ODC Tutor vs Mechanical Ventilation Expert Usage & Stats
Title: The ODC App: A Guide to Understanding the Oxygen-Hemoglobin Dissociation Curve
Introduction:
The ODC app is a medical tool that allows users to visualize and understand the oxygen-hemoglobin dissociation curve, an essential concept in respiratory physiology. Developed by a team of medical professionals, this app offers a user-friendly interface that displays the relationship between partial pressure of oxygen (ODC's horizontal axis) and hemoglobin saturation (ODC's vertical axis) in a sigmoid curve.
Features:
The app's normal sigmoid curve can be shifted to the right or left, indicating the decreased and increased affinity of hemoglobin to oxygen, respectively. The app also displays the causes for the shift in the curve, helping users understand the factors that affect hemoglobin saturation. The application shows the fall in saturation of hemoglobin as the blood moves from the arterial to venous end, and the oscillating cursor indicates the heart rate which can be changed. The app displays both arterial and venous saturation and provides P50 value, which denotes the partial pressure of oxygen at which hemoglobin is 50% saturated (marked in the application).
The ICU point is an important feature that the app highlights. It marks the point where partial pressure of oxygen of 60 mm Hg corresponds to a hemoglobin saturation of 90%. At this point, a small drop in pressure leads to rapid drops in saturation, indicating the need for close monitoring in critical care settings.
Team Behind the App:
The ODC app was developed by a team of medical professionals, including Dr. Satish Deopujari, a Professor Emeritus at Govt. Medical College Nagpur IGGMC, Adjunct Professor in Mechanical Engineering at VNIT Nagpur, Chairman Academics at Nelson Hospital Nagpur, Founder Chairman of the National Pediatric Intensive chapter, and President of the Society of Pediatric Cardiac Critical Care in Chandigarh. Dr. Lawrence Martin, Dr. Vivek Shivhare, and Dr. Shruti Deopujari were also part of the development team. Their collective experience in the medical field has contributed to the development of medical education and research in India.
Dr. Satish Deopujari
Dr. Lawrence Martin
Dr. Vivek Shivhare
Dr. Shruti Deopujari
Disclaimer:
The ODC app is based on literature and formulas available publicly in the medical domain. The content displayed is intended for knowledge purposes and is a guide only. It does not replace or substitute for any professional medical institute or educational organization.
Sources:
The ODC app is based on the following sources:
Title: "Respiratory Physiology: The Essentials"
Author: John B. West
Year: 2004
Link: https://scholar.google.com/scholar_lookup?title=Respiratory%20Physiology%3A%20The%20Essentials&author=JB%20West&publication_year=2004&book=Respiratory%20Physiology%3A%20The%20Essentials
Title: "Oxygen-haemoglobin dissociation curve: understanding the significance in cardiopulmonary resuscitation"
Authors: Priya Rudingwa, Jay Prakash, and Anil Kumar Patil
Year: 2018
Link: https://www.sciencedirect.com/science/article/pii/S1743181617306066?via%3Dihub
Title: "The effects of hypoxia on human health and performance"
Authors: J.R. Sutton and P.J. Reeves
Year: 1992
Link: https://pubmed.ncbi.nlm.nih.gov/1465759/
Conclusion:
The ODC app is an excellent resource for medical professionals, students, and enthusiasts who want to understand the complex relationship between oxygen and hemoglobin saturation. It is easy to use and provides a comprehensive visual representation of the ODC. Whether you are in a critical care setting or simply curious about respiratory physiology, the ODC app is a must-have tool that provides a simple and effective way to learn about this essential topic. So, apply, enjoy, and learn with the ODC app!
- Apple App Store
- Free
- Medical
Store Rank
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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 treatment - and this app solves this problem.
The educational effect of this app should also be noted. It will help doctors to quickly master and more competently use expensive ventilation machines, which, of course, will have a beneficial effect on the results of treatment of patients with ARF.
The following sources were used to create the app:
1. Brown SM, Grissom CK, Moss M, Rice TW, Schoenfeld D, Hou PC, Thompson BT, Brower RG; NIH/NHLBI PETAL Network Collaborators. Nonlinear Imputation of Pao2/Fio2 From Spo2/Fio2 Among Patients With Acute Respiratory Distress Syndrome. Chest. 2016 Aug;150(2):307-13. doi: 10.1016/j.chest.2016.01.003. Epub 2016 Jan 19. PMID: 26836924; PMCID: PMC4980543.
2. Bilan N, Dastranji A, Ghalehgolab Behbahani A. Comparison of the spo2/fio2 ratio and the pao2/fio2 ratio in patients with acute lung injury or acute respiratory distress syndrome. J Cardiovasc Thorac Res. 2015;7(1):28-31. doi: 10.15171/jcvtr.2014.06. Epub 2015 Mar 29. PMID: 25859313; PMCID: PMC4378672.
3. Yoshida T, Takegawa R, Ogura H. [Ventilatory strategy for ARDS]. Nihon Rinsho. 2016 Feb;74(2):279-84. Japanese. PMID: 26915253.
4. Fan E, Brodie D, Slutsky AS. Acute Respiratory Distress Syndrome: Advances in Diagnosis and Treatment. JAMA. 2018 Feb 20;319(7):698-710. doi: 10.1001/jama.2017.21907. PMID: 29466596.
5. Петров, В. И. Эволюция клинико-фармакологических и терапевтических принципов лечения инфекции COVID-19 / Петров В. И. [и др. ]. - Москва : ГЭОТАР-Медиа, 2021. - 312 с. - DOI: 10.33029/9704-6386-4-ECPC-2021-1-312. - ISBN 978-5-9704-6386-4.
- Apple App Store
- Free
- Medical
Store Rank
- -
ODC Tutor VS. 
Mechanical Ventilation ExpertJanuary 8, 2025