A new histopathology scoring protocol reveals myopathy features in PSE-like pork

Pale, Soft, and Exudative (PSE)-like pork defects are associated with fiber destruction and pale discoloration and have become a severe economic burden for the European meat sector. However, robust detection of PSE-like pork and its diverse features is challenging and makes studies into defect causation difficult. Implementation of histological examination may improve our knowledge about less-known features linked to PSE-like defects. Here we evaluate if a new histological protocol can reveal how myopathy in ham may be associated with visual and traditional physicochemical anomalies of PSE-like pork. We first created a list of pathological features, quantified them, and integrated them into a myodegeneration scoring scheme (MYO) for semimembranosus muscle sections. We then explored potential associations between overall MYO scoring and individual histology features with visual PSE-like defect scoring (DES) and with individual meat quality variables [pHu, color: L*, a*, b* (CIELAB), bioimpedance, and near-infrared spectroscopy (NIR)]. As the primary finding of this study, we show a significant association between overall myopathy (MYO) scoring and PSE-like defect (DES) scores. We also found associations of specific myopathy features with DES scores, and of overall MYO scoring with specific quality variables. In all, our data suggest links between signs of acute myodegeneration and PSE-like defects. Our data, hence, supports the implementation of semi-quantitative histopathological approaches for diagnosing PSE-like pork features and may help identify the underlying mechanisms behind these defects.

Improvement in quality of life of transfemoral amputees: Comparison between 2 types of transfemoral sockets and their influence on functionality and user comfort - A case report

Among the components of lower limb prostheses, a perfectly adapted prosthetic socket is crucial to a successful rehabilitation process. Thus, developing a more comfortable socket could improve the quality of life for transfemoral (TF) amputees. The objective of this case report was to compare 2 TF sockets by evaluating the relationship between socket stiffness and user comfort and their influence on functionality to improve the quality of life of TF amputees. The participant received 2 different sockets: (A) flexible Flixt® socket; (B) conventional socket. He used each socket for 90 days, and after that was submitted to an evaluation at the Gait Laboratory (kinematic and dynamic analyses), completed the Prosthesis Evaluation Questionnaire, and performed Timed Up and Go test, 6-Minute March Test (6MWT), 10-Meter Walk Test, and Amputee Mobility Predictor test. After results were analyzed, the socket that obtained the best degree of satisfaction was assigned to the amputee participant. Combined measures showed that socket B does not considerably change the kinematic parameters neither dynamics parameters namely at stance phase. At Prosthesis Evaluation Questionnaire results, socket A had a better rating than socket B. The results of the Timed Up and Go test, 6MWT, 10-Meter Walk Test, and Amputee Mobility Predictor test obtained identical values, except for the 6MWT. This case report shows evidence of participant satisfaction improvement when using the flexible socket. The study also demonstrates that both sockets are quite effective.

Fast and Efficient Root Phenotyping via Pose Estimation

Image segmentation is commonly used to estimate the location and shape of plants and their external structures. Segmentation masks are then used to localize landmarks of interest and compute other geometric features that correspond to the plant's phenotype. Despite its prevalence, segmentation-based approaches are laborious (requiring extensive annotation to train) and error-prone (derived geometric features are sensitive to instance mask integrity). Here, we present a segmentation-free approach that leverages deep learning-based landmark detection and grouping, also known as pose estimation. We use a tool originally developed for animal motion capture called SLEAP (Social LEAP Estimates Animal Poses) to automate the detection of distinct morphological landmarks on plant roots. Using a gel cylinder imaging system across multiple species, we show that our approach can reliably and efficiently recover root system topology at high accuracy, few annotated samples, and faster speed than segmentation-based approaches. In order to make use of this landmark-based representation for root phenotyping, we developed a Python library (sleap-roots) for trait extraction directly comparable to existing segmentation-based analysis software. We show that pose-derived root traits are highly accurate and can be used for common downstream tasks including genotype classification and unsupervised trait mapping. Altogether, this work establishes the validity and advantages of pose estimation-based plant phenotyping. To facilitate adoption of this easy-to-use tool and to encourage further development, we make sleap-roots, all training data, models, and trait extraction code available at: https://github.com/talmolab/sleap-roots and https://osf.io/k7j9g/.

