Arteaga, Grace M.

OBJECTIVES: With increasing complexity of critical care medicine comes an increasing need for multidisciplinary involvement in care. In many institutions, pharmacists are an integral part of this team, but long-term data on the interventions performed by pharmacists and their effects on patient care and outcomes are limited. We aimed to describe the role of pediatric clinical pharmacists in pediatric intensive care unit (PICU) practice. METHODS: We retrospectively reviewed the records of pharmacy interventions in the PICU at the Mayo Clinic in Rochester, Minnesota, from 2003-2013, with a distinct period of increased pharmacist presence in the PICU from 2008 onward. We compared demographic and outcome data on patients who did and who did not have pharmacy interventions during 2 periods (2003–2007 and 2008–2013). RESULTS: We identified 27,773 total interventions by pharmacists during the 11-year period, of which 79.8% were accepted by the clinical team. These interventions were made on 10,963 unique PICU admissions and prevented 5867 order entry errors. Pharmacists' interventions increased year over year, including a significant change in 2008. Patients who required pharmacy involvement were younger, sicker, and had longer intensive care unit, hospital, and ventilator duration. Average central line infections and central line entry rates decreased significantly over the study period. CONCLUSIONS: Increased pharmacist presence in the PICU is associated with increased interventions and prevention of adverse drug events. Pharmacist participation during rounds and order entry substantially improved the care of critically sick children and should be encouraged.

AbstractBackgroundThe electronic health record (EHR) is a contributor to serious patient harm occurring within a sociotechnical system. Chemotherapy ordering is a high‐risk task due to the complex nature of ordering workflows and potential detrimental effects if wrong chemotherapeutic doses are administered. Many chemotherapy ordering errors cannot be mitigated through systems‐based changes due to the limited extent to which individual institutions are able to customize proprietary EHR software. We hypothesized that simulation‐based training could improve providers’ ability to identify and mitigate common chemotherapy ordering errors.MethodsPediatric hematology/oncology providers voluntarily participated in simulations using an EHR testing (“Playground”) environment. The number of safety risks identified and mitigated by each provider at baseline was recorded. Risks were reviewed one‐on‐one after initial simulations and at a group “lunch‐and‐learn” session. At three‐month follow‐up, repeat simulations assessed for improvements in error identification and mitigation, and providers were surveyed about prevention of real‐life safety events.ResultsThe 8 participating providers identified and mitigated an average of 5.5 out of 10 safety risks during the initial simulation, compared 7.4 safety risks at the follow up simulation (p=0.030). Two of the providers (25%) reported preventing at least one real‐world patient safety event in the clinical setting as a result of the initial training session.ConclusionsSimulation‐based training may reduce providers’ susceptibility to chemotherapy ordering safety vulnerabilities within the EHR. This approach may be used when systems‐based EHR improvements are not feasible due to limited ability to customize local instances of proprietary EHR software.

ABSTRACT Background Implementation of checklists has been shown to be effective in improving patient safety. This study aims to evaluate the effectiveness of implementation of a checklist for daily care processes into clinical practice of pediatric intensive care units (PICUs) with limited resources. Methods Prospective before–after study in eight PICUs from China, Congo, Croatia, Fiji, and India after implementation of a daily checklist into the ICU rounds. Results Seven hundred and thirty-five patients from eight centers were enrolled between 2015 and 2017. Baseline stage had 292 patients and post-implementation 443. The ICU length of stay post-implementation decreased significantly [9.4 (4–15.5) vs. 7.3 (3.4–13.4) days, p = 0.01], with a nominal improvement in the hospital length of stay [15.4 (8.4–25) vs. 12.6 (7.5–24.4) days, p = 0.055]. The hospital mortality and ICU mortality between baseline group and post-implementation group did not show a significant difference, 14.4% vs. 11.3%; p = 0.22 for each. There was a variable impact of checklist implementation on adherence to various processes of care recommendations. A decreased exposure in days was noticed for; mechanical ventilation from 42.6% to 33.8%, p < 0.01; central line from 31.3% to 25.3%, p < 0.01; and urinary catheter from 30.6% to 24.4%, p < 0.01. Although there was an increased utilization of antimicrobials (89.9–93.2%, p < 0.01). Conclusions Checklists for the treatment of acute illness and injury in the PICU setting marginally impacted the outcome and processes of care. The intervention led to increasing adherence with guidelines in multiple ICU processes and led to decreased length of stay.

BACKGROUND: ARDS remains a source of significant morbidity and mortality in the critically ill patient. The mainstay of therapy entails invasive mechanical ventilation utilizing a lung-protective strategy designed to limit lung injury associated with excessive stress and strain while the underlying etiology of respiratory failure is identified and treated. Less is understood about what to do once conventional ventilation parameters have been optimized but the patient's respiratory status remains unchanged or worsens. In 2015, a protocolized, stepwise approach to mechanical ventilation with partially automated and clearly defined thresholds for management changes was implemented at our institution. We hypothesized that, by identifying appropriate patients earlier, time-to-escalation and rescue therapy implementation would be shortened. METHODS: Subjects with severe ARDS, treated with prone positioning based on our institution's protocolized approach from December 2013 to August 2016 were included. Their baseline characteristics, severity of illness scores, and mechanical ventilation parameters were collected and analyzed. RESULTS: Baseline characteristics, tidal volumes, P aO 2 / F IO 2 , duration of ventilation after proning, and mortality were similar in both groups. Median (interquartile range [IQR]) PEEP at the time of proning was higher after the protocol implementation (12.5 cm H 2 O [IQR 6.5–19.4] vs 18 cm H 2 O [IQR 10–22], P = .386), and mean (IQR) respiratory system driving pressure was lower (16 cm H 2 O [IQR 13–36.2] vs 12 cm H 2 O [IQR 9–19.6], P = .029). Median (IQR) time from refractory hypoxemia identification to proning was shorter after protocol implementation (42.2 h [IQR 6.83–347.2] vs 16.3 h [IQR 1–99.7], I = .02), and P aO 2 / F IO 2 at 1 h after proning was higher. ICU and hospital LOS were shorter after the protocol implementation. CONCLUSIONS: Following the implementation of an early, evidence-based, protocolized approach to optimizing mechanical ventilation, subjects with true refractory hypoxemia were identified earlier and time to proning was significantly shorter. Despite improvement in the evaluation and management of refractory hypoxemia as well as time to initiation of prone positioning, mortality was unchanged and there was variation in the duration of the position.

