Everything should be made as simple as possible, but not simpler.

  title={Everything should be made as simple as possible, but not simpler.},
  author={Andreas W. Prengel},
  journal={Critical care medicine},
  volume={41 12},
  • A. Prengel
  • Published 1 December 2013
  • Medicine
  • Critical care medicine
December 2013 • Volume 41 • Number 12 This saying, attributed to Albert Einstein, is suitable to describe an essential step in Classification and Regression Tree (CART) analysis (1), which was performed by Ebell et al (2) on data from the National Registry for Cardiopulmonary Resuscitation, to predict survival to hospital discharge after in-hospital cardiac arrest. The average survival to discharge after unexpected cardiac death in hospital has been quoted to be 17% (3). Although there are some… 



In-hospital cardiac arrest: incidence, prognosis and possible measures to improve survival

Interventions likely to improve survival include: early recognition and stabilisation of patients at risk of IHCA to enable prevention, faster and better in-hospital resuscitation and early defibrillation.

Prediction of Survival to Discharge Following Cardiopulmonary Resuscitation Using Classification and Regression Trees*

Models that predict survival to discharge with good neurologic function or with mild deficits following in-hospital cardiopulmonary arrest can assist physicians and patients who are considering do-not-resuscitate orders.

First documented rhythm and clinical outcome from in-hospital cardiac arrest among children and adults.

Because of better survival after asystole and PEA, children had better outcomes than adults despite fewer cardiac arrests due to VF or pulseless VT, according to this multicenter registry of in-hospital cardiac arrest.

Logistic regression and CART in the analysis of multimarker studies.

  • R. MullerM. Möckel
  • Medicine
    Clinica chimica acta; international journal of clinical chemistry
  • 2008

Neurologic Prognosis in Cardiac Arrest Patients Treated With Therapeutic Hypothermia

The American Academy of Neurology practice parameters for assessing prognosis after cardiac arrest may not be accurate for patients treated with therapeutic hypothermia and application of these guidelines may lead to overly pessimistic prognostication and premature withdrawal of care.

Epidemiology of sudden death.

A clinical-epidemiological and pathological study of sudden death in a defined area of Baltimore was begun in June 1970 and is characterized as having a high frequency of prior heart disease, hypertension, and diabetes, recent medical care, and many prodromal symptoms.

Primary Outcomes for Resuscitation Science Studies: A Consensus Statement From the American Heart Association

Although there is no single recommended outcome measure for trials of cardiac arrest care, the simple Cerebral Performance Categories or modified Rankin Scale after 90 days provides a reasonable outcome parameter for many trials.

The use of classification and regression trees in clinical epidemiology.

  • R. Marshall
  • Computer Science
    Journal of clinical epidemiology
  • 2001