Developing a predictive model for vertigo using demographic and laboratory data: An evidence-based medicine approach

Ben Chih Yuan, Huey-Ming Tzeng

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Conclusion. The approach described in this paper may be helpful in establishing an early-warning, evidence-based mechanism for diagnosing vertigo, which can be utilized in medical education to reduce medical uncertainty. Objective. To use an evidence-based medicine approach to evaluate the probability of having vertigo using laboratory and demographic data. Material and methods. The study was conducted on 22 working days during July 2002. Targeted cases who visited a general hospital in southern Taiwan for routine physical examinations were asked to participate in the study and agreed to take additional tests during their visits. A total of 200 subjects were systematically and randomly selected from this data pool. We ran binary logistic regression on all these cases. Results. The logistic regression model explained 71.3% of the variance in having vertigo or not. The equation for having vertigo was as follows: -21.855+(1.132 xmale gender)+ (0.071 xage)+(-0.023 xsystolic blood pressure)+(0.057 xdiastolic blood pressure)+(0.048 xfasting glucose)+ (0.051 xcholesterol)+(-0.005 xtriglycerides)+(-0.361 xpresence of cardiovascular diseases).

Original languageEnglish (US)
Pages (from-to)20-24
Number of pages5
JournalActa Oto-Laryngologica
Volume126
Issue number1
DOIs
StatePublished - Jan 1 2006
Externally publishedYes

Fingerprint

Evidence-Based Medicine
Vertigo
Demography
Logistic Models
Blood Pressure
Medical Education
Taiwan
General Hospitals
Physical Examination
Uncertainty
Cardiovascular Diseases
Glucose

Keywords

  • Demographic characteristics
  • Evidence-based medicine
  • Laboratory data
  • Logistic regression
  • Vertigo

ASJC Scopus subject areas

  • Otorhinolaryngology

Cite this

Developing a predictive model for vertigo using demographic and laboratory data : An evidence-based medicine approach. / Yuan, Ben Chih; Tzeng, Huey-Ming.

In: Acta Oto-Laryngologica, Vol. 126, No. 1, 01.01.2006, p. 20-24.

Research output: Contribution to journalArticle

@article{0410214cb1f34e01b8e544317b6037ca,
title = "Developing a predictive model for vertigo using demographic and laboratory data: An evidence-based medicine approach",
abstract = "Conclusion. The approach described in this paper may be helpful in establishing an early-warning, evidence-based mechanism for diagnosing vertigo, which can be utilized in medical education to reduce medical uncertainty. Objective. To use an evidence-based medicine approach to evaluate the probability of having vertigo using laboratory and demographic data. Material and methods. The study was conducted on 22 working days during July 2002. Targeted cases who visited a general hospital in southern Taiwan for routine physical examinations were asked to participate in the study and agreed to take additional tests during their visits. A total of 200 subjects were systematically and randomly selected from this data pool. We ran binary logistic regression on all these cases. Results. The logistic regression model explained 71.3{\%} of the variance in having vertigo or not. The equation for having vertigo was as follows: -21.855+(1.132 xmale gender)+ (0.071 xage)+(-0.023 xsystolic blood pressure)+(0.057 xdiastolic blood pressure)+(0.048 xfasting glucose)+ (0.051 xcholesterol)+(-0.005 xtriglycerides)+(-0.361 xpresence of cardiovascular diseases).",
keywords = "Demographic characteristics, Evidence-based medicine, Laboratory data, Logistic regression, Vertigo",
author = "Yuan, {Ben Chih} and Huey-Ming Tzeng",
year = "2006",
month = "1",
day = "1",
doi = "10.1080/00016480510043468",
language = "English (US)",
volume = "126",
pages = "20--24",
journal = "Acta Oto-Laryngologica",
issn = "0001-6489",
publisher = "Informa Healthcare",
number = "1",

}

TY - JOUR

T1 - Developing a predictive model for vertigo using demographic and laboratory data

T2 - An evidence-based medicine approach

AU - Yuan, Ben Chih

AU - Tzeng, Huey-Ming

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Conclusion. The approach described in this paper may be helpful in establishing an early-warning, evidence-based mechanism for diagnosing vertigo, which can be utilized in medical education to reduce medical uncertainty. Objective. To use an evidence-based medicine approach to evaluate the probability of having vertigo using laboratory and demographic data. Material and methods. The study was conducted on 22 working days during July 2002. Targeted cases who visited a general hospital in southern Taiwan for routine physical examinations were asked to participate in the study and agreed to take additional tests during their visits. A total of 200 subjects were systematically and randomly selected from this data pool. We ran binary logistic regression on all these cases. Results. The logistic regression model explained 71.3% of the variance in having vertigo or not. The equation for having vertigo was as follows: -21.855+(1.132 xmale gender)+ (0.071 xage)+(-0.023 xsystolic blood pressure)+(0.057 xdiastolic blood pressure)+(0.048 xfasting glucose)+ (0.051 xcholesterol)+(-0.005 xtriglycerides)+(-0.361 xpresence of cardiovascular diseases).

AB - Conclusion. The approach described in this paper may be helpful in establishing an early-warning, evidence-based mechanism for diagnosing vertigo, which can be utilized in medical education to reduce medical uncertainty. Objective. To use an evidence-based medicine approach to evaluate the probability of having vertigo using laboratory and demographic data. Material and methods. The study was conducted on 22 working days during July 2002. Targeted cases who visited a general hospital in southern Taiwan for routine physical examinations were asked to participate in the study and agreed to take additional tests during their visits. A total of 200 subjects were systematically and randomly selected from this data pool. We ran binary logistic regression on all these cases. Results. The logistic regression model explained 71.3% of the variance in having vertigo or not. The equation for having vertigo was as follows: -21.855+(1.132 xmale gender)+ (0.071 xage)+(-0.023 xsystolic blood pressure)+(0.057 xdiastolic blood pressure)+(0.048 xfasting glucose)+ (0.051 xcholesterol)+(-0.005 xtriglycerides)+(-0.361 xpresence of cardiovascular diseases).

KW - Demographic characteristics

KW - Evidence-based medicine

KW - Laboratory data

KW - Logistic regression

KW - Vertigo

UR - http://www.scopus.com/inward/record.url?scp=28844485106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=28844485106&partnerID=8YFLogxK

U2 - 10.1080/00016480510043468

DO - 10.1080/00016480510043468

M3 - Article

C2 - 16308250

AN - SCOPUS:28844485106

VL - 126

SP - 20

EP - 24

JO - Acta Oto-Laryngologica

JF - Acta Oto-Laryngologica

SN - 0001-6489

IS - 1

ER -