Oxyg'App vs Auto
Price, ratings, monetisation and update history for both apps, side by side β with what reviewers say about each.
Oxyg'App
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Oxygen management should rely on oxygenation targets, with minimal and maximal boundaries to avoid both hypoxemia and hyperoxemia. Oxygen titration using targets based on arterial saturation (SaO2) are not feasible due to discontinuous measurements of this parameter that requires an arterial blood gas analysis. The oxygen support must be titrated based on SpO2 that allows continuous measurements of patient oxygenation, even though this technology has limitations and needs improvement. We may hope for a major technological evolution as the main working principles of this technology, which are more than 50 years old, have not changed appreciably. Waiting for this improvement in pulse oximetry technology, clinicians should tread carefully and apply algorithms to correct for these deficiencies. Whatever the clinician thinks is the appropriate oxygenation target, this "optimal SaO2" target needs to be corrected when utilizing the SpO2 for the titration based on skin pigmentation and oximeter brand. It has become increasingly apparent that the SpO2 target cannot simply be the SaO2 target! To facilitate the quest of the optimal SpO2 targets and to promote a more homogeneous management of patientsβ oxygenation regardless of skin pigmentation or monitoring device of oxygenation there are several potential solutions. We believe that one SpO2 target does not fit all patients and that further clinical trials and clinical guidelines should use corrected SpO2 targets rather than universal targets for all patients. Consequently, clinicians should first define a SaO2 target relative to the patient under respiratory support and then apply corrections for the mean bias related to the skin pigmentation and to the oximeter used to get the corrected SpO2.
Auto
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Auto-PEEP is a teaching app about leftover pressure in the lung. Auto-PEEP appears when the lung has not finished emptying before the next breath starts. Air stays trapped. The next breath begins above the resting volume of the lung. The learner watches two pictures of the same breath: β’ Paw β airway pressure β’ Flow β whether flow is still leaving when the next breath starts An empty lung reaches its resting volume before the next breath. A trapped lung does not. On the pressureβvolume loop, the trapped breath does not close. The five screens are: 1. What β empty lung versus trapped lung 2. Why β rate too high, inspiratory time too long, or airway resistance too high 3. Cases β the same lesson in a neonate, an infant, and an adolescent 4. Info β what to look for on a ventilator screen 5. Refs β the papers behind the lesson
Screenshots
Verdict
The clearest difference is iOS requirement: Oxyg'App at 13.0 against Auto's 17.0. On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price Β· Rating Β· Positive reviews Β· Number of ratings Β· Update frequency Β· Ads Β· In-app purchases Β· Monetization Β· Best chart rank Β· Devices Β· Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Oxyg'App | Auto |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 6 days | β |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPod | iPhone, iPad |
| Requires iOS | 13.0 β better | 17.0 |
| Further details β not scored | ||
| Size | 32 MB | 1 MB |
| Age rating | 4+ | 4+ |
| Developer | L'Institut universitaire de cardiologie et de pneumologie de QuΓ©bec (IUCPQ) | Satish Deopujari |
In-app purchases
Oxyg'App
No in-app purchases
Auto
No in-app purchases








