Citations

Scientific evidence regarding AKI and acute kidney care has advanced in recent years. However, a knowledge gap remains on the implementation of these evidence-based practices (EBPs) into clinical care. Implementation science (IS) is focused on ensuring that this knowledge is translated in an effective, efficient and sustainable fashion. Objectives: 1) Define the current status of IS; 2) Define a roadmap for accelerating IS with a focus on patient/care partner advocacy, digital tool application, social determinants of health, and resource-limited settings; and 3) Develop a robust and broad research agenda incorporating IS methodology into the programs. Evidence Review: ADQI XXXV was conducted through a modified Delphi process with virtual meetings preceding an in-person meeting. Five workgroups were determined a priori to focus on 1) IS definitions and methods applicable to AKI and acute kidney care; 2) IS literature in AKI and acute kidney care; 3) Innovations in IS to accelerate the adoption, adherence to, and sustainment of EBPs in AKI and acute kidney care; 4) IS methods in resource-limited settings; and 5) Recommendations to identify and evaluate EBPs that are ready for implementation or de-implementation. Prior to the in-person meeting, each workgroup met virtually to review the literature and develop framework questions to address their objectives. During the two-day in person meeting, through iterative discussions, questions and supporting statements were finalized. These questions and statements were agreed upon through voting to achieve consensus, defined as agreement of ≥80%. Conclusions and Relevance: We report a structured multidisciplinary consensus for defining the role of IS in AKI and acute kidney care. Future programs should address these consensus questions and apply these statements along with IS methodology in the translation of science into clinical practice and the implementation/de-implementation of EBPs in clinical care.

ABSTRACT Anti‐Spike monoclonal antibodies (mAbs) progressively lost efficacy during the COVID‐19 pandemic due to the emergence and predominance of resistant SARS‐CoV‐2 variants. By contrast, high‐titre COVID‐19 convalescent plasma (CCP) collected from vaccinated donors recently recovered from infection provides a polyclonal source of antibodies that remains effective in clearing SARS‐CoV‐2 in immunosuppressed patients, unable to mount an adequate immune response against the virus. We conducted a systematic review and individual participant data meta‐analysis to examine the effect of CCP in immunocompromised patients persistently positive for SARS‐CoV‐2 viraemia following mAb therapy, and to evaluate possible biological factors associated with a favourable outcome. Electronic databases were searched for studies published from January 2020 to January 2026. All studies including eligible cases were considered in the systematic review. Unpublished cases were also collected from investigators of the selected studies. The protocol was registered at PROSPERO (CRD420251142891). Forty‐seven cases (30 cases from 12 published studies and 17 unpublished cases) were included. In 33 out of 47 patients (70.2%) with a mAb‐resistant infection, SARS‐CoV‐2 clearance occurred following CCP transfusion, with a mean of 2.7 CCP units administered. In logistic regression, total CCP volume transfused was positively associated with SARS‐CoV‐2 clearance. In conclusion, CCP transfusion was associated with SARS‐CoV‐2 clearance in persistently positive immunocompromised patients following failure of anti‐Spike mAb therapy.

The total number of total hip arthroplasties performed each year is expected to increase significantly over the coming decades. As a result, an increasing number of young patients are undergoing total hip arthroplasty while similarly, a growing subset of active elderly patients desire to return to sports or high-impact activity after surgery. Patients are typically provided restrictions and activities to avoid following surgery. For these patients, there is no clear consensus or guidelines regarding whether they should limit their activity level postoperatively and in particular, if returning to high-impact exercise increases their risk of complications and subsequent revision surgery. This article will discuss the most common complications after total hip arthroplasty and whether patients who return to sports or a high-impact activity after surgery may be more predisposed to these complications in comparison to their more sedentary peers.

Abstract Background: Glioma diagnosed during pregnancy and pregnancy following glioma treatment present complex management challenges. The safety of glioma treatment during pregnancy is not well established. The ability to counsel patients on timing of conception after treatment remains limited. The aim of this study was to review our institution’s experience with glioma during and before pregnancy. Methods: In this single-institution study, we retrospectively identified patients diagnosed with glioma during or prior to pregnancy and reviewed treatment course and maternal and neonatal outcomes. Results: Twenty-one female patients were included in our study. Glioma diagnoses included 12 high-grade tumors and 9 low-grade tumors. Cohort A consisted of 8 patients who presented with glioma during pregnancy, of which, 7 underwent glioma treatment during pregnancy. All pregnancies in cohort A were without significant maternal complications and resulted in delivery of a healthy neonate. Cohort B consisted of 13 patients who experienced pregnancy after a prior diagnosis of glioma, totaling 23 pregnancies. Antepartum course was complicated by seizure in three pregnancies. Functionally inconsequential anatomic abnormalities in childhood offspring of cohort B occurred in 5 (27.8%) of the pregnancies. Four of the offspring with anatomic abnormalities had exposure to TMZ prior to conception. Conclusions: In this retrospective series, diagnosis of glioma before or during pregnancy was associated with generally favorable maternal, fetal and childhood outcomes. We observed a higher-than-expected rate of anatomic abnormalities in the post-diagnosis cohort, though none carried meaningful functional consequences. These findings add to the limited literature exploring maternal and fetal outcomes in patients with glioma.

Abstract To report clinical and functional outcomes, including patient-reported outcome measures (PROMs), complications, reoperation rates, and arthritic progression in patients who sustained a knee dislocation (KD) type V fracture dislocation at minimum 2-year follow-up. A retrospective review from a prospectively collected database was performed to identify all patients with a KD type V fracture dislocation between 2001 and 2022 at a single institution. Patient demographics, pre- and postoperative clinical examination findings, intraoperative details, and postoperative complication rates were obtained from medical records. PROMs, including Visual Analog Scale (VAS), Tegner Activity Scale, Lysholm score, and International Knee Documentation Committee Subjective (IKDC) score were analyzed. A total of 11 patients (mean age: 33.9 ± 7.6, mean BMI: 33.5 ± 6.4 kg/m2) were included with a mean follow-up of 6.4 ± 5.4 years. Seven patients (64%) had a tibial plateau fracture involving the weight-bearing surface. Four patients (36%) had a concomitant nerve injury, one patient (9%) had a concomitant vascular injury, three patients (27%) had a concomitant cartilage injury (ICRS grade 3 + ), and seven patients (64%) had a concomitant meniscus injury. In all, 10 patients (82%) underwent fracture fixation. The mean postoperative Kellgren-Lawrence (KL) grade was 3.0 ± 1.0. Postoperative PROMs included VAS at rest of 2.0 ± 2.3, VAS with activity of 3.3 ± 3.2, IKDC of 68.3 ± 22.1, Lysholm of 79.0 ± 23.6, and Tegner of 4.3 ± 1.7. Nine patients (83%) experienced a complication, with four (36%) patients requiring a subsequent reoperation. Patients with a KD V fracture dislocation who underwent surgical management demonstrated high complication and reoperation rates with advanced radiographic evidence of osteoarthritis but ultimately satisfactory functional outcomes at mid-term follow-up. These findings underscore the complexity of KD V injuries and the importance of early recognition, multidisciplinary surgical planning, and patient counseling regarding the prolonged recovery and likelihood of residual symptoms. Level of evidence is IV—retrospective case series.

Abstract Objectives This study used both researcher and patient perspectives to identify high-priority research questions related to clinical reasoning. Methods This study integrates findings from two previously published research prioritization exercises aimed at advancing the science of diagnostic safety, focusing on questions relevant to clinical reasoning. In Study 1 (April 2019), 97 researchers submitted 177 unique research questions that could be useful “to reduce patient harm in the diagnosis process”. In Study 2 (November 2019), 41 patients/caregivers/advocates submitted 84 unique research questions on the same topic. In an in-person meeting, a subset of these participants identified 81 of these questions as high-priority (51 from Study 1; 30 from Study 2). For the current study, five investigators identified questions that focused on clinical reasoning, first independently and then by consensus. They then categorized the clinical reasoning questions into inductively identified themes. Results Twenty-nine of the 81 high-priority research questions addressed clinical reasoning and were categorized into 5 themes: understanding clinical reasoning and cognition (12 questions), decision support/technology (6 questions), team-based decision making (5 questions), how to learn from cases/scenarios (3 questions), and patient engagement (3 questions). Questions addressed a range of basic/foundational science and clinical applications, and involved individuals, teams, and/or systems. Conclusions Identification of high-priority clinical reasoning research questions can help medical educators, clinicians, researchers, and funders catalyze research and discovery of interventions to improve clinical reasoning and ultimately improve patient outcomes.

Iron is an essential element for cellular homeostasis and functionality. Increased iron in the lung is associated with aging and asthma in the elderly (AIE). Using human airway smooth muscle cells from young versus elderly versus AIE patients, we found that dysregulated iron metabolism (more than iron accumulation), resulting in activation of antioxidant systems and increased susceptibility to ferroptosis, occurs in AIE, contributing to cell hyperplasia and matrix remodeling of aging and AIE.

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

Abstract Objectives Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrative claims. A common approach for using these types of data across all phases of trial conduct is to create a computable phenotype (an explicitly defined data query data, including specified data types, data codes, and logical parameters) to capture patients with a clinical condition, exposure, symptom, characteristic, treatment, or outcome of interest. Materials and Methods The Electronic Health Record (EHR) Core Working Group of the NIH Pragmatic Trials Collaboratory captured the experiences of investigators in developing, adapting, and applying computable phenotype definitions in their studies. Results Four case studies describe different approaches to developing and using computable phenotypes in pragmatic trials. Discussion We recommend: (1) developing computable phenotypes as part of a team with multiple areas of expertise; (2) appropriate validation; (3) dissemination of salient details regarding phenotype creation; and (4) capturing and reporting any modifications made to phenotypes during the conduct of the trial. Conclusion A range of issues and decisions influence how computable phenotypes are developed and used in pragmatic clinical trials. Multidisciplinary teams that understand the context of the data, including the reason the data are collected and potential sources of bias, are best suited for the development and validation of phenotypes for ePCTs.