“Frailty” is associated with worse outcomes in adult cardiology. There is limited data on the associations between frailty and outcomes in paediatric cardiology. We aimed to define the prevalence of frailty and identify associations between frailty and neurodevelopmental and quality-of-life outcomes in high-risk paediatric cardiac populations.

This cross-sectional study included patients 4–18 years seen in a neurodevelopmental programme between 6/2017 and 11/2022. Demographic and clinical data were obtained from medical records. As part of the routine care, physical therapy assessment and neurocognitive, psychosocial, adaptive functioning, and quality-of-life surveys were administered. Social determinants of health were assessed by insurance status and Childhood Opportunity Index. Frailty was defined as the abnormality in 3 of 5 categories: body composition, weakness, slowness, physical activity, and exhaustion. Chi-Square, Student t, and Wilcoxon Rank Sum tests were used to assess differences between frail and non-frail groups.

Of the 270 patients, 101 (37%) met the frailty criteria. Frailty was not associated with social determinants of health, cardiac diagnosis, genetic syndrome, number of cardiac surgeries, or history of clinical complications. Frail patients were more likely to be older (p = 0.004) and have neurocognitive (p = 0.024), emotional (p = 0.003), social (p < 0.001), motor (p < 0.001), and adaptive dysfunction (p < 0.001) and lower quality of life (p = 0.029).

Frailty is common in school-aged patients with cardiac disease and is associated with adverse neurocognitive, psychosocial, motor, and adaptive outcomes and worse quality of life. Risk stratification for frailty may be a critical evaluation and screening element of high-risk cardiac patients in neurodevelopmental programmes.

Quality improvement programmes (QIPs) are designed to enhance patient outcomes by systematically introducing evidence-based clinical practices. The CONQUEST QIP focuses on improving the identification and management of patients with COPD in primary care. The process of developing CONQUEST, recruiting, preparing systems for participation, and implementing the QIP across three integrated healthcare systems (IHSs) is examined to identify and share lessons learned.

This review is organized into three stages: 1) development, 2) preparing IHSs for implementation, and 3) implementation. In each stage, key steps are described with the lessons learned and how they can inform others interested in developing QIPs designed to improve the care of patients with chronic conditions in primary care.

Stage 1 was establishing and working with steering committees to develop the QIP Quality Standards, define the target patient population, assess current management practices, and create a global operational protocol. Additionally, potential IHSs were assessed for feasibility of QIP integration into primary care practices. Factors assessed included a review of technological infrastructure, QI experience, and capacity for effective implementation.

Stage 2 was preparation for implementation. Key was enlisting clinical champions to advocate for the QIP, secure participation in primary care, and establish effective communication channels. Preparation for implementation required obtaining IHS approvals, ensuring Health Insurance Portability and Accountability Act compliance, and devising operational strategies for patient outreach and clinical decision support delivery.

Stage 3 was developing three IHS implementation models. With insight into the local context from local clinicians, implementation models were adapted to work with the resources and capacity of the IHSs while ensuring the delivery of essential elements of the programme.

Developing and launching a QIP programme across primary care practices requires extensive groundwork, preparation, and committed local champions to assist in building an adaptable environment that encourages open communication and is receptive to feedback.

To evaluate the motor proficiency, identify risk factors for abnormal motor scores, and examine the relationship between motor proficiency and health-related quality of life in school-aged patients with CHD.

Patients ≥ 4 years old referred to the cardiac neurodevelopmental program between June 2017 and April 2020 were included. Motor skills were evaluated by therapist-administered Bruininks-Oseretsky Test of Motor Proficiency Second-Edition Short Form and parent-reported Adaptive Behavior Assessment System and Patient-Reported Outcomes Measurement Inventory System Physical Functioning questionnaires. Neuropsychological status and health-related quality of life were assessed using a battery of validated questionnaires. Demographic, clinical, and educational variables were collected from electronic medical records. General linear modelling was used for multivariable analysis.

The median motor proficiency score was the 10th percentile, and the cohort (n = 272; mean age: 9.1 years) scored well below normative values on all administered neuropsychological questionnaires. In the final multivariable model, worse motor proficiency score was associated with family income, presence of a genetic syndrome, developmental delay recognised in infancy, abnormal neuroimaging, history of heart transplant, and executive dysfunction, and presence of an individualised education plan (p < 0.03 for all predictors). Worse motor proficiency correlated with reduced health-related quality of life. Parent-reported adaptive behaviour (p < 0.001) and physical functioning (p < 0.001) had a strong association with motor proficiency scores.

This study highlights the need for continued motor screening for school-aged patients with CHD. Clinical factors, neuropsychological screening results, and health-related quality of life were associated with worse motor proficiency.

We aim to analyze the efficacy and safety of TMS on cognition in mild cognitive impairment (MCI), Alzheimer’s disease (AD), AD-related dementias, and nondementia conditions with comorbid cognitive impairment.

