Insights!

Benefits of Ovid Insights Include:

  • Consolidated email digests of the latest research in your favorite topics
  • A personalized dashboard of your topics all on one page 
  • Tools to bookmark and share articles of interest
  • Ability to customize and save your own searches

Register with Ovid Insights »