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IRIS
Abstract
AIMS:
The objective of this study was to evaluate the prevalence of the prescription of QT-prolonging drugs at hospital admission and discharge and the risk factors associated with their use in older people (aged 65 years and older).
METHODS:
Data were obtained from the REPOSI (REgistro POliterapie SIMI [Società Italiana di Medicina Interna]) registry, which enrolled 4035 patients in 2008 (n = 1332), 2010 (n = 1380), and 2012 (n = 1323). Multivariable logistic regression was performed to determine the risk factors independently associated with QT-prolonging drug use. QT-prolonging drugs were classified by the risk of Torsades de Pointes (TdP) (definite, possible, or conditional) according to the Arizona Center for Education and Research on Therapeutics (AzCERT) classification. Specific drug combinations were also assessed.
RESULTS:
Among 3906 patients prescribed at least one drug at admission, 2156 (55.2%) were taking at least one QT-prolonging drug. Risk factors independently associated with the use of any QT-prolonging drugs were increasing age (odds ratio [OR] 1.02, 95% CI 1.01-1.03), multimorbidity (OR 2.69, 95% CI 2.33-3.10), hypokalemia (OR 2.79, 95% CI 1.32-5.89), atrial fibrillation (OR 1.66, 95% CI 1.40-1.98), and heart failure (OR 3.17, 95% CI 2.49-4.05). Furosemide, alone or in combination, was the most prescribed drug. Amiodarone was the most prescribed drug with a definite risk of TdP. Both the absolute number of QT-prolonging drugs (2890 vs. 3549) and the number of patients treated with them (2456 vs. 2156) increased at discharge. Among 1808 patients not prescribed QT-prolonging drugs at admission, 35.8% were prescribed them at discharge.
CONCLUSIONS:
Despite their risk, QT-prolonging drugs are widely prescribed to hospitalized older persons. The curriculum for both practicing physicians and medical students should be strengthened to provide more education on the appropriate use of drugs in order to improve the management of hospitalized older people.
Prevalence and Risk Factors Associated with Use of QT-Prolonging Drugs in Hospitalized Older People
Abstract
AIMS:
The objective of this study was to evaluate the prevalence of the prescription of QT-prolonging drugs at hospital admission and discharge and the risk factors associated with their use in older people (aged 65 years and older).
METHODS:
Data were obtained from the REPOSI (REgistro POliterapie SIMI [Società Italiana di Medicina Interna]) registry, which enrolled 4035 patients in 2008 (n = 1332), 2010 (n = 1380), and 2012 (n = 1323). Multivariable logistic regression was performed to determine the risk factors independently associated with QT-prolonging drug use. QT-prolonging drugs were classified by the risk of Torsades de Pointes (TdP) (definite, possible, or conditional) according to the Arizona Center for Education and Research on Therapeutics (AzCERT) classification. Specific drug combinations were also assessed.
RESULTS:
Among 3906 patients prescribed at least one drug at admission, 2156 (55.2%) were taking at least one QT-prolonging drug. Risk factors independently associated with the use of any QT-prolonging drugs were increasing age (odds ratio [OR] 1.02, 95% CI 1.01-1.03), multimorbidity (OR 2.69, 95% CI 2.33-3.10), hypokalemia (OR 2.79, 95% CI 1.32-5.89), atrial fibrillation (OR 1.66, 95% CI 1.40-1.98), and heart failure (OR 3.17, 95% CI 2.49-4.05). Furosemide, alone or in combination, was the most prescribed drug. Amiodarone was the most prescribed drug with a definite risk of TdP. Both the absolute number of QT-prolonging drugs (2890 vs. 3549) and the number of patients treated with them (2456 vs. 2156) increased at discharge. Among 1808 patients not prescribed QT-prolonging drugs at admission, 35.8% were prescribed them at discharge.
CONCLUSIONS:
Despite their risk, QT-prolonging drugs are widely prescribed to hospitalized older persons. The curriculum for both practicing physicians and medical students should be strengthened to provide more education on the appropriate use of drugs in order to improve the management of hospitalized older people.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/693907
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
