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Measuring driving pressure (defined by plateau pressure minus positive end-expiratory pressure) is a useful addition to existing variables when setting mechanical ventilation, particularly in the acute respiratory distress syndrome.

Abstract

Background

Balancing antimicrobial stewardship with sepsis management is a challenge. At our academic medical center, a “Code Sepsis” was implemented as a nursing driven initiative to improve early recognition and management of sepsis. Per protocol, Code Sepsis is activated in patients who meet two or more systemic inflammatory response syndrome (SIRS) criteria due to a suspected infection to allow for early implementation of the sepsis bundle, which includes laboratory testing, fluid resuscitation, and antibiotic administration (Figure 1). We analyzed the impact that Code Sepsis had on antimicrobial use among hospitalized patients over a six month period.

Methods

We reviewed the electronic medical records of hospitalized patients with Code Sepsis activation between January 1, 2018 and June 30, 2018 to determine whether antibiotics were “escalated” or “not escalated.” Among patients who had antibiotic escalation, escalation was classified as “indicated” or “not indicated” (Figure 2). A logistic regression model was used to identify characteristics, SIRS or organ dysfunction criteria predictive of indicated antimicrobial escalation.

Results

Code Sepsis was activated in 529 patients with antibiotics escalated in 247 (47%) and not escalated in 282 (53%) (Table 1). Among patients whose antibiotics were escalated, 64% (152) had an indication. In 36% (89), escalation was not indicated as Code Sepsis was due to a suspected noninfectious source, known infectious source already on appropriate antimicrobials, or a suspected infectious source in which diagnostic results had already shown the absence of the infection (Figure 2). Odds of indicated antibiotic escalation increased with the number of SIRS and organ dysfunction criteria (Table 2).

Conclusion

In our efforts to improve sepsis outcomes, we focused on early recognition (Code Sepsis) and intervention (sepsis bundle). However, our Code Sepsis inadvertently led to antibiotic overutilization. By refocusing Code Sepsis on early recognition of severe sepsis and septic shock, we hope to optimize resource utilization and improve patient outcomes.

Disclosures

All authors: No reported disclosures.

Abstract

There are reports of AA amyloidosis associated with intravenous and/or subcutaneous injection of street drugs, such as heroin and cocaine. Most reports describe patients with substance use disorder, renal amyloidosis and concurrent viral infections, such as hepatitis and/or human immunodeficiency virus. Herein, we present a case of systemic AA amyloidosis and sepsis in a 34-year-old woman with a history of intravenous injection of oral prescription medications (as evidenced by excipient lung disease) who had no known history of human immunodeficiency virus nor of hepatitis B or C. Our case shows the broader spectrum of pathology that can occur with the misuse of prescription medications.

Introduction

A nurse-triggered sepsis alert called "Code Sepsis" was implemented for early recognition and management of sepsis. The researchers analyzed its impact on antimicrobial use and identified factors associated with infection as source of Code Sepsis.

Methods

The medical records of hospitalized patients with Code Sepsis between January 1 and June 30, 2018, were reviewed. Patients were classified as "Infection" when probable or definitive infection was identified or "No Infection" when a probable or definitive noninfectious source was identified. Patients were categorized as "Escalation" with addition or change to broader-spectrum antimicrobials or "No Escalation" with no change or change to narrower-spectrum antimicrobials. Escalation was classified as "Indicated" with appropriate escalation or "Not Indicated" with inappropriate escalation. Logistic regression model was used to identify factors associated with Infection as Code Sepsis trigger.

Results

Code Sepsis was activated in 529 patients, with Escalation in 246 (46.5%) and No Escalation in 283 (53.5%) patients. Escalation was Indicated in 157 (63.8%) and Not Indicated in 89 (36.2%) patients. Infection was identified in 356 (67.3%) and No Infection in 173 (32.7%) patients. History of HIV (odds ratio [OR] = 2.75, p = 0.03), temperature > 38.3°C or < 36°C (OR = 2.63, p < 0.01), and respiratory rate > 20/minute (OR = 1.56, p = 0.02) were associated with Infection, while surgery within 3 days (OR = 0.30, p < 0.01) was associated with No Infection.

Conclusion

One hospital system's Code Sepsis inadvertently identified patients without infections and led to antimicrobial overuse. By refocusing Code Sepsis on early recognition of severe sepsis and septic shock only, the organization hopes to optimize resource utilization and improve patient outcomes.

Objective

Define the frequency and survival pattern of cardiac arrests in relation to the hospital day of event and etiology of arrest.

Subject and methods

Retrospective cohort study of adult in-hospital cardiac arrests between July 1, 2005, and June 30, 2013, that were classified by etiology of deterioration. Arrests were divided based on hospital day (HD) of event (HD1, HD2-7, HD>7 days), and analysis of frequency was performed. The primary outcome of survival to discharge and secondary outcomes of return of spontaneous circulation (ROSC) and favorable neurological outcomes were compared using multivariable logistic regression analysis.

