TY - JOUR
T1 - Association of corrected QT interval with long-term mortality in patients with syncope
AU - Balasubramaniyam, Nivas
AU - Palaniswamy, Chandrasekar
AU - Aronow, Wilbert S.
AU - Khera, Sahil
AU - Balasubramanian, Gokulakrishnan
AU - Harikrishnan, Prakash
AU - Doshi, Jay V.
AU - Nabors, Christopher
AU - Peterson, Stephen J.
AU - Sule, Sachin
PY - 2013/12
Y1 - 2013/12
N2 - Introduction: The electrocardiographic parameters QRS duration, QRS-T angle and QTc can predict mortality in patients with cardiovascular disease. The prgnostic value of these parameters in hospitalized patients with syncope needs investigation. Material and methods: We retrospectively studied 590 consecutive patients hospitalized with syncope. After excluding patients with baseline abnormal rhythm, QT- prolonging medications, and missing data, 459 patients were analyzed. Baseline demographic characteristics, co-morbidities, medication use, San Francisco Syncope Rule (SFSR) and Osservatorio Epidemiologico sulla Sincope nel Lazio (OESIL) score and data on mortality were collected. The categorical variables and continuous variables of the 2 groups of patients with prolonged QTc and normal QTc interval were analyzed by Fischer's exact test and Mann-Whitney Test. A stepwise Cox regression model was used for time to death analysis. Results: Of 459 patients, prolonged QTc interval was observed in 122 (27%). Mean follow-up was 41 months. Patients with prolonged QTc interval had higher prevalence of cardiovascular disease, OESIL score, high risk SFSR, hypertension, dyslipidemia, coronary artery disease, congestive heart failure, and increased mortality. Stepwise Cox regression analysis showed that significant independent prognostic factors for time to death were prolonged QTc interval (p = 0.005), age (p = 0.001), diabetes mellitus (p = 0.001) and history of malignancy (p = 0.006). QRS duration and QRS-T angle were not independent predictors of mortality. Conclusions: A prolonged QTc interval is an independent predictor of long-term mortality in hospitalized patients with syncope.
AB - Introduction: The electrocardiographic parameters QRS duration, QRS-T angle and QTc can predict mortality in patients with cardiovascular disease. The prgnostic value of these parameters in hospitalized patients with syncope needs investigation. Material and methods: We retrospectively studied 590 consecutive patients hospitalized with syncope. After excluding patients with baseline abnormal rhythm, QT- prolonging medications, and missing data, 459 patients were analyzed. Baseline demographic characteristics, co-morbidities, medication use, San Francisco Syncope Rule (SFSR) and Osservatorio Epidemiologico sulla Sincope nel Lazio (OESIL) score and data on mortality were collected. The categorical variables and continuous variables of the 2 groups of patients with prolonged QTc and normal QTc interval were analyzed by Fischer's exact test and Mann-Whitney Test. A stepwise Cox regression model was used for time to death analysis. Results: Of 459 patients, prolonged QTc interval was observed in 122 (27%). Mean follow-up was 41 months. Patients with prolonged QTc interval had higher prevalence of cardiovascular disease, OESIL score, high risk SFSR, hypertension, dyslipidemia, coronary artery disease, congestive heart failure, and increased mortality. Stepwise Cox regression analysis showed that significant independent prognostic factors for time to death were prolonged QTc interval (p = 0.005), age (p = 0.001), diabetes mellitus (p = 0.001) and history of malignancy (p = 0.006). QRS duration and QRS-T angle were not independent predictors of mortality. Conclusions: A prolonged QTc interval is an independent predictor of long-term mortality in hospitalized patients with syncope.
KW - Mortality
KW - QTc interval
KW - Syncope
UR - http://www.scopus.com/inward/record.url?scp=84892387402&partnerID=8YFLogxK
U2 - 10.5114/aoms.2013.39383
DO - 10.5114/aoms.2013.39383
M3 - Article
AN - SCOPUS:84892387402
SN - 1734-1922
VL - 9
SP - 1049
EP - 1054
JO - Archives of Medical Science
JF - Archives of Medical Science
IS - 6
ER -