Quantitative brainstem and spinal MRI in amyotrophic lateral sclerosis: implications for predicting noninvasive ventilation needs

BACKGROUND

Respiratory complications resulting from motor neurons degeneration are the primary cause of death in amyotrophic lateral sclerosis (ALS). Predicting the need for non-invasive ventilation (NIV) in ALS is important for advance care planning and clinical trial design. The aim of this study was to assess the potential of quantitative MRI at the brainstem and spinal cord levels to predict the need for NIV during the first six months after diagnosis.

METHODS

Forty-one ALS patients underwent MRI and spirometry shortly after diagnosis. The need for NIV was monitored according to French health guidelines for 6 months. The performance of four regression models based on: clinical variables, brainstem structures volumes, cervical spinal measurements, and combined variables were compared to predict the need for NIV within this period.

RESULTS

Both the clinical model (R2 = 0.28, AUC = 0.85, AICc = 42.67, BIC = 49.8) and the brainstem structures' volumes model (R2 = 0.30, AUC = 0.85, AICc = 40.13, BIC = 46.99) demonstrated good predictive performance. In addition, cervical spinal cord measurements model similar performance (R2 = 0.338, AUC = 0.87, AICc = 37.99, BIC = 44.49). Notably, the combined model incorporating predictors from all three models yielded the best performance (R2 = 0.60, AUC = 0.959, AICc = 36.38, BIC = 44.8). These findings are supported by observed positive correlations between brainstem volumes, cervical (C4/C7) cross-sectional area, and spirometry-measured lung volumes.

CONCLUSIONS

Our study shows that brainstem volumes and spinal cord area are promising measures to predict respiratory intervention needs in ALS.

Fast and efficient root phenotyping via pose estimation

Image segmentation is commonly used to estimate the location and shape of plants and their external structures. Segmentation masks are then used to localize landmarks of interest and compute other geometric features that correspond to the plant's phenotype. Despite its prevalence, segmentation-based approaches are laborious (requiring extensive annotation to train), and error-prone (derived geometric features are sensitive to instance mask integrity). Here we present a segmentation-free approach which leverages deep learning-based landmark detection and grouping, also known as pose estimation. We use a tool originally developed for animal motion capture called SLEAP (Social LEAP Estimates Animal Poses) to automate the detection of distinct morphological landmarks on plant roots. Using a gel cylinder imaging system across multiple species, we show that our approach can reliably and efficiently recover root system topology at high accuracy, few annotated samples, and faster speed than segmentation-based approaches. In order to make use of this landmark-based representation for root phenotyping, we developed a Python library (sleap-roots) for trait extraction directly comparable to existing segmentation-based analysis software. We show that landmark-derived root traits are highly accurate and can be used for common downstream tasks including genotype classification and unsupervised trait mapping. Altogether, this work establishes the validity and advantages of pose estimation-based plant phenotyping. To facilitate adoption of this easy-to-use tool and to encourage further development, we make sleap-roots, all training data, models, and trait extraction code available at: https://github.com/talmolab/sleap-roots and https://osf.io/k7j9g/.

A Systematic Approach to Restoring Full Arch Length with Maxillary Fixed Implant Reconstruction: The PATZi Protocol

The traditional configuration of four maxillary implants to restore full-arch maxillary fixed implant prostheses is not without pitfalls. Intraoperative variability, such as bone quality and quantity, may lead to unexpected intraoperative challenges that may not allow for execution of the original treatment plan. Additionally, extensive maxillary sinus pneumatization may inhibit posterior spread and lead to a shortened dental arch or excessive cantilever forces. The PATZi protocol is a systematized algorithm for maxillary full-arch implant treatment planning that addresses such intraoperative surprises and achieves full arch length in the planned prosthesis. PATZi also assigns a numbering classification to each implant configuration, which leads to uniform communication and grading of surgical difficulty, as well as predictable planning for developing future salvage plans. By using the PATZi protocol as a guideline, the surgeon may improve composite torque value and anteroposterior (AP) spread, eliminate distal cantilever forces, and ultimately improve the predictability of the prosthetic treatment plan.

Cardiovascular events more than 6 months after pregnancy in patients with congenital heart disease

OBJECTIVES

Patients with congenital heart disease (CHD) are increasingly pursuing pregnancy, highlighting the need for data on late cardiovascular events (more than 6 months after delivery). We aimed to determine the incidence of late cardiovascular events in postpartum patients with CHD and evaluate the accuracy of the existing risk scores in predicting these events.

