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CV Risk Prognostic Model 1.1

4.4 MB / 1+ Downloads / Rating 5.0 - 7 reviews


See previous versions

CV Risk Prognostic Model, developed and published by MAGNA HEALTH SOLUTIONS, has released its latest version, 1.1, on 2017-11-29. This app falls under the Medical category on the Google Play Store and has achieved over 100 installs. It currently holds an overall rating of 5.0, based on 7 reviews.

CV Risk Prognostic Model APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.abbott.shift

Updated: 7 years ago

Developer Name: MAGNA HEALTH SOLUTIONS

Category: Medical

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing CV Risk Prognostic Model on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

5.0
Total 7 reviews

Reviews

5 ★, on 2017-10-18
Superb app developed by Indian College of Cardiology for CV Risk Prognosis in Heart Failure Patients. Very convenient and reliable

5 ★, on 2017-11-29
very nice and helpful app

5 ★, on 2017-10-21
Very Good app

5 ★, on 2017-11-02
Great app

5 ★, on 2017-10-18
Superb app

5 ★, on 2017-10-18
superb

Previous Versions

CV Risk Prognostic Model 1.1
2017-11-29 / 4.4 MB / Android 4.0+

About this app

The SHIFT Prognostic model calculator is a calculator allowing you to easily obtain the risk for heart failure (HF) patients. The risk calculator has been developed from the SHIFT sub- analysis, and provides important prognostic information in ambulatory patients with chronic HF receiving contemporary guideline-recommended therapy. The 10 best predictors for risk stratification in patients with chronic HF and left ventricular systolic dysfunction (LVSD), including easily obtainable clinical characteristics and heart rate (HR), have been included for this calculator.
Increased resting HR, low ejection fraction, raised creatinine, New York Heart Association class III/IV, longer duration of HF, history of left bundle branch block, , low systolic blood pressure and, for three models, age were strong predictors of all outcomes. Additional predictors were low body mass index, male gender, ischaemic HF, low total cholesterol, no history of hyperlipidaemia or dyslipidaemia and presence of atrial fibrillation/flutter. Note that the risk factors are independent.
The SHIFT Prognostic model includes simple, readily obtainable clinical characteristics to produce important prognostic information in patients with chronic HF, systolic dysfunction, and elevated HR. This may help better calibrate management to individual patient risk. This calculator assess the risk for two endpoints of the SHIFT trial: risk of cardiovascular death or hospital admission for worsening HF over the next 2 years, and risk of hospital admission for worsening heart failure over the next 2 years.

App Permissions

Allows an application to read from external storage.
Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to access information about networks.