Search Results (19)

Background: Asymptomatic bacteriuria (ASB) is frequently overtreated in emergency departments (EDs), contributing to antimicrobial resistance without improving clinical outcomes. The rapid pace of clinical decision-making and high patient turnover in the ED further predispose clinicians to unnecessary antibiotic prescribing. Methods: A quasi-experimental study was conducted in the ED of a tertiary hospital in Barcelona, Spain, from January 2024 to September 2025. The intervention included targeted education for ED staff and daily audit-feedback on antibiotic prescriptions for suspected ASB. The outcomes were the following variables, compared between study periods: cases of ASB with unnecessary antibiotic treatment per month, antimicrobial consumption, urine culture (UC) requests, 30-day return visits to the ED for urinary tract infection, and 30-day all-cause mortality for safety assessment. Results: A total of 93 patients with suspected ASB in the pre-intervention period and 102 patients in the intervention period were included. The median cases of ASB with unnecessary antibiotic treatment per month decrease from 19 (IQR 16–26) in the pre-intervention period to 9 (IQR 9–13) in the intervention period (p = 0.018). Antimicrobial consumption declined: meropenem and imipenem decreased from 5.5 to 3.0 DDD/1000 admissions, ertapenem from 5.6 to 3.1, and ceftriaxone from 35.0 to 24.1. UC requests fell by 16.1%. Clinical safety outcomes did not differ significantly between periods: 30-day return visit to the ED for UTI with the same isolate dropped from 8.6% to 1.9% (p = 0.076), overall UTI return visits to the ED dropped from 11.8% to 5.9% (p = 0.225), and 30-day mortality remained stable (8.6% vs. 4.9%, p = 0.455). Conclusions: These findings support the use of combined educational and audit–feedback strategies as effective and safe Antimicrobial Stewardship interventions in high-intensity clinical environments such as the ED, as they reduce inappropriate antibiotic use and unnecessary UC requests without compromising patient safety. Full article

Background: Healthcare burnout is pervasive, necessitating more efforts to reduce it. Objective: To evaluate the effectiveness of well-being leadership training in reducing healthcare burnout. Design: The Clinician Wellness Council (CWC) leadership training consisted of 15 months of educational and small group sessions (September 2023–November 2024) with pre–post-training burnout survey comparison. Setting: Primary and specialty departments across a Pacific Northwest community-based hospital system. Participants comprised 22 clinicians from primary and specialty departments. Participants identified an intervention group where they would focus their leadership efforts. Those groups contained 549 clinicians, and 5439 non-intervention clinicians were controls. Intervention: Well-being leadership training. Measures: The Maslach Burnout Inventory (MBI) and the turnover intent questions before and after training. Results: Of the 22 CWC participants, 15 (68%) completed the surveys before and after training. Burnout reduction was seen (47% to 13%; p = 0.0253), primarily driven by decreased emotional exhaustion (EE). Among 549 intervention group clinicians, 173 completed both surveys compared to 359 of 5439 clinicians in the control group. Intervention practitioners (N = 173) showed reductions in EE items (e.g., feeling burnout, working too hard, working with people is stressful) and turnover intent. Multivariable regression analyses showed that EE reductions were associated with co-workers’ intent to leave. Limitations: We obtained pre- and post-training MBI measures on a subset of the intervention group co-workers rather than a majority. Conclusions: Participation in a well-being leadership training program consisting of education, coaching, and community building reduced burnout, increased confidence to improve their workplace, and their leadership decreased co-worker EE and turnover intent. This training creates a blueprint for reducing burnout in clinician leaders and co-workers. Primary Funding Source: A PPMC foundation grant sponsored 10 local participants. Central division funding came from system and local funds. Participants received $1000/month training reimbursement. Full article

