Prevalence of the QT interval prolongation and its risk factors in hospitalized geriatric patients: findings of a single center cross-sectional study in Pakistan

Geriatric inpatients are particularly susceptible to Torsades de Pointes (TdP) because they are usually polymorbid and often take QT-prolonging drugs. Since polypharmacy is common in hospitalized geriatrics, it may lead to QT-prolonging Drug-Drug interactions, resulting in adverse cardiac events. Additionally, a significant portion of geriatric patients likely have a combination of other risk factors such as heart failure, hypertension, left ventricular hypertrophy, myocardial infarction, ischemic heart disease, bradycardia, diabetes mellitus, and electrolyte imbalances. However, there is a lack of published data regarding the prevalence of risk factors for QT interval prolongation in this population. This study aimed to determine the prevalence of QT interval prolongation and its risk factors among hospitalized geriatric patients, shedding light on potential contributors to this life-threatening condition in a vulnerable population. This cross-sectional study was conducted at Ayub Teaching Hospital, Abbottabad from December 17, 2023, to May 9, 2024. During this study, 384 patients aged 65 years and older were analyzed. Various QT-prolonging medications were assessed using the CredibleMeds® database, while drug-drug interactions were evaluated using the Lexicomp interactions database. Logistic regression was used to identify the predictors of QT interval prolongation. Our study found that QT prolongation was more common in females (50.8%) than in males (49.2%). Among these patients, 60.2% presented with six QT-prolonging risk factors. Overall, QT-prolonging drugs were prescribed to 99.5% of patients. A total of 970 QT-prolonging drugs were identified, with the majority (70.4%) carrying a conditional risk of Torsades de Pointes. The most frequently prescribed category of QT-prolonging drugs was diuretics, accounting for 228 instances. QT-prolonging Drug-Drug Interactions were identified in 23.2% of patients. Statistically significant differences were found between the two groups (Prolonged QT interval vs. normal QT interval) in various factors such as all DDIs (p = 0.008), triglycerides (p = 0.03), ischemic heart disease (p = 0.02), myocardial infarction (p = 0.01), antimicrobials (p = 0.004), anti-emetics (p = 0.01), and analgesics (p = 0.05). Univariate analysis showed a statistically significant association of QT interval prolongation with 6–10 DDIs (p = 0.03); 11–15 DDIs (p = 0.001), > 15 DDIs (p = 0.01), ischemic heart disease (p = 0.02), myocardial infarction (p = 0.01), antimicrobials (p = 0.04), and antiemetic’s (p = 0.01). In multivariate analysis, a statistically significant association of QT interval prolongation was found with 11–15 DDIs (p = 0.03). This study identified a high prevalence of various risk factors for QT interval prolongation. When prescribing medications to this patient population, clinicians should conduct comprehensive medication reviews, regularly monitor the QT interval, and consider alternative therapies. Educating patients on medication risks and adherence to monitoring is crucial for early detection and reporting of adverse effects.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2025-09-25
DOI
https://doi.org/10.1186/s12877-025-06418-2
Citations
2
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
Field-Weighted Citation Impact
2.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of the QT interval prolongation and its risk factors in hospitalized geriatric patients: findings of a single center cross-sectional study in Pakistan

Wajid Syed, Muhammad Ashfaq, Adel Bashatah, Qasim Raza Khan et al.
2 citations
BMC Geriatrics
Cardiac electrophysiology and arrhythmias
2.78
article

Prevalence of the QT interval prolongation and its risk factors in hospitalized geriatric patients: findings of a single center cross-sectional study in Pakistan

Wajid Syed, Muhammad Ashfaq, Adel Bashatah, Qasim Raza Khan, Hafsa Tanveer, Muhammad Junaid Hassan Sharif, Muhammad Zeeshan Haroon, Ayesha Iqbal, Naji Alqahtani, Muhammad Mamoon Iqbal
article en
2 citations

Abstract

Geriatric inpatients are particularly susceptible to Torsades de Pointes (TdP) because they are usually polymorbid and often take QT-prolonging drugs. Since polypharmacy is common in hospitalized geriatrics, it may lead to QT-prolonging Drug-Drug interactions, resulting in adverse cardiac events. Additionally, a significant portion of geriatric patients likely have a combination of other risk factors such as heart failure, hypertension, left ventricular hypertrophy, myocardial infarction, ischemic heart disease, bradycardia, diabetes mellitus, and electrolyte imbalances. However, there is a lack of published data regarding the prevalence of risk factors for QT interval prolongation in this population. This study aimed to determine the prevalence of QT interval prolongation and its risk factors among hospitalized geriatric patients, shedding light on potential contributors to this life-threatening condition in a vulnerable population. This cross-sectional study was conducted at Ayub Teaching Hospital, Abbottabad from December 17, 2023, to May 9, 2024. During this study, 384 patients aged 65 years and older were analyzed. Various QT-prolonging medications were assessed using the CredibleMeds® database, while drug-drug interactions were evaluated using the Lexicomp interactions database. Logistic regression was used to identify the predictors of QT interval prolongation. Our study found that QT prolongation was more common in females (50.8%) than in males (49.2%). Among these patients, 60.2% presented with six QT-prolonging risk factors. Overall, QT-prolonging drugs were prescribed to 99.5% of patients. A total of 970 QT-prolonging drugs were identified, with the majority (70.4%) carrying a conditional risk of Torsades de Pointes. The most frequently prescribed category of QT-prolonging drugs was diuretics, accounting for 228 instances. QT-prolonging Drug-Drug Interactions were identified in 23.2% of patients. Statistically significant differences were found between the two groups (Prolonged QT interval vs. normal QT interval) in various factors such as all DDIs (p = 0.008), triglycerides (p = 0.03), ischemic heart disease (p = 0.02), myocardial infarction (p = 0.01), antimicrobials (p = 0.004), anti-emetics (p = 0.01), and analgesics (p = 0.05). Univariate analysis showed a statistically significant association of QT interval prolongation with 6–10 DDIs (p = 0.03); 11–15 DDIs (p = 0.001), > 15 DDIs (p = 0.01), ischemic heart disease (p = 0.02), myocardial infarction (p = 0.01), antimicrobials (p = 0.04), and antiemetic’s (p = 0.01). In multivariate analysis, a statistically significant association of QT interval prolongation was found with 11–15 DDIs (p = 0.03). This study identified a high prevalence of various risk factors for QT interval prolongation. When prescribing medications to this patient population, clinicians should conduct comprehensive medication reviews, regularly monitor the QT interval, and consider alternative therapies. Educating patients on medication risks and adherence to monitoring is crucial for early detection and reporting of adverse effects.

BMC GeriatricsVol. 25(1)
Ayub Medical College (PK), University of Nottingham (GB), University of Leicester (GB), University of Alberta (CA), COMSATS University Islamabad (PK), King Saud University (SA), Abbottabad University of Science and Technology (PK)
King Saud University
Openalex Percentile: Top 8%
Cardiac electrophysiology and arrhythmias
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.