Results

A total of 627 cases were included, 193 (30.8%) cases in group HD1, 206 (32.9%) in HD2-7, and 228 (36.4%) in HD>7. Etiology of arrest demonstrated variability across the groups (p<0.001). Arrests due to ventilation issues increased in frequency with longer hospitalization (p<0.001) while arrests due to dysrhythmia had the opposite trend (p=0.014). Rates of survival to discharge (p=0.038) and favorable neurological outcomes (p=0.002) were lower with increasing hospital days while ROSC was not different among the groups (p=0.183). Survival was highest for HD1 (HD1: 38.9% [95% CI, 32.0-45.7%], p=0.002 vs HD2-7: 34.0% [95% CI, 27.5-40.4%], p<0.001 vs HD>7: 27.2% [95% CI, 21.4-33.0%], p<0.001).

Conclusions

The etiology of cardiac arrests varies in frequency as length of hospitalization increases. Survival rates and favorable neurological outcomes are lower for in-hospital arrests occurring later in the hospitalization, even when adjusted for age, sex, and location of event. Understanding these issues may help with focusing therapies and accurate prognostication.

OBJECTIVES: Healthcare ransomware cyberattacks have been associated with major regional hospital disruptions, but data reporting patient-oriented outcomes in critical conditions such as cardiac arrest (CA) are limited. This study examined the CA incidence and outcomes of untargeted hospitals adjacent to a ransomware-infected healthcare delivery organization (HDO). DESIGN SETTING AND PATIENTS: This cohort study compared the CA incidence and outcomes of two untargeted academic hospitals adjacent to an HDO under a ransomware cyberattack during the pre-attack (April 3-30, 2021), attack (May 1-28, 2021), and post-attack (May 29, 2021-June 25, 2021) phases. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Emergency department and hospital mean daily census, number of CAs, mean daily CA incidence per 1,000 admissions, return of spontaneous circulation, survival to discharge, and survival with favorable neurologic outcome were measured. The study evaluated 78 total CAs: 44 out-of-hospital CAs (OHCAs) and 34 in-hospital CAs. The number of total CAs increased from the pre-attack to attack phase (21 vs. 38; p = 0.03), followed by a decrease in the post-attack phase (38 vs. 19; p = 0.01). The number of total CAs exceeded the cyberattack month forecast (May 2021: 41 observed vs. 27 forecasted cases; 95% CI, 17.0-37.4). OHCA cases also exceeded the forecast (May 2021: 24 observed vs. 12 forecasted cases; 95% CI, 6.0-18.8). Survival with favorable neurologic outcome rates for all CAs decreased, driven by increases in OHCA mortality: survival with favorable neurologic rates for OHCAs decreased from the pre-attack phase to attack phase (40.0% vs. 4.5%; p = 0.02) followed by an increase in the post-attack phase (4.5% vs. 41.2%; p = 0.01). CONCLUSIONS: Untargeted hospitals adjacent to ransomware-infected HDOs may see worse outcomes for patients suffering from OHCA. These findings highlight the critical need for cybersecurity disaster planning and resiliency.

Rationale

Neurocognitive outcome after out-of-hospital cardiac arrest (OHCA) is often poor, even when initial resuscitation succeeds. Lower tidal volumes (Vts) attenuate extrapulmonary organ injury in other disease states and are neuroprotective in preclinical models of critical illness.

Objective

To evaluate the association between Vt and neurocognitive outcome after OHCA.

Methods

We performed a propensity-adjusted analysis of a two-center retrospective cohort of patients experiencing OHCA who received mechanical ventilation for at least the first 48 hours of hospitalization. Vt was calculated as the time-weighted average over the first 48 hours, in milliliters per kilogram of predicted body weight (PBW). The primary endpoint was favorable neurocognitive outcome (cerebral performance category of 1 or 2) at discharge.

Measurements and main results

Of 256 included patients, 38% received time-weighted average Vt greater than 8 ml/kg PBW during the first 48 hours. Lower Vt was independently associated with favorable neurocognitive outcome in propensity-adjusted analysis (odds ratio, 1.61; 95% confidence interval [CI], 1.13-2.28 per 1-ml/kg PBW decrease in Vt; P = 0.008). This finding was robust to several sensitivity analyses. Lower Vt also was associated with more ventilator-free days (β = 1.78; 95% CI, 0.39-3.16 per 1-ml/kg PBW decrease; P = 0.012) and shock-free days (β = 1.31; 95% CI, 0.10-2.51; P = 0.034). Vt was not associated with hypercapnia (P = 1.00). Although the propensity score incorporated several biologically relevant covariates, only height, weight, and admitting hospital were independent predictors of Vt less than or equal to 8 ml/kg PBW.

Conclusions

Lower Vt after OHCA is independently associated with favorable neurocognitive outcome, more ventilator-free days, and more shock-free days. These findings suggest a role for low-Vt ventilation after cardiac arrest.