Secondary hyperparathyroidism (SHPT) in chronic kidney disease often necessitates parathyroidectomy (PTX), but this definitive treatment can precipitate hungry bone syndrome (HBS)—a profound, prolonged hypocalcemia caused by the rapid skeletal uptake of minerals after surgery. HBS results from the abrupt cessation of parathyroid hormone (PTH)-driven bone resorption while bone formation continues, leading to intensive mineral deposition (mainly calcium) into chronically demineralized bone. Clinically, HBS ranges from asymptomatic biochemical disturbances to life-threatening hypocalcemia with tetany, seizures, and/or cardiac arrhythmias. This illustrative review synthesizes current knowledge of HBS pathogenesis and management in the context of SHPT. We detail how the high-turnover bone remodeling state of SHPT (osteitis fibrosa cystica) creates an expansive unmineralized osteoid pool that avidly mineralizes post-PTX. We also explore molecular mechanisms (e.g., RANKL/OPG dysregulation, Wnt/β-catenin activation, osteocyte-driven signals, and calcium-sensing receptor effects) that underpin this process. Key preoperative risk factors for HBS include very elevated PTH and alkaline phosphatase levels, large skeletal calcium deficits, younger patient age, and total PTX. We outline the typical postoperative course of HBS, phased from immediate acute hypocalcemia to a nadir and gradual recovery. Prevention and management strategies are emphasized, centered on vigilant monitoring and aggressive calcium and calcitriol supplementation, with preoperative optimization (e.g., vitamin D loading, calcimimetics) to mitigate severity. By enhancing risk stratification and perioperative care, clinicians can improve outcomes and safely navigate patients through this challenging complication of endocrine surgery. Full article

Musculoskeletal (MSK) disorders remain a major global cause of disability, with diagnostic complexity arising from their heterogeneous presentation and multifactorial pathophysiology. Recent advances across imaging modalities, molecular biomarkers, artificial intelligence applications, and point-of-care technologies are fundamentally reshaping musculoskeletal diagnostics. This review offers a novel synthesis by unifying recent innovations across multiple diagnostic imaging modalities, such as CT, MRI, and ultrasound, with emerging biochemical, genetic, and digital technologies. While existing reviews typically focus on advances within a single modality or for specific MSK conditions, this paper integrates a broad spectrum of developments to highlight how use of multimodal diagnostic strategies in combination can improve disease detection, stratification, and clinical decision-making in real-world settings. Technological developments in imaging, including photon-counting detector computed tomography, quantitative magnetic resonance imaging, and four-dimensional computed tomography, have enhanced the ability to visualize structural and dynamic musculoskeletal abnormalities with greater precision. Molecular imaging and biochemical markers such as CTX-II (C-terminal cross-linked telopeptides of type II collagen) and PINP (procollagen type I N-propeptide) provide early, objective indicators of tissue degeneration and bone turnover, while genetic and epigenetic profiling can elucidate individual patterns of susceptibility. Point-of-care ultrasound and portable diagnostic devices have expanded real-time imaging and functional assessment capabilities across diverse clinical settings. Artificial intelligence and machine learning algorithms now automate image interpretation, predict clinical outcomes, and enhance clinical decision support, complementing conventional clinical evaluations. Wearable sensors and mobile health technologies extend continuous monitoring beyond traditional healthcare environments, generating real-world data critical for dynamic disease management. However, standardization of diagnostic protocols, rigorous validation of novel methodologies, and thoughtful integration of multimodal data remain essential for translating technological advances into improved patient outcomes. Despite these advances, several key limitations constrain widespread clinical adoption. Imaging modalities lack standardized acquisition protocols and reference values, making cross-site comparison and clinical interpretation difficult. AI-driven diagnostic tools often suffer from limited external validation and transparency (“black-box” models), impacting clinicians’ trust and hindering regulatory approval. Molecular markers like CTX-II and PINP, though promising, show variability due to diurnal fluctuations and comorbid conditions, complicating their use in routine monitoring. Integration of multimodal data, especially across imaging, omics, and wearable devices, remains technically and logistically complex, requiring robust data infrastructure and informatics expertise not yet widely available in MSK clinical practice. Furthermore, reimbursement models have not caught up with many of these innovations, limiting access in resource-constrained healthcare settings. As these fields converge, musculoskeletal diagnostics methods are poised to evolve into a more precise, personalized, and patient-centered discipline, driving meaningful improvements in musculoskeletal health worldwide. Full article

