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Background: TERT promoter mutation (TPM) is an established biomarker in meningiomas associated with aberrant TERT expression and reduced progression-free survival (PFS). TERT expression, however, has also been observed even in tumours with wildtype TERT promoters (TP-WT). This study aimed to examine TERT expression and clinical outcomes in meningiomas. Methods: TERT expression, TPM status, and TERT promoter methylation of a multi-institutional cohort of meningiomas (n=1241) was assessed through nulk RNA sequencing (n=604), Sanger sequencing of the promoter (n=1095), and methylation profiling (n=1218). 380 Toronto meningiomas were used for discovery, and 861 external institution samples were compiled as a validation cohort. Results: Both TPMs and TERTpromoter methylation were associated with increased TERT expression and may represent independent mechanisms of TERT reactivation. TERT expression was detected in 30.4% of meningiomas that lacked TPMs, was associated with higher WHO grades, and corresponded to shorter PFS, independent of grade and even among TP-WT tumours. TERT expression was associated with a shorter PFS equivalent to those of TERT-negative meningiomas of one higher grade. Conclusions: Our findings highlight the prognostic significance of TERT expression in meningiomas, even in the absence of TPMs. Its presence may identify patients who may progress earlier and should be considered in risk stratification models.
Increased antibiotic use (AU) has been reported globally during the COVID-19 pandemic despite low rates of bacterial co-infection. We assessed changes in AU during the COVID-19 pandemic in Indonesia and the Philippines.
Methods:
We evaluated hospital-wide AU over 36 months in six hospitals, 3 in Indonesia and 3 in the Philippines. Intravenous antibiotics commonly used for respiratory conditions were selected and grouped for analysis. AU rates were calculated as monthly defined daily dose per 1000 patient-days or patient discharges. Median AU rates were compared from the pre-pandemic (March 2018–February 2020) and pandemic periods (March 2020–February 2021) using quantile regression to assess for statistical significance. Changes in AU during the COVID-19 pandemic were analyzed using interrupted time series analysis.
Results:
Significant increases were noted in the median AU rate from the pre-pandemic to pandemic period of all antibiotics combined in 3/6 hospitals (percentage change, Δ, 12.5%–63.6%) and anti-pseudomonal antibiotics in 3/6 hospitals (Δ 51.5%–161.5%). In the interrupted time series analysis, an immediate increase (range: 125.40–1762) in the use of all included antibiotics combined was observed in 3/6 hospitals at the onset of the COVID-19 pandemic. One of these 3 hospitals experienced a statistically significant sustained increase, while another experienced a decrease over time.
Conclusions:
We observed significant increases in facility-wide inpatient AU during the COVID-19 pandemic in our participating hospitals in Indonesia and the Philippines. These findings reinforce the importance of antibiotic stewardship practices to optimize AU, especially during infectious disease pandemics.
Australian children fall short of national dietary guidelines with only 63 % consuming adequate fruit and 10 % enough vegetables. Before school care operates as part of Out of School Hours Care (OSHC) services and provides opportunities to address poor dietary habits in children. The aim of this study was to describe the food and beverages provided in before school care and to explore how service-level factors influence food provision.
Design:
A cross-sectional study was conducted in OSHC services. Services had their before school care visited twice between March and June 2021. Direct observation was used to capture food and beverage provision and child and staff behaviour during breakfast. Interviews with staff collected information on service characteristics. Foods were categorised using the Australian Dietary Guidelines, and frequencies were calculated. Fisher’s exact test was used to compare food provision with service characteristics.
Setting:
The before school care of OSHC services in New South Wales, Australia.
Participants:
Twenty-five OSHC services.
Results:
Fruit was provided on 22 % (n 11) of days and vegetables on 12 % (n 6). Services with nutrition policies containing specific language on food provision (i.e. measurable) were more likely to provide fruit compared with those with policies using non-specific language (P= 0·027). Services that reported receiving training in healthy eating provided more vegetables than those who had not received training (P= 0·037).
Conclusions:
Before school care can be supported to improve food provision through staff professional development and advocating to regulatory bodies for increased specificity requirements in the nutrition policies of service providers.
