Systemic Inflammation Response Index (SIRI) and Monocyte-to-Lymphocyte Ratio (MLR) Are Predictors of Good Outcomes in Surgical Treatment of Periprosthetic Joint Infections of Lower Limbs: A Single-Center Retrospective Analysis.

BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication that develops after total joint arthroplasty (TJA), whose incidence is expected to increase over the years. Traditionally, surgical treatment of PJI has been based on algorithms, where early infections are preferably treated with debridement, antibiotics, and implant retention (DAIR) and late infections with two-stage revision surgery. Two-stage revision is considered the "gold standard" for treatment of chronic prosthetic joint infection (PJI) as it enables local delivery of antibiotics, maintenance of limb-length and mobility, and easier reimplantation. Many studies have attempted to identify potential predicting factors for early diagnosis of PJI, but its management remains challenging. In this observational retrospective study, we investigated the potential role of inflammatory blood markers (neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII), systemic inflammatory response index (SIRI), and aggregate index of systemic inflammation (AISI)) as prognostic factors in two-stage exchange arthroplasty for PJI. METHODS: A single-center retrospective analysis was conducted, collecting clinical data and laboratory parameters from patients submitted to prosthetic explantation (EP) for chronic PJI. Laboratory parameters (PCR, NLR, MLR, PLR, SIRI, SII, and AISI) were evaluated at the explantation time; at 4, 6, and 8 weeks after surgery; and at reimplantation time. The correlation between laboratory parameters and surgery success was evaluated and defined as infection absence/resolution at the last follow-up. RESULTS: A total of 57 patients with PJI were evaluated (62% males; average age 70 years, SD 12.14). Fifty-three patients with chronic PJI were included. Nine patients underwent DAIR revision surgery and chronic suppressive therapy; two patients died. Nineteen patients completed the two-stage revision process (prosthetic removal, spacer placement, and subsequent replanting). Among them, none showed signs of reinfection or persistence of infection at the last available follow-up. The other twenty-three patients did not replant due to persistent infection: among them, some (the most) underwent spacer retention; others (fewer in number) were submitted to resection arthroplasty and arthrodesis (Girdlestone technique) or chronic suppressive antibiotic therapy; the remaining were, over time, lost to follow-up. Of the patients who concluded the two-stage revision, the ones with high SIRI values (mean 3.08 SD 1.7 and p-value 0.04) and MLR values (mean 0.4 SD 0.2 and p-value 0.02) at the explantation time were associated with a higher probability of infection resolution. Moreover, higher variation in the SIRI and PCR, also defined, respectively, as delta-SIRI (mean -2.3 SD 1.8 and p-value 0.03) and delta-PCR (mean -46 SD 35.7 and p-value 0.03), were associated with favorable outcomes. CONCLUSIONS: The results of our study suggest that, in patients with PJI undergoing EP, the SIRI and MLR values and delta-SIRI and delta-PCR values could be predictive of a favorable outcome. The evaluation of these laboratory indices, especially their determination at 4 weeks after removal, could therefore help to determine which patients could be successfully replanted and to identify the best time to replant. More studies analyzing a wider cohort of patients with chronic PJI are needed to validate the promising results of this study.

Can Chatbot Artificial Intelligence Replace Infectious Diseases Physicians in the Management of Bloodstream Infections? A Prospective Cohort Study.

