ECG dispersion mapping predicts clinical deterioration, measured by increase in the Simple Clinical Score.

2.50
Hdl Handle:
http://hdl.handle.net/10147/236833
Title:
ECG dispersion mapping predicts clinical deterioration, measured by increase in the Simple Clinical Score.
Authors:
Kellett, J; Emmanuel, A; Rasool, S
Affiliation:
Department of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland. jgkellett@eircom.net
Citation:
ECG dispersion mapping predicts clinical deterioration, measured by increase in the Simple Clinical Score. 2012, 11 (1):8-12 Acute Med
Journal:
Acute medicine
Issue Date:
2012
URI:
http://hdl.handle.net/10147/236833
PubMed ID:
22423340
Abstract:
Objective: ECG dispersion mapping (ECG-DM) is a novel technique that reports abnormal ECG microalternations. We report the ability of ECG-DM to predict clinical deterioration of acutely ill medical patients, as measured by an increase in the Simple Clinical Score (SCS) the day after admission to hospital. Methods: 453 acutely ill medical patients (mean age 69.7 +/- 14.0 years) had the SCS recorded and ECGDM performed immediately after admission to hospital. Results: 46 patients had an SCS increase 20.8 +/- 7.6 hours after admission. Abnormal micro-alternations during left ventricular re-polarization had the highest association with SCS increase (p=0.0005). Logistic regression showed that only nursing home residence and abnormal micro-alternations during re-polarization of the left ventricle were independent predictors of SCS increase with an odds ratio of 2.84 and 3.01, respectively. Conclusion: ECG-DM changes during left ventricular re-polarization are independent predictors of clinical deterioration the day after hospital admission.
Item Type:
Article
Language:
en
MeSH:
Aged; Aged, 80 and over; Body Surface Potential Mapping; Cohort Studies; Disease Progression; Electrocardiography; Emergency Service, Hospital; Female; Hospital Mortality; Hospitalization; Humans; Ireland; Logistic Models; Male; Middle Aged; Monitoring, Physiologic; Odds Ratio; Predictive Value of Tests; Prognosis; Prospective Studies; Risk Assessment; Sensitivity and Specificity; Survival Analysis; Tachycardia, Ventricular
ISSN:
1747-4892

Full metadata record

DC FieldValue Language
dc.contributor.authorKellett, Jen_GB
dc.contributor.authorEmmanuel, Aen_GB
dc.contributor.authorRasool, Sen_GB
dc.date.accessioned2012-08-01T09:46:59Z-
dc.date.available2012-08-01T09:46:59Z-
dc.date.issued2012-
dc.identifier.citationECG dispersion mapping predicts clinical deterioration, measured by increase in the Simple Clinical Score. 2012, 11 (1):8-12 Acute Meden_GB
dc.identifier.issn1747-4892-
dc.identifier.pmid22423340-
dc.identifier.urihttp://hdl.handle.net/10147/236833-
dc.description.abstractObjective: ECG dispersion mapping (ECG-DM) is a novel technique that reports abnormal ECG microalternations. We report the ability of ECG-DM to predict clinical deterioration of acutely ill medical patients, as measured by an increase in the Simple Clinical Score (SCS) the day after admission to hospital. Methods: 453 acutely ill medical patients (mean age 69.7 +/- 14.0 years) had the SCS recorded and ECGDM performed immediately after admission to hospital. Results: 46 patients had an SCS increase 20.8 +/- 7.6 hours after admission. Abnormal micro-alternations during left ventricular re-polarization had the highest association with SCS increase (p=0.0005). Logistic regression showed that only nursing home residence and abnormal micro-alternations during re-polarization of the left ventricle were independent predictors of SCS increase with an odds ratio of 2.84 and 3.01, respectively. Conclusion: ECG-DM changes during left ventricular re-polarization are independent predictors of clinical deterioration the day after hospital admission.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to Acute medicineen_GB
dc.subject.meshAged-
dc.subject.meshAged, 80 and over-
dc.subject.meshBody Surface Potential Mapping-
dc.subject.meshCohort Studies-
dc.subject.meshDisease Progression-
dc.subject.meshElectrocardiography-
dc.subject.meshEmergency Service, Hospital-
dc.subject.meshFemale-
dc.subject.meshHospital Mortality-
dc.subject.meshHospitalization-
dc.subject.meshHumans-
dc.subject.meshIreland-
dc.subject.meshLogistic Models-
dc.subject.meshMale-
dc.subject.meshMiddle Aged-
dc.subject.meshMonitoring, Physiologic-
dc.subject.meshOdds Ratio-
dc.subject.meshPredictive Value of Tests-
dc.subject.meshPrognosis-
dc.subject.meshProspective Studies-
dc.subject.meshRisk Assessment-
dc.subject.meshSensitivity and Specificity-
dc.subject.meshSurvival Analysis-
dc.subject.meshTachycardia, Ventricular-
dc.titleECG dispersion mapping predicts clinical deterioration, measured by increase in the Simple Clinical Score.en_GB
dc.typeArticleen
dc.contributor.departmentDepartment of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland. jgkellett@eircom.neten_GB
dc.identifier.journalAcute medicineen_GB
dc.description.provinceMunsteren
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