Citations

Abstract Background These recommendations address the empiric choice of antibiotics in suspected complicated urinary tract infection (cUTI). Issues to balance include the need for appropriate initial empiric antimicrobial therapy, the patient's severity of illness, and antimicrobial stewardship concerns. Methods The panel's recommendations are based upon evidence derived from systematic literature reviews that focused on comparative benefits and harms of classes of antibiotics approved for cUTI, starting with publications from 2008 onwards, and our review of predictors of resistance in uropathogens included references identified since 2000. These recommendations adhere to a standardized methodology for rating the certainty of evidence and strength of recommendation according to the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach. Results The guidelines panel suggests initially selecting among preferred empiric antibiotic choices rather than alternative options, stratified for the patient's severity of illness and antimicrobial stewardship considerations. When choosing among these antibiotics for a specific patient, the guideline panel suggests a 4-step process to account for changing resistance patterns and individualized patient needs. The steps are: (1) assess the severity of illness (for initial prioritization of antibiotics), (2) consider patient-specific risk factors for resistant uropathogens (for optimization of coverage), (3) evaluate other patient-specific considerations (to reduce the risk of adverse events), and (4) for patients with sepsis, consult a relevant local antibiogram if available (to further improve the likelihood of giving appropriate empiric therapy). Lastly, the guideline panel suggests selecting definitive effective therapy with a targeted spectrum based on the result of the urine culture. Conclusions Many of the classes of antibiotics approved to treat cUTI demonstrate similar efficacy as other classes of antibiotics in randomized controlled trials. Bacterial resistance prevalence is always changing, and new antibiotics will be developed. In this context, the guidelines panel provides recommendations for choosing empiric antibiotic therapy for cUTI that will help clinicians decide among available antibiotic options at the point of care.

Abstract Background Topical steroid withdrawal syndrome (TSW) is an adverse event following discontinuation of topical corticosteroids (TCS) and is of growing interest among patients and dermatologists. The absence of well-defined diagnostic criteria and limited insights into the pathomechanisms make diagnosis and future research challenging. Objectives To propose preliminary diagnostic criteria for TSW with the erythemato-oedematous subtype applicable for adult and paediatric populations using a Delphi consensus approach informed by a thorough literature review that summarizes the signs, symptoms and histology of TSW. Methods Eleven clinicians experienced in diagnosing and treating suspected TSW in both children and adults participated in a three-round modified Delphi process. Two rounds of surveys were conducted, with items ranked using a 5-point Likert scale. A predefined consensus threshold of ≥ 75% was established for any one feature to be deemed important. The third round involved a live video conference where the panel reached a consensus on essential diagnostic criteria. Results The panel identified 18 critical diagnostic items, encompassing elements from the patient’s clinical history, signs and symptoms. This includes history of escalating TCS requirement, morphology and distribution differing from primary condition, regional or generalized spontaneous neuropathic pain and severe burning sensation of the skin. Conclusions Differentiating TSW from conditions such as severe atopic dermatitis remains challenging. By emphasizing the common signs and symptoms of TSW, we aim to encourage discussions among healthcare professionals and progress towards the development of a reliable diagnostic tool. An author video to accompany this article is available online.

Background: Inflammatory bowel disease (IBD) is associated with systemic inflammation and potential cardiovascular complications. This meta-analysis evaluates long-term cardiovascular risks in IBD. Methods: Electronic databases were searched for studies examining cardiovascular, cerebrovascular, and thromboembolic risks in IBD. Adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) were pooled using a random-effects model. Results: Fifty-three studies comprising 1,406,773 patients were analyzed. IBD was linked to increased risk of ischemic heart disease (aHR 1.25; p = 0.001) myocardial infarction (aHR 1.25; p = 0.01), acute coronary syndrome (aHR 1.43; p < 0.00001), heart failure (aHR 1.24; p < 0.00001), atrial fibrillation (aHR 1.20; p < 0.00001), and stroke (aHR 1.13; p < 0.00001). Elevated risks were also observed for peripheral arterial disease (aHR 1.41; p < 0.00001), diabetes mellitus (aHR 1.40; p < 0.00001), venous thromboembolism (aHR 1.98; p < 0.00001), deep vein thrombosis (aHR 2.85; p = 0.0004), and pulmonary embolism (aHR 1.98; p = 0.03). Importantly, IBD was associated with increased cardiovascular (aHR 1.14; p = 0.03) and all-cause mortality (aHR 1.53; p < 0.00001). Conclusions: IBD patients face higher risk for adverse cardiovascular outcomes, thromboembolic disease, and mortality, necessitating early cardiovascular risk assessment and targeted interventions in this population.

The industrialisation of healthcare has transformed the expectation of individualised and compassionate caring for patients into the reality of efficient and standardised processing of people to achieve organisational goals. In this way, healthcare functions like a machine that processes patients via protocols and technologies. Though this standardisation is necessary for enhancing safe and efficient operations, it can also alienate organisations and their clinicians from their core mission, turning care into a transactional endeavour. Consequently, patients must adapt to the system’s needs and work to achieve its goals, adding unnecessary burden and limiting the benefits of their healing endeavour. In this opinion piece, the authors offer an alternative vision of care as the work of people who, in interaction, notice and respond to each patient’s problematic human situation. Healthcare organisations must reclaim this care as its core mission, and foster environments where patients and clinicians may engage in this adaptative and responsive practice. By doing so, healthcare can fulfil its purpose: to care for all in a way that is careful and kind.

ABSTRACT A major challenge in hematopoietic progenitor cell apheresis is determining the whole blood (WB) volume to process to achieve a CD34+ cell collection goal. We developed a web‐based calculator app that uses the Collection Efficiency 2 (CE2) model to estimate personalized WB processing volumes needed to reach a prescribed CD34+ cell collection goal. Retrospective evaluation of the app using collection data from two academic medical centers showed that actual processed WB volumes were frequently higher than the app's recommendations. The frequency of potential under‐collection events is predicted to be low had the app‐calculated volumes been utilized. Our findings suggest that using the app's recommendations may lower total WB processing volumes, reducing over‐collection and time spent on the apheresis machine, while maintaining a low under‐collection risk profile.

Postoperative pancreatic fistula (POPF) is a critical complication following pancreatic surgeries, marked by leakage of pancreatic fluid due to anastomotic or pancreatic duct failure. Recent advancements have refined its definition, risk classification and management strategies. This review emphasises discussing new definitions, classification updates, predictive factors (both pancreatic and non-pancreatic), comparisons of surgical techniques and therapeutic advancements. Emerging trials and innovations, such as robotic-assisted surgery and personalised stents, are also addressed. The evolving understanding of POPF underscores the need for holistic and patient-centred surgical strategies.

Although CNP (C‐type natriuretic peptide) was first identified in brain tissue, its systemic expression and release is mainly located to the endothelial lining of the vasculature. As such, CNP should not be viewed as a classic blood‐borne hormone but rather as a local factor that supports the integrity of vascular function. Albeit CNP is structurally related to both ANP and BNP (A‐ and B‐type natriuretic peptide), the main signaling pathway is through a specific membrane‐bound receptor without crosstalk from endocrine ANP and BNP. CNP expression and CNP‐mediated effects can thus be uniquely targeted without interference from the related cardiac NPs. In this perspective, we present the CNP system as a largely overlooked target for potential intervention in cardiometabolic disease, hypertension, and diabetes before onset of complications and overt heart failure. To fully unleash this potential, with this perspective, we hope to fuel renewed interest with a focus on use of human in vitro and ex vivo systems as well as experimental medical approaches and human cohort data.

Background To compare the effectiveness of glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) versus bariatric surgery on cardiovascular outcomes in patients with heart failure (HF) with preserved ejection fraction and obesity. Methods Using the TriNetX research network, we conducted a retrospective cohort study of adults (aged ≥18 years) with HF with preserved ejection fraction and obesity (body mass index >30 kg/m 2 ) from 2017 to 2022. Patients were categorized into 2 cohorts: those receiving GLP‐1 RAs (semaglutide or tirzepatide) and those who underwent bariatric surgery. Propensity score matching (1:1) was used to balance baseline characteristics. Primary outcomes included acute HF events and all‐cause hospitalizations. Secondary outcomes included all‐cause death, myocardial infarction, stroke, and follow‐up body mass index. Cox proportional hazard models were used to estimate hazard ratios (HRs). Results A total of 2747 patients were included per cohort (mean age, 68 years). GLP‐1 RA therapy was associated with lower incidence of acute HF events (38.9% versus 44.6%; HR, 0.78 [95% CI, 0.72–0.85]), all‐cause death (11.1% versus 14.8%; HR, 0.71 [95% CI, 0.61–0.82]), and all‐cause hospitalizations (66.4% versus 77.3%; HR, 0.62 [95% CI, 0.58–0.66]). Rates of myocardial infarction (13.8% versus 13.4%; HR 0.99 [0.86–1.14]) and stroke (9.7% versus 10.7%; HR, 0.87 [0.74–1.02]) were similar between groups. Mean body mass index at follow‐up was 38.0 in the GLP‐1 RA cohort versus 37.7 after bariatric surgery ( P =0.34). Hemoglobin A 1c at follow‐up was higher in the GLP‐1 RA group (7.4 versus 6.8; P <0.001). Conclusions In patients with HF with preserved ejection fraction and obesity, GLP‐1 RA therapy was associated with improved outcomes compared with bariatric surgery, supporting the need for prospective trials to evaluate GLP‐1 RAs as a therapeutic alternative.