Systematic review, Meta-Analysis

We searched MEDLINE, Embase, Cochrane database, APA PsycINFO, Web of Science, and Scopus from January 1, 2000, to February 9, 2023.

RCTs, open-label, and case series studies reporting cognitive outcomes following TMS intervention were included.

Cognitive and safety outcomes were measured. Cochrane Risk of Bias for RCTs and MINORS (Methodological Index for Non-Randomized Studies) criteria were used to evaluate study quality. This study was registered with PROSPERO (CRD42022326423).

The systematic review included 143 studies (n = 5,800 participants) worldwide, encompassing 94 RCTs, 43 open-label prospective, 3 open-label retrospective, and 3 case series. The meta-analysis included 25 RCTs in MCI and AD. Collectively, these studies provide evidence of improved global and specific cognitive measures with TMS across diagnostic groups. Only 2 studies (among 143) reported 4 adverse events of seizures: 3 were deemed TMS unrelated and another resolved with coil repositioning. Meta-analysis showed large effect sizes on global cognition (Mini-Mental State Examination (SMD = 0.80 [0.26, 1.33], p = 0.003), Montreal Cognitive Assessment (SMD = 0.85 [0.26, 1.44], p = 0.005), Alzheimer’s Disease Assessment Scale–Cognitive Subscale (SMD = −0.96 [−1.32, −0.60], p < 0.001)) in MCI and AD, although with significant heterogeneity.

The reviewed studies provide favorable evidence of improved cognition with TMS across all groups with cognitive impairment. TMS was safe and well tolerated with infrequent serious adverse events.

The Test of Memory Malingering (TOMM) is a performance validity test (PVT) that aims to assess whether participants are giving adequate effort to perform well on tasks of memory performance (Tombaugh, 1996). Other PVTs, specifically the Forced Choice Recognition Trial in the California Verbal Learning Test, have shown that even single errors may indicate invalid performance (Erdodi et al., 2018). Finally, youth are often understudied in the PVT literature, and athletes are at increased risk of invalid performance on baseline testing due to many wanting to return to play following concussion (Erdal, 2012). Therefore, the objective of the current study is to examine whether single errors on TOMM Trial 1 are indicative of lower, and possibly invalid, cognitive performance in a youth sample, given that cognitive performance declines with even small decreases in effort (Green, 2007).

Healthy youth athletes (n=174) aged 8-16 years (M=12.07) completed the TOMM as well as other neuropsychological measures during baseline neuropsychological evaluation in a clinical research program for sports concussion. Independent samples t-tests compared youth athletes who scored 49 points on the TOMM (n=28) to youth athletes who scored a perfect 50 (n=50) across several groupings of neuropsychological measures. Participants who scored less than 49 or who didn’t complete the TOMM were excluded from the analyses.

Participants scoring 50/50 on TOMM Trial 1 scored significantly higher on Stroop Color Naming task (p=0.036), Verbal Learning Delayed task from the second edition of the Wide Range Assessment of Learning and Memory (WRAML-2, p=0.018), and Letter Number Sequencing task from the Weschler Intelligence Scale for Children (WISC-IV, p=0.025), relative to participants scoring 49/50. Though not statistically significant, results also showed a trend toward participants scoring 50/50 scoring higher on nearly every test in the battery.

Participants with a single error on TOMM Trial 1, as compared to participants with a perfect score, performed significantly worse on a processing speed task, a verbal learning task, and a working memory task as part of a comprehensive neuropsychological battery. The single-error group also trended toward scoring lower on nearly all of the remaining attention, processing speed, perceptual ability, memory, and executive functioning tasks in the battery. The results could lead to a more liberal interpretation of TOMM scores, given that the trend towards lower performance may be due to putting forth significantly less effort. These results point to the need for a similar comparison of the TOMM in a larger sample size, as greater power may reveal even more significant differences in performance. Findings also emphasize the importance of viewing performance validity on a continuum rather than as a dichotomous pass/fail. Understanding the TOMM and how single errors may be indicative of poorer performance in a youth sample could help to reframe the way PVT results are interpreted in clinical and forensic settings.

Engagement in sporting activities has shown improvement in executive function among youth (Contreras-Osorio et al., 2021). Additionally, participation in specific sports such as soccer has been shown to enhance executive function in youth athletes compared to same-aged non-athletes (Yongtawee et al., 2021). The present study aimed to examine the effects of competitive participation in the United States’ four most popular sports on executive function among youth athletes. The most popular sports, as defined by viewership, revenue, and youth participation in the U.S. are American football, basketball, baseball, and soccer (Injai, 2022; Aspen Institute, 2020).

