Hygrometric Performance of 113 Passive Humidifiers: ISO Standard Method Versus Psychrometry
Bibliographic record
Abstract
Background: Passive humidifiers, also known as heat-and-moisture exchangers (HMEs) are used to warm and humidify inspired gases delivered during mechanical ventilation. Recent data demonstrate that the evaluation and selection of these devices is not optimal, leading to severe complications, such as endotracheal tube occlusions. The aim of the study was to assess the humidification performances of a large number of commercially available devices, with the psychrometric method, and to compare the results with manufacturer’s data. Methods: We assessed 113 devices using a bench test that simulated physiological ventilation conditions. Seventy-one devices were described by the manufacturers as HME without or with filtration properties (HMEF) and 42 as antimicrobial filters. Among the 71 HME/HMEF, 60% were foam-based, 32% were paper-based, 6% were fiber-based, and 1 had carbon media (HMEF with inhaled sedation function). Three hygrometric measurements using the psychrometric method for each device were performed after reaching a steady state and compared with manufacturers’ data (based on the International Organization for Standardization [ISO] method). Results: Among the 71 HME/HMEF tested, only 24 (34%) delivered absolute humidity above 28 mg H 2 O/L. Nineteen percent of the foam-based and 57% of the paper-based HME/HMEF delivered desired levels of humidity. Humidification data provided by manufacturers were available for 59 HME/HMEFs. In all but one device, humidity output was overestimated using the ISO method. The median (interquartile) difference between our measurements and the manufacturers’ data were 6.0 (3.8–8.7) mg H 2 O/L for devices described as HMEs ( P < .001). Poor performing devices were detected only with the psychrometric method. Conclusions: Several HME/HMEFs performed poorly and should not be used for prolonged mechanical ventilation. The values determined by independent assessments were lower than values reported by manufacturers. Evaluation of a passive humidifier using the current ISO method does not guarantee provision of adequate humidification.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".