STUDY DESIGN

We identified patients with CHD who delivered between 2008 and 2020 at a tertiary centre and had follow-up data for greater than 6 months post partum. Late cardiovascular events were defined as heart failure, arrhythmia, thromboembolic events, endocarditis, urgent cardiovascular interventions or death. Survival analysis and Cox proportional model were used to estimate the incidence of late cardiovascular events and determine the hazard ratio of factors associated with these events.

RESULTS

Of 117 patients, 19% had 36 late cardiovascular events over a median follow-up of 3.8 years. Annual incidence of any late cardiovascular event was 5.7%. Hazards of late cardiovascular events were significantly higher among those with higher Cardiac Disease in Pregnancy Study (CARPREG) II and Zwangerschap bij Aangeboren HARtAfwijking-Pregnancy in Women With Congenital Heart Disease (ZAHARA) risk scores and among patients with prepregnancy New York Heart Association class≥II. C-statistic to predict the late cardiovascular events was highest for ZAHARA (0.7823), followed by CARPREG II (0.6902) and prepregnancy New York Heart Association class≥ II (0.6677).

CONCLUSIONS

Currently available risk tools designed for prognostication during the peripartum period can also be used to determine risks of late maternal cardiovascular events among those with CHD. These findings provide important new information for counselling and risk modification.

Preparedness and response of assisted living facilities toward COVID-19 infection control in Houston, Texas, USA

Background

Long-term care facilities (LTCFs) including assisted living facilities (ALFs) are hubs for high transmission and poor prognosis of COVID-19 among the residents who are more susceptible due to old age and comorbidities.

Aim

Houston Health Department conducted assessments of ALFs within the City of Houston to determine preparedness and existing preventive measures at the facilities.

Methods

Onsite assessments were conducted at ALFs using a modified CDC Infection Control Assessment and Response (ICAR) Tool. Data was obtained on IPC measures, training, testing, vaccination etc. Data was analyzed, frequencies generated, and bivariate associations determined.

Results

A total of 118 facilities were assessed and categorized into small scale 46 (39%), medium scale 47 (40%), and large scale 25 (21%). The facilities had 2431 residents and 2290 staff. Thirty-one (26%) facilities reported an outbreak in 2020, while 14 (12%) had an ongoing outbreak. Twenty-three (97%) large-scale and 12 (26%) small-scale facilities had COVID-19 testing program. Vaccination coverage among residents ranged from 99% in large-scale to 40% in small-scale facilities but was smaller among staff at 748 (45%) in large scale, 71 (36%) in small scale, and 193 (45%) in medium scale. While 24 (96%) large-scale and 34 (77%) of small-scale facilities conducted staff training staff on IPC practices, 22 (92%) of large-scale and 19 (56%) of small-scale facility staff demonstrated capacity (p = 0.01), respectively. Visitor screening was done at 100% of large-scale and 80% of small-scale and the medium-scale ALFs.

Discussion

Assisted living facilities within the city of Houston are at various levels of preparedness and interventions with respect to COVID-19 response.

Impact of hepatitis C cure on risk of mortality and morbidity in people with HIV after antiretroviral therapy initiation

OBJECTIVE

Hepatitis C virus (HCV) co-infection is associated with increased morbidity and mortality in people with HIV (PWH). Sustained virological response (SVR) decreases the risk of HCV-associated morbidity. We compared mortality, risk of AIDS-defining events, and non-AIDS nonliver (NANL) cancers between HCV-co-infected PWH who reached SVR and mono-infected PWH.

DESIGN

Adult PWH from 21 cohorts in Europe and North America that collected HCV treatment data were eligible if they were HCV-free at the time of ART initiation.

METHODS

Up to 10 mono-infected PWH were matched (on age, sex, date of ART start, HIV acquisition route, and being followed at the time of SVR) to each HCV-co-infected PWH who reached SVR. Cox models were used to estimate relative hazards (hazard ratio) of all-cause mortality, AIDS-defining events, and NANL cancers after adjustment.