Data from the following three executive functioning subtests were analyzed in a sample of youth athletes (n=76), aged 8-18 years (mean age=11.94): Delis-Kaplan Executive Function System Trail Making Letter-Number Sequencing (cognitive flexibility), Wechsler Intelligence Scale for Children Fourth Edition Working Memory Index, and Golden Stroop Color-Word Inhibition. Participants completed these measures as part of a larger neuropsychological baseline assessment. Multivariate General Linear Model (GLM) regression was used to examine the influence of total cumulative years playing in one or more of the four most popular sports on executive functioning. A multivariate GLM regression also investigated the unique contributions of total years playing soccer (n=40; mean age=12.40) and total years playing American football (n=32; mean age=12.03) on subtest performance. The unique contributions of basketball (n=14) and baseball (n=21) were not analyzed due to small sample size.

Total cumulative years playing > one of the four most popular sports significantly predicted cognitive flexibility (p=.007) and working memory (p=.002), but not inhibition (p=0.639). Total years playing soccer also significantly predicted cognitive flexibility (p=.029) and working memory (p=0.05), but not inhibition (p=.310). Total years playing American football did not significantly predict performance on tasks requiring cognitive flexibility (p=.186), working memory (p=0.150), or inhibition (p=0.277).

In congruence with previous research, sports participation predicted enhanced cognitive flexibility and working memory on certain executive tasks. Among youth athletes, prolonged competitive participation in one or more of the four most popular sports in the U.S. predicted better performance on measures of cognitive flexibility and working memory. Furthermore, protracted participation in soccer predicted enhanced performance on measures of cognitive flexibility and working memory, whereas extended participation in American football did not. Future research should examine this effect in larger samples within all four sports. Examining the cumulative length of competitive participation in these popular sports on executive function could present a favorable developmental outcome of youth participation if competitive participation is sustained. Additionally, the present data on executive function performance between lasting soccer participation and lasting American football participation suggests that executive function development and performance may be influenced by the sport played. The direction of this possible influence is unclear. More research is needed to establish this observed difference, and to better understand its existence and directionality.

Neurocognitive impairment and quality of life are two important long-term challenges for patients with complex CHD. The impact of re-interventions during adolescence and young adulthood on neurocognition and quality of life is not well understood.

In this prospective longitudinal multi-institutional study, patients 13–30 years old with severe CHD referred for surgical or transcatheter pulmonary valve replacement were enrolled. Clinical characteristics were collected, and executive function and quality of life were assessed prior to the planned pulmonary re-intervention. These results were compared to normative data and were compared between treatment strategies.

Among 68 patients enrolled from 2016 to 2020, a nearly equal proportion were referred for surgical and transcatheter pulmonary valve replacement (53% versus 47%). Tetralogy of Fallot was the most common diagnosis (59%) and pulmonary re-intervention indications included stenosis (25%), insufficiency (40%), and mixed disease (35%). There were no substantial differences between patients referred for surgical and transcatheter therapy. Executive functioning deficits were evident in 19–31% of patients and quality of life was universally lower compared to normative sample data. However, measures of executive function and quality of life did not differ between the surgical and transcatheter patients.

In this patient group, impairments in neurocognitive function and quality of life are common and can be significant. Given similar baseline characteristics, comparing changes in neurocognitive outcomes and quality of life after surgical versus transcatheter pulmonary valve replacement will offer unique insights into how treatment approaches impact these important long-term patient outcomes.

Prospective audit and feedback (PAF) is an established practice in critical care settings but not in surgical populations. We pilot-tested a structured face-to-face PAF program for our acute-care surgery (ACS) service.

This was a mixed-methods study. For the quantitative analysis, the structured PAF period was from August 1, 2017, to April 30, 2019. The ad hoc PAF period was from May 1, 2019, to January 31, 2021. Interrupted time-series segmented negative binomial regression analysis was used to evaluate change in antimicrobial usage measured in days of therapy per 1,000 patient days for all systemic and targeted antimicrobials. Secondary outcomes included C. difficile infections, length of stay and readmission within 30 days. Each secondary outcome was analyzed using a logistic regression or negative binomial regression model. For the qualitative analyses, all ACS surgeons and trainees from November 23, 2015, to April 30, 2019, were invited to participate in an email-based anonymous survey developed using implementation science principles. Responses were measured using counts.

In total, 776 ACS patients were included in the structured PAF period and 783 patients were included in the in ad hoc PAF period. No significant changes in level or trend for antimicrobial usage were detected for all and targeted antimicrobials. Similarly, no significant differences were detected for secondary outcomes. The survey response rate was 25% (n = 10). Moreover, 50% agreed that PAF provided them with skills to use antimicrobials more judiciously, and 80% agreed that PAF improved the quality of antimicrobial treatment for their patients.

Structured PAF showed clinical outcomes similar to ad hoc PAF. Structured PAF was well received and was perceived as beneficial by surgical staff.