Graph theory, a branch of mathematics that focuses on the study of graphs (networks of nodes and edges), provides a robust framework for analysing the structural and functional properties of biomolecules. By leveraging molecular dynamics (MD) simulations, atoms or groups of atoms can be represented as nodes, while their dynamic interactions are depicted as edges. This network-based approach facilitates the characterization of properties such as connectivity, centrality, and modularity, which are essential for understanding the behaviour of molecular systems. This review details the application and development of graph theory-based models in studying biomolecular systems. We introduce key concepts in graph theory and demonstrate their practical applications, illustrating how innovative graph theory approaches can be employed to design biomolecular systems with enhanced functionality. Specifically, we explore the integration of graph theoretical methods with MD simulations to gain deeper insights into complex biological phenomena, such as allosteric regulation, conformational dynamics, and catalytic functions. Ultimately, graph theory has proven to be a powerful tool in the field of molecular dynamics, offering valuable insights into the structural properties, dynamics, and interactions of molecular systems. This review establishes a foundation for using graph theory in molecular design and engineering, highlighting its potential to transform the field and drive advancements in the understanding and manipulation of biomolecular systems.
Next generation high-power laser facilities are expected to generate hundreds-of-MeV proton beams and operate at multi-Hz repetition rates, presenting opportunities for medical, industrial and scientific applications requiring bright pulses of energetic ions. Characterizing the spectro-spatial profile of these ions at high repetition rates in the harsh radiation environments created by laser–plasma interactions remains challenging but is paramount for further source development. To address this, we present a compact scintillating fiber imaging spectrometer based on the tomographic reconstruction of proton energy deposition in a layered fiber array. Modeling indicates that spatial resolution of approximately 1 mm and energy resolution of less than 10% at proton energies of more than 20 MeV are readily achievable with existing 100 μm diameter fibers. Measurements with a prototype beam-profile monitor using 500 μm fibers demonstrate active readouts with invulnerability to electromagnetic pulses, and less than 100 Gy sensitivity. The performance of the full instrument concept is explored with Monte Carlo simulations, accurately reconstructing a proton beam with a multiple-component spectro-spatial profile.
Objectives: Activities that require active thinking, like occupations, may influence cognitive function and its change over time. Associations between retirement and dementia risk have been reported, however the role of retirement age in these associations is unclear. We assessed associations of occupation and retirement age with cognitive decline in the US community-based Atherosclerosis Risk in Communities (ARIC)cohort.
Methods: We included 14,090 ARIC participants, followed for changes in cognition during up to 21 years. Information on current or most recent occupation was collected at ARIC baseline (1987–1989; participants aged 45–64 years) and categorized according to the 1980 US Census protocols and the Nam-Powers-Boyd occupational status score. Follow-up data on retirement was collected during 1999–2007 and classified as retired versus not retired at age 70. Trajectories of global cognitive factor scores from ARIC visit 2 (1990–1992) to visit 5 (2011–2013) were presented, and associations with occupation and age at retirement were studied using generalized estimating equation models, stratified by race and sex, and adjusted for demographics andcomorbidities.
Results: Mean age (SD) at first cognitive assessment was 57.0 (5.72) years. Higher occupational status and white- collar occupations were significantly associated with higher cognitive function at baseline. Occupation was associated with cognitive decline over 21 years only in women, and the direction of the effect on cognitive function differed between black and white women: in white women, the decline in cognitive function was greater in homemakers and low status occupations, whereas in black women, less decline was found in homemakers and low (compared to high) occupational status. Interestingly, retirement on or before age 70 was associated with less 21-year cognitive decline in all race-sex strata, except for blackwomen.
Conclusions: Associations between occupation, retirement age and cognitive function substantially differed by race and sex. Further research should explore reasons for the observed associations and race-sex differences.
Identifying persons with HIV (PWH) at increased risk for Alzheimer’s disease (AD) is complicated because memory deficits are common in HIV-associated neurocognitive disorders (HAND) and a defining feature of amnestic mild cognitive impairment (aMCI; a precursor to AD). Recognition memory deficits may be useful in differentiating these etiologies. Therefore, neuroimaging correlates of different memory deficits (i.e., recall, recognition) and their longitudinal trajectories in PWH were examined.
Design:
We examined 92 PWH from the CHARTER Program, ages 45–68, without severe comorbid conditions, who received baseline structural MRI and baseline and longitudinal neuropsychological testing. Linear and logistic regression examined neuroanatomical correlates (i.e., cortical thickness and volumes of regions associated with HAND and/or AD) of memory performance at baseline and multilevel modeling examined neuroanatomical correlates of memory decline (average follow-up = 6.5 years).
