Literature DB >> 10753991

Trends in validated cases of fatal and nonfatal stroke, stroke classification, and risk factors in southeastern New England, 1980 to 1991 : data from the Pawtucket Heart Health Program.

C A Derby1, K L Lapane, H A Feldman, R A Carleton.   

Abstract

BACKGROUND AND
PURPOSE: Recent US data suggest there is a slowing of the decline in stroke mortality rates, accompanied by a constant morbidity rate. Hospital discharge rates for patients with stroke are influenced by numerous factors, and community-based surveillance data for validated cases are rare. Thus, reasons for the observed trends remain unclear. In the present study, we examined trends in validated cases of stroke for 1980 to 1991 in the combined populations of the Pawtucket Heart Health Program study communities and examined concomitant trends in classification, use of diagnostic procedures, and levels of risk factors.
METHODS: Discharges for residents aged 35 to 74 years with International Classification of Diseases, Ninth Revision codes 431, 432, and 434 to 437 were identified through retrospective surveillance. A physician reviewed the medical records to validate case status.
RESULTS: Between 1980 and 1991, 2269 discharges were confirmed as representing definite or probable strokes (59.5% of 3811 cases reviewed). The fatal stroke rate declined (P<0.005) and the nonfatal stroke rate remained constant in both sexes. Case-fatality rates declined significantly (P=0.003), and among strokes, the relative odds of death in 1990 versus 1980 was 0.50 (95% CI 0.34 to 0.72). The proportion of stroke discharges in which the patient received a CT scan or MRI increased 120%, and fewer strokes were classified as ill defined. Hypertension prevalence, treatment, and control rates remained constant in these populations.
CONCLUSIONS: Although causes for the observed trends remain unclear, results suggest that the decline in mortality rates is due to improved survival rates for patients with stroke. However, constant morbidity rates combined with constant rates of hypertension highlight the need for improved prevention to reduce the impact of stroke.

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Mesh:

Year:  2000        PMID: 10753991     DOI: 10.1161/01.str.31.4.875

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

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Authors:  Susan E Andrade; Leslie R Harrold; Jennifer Tjia; Sarah L Cutrona; Jane S Saczynski; Katherine S Dodd; Robert J Goldberg; Jerry H Gurwitz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

2.  Commentary: approaches, strengths, and limitations of avoidable mortality.

Authors:  Glòria Pérez; Maica Rodríguez-Sanz; Eva Cirera; Katherine Pérez; Rosa Puigpinós; Carme Borrell
Journal:  J Public Health Policy       Date:  2014-03-13       Impact factor: 2.222

3.  Validity of international classification of disease codes to identify ischemic stroke and intracranial hemorrhage among individuals with associated diagnosis of atrial fibrillation.

Authors:  Jonathan L Thigpen; Chrisly Dillon; Kristen B Forster; Lori Henault; Emily K Quinn; Yorghos Tripodis; Peter B Berger; Elaine M Hylek; Nita A Limdi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-01-13

4.  Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims.

Authors:  Hiraku Kumamaru; Suzanne E Judd; Jeffrey R Curtis; Rekha Ramachandran; N Chantelle Hardy; J David Rhodes; Monika M Safford; Brett M Kissela; George Howard; Jessica J Jalbert; Thomas G Brott; Soko Setoguchi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-06-24

5.  Validity of hospital discharge diagnosis codes for stroke: the Atherosclerosis Risk in Communities Study.

Authors:  Sydney A Jones; Rebecca F Gottesman; Eyal Shahar; Lisa Wruck; Wayne D Rosamond
Journal:  Stroke       Date:  2014-09-04       Impact factor: 7.914

6.  Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review.

Authors:  Natalie McCormick; Vidula Bhole; Diane Lacaille; J Antonio Avina-Zubieta
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

7.  Temporal trends in the accuracy of hospital diagnostic coding for identifying acute stroke: A population-based study.

Authors:  Linxin Li; Lucy E Binney; Ramon Luengo-Fernandez; Louise E Silver; Peter M Rothwell
Journal:  Eur Stroke J       Date:  2019-10-14

Review 8.  Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group.

Authors:  Rebecca Woodfield; Ian Grant; Cathie L M Sudlow
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  8 in total

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