Background: Burnout among clinicians, including physicians, is a growing concern in healthcare. An overwhelming burden of clinical documentation is a significant contributor. While medical scribes have been employed to mitigate this burden, they have limitations such as cost, training needs, and high turnover rates. Artificial intelligence (AI) scribe systems can transcribe, summarize, and even interpret clinical conversations, offering a potential solution for improving clinician well-being. We aimed to evaluate the effectiveness of AI scribes in streamlining clinical documentation, with a focus on clinician experience, healthcare system efficiency, and patient engagement. Methods: We conducted a systematic review following Cochrane methods and PRISMA guidelines. Two reviewers conducted the selection process independently. Eligible intervention studies included quantitative and mixed-methods studies evaluating AI scribe systems. We summarized the data narratively. Results: Eight studies were included. AI scribes demonstrated positive effects on healthcare provider engagement, with users reporting increased involvement in their workflows. The documentation burden showed signs of improvement, as AI scribes helped alleviate the workload for some participants. Many clinicians have found AI systems to be user-friendly and intuitive, although some have expressed concerns about scribe training and documentation quality. A limited impact on reducing burnout was found, although documentation time improved in some studies. Conclusions: Most of the studies reported in this review involved small sample sizes and specific healthcare settings, limiting the generalizability of the findings to other contexts. Accuracy and consistency can vary significantly depending on the specific technology, model training data, and implementation approach. AI scribes show promise in improving documentation efficiency and clinician workflow, although the evidence remains limited and heterogeneous. Broader and real-world evaluations are needed to confirm their effectiveness and inform responsible implementations. Full article

The organizational culture significantly impacts employee behavior, satisfaction, and retention. Historically associated with hierarchical, fire-service-based structures, EMS cultures vary considerably, and their influence remains unclear. We aimed to identify organizational cultures within EMS agencies and examine their association with clinicians’ intent to leave within 12 months. We performed a cross-sectional survey of nationally certified civilian EMS clinicians aged 18–85 in the United States who recertified with the National Registry of Emergency Medical Technicians between October 2022 and April 2023. Respondents completed the validated Organizational Culture Assessment Instrument (OCAI), categorizing organizational cultures into adhocracy, clan, hierarchy, market, or mixed. Multivariable logistic regression evaluated the organizational culture and clinicians’ intention to leave, adjusting for personal demographics, workplace characteristics, and job satisfaction. In total, 30,762 survey respondents were included. Mixed and hierarchy cultures predominated, followed by clan, market, and adhocracy. Clinicians in adhocracy and hierarchy cultures had significantly higher adjusted odds of intending to leave EMS compared to clan and mixed. The organizational culture in EMS significantly influences clinicians’ intentions to leave. Adhocracy, hierarchy, and market cultures are associated with an increased likelihood of turnover, but clan-oriented environments do not increase risks. These findings suggest that optimizing EMS agency cultures towards collaboration and supportive environments may enhance clinician retention. Full article

Calcific uremic arteriolopathy, also known as calciphylaxis, is a rare and often fatal condition most commonly occurring in patients with end-stage renal disease (ESRD). It is marked by extensive vascular calcification, resulting in tissue ischemia and the development of distinctive skin lesions. We report the case of a 38-year-old male with ESRD due to polycystic kidney disease, who developed calciphylaxis lesions following total parathyroidectomy (PTx). We also performed an electronic search of PubMed and Google Scholar from inception until December 2024, using the following keywords: ‘chronic kidney disease’, ‘dialysis’, ‘calciphylaxis’, ‘calcific uremic arteriolopathy’, ‘secondary hyperparathyroidism’, and ‘parathyroidectomy’. A literature review of calciphylaxis cases following PTx in chronic kidney disease (CKD) patients identified 14 cases reported up to the manuscript’s writing. Although PTx can be a treatment option for calciphylaxis related to severe secondary hyperparathyroidism (SHPT), leading to clinical improvement in some patients, there are atypical calciphylaxis cases occurring after PTx. While the mechanism is not fully understood, the sudden reduction in parathormone (PTH) levels leading to hypocalcemia and decreased bone turnover, together with an increased calcium loading in a patient at risk for abnormal mineralization, may promote vascular and soft tissue calcification. However, the long-term impact of severe SHPT with a delayed post-PTx manifestation cannot be ruled out. Clinicians should consider calciphylaxis in CKD patients with new painful skin lesions. Skin biopsy remains controversial, but a thorough clinical examination, and, in some cases, imaging are essential for a correct diagnosis. A multidisciplinary, personalized approach is crucial, with careful management of post-PTx hypocalcemia and calcium supplementation. Further research is needed to enhance understanding and treatment strategies. Full article

