Explore the vast range of titles available.

Prosthetic joint infections (PJI) represent one of the major problems in orthopedic prosthetic surgery. The incidence of PJIs varies according to the site of intervention, and different published case studies report occurrence at 0.5 to 3.0% in the event of first implants, with a significant greater risk in the case of prosthesis revisions. The diagnosis of prosthetic infections is seldom simple, needing a multi-specialist approach, which includes the accurate collection of patient anamnesis, its clinical evaluation, the evaluation of inflammation biomarkers, and the use of imaging techniques. It is essential to identify the bacteria responsible for the infection not only for an accurate diagnosis, but also to select the correct antibiotic treatment. Failure to identify the bacteria involved makes it impossible to establish targeted systemic antibiotic therapy. In developed countries such as Italy, the right to health is guaranteed by the Constitution, where the institutions that provide health services must be staffed by a team of medical professionals that can guarantee the safest possible health pathways. Risk management represents the set of actions aimed at improving the quality of the care provided, the adherence to guidelines and good care practices with the final objective of guaranteeing patients’ safety. All hospitals, including the ones where prosthetic orthopedic surgery is performed, must adopt clinical risk management procedures which, through prospective tools aimed at preventing errors and complications and by retrospective methods, permit the identification of critical points in the different phases of the process and propose actions for improvement. The constant increase in litigation for malpractice in Western countries, especially in Italy, calls for special attention to the problem of PJIs and the in-depth assessment of medico-legal problems, also considering the new legislative initiatives in the field of medical malpractice. Hospitals need to tackle the onset of PJIs in a transparent and linear fashion by constantly informing the patient on their progress.HighlightsProsthetic joint infections (PJI) represent one of the major problems in orthopedic prosthetic surgery.The diagnosis of prosthetic infections requires a multispecialist approach, from accurate anamnestic collection, to clinical evaluation and biomarkers of inflammation, to the use of imaging techniques.The identification of the bacteria responsible for the infection is essential for the timely diagnostic setting and the correct antibiotic treatment.Risk management procedures, adherence to guidelines and good care practices, to prevent errors and complications.

Infertility is a global health issue affecting women and men of reproductive age with increasing incidence worldwide, in part due to greater awareness and better diagnosis. Assisted reproduction technologies (ART) are considered the ultimate step in the treatment of infertility. Recently, artificial intelligence (AI) has been progressively used in the many fields of medicine, integrating knowledge and computer science through machine learning algorithms. AI has the potential to improve infertility diagnosis and ART outcomes estimated as pregnancy and/or live birth rate, especially with recurrent ART failure. A broad-ranging review has been conducted, focusing on clinical AI applications up until September 2022, which could be estimated in terms of possible applications, such as ultrasound monitoring of folliculogenesis, endometrial receptivity, embryo selection based on quality and viability, and prediction of post implantation embryo development, in order to eliminate potential contributing risk factors. Oocyte morphology assessment is highly relevant in terms of successful fertilization rate, as well as during oocyte freezing for fertility preservation, and substantially valuable in oocyte donation cycles. AI has great implications in the assessment of male infertility, with computerised semen analysis systems already in use and a broad spectrum of possible AI-based applications in environmental and lifestyle evaluation to predict semen quality. In addition, considerable progress has been made in terms of harnessing AI in cases of idiopathic infertility, to improve the stratification of infertile/fertile couples based on their biological and clinical signatures. With AI as a very powerful tool of the future, our review is meant to summarise current AI applications and investigations in contemporary reproduction medicine, mainly focusing on the nonsurgical aspects of it; in addition, the authors have briefly explored the frames of reference and guiding principles for the definition and implementation of legal, regulatory, and ethical standards for AI in healthcare.

The institution of the nursing assistant (NA) profile in Italy, established by the Decree 28 February 2025 responds to the chronic shortage of healthcare personnel, especially in nursing. This figure, non-healthcare but trained to perform basic healthcare tasks, aims to support nurses and ensure continuity of care, especially in community and long-term care settings, through further nursing activities delegation. The model aligns with international practices, emphasizing delegation within multiprofessional teams, based on formalized protocols and continuous on-site training, within standardized, low-discretion contexts. The delegation of health activities, however, presents legal and medico-legal challenges regarding scope of practice and supervision. The aim of this paper is critically discussing delegation of health activities to non-healthcare providers and the related issues of liability in team-based delivery of care, considering the specific regulatory setting of health providers in Italy. Critical activities such as nutrition and hydration, in particular artificially, and drug administration highlight the limits of delegation and the ongoing need for professional nurse oversight. In pre-hospital emergency care, standardized, protocol-based systems and simulation-based training successfully integrate non-healthcare personnel within the health team. Conversely, chronic and long-term care remain fragmented, lacking organizational maturity, regular supervision, and uniform regulation. The decree represents a step toward structured team-based care, but its success depends on robust governance, protocol clarity, organizational guidelines, and sustained practice-based education to prevent unsafe delegation and unauthorized practice.

