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The aim of this retrospective study was to highlight the differences in antibiotic resistance between Hospital-acquired and Community-acquired urinary tract infections (UTIs). Antimicrobial UTIs resistance data were collected from March 2011 to March 2018. Uropathogens were identified from 41,715 patients using routine laboratory methods. Differences in antibiotic resistance between Hospital and Community (non-hospitalized) patients were statistically validated. Odds ratio (OR) and p-values was used to determine whether a particular exposure (hospitalization) was a risk factor for a particular outcome (higher antibiotic resistance). We reported a general increase of unnecessary urine cultures in both community and hospital patients. The most representative microorganism isolated from Community (58.2%) and Hospital (47.6%) was E. coli. UTIs causative bacteria in hospitalized patients was more than twice as resistant to Trimetoprim/sulphamethoxazole (OR 2.26) and Imipenem (OR 2.56), for Gram-positive and Gram-negative, respectively, than in Community patients. Nitrofurantoin was the only agent without differences in resistance rate between community and hospital UTIs. Therefore, physicians could use it as a definitive therapy for uncomplicated cystitis and as a prophylactic agent for recurrent uncomplicated cystitis. With this work we provided a general protocol applicable by physicians to select the most suitable, if necessary, UTIs empiric treatment.

In Italy, there are limited studies on the molecular epidemiology of Clostridium difficile, possibly due to insufficient laboratory diagnostic capacity, low awareness and lack of high-quality surveillance systems. The aim of this study was to evaluate the diffusion of C. difficile in a tertiary care hospital and to genotype all the collected strains in order for hospital staff to take corrective action. All specimens were subjected to a CDI diagnostic algorithm. This included highly specific toxin PCRs and multilocus sequence typing (MLST) to obtain clear, unequivocal genotypization. During a three-year study period, as part of routine C. difficile testing, 711 stool samples were collected from 522 patients to detect the presence of toxigenic genes. After testing, 106 different samples were identified as toxigenic. The proportions of non-toxigenic and toxigenic isolates were respectively 8.7% (62/711) and 14.9% (106/711). The most infection findings in wards for toxigenic strains were in Internal Medicine (56), followed by Neurology (11) and Gastroenterology (11). Three novel sequence types (STs) were found. The two most prevalent STs in wards were clade 1 ST-378 (40) and clade 1 ST-379 (33). Other healthcare-acquired strains were clade 4 ST-37 (11) and clade 5 ST-11 (7). Two STs, namely clade 3 ST-5 (10) and clade 1 ST-380 (5), were isolated among external patients. To prevent an increase in outbreak probability, an active surveillance programme combined with proper hand hygiene, environmental cleaning and contact precautions should be implemented.

Nosocomial infections are one of the leading causes of morbidity and mortality in hospitalized patients. Studies of their prevalence in single institutions can reveal trends over time and help to identify risk factors. The aim of this study was to investigate the nosocomial infections trend and identify the prevalence of predominant bacterial microorganisms and their drug resistance patterns in an Italian tertiary care hospital. Infections were classified according to the Centres for Disease Control and Prevention definitions. A retrospective study was carried out from March 2011 to June 2014, based on the bacterial isolate reports of a hospital located in Central Italy. During the 40-month study period, a total of 1547 isolates were obtained from 1046 hospitalized patients and tested for their antibiotic sensitivity. The most common isolates belonged to the Enterobacteriaceae family (61.7%), followed by Enterococcus species (12.4%), Pseudomonas species (10.7%) and S. aureus (10.0%). The incidence density rate of nosocomial infections was 7.4 per 1000 patient days, with a significant difference among the 3 annual infection rates (P<0.001). The highest infection prevalence rate was found in Internal Medicine Unit (41.3%), followed by Intensive Care Units (12.4%), Surgical Units (9.0%,) and Cardiology (7.1%).