Setup of a Dedicated Coronavirus Intensive Care Unit
Bibliographic record
Abstract
Northern Italy is facing a 2019 coronavirus disease (COVID-19) outbreak1,2; patients are mainly minimally symptomatic but may develop acute respiratory failure requiring admission to the intensive care unit (ICU).3 Logistics are fundamental for the safety of both healthcare professionals and ICU patients, and to limit the spread of this highly infective disease.Once alerted to the first coronavirus case requiring admission to ICU, a section of our unit was emptied and reorganized in 2 h (fig. 1). Access to the unit was limited to the minimal number of healthcare providers and mandatory through a double filter. A “clean filter” for donning is equipped with disposable personal protective equipment (gowns, filter face respirators, visors, hair covers, gloves, boot covers4), mirror, chairs, scrubs, waste management material, and hand disinfectants. A “contaminated filter” for doffing is equipped with waste management material, mirror, bathroom to wash before exiting, and hand disinfectants.For each patient, complete monitoring (blood pressure, oxygen saturation measured by pulse oximetry, end-tidal carbon dioxide, heart rate, respiratory rate, and temperature) is available and duplicated in the “control unit,” a clean area separated by a glass wall allowing direct visualization of the patients.A dedicated aspiration system connects the expiratory valve to wall gas aspiration; this system is also available for a helmet, which is preferred to masks for continuous positive airway pressure/noninvasive ventilation to limit the droplets’ spread.5A “laboratory section” includes a dedicated ultrasound machine (images are shared through a Picture Archiving and Communication System’s connection available in the unit); disposable fiberbronchoscopes and video-laryngoscopes (fiberbronchoscopy is limited to urgent indications, in order to limit airways opening); point-of-care arterial blood gas and coagulation analyses; transport ventilator; and emergency cart with defibrillator.The main door of the unit is opened only for the patient’s admittance and once per day for garbage evacuation, performed by fully protected professionals and followed by cleaning with sodium hypochlorite 0.1 to 0.5%.The communication between coronavirus and control units is fundamental both for clinical management and nursing; it is facilitated by an intercom and a dedicated smartphone. All the therapy is prepared outside the coronavirus unit in order to limit the time spent in it, which is physically demanding due to limited transpiration and rebreathing. All the consumable and products needed in the coronavirus unit are provided by nurses and physicians working in the control unit and dropped off in the contaminated filter, where nurses and physicians working inside the coronavirus unit can retrieve them.A similar smaller and separated structure (buffer zone) admits patients with suspected COVID-19 infection while waiting for results. If positive, the patient is admitted to the coronavirus unit; if negative, to the general intensive care unit.A dedicated gurney equipped with a StarMed Ventukit helmet (Intersurgical, Italy), two oxygen bottles, bag-mask, monitor, and emergency bag for intubation and chest drain positioning is available for emergency calls in the wards for positive/suspected patients; the intensivist mandatorily wears full protection equipment before leaving the unit.The same structure was then replicated to reach 41 dedicated intensive care unit beds in 2 weeks, for a total number of 55 COVID-19 patients admitted so far. We hope sharing such information may be of help to other intensive care units having to face similar issues.The authors acknowledge all the healthcare professionals involved in the management of such epidemics at San Matteo Hospital, in particular Alessandro Amatu, M.D. (Anesthesia and Intensive Care, San Matteo Hospital, Pavia, Italy), Federico Visconti, M.D. (Anesthesia and Intensive Care, San Matteo Hospital, Pavia, Italy), and Raffaella Arioli, B.S.N. (Anesthesia and Intensive Care, San Matteo Hospital, Pavia, Italy) for the active contribution to the setup of the unit in emergency situations.Support was provided solely from institutional and/or departmental sources.Dr. Mojoli received fees for lectures from GE Healthcare (Chicago, Illinois), Hamilton Medical (Bonaduz, Switzerland), and SEDA SpA (Milan, Italy). Dr. Mongodi received fees for lectures from GE Healthcare. Dr. Iotti received fees for lectures by Hamilton Medical, Eurosets (Medolla, Italy), Getinge (Gothenburg, Sweden), Intersurgical SpA (Modena, Italy), Burke & Burke SpA (Assago, Italy). A research agreement is active between the University of Pavia and Hamilton Medical. The other authors declare no competing interests.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".