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IRIS
Abstract
Background
The aim of the present study was to evaluate the association between heart failure (HF) and chronic kidney disease (CKD) in tertiary care centers using the clinical records of patients enrolled in internal medicine departments.
Patients and methods
We used the clinical records of 1380 elderly patients to identify patients with a history of HF and CKD using admission ICD codes and glomerular filtration rate (GFR) formulas. Magnitude and strength of such associations were investigated by univariable and multivariable analysis.
Results
Of the 1380 patients enrolled, 27.9% had HF (age 80 ± 7, BMI 27 ± 6 kg/m2) and 17.4% CKD (age 81 ± 7, BMI 26.8 ± 6 kg/m2). Both groups were significantly older (P < 0.0001) with BMI higher than the patients without those diagnosis (P < 0.02). Patients with a history of CKD showed higher non-fasting glycaemia (140 ± 86 vs. 125 ± 63 mg/dL, P < 0.001). CKD was significantly associated with HF (P < 0.0001). Patients with HF had an estimated GFR lower than patients without HF (P < 0.0001). Comorbidity and severity indices were significantly higher in subjects with HF (P < 0.0001) and CKD (P < 0.0001) than in those without. Multivariable analysis showed a significant association between HF and age (for five years increase OR 1.13, P < 0.009), BMI (for each 3 kg/m2 increase OR 1.15, P < 0.001), GFR (for each decrease of 10 mL/min increase OR 0.92, P < 0.002) and severity index (IS) (for each 0.25 units increase OR 1.43, P < 0.001).
Conclusion
HF on admission is strongly associated with CKD, older age, BMI, and SI. These data focus the value of epidemiological studies such REPOSI in identifying and monitoring multimorbidity in elderly.
Heart failure and chronic kidney disease in a registry of internal medicine wards
Abstract
Background
The aim of the present study was to evaluate the association between heart failure (HF) and chronic kidney disease (CKD) in tertiary care centers using the clinical records of patients enrolled in internal medicine departments.
Patients and methods
We used the clinical records of 1380 elderly patients to identify patients with a history of HF and CKD using admission ICD codes and glomerular filtration rate (GFR) formulas. Magnitude and strength of such associations were investigated by univariable and multivariable analysis.
Results
Of the 1380 patients enrolled, 27.9% had HF (age 80 ± 7, BMI 27 ± 6 kg/m2) and 17.4% CKD (age 81 ± 7, BMI 26.8 ± 6 kg/m2). Both groups were significantly older (P < 0.0001) with BMI higher than the patients without those diagnosis (P < 0.02). Patients with a history of CKD showed higher non-fasting glycaemia (140 ± 86 vs. 125 ± 63 mg/dL, P < 0.001). CKD was significantly associated with HF (P < 0.0001). Patients with HF had an estimated GFR lower than patients without HF (P < 0.0001). Comorbidity and severity indices were significantly higher in subjects with HF (P < 0.0001) and CKD (P < 0.0001) than in those without. Multivariable analysis showed a significant association between HF and age (for five years increase OR 1.13, P < 0.009), BMI (for each 3 kg/m2 increase OR 1.15, P < 0.001), GFR (for each decrease of 10 mL/min increase OR 0.92, P < 0.002) and severity index (IS) (for each 0.25 units increase OR 1.43, P < 0.001).
Conclusion
HF on admission is strongly associated with CKD, older age, BMI, and SI. These data focus the value of epidemiological studies such REPOSI in identifying and monitoring multimorbidity in elderly.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/693977
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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.