Implementation of a Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: the Optimizing Antibiotic Strategies in Sepsis (OASIS) II Study.

2018

2018 Nov 22

2048-7207

<p><strong>Background: </strong>Biomarkers can facilitate safe antibiotic discontinuation in critically ill patients without bacterial infection.</p>

<p><strong>Methods: </strong>We tested the ability of a biomarker-based algorithm to reduce excess antibiotic administration in patients with systemic inflammatory response syndrome (SIRS) without bacterial infections (uninfected) in our pediatric intensive care unit (PICU). The algorithm suggested that PICU clinicians stop antibiotics if (1) C-reactive protein &lt;4 mg/dL and procalcitonin &lt;1 ng/mL at SIRS onset and (2) no evidence of bacterial infection by exam/testing by 48 hours. We evaluated excess broad-spectrum antibiotic use, defined as administration on days 3-9 after SIRS onset in uninfected children. Incidence rate ratios (IRRs) compared unadjusted excess length of therapy (LOT) in the 34 months before (Period 1) and 12 months after (Period 2) implementation of this algorithm, stratified by biomarker values. Segmented linear regression evaluated excess LOT among all uninfected episodes over time and between the periods.</p>

<p><strong>Results: </strong>We identified 457 eligible SIRS episodes without bacterial infection, 333 in Period 1 and 124 in Period 2. When both biomarkers were below the algorithm's cut-points (n = 48 Period 1, n = 31 Period 2), unadjusted excess LOT was lower in Period 2 (IRR, 0.53; 95% confidence interval, 0.30-0.93). Among all 457 uninfected episodes, there were no significant differences in LOT (coefficient 0.9, P = .99) between the periods on segmented regression.</p>

<p><strong>Conclusions: </strong>Implementation of a biomarker-based algorithm did not decrease overall antibiotic exposure among all uninfected patients in our PICU, although exposures were reduced in the subset of SIRS episodes where biomarkers were low.</p>

10.1093/jpids/piy113

J Pediatric Infect Dis Soc

30476186

Pediatric continuity care intensivist: A randomized controlled trial.

2018

2018 Nov 20

1559-2030

<p><strong>INTRODUCTION: </strong>Long-stay critically ill patients in the Pediatric Intensive Care Unit (PICU) may be at risk for inconsistencies in treatment plan, delay in plan progression, and patient/family dissatisfaction with communication. This article describes the development and evaluation of an intervention designed to improve continuity and communication delivered by continuity PICU attendings.</p>

<p><strong>METHODS AND ANALYSIS: </strong>A randomized controlled trial of an intervention in one PICU that was randomized at the patient level. Eligible patients and their parents included those admitted to the PICU for longer than one week and were anticipated to remain for an additional 7 days. The intervention, a Continuity Care Intensivist (CCI), included early assignment of a continuity attending (separate from a regularly scheduled service attending), standardization of the continuity role to ensure consistent team and family contact and facilitate timely decision making, and enhancement of CCI communication skills. The outcomes evaluated were 1) patient PICU length of stay, ventilator-dependent days, and hospital acquired infections, 2) parental mood and satisfaction with PICU communication, and 3) intensivist perception of acceptability of intervention. Intention to treat analysis will be completed using multivariable linear regression to determine the impact of the intervention on outcomes. Lessons have been learned about the appropriate enrollment criteria for patients to allow for impact of continuity attending, frequent prognostic uncertainty in determining which patients will become longer stay in the PICU, and the difficulty of achieving timely initial contact of continuity attending with patients given the CCI's other commitments.</p>

10.1016/j.cct.2018.11.011

Contemp Clin Trials

30468772

Beyond Reporting Early Warning Score Sensitivity: The Temporal Relationship and Clinical Relevance of "True Positive" Alerts that Precede Critical Deterioration.

2019

138-143

2019 Mar

1553-5606

BACKGROUND: Clinical deterioration is difficult to detect in hospitalized children. The pediatric Rothman Index (pRI) is an early warning score that incorporates vital signs, laboratory studies, and nursing assessments to generate deterioration alerts.

OBJECTIVES: (1) Evaluate the timing of pRI alerts and clinicians recognizing deterioration or escalating care prior to critical deterioration events (CDEs) and (2) determine whether the parameters triggering alerts were clinically related to deterioration.

DESIGN: CDEs are unplanned transfers to the intensive care unit with noninvasive ventilation, tracheal intubation, and/or vasopressor infusion in the 12 hours after transfer. Using one year of data from a large freestanding children's hospital without the pRI, we analyzed CDEs that would have been preceded by pRI alerts. We (1) compared the timing of pRI alerts to time-stamped notes describing changes in patient status and orders reflecting escalations of care and (2) identified score component(s) that caused alerts to trigger and determined whether these were clinically related to CDE etiology.

