Confusion epidemiology and demographics: Difference between revisions

Jump to navigation Jump to search
No edit summary
 
(9 intermediate revisions by 3 users not shown)
Line 1: Line 1:
__NOTOC__
{{Confusion}}
{{Confusion}}
{{CMG}}; {{AE}} {{ADI}}
{{CMG}}; {{AE}} {{ADI}}
==Overview==
==Overview==
Nearly about 30% of older patients admitted for medical conditions are confused at some point of time during their admission<ref name="pmid1634729">{{cite journal |author=Francis J |title=Delirium in older patients |journal=J Am Geriatr Soc |volume=40 |issue=8 |pages=829–38 |year=1992 |month=August |pmid=1634729 |doi= |url=}}</ref>. In surgical wards the chances of confusion ranges from 10-50%<ref name="pmid7864702">{{cite journal |author=Dyer CB, Ashton CM, Teasdale TA |title=Postoperative delirium. A review of 80 primary data-collection studies |journal=Arch. Intern. Med. |volume=155 |issue=5 |pages=461–5 |year=1995 |month=March |pmid=7864702 |doi= |url=}}</ref>. Increasing rates are seen in patients admitted to intensive care units and in hospice care. There is no significant difference in distribution basing upon sex or race.
Nearly 30% of older patients admitted for medical conditions are confused at some point of time during their stay at the hospital.<ref name="pmid1634729">{{cite journal |author=Francis J |title=Delirium in older patients |journal=J Am Geriatr Soc |volume=40 |issue=8 |pages=829–38 |year=1992 |month=August |pmid=1634729 |doi= |url=}}</ref> In surgical wards the probability of confusion ranges from 10-50%.<ref name="pmid7864702">{{cite journal |author=Dyer CB, Ashton CM, Teasdale TA |title=Postoperative delirium. A review of 80 primary data-collection studies |journal=Arch. Intern. Med. |volume=155 |issue=5 |pages=461–5 |year=1995 |month=March |pmid=7864702 |doi= |url=}}</ref> Increasing rates are seen in patients admitted to intensive care units and in hospice care. There is no significant difference in the distribution based upon gender or race.


==Epidemiology and Demographics==
==Epidemiology and Demographics==
Statistical data exists for acute confusional states like Delirium.
'''Sex: '''
No sex predilection is seen in confusion. Some studies show male preponderance but no establishing data is reported.It can be associated to other co morbid conditions.<ref name="pmid16690993">{{cite journal |author=Edlund A, Lundström M, Karlsson S, Brännström B, Bucht G, Gustafson Y |title=Delirium in older patients admitted to general internal medicine |journal=J Geriatr Psychiatry Neurol |volume=19 |issue=2 |pages=83–90 |year=2006 |month=June |pmid=16690993 |doi=10.1177/0891988706286509 |url=}}</ref>


'''Age: '''
===Age===
Increasing age is always a predictor for confusional states. If it is associated with any stroke like conditions or any metabolic derangements chances will be high.
Increasing age is associated with an increased risk of confusion. This in part due to the increased risk of [[stroke]] associated with older age as well as an increased risk of metabolic disorders as well as side effects from drugs.


'''Race: '''
===Gender===
No study depicts race as a predicting factor as there is no much difference between its occurrence in varied population.
In general, there is no association of gender with confusion, although a few studies demonstrate an association of male gender with confusion.<ref name="pmid16690993">{{cite journal |author=Edlund A, Lundström M, Karlsson S, Brännström B, Bucht G, Gustafson Y |title=Delirium in older patients admitted to general internal medicine |journal=J Geriatr Psychiatry Neurol |volume=19 |issue=2 |pages=83–90 |year=2006 |month=June |pmid=16690993 |doi=10.1177/0891988706286509 |url=}}</ref>
 
===Race===
Race is not associated with confusion.


==References==
==References==
Line 21: Line 22:
{{WS}}
{{WS}}


[[Category:Neurology]]
[[Category:Emergency medicine]]
[[Category:Psychiatry]]
[[Category:Endocrinology]]
[[Category:Grammar]]
[[Category:Grammar]]
[[Category:Intensive care medicine]]

Latest revision as of 19:50, 2 June 2015

Confusion Microchapters

Home

Patient Information

Overview

Pathophysiology

Causes

Differentiating Confusion from other Symptoms

Epidemiology and Demographics

Risk Factors

Natural History, Complications and Prognosis

Diagnosis

History and Symptoms

Physical Examination

Laboratory Findings

Electrocardiogram

Chest X Ray

CT

MRI

Echocardiography or Ultrasound

Other Imaging Findings

Other Diagnostic Studies

Treatment

Medical Therapy

Surgery

Primary Prevention

Secondary Prevention

Cost-Effectiveness of Therapy

Future or Investigational Therapies

Case Studies

Case #1

Confusion epidemiology and demographics On the Web

Most recent articles

Most cited articles

Review articles

CME Programs

Powerpoint slides

Images

American Roentgen Ray Society Images of Confusion epidemiology and demographics

All Images
X-rays
Echo & Ultrasound
CT Images
MRI

Ongoing Trials at Clinical Trials.gov

US National Guidelines Clearinghouse

NICE Guidance

FDA on Confusion epidemiology and demographics

CDC on Confusion epidemiology and demographics

Confusion epidemiology and demographics in the news

Blogs on Confusion epidemiology and demographics

Directions to Hospitals Treating Confusion

Risk calculators and risk factors for Confusion epidemiology and demographics

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Aditya Govindavarjhulla, M.B.B.S. [2]

Overview

Nearly 30% of older patients admitted for medical conditions are confused at some point of time during their stay at the hospital.[1] In surgical wards the probability of confusion ranges from 10-50%.[2] Increasing rates are seen in patients admitted to intensive care units and in hospice care. There is no significant difference in the distribution based upon gender or race.

Epidemiology and Demographics

Age

Increasing age is associated with an increased risk of confusion. This in part due to the increased risk of stroke associated with older age as well as an increased risk of metabolic disorders as well as side effects from drugs.

Gender

In general, there is no association of gender with confusion, although a few studies demonstrate an association of male gender with confusion.[3]

Race

Race is not associated with confusion.

References

  1. Francis J (1992). "Delirium in older patients". J Am Geriatr Soc. 40 (8): 829–38. PMID 1634729. Unknown parameter |month= ignored (help)
  2. Dyer CB, Ashton CM, Teasdale TA (1995). "Postoperative delirium. A review of 80 primary data-collection studies". Arch. Intern. Med. 155 (5): 461–5. PMID 7864702. Unknown parameter |month= ignored (help)
  3. Edlund A, Lundström M, Karlsson S, Brännström B, Bucht G, Gustafson Y (2006). "Delirium in older patients admitted to general internal medicine". J Geriatr Psychiatry Neurol. 19 (2): 83–90. doi:10.1177/0891988706286509. PMID 16690993. Unknown parameter |month= ignored (help)

Template:WH Template:WS