title: Diagnostic errors in the intensive care unit: a systematic review of autopsy studies.
abstract: BACKGROUND
  Misdiagnoses may be an underappreciated cause of preventable morbidity and mortality in the intensive care unit (ICU). Their prevalence, nature, and impact remain largely unknown.
  
  
  OBJECTIVE
  To determine whether potentially fatal ICU misdiagnoses would be more common than in the general inpatient population (~5%), and would involve more infections or vascular events.
  
  
  METHODS
  Systematic review of studies identified by electronic (MEDLINE, etc.) and manual searches (references in eligible articles) without language restriction (1966 through 2011).
  
  
  METHODS
  Observational studies examining autopsy-confirmed diagnostic errors in the adult ICU were included. Studies analysing misdiagnosis of one specific disease were excluded. Study results (autopsy rate, misdiagnosis prevalence, Goldman error class, diseases misdiagnosed) were abstracted and descriptive statistics calculated. We modelled the prevalence of Class I (potentially lethal) misdiagnoses as a non-linear function of the autopsy rate.
  
  
  RESULTS
  Of 276 screened abstracts, 31 studies describing 5863 autopsies (median rate 43%) were analysed. The prevalence of misdiagnoses ranged from 5.5%-100% with 28% of autopsies reporting at least one misdiagnosis and 8% identifying a Class I diagnostic error. The projected prevalence of Class I misdiagnoses for a hypothetical autopsy rate of 100% was 6.3% (95% CI 4.0% to 7.5%). Vascular events and infections were the leading lethal misdiagnoses (41% each). The most common individual Class I misdiagnoses were PE, MI, pneumonia, and aspergillosis.
  
  
  CONCLUSIONS
  Our data suggest that as many as 40,500 adult patients in an ICU in USA may die with an ICU misdiagnoses annually. Despite this, diagnostic errors receive relatively little attention and research funding. Future studies should seek to prospectively measure the prevalence and impact of diagnostic errors and potential strategies to reduce them.
authors: Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD 21287, USA. winters@jhmi.edu
authors: Bradford
authors: B
authors: Winters
authors: Jason
authors: J
authors: Custer
authors: Samuel M
authors: SM
authors: Galvagno
authors: Elizabeth
authors: E
authors: Colantuoni
authors: Shruti G
authors: SG
authors: Kapoor
authors: Heewon
authors: H
authors: Lee
authors: Victoria
authors: V
authors: Goode
authors: Karen
authors: K
authors: Robinson
authors: Atul
authors: A
authors: Nakhasi
authors: Peter
authors: P
authors: Pronovost
authors: David
authors: D
authors: Newman-Toker
mesh_terms: D000328:Adult; D001344:Autopsy; D003951:Diagnostic Errors / Q000517:prevention & control*; D005260:Female; D006801:Humans; D007362:Intensive Care Units / Q000592:standards*; D008297:Male