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ICU Mortality For PC – Free Download In Windows 7, 8, 10 And Mac

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The mortality rate in an intensive care unit (ICU) is a measure of the number of patients who die in the ICU per unit of time. The ICU mortality rate can be used to compare the quality of care at different ICUs and to identify potential problems in the care of patients in the ICU.

The latest ICU Mortality for PC has come up with a few updates that are better than the previous version. Want to know those? Here are they:

ICU Mortality Andorid App Summary

David Folgado De la Rosa has developed the ICU Mortality for Android. You can find it under the Medical category on Play Store. Since its inception, ICU Mortality has got over 178+ users on board. For the user rating, it is currently holding a 0.0 rating and the latest version of it is App released after paper published.

The latest update of ICU Mortality is Jun 16, 2020 for phones. You can’t use it on your PC directly. So, you have to use an Android emulator like BlueStacks Emulator, Memu Emulator, Nox Player Emulator, etc.

No worries, we will discuss the methods to run it on your computer using the emulators whether you use a PC or Mac. Follow the methods we’ve discussed below.

ICU Mortality App Overview and Details

This mobile App is a medical calculator indicating the likelihood that a patient admitted to the ICU will die during admission.

To calculate this likelihood we need to know the following patient parameters: medical admission [yes or no (surgical admission)], sepsis (yes or no), inotropic support (yes or no), cardiology admission (yes or no), mechanical ventilation (yes or no) and function scale (independent, dependent or disability).

To provide this likelihood the App will calculate a total score based on the risk afforded by the above parameters. A patient will have a greater risk of death if he or she has a medical or cardiology admission, has inotropic support, mechanical ventilation, sepsis or a higher degree of dependence. According to the score obtained, the patient will have a probability associated with death.

More details about the development of the risk score are given in the following scientific publications:

1. Dólera-Moreno C, Palazón-Bru A, Colomina-Climent F, Gil-Guillén VF. Construction and internal validation of a new mortality risk score for patients admitted to the intensive care unit. Int J Clin Pract 2016;70:916-922. doi: 10.1111/ijcp.12851.

2. Palazón-Bru A, Dólera-Moreno C, Folgado-de la Rosa DM, Colomina-Climent F, Gil-Guillén VF. An update to the internal validation of the new mortality risk score for patients admitted to the intensive care unit. Int J Clin Pract 2016;70:961-962. doi: 10.1111/ijcp.12897.

Nonetheless, as with predictive models, this score must be validated externally for use in other populations before its implementation in daily clinical practice. To carry out this process, both discrimination and calibration must be examined. Discrimination consists of determining whether a higher score can differentiate between those subjects who will die and those who will not. This should be assessed by calculating the area under the ROC curve. Calibration involves analyzing whether the event probabilities predicted by the model correspond to those observed in reality. This process is preferably performed using smooth calibration plots based on splines or loess. In addition, the validation must be assessed using an optimum statistical technique, such as bootstrapping.

Another point to be considered is the sample size to perform the validation process. Two approaches have been published. The first requires at least 100 events (deaths), regardless of the predictive model being addressed, and the second is a specific algorithm for each scoring system. More details about this second method are given in:

1.Palazón-Bru A, Folgado-de la Rosa DM, Cortés-Castell E, López-Cascales MT, Gil-Guillén VF. Sample size calculation to externally validate scoring systems based on logistic regression models. PLoS One 2017;12:e0176726. doi: 10.1371/journal.pone.0176726.

Using the latter approach for the scoring system concerning ICU mortality, we would need at least 69 deceased patients.

Taking into account all of these points, this mobile app performs the external validation process, determining discrimination and smooth calibration (splines) through bootstrapping. The patient data is entered, and once the sample size has been reached (either of the two approaches maybe chosen), the app will start the calculations. Finally, a report will be generated and sent by email (attached with your data set), explaining the obtained results. However, if you have previously validated the scoring system, you can calculate the risk directly without carrying out the validation process.

A scientific paper is in process in which we will give more information about the mobile App.

IMPORTANT NOTE: This application only gives probabilities. Although it is impossible to know the certain prognosis of a patient, this calculator gives us an approximation (if validated correctly). Clinical decisions must always be made by physicians. The authors will not be held responsible for decisions made using this application.

Features of ICU Mortality for PC

estimated by the model match the observed event frequencies in the validation set.

1. The app can be used to calculate the likelihood that a patient admitted to the ICU will die during admission.
2. The app uses patient parameters such as medical admission, sepsis, inotropic support, cardiology admission, mechanical ventilation, and function scale to calculate a total score.
3. A patient will have a greater risk of death if he or she has a medical or cardiology admission, has inotropic support, mechanical ventilation, sepsis, or a higher degree of dependence.
4. The score obtained can be used to estimate the patient’s probability of death.
5. The score must be validated externally for use in other populations before its implementation in daily clinical practice.
6. Discrimination consists of determining whether a higher score can differentiate between those subjects who will die and those who will not.
7. This should be assessed by calculating the area under the ROC curve.
8. Calibration involves analyzing whether the event probabilities estimated by the model match the observed event frequencies in the validation set.

Install “ICU Mortality” on PC: Windows 10/8/7 & Mac

If you want to run the ICU Mortality on your PC, you’ll need the Memu android emulator. Here is the process of installing both on your PC:

  • Download the Memu android emulator on your computer and install it. It will take a few minutes from start to finish.
  • While finishing, keep the Open when finished checked and other additional offers unchecked.
  • Once installed and opened, you’ll see a familiar interface with familiar apps on the screen, including Play store.
  • Click on the Play store and log into your account using your google email and password that you use on your phone.
  • You can now search for the ICU Mortality app within Play store. It will show you the app on the search results in the first position.
  • Click on the app name and then click install to begin the download process on your computer to install ICU Mortality.
  • It may take a few minutes for the entire process. Once complete, you can now open the app from your desktop or the emulator homepage.
ICU Mortality App Specification
App Name: ICU Mortality On Your PC
Devoloper Name: David Folgado De la Rosa
Latest Version: App released after paper published.
Android Version: 4.4
Supporting OS: Windows,7,8,10 & Mac (32 Bit, 64 Bit)
Package Name: dfolgado.predictor.icu
Download: 178+
Category: Medical
Updated on: Jun 16, 2020
Get it On:

Download

Whats New In this ICU Mortality?

Stable version with DOI.

Conclusion

The ICU Mortality application is a valuable tool for measuring the mortality rate of patients in the ICU. The application is easy to use and provides valuable information on the mortality rate of patients in the ICU. The application can be used to improve the care of patients in the ICU and to improve the mortality rate of patients in the ICU.

So, did you find the guide on how to download the ICU Mortality for PC above? If you did, or if you have any questions regarding it, do comment and let us know. We’re here to help.

Disclaimer

We refer the ownership of This ICU Mortality to its creator/developer. We don’t own or affiliate for ICU Mortality and/or any part of it, including its trademarks, images, and other elements.

Here at nysga, we also don’t use our own server to download the ICU Mortality. We refer to the official server, store, or website to help our visitors to download the ICU Mortality.

If you have any query about the app or about nysga, we’re here to help you out. Just head over to our contact page and talk your heart to us. We’ll get back to you ASAP.

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