Mechanical Ventilation Expert vs Matchly Rank

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.

Matchly was built by an emergency medicine physician who learned the hard way that ranking residency and fellowship programs on gut feeling isn’t a strategy. When interview season ends, every program blurs together. The dinner was great at one, the residents seemed happy at another — but which one actually fits what YOU need? Matchly replaces the spreadsheet chaos with a simple system: decide what matters to you before interviews, score each program the same way after every visit, and Matchly calculates your rank list from your scores. RANK OBJECTIVELY • Score every program with a structured questionnaire — same questions, every program, no recency bias • Customize the questionnaire: add your own sections and questions, and optionally weight what matters most to you • Matchly calculates your rank list from your scores — and you can still reorder manually • Compare programs side by side • Flag red flags so they’re impossible to forget three months later • Export your rank list to PDF TRACK EVERY INTERVIEW • Search the complete ACGME catalog of U.S. residency and fellowship programs — addresses, program directors, and contact info included • Set interview dates and sync them to your calendar with reminders, locations, and directions • Record voice memos right after each interview, transcribed on your device • Home Screen widget keeps your season at a glance WALK IN PREPARED • Build your interview-day question list once and reuse it for every program • Star your five must-ask questions and check them off as you go • Export your prep sheet to PDF YOUR DATA STAYS YOURS • Lock the app with Face ID • Automatic cloud backup keeps your programs, scores, and rank list safe across devices • Sign in with Apple, Google, or email — no ads, no tracking, no selling your data Whether you’re a U.S. senior, an IMG, or applying to fellowship, Matchly keeps the entire season — programs, interviews, impressions, and your final rank list — in one place. Match where you’ll actually be happy.