Mechanical Ventilation Expert

450 installs
9.00 ratings
32 monthly active users
Revenue not available
Install Trends
Monthly +17
Steady

Mechanical Ventilation Expert Summary

Mechanical Ventilation Expert is a mobile iOS app in Medical by Valeriy Streltsov. Released in Oct 2021 (4 years ago). It has 9.00 ratings with a 2.11★ (poor) average. Based on AppGoblin estimates, it reaches roughly 32 monthly active users . Store metadata: updated Aug 26, 2025.

Store info: Last updated on App Store on Aug 26, 2025 .


2.11★

Ratings: 9.00

5★
4★
3★
2★
1★

Screenshots

App screenshot
App screenshot
App screenshot
App screenshot
App screenshot
App screenshot

App Description

Caution! This app is intended for intensive care physicians. If you are NOT a physician and would like to use it anyway, please consult your physician before using this app or making any medical decisions. This app has endorsement for usage in the Russian Federation.

Many doctors deal with the treatment of patients with varying degrees of acute respiratory failure (ARF). But the choice of the optimal method and, especially, the timely correction of the parameters of invasive and non-invasive mechanical lung ventilation often cause difficulties, especially for young doctors. Unfortunately, expensive ventilation machines, without their skillful use, are not a guarantee of an improvement in the mortality rate in ARF. This has been especially evident during the COVID-19 pandemic.

In international clinical practice, it is customary to determine the degree of ARF by the oxygenation index (the ratio of the partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspired oxygen (FiO2)). This indicator is also included in most "severity of illness" scoring systems (SOFA, APACHE II-III, etc.). However PaO2 estimation is only possible after collecting the arterial blood for laboratory monitoring of blood gases, making it costly and invasive.

In 2020-2021 a multicenter research was carried out at five clinical hospitals in Volgograd, Russia, which included 1038 patients with acute lung injury and acute respiratory distress syndrome against the background of viral (COVID-19) and bacterial pneumonia. The goals of the research were firstly, to develop a non-invasive method for determining the oxygenation index (PaO2 / FiO2) based on oxygen saturation (SpO2), and secondly, to define general criteria for correcting the parameters of invasive and non-invasive mechanical ventilation.

This application is based on the results of the research. The relationship between SpO2 and PaO2 index values was determined for various FiO2 and types of respiratory support. The app also implements the general principle of oxygen therapy - from less to more invasive. The app allows the user not only to choose the most effective method of respiratory support, but also timely learn about the need for its correction.

Every clinician knows that the mortality rate in patients with ARF is greatly influenced by the validity of the beginning and end of Invasive Mechanical Ventilation