Use of Prophylactic High-Dose Statin Therapy to Reduce Contrast-Induced Acute Kidney Injury in Adults Undergoing Acute Coronary Angiography: Evaluation of a Practice Change.

BACKGROUND: Development of contrast-induced acute kidney injury (CI-AKI) is associated with increased morbidity, mortality, hospital length of stay, and overall health care costs. OBJECTIVES: The purpose of this project was to evaluate a clinical practice change-the addition of high-dose statin therapy to standard renal protection measures-in adults undergoing acute cardiac catheterization procedures and assessing its effect on CI-AKI. METHOD: The evaluation was a pretest/posttest descriptive design. Adult patients undergoing acute cardiac catheterization procedures were evaluated for the rate of CI-AKI before (10 months preimplementation, N = 283) and after (10 months postimplementation, N = 286) a recent practice change that added high-dose statin therapy (within 24 hours of dye exposure) to a standard renal protection bundle (intravenous fluids, maximum dye calculations, and avoidance of nephrotoxic medications). Outcomes included the rate of CI-AKI, stage of acute kidney injury, need for new hemodialysis, discharge disposition (alive or died in the hospital), and hospital length of stay. RESULTS: Patients in the postintervention group that received renal protection bundle with high-dose statin had significantly lower incidence of CI-AKI (10.1% pre vs 3.2% post; P < .001). There were no significant differences in hospital length of stay, need for new hemodialysis, or mortality. Administration of high-dose statin within 24 hours of the cardiac catheterization procedure improved significantly (19.4% pre vs 74.1% post; P < .001). Adherence to all 5 components of the renal bundle improved post intervention (17% pre vs 73.4% post; P < .001). DISCUSSION: The addition of a high-dose statin in addition to existing renal protective measures in patients with acute cardiac procedures is associated with a decreased incidence of CI-AKI.

Improving Compliance With Protocol-Driven Care in Adult Traumatic Brain Injury Patients by Implementing an Electronic Clinical Compliance Monitoring Tool.

Traumatic brain injury (TBI) remains a major cause of death and disability each year in the United States. Implementation of preestablished evidence-based guidelines has been associated with a decrease in overall TBI mortality and disability. OBJECTIVES: An electronic clinical monitoring tool was developed for monitoring compliance with evidence-based TBI treatment protocols to improve the overall care and outcomes in this patient population. METHODS: This project was designed as a process improvement project. For the preimplementation cohort of TBI patients, aggregate compliance data (by patient) were obtained from the Brain Trauma Foundation Trial patient registry maintained at Conemaugh Memorial Medical Center for the time between 2011 and 2012. The postimplementation cohort includes all patients older than 18 years who have sustained a TBI requiring clinical monitoring devices. RESULTS: There was a statistical significance between groups; the TBI-2017 group demonstrated better compliance with anticonvulsant use and cerebral perfusion pressure maintenance. In addition, overall compliance was better in the TBI-2017 cohort compared with the TBI-2012 cohort. CONCLUSIONS: Traumatic brain injury-specific education and frequent assessments improved compliance between TBI-2012 and TBI-2017, resulting in a higher percentage in overall survivors in the latter group.

Implementation of pulmonary ultrasound training for critical care advanced practice providers.

BACKGROUND AND PURPOSE: The use of pulmonary ultrasound (US) in the critical care setting has been increasing over the past 2 decades. The use of advanced practice providers (APPs) in the critical care setting is also increasing. Limited data exist regarding the clinical and educational impact of a formal pulmonary US training course for APPs working in critical care settings. METHODS: A preimplementation and postimplementation comparative design focused on the development and implementation of a formal pulmonary US course for novice critical care APPs. CONCLUSIONS: Eleven APPs underwent formal pulmonary US training. There was a significant increase in pulmonary US knowledge after the course, with pretest median of 13 and posttest median of 22 (p < .001; maximum score = 23). Presurvey and postsurvey comparison showed overall increase in skill and clinical use of pulmonary US. After the course, participating APPs reported a greater frequency of clinical decision-making based on US examination as measured by presurvey and postsurvey results. IMPLICATIONS FOR PRACTICE: Implementation of a formal pulmonary US course for critical care APPs improved pulmonary US knowledge, skill, and utilization, and impacted clinical decision-making and should be a highly recommended addition to the practice setting.

Sepsis Education Initiative Targeting qSOFA Screening for Non-ICU Patients to Improve Sepsis Recognition and Time to Treatment.

BACKGROUND: The quick-Sequential Organ Failure Assessment (qSOFA) criteria are recommended for identifying non-intensive care unit (ICU) patients at risk for sepsis but are underutilized. LOCAL PROBLEM: We hypothesized that education on recognizing sepsis using qSOFA criteria and empowering nurses to trigger rapid response team (RRT) calls based on positive qSOFA scores would reduce time to recognition and time to intervention and improve treatment compliance in non-ICU patients. METHODS: The methods involved a descriptive retrospective review of 60 sepsis patients (30 pre- and 30 posteducation) to determine sepsis recognition time (qSOFA-to-RRT); time-to-sepsis interventions (reported as median [interquartile range] hours); and percent compliance with interventions. INTERVENTIONS: We provided qSOFA and sepsis education to more than 1000 nurses, physicians, and advanced practice providers in a large tertiary hospital. RESULTS: Posteducation, time to recognition (qSOFA-to-RRT) improved from 11.8 hours (3.4, 34.3) pre to 1.7 (0, 11.7) post (P = .005). Time from qSOFA to antibiotics improved from 1.4 hours (2.4, 6.2) pre to -4.7 (-25.4, 1.8) hours post (P < .01). Using qSOFA, compliance improved for antibiotics from 60% pre to 87% post (P = .02).