Renal osteodystrophy (ROD) represents histological bone changes in patients with chronic kidney disease and is classified according to turnover and mineralization. This cross-sectional study evaluates several bone biomarkers and their ability to discriminate turnover and mineralization defects in hemodialysis (HD) patients. Bone-specific [BSAP] and total [tAP] alkaline phosphatase, procollagen-1 N-terminal propeptide [P1NP], C-terminal cross-linking telopeptide [CTX], intact [iPTH] and whole [wPTH] parathyroid hormone, sclerostin [SOST], fibroblast growth factor 23 [FGF-23], vitamin D, osteoprotegerin [OPG], and receptor activator of nuclear factor κB ligand [RANKL] were collected before the bone biopsy. Thirty-two patients were evaluated by bone histomorphometry, which identified mineralization defects and low and high turnover in 47%, 50%, and 41% of patients, respectively. Bone biomarkers (tAP, BSAP, CTX, P1NP) and hormones (iPTH, wPTH, and SOST) were capable of identifying low and high turnover (AUC > 0.877 and >0.857, respectively, p < 0.001). PTH plus AP had the best accuracy for identifying high turnover. BSAP > 2x, iPTH > 8x, and wPTH > 6x upper limit of normal range identified high turnover. Lower calcium values (Ca < 8.7 mg/dL) were correlated with mineralization defects. On the other hand, FGF-23, OPG, and RANKL did not impact the turnover and mineralization. While bone histomorphometry is not widely available, bone biomarkers such as BSAP, P1NP, PTH, and calcium allow the assessment of turnover and mineralization defects in HD patients. Then, using bone biomarkers may help clinicians define treatments for ROD and osteoporosis and monitor therapeutic response. Full article

Onychomycosis is a common fungal nail infection that is difficult to diagnose due to its similarity to other nail conditions. Accurate identification is essential for effective treatment. The current gold standard methods include microscopic examination with potassium hydroxide, fungal cultures, and Periodic acid-Schiff biopsy staining. These conventional techniques, however, suffer from high turnover times, variable sensitivity, reliance on human interpretation, and costs. This study examines the potential of integrating AI (artificial intelligence) with visualization tools like dermoscopy and microscopy to improve the accuracy and efficiency of onychomycosis diagnosis. AI algorithms can further improve the interpretation of these images. The review includes 14 studies from PubMed and IEEE databases published between 2010 and 2024, involving clinical and dermoscopic pictures, histopathology slides, and KOH microscopic images. Data extracted include study type, sample size, image assessment model, AI algorithms, test performance, and comparison with clinical diagnostics. Most studies show that AI models achieve an accuracy comparable to or better than clinicians, suggesting a promising role for AI in diagnosing onychomycosis. Nevertheless, the niche nature of the topic indicates a need for further research. Full article

Healthcare organizations face stubborn challenges in ensuring patient safety and mitigating clinician turnover. This paper aims to advance theory and research on patient safety by elucidating how the role of psychological safety in patient safety can be enhanced with joint problem-solving orientation (JPS). We hypothesized and tested for an interaction between JPS and psychological safety in relation to safety improvement, leveraging longitudinal survey data from a sample of 14,943 patient-facing healthcare workers. We found a moderation effect, in which psychological safety was positively associated with safety improvement, and the relationship was stronger in the presence of JPS. Psychological safety and JPS also interacted positively in predicting clinicians’ intent to stay with the organization. For theory and research, our findings point to JPS as a measurable factor that may enhance the value of psychological safety for patient safety improvement—perhaps because voiced concerns about patient safety often require joint problem-solving to produce meaningful change. For practice, our conceptual framework, viewing psychological safety and JPS as complementary factors, can help organizations adopt a more granular approach towards assessing the interpersonal aspect of their safety climate. This will enable organizations to obtain a more nuanced understanding of their safety climate and identify areas for improvement accordingly. Full article

Acute respiratory distress syndrome (ARDS) is a common and fatal disease, characterized by lung inflammation, edema, poor oxygenation, and the need for mechanical ventilation, or even extracorporeal membrane oxygenation if the patient is unresponsive to routine treatment. In this review, we aim to explore advances in biomarkers for the diagnosis and treatment of ARDS. In viewing the distinct characteristics of each biomarker, we classified the biomarkers into the following six categories: inflammatory, alveolar epithelial injury, endothelial injury, coagulation/fibrinolysis, extracellular matrix turnover, and oxidative stress biomarkers. In addition, we discussed the potential role of machine learning in identifying and utilizing these biomarkers and reviewed its clinical application. Despite the tremendous progress in biomarker research, there remain nonnegligible gaps between biomarker discovery and clinical utility. The challenges and future directions in ARDS research concern investigators as well as clinicians, underscoring the essentiality of continued investigation to improve diagnosis and treatment. Full article

