The prediction of the in-hospital mortality of acutely ill medical patients by electrocardiogram (ECG) dispersion mapping compared with established risk factors and predictive scores--a pilot study.

Hdl Handle:
http://hdl.handle.net/10147/205011
Title:
The prediction of the in-hospital mortality of acutely ill medical patients by electrocardiogram (ECG) dispersion mapping compared with established risk factors and predictive scores--a pilot study.
Authors:
Kellett, John; Rasool, Shahzeb
Affiliation:
Department of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland. jgkellett@eircom.net
Citation:
The prediction of the in-hospital mortality of acutely ill medical patients by electrocardiogram (ECG) dispersion mapping compared with established risk factors and predictive scores--a pilot study. 2011, 22 (4):394-8 Eur. J. Intern. Med.
Journal:
European journal of internal medicine
Issue Date:
Aug-2011
URI:
http://hdl.handle.net/10147/205011
DOI:
10.1016/j.ejim.2011.01.013
PubMed ID:
21767758
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0953620511000185
Abstract:
ECG dispersion mapping (ECG-DM) is a novel technique that analyzes low amplitude ECG oscillations and reports them as the myocardial micro-alternation index (MMI). This study compared the ability of ECG-DM to predict in-hospital mortality with traditional risk factors such as age, vital signs and co-morbid diagnoses, as well as three predictive scores: the Simple Clinical Score (SCS)--based on clinical and ECG findings, and two Medical Admission Risk System scores--one based on vital signs and laboratory data (MARS), and one only on laboratory data (LD).; A convenient sample of 455 acutely ill medical patients (mean age 69.7±14.0 years) had their vital signs, mental and functional status recorded and a 12 lead ECG, routine laboratory investigations and ECG-DM performed immediately after admission to hospital. Each patient's in-hospital course and diagnoses at death or discharge were reviewed.; Of the vital signs only oxygen saturation and respiratory rate were statistically significant predictors of death. The continuous variables that predicted death the best were: MARS, SCS, LD, white cell count and MMI. The categorical variables that predicted in-hospital mortality with highest Chi-square were: a diagnosis of stroke, SCS>=12, LD>0.10, MARS>0.09 and MMI>36%.; ECG-DM may be a clinically useful predictor of in-hospital mortality. ECG-DM is inexpensive, only takes a few seconds to perform and requires no skill to interpret.
Item Type:
Article
Language:
en
MeSH:
Acute Disease; Age Factors; Aged; Body Surface Potential Mapping; Female; Follow-Up Studies; Hospital Mortality; Humans; Ireland; Male; Pilot Projects; Predictive Value of Tests; Prognosis; Retrospective Studies; Risk Factors; Severity of Illness Index
ISSN:
1879-0828

Full metadata record

DC FieldValue Language
dc.contributor.authorKellett, Johnen
dc.contributor.authorRasool, Shahzeben
dc.date.accessioned2012-01-26T11:21:45Z-
dc.date.available2012-01-26T11:21:45Z-
dc.date.issued2011-08-
dc.identifier.citationThe prediction of the in-hospital mortality of acutely ill medical patients by electrocardiogram (ECG) dispersion mapping compared with established risk factors and predictive scores--a pilot study. 2011, 22 (4):394-8 Eur. J. Intern. Med.en
dc.identifier.issn1879-0828-
dc.identifier.pmid21767758-
dc.identifier.doi10.1016/j.ejim.2011.01.013-
dc.identifier.urihttp://hdl.handle.net/10147/205011-
dc.description.abstractECG dispersion mapping (ECG-DM) is a novel technique that analyzes low amplitude ECG oscillations and reports them as the myocardial micro-alternation index (MMI). This study compared the ability of ECG-DM to predict in-hospital mortality with traditional risk factors such as age, vital signs and co-morbid diagnoses, as well as three predictive scores: the Simple Clinical Score (SCS)--based on clinical and ECG findings, and two Medical Admission Risk System scores--one based on vital signs and laboratory data (MARS), and one only on laboratory data (LD).-
dc.description.abstractA convenient sample of 455 acutely ill medical patients (mean age 69.7±14.0 years) had their vital signs, mental and functional status recorded and a 12 lead ECG, routine laboratory investigations and ECG-DM performed immediately after admission to hospital. Each patient's in-hospital course and diagnoses at death or discharge were reviewed.-
dc.description.abstractOf the vital signs only oxygen saturation and respiratory rate were statistically significant predictors of death. The continuous variables that predicted death the best were: MARS, SCS, LD, white cell count and MMI. The categorical variables that predicted in-hospital mortality with highest Chi-square were: a diagnosis of stroke, SCS>=12, LD>0.10, MARS>0.09 and MMI>36%.-
dc.description.abstractECG-DM may be a clinically useful predictor of in-hospital mortality. ECG-DM is inexpensive, only takes a few seconds to perform and requires no skill to interpret.-
dc.language.isoenen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0953620511000185en
dc.subject.meshAcute Disease-
dc.subject.meshAge Factors-
dc.subject.meshAged-
dc.subject.meshBody Surface Potential Mapping-
dc.subject.meshFemale-
dc.subject.meshFollow-Up Studies-
dc.subject.meshHospital Mortality-
dc.subject.meshHumans-
dc.subject.meshIreland-
dc.subject.meshMale-
dc.subject.meshPilot Projects-
dc.subject.meshPredictive Value of Tests-
dc.subject.meshPrognosis-
dc.subject.meshRetrospective Studies-
dc.subject.meshRisk Factors-
dc.subject.meshSeverity of Illness Index-
dc.titleThe prediction of the in-hospital mortality of acutely ill medical patients by electrocardiogram (ECG) dispersion mapping compared with established risk factors and predictive scores--a pilot study.en
dc.typeArticleen
dc.contributor.departmentDepartment of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland. jgkellett@eircom.neten
dc.identifier.journalEuropean journal of internal medicineen
dc.description.provinceMunster-
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