RESULTS: Fifty CDEs would have triggered pRI alerts if the pRI had been in use (sensitivity 68%). In 90% of CDEs, the first clinician note reflecting change in patient status and/or the first order reflecting escalation of care preceded the first pRI alert. All of the vital sign and laboratory components of the pRI and 51% of the nursing components were clinically related to the etiology of the CDE.

CONCLUSIONS: Evidence that clinicians were aware of deterioration preceded pRI alerts in most CDEs that generated alerts in the preceding 24 hours.

10.12788/jhm.3066

J Hosp Med

30811318

Beyond Reporting Early Warning Score Sensitivity: The Temporal Relationship and Clinical Relevance of "True Positive" Alerts That Precede Critical Deterioration.

2018

E1-E6

2018 08 29

1553-5606

BACKGROUND: Clinical deterioration is difficult to detect in hospitalized children. The pediatric Rothman Index (pRI) is an early warning score that incorporates vital signs, laboratory studies, and nursing assessments to generate deterioration alerts.

OBJECTIVE: (1) Evaluate the timing of pRI alerts and clinicians recognizing deterioration or escalating care prior to critical deterioration events (CDEs) and (2) determine whether the parameters triggering alerts were clinically related to deterioration.

DESIGN: CDEs are unplanned transfers to the intensive care unit with noninvasive ventilation, tracheal intubation, and/or vasopressor infusion in the 12 hours after transfer. Using one year of data from a large freestanding children's hospital without the pRI, we analyzed CDEs that would have been preceded by pRI alerts. We (1) compared the timing of pRI alerts to time-stamped notes describing changes in patient status and orders reflecting escalations of care and (2) identified score component(s) that caused alerts to trigger and determined whether these were clinically related to CDE etiology.

RESULTS: Fifty CDEs would have triggered pRI alerts if the pRI had been in use (sensitivity 68%). In 90% of CDEs, the first clinician note reflecting change in patient status and/or the first order reflecting escalation of care preceded the first pRI alert. All of the vital sign and laboratory components of the pRI and 51% of the nursing components were clinically related to the etiology of the CDE.

CONCLUSIONS: Evidence that clinicians were aware of deterioration preceded pRI alerts in most CDEs that generated alerts in the preceding 24 hours.

10.12788/jhm.3066

J Hosp Med

30156583

Effect of the Procalcitonin Assay on Antibiotic Use in Critically Ill Children.

2018

e430e46

2018 May 15

2048-7207

<p>We retrospectively studied the effect of introducing procalcitonin into clinical practice on antibiotic use within a large academic pediatric intensive care unit. In the absence of a standardized algorithm, availability of the procalcitonin assay did not reduce the frequency of antibiotic initiations or the continuation of antibiotics for greater than 72 hours.</p>

10.1093/jpids/piy004

J Pediatric Infect Dis Soc

29529219

A Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: The Optimizing Antibiotic Strategies in Sepsis (OASIS) Study.

2016

2016 May 4

2048-7207

<p><strong>BACKGROUND: </strong>Biomarkers that identify critically ill children with systemic inflammatory response syndrome (SIRS) at low risk for bacterial infection may help clinicians reduce unnecessary antibiotic use.</p>

<p><strong>METHODS: </strong>We conducted a prospective cohort study of children with SIRS and suspected infection admitted to a pediatric intensive care unit from January 5, 2012 to March 7, 2014. We enrolled patients upon initiation of new antibiotics (Time 0) and measured a panel of 8 serum biomarkers daily over 72 hours. Microbiology, imaging, and clinical data were reviewed to classify bacterial infections using Centers for Disease Control and Prevention definitions. We identified cut points of biomarker combinations to maximize the negative predictive value (NPV) and specificity for bacterial infection. Excess antibiotics were calculated as days of therapy beyond day 2 after SIRS onset in patients without bacterial infection.</p>

<p><strong>RESULTS: </strong>Infections were identified in 46 of 85 patients: bacterial (n = 22) and viral (24), whereas 39 patients had no infection identified. At Time 0, C-reactive protein (CRP) &lt;5 mg/dL plus serum amyloid A &lt;15.0 µg/mL had an NPV of 0.92 (95% confidence interval [CI], 0.79-1.0) and specificity of 0.54 (95% CI, 0.42-0.66) to identify patients without bacterial infection, whereas CRP &lt;4 mg/dL plus procalcitonin &lt;1.75 ng/mL had an NPV of 0.90 (95% CI, 0.79-1.0) and specificity of 0.43 (95% CI, 0.30-0.55). Patients without bacterial infection received a mean of 3.8 excess days of therapy.</p>

<p><strong>CONCLUSIONS: </strong>Early measurement of select biomarkers can identify children with SIRS in whom antibiotics might be safely discontinued when there is no other objective evidence of infection at 48 hours.</p>

10.1093/jpids/piw023

J Pediatric Infect Dis Soc

27147715