BACKGROUND: The development of chatbot artificial intelligence (AI) has raised major questions about their use in healthcare. We assessed the quality and safety of the management suggested by Chat Generative Pre-training Transformer 4 (ChatGPT-4) in real-life practice for patients with positive blood cultures. METHODS: Over a 4-week period in a tertiary care hospital, data from consecutive infectious diseases (ID) consultations for a first positive blood culture were prospectively provided to ChatGPT-4. Data were requested to propose a comprehensive management plan (suspected/confirmed diagnosis, workup, antibiotic therapy, source control, follow-up). We compared the management plan suggested by ChatGPT-4 with the plan suggested by ID consultants based on literature and guidelines. Comparisons were performed by 2 ID physicians not involved in patient management. RESULTS: Forty-four cases with a first episode of positive blood culture were included. ChatGPT-4 provided detailed and well-written responses in all cases. AI's diagnoses were identical to those of the consultant in 26 (59%) cases. Suggested diagnostic workups were satisfactory (ie, no missing important diagnostic tests) in 35 (80%) cases; empirical antimicrobial therapies were adequate in 28 (64%) cases and harmful in 1 (2%). Source control plans were inadequate in 4 (9%) cases. Definitive antibiotic therapies were optimal in 16 (36%) patients and harmful in 2 (5%). Overall, management plans were considered optimal in only 1 patient, as satisfactory in 17 (39%), and as harmful in 7 (16%). CONCLUSIONS: The use of ChatGPT-4 without consultant input remains hazardous when seeking expert medical advice in 2023, especially for severe IDs.

The role of long-acting antibiotics in the clinical practice: a narrative review.

Introduction: The increasing emergence of bacterial strains with new resistance determinants has become a threat to current antibiotic therapies in recent years. This has prompted research for innovative options with improved efficacy and safety profiles: long-acting glycopeptides, such as dalbavancin and oritavancin, are currently approved for the treatment of acute bacterial skin and skin structure infections (ABSSSI). Their efficacy, microbiological profile, and ease of administration may provide an answer to this challenge, as well as reducing length of stay and hospital costs. This narrative review aims to explore the current evidence on the real-word use of dalbavancin and oritavancin, in labelled and off-label indications in clinical practice. Methods: A PubMed library database search with no time limits was performed using the following terms: long-acting antibiotics, dalbavancin, oritavancin. Discussion: Registration studies confirmed non-inferiority of long-acting glycopeptides to standard of care in ABSSSI (dalbavancin DISCOVER 1 and 2: 79.7% clinical success in the dalbavancin group and 79.8% in the vancomycin-linezolid group; oritavancin SOLO I: 82,3% clinical success in the oritavancin group versus 78,9% for the vancomycin group; SOLO II: 80,1% clinical success versus 82,9%). Large cohorts have confirmed similar success rates in ABSSSI treatment in real-world practice. Evidence for off-label indications is still rather scarce but promising, especially in bone and joint infections therapy for both dalbavancin and oritavancin, and infective endocarditis for dalbavancin. Moreover, these drugs may have their place in non-adherent patients, in setting of addition or difficult access to healthcare. Another potential use of these drugs is in patients with oral intake impairment or reduced gastro-intestinal absorption. However, the low penetration in cerebrospinal fluid of dalbavancin and the unfavourable outcomes in the only case report of oritavancin treatment in human meningitis despite encouraging animal models would seem to make these molecules unsuitable for central nervous system infection therapy. Most of the available evidence is based on small retrospective cohorts, so robust prospective studies investigating off-label indications are needed.

Moral injury in a global health emergency: a validation study of the Italian version of the Moral Injury Events Scale adjusted to the healthcare setting.

Background: When exposed to events that transgress one's moral beliefs, a plethora of negative consequences may follow, which are captured by the concept of moral injury (MI). Despite its relevance to experiences of healthcare workers during a global health emergency, there is lack of validated MI instruments adapted to the healthcare setting.Objective: The present study aims to provide a validation of the Italian version of the Moral Injury Events Scale (MIES) adjusted to the healthcare setting by assessing its factor structure, internal consistency and construct validity.Methods: A sample of 794 healthcare workers (46% nurses, 51% female) engaged in hospital facilities during the COVID-19 pandemic in Italy completed measures of MI, PTSD, anxiety, depression, burnout, meaning in life and positive affect.Results: Using an exploratory structural equation modelling (ESEM) we assessed the scale factor structure for the entire sample and separately for nurse professional and female healthcare worker groups. Findings support a three-factor solution: Factor 1 'perceived transgressions by others'; Factor 2 'perceived transgressions by self'; and Factor 3 'perceived betrayals by others'. Findings also indicate some level of convergence with measures of PTSD, anxiety, depression and burnout.Conclusion: Results suggest that the MIES may be useful in capturing unique experiences of moral injury amongst healthcare workers engaged in a global health emergency. The low range correlations with measures of psychological distress might potentially indicate that MI, which captures cognitive value judgements rather than manifest symptomatology, may uniquely explain a certain amount of variance. Implications for the development of new empirically derived and theoretical guided tools are discussed, highlighting the need for future research to examine the role of individualising and social binding moral principles in gaining a more nuanced understanding of moral injury experiences amongst healthcare professionals across different socio-cultural settings.