This paper focuses on the lack of explainability that afflicts machine-learning-based AI systems applied in the field of healthcare. After a brief introduction to the topic, from both a technical and legal point of view, this work aims to assess the main consequences that the lack of explainability has on the human-machine relationship in clinical care, through a practical perspective. It then questions whether explainability is truly an objective worth seeking and, if so, to what extent, taking into account the current possible solutions.

Following isotonitazene scheduling in 2019, the availability of alternative 2-benzylbenzimidazole opioids (nitazenes) on the global drug market increased, resulting in many fatalities worldwide. Nitazenes are potent µ-opioid receptor agonists with strong narcotic/analgesic effects, and their concentrations in biological matrices are low, making the detection of metabolite biomarkers of consumption crucial to document use in clinical and forensic settings. However, there is little to no data on the metabolism of the most recently available nitazenes, especially desnitro-analogues. The aim of the research was to assess isotonitazene, metonitazene, etodesnitazene, and metodesnitazene human metabolism and identify specific metabolite biomarkers of consumption. The four analogues were incubated with 10-donor-pooled human hepatocytes, and the incubates were analyzed by liquid chromatography-high-resolution tandem mass spectrometry and data mining with Compound Discoverer (Thermo Scientific); the analysis was supported by in silico metabolite predictions with GLORYx open-access software. Metabolites were identified in postmortem blood and/or urine samples from two metonitazene-positive and three etodesnitazene-positive cases following the same workflow, with and without glucuronide hydrolysis in urine, to confirm in vitro results. Twelve, nine, twenty-two, and ten metabolites were identified for isotonitazene, metonitazene, etodesnitazene, and metodesnitazene, respectively. The main transformations were N-deethylation at the N,N-diethylethanamine side chain, O-dealkylation, and further O-glucuronidation. In vitro and autopsy results were consistent, demonstrating the efficacy of the 10-donor-pooled human hepatocyte model to predict human metabolism. We suggest the parent and the corresponding O-dealkyl- and N-deethyl-O-dealkyl metabolites as biomarkers of exposure in urine after glucuronide hydrolysis, and the corresponding N-deethyl metabolite as additional biomarker in blood.

In recent years, the growing use of ART (assisted reproductive techniques) has led to a progressive improvement of protocols; embryo freezing is certainly one of the most important innovations. This technique is selectively offered as a tailored approach to reduce the incidence of multiple pregnancies and, most importantly, to lower the risk of developing ovarian hyperstimulation syndrome when used in conjunction with an ovulation-triggering GnRH antagonist. The increase in transfer cycles with frozen embryos made it possible to study the effects of the technique in children thus conceived. Particularly noteworthy is the increase in macrosomal and LGA (large for gestational age) newborns, in addition to a decrease in SGA (small for gestational age) and LBW (low birth weight) newborns. The authors aimed to outline a broad-ranging narrative review by summarizing and elaborating on the most important evidence regarding the neonatal outcome of children born from frozen embryos and provide information on the medium and long-term follow- up of these children. However, given the relatively recent large-scale implementation of such techniques, further studies are needed to provide more conclusive evidence on outcomes and implications.

Cannabis sativa L., subsp. ruderalis Janish., ‘Finola’ is a dioecious cultivar of Finnish origin. This cultivar is very interesting because its cultivation cycle lasts less than 3 months. The aim of this study was to define an efficient micropropagation protocol to ensure in vitro multiplication and rooting and in vivo acclimatization. Two different explant sources were tested: seed-derived in vitro explants and nodal segments containing axillary buds from selected mother plants. Shoot proliferation was tested on different growth media enriched with cytokinin alone or cytokinin in combination with auxins. Among all combinations, the best results were obtained by combining the Basal Medium (BM—a Murashige and Skoog modified medium) with sucrose (20 g L−1), thidiazuron (TDZ 0.4 mg L−1), and 1-naphthalenacetic acid (NAA 0.2 mg L−1). Regarding rooting induction, the plants developed an extensive root system under red/blue lights on BM enriched with sucrose (30 g L−1) and indol-3 butyric acid (0.1 mg L−1), which allowed the survival of more than 90 percent of the plantlets once transplanted into the climate-controlled greenhouse.