Background Cardiovascular disease (CVD) is a leading cause of death in cancer survivors. Predicting CVD risk in this population remains challenging. Risk prediction models that use machine learning algorithms could provide an objective method for accurate risk prediction to facilitate the prevention and management of CVD in cancer survivors. We evaluated previously tested machine learning algorithms and logistic regression (regularized by machine learning methods), in addition to testing and validating newer, more complex machine learning algorithms, for CVD prediction in cancer survivors. Methods This multicenter study used a database of 3835 multiracial cancer survivors with 89 clinical, laboratory, and echocardiographic features over 20 years. Models were trained using repeated random and time‐split samples and tested on a separate cohort of 329 patients. Model performance was assessed using the area under the receiver operating characteristic curve. Results Regularized logistic regression achieved an area under the receiver operating characteristic curve of 0.845 (heart failure), 0.783 (atrial fibrillation), 0.792 (coronary artery disease), and 0.806 (composite CVD). These are comparable to 0.837 and 0.848 for heart failure, using Bayesian additive regression tree and random forest as more advanced machine learning models, respectively. De novo composite CVD (post‐cancer diagnosis) was also predicted with an area under the receiver operating characteristic curve of 0.826 using regularized logistic regression, compared with 0.735 and 0.802 using decision tree and random forest, respectively. Conclusions Regularized logistic regression and advanced machine learning models demonstrated similar predictive performance, with institutional transferability. These tools may support risk stratification and prevention strategies in cardio‐oncology using longitudinal data. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05377320.

Background: The use of spinal cord stimulation (SCS) for managing severe refractory chronic pain has expanded considerably due to positive statistical evidence regarding its use; however, the statistical robustness of the underlying randomized controlled trials (RCTs) requires further scrutiny. One such tool that can be used for this purpose is the fragility index, which quantifies how many individual outcome events must be altered for an outcome to lose statistical significance. Thus the index can be used quantitatively to assess the stability and robustness of an RCT’s conclusions, with higher values indicating increased trial stability. This study assesses the fragility of pain outcomes across RCTs investigating SCS for chronic pain to better understand the quality and robustness of evidence. Methods: A systematic search was conducted for RCTs assessing SCS for any chronic pain indication. The primary outcome was an evaluation of the trial-specific fragility index for the prespecified pain primary outcomes of RCTs. Secondary outcomes included an evaluation of fragility for (1) specified indications for SCS therapy, (2) reported pain outcomes appearing in three or more RCTs, (3) the presence/absence of a conflict of interest, and (4) comparisons of SCS to conservative management or different SCS waveform modalities. Results: A total of 30 RCTs were included. The median (interquartile range [IQR]) fragility index across the primary outcome of all trials was 5.45 (3.00 to 11.45). There was no statistical difference between the (1) types of outcomes (dichotomous vs. continuous; P = 0.710), (2) primary versus secondary pain outcomes ( P = 0.771), or (3) presence versus absence of trial conflict of interest ( P = 0.753). Indications with a median (IQR) fragility score greater than three included persistent spinal pain syndrome type 2 with a score of 8.00 (2.80 to 12.60), painful diabetic neuropathy with a score of 6.00 (3.00 to 11.80), complex regional pain syndrome with a score of 7.20 (4.62 to 81.50), mixed etiologies with a score of 9.00 (3.00 to 38.00), and other etiologies with a score of 3.00 (1.00 to 8.55). Conclusions: This study suggests that the majority of RCTs investigating primary pain outcomes after SCS therapy are robust with relatively high fragility scores. Reporting the fragility of outcomes in trials can provide a more comprehensive assessment of trial robustness and can further aid clinicians in interpreting trial results and making informed treatment decisions.