Bibliographic record
Abstract
How, and how long, should you preoxygenate your next patient before induction of anesthesia? This is a very difficult question. Respiratory physiology is complicated. If you think the answer is simple, you don’t understand the question. However, you make this complex decision for each patient and you probably do it multiple times every working day. Among the many factors that go into this decision are the following: How rapidly is this particular patient going to desaturate if there is a delay establishing ventilation? Is there likely to be difficulty with ventilation and/or intubation? What is the safe level of desaturation in this specific patient? The review article by Nimmagadda et al1 in this issue of Anesthesia & Analgesia helps the clinician to make this potentially very important decision about preoxygenation. For the majority of patients, the authors suggest that 3 minutes of normal tidal breathing Fio2 1.0 with a fresh gas flow that exceeds the resting minute ventilation (approximately 5 L/min) is adequate and reliable. Longer periods and forced deep breathing are unlikely to add a clinically useful extra reserve of oxygen in the patient’s lungs or blood. The authors elaborate on 4 specific clinical populations: pregnant women need a higher fresh gas flow (10 L); obese patients benefit significantly from a head-up position; pediatric patients only need 2 minutes of preoxygenation; and elderly patients may require 5 minutes. Nimmagadda et al finish the review by debunking several myths about the risks of preoxygenation: a diagnosis of accidental esophageal intubation is not more likely to be missed because of preoxygenation (does anyone actually believe this?); absorption atelectasis can be easily reversed by a routine recruitment maneuver at the start of ventilation; and there is no good evidence for the harmful effects of reactive oxygen species because of a transient high Fio2. However, there are several potentially negative aspects of complete preoxygenation that the authors do not discuss: applying a tight-fitting face mask for 2 minutes to a 2-year-old is likely to be stressful for the patient, his or her parents, and the anesthesiologist; and in some dire emergencies, such as a prolapsed cord, the time for full preoxygenation may not be possible without undue risk to the patient(s). Also, I do not know the optimal method of preoxygenation for a patient who has received bleomycin (I use Fio2 0.4 if I do not anticipate a problem with intubation, but I cannot offer any science to back up my practice).Table.: Proposed Benefits of High-Flow Nasal Oxygen2In the middle of the review article, in the section on technique, are (what I believe to be) the 2 key points: We can simply and routinely monitor the adequacy of our preoxygenation. If the end-tidal o2 concentration (Eto2) is ≥90%, the patient has been adequately preoxygenated. Induction can commence. Do you watch this number routinely? I confess I do not, but I plan to start, and I believe the next generation of anesthesiologists will monitor this faithfully. In critical situations, we can improve our preoxygenation with the use of high-flow nasal oxygen. This is a very interesting technique that is starting to move into the operating room from the intensive care unit, where it has been introduced as noninvasive ventilatory support for infants and now for adults. Humidified oxygen flows of up to 50–70 L/min provide not only a high Fio2 but also seem to decrease airway deadspace and to provide a level of continuous positive airway pressure CPAP (see Table).2 This concept has been given the unfortunate name of transnasal humidified rapid insufflation ventilator exchange, and the acronym THRIVE3 (which sounds like a geriatric dietary supplement). I think just calling it high-flow nasal o2 would suffice. I believe we are going to soon see this device used for oxygenation and ventilation support before and after extubation in chronic obstructive pulmonary disease, sleep apnea, obese patients, and others at risk of desaturation. This device is already well known among the difficult airway subgroup of anesthesiologists. It may become a game changer. DISCLOSURES Name: Peter D. Slinger, MD, FRCPC. Contribution: This author wrote the manuscript. This manuscript was handled by: Richard C. Prielipp, MD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".