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1.
Antibiotics (Basel) ; 12(1)2023 Jan 09.
Article in English | MEDLINE | ID: covidwho-2199678

ABSTRACT

After the onset of COVID-19 pandemic, a decrease in antibiotic consumption in the out-of-hospital setting was observed. However, data about the impact of this reduction on antimicrobial resistance are lacking. The aim of this study was to assess antibiotic consumption and antibiotic resistance at the community level in an Italian province before and after the beginning of the COVID-19 pandemic. We carried out an observational study, comparing antibiotic consumption in the community during 2019 and 2020 and the antibiotic resistance patterns of Enterobacterales cultured from urine samples from the out-of-hospital setting during the first semester of 2020 and 2021. Overall, antibiotic consumption decreased by 28% from 2019 to 2020 (from 13.9 to 9.97 DDD/1000 inhabitants/day). The main reductions involved penicillins (ATC J01C, from 6.9 to 4.8 DDD/1000 inhabitants/day, −31%), particularly amoxicillin/clavulanate (ATC J01CR02, −30%) and amoxicillin (J01CA04, −35.2%). Overall, 6445 strains of Enterobacterales were analyzed; in 2020, the susceptibility rate of amoxicillin/clavulanate increased from 57.5% to 87% among isolates from the primary care setting (p < 0.001) and from 39% to 72% (p < 0.001) among isolates from LTCF. The reduction in the community use of antibiotics observed in 2020 was followed by a change in the antimicrobial resistance patterns of urinary isolates.

2.
Monaldi Arch Chest Dis ; 90(4)2020 Dec 23.
Article in English | MEDLINE | ID: covidwho-1042105
3.
Eur J Endocrinol ; 183(4): 389-397, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-648847

ABSTRACT

OBJECTIVE: Specific comorbidities and old age create a greater vulnerability to severe Coronavirus Disease 19 (COVID-19). While obesity seems to aggravate the course of disease, the actual impact of the BMI and the cutoff which increases illness severity are still under investigation. The aim of the study was to analyze whether the BMI represented a risk factor for respiratory failure, admission to the intensive care unit (ICU) and death. RESEARCH DESIGN AND METHODS: A retrospective cohort study of 482 consecutive COVID-19 patients hospitalised between March 1 and April 20, 2020. Logistic regression analysis and Cox proportion Hazard models including demographic characteristics and comorbidities were carried out to predict the endpoints within 30 days from the onset of symptoms. RESULTS: Of 482 patients, 104 (21.6%) had a BMI ≥ 30 kg/m2. At logistic regression analysis, a BMI between 30 and 34.9 kg/m2 significantly increased the risk of respiratory failure (OR: 2.32; 95% CI: 1.31-4.09, P = 0.004) and admission to the ICU (OR: 4.96; 95% CI: 2.53-9.74, P < 0.001). A significantly higher risk of death was observed in patients with a BMI ≥ 35 kg/m2 (OR: 12.1; 95% CI: 3.25-45.1, P < 0.001). CONCLUSIONS: Obesity is a strong, independent risk factor for respiratory failure, admission to the ICU and death among COVID-19 patients. A BMI ≥ 30 kg/m2 identifies a population of patients at high risk for severe illness, whereas a BMI ≥ 35 kg/m2 dramatically increases the risk of death.


Subject(s)
Betacoronavirus , Body Mass Index , Coronavirus Infections/epidemiology , Obesity/epidemiology , Pneumonia, Viral/epidemiology , Respiratory Insufficiency/epidemiology , Adult , Aged , COVID-19 , Comorbidity , Coronavirus Infections/complications , Female , Hospitalization , Humans , Intensive Care Units , Italy/epidemiology , Logistic Models , Male , Middle Aged , Obesity/virology , Pandemics , Pneumonia, Viral/complications , Proportional Hazards Models , Respiratory Insufficiency/virology , Retrospective Studies , Risk Factors , SARS-CoV-2
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