Adherence to surgical site infection guidelines in Italian cardiac surgery units

Background: : Data on the adherence to surgical site infection (SSI) prevention guidelines in Italian cardiac surgery units are lacking. Methods: : A multiple-choice questionnaire, structured into eight sections following the Centers for Disease Control 1999 (CDC) guidelines, was prepared and sent to 24 surgical units participating in a national study group (GIS-InCard); this units perform over 20% of all cardiac surgical procedures in Italy. Answers were stratified based upon the evidence of the recommendations: grade IA (ten questions), grade IB (52 questions), grade II (11 questions), and no recommendation (seven questions). Results: : 17 of the 24 units (72%) returned the questionnaire. Adherence to grade IA recommendations was 69 ± 34%, with five units (29%) showing a 80% adherence. Adherence to grade IB and II was 65 ± 26% and 71 ± 28%, respectively. Adherence did not vary significantly depending on the evidence of the recommendation, i.e., grade IA, IB or II (p = 0.72). Low adherence levels to grade I recommendations were observed on hair removal: (1) it was performed systematically in all male patients (0% adherence), (2) it was performed on the morning of the intervention in 29% of centers, and (3) the method of hair removal was adequate in 41% of cases. Despite 94% of units having written guidelines on antibiotic prophylaxis, only 65% administered antibiotic prophylaxis with the correct timing - i.e., on anesthesia induction. Conclusions: : Adherence to CDC SSI guidelines in Italy is fair. The evidence of the recommendation does not influence adherence. Organizational improvements, especially those regarding hair removal and the timing of antibiotic prophylaxis, should be implemented in most hospitals. © 2009 Springer

Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study

Background Optical diagnosis of colonic polyps is poorly reproducible outside of high volume referral centers. The present study aimed to assess whether real-time artificial intelligence (AI)-assisted optical diagnosis is accurate enough to implement the leave-in-situ strategy for diminutive (≤ 5 mm) rectosigmoid polyps (DRSPs). Methods Consecutive colonoscopy outpatients with ≥ 1 DRSP were included. DRSPs were categorized as adenomas or nonadenomas by the endoscopists, who had differing expertise in optical diagnosis, with the assistance of a real-time AI system (CAD-EYE). The primary end point was ≥ 90 % negative predictive value (NPV) for adenomatous histology in high confidence AI-assisted optical diagnosis of DRSPs (Preservation and Incorporation of Valuable endoscopic Innovations [PIVI-1] threshold), with histopathology as the reference standard. The agreement between optical- and histology-based post-polypectomy surveillance intervals (≥ 90 %; PIVI-2 threshold) was also calculated according to European Society of Gastrointestinal Endoscopy (ESGE) and United States Multi-Society Task Force (USMSTF) guidelines. Results Overall 596 DRSPs were retrieved for histology in 389 patients; an AI-assisted high confidence optical diagnosis was made in 92.3 %. The NPV of AI-assisted optical diagnosis for DRSPs (PIVI-1) was 91.0 % (95 %CI 87.1 %-93.9 %). The PIVI-2 threshold was met with 97.4 % (95 %CI 95.7 %-98.9 %) and 92.6 % (95 %CI 90.0 %-95.2 %) of patients according to ESGE and USMSTF, respectively. AI-assisted optical diagnosis accuracy was significantly lower for nonexperts (82.3 %, 95 %CI 76.4 %-87.3 %) than for experts (91.9 %, 95 %CI 88.5 %-94.5 %); however, nonexperts quickly approached the performance levels of experts over time. Conclusion AI-assisted optical diagnosis matches the required PIVI thresholds. This does not however offset the need for endoscopistsʼ high level confidence and expertise. The AI system seems to be useful, especially for nonexperts