Author: Calderón-Parra, Jorge; Muiño-Miguez, Antonio; Bendala-Estrada, Alejandro D.; Ramos-MartÃnez, Antonio; Muñez-Rubio, Elena; Fernández Carracedo, Eduardo; Tejada Montes, Javier; Rubio-Rivas, Manuel; Arnalich-Fernandez, Francisco; Beato Pérez, Jose Luis; GarcÃa Bruñén, Jose Miguel; del Corral Beamonte, Esther; Pesqueira Fontan, Paula Maria; Carmona, Maria del Mar; Fernández-Madera MartÃnez, Rosa; González GarcÃa, Andrés; Salazar Mosteiro, Cristina; Tuñón de Almeida, Carlota; González Moraleja, Julio; Deodati, Francesco; MartÃn Escalante, MarÃa Dolores; Asensio Tomás, MarÃa Luisa; Gómez Huelgas, Ricardo; Casas Rojo, José Manuel; Millán Núñez-Cortés, Jesús
Title: Inappropriate antibiotic use in the COVID-19 era: Factors associated with inappropriate prescribing and secondary complications. Analysis of the registry SEMI-COVID Cord-id: 73jex4zg Document date: 2021_5_11
ID: 73jex4zg
Snippet: BACKGROUND: Most patients with COVID-19 receive antibiotics despite the fact that bacterial co-infections are rare. This can lead to increased complications, including antibacterial resistance. We aim to analyze risk factors for inappropriate antibiotic prescription in these patients and describe possible complications arising from their use. METHODS: The SEMI-COVID-19 Registry is a multicenter, retrospective patient cohort. Patients with antibiotic were divided into two groups according to appr
Document: BACKGROUND: Most patients with COVID-19 receive antibiotics despite the fact that bacterial co-infections are rare. This can lead to increased complications, including antibacterial resistance. We aim to analyze risk factors for inappropriate antibiotic prescription in these patients and describe possible complications arising from their use. METHODS: The SEMI-COVID-19 Registry is a multicenter, retrospective patient cohort. Patients with antibiotic were divided into two groups according to appropriate or inappropriate prescription, depending on whether the patient fulfill any criteria for its use. Comparison was made by means of multilevel logistic regression analysis. Possible complications of antibiotic use were also identified. RESULTS: Out of 13,932 patients, 3047 (21.6%) were prescribed no antibiotics, 6116 (43.9%) were appropriately prescribed antibiotics, and 4769 (34.2%) were inappropriately prescribed antibiotics. The following were independent factors of inappropriate prescription: February-March 2020 admission (OR 1.54, 95%CI 1.18–2.00), age (OR 0.98, 95%CI 0.97–0.99), absence of comorbidity (OR 1.43, 95%CI 1.05–1.94), dry cough (OR 2.51, 95%CI 1.94–3.26), fever (OR 1.33, 95%CI 1.13–1.56), dyspnea (OR 1.31, 95%CI 1.04–1.69), flu-like symptoms (OR 2.70, 95%CI 1.75–4.17), and elevated C-reactive protein levels (OR 1.01 for each mg/L increase, 95% CI 1.00–1.01). Adverse drug reactions were more frequent in patients who received ANTIBIOTIC (4.9% vs 2.7%, p < .001). CONCLUSION: The inappropriate use of antibiotics was very frequent in COVID-19 patients and entailed an increased risk of adverse reactions. It is crucial to define criteria for their use in these patients. Knowledge of the factors associated with inappropriate prescribing can be helpful.
Search related documents:
Co phrase search for related documents- abdominal infection and logistic regression: 1, 2
- abdominal infection and low quality: 1
- abdominal infection and low quality evidence: 1
- absence patient and logistic regression: 1, 2
- absence patient and low quality: 1
- absence patient and low quality evidence: 1
- absolute frequency and logistic regression: 1, 2, 3
- admission present and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- admission present and lopinavir ritonavir: 1, 2, 3, 4
- admission time and local protocol: 1
- admission time and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- admission time and lopinavir ritonavir: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- admission time and low incidence: 1, 2, 3, 4, 5
- admission time and macrolide antibiotic: 1, 2
- local protocol and logistic regression: 1
- local protocol and lopinavir ritonavir: 1
- logistic regression and low percentage: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- logistic regression and low quality: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
- logistic regression and low quality evidence: 1
Co phrase search for related documents, hyperlinks ordered by date