RESULTS

Among 62 495 PWH, 2756 acquired HCV, of whom 649 reached SVR. For 582 of these, at least one mono-infected PWH could be matched, producing a total of 5062 mono-infected PWH. The estimated hazard ratios comparing HCV-co-infected PWH who reached SVR with mono-infected PWH were 0.29 [95% confidence interval (CI) 0.12-0.73] for mortality, 0.85 [0.42-1.74] for AIDS-defining events, and 1.21 [0.86-1.72] for NANL cancer.

CONCLUSION

PWH who reached SVR a short time after HCV acquisition were not at higher risk of overall mortality compared with mono-infected PWH. However, the apparent higher risk of NANL cancers in HCV-co-infected PWH who reached SVR after a DAA-based treatment compared with mono-infected PWH, though compatible with a null association, suggests a need for monitoring of those events following SVR.

Cognitive function and impact on driving after SARS-COV-2 infection in a man with long-standing HIV infection: a case report

A substantial number of individuals who experience COVID-19 infection experience prolonged physical and mental symptoms after resolution of their initial infection, and among them, many individuals experience cognitive difficulties including memory lapses and executive function difficulties, often referred to as "brain fog." The possible impact of COVID-19 infection on cognition in persons with HIV-related cognitive disorders is unknown. In this report, we describe post-COVID-19 cognitive and driving function in a 62-year-old man with HIV infection since the early 1990s.

A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial

Objective

The purpose of this study was to evaluate the effects of a mobile app designed to improve chronic disease self-management in older adult patients with low health literacy and who had at least one chronic health condition, and to assess the impact of delivering information at different levels of reading difficulty.

Methods

A randomized controlled trial was completed at two sites. Individuals 40 years of age and older screened for low health literacy who had at least one chronic health condition were randomly assigned to a tailored information multimedia app with text at one of three grade levels. Four primary outcomes were assessed: patient activation, chronic disease self-efficacy, health-related quality of life, and medication adherence.

Results

All groups showed overall increases in activation, self-efficacy, and health-related quality of life, but no change in medication adherence. No between-group differences were observed.

Conclusions

The mobile app was effective in increasing participants' levels of several psychosocial variables, but reading difficulty level was not significantly related to outcomes.Registered at clinicaltrials.gov NCT02922439.

Computational modeling of the effect of five mutations on the structure of the ACE2 receptor and their correlation with infectivity and virulence of some emerged variants of SARS-CoV-2 suggests mechanisms of binding affinity dysregulation

Interactions between the human angiotensin-converting enzyme 2 (ACE2) and the RBD region of the SARS-CoV-2 Spike protein are critical for virus entry into the host cell. The objective of this work was to identify some of the most relevant SARS-CoV-2 Spike variants that emerged during the pandemic and evaluate their binding affinity with human variants of ACE2 since some ACE2 variants can enhance or reduce the affinity of the interaction between the ACE2 and S proteins. However, no information has been sought to extrapolate to different variants of SARS-CoV-2. Therefore, to understand the impact on the affinity of the interaction between ACE2 protein variants and SARS-CoV-2 protein S variants, molecular docking was used in this study to predict the effects of five mutations of ACE2 when they interact with Alpha, Beta, Delta, Omicron variants and a hypothetical variant, which present mutations in the RBD region of the SARS-CoV-2 Spike protein. Our results suggest that these variants could alter the interaction of the Spike and the human ACE2 protein, losing or creating new inter-protein contacts, enhancing viral fitness by improving binding affinity, and leading to an increase in infectivity, virulence, and transmission. This investigation highlighted that the S19P mutation of ACE2 decreases the binding affinity between the ACE2 and Spike proteins in the presence of the Beta variant and the wild-type variant of SARS-CoV-2 isolated in Wuhan-2019. The R115Q mutation of ACE2 lowers the binding affinity of these two proteins in the presence of the Beta and Delta variants. Similarly, the K26R mutation lowers the affinity of the interaction between the ACE2 and Spike proteins in the presence of the Alpha variant. This decrease in binding affinity is probably due to the lack of interaction between some of the key residues of the interaction complex between the ACE2 protein and the RBD region of the SARS-CoV-2 Spike protein. Therefore, ACE2 mutations appear in the presence of these variants, they could suggest an intrinsic resistance to COVID-19 disease. On the other hand, our results suggested that the K26R, M332L, and K341R mutations of ACE2 expressively showed the affinity between the ACE2 and Spike proteins in the Alpha, Beta, and Delta variants. Consequently, these ACE2 mutations in the presence of the Alpha, Beta, and delta variants of SARS-CoV-2 could be more infectious and virulent in human cells compared to the SARS-CoV-2 isolated in Wuhan-2019 and it could have a negative prognosis of the disease. Finally, the Omicron variant in interaction with ACE2 WT, S19P, R115Q, M332L, and K341R mutations of ACE2 showed a significant decrease in binding affinity. This could be consistent that the Omicron variant causes less severe symptoms than previous variants. On the other hand, our results suggested Omicron in the complex with K26R, the binding affinity is increased between ACE2/RBD, which could indicate a negative prognosis of the disease in people with these allelic conditions.