Results:
At baseline, thinner pars opercularis cortex was associated with impaired recognition (p = 0.012; p = 0.060 after correcting for multiple comparisons). Worse delayed recall was associated with thinner pars opercularis (p = 0.001) and thinner rostral middle frontal cortex (p = 0.006) cross sectionally even after correcting for multiple comparisons. Delayed recall and recognition were not associated with medial temporal lobe (MTL), basal ganglia, or other prefrontal structures. Recognition impairment was variable over time, and there was little decline in delayed recall. Baseline MTL and prefrontal structures were not associated with delayed recall.
Conclusions:
Episodic memory was associated with prefrontal structures, and MTL and prefrontal structures did not predict memory decline. There was relative stability in memory over time. Findings suggest that episodic memory is more related to frontal structures, rather than encroaching AD pathology, in middle-aged PWH. Additional research should clarify if recognition is useful clinically to differentiate aMCI and HAND.
In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.
Methods:
A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.
Results:
We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.
Conclusion:
The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.
Accounting for 53% of U.S. peanuts (Arachis hypogaea L.), Georgia is the top peanut-producing state, with approximately 1.42 billion kg produced in 2023. Peanut producers often use the acetolactate synthase (ALS) imidazolinone herbicide imazapic, but reduced yellow nutsedge (Cyperus esculentus L.) control was reported in Georgia peanuts after 4 yr of continuous imazapic use. This study aimed to determine the level of resistance (LD50, I50, and GR50) and potential cross-resistance for the suspected resistant population and to identify the associated genetic mutations conferring resistance. A susceptible biotype was treated with 0, 0.0088, 0.0175, 0.035, 0.07, 0.14, 0.28, and 0.56 kg ai ha−1, and a resistant biotype was sprayed with 0, 0.07, 0.14, 0.28, 0.56, 1.13, 2.26, and 4.5 kg ai ha−1 of imazapic. To determine whether the suspected resistant biotype was cross-resistant to halosulfuron-methyl, an ALS herbicide used to control Cyperus spp., both biotypes were treated with 0, 0.0117, 0.0233, 0.0466, 0.0933, 0.187, 0.373, and 0.746 g ai ha−1 of halosulfuron-methyl. Plants were rated for injury at 7, 14, and 28 d after treatment (DAT), and aboveground biomass was harvested at 28 DAT. For imazapic, LD50 was 0.041 and 1.503 kg ai ha−1 and the GR50 was estimated to be 0.0128 and 1.853 kg ha−1 for Sus and Res biotypes, respectively, indicating 36- and 145-fold increase in resistance of the Res biotype for I50 and GR50, respectively. Both biotypes responded similarly to applications of halosulfuron-methyl, with biomass reduction at rates greater than 0.023 kg ai ha−1. Transcriptome profiles revealed a mutation in the target-site gene of the resistant biotype causing an amino acid substitution from alanine to valine at position 205 (Ala-205-Val). Growers should continue to rotate chemistries and implement integrated weed management approaches for control of C. esculentus, as the use of imazapic over consecutive years has led to resistance in C. esculentus.
The progression of long-term diabetes complications has led to a decreased quality of life. Our objective was to evaluate the adverse outcomes associated with diabetes based on a patient’s clinical profile by utilizing a multistate modeling approach.
Methods:
This was a retrospective study of diabetes patients seen in primary care practices from 2013 to 2017. We implemented a five-state model to examine the progression of patients transitioning from one complication to having multiple complications. Our model incorporated high dimensional covariates from multisource data to investigate the possible effects of different types of factors that are associated with the progression of diabetes.
Results:
The cohort consisted of 10,596 patients diagnosed with diabetes and no previous complications associated with the disease. Most of the patients in our study were female, White, and had type 2 diabetes. During our study period, 5928 did not develop complications, 3323 developed microvascular complications, 1313 developed macrovascular complications, and 1129 developed both micro- and macrovascular complications. From our model, we determined that patients had a 0.1334 [0.1284, .1386] rate of developing a microvascular complication compared to 0.0508 [0.0479, .0540] rate of developing a macrovascular complication. The area deprivation index score we incorporated as a proxy for socioeconomic information indicated that patients who reside in more disadvantaged areas have a higher rate of developing a complication compared to those who reside in least disadvantaged areas.
Conclusions:
Our work demonstrates how a multistate modeling framework is a comprehensive approach to analyzing the progression of long-term complications associated with diabetes.
Stenotrophomonas maltophilia is a multidrug-resistant gram-negative bacillus that can cause serious infections but has limited treatment options. This study aims to establish trends in the treatment of S. maltophilia bloodstream infections (BSI) across the United States in Department of Veterans Affairs (VA) facilities.
