Linked Life Data

19728117

Source:http://linkedlifedata.com/resource/pubmed/id/19728117

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-1-21
pubmed:abstractText
Causes of death of 625 subjects who died during the 4-year follow-up of a large population-based elderly cohort (Three-City study) were independently classified by the study adjudication committee and the national mortality register. The former used all available data about the cause of death (hospital records, medical data obtained from family physicians or specialists, and proxy interviews) and the latter used internationally standardized recommendations for processing death certificate data. Comparison showed a moderate overall agreement for underlying cause of death between the study adjudication committee and the national register (kappa = 0.51). Differences were found especially for cardiovascular diseases (20.6% of deaths from the study committee vs. 32.5% from the national register) and ill-defined causes of death (22.7 vs. 4%). The proportion of disagreement increased in participants dying at age >85 compared to those dying at age < or =70 (adjusted odds ratio = 2.46, 95% confidence interval = 1.10-5.49). It was also higher when the study committee used hospital record data for defining cause of death, compared to adjudication based on data obtained from proxy (adjusted odds ratio = 1.85, 95% CI = 1.09-3.14). These findings raise questions about the validity of national mortality registers in very old persons. Disease-specific causes of death, especially vascular diseases, could be overestimated in this age group.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1573-7284
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
669-75
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Do we really know the cause of death of the very old? Comparison between official mortality statistics and cohort study classification.
pubmed:affiliation
Inserm U708-Neuroepidemiology, Institut national de la santé et de la recherche médicale, Hopital de La Salpêtrière, 75651, Paris Cedex 13, France. annick.alperovitch@upmc.fr
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't