PurposeTo conduct a rigorous assessment of in-hospital morbidity after urethroplasty according with the European Association of Urology (EAU) guidelines for complication reporting.MethodsWe retrospectively (2015–2019) identified 469 consecutive patients receiving urethroplasty (e.g. bulbar urethroplasty with grafts, penile urethroplasty with/without grafts/flaps, Johanson, de novo or revision perineostomy, end-to-end anastomosis, meatoplasty and/or meatotomy) at our tertiary care institution. Complications were graded with Clavien–Dindo score and Comprehensive Complication Index (CCI). Complications were classified in: bleeding no gastrointestinal, cardiac, gastrointestinal, genitourinary, infectious, neurological, oral, wound, miscellaneous, and pulmonary. Logistic regression tested for predictors of in-hospital complications and prolonged hospitalization (> 75th percentile). Kaplan–Meier and Cox regression investigated the effect of complications on failure after urethroplasty.ResultsOverall, 161 (34.3%) patients experienced at least one complication. Of those, 47 (10%) experienced two or more complications and 59 (12.6%) experienced at least one Clavien–Dindo ≥ II complication. Only two patients had Clavien–Dindo III complications. Infectious was the most frequent complication, and de novo or revision perineostomy was associated with the highest rate of complications. The occurrence of any complications, as well as complication with Clavien–Dindo ≥ II were associated with prolonged hospitalizations, but not with higher rates of post-urethroplasty failure.ConclusionsComplications after urethroplasty were common events, but rarely with severe sequelae. Infectious were the most common complications and perineostomy was the type of urethroplasty with the highest rate of complications. The application of the EAU recommendations allowed the identifications of a higher number of complications after urethroplasty if compared with previous reports based on unsupervised chart review.

BackgroundThe purpose of this work is to characterize the anatomy of the intraarticular portion of the long head of the biceps tendon (long head biceps tendon) using magnetic resonance (MR) arthrography by investigating whether anatomical variants may facilitate the onset of a supraequatorial lesion (superior labral anterior to posterior, SLAP).Materials and methodsIn 482 shoulder MR arthrographies, we considered the anatomical variants of the intraarticular portion of the long head of the biceps tendon classified according to Dierickx’s arthroscopic classification; lesions of supraequatorial structures were considered in the data analysis. For each anatomical variant, correlation with SLAP and the odd ratio were statistically evaluated, using Fisher’s exact (or chi-squared) test and logistic regression analysis, respectively.ResultsIn the mesotenon-type variant, the SLAP frequency was higher than expected [χ2 (df = 4) = 14.9, p = 0.005] with a higher risk of developing a type I SLAP (p = 0.0003). In the adherent-type variant, the type II SLAP frequency was higher than expected [χ2 (df = 3) = 18.1, p = 0.0004] with a higher risk of developing type II SLAP (p = 0.0001). Two cases of “split” (SPL) long head biceps tendon had III and type IV SLAP, respectively. These patients have a higher risk for type IV SLAP [odds ratio (OR) 19.562, 95% confidence interval (CI) 1.604–238.541, p = 0.001]. An increased risk of developing SLAP type II was calculated for male subjects (OR 3.479, 95% CI 1.013–11.951, p = 0.019).ConclusionsIt is possible that adherence of the long head biceps tendon to the supraspinatus more often predisposes to a lesion of the superior glenoid labrum (SLAP), in view of the close relationships between the fibrocartilage and the bicipital anchor, probably related to the limited excursion of the intraarticular long head biceps tendon.HighlightsAnatomical variants of the intraarticular portion of the long head of the biceps tendon should be studied with MR arthrography.Some anatomical variants are more frequently associated with supraequatorial lesions.The higher frequency of lesions in the presence of certain anatomical variants is probably related to the limited excursion of the intraarticular long head biceps tendon.

PurposeThe current literature regarding the effect of blood loss (eBL) after nephron-sparing surgery (NSS) on long-term renal function is scarce. We tested the effect of eBL on the risk of developing chronic kidney disease (CKD) after NSS.MethodsWithin an institutional prospectively maintained database, we identified 215 patients treated with NSS for cT1N0M0 renal mass at one European high-volume center. Multivariable logistic regression models tested the effect of eBL on the risk of developing CKD, after accounting for surgical complexity, individual clinical characteristics, and surgical experience. Multivariable linear regression models identified predictors of eBL.ResultsAfter a median follow-up of 36 months, 55 (25.6%) patients experienced CKD after surgery. At multivariable analyses, eBL independently predicted higher risk of CKD after NSS (odds ratio [OR]: 1.16; 95% confidence intervals [CI] 1.04–1.30; p < 0.01). Specifically, the relationship between eBL and probability of CKD emerged as nonlinear, with a plateau from 0 to 500 mL of eBL and an increase afterward. When multivariable linear regression analyses investigated predictors of eBL, hypertension (Est: 127, 95% CI 12–242; p = 0.03), clinical size (Est: 47, 95% CI 7–87; p = 0.02), and PADUA score (Est: 42; 95% CI 4–80 p = 0.03) achieved independent predictor status for higher intraoperative eBL. Conversely, surgical experience was associated with lower eBL (p = 0.01).ConclusionsIntraoperative bleeding is independently associated with the risk of developing CKD after surgery, even after adjustment for well-known predictors of renal failure and tumor complexity. Hence, strategies aimed at maximally reducing such adverse events deserve special consideration.