Evaluation of adult antibiotic order sets (AOSs) on antibiotic stewardship metrics has been limited. The primary outcome was to evaluate the standardized antimicrobial administration ratio (SAAR). Secondary outcomes included antibiotic days of therapy (DOT) per 1,000 patient days (PD); selected antibiotic use; AOS utilization; Clostridioides difficile infection (CDI) cases; and clinicians’ perceptions of the AOS via a survey following the final study phase.

This 5-year, single-center, quasi-experimental study comprised 5 phases from 2017 to 2022 over 10-month periods between August 1 and May 31.

The study was conducted in a 752-bed tertiary care, academic medical center.

Our institution implemented AOSs in the electronic medical record (EMR) for common infections among hospitalized adults.

For the primary outcome, a statistically significant decreases in SAAR were detected from phase 1 to phase 5 (1.0 vs 0.90; P < .001). A statistically significant decreases were detected in DOT per 1,000 PD (4,884 vs 3,939; P = .001), fluoroquinolone orders (407 vs 175; P < .001), carbapenem orders (147 vs 106; P = .024), and clindamycin orders (113 vs 73; P = .01). No statistically significant change in mean vancomycin orders was detected (991 vs 902; P = .221). A statistically significant decrease in CDI cases was also detected (7.8, vs 2.4; P = .002) but may have been attributable to changes in CDI case diagnosis. Clinicians indicated that the AOSs were easy to use overall and that they helped them select the appropriate antibiotics.

Implementing AOS into the EMR was associated with a statistically significant reduction in SAAR, antibiotic DOT per 1,000 PD, selected antibiotic orders, and CDI cases.

The cardiovascular adaptations associated with structured exercise training in Fontan patients remain unknown. We hypothesised that short-term training causes cardiac remodelling and parallel improvement in maximal exercise capacity (VO2 max) in these patients.

Five patients, median age 19.5 (17.6–21.3) years, with a history of Fontan operation meeting inclusion/exclusion criteria, participated in a 3-month training programme designed to improve endurance. Magnetic resonance images for assessment of cardiac function, fibrosis, cardiac output, and liver elastography to assess stiffness were obtained at baseline and after training. Maximal exercise capacity (VO2 max) and cardiac output Qc (effective pulmonary blood flow) at rest and during exercise were measured (C2H2 rebreathing) at the same interval. VO2 max increased from median (IQR) 27.2 (26–28.7) to 29.6 (28.5–32.2) ml/min/kg (p = 0.04). There was an improvement in cardiac output (Qc) during maximal exercise testing from median (IQR) 10.3 (10.1–12.3) to 12.3 (10.9–14.9) l/min, but this change was variable (p = 0.14). Improvement in VO2 max correlated with an increase in ventricular mass (r = 0.95, p = 0.01), and improvement in Quality-of-life inventory (PedsQL) Cardiac scale scores for patient-reported symptoms (r = 0.90, p = 0.03) and cognitive problems (r = 0.89, p = 0.04). The correlation between VO2 max and Qc showed a positive trend but was not significant (r = 0.8, p = 0.08). No adverse cardiac or liver adaptations were noted.

Short-term training improved exercise capacity in this Fontan pilot without any adverse cardiac or liver adaptations. These results warrant further study in a larger population and over a longer duration of time.

NCT03263312, Unique Protocol ID: STU 122016-037; Registration Date: 18 January, 2017.

Perinatal substance abuse (PSA) is associated with increased risk of prematurity, low birth weight, neonatal abstinence syndrome, behavioral issues and learning difficulties. It is imperative that robust care pathways are in place for these high-risk pregnancies and that staff and patient education are optimized. The present study explores the knowledge and attitudes of healthcare professionals toward PSA to identify knowledge gaps to enhance care and reduce stigma.

This is a cross-sectional study using questionnaires to survey healthcare professionals (HCPs) working in a tertiary maternity unit (n = 172).

The majority of HCPs were not confident in the antenatal management (75.6%, n = 130) or postnatal management (67.5%, n = 116) of PSA. More than half of HCPs surveyed (53.5%, n = 92) did not know the referral pathway and 32% (n = 55) did not know when to make a TUSLA referral. The vast majority (96.5%, n = 166) felt that they would benefit from further training, and 94.8% (n = 163) agreed or strongly agreed that the unit would benefit from a drug liaison midwife. Among study participants, 54.1% (n = 93) agreed or strongly agreed that PSA should be considered a form of child abuse and 58.7% (n = 101) believe that the mother is responsible for damage done to her child.

Our study highlights the urgent need for increased training on PSA to enhance care and reduce stigma. It is imperative that staff training, drug liaison midwives and dedicated clinics are introduced to hospitals as a matter of high priority.

Underrepresented researchers face more challenges than their well-represented counterparts. Perseverance and consistency of interest are associated with career success in well-represented physicians. Therefore, we examined associations of perseverance and consistency of interest with Clinical Research Appraisal Inventory (CRAI), science identity, and other factors related to career success among underrepresented post-doctoral fellows and early-career faculty.

This is a cross-sectional analysis of data collected from September to October 2020 among 224 underrepresented early-career researchers at 25 academic medical centers in the Building Up Trial. We used linear regression to test associations of perseverance and consistency of interest scores with CRAI, science identity, and effort/reward imbalance (ERI) scores.

The cohort is 80% female, 33% non-Hispanic Black, and 34% Hispanic. The median perseverance and consistency of interest scores were 3.8 (25th–75th percentile: 3.7,4.2) and 3.7 (25th–75th percentile: 3.2, 4.0), respectively. Higher perseverance was associated with a higher CRAI score (β = 0.82; 95% CI = 0.30, 1.33, p = 0.002) and science identity (β = 0.44; 95% CI = 0.19, 0.68, p = 0.001). Higher consistency of interest was associated with a higher CRAI score (β = 0.60; 95% CI = 0.23, 0.96, p = 0.001) and higher science identity score (β = 0.20; 95% CI = 0.03, 0.36, p = 0.02), while lower consistency of interest was associated with imbalance favoring effort (β = –0.22; 95% CI = –0.33, –0.11, p = 0.001).