Cellular purine nucleotides derive mainly from de novo synthesis or nucleic acid turnover and, only marginally, from dietary intake. They are subjected to catabolism, eventually forming uric acid in humans, while bases and nucleosides may be converted back to nucleotides through the salvage pathways. Inborn errors of the purine salvage pathway and catabolism have been described by several researchers and are usually referred to as rare diseases. Since purine compounds play a fundamental role, it is not surprising that their dysmetabolism is accompanied by devastating symptoms. Nevertheless, some of these manifestations are unexpected and, so far, have no explanation or therapy. Herein, we describe several known inborn errors of purine metabolism, highlighting their unexplained pathological aspects. Our intent is to offer new points of view on this topic and suggest diagnostic tools that may possibly indicate to clinicians that the inborn errors of purine metabolism may not be very rare diseases after all. Full article

It is now well established that maternal serum markers are often abnormal in fetal trisomy 21. Their determination is recommended for prenatal screening and pregnancy follow-up. However, mechanisms leading to abnormal maternal serum levels of such markers are still debated. Our objective was to help clinicians and scientists unravel the pathophysiology of these markers via a review of the main studies published in this field, both in vivo and in vitro, focusing on the six most widely used markers (hCG, its free subunit hCGβ, PAPP-A, AFP, uE3, and inhibin A) as well as cell-free feto–placental DNA. Analysis of the literature shows that mechanisms underlying each marker’s regulation are multiple and not necessarily directly linked with the supernumerary chromosome 21. The crucial involvement of the placenta is also highlighted, which could be defective in one or several of its functions (turnover and apoptosis, endocrine production, and feto–maternal exchanges and transfer). These defects were neither constant nor specific for trisomy 21, and might be more or less pronounced, reflecting a high variability in placental immaturity and alteration. This explains why maternal serum markers can lack both specificity and sensitivity, and are thus restricted to screening. Full article

Background and Objectives: The heart is the organ with the highest metabolic demand in the body, and it relies on high ATP turnover and efficient energy substrate utilisation in order to function normally. The derangement of myocardial energetics may lead to abnormalities in cardiac metabolism, which herald the symptoms of heart failure (HF). In addition, phosphorus magnetic resonance spectroscopy (³¹P MRS) is the only available non-invasive method that allows clinicians and researchers to evaluate the myocardial metabolic state in vivo. This review summarises the importance of myocardial energetics and provides a systematic review of all the available research studies utilising ³¹P MRS to evaluate patients with a range of cardiac pathologies. Materials and Methods: We have performed a systematic review of all available studies that used ³¹P MRS for the investigation of myocardial energetics in cardiovascular disease. Results: A systematic search of the Medline database, the Cochrane library, and Web of Science yielded 1092 results, out of which 62 studies were included in the systematic review. The ³¹P MRS has been used in numerous studies and has demonstrated that impaired myocardial energetics is often the beginning of pathological processes in several cardiac pathologies. Conclusions: The ³¹P MRS has become a valuable tool in the understanding of myocardial metabolic changes and their impact on the diagnosis, risk stratification, and prognosis of patients with cardiovascular diseases. Full article

Chondroitin sulfate (CS) proteoglycan 4 (CSPG4) is a cell surface proteoglycan that is currently under investigation as a marker of cancer malignancy, and as a potential target of anticancer drug treatment. CSPG4 acts as a driver of tumourigenesis by regulating turnover of the extracellular matrix (ECM) to promote tumour cell invasion, migration as well as inflammation and angiogenesis. While CSPG4 has been widely studied in certain malignancies, such as melanoma, evidence is emerging from global gene expression studies, which suggests a role for CSPG4 in squamous cell carcinoma (SCC). While relatively treatable, lack of widely agreed upon diagnostic markers for SCCs is problematic, especially for clinicians managing certain patients, including those who are aged or infirm, as well as those with underlying conditions such as epidermolysis bullosa (EB), for which a delayed diagnosis is likely lethal. In this review, we have discussed the structure of CSPG4, and quantitatively analysed CSPG4 expression in the tissues and pathologies where it has been identified to determine the usefulness of CSPG4 expression as a diagnostic marker and therapeutic target in management of malignant SCC. Full article