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Objectives: The aims of this study were to assess (i) the prevalence of antibiotic use, (ii) factors associated with their use and (iii) the association with in-hospital mortality in a large sample of hospitalised older people in Italy.Methods: Data were obtained from the 2010-2017 REPOSI register held in more than 100 internal medicine and geriatric wards in Italy. Patients aged >= 65 years with at least one antibiotic prescription during their hospitalisation were selected. Multivariable logistic regression models were used to determine factors associated with antibiotic use.Results: A total of 5442 older patients were included in the analysis, of whom 2786 (51.2%) were prescribed antibiotics during their hospitalisation. The most frequently prescribed antibiotic class was beta-lactams, accounting for 50% of the total prescriptions. Poor physical independence, corticosteroid use and being hospitalised in Northern Italy were factors associated with a higher likelihood of being prescribed antibiotics. Antibiotic use was associated with an increased risk of in-hospital mortality (odds ratio = 2.52, 95% confidence interval 1.82-3.48) also when accounting for factors associated with their use.Conclusion: Hospitalised older people are often prescribed antibiotics. Factors related to poor physical independence and corticosteroid use are associated with increased antibiotic use. Being prescribed antibiotics is also associated with an increased risk of in-hospital death. These results demand the implementation of specific stewardship programmes to improve the correct use of antibiotics in hospital settings and to reduce the risk of antimicrobial resistance. (C) 2019 International Society for Antimicrobial Chemotherapy. Published by Elsevier Ltd. All rights reserved.
Objectives: The aims of this study were to assess (i) the prevalence of antibiotic use, (ii) factors associated with their use and (iii) the association with in-hospital mortality in a large sample of hospitalised older people in Italy.Methods: Data were obtained from the 2010-2017 REPOSI register held in more than 100 internal medicine and geriatric wards in Italy. Patients aged >= 65 years with at least one antibiotic prescription during their hospitalisation were selected. Multivariable logistic regression models were used to determine factors associated with antibiotic use.Results: A total of 5442 older patients were included in the analysis, of whom 2786 (51.2%) were prescribed antibiotics during their hospitalisation. The most frequently prescribed antibiotic class was beta-lactams, accounting for 50% of the total prescriptions. Poor physical independence, corticosteroid use and being hospitalised in Northern Italy were factors associated with a higher likelihood of being prescribed antibiotics. Antibiotic use was associated with an increased risk of in-hospital mortality (odds ratio = 2.52, 95% confidence interval 1.82-3.48) also when accounting for factors associated with their use.Conclusion: Hospitalised older people are often prescribed antibiotics. Factors related to poor physical independence and corticosteroid use are associated with increased antibiotic use. Being prescribed antibiotics is also associated with an increased risk of in-hospital death. These results demand the implementation of specific stewardship programmes to improve the correct use of antibiotics in hospital settings and to reduce the risk of antimicrobial resistance. (C) 2019 International Society for Antimicrobial Chemotherapy. Published by Elsevier Ltd. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3020440
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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.