The Italian validation of the MIES adapted to the healthcare setting yielded a three-factor structure: (a) 'perceived transgressions by self'; (b) 'perceived transgressions by others'; (c) 'perceived betrayals by others'.Findings suggest that the MIES may be useful in capturing unique experiences of moral injury amongst healthcare workers engaged in a global health emergency.Future research should consider the role of individualising and social binding moral principles in shaping moral injury experiences among healthcare professionals across different socio-cultural settings.

The Hidden Cost of COVID-19: Focus on Antimicrobial Resistance in Bloodstream Infections.

Antibiotic resistance is one of the greatest growing public health threats and a worldwide priority. According to the WHO, drug-resistant diseases may cause 10 million deaths a year by 2050 and have a substantial impact on the global economy, driving up to 24 million people into poverty. The ongoing COVID-19 pandemic has exposed the fallacies and vulnerability of healthcare systems worldwide, displacing resources from existing programs and reducing funding for antimicrobial resistance (AMR) fighting efforts. Moreover, as already seen for other respiratory viruses, such as flu, COVID-19 is often associated with superinfections, prolonged hospital stays, and increased ICU admissions, further aggravating healthcare disruption. These events are accompanied by widespread antibiotic use, misuse, and inappropriate compliance with standard procedures with a potential long-term impact on AMR. Still, COVID-19-related measures such as increasing personal and environmental hygiene, social distancing, and decreasing hospital admissions could theoretically help the AMR cause. However, several reports have shown increased antimicrobial resistance during the COVID-19 pandemic. This narrative review focuses on this "twindemic", assessing the current knowledge of antimicrobial resistance in the COVID-19 era with a focus on bloodstream infections and provides insights into the lessons learned in the COVID-19 field that could be applied to antimicrobial stewardship initiatives.

Social media as a tool for scientific updating at the time of COVID pandemic: Results from a national survey in Italy.

In the face of the rapid evolution of the COVID-19 pandemic, healthcare professionals on the frontline are in urgent need of frequent updates in the accomplishment of their practice. Hence, clinicians started to search for prompt, valid information on sources that are parallel to academic journals. Aim of this work is to investigate the extent of this phenomenon. We administered an anonymous online cross-sectional survey to 645 Italian clinicians. Target of the survey were all medical figures potentially involved in the management of COVID-19 cases. 369 questionnaires were returned. 19.5% (n = 72) of respondents were younger than 30 years-old; 49,3% (n = 182) worked in Infectious Diseases, Internal Medicine or Respiratory Medicine departments, 11.5% (n = 42) in Intensive Care Unit and 7.4% (n = 27) were general practitioner. 70% (n = 261) of respondents reported that their use of social media to seek medical information increased during the pandemic. 39.3% (n = 145) consistently consulted Facebook groups and 53.1% (n = 196) Whatsapp chats. 47% (n = 174) of respondents reported that information shared on social media had a consistent impact on their daily practice. In the present study, we found no difference in social media usage between age groups or medical specialties. Given the urgent need for scientific update during the present pandemic, these findings may help understanding how clinicians access new evidences and implement them in their daily practice.