Women and authorship in an international journal dedicated to cardiovascular diseases: analysis of the last decade

Introduction and purpose

Scientific production has become very important in the progression of the healthcare profession, and the studies made in this field reflect a gender gap in the authorship of such production. In the last decade, a review of the publications made over 35 years in 6 high impact factor journals has evidenced a lesser proportion of women among the first and last signing authors (1,2). Nevertheless, the presence of women as preferential authors is desproportionately low considering the number of female cardiologists in Spain in the year 2017 (40%) (3). The Revista Española de Cardiología (REC) is an international journal dedicated to cardiovascular diseases. Our study investigates the authorship gender differences from publications in the REC.

Methods

A cross-sectional study was made of the REC issues published between January 2011 and December 2020. For each article we recorded the doi identifier, the year of publication, the type of article, the number of authors, the number of female authors, and the number of women with preferential authorship. Preferential authorship was defined as first signing author, corresponding author or last author. A gender-based analysis of the number of authors, the type and year of publication and preferential authorship was carried out. Female participation was calculated from the female/male ratio, with an analysis of the trend observed over the years.

Results

Of 2859 articles documented, 4275 signing authors were women and 12,061 were men.

699, 548 and 481 women were the first, corresponding and the last author, respectively. Table 1 shows the percentage of articles in which a woman was a preferential author, as well as the percentage of women that would have to be present in the general population to cancel statistical significance. The number of articles in which a woman was the first or the corresponding author was seen to increase (p=0.008 and p=0.002, respectively), while no significant changes were observed in relation to last authorship (p=0.09). The percentage of articles in which at least one woman held at least one of the three preferential authorship positions tended to increase over time (p=0.056). In the year 2011, a total of 90 articles out of 252 (35.7%) had at least one woman among the three preferential authors, while in the year 2020 the figure was 123 out of 296 (41.6%) (Figure 1).

Conclusions

Although the participation of female authors in the scientific production of the REC has increased during the last decade, authorship gender inequalities persist.

Funding Acknowledgement

Type of funding sources: None.

Combined Heart-Kidney Transplantation: Indications, Outcomes, and Controversies

Renal dysfunction, a prevalent comorbidity in advanced heart failure, is associated with significant morbidity and mortality after heart transplantation. In the recent era, the field of combined heart-kidney transplantation has experienced great success in the treatment of both renal and cardiac dysfunction in end-stage disease states, and the number of transplants has increased dramatically. In this review, we discuss appropriate indications and selection criteria, overall and organ-specific outcomes, and future perspectives in the field of combined heart-kidney transplantation.

Design and Protocol of the Renal Anhydramnios Fetal Therapy (RAFT) Trial

PURPOSE

Anhydramnios secondary to anuria before 22 weeks of gestational age and congenital bilateral renal agenesis before 26 weeks of gestational age are collectively referred to as early-pregnancy renal anhydramnios. Early-pregnancy renal anhydramnios occurs in at least 1 in 2000 pregnancies and is considered universally fatal when left untreated because of severe pulmonary hypoplasia precluding ex utero survival The Renal Anhydramnios Fetal Therapy (RAFT) trial is a nonrandomized, nonblinded, multicenter clinical trial designed to assess the efficacy, safety, and feasibility of amnioinfusions for patients with pregnancies complicated by early-pregnancy renal anhydramnios. The primary objective of this study is to determine the proportion of neonates surviving to successful dialysis, defined as use of a dialysis catheter for ≥14 days.

METHODS

A consortium of 9 North American Fetal Therapy Network (NAFTNet) centers was formed, and the RAFT protocol was refined in collaboration with the NAFTNet Scientific Committee. Enrollment in the trial began in April 2020. Participants may elect to receive amnioinfusions or to join the nonintervention observational expectant management group. Eligible pregnant women must be at least 18 years of age with a fetal diagnosis of isolated early-pregnancy renal anhydramnios.

FINDINGS

In addition to the primary study objective stated above, secondary objectives include (1) to assess maternal safety and feasibility of the serial amnioinfusion intervention (2) to perform an exploratory study of the natural history of untreated early pregnancy renal anhydramnios (3) to examine correlations between prenatal imaging and lung specific factors in amniotic fluid as predictive of the efficacy of serial percutaneous amnioinfusions and (4) to determine short- and long-term outcomes and quality of life in surviving neonates and families enrolled in RAFT IMPLICATIONS: The RAFT trial is the first clinical trial to investigate the efficacy, safety, and feasibility of amnioinfusions to treat the survival-limiting pulmonary hypoplasia associated with anhydramnios. Although the intervention offers an opportunity to treat a condition known to be almost universally fatal in affected neonates, the potential burdens associated with end-stage kidney disease from birth must be acknowledged.

CLINICALTRIALS

gov identifier: NCT03101891.

Feedlot pens with greenhouse roofs improve beef cattle performance in temperate weather

Muddy pens can negatively affect welfare and performance of feedlot beef cattle. In some regions with temperate weather, plastic greenhouse covers, above the entire pens are used to fatten cattle in a clean and dry environment. The objective of this research was to investigate effects of greenhouse roofed pens on beef cattle feedlot performance in temperate weather. Data were collected from a feedlot located in Central Mexico between 2016 and 2019. The study included 1,062 closeouts of pens with 68,305 crossbred bulls fed in pens with or without a greenhouse roof. Feeding ranged from 82 to 210 d, depending on the initial weight of cattle, which ranged from 255 to 511 kg. For each pen, average daily dry matter intake (DMI, kg of dry matter intake•animal -1•d -1), average daily gain (ADG, kg•animal -1•d -1), and feed efficiency (G:F, ADG/DMI) were measured. Factorial analyses were performed to test the interaction and main effects of initial weight grouping (light, medium, and heavy), roof, and season as fixed effects, and year as a random effect. None of the 3-way interactions were significant (P > 0.51). There were no initial weight grouping × roof interactions for DMI and ADG (P > 0.31). There was (P = 0.03) an initial weight grouping × roof interaction for G:F, as pens of all initial weight groups had greater (P < 0.01) G:F in pens with greenhouse roof than its counterpart in pens without greenhouse roof, but the advantage was greater for pens with light cattle (0.178 vs. 0.166; P < 0.01). There were no initial weight grouping × season interactions for all variables (P > 0.39). There was no roof × season interaction for DMI (P = 0.47), but there were interactions for ADG and G:F (P < 0.01). The ADG was not different (P > 0.13) during summer and autumn based on the roofing system, but pens with greenhouse roofs had greater ADG during spring (1.70 vs. 1.61) and winter (1.68 vs. 1.64; P ≤ 0.01). The G:F was greater (P < 0.01) in all seasons for pens with a greenhouse roof, with the most prominent advantage during spring (0.173 vs. 0.160). There were main effects for cattle initial weight grouping and roof for all variables (P < 0.01). Season affected DMI and G:F (P < 0.01). Pens with greenhouse roofs had decreased DMI (9.70 vs. 9.86), greater ADG (1.67 vs. 1.63), and increased G:F (0.173 vs. 0.166) compared to pens without greenhouse roofs (P < 0.01). Pens with greenhouse roofs in feedlots located in temperate regions positively affect beef cattle performance.

Association between common cardiovascular risk factors and clinical phenotype in patients with hypertrophic cardiomyopathy from the European Society of Cardiology (ESC) EurObservational Research Programme (EORP) Cardiomyopathy/Myocarditis registry

AIMS

The interaction between common cardiovascular risk factors (CVRF) and hypertrophic cardiomyopathy (HCM) is poorly studied. We sought to explore the relation between CVRF and the clinical characteristics of patients with HCM enrolled in the EURObservational Research Programme (EORP) Cardiomyopathy registry.

METHODS AND RESULTS

1739 patients with HCM were studied. The relation between hypertension (HