Citations

Abstract Addressing the treatment and prevention of antibacterial-resistant gram-negative bacterial infections is a priority area of the Antibacterial Resistance Leadership Group (ARLG). The ARLG has conducted a series of observational studies to define the clinical and molecular global epidemiology of carbapenem-resistant and ceftriaxone-resistant Enterobacterales, carbapenem-resistant Pseudomonas aeruginosa, and carbapenem-resistant Acinetobacter baumannii, with the goal of optimizing the design and execution of interventional studies. One ongoing ARLG study aims to better understand the impact of fluoroquinolone-resistant gram-negative gut bacteria in neutropenic patients, which threatens to undermine the effectiveness of fluoroquinolone prophylaxis in these vulnerable patients. The ARLG has conducted pharmacokinetic studies to inform the optimal dosing of antibiotics that are important in the treatment of drug-resistant gram-negative bacteria, including oral fosfomycin, intravenous minocycline, and a combination of intravenous ceftazidime-avibactam and aztreonam. In addition, randomized clinical trials have assessed the safety and efficacy of step-down oral fosfomycin for complicated urinary tract infections and single-dose intravenous phage therapy for adult patients with cystic fibrosis who are chronically colonized with P. aeruginosa in their respiratory tract. Thus, the focus of investigation in the ARLG has evolved from improving understanding of drug-resistant gram-negative bacterial infections to positively affecting clinical care for affected patients through a combination of interventional pharmacokinetic and clinical studies, a focus that will be maintained moving forward.

Abstract The advancement of infectious disease diagnostics, along with studies devoted to infections caused by gram-negative and gram-positive bacteria, is a top scientific priority of the Antibacterial Resistance Leadership Group (ARLG). Diagnostic tests for infectious diseases are rapidly evolving and improving. However, the availability of rapid tests designed to determine antibacterial resistance or susceptibility directly in clinical specimens remains limited, especially for gram-negative organisms. Additionally, the clinical impact of many new tests, including an understanding of how best to use them to inform optimal antibiotic prescribing, remains to be defined. This review summarizes the recent work of the ARLG toward addressing these unmet needs in the diagnostics field and describes future directions for clinical research aimed at curbing the threat of antibiotic-resistant bacterial infections.

The current study demonstrates that respiratory modulation of sympathetic nerve activity (SNA) is reduced in healthy postmenopausal (PMF) versus premenopausal females (YF). Furthermore, respiratory sympathetic modulation was negatively related to resting blood pressure in postmenopausal females, such that blood pressure was greater in individual with less modulation. Reduced respiratory sympathetic modulation may have implications for the autonomic control of blood pressure in aging postmenopausal females, by contributing to age-related sympathetic activation and reducing acute, respiratory-linked blood pressure variation.

AbstractBACKGROUNDDelirium, a common syndrome with heterogeneous etiologies and clinical presentations, is associated with poor long‐term outcomes. Recording and analyzing all delirium equally could be hindering the field's understanding of pathophysiology and identification of targeted treatments. Current delirium subtyping methods reflect clinically evident features but likely do not account for underlying biology.METHODSThe Delirium Subtyping Initiative (DSI) held three sessions with an international panel of 25 experts.RESULTSMeeting participants suggest further characterization of delirium features to complement the existing Diagnostic and Statistical Manual of Mental Disorders Fifth Edition Text Revision diagnostic criteria. These should span the range of delirium‐spectrum syndromes and be measured consistently across studies. Clinical features should be recorded in conjunction with biospecimen collection, where feasible, in a standardized way, to determine temporal associations of biology coincident with clinical fluctuations.DISCUSSIONThe DSI made recommendations spanning the breadth of delirium research including clinical features, study planning, data collection, and data analysis for characterization of candidate delirium subtypes.Highlights Delirium features must be clearly defined, standardized, and operationalized. Large datasets incorporating both clinical and biomarker variables should be analyzed together. Delirium screening should incorporate communication and reasoning.

Abstract Background/Aims In shared decision-making conversations, patients with or at risk of osteoporosis and their clinicians collaborate to decide which drug treatments fit best for each person. The Perceptions and Practicalities Approach (PAPA) specifies three core considerations of drug uptake and commitment: 1) patient’s perceived personal need for treatment (necessity beliefs). 2) patient concerns about the potential adverse consequences of drugs (e.g. side effects). 3) practical difficulties (e.g. limitations in capacity and resources). This study aims to explore how discussions about perceptions and practicalities of osteoporosis drug treatment arise and evolve in the context of clinical consultations about osteoporosis. Methods Secondary analysis of 38 video-recorded primary care consultations from a Mayo Clinic trial evaluating the Osteoporosis Choice Decision Aid. Video-recorded consultations included ‘usual care’ (n = 24) and decision aid (n = 14). Patient participants were aged 50 and over with osteopenia or osteoporosis not already receiving drug treatment. A quantitative coding scheme, informed by the PAPA, was developed to extract: i) how clinicians framed the ‘problem’ of osteoporosis, including: bone density results, fracture risk, physical impact, social impact, or psychological impact of fracture. ii) whether clinicians asked about the patients’ views of osteoporosis, patients own bone health, and the necessity, concerns, or practical issues associated with osteoporosis drugs. iii) whether clinicians personalised discussions about osteoporosis drugs to patients perceived: importance or need, side effects or harms, or practical issues. Two independent study team members dual extracted data, with a third member resolving discrepancies. Extracted data was summarised using descriptive statistics. Results Commonly, clinicians framed osteoporosis using the patient’s bone density results (n = 38,100%) and fracture risk (n = 30,79%). In contrast, few clinicians acknowledged the potential physical impacts of fracture (n = 5,13%), with no clinicians discussing the possible psychological or social impacts. Clinicians asked 24 questions to elicit patient views in 16 of the 38 encounters (42%, range 0-4 questions per consult). The 24 questions concerned patient views about osteoporosis (n = 1,4%), their bone health (n = 5,21%), or the necessity (n = 1,4%), concerns (n = 2,8%), or practical issues associated with osteoporosis drugs (n = 2,8%). Importantly, 14 consultations (37%) contained no questions to elicit patient views. Across the 38 consultations, clinicians personalised information about the patient’s need for osteoporosis drugs in 15 consultations (39%), with less personalisation about the side effects/harms (n = 10,26%), or practical issues (n = 6,16%) associated with osteoporosis drugs. Conclusion Clinical consultations rarely considered key personal determinants of osteoporosis drug uptake and commitment. Even when clinicians used an osteoporosis decision aid, few discussions specifically elicited or addressed patients’ personal treatment necessity beliefs, concerns and practical difficulties. Additionally, clinicians seldom acknowledged the potential physical and psychosocial impacts of osteoporosis. The findings demonstrate the need for multicomponent interventions, incorporating the PAPA-based approach, to facilitate shared decision-making that takes account of patient perceptions and practicalities. Disclosure A.W. Hawarden: Grants/research support; AH is funded by a Versus Arthritis Clinical Doctoral Fellowship (grant reference 227260). L. Bullock: None. M. León-García: Grants/research support; ML-G had financial support from the Spanish Health Institute Carlos III (ISCIII) co-funded by the European Regional Development Fund (Grant number: F18/00014).. S.A. Hartasanchez: None. I. Hargraves: None. R. Horne: None. A. Maraboto: None. M. Kunneman: Grants/research support; MK had financial support from the Dutch Research Council (NWO) and The Netherlands Organisation for Health Research and Development (ZonMw) (#016.196.138). C. Jinks: Grants/research support; CJ is part funded by NIHR Applied Research Collaboration (ARC) West Midlands. Z. Paskins: Grants/research support; ZP is funded by the National Institute for Health Research (NIHR) [Clinician Scientist Award (CS-2018-18-ST2-010)/NIHR Academy].

Purpose Rapid identification of hematoma expansion (HE) risk at baseline is a priority in intracerebral hemorrhage (ICH) patients and may impact clinical decision making. Predictive scores using clinical features and Non-Contract Computed Tomography (NCCT)-based features exist, however, the extent to which each feature set contributes to identification is limited. This paper aims to investigate the relative value of clinical, radiological, and radiomics features in HE prediction. Methods Original data was retrospectively obtained from three major prospective clinical trials [“Spot Sign” Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy (SPOTLIGHT)NCT01359202; The Spot Sign for Predicting and Treating ICH Growth Study (STOP-IT)NCT00810888] Patients baseline and follow-up scans following ICH were included. Clinical, NCCT radiological, and radiomics features were extracted, and multivariate modeling was conducted on each feature set. Results 317 patients from 38 sites met inclusion criteria. Warfarin use (p=0.001) and GCS score (p=0.046) were significant clinical predictors of HE. The best performing model for HE prediction included clinical, radiological, and radiomic features with an area under the curve (AUC) of 87.7%. NCCT radiological features improved upon clinical benchmark model AUC by 6.5% and a clinical & radiomic combination model by 6.4%. Addition of radiomics features improved goodness of fit of both clinical (p=0.012) and clinical & NCCT radiological (p=0.007) models, with marginal improvements on AUC. Inclusion of NCCT radiological signs was best for ruling out HE whereas the radiomic features were best for ruling in HE. Conclusion NCCT-based radiological and radiomics features can improve HE prediction when added to clinical features.

AbstractIntroductionFor too many people, their care plans are designed without fully accounting for who they are, the lives they live, what matters to them or what they aspire to achieve. We aimed to summarize instruments capable of measuring dimensions of patient–clinician collaboration to make care fit.MethodsWe systematically searched several databases (Medline, Embase, Cochrane, Scopus and Web of Science) from inception to September 2021 for studies using quantitative measures to assess, evaluate or rate the work of making care fit by any participant in real‐life clinical encounters. Eligibility was assessed in duplicate. After extracting all items from relevant instruments, we coded them deductively on dimensions relevant to making care fit (as presented in a recent Making Care Fit Manifesto), and inductively on the main action described.ResultsWe included 189 papers, mostly from North America (N = 83, 44%) and in the context of primary care (N = 54, 29%). Half of the papers (N = 88, 47%) were published in the last 5 years. We found 1243 relevant items to assess efforts of making care fit, included within 151 instruments. Most items related to the dimensions ‘Patient‐clinician collaboration: content’ (N = 396, 32%) and ‘Patient‐clinician collaboration: manner’ (N = 382, 31%) and the least related to ‘Ongoing and iterative process’ (N = 22, 2%) and in ‘Minimally disruptive of patient lives’ (N = 29, 2%). The items referred to 27 specific actions. Most items referred to ‘Informing’ (N = 308, 25%) and ‘Exploring’ (N = 93, 8%), the fewest items referred to ‘Following up’, ‘Comforting’ and ‘Praising’ (each N = 3, 0.2%).DiscussionMeasures of the work that patients and clinicians do together to make care fit focus heavily on the content of their collaborations, particularly on exchanging information. Other dimensions and actions previously identified as crucial to making care fit are assessed infrequently or not at all. The breadth of extant measures of making care fit and the lack of appropriate measures of this key construct limit both the assessment and the successful implementation of efforts to improve patient care.Patient ContributionPatients and caregivers from the ‘Making care fit Collaborative’ were involved in drafting the dimensions relevant to patient–clinician collaboration.

Importance Preventing relapse for adults with acute myeloid leukemia (AML) in first remission is the most common indication for allogeneic hematopoietic cell transplant. The presence of AML measurable residual disease (MRD) has been associated with higher relapse rates, but testing is not standardized. Objective To determine whether DNA sequencing to identify residual variants in the blood of adults with AML in first remission before allogeneic hematopoietic cell transplant identifies patients at increased risk of relapse and poorer overall survival compared with those without these DNA variants. Design, Setting, and Participants In this retrospective observational study, DNA sequencing was performed on pretransplant blood from patients aged 18 years or older who had undergone their first allogeneic hematopoietic cell transplant during first remission for AML associated with variants in FLT3, NPM1, IDH1, IDH2, or KIT at 1 of 111 treatment sites from 2013 through 2019. Clinical data were collected, through May 2022, by the Center for International Blood and Marrow Transplant Research. Exposure Centralized DNA sequencing of banked pretransplant remission blood samples. Main Outcomes and Measures The primary outcomes were overall survival and relapse. Day of transplant was considered day 0. Hazard ratios were reported using Cox proportional hazards regression models. Results Of 1075 patients tested, 822 had FLT3 internal tandem duplication ( FLT3- ITD) and/or NPM1 mutated AML (median age, 57.1 years, 54% female). Among 371 patients in the discovery cohort, the persistence of NPM1 and/or FLT3 -ITD variants in the blood of 64 patients (17.3%) in remission before undergoing transplant was associated with worse outcomes after transplant (2013-2017). Similarly, of the 451 patients in the validation cohort who had undergone transplant in 2018-2019, 78 patients (17.3%) with residual NPM1 and/or FLT3 -ITD variants had higher rates of relapse at 3 years (68% vs 21%; difference, 47% [95% CI, 26% to 69%]; HR, 4.32 [95% CI, 2.98 to 6.26]; P < .001) and decreased survival at 3 years (39% vs 63%; difference, −24% [2-sided 95% CI, −39% to −9%]; HR, 2.43 [95% CI, 1.71 to 3.45]; P < .001). Conclusions and Relevance Among patients with acute myeloid leukemia in first remission prior to allogeneic hematopoietic cell transplant, the persistence of FLT3 internal tandem duplication or NPM1 variants in the blood at an allele fraction of 0.01% or higher was associated with increased relapse and worse survival compared with those without these variants. Further study is needed to determine whether routine DNA-sequencing testing for residual variants can improve outcomes for patients with acute myeloid leukemia.

Background: COVID-19 is associated with higher morbidity and mortality in patients with chronic liver diseases (CLDs). However, our understanding of the long-term outcomes of COVID-19 in patients with CLD is limited. Methods: We conducted a multicenter, observational cohort study of adult patients with CLD who were diagnosed with COVID-19 before May 30, 2020, to determine long-term clinical outcomes. We used a control group of patients with CLD confirmed negative for COVID-19. Results: We followed 666 patients with CLD (median age 58 years, 52.8% male) for a median of 384 (interquartile range: 31–462) days. The long-term mortality was 8.1%; with 3.6% experiencing delayed COVID-19-related mortality. Compared to a propensity-matched control group of patients with CLD without COVID-19 (n=1332), patients with CLD with COVID-19 had worse long-term survival [p<0.001; hazards ratio (HR): 1.69; 95% CI: 1.19–2.41] and higher rate of hospitalization (p<0.001, HR: 2.00, 1.62–2.48) over a 1-year follow-up period. Overall, 29.9% of patients reported symptoms of long-COVID-19. On multivariable analysis, female sex (p=0.05, HR: 2.45, 1.01–2.11), Hispanic ethnicity (p=0.003, HR: 1.94, 1.26–2.99), and severe COVID-19 requiring mechanical ventilation (p=0.028, HR: 1.74, 1.06–2.86) predicted long-COVID-19. In survivors, liver-related laboratory parameters showed significant improvement after COVID-19 resolution. COVID-19 vaccine status was available for 72% (n=470) of patients with CLD and history of COVID-19, of whom, 70% (n=326) had received the COVID-19 vaccine. Conclusions: Our large, longitudinal, multicenter study demonstrates a high burden of long-term mortality and morbidity in patients with CLD and COVID-19. Symptoms consistent with long-COVID-19 were present in 30% of patients with CLD. These results illustrate the prolonged implications of COVID-19 both for recovering patients and for health care systems.