Methods:
Data was evaluated over a 10-year timeframe (2012 to 2021) in this retrospective cohort study. Veterans with ≥ 1 blood culture with S. maltophilia within a VA medical encounter were included. Microbiology, pharmacy, and patient information were collected through national VA data sources and chart review. Descriptive statistics and Poisson regression were used to summarize patient demographics, facility characteristics, microbiologic data, and treatment trends.
Results:
A total of 374 blood cultures positive for S. maltophilia were identified across 75 VA facilities. Of 282 unique patients with BSI, the majority were male (93.6%), white (67.4%), with a mean age of 64 ± 13.1 years. Of those patients, 78% received treatment, 12.8% had a polymicrobial blood culture, and 5.3% had a documented sulfa allergy. Susceptibility results were most reported for trimethoprim-sulfamethoxazole (TMP-SMX), levofloxacin, and ceftazidime, with 4.5%, 4.3%, and 44.4% resistant isolates, respectively. Antibiotics most prescribed included TMP-SMX (41.5%) and levofloxacin (39.4%), followed by ciprofloxacin (13.8%) and ceftazidime (12.4%). Combination therapy was prescribed in 33% of patients. No significant trends were found with antibiotic utilization over time.
Conclusions:
TMP-SMX and levofloxacin were the most prescribed antibiotics for S. maltophilia BSI treatment. No significant changes were seen with antibiotic prescribing trends in Veterans from 2012 to 2021.
The global burden associated with common mental disorders is high, especially for people living in low resource settings. Although psychosocial interventions delivered by locally available lay or community health workers are effective, mechanisms of intervention response are poorly understood. One of the greatest barriers is that psychosocial interventions are administered as complex, multi-component “packages of care”.
Objectives
Our aim is to systematically review all the randomized controlled trials (RCTs) that have tested the efficacy of psychosocial interventions delivered through the task shifting modality to treat people suffering from common mental disorders (depression, anxiety, and related somatic complaints) in low resource settings, dismantle the intervention protocols creating a taxonomy of active intervention components, and re-evaluate their efficacy.
Methods
We will use the component network meta-analysis (cNMA) methodology. The major benefit of cNMA is the possibility to disentangle intervention components and explore their effectiveness separately or in various combinations (even in disconnected networks). cNMA increases statistical power by combining direct and indirect comparisons while fully respecting the randomized structure of the evidence. According to the additive cNMA model which we will implement, adding a component “c” to a composite intervention “X” will lead to an increase (or decrease) of the effect size by an amount only dependent on “c”, and not on “X”. We will denote the corresponding component specific incremental standard mean difference (iSMD) so that iSMDc = SMD(X+c) v. (X). Combining these component-specific iSMDs will allow the estimation of SMD between any two composite interventions.
Results
A network of comparisons and a hierarchy that includes all intervention components expressed as iSMD, indicating the added benefit of adding a component to an intervention, will be presented. By selecting the most effective components it will be possible to outline a novel task shifting psychosocial intervention to be tested in future RCTs.
Conclusions
These findings will set the basis for further investigations in the field of precision medicine. This project is funded by the European Union’s HORIZON EUROPE research programme under grant agreement No 101061648.
The use of smart technology in supporting older adults is a growing field of research. However, there is little qualitative research on the experiences of patients utilizing this technology, particularly those attending psychiatry services.
Objectives
To explore the experiences of staff and patients utilizing smart-hubs implemented during the Covid-19 pandemic to provide remote audio/visual communication and smart AI personal assistant technology for the management of patients in a rural Psychiatry of Old Age service.
Methods
Smart hubs were installed in patient homes and in the Psychiatry of Old Age base during the Covid-19 pandemic when lockdown restrictions limited in-person service provision. Patients and staff utilized the smart hubs for its assistive technology and to engage with each other. Semi-structured qualitative interviews were conducted of 10 staff and 15 patients at 6-12 months following the introduction of the smart hubs and thematic analysis was conducted to generate themes.
Results
Three themes were generated from the thematic analysis: 1) Openness to SMART hub technology, 2) Getting set-up and 3) Keeping SMART. The majority of participants did not have much experience using smart technology prior to the intervention. However, many participants reported that they would be comfortable using technology. The Covid-19 pandemic contributed to the rapid adoption of this intervention within the service with mixed views regarding the smart hub prior to implementation. The role of key individuals such as staff and family was highlighted in supporting older persons with setting-up the smart hub. Technical needs included the need for a strong internet connection and technical limitations were driven by privacy, cost and regional considerations. Many patients were able to utilize the smart hub independently to access interests, therapeutic activities and as a memory aid. The smart hub offered a novel way to connect to services and families and was also seen as a companion by some patients and staff to help address loneliness and isolation. The majority of participants found the use of smart hubs acceptable and were willing to utilize the smart hub in the future as an adjunct to face to face psychiatric interventions. However, suggestions for future use included the need for additional training as users felt that there was more they could do with the smart hub, continued support to manage any challenges and improved information leaflets to better engage users.
