In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.

A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.

We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.

The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.

A mass gathering medicine training program was established for a 7,200-seat arena. The objectives of this study were to describe the program schema and determine its impact in preparing novice emergency medical technicians (EMTs) to manage the difficulties of large-venue emergency medical services (EMS).

Optional, anonymous surveys were administered to EMTs. Novice EMTs were assessed pre-/post-program implementation, and both novice and experienced EMTs completed self-reported Likert scales. Data were analyzed with nonparametric methods.

A total of 43/56 responses (response rate = 76.8%) were received. Only 37.2% of providers felt prepared to work mass gatherings before the training, and 60.5% stated that their previous education did not prepare them for large-venue challenges. After the training program, novice EMTs were significantly associated with increased knowledge of large-venue EMS procedures (P = 0.0170), higher proficiency using extrication equipment (P = 0.0248), increased patient care skills (P = 0.0438), and both increased confidence working events (P = 0.0002) and better teamwork during patient encounters (P = 0.0001). The majority of EMTs reported the program as beneficial.

Upon hire, EMS providers felt unprepared to work large-venue EMS. The analyses demonstrated that this training program improved select large-venue emergency skills for prehospital providers and may fill a gap in the education system regarding mass gathering medicine.

To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures.

A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls).

A 509-bed tertiary-care university hospital.

Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link.

Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16).

These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

The aim of this study was to determine the involvement of emergency medicine physicians at academic medical centers across the United States as well as their background training, roles in the hospital, and compensation if applicable for time dedicated to preparedness.

A structured survey was delivered by means of email to 109 Chairs of Emergency Medicine across the United States at academic medical centers. Unique email links were provided to track response rate and entered into REDCap database. Descriptive statistics were obtained, including roles in emergency preparedness, training, and compensation.

Forty-four of the 109 participants responded, resulting in a response rate of 40.4%. The majority held an administrative role in emergency preparedness. Formal training for the position (participants could select more than 1) included various avenues of education such as emergency medical services fellowship or in-person or online courses. Of the participants, most (93.18%) strongly agreed that it was important to have a physician with expertise in disaster medicine assisting with preparedness.

The majority of responding academic medical center participants have taken an active role in hospital emergency preparedness. Education for the roles varied though, often consisted of courses from emergency management agencies. Volunteering their time for compensation was noted by 27.5%.

Hospitals are meant to be places for respite and healing; however, technological advances and reliance on monitoring alarms has led to the environment becoming increasingly noisy. The coronary care unit (CCU), like the emergency department, provides care to ill patients while being vulnerable to noise pollution. The World Health Organization (WHO; Geneva, Switzerland) recommends that for optimum rest and healing, sound levels should average approximately 30 decibels (dB) with maximum readings less than 40 dB.

The purpose of this study was to measure and analyze sound levels in three different locations in the CCU, and to review alarm reports in relation to sound levels.

Over a one-month period, sound recorders (Extech SDL600; Extech Instruments; Nashua, New Hampshire USA) were placed in three separate locations in the CCU at the West Roxbury Veterans’ Administration (VA) Hospital (Roxbury, Massachusetts USA). Sound samples were recorded once per second, stored in Comma Separated Values format for Excel (Microsoft Corporation; Redmond, Washington USA), and then exported to Microsoft Excel. Averages were determined, plotted per hour, and alarm histories were reviewed to determine alarm noise effect on total noise for each location, as well as common alarm occurrences.

Patient Room 1 consistently had the lowest average recordings, though all averages were >40 dB, despite decreases between 10:00 pm and 7:00 am. During daytime hours, recordings maintained levels >50 dB. Overnight noise remained above recommended levels 55.25% of the period in Patient Room 1 and 99.61% of the same time period in Patient Room 7. The nurses’ station remained the loudest location of all three. Alarms per hour ranged from 20-26 during the day. Alarms per day averaged: Patient Room 1-57.17, Patient Room 7-122.03, and the nurses’ station - 562.26. Oxygen saturation alarms accounted for 33.59% of activity, and heart-related (including ST segment and pacemaker) accounted for 49.24% of alarms.

The CCU cares for ill patients requiring constant monitoring. Despite advances in technology, measured noise levels for the hospital studied exceeded WHO standards of 40 dB and peaks of 45 dB, even during night hours when patients require rest. Further work is required to reduce noise levels and examine effects on patient satisfaction, clinical outcomes, and length of stay.

RyanKM , GagnonM , HannaT , MelloB , FofanaM , CiottoneG , MolloyM . Noise Pollution: Do We Need a Solution? An Analysis of Noise in a Cardiac Care Unit. Prehosp Disaster Med. 2016;31(4):432–435.