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Università LUM Giuseppe Degennaro - sito della Ricerca Institutional Research Information System
Background: Older patients are prone to multimorbidity and polypharmacy, with an inherent risk of adverse events and drug interactions. To the best of our knowledge, available information on the appropriateness of lipid-lowering treatment is extremely limited. Aim: The aim of the present study was to quantify and characterize lipid-lowering drug use in a population of complex in-hospital older patients. Methods: We analyzed data from 87 units of internal medicine or geriatric medicine in the REPOSI (Registro Politerapie della Società Italiana di Medicina Interna) study, with reference to the 2010 and 2012 patient cohorts. Lipid-lowering drug use was closely correlated with the clinical profiles, including multimorbidity markers and polypharmacy. Results: 2171 patients aged >65 years were enrolled (1057 males, 1114 females, mean age 78.6 years). The patients treated with lipid-lowering drugs amounted to 508 subjects (23.4%), with no gender difference. Atorvastatin (39.3%) and simvastatin (34.0%) were the most widely used statin drugs. Likelihood of treatment was associated with polypharmacy (â ¥5 drugs) and with higher Cumulative Illness Rating Scale (CIRS) score. At logistic regression analysis, the presence of coronary heart disease, peripheral vascular disease, and hypertension were significantly correlated with lipid-lowering drug use, whereas age showed an inverse correlation. Diabetes was not associated with drug treatment. Conclusions: In this in-hospital cohort, the use of lipid-lowering agents was mainly driven by patientsâ clinical history, most notably the presence of clinically overt manifestations of atherosclerosis. Increasing age seems to be associated with lower prescription rates. This might be indicative of cautious behavior towards a potentially toxic treatment regimen.
Prevalence and Determinants of the Use of Lipid-Lowering Agents in a Population of Older Hospitalized Patients: the Findings from the REPOSI (REgistro POliterapie Società Italiana di Medicina Interna) Study
Background: Older patients are prone to multimorbidity and polypharmacy, with an inherent risk of adverse events and drug interactions. To the best of our knowledge, available information on the appropriateness of lipid-lowering treatment is extremely limited. Aim: The aim of the present study was to quantify and characterize lipid-lowering drug use in a population of complex in-hospital older patients. Methods: We analyzed data from 87 units of internal medicine or geriatric medicine in the REPOSI (Registro Politerapie della Società Italiana di Medicina Interna) study, with reference to the 2010 and 2012 patient cohorts. Lipid-lowering drug use was closely correlated with the clinical profiles, including multimorbidity markers and polypharmacy. Results: 2171 patients aged >65 years were enrolled (1057 males, 1114 females, mean age 78.6 years). The patients treated with lipid-lowering drugs amounted to 508 subjects (23.4%), with no gender difference. Atorvastatin (39.3%) and simvastatin (34.0%) were the most widely used statin drugs. Likelihood of treatment was associated with polypharmacy (â ¥5 drugs) and with higher Cumulative Illness Rating Scale (CIRS) score. At logistic regression analysis, the presence of coronary heart disease, peripheral vascular disease, and hypertension were significantly correlated with lipid-lowering drug use, whereas age showed an inverse correlation. Diabetes was not associated with drug treatment. Conclusions: In this in-hospital cohort, the use of lipid-lowering agents was mainly driven by patientsâ clinical history, most notably the presence of clinically overt manifestations of atherosclerosis. Increasing age seems to be associated with lower prescription rates. This might be indicative of cautious behavior towards a potentially toxic treatment regimen.
Aged Aged 80 and over Female Hospitalization Humans Hypolipidemic Agents Logistic Models Male Polypharmacy Prevalence Geriatrics and Gerontology Pharmacology (medical)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12572/21138
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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.