Conclusions
Smart hub technology offers an alternate means of providing remote and inclusive psychiatric care to older patients unable to access services in person and at risk of deterioration without intervention in the community.
Generalized anxiety disorder (GAD) is one of the most common mental disorders in adults. Psychotherapies are among the most recommended treatment choices for GAD, but which should be considered as first-line treatment still needs to be clarified.
Objectives
To examine the most effective and accepted psychotherapy for GAD both in the short and long-term, via a network meta-analysis.
Methods
We searched MEDLINE, Embase, PsycINFO, and the Cochrane Register of Controlled Trials – CENTRAL, from database inception to January 1st, 2023, to find randomized controlled trials (RCTs) of psychotherapies for GAD. Eight psychotherapies (behaviour therapy, cognitive-behaviour therapy, cognitive restructuring, psychoeducation, psychodynamic therapy, relaxation therapy, supportive psychotherapy, and third-wave CBTs) were compared with each other and two control conditions (treatment as usual, waiting list). We followed Cochrane standards when extracting data and assessing data quality and used PRISMA guidelines for the reporting. We conducted random-effects model pairwise and network meta-analyses. We assessed risk of bias of individual studies through the second version of the Cochrane’s Risk of Bias tool and used the Confidence in Network Meta-Analysis (CINeMA) to rate certainty of evidence for meta-analytical results. Severity of GAD symptoms and acceptability of the psychotherapies were our outcomes of interest.
Results
We analysed data from 66 RCTs. Effect size estimates on data from 5,597 participants suggest third wave cognitive-behavioural therapies (standardized mean differences [SMDs] =-0.78; 95%CI=-1.19 to -0.37; certainty=moderate), cognitive-behavioural therapy (CBT) (SMD=-0.68; 95%CI=-1.05 to -0.32 certainty=moderate), and relaxation therapy (SMD=-0.54; 95%CI=-1.04 to -0.05; certainty=low) reduced generalized anxiety symptoms more than treatment as usual (TAU). Relative risks for all-cause discontinuation signalled no differences compared with TAU for all psychotherapies. When excluding studies at high risk of bias, relaxation therapy lost its superiority over TAU. When considering anxiety severity at three to twelve months after completion of the intervention only CBT remained significantly more efficacious than TAU (SMD=-0.58; 95%CI=-0.93 to -0.23).
Image:
Conclusions
Given the evidence for both acute and long-term efficacy, CBT may represent the reasonable first-line psychological treatment for GAD. Third-wave CBT and relaxation therapy have short-term efficacy and may also be offered. Results from this investigation should inform patients, clinicians, and guidelines. This project is funded by the European Union’s HORIZON EUROPE research programme under grant agreement No 101061648.
Leveraging the National COVID-19 Cohort Collaborative (N3C), a nationally sampled electronic health records repository, we explored associations between individual-level social determinants of health (SDoH) and COVID-19-related hospitalizations among racialized minority people with human immunodeficiency virus (HIV) (PWH), who have been historically adversely affected by SDoH.
Methods:
We retrospectively studied PWH and people without HIV (PWoH) using N3C data from January 2020 to November 2023. We evaluated SDoH variables across three domains in the Healthy People 2030 framework: (1) healthcare access, (2) economic stability, and (3) social cohesion with our primary outcome, COVID-19-related hospitalization. We conducted hierarchically nested additive and adjusted mixed-effects logistic regression models, stratifying by HIV status and race/ethnicity groups, accounting for age, sex, comorbidities, and data partners.
Results:
Our analytic sample included 280,441 individuals from 24 data partner sites, where 3,291 (1.17%) were PWH, with racialized minority PWH having higher proportions of adverse SDoH exposures than racialized minority PWoH. COVID-19-related hospitalizations occurred in 11.23% of all individuals (9.17% among PWH, 11.26% among PWoH). In our initial additive modeling, we observed that all three SDoH domains were significantly associated with hospitalizations, even with progressive adjustments (adjusted odds ratios [aOR] range 1.36–1.97). Subsequently, our HIV-stratified analyses indicated economic instability was associated with hospitalization in both PWH and PWoH (aOR range 1.35–1.48). Lastly, our fully adjusted, race/ethnicity-stratified analysis, indicated access to healthcare issues was associated with hospitalization across various racialized groups (aOR range 1.36–2.00).