We found that perseverance and consistency of interest are related to CRAI and science identity, indicating that these factors may positively influence one’s decision to stay in research.

Social unrest tied to racism negatively impacted half of NIH-funded extramural researchers underrepresented (UR) in science. UR early-career scientists encounter more challenges in their research careers, but the impact of social unrest due to systemic racism in this group is unclear. We used mixed methods to describe the impact of social unrest due to systemic racism on mentoring relationships, research, and psychological well-being in UR post-doctoral fellows and early-career faculty.

This is a cross-sectional analysis of data collected in September 2021–January 2022 from 144 UR early-career researchers from 25 academic medical centers in the Building Up Trial. The primary outcomes were agreement on five-point Likert scales with social unrest impact statements (e.g., “I experienced psychological distress due to events of social unrest regarding systemic racism”). Thematic analysis was conducted on responses to one open-ended question assessing how social unrest regarding systemic racism affected participants.

Most participants were female (80%), non-Hispanic Black (35%), or Hispanic (40%). Over half of participants (57%) experienced psychological distress as a result of social unrest due to systemic racism. Participants described direct and indirect discrimination and isolation from other persons of color at their institutions. Twice as many participants felt their mentoring relationships were positively (21%) versus negatively (11%) impacted by social unrest due to systemic racism.

Experiences with racial bias and discrimination impact the career and well-being of UR early-career researchers. Mentoring relationships and institutional support play an important role in buffering the negative impact of racial injustice for this population.

Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.

To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder.

This study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi+Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework.

The best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data.

Using PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.

Informal carers play an essential role in the care of individuals with Parkinson’s disease (PD). This role, however, is often fraught with difficulties, including emotional, physical, and financial. Coping styles and relationship quality have been hypothesized to influence the impact of stressors. The aim of this study is to examine the relationship between carers’ coping style, relationship quality, and carer burden.

Cross-sectional.

Thirty-nine PD patient carer dyads were included in the study.

Participants completed self-rated questionnaires including the Dyadic Adjustment Scale, Zarit Burden Interview, and Brief Coping Orientation to Problems Experienced Inventory.

Correlational analyses found significant and positive correlation between carer burden and all three coping styles (problem-focused, emotion-focused, and dysfunctional). There was also a moderate association between carers’ perceived relationship quality and satisfaction and carer burden. Regression analyses found that carer’s gender, severity of PD, relationship quality, emotion-focused, and dysfunctional coping styles did not predict carer burden. Conversely, problem-focused coping style predicted carer burden.

The results highlight that there is no perfect way to react and care for a loved one and serves as important information for practitioners who design and implement interventions.

The aim of this study was to identify any relationship between hearing loss and mild cognitive impairment.

This was a systematic review and meta-analysis of randomised controlled trials conducted using Medline and the Cochrane Library up to 24 June 2020. Prospective, cohort and cross-sectional, and observational studies that reported on the relationship between mild cognitive impairment and hearing loss were included.

A total of 34 studies reporting data on 48 017 participants were included. Twenty-three studies observed a significant association between hearing loss and mild cognitive impairment. The pooled risk ratio across all studies of prevalence of mild cognitive impairment in people with hearing loss was 1.44 (random-effects; 95 per cent CI = 1.27–1.64; p < 0.00001; I2 = 0 per cent). Significantly more people with mild cognitive impairment had peripheral hearing loss compared with those without (risk ratio, 1.40 random-effects; 95 per cent CI = 1.10–1.77; p = 0.005; I2 = 0 per cent). When the incidence was studied, significantly more people with peripheral hearing loss had mild cognitive impairment compared with those without (risk ratio = 2.06 random-effects; 95 per cent CI = 1.35–3.15; p = 0.0008; I2 = 97 per cent); however; a high level of statistical heterogeneity was evident.

Most of the studies included in this systematic review observed a significant association between hearing loss and mild cognitive impairment.

To determine the frequency and predictors of antibiotic escalation in response to the inpatient sepsis screen at our institution.

Retrospective cohort study.

Two affiliated academic medical centers in Los Angeles, California.

Hospitalized patients aged 18 years and older who had their first positive sepsis screen between January 1, 2019, and December 31, 2019, on acute-care wards.

We described the rate and etiology of antibiotic escalation, and we conducted multivariable regression analyses of predictors of antibiotic escalation.

Of the 576 cases with a positive sepsis screen, antibiotic escalation occurred in 131 cases (22.7%). New infection was the most documented etiology of escalation, with 76 cases (13.2%), followed by known pre-existing infection, with 26 cases (4.5%). Antibiotics were continued past 3 days in 17 cases (3.0%) in which new or existing infection was not apparent. Abnormal temperature (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.91–4.70) and abnormal lactate (aOR, 2.04; 95% CI, 1.28–3.27) were significant predictors of antibiotic escalation. The patient already being on antibiotics (aOR, 0.54; 95% CI, 0.34–0.89) and the positive screen occurred during a nursing shift change (aOR, 0.36; 95% CI, 0.22–0.57) were negative predictors. Pneumonia was the most documented new infection, but only 19 (50%) of 38 pneumonia cases met full clinical diagnostic criteria.

Inpatient sepsis screening led to a new infectious diagnosis in 13.2% of all positive sepsis screens, and the risk of prolonged antibiotic exposure without a clear infectious source was low. Pneumonia diagnostics and lactate testing are potential targets for future stewardship efforts.