Rewarming the intact heart after a period of hypothermia is associated with reduced myocardial contractility, decreased Ca2+ sensitivity, and increased cardiac troponin-I (cTnI) phosphorylation. We hypothesized that hypothermia/rewarming (H/R) induces left ventricular (LV) contractile dysfunction due to phosphorylation of cTnI at Ser23/24. To test this hypothesis, the response of wild-type mice ( n = 7) to H/R was compared with transgenic (TG) mice expressing slow skeletal TnI (TG-ssTnI; n = 7) that lacks the Ser23/24 phosphorylation sites. Hypothermia was induced by surface cooling and maintained at 23–25°C for 3 h. Subsequently, the animals were rewarmed to 37°C. LV systolic and diastolic function was assessed using a 1.4 F pressure-volume Millar catheter introduced via the right carotid artery. At baseline conditions, there were no significant differences in LV systolic function between wild-type and TG-ssTnI mice, whereas measurements of diastolic function [isovolumic relaxation constant (τ) and end-diastolic pressure-volume relationship (EDPVR)] were significantly ( P < 0.05) reduced in TG-ssTnI animals. Immediately after rewarming, significant differences between groups were found in cardiac output (CO; wild-type 6.6 ± 0.7 vs. TG-ssTnI 8.8 ± 0.7 mL/min), stroke work (SW; wild-type 796 ± 112 vs. TG-ssTnI 1208 ± 67 mmHg/μL), and the preload recruited stroke work (PRSW; wild-type 38.3 ± 4.9 vs. TG-ssTnI 68.8 ± 8.2 mmHg). However, EDPVR and τ returned to control levels within 1 h in both groups. We conclude that H/R-induced LV systolic dysfunction results from phosphorylation of cTnI at Ser23/24. NEW & NOTEWORTHY Rewarming following a period of accidental hypothermia leads to a form of acute cardiac failure (rewarming shock), which is in part due to reduced sensitivity to Ca2+ activation of myocardial contraction. The results of the present study support the hypothesis that rewarming shock is due to phosphorylation of cardiac troponin I.

Selective serotonin reuptake inhibitors are a commonly used and often effective class of medications in the treatment of mood disorders such as anxiety and depression. Sertraline (1S,4S-N-methyl-4-[3,4-dichlorophenyl]-1,2,3,4-tetrahydro-1-naphthylamine [Zoloft; Pfizer, New York City, NY]) is a frequently used selective serotonin reuptake inhibitor that has shown efficacy in children, adolescents, and adults. We report the case of a 13-year-old boy with sertraline-induced rhabdomyolysis and renal failure, trismus, and cardiopulmonary arrest. Pharmacogenetic testing later revealed our patient had serotonin transporter polymorphisms and enzymatic alterations that put him at risk for increased levels of sertraline and greater likelihood for untoward side effects.

AbstractObjectivesParamedics and emergency medical technicians (EMTs) perform triage at disaster sites. There is a need for disaster triage training. Live simulation training is costly and difficult to deliver. Screen‐based simulations may overcome these training barriers. We hypothesized that a screen‐based simulation, 60 Seconds to Survival (60S), would be associated with in‐game improvements in triage accuracy.MethodsThis was a prospective cohort study of a screen‐based simulation intervention, 60S. Participants included emergency medical services (EMS) personnel from 21 EMS agencies across 12 states. Participants performed assessments (e.g., check for pulse) and actions (e.g., reposition the airway) for 12 patients in each scenario and assigned color‐coded triage levels (red, yellow, green, or black) to each patient. Participants received on‐screen feedback about triage performance immediately after each scenario. A scoring system was designed to encourage accurate and timely triage decisions. Participants who played 60S included practicing EMTs, paramedics, and nurses as well as students studying to assume these roles. Participants played the game at least three times over 13 weeks.ResultsIn total, 2,234 participants began game play and 739 completed the study and were included in the analysis. Overall, the median number of plays of the game was just above the threshold inclusion criteria (three or more plays) with a median of four plays during the study period (interquartile range [IQR] = 3–7). There was a significant difference in triage accuracy from the first play of the game to the last play of the game. Median baseline triage accuracy in the game was 89.7% (IQR = 82.1%–94.9%), which then increased to a median of 100% at the last game play (IQR = 87.5%–100.0%; p < 0.001). There was some variability in median triage accuracy on fourth through 11th game plays, ranging from 95% to 100%, and on the 12th to 16th plays, the median accuracy was sustained at 100%. There was a significant decrease in the rate of undertriage: from 10.3% (IQR = 5.1%–18.0%) to 0 (IQR = 0%–12.5%; p < 0.001).Conclusion60 Seconds to Survival is associated with improved in‐game triage accuracy. Further study of the correlation between in‐game triage accuracy and improvements in live simulation or real‐world triage decisions is warranted.