Preparation and Evolving Role of the Acute Care Nurse Practitioner.

Acute care nurse practitioners (ACNPs) are increasingly being employed as members of critical care teams, an outcome driven by increasing demand for intensive care services, a mandated reduction in house officer hours, and evidence supporting the ability of ACNPs to provide high-quality care as collaborative members of critical care teams. Integration of adult ACNPs into critical care teams is most likely to be successful when practitioners have appropriate training, supervision, and mentoring to facilitate their ability to practice efficiently and effectively. Accomplishing this goal requires understanding the educational preparation and skill set potential hires bring to the position as well as the development of an orientation program designed to integrate the practitioner into the critical care team. Pediatric ACNPs are also commonly employed in critical care settings; however, this commentary focuses on the adult ACNP role.

Impact of a Modified Early Warning Score on Rapid Response and Cardiopulmonary Arrest Calls in Telemetry and Medical-Surgical Units.

To reduce the number of cardiac arrests in telemetry and medical- surgical units, a 70-bed community hospital integrated a weighted, aggregate, electronic modified early warning score into the elec- tronic medical record. Impact was evaluated via a quality improvement initiative.

Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.

OBJECTIVE: The use of machine-learning algorithms to classify alerts as real or artifacts in online noninvasive vital sign data streams to reduce alarm fatigue and missed true instability. DESIGN: Observational cohort study. SETTING: Twenty-four-bed trauma step-down unit. PATIENTS: Two thousand one hundred fifty-three patients. INTERVENTION: Noninvasive vital sign monitoring data (heart rate, respiratory rate, peripheral oximetry) recorded on all admissions at 1/20 Hz, and noninvasive blood pressure less frequently, and partitioned data into training/validation (294 admissions; 22,980 monitoring hours) and test sets (2,057 admissions; 156,177 monitoring hours). Alerts were vital sign deviations beyond stability thresholds. A four-member expert committee annotated a subset of alerts (576 in training/validation set, 397 in test set) as real or artifact selected by active learning, upon which we trained machine-learning algorithms. The best model was evaluated on test set alerts to enact online alert classification over time. MEASUREMENTS AND MAIN RESULTS: The Random Forest model discriminated between real and artifact as the alerts evolved online in the test set with area under the curve performance of 0.79 (95% CI, 0.67-0.93) for peripheral oximetry at the instant the vital sign first crossed threshold and increased to 0.87 (95% CI, 0.71-0.95) at 3 minutes into the alerting period. Blood pressure area under the curve started at 0.77 (95% CI, 0.64-0.95) and increased to 0.87 (95% CI, 0.71-0.98), whereas respiratory rate area under the curve started at 0.85 (95% CI, 0.77-0.95) and increased to 0.97 (95% CI, 0.94-1.00). Heart rate alerts were too few for model development. CONCLUSIONS: Machine-learning models can discern clinically relevant peripheral oximetry, blood pressure, and respiratory rate alerts from artifacts in an online monitoring dataset (area under the curve > 0.87).

Discharge outcome in adults treated with extracorporeal membrane oxygenation.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is used for critically ill patients when conventional treatments for cardiac or respiratory failure are unsuccessful. OBJECTIVES: To describe patient and treatment characteristics and discharge outcome for ECMO patients, determine which characteristics are associated with good (survival) versus poor (death before hospital discharge) outcomes, and compare characteristics of patients with cardiac versus respiratory failure indicating ECMO. METHODS: Single-center, retrospective review of all adult patients treated with ECMO from 2005 through 2009. RESULTS: A total of 212 patients received ECMO for cardiac (n = 126) or respiratory (n = 86) failure. Mean age was 51 (SD, 14.5) years; support duration was 135 (SD, 149) hours. Survival to discharge was 33% overall; 50% for respiratory indication and 21% for cardiac indication patients. Patients with poor outcomes were older (53 vs 47 years, P = .007), more likely to require cardiovascular support before ECMO (99% vs 91%; P = .02), and had more transfusions (48 vs 24 units, P = .005) and complications (99% vs 87%; P < .001) than did patients with good outcomes. For cardiac patients, older age was associated with poor outcome (poor, 55 vs good, 48 years; P = .01). For respiratory patients, poor outcome was associated with more ventilator days before ECMO (poor, 6 vs good, 3; P = .01), higher peak inspiratory pressure (poor, 39 vs good, 35 cm H2O; P = .02), and lower pulmonary compliance (poor, 19 vs good, 25 mL/cm H2O; P = .008). CONCLUSIONS: Patients with respiratory indications for ECMO experienced better survival than did cardiac patients. Increasing age was associated with poor outcome. Complications, regardless of ECMO indication, were common and associated with poor outcome.

Lung transplant.

The ICU period is only one time point among many in the complex, multidisciplinary postoperative management required for patient survival and improved QOL. The care required on step-down units and after discharge to home each has unique care aspects that impact successful patient outcomes.