113 Use of Computerized Sepsis Care Plans Improved Resuscitation Parameters in Patients With Severe Sepsis and Septic Shock

2014 ◽  
Vol 64 (4) ◽  
pp. S41
Author(s):  
E. Giesler ◽  
R. Sherwin ◽  
C. Courage ◽  
S. Stewart ◽  
A. Fiorvento ◽  
...  
2021 ◽  
Author(s):  
Ty B. Bolte ◽  
Morgan B. Swanson ◽  
Anna Kaldjian ◽  
Nicholas M. Mohr ◽  
Jennifer McDanel ◽  
...  

Objective: Sepsis is a common cause of death in hospitalized patients. The Centers for Medicare & Medicaid Service (CMS) Severe Sepsis and Septic Shock Bundle (SEP-1) is an evidence-based early management bundle focused on improving sepsis outcomes. It is unknown which quality improvement (QI) practices are associated with SEP-1 compliance and if those practices reduce sepsis mortality. The objectives of this study were to compare sepsis QI practices in SEP-1 reporting and non-reporting hospitals and to measure the association between specific elements of sepsis QI processes and SEP-1 performance and hospital-specific risk-adjusted sepsis mortality. Design, Setting, and Patients: This mixed methods study linked telephone survey data on QI practices from Iowa hospitals to SEP-1 performance data and risk-adjusted mortality from statewide all-payer administrative claims database. The survey assessed sepsis QI practices in eight categories. Characteristics of hospitals and sepsis QI practices were compared by SEP-1 reporting status. Univariable and multivariable logistic and linear regression estimated the association of QI practices with hospital SEP-1 performance and observed-to-expected sepsis mortality ratios. Interventions: None Measurements and Main Results: All 118 Iowa hospitals completed the survey (100% response rate). SEP-1 reporting hospitals were more likely to have sepsis QI practices, including reporting sepsis quality to providers (64% vs. 38%, p = 0.026) and using the case review process to develop sepsis care plans (87% vs. 64%, p = 0.013). Sepsis QI practices were not associated with increased SEP-1 scores. Two were associated with reduced mortality: having a sepsis committee B= -0.11, p = 0.036) and using case review results for sepsis care plans (B= -0.10, p = 0.049). Conclusions: Hospitals reporting SEP-1 compliance to CMS conduct more sepsis QI practices. Most QI practices are not associated with increased SEP-1 performance or decreased sepsis mortality. Future work could explore how to implement these performance improvement practices in hospitals not reporting SEP-1 compliance.


Critical Care ◽  
2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Toshikazu Abe ◽  
◽  
Shigeki Kushimoto ◽  
Yasuharu Tokuda ◽  
Gary S. Phillips ◽  
...  

Abstract Background Time to antibiotic administration is a key element in sepsis care; however, it is difficult to implement sepsis care bundles. Additionally, sepsis is different from other emergent conditions including acute coronary syndrome, stroke, or trauma. We aimed to describe the association between time to antibiotic administration and outcomes in patients with severe sepsis and septic shock in Japan. Methods This prospective observational study enrolled 1184 adult patients diagnosed with severe sepsis based on the Sepsis-2 criteria and admitted to 59 intensive care units (ICUs) in Japan between January 1, 2016, and March 31, 2017, as the sepsis cohort of the Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis and Trauma (FORECAST) study. We compared the characteristics and in-hospital mortality of patients administered with antibiotics at varying durations after sepsis recognition, i.e., 0–60, 61–120, 121–180, 181–240, 241–360, and 361–1440 min, and estimated the impact of antibiotic timing on risk-adjusted in-hospital mortality using the generalized estimating equation model (GEE) with an exchangeable, within-group correlation matrix, with “hospital” as the grouping variable. Results Data from 1124 patients in 54 hospitals were used for analyses. Of these, 30.5% and 73.9% received antibiotics within 1 h and 3 h, respectively. Overall, the median time to antibiotic administration was 102 min [interquartile range (IQR), 55–189]. Compared with patients diagnosed in the emergency department [90 min (IQR, 48–164 min)], time to antibiotic administration was shortest in patients diagnosed in ICUs [60 min (39–180 min)] and longest in patients transferred from wards [120 min (62–226)]. Overall crude mortality was 23.4%, where patients in the 0–60 min group had the highest mortality (28.0%) and a risk-adjusted mortality rate [28.7% (95% CI 23.3–34.1%)], whereas those in the 61–120 min group had the lowest mortality (20.2%) and risk-adjusted mortality rates [21.6% (95% CI 16.5–26.6%)]. Differences in mortality were noted only between the 0–60 min and 61–120 min groups. Conclusions We could not find any association between earlier antibiotic administration and reduction in in-hospital mortality in patients with severe sepsis.


MedPharmRes ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 27-32
Author(s):  
Bien Le ◽  
Dai Huynh ◽  
Mai Tuan ◽  
Minh Phan ◽  
Thao Pham ◽  
...  

Objectives: to evaluate the fluid responsiveness according to fluid bolus triggers and their combination in severe sepsis and septic shock. Design: observational study. Patients and Methods: patients with severe sepsis and septic shock who already received fluid after rescue phase of resuscitation. Fluid bolus (FB) was prescribed upon perceived hypovolemic manifestations: low central venous pressure (CVP), low blood pressure, tachycardia, low urine output (UOP), hyperlactatemia. FB was performed by Ringer lactate 500 ml/30 min and responsiveness was defined by increasing in stroke volume (SV) ≥15%. Results: 84 patients were enrolled, among them 30 responded to FB (35.7%). Demographic and hemodynamic profile before fluid bolus were similar between responders and non-responders, except CVP was lower in responders (7.3 ± 3.4 mmHg vs 9.2 ± 3.6 mmHg) (p 0.018). Fluid response in low CVP, low blood pressure, tachycardia, low UOP, hyperlactatemia were 48.6%, 47.4%, 38.5%, 37.0%, 36.8% making the odd ratio (OR) of these triggers were 2.81 (1.09-7.27), 1.60 (0.54-4.78), 1.89 (0.58-6.18), 1.15 (0.41-3.27) and 1.27 (0.46-3.53) respectively. Although CVP < 8 mmHg had a higher response rate, the association was not consistent at lower cut-offs. The combination of these triggers appeared to raise fluid response but did not reach statistical significance: 26.7% (1 trigger), 31.0% (2 triggers), 35.7% (3 triggers), 55.6% (4 triggers), 100% (5 triggers). Conclusions: fluid responsiveness was low in optimization phase of resuscitation. No fluid bolus trigger was superior to the others in term of providing a higher responsiveness, their combination did not improve fluid responsiveness as well.


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