Conclusion:
Our study underscores the importance of assessing individual-level SDoH variables to unravel the complex interplay of these factors for racialized minority groups.
COVID-19 vaccine uptake in healthcare personnel (HCP) is poor. A cross-sectional survey study of behavioral health HCP was performed. Commonly identified reasons for vaccination were protecting others and oneself. Reasons against were a lack of perceived protection, dosing intervals, and side effects. Assessing vaccination attitudes can assist in uptake strategy.
Eustachian tube dysfunction is prevalent in both paediatric and adult populations. Current clinical guidelines recommend observation over topical intranasal corticosteroids for Eustachian tube dysfunction management, which remains controversial. This study aimed to systematically review randomised, controlled trials assessing topical intranasal corticosteroid efficacy in Eustachian tube dysfunction, and analyse effect through tympanometric normalisation.
Methods
PubMed, EMBASE, Web of Science and Cochrane Library databases were searched. All randomised, controlled trials assessing intranasal corticosteroids in adult or paediatric Eustachian tube dysfunction patients were included. A meta-analysis of proportions was used to evaluate tympanogram normalisation.
Results
Of 330 results, eight randomised, controlled trials met inclusion criteria and underwent qualitative data synthesis and risk-of-bias analysis. Meta-analysis of tympanometry data from four eligible trials (n = 512 ears) revealed no significant difference in tympanometric normalisation between intranasal corticosteroids and control (odds ratio 1.21, 95% confidence interval 0.65–2.24).
Conclusion
Study results do not strongly support intranasal corticosteroids for Eustachian tube dysfunction. Data were limited, emphasising the need for larger, higher quality, randomised, controlled trials.
The timing of tracheostomy for intensive care unit patients is controversial, with conflicting findings on early versus late tracheostomy.
Methods
Patients undergoing tracheostomy from 2001through 2012 were identified from the Medical Information Mart for Intensive Care-III database. Early tracheostomy was defined as less than the 25th percentile of time from intensive care unit admission to tracheostomy (time to tracheostomy). Statistical analysis for tracheostomy timing on intensive care unit length of stay and mortality were conducted.
Results
Of the 1,566 patients that were included, patients with early tracheostomy had shorter intensive care unit length of stay (27.32 vs 12.55 days, p < 0.001) and lower mortality (12.9 per cent vs 9.0 per cent, p = 0.039). Multivariate logistic regression analysis found an association between increasing time to tracheostomy and mortality (odds ratio: 1.029, 95 per cent confidence interval 1.007–1.051, p = 0.009).
Conclusion
Our analysis revealed that patients with early tracheostomy were more likely to have shorter intensive care unit lengths of stay and lower mortality. Our data suggest that early tracheostomy should be given strong consideration in appropriately selected patients.
The US National Action Plan for Combating Antibiotic-Resistant Bacteria established a goal to decrease unnecessary outpatient antibiotic use by 50%. However, data to inform this goal have been limited to medical settings and have not included dental prescribing. Thus, we sought to identify the proportion of antibiotics prescribed inappropriately by dentists to inform outpatient stewardship efforts.
Methods:
Cross-sectional analysis of 2019 Veterans’ Affairs (VA) national electronic health record data. Antibiotics prescribed by dentists were evaluated for appropriateness based on 2 definitions: one derived from current guidelines (consensus-based recommendations) and the other based on relevant clinical literature (nonconsensus). A clustered binomial logistic regression model determined factors associated with discordant prescribing.
Results:
In total, 92,224 antibiotic prescriptions (63% amoxicillin; mean supply, 8.0 days) were associated with 88,539 dental visits. Prophylaxis for complications in medically compromised patients was associated with the most (30.9%) antibiotic prescriptions, followed by prevention of postsurgical complications (20.1%) and infective endocarditis (18.0%). At the visit level, 15,476 (17.5%) met the consensus-based definition for appropriate antibiotic usage and 56,946 (64.3%) met the nonconsensus definition.
Conclusions:
More than half of antibiotics prescribed by dentists do not have guidelines supporting their use. Regardless of definition applied, antibiotics prescribed by dentists were commonly unnecessary. Improving prescribing by dentists is critical to reach the national goal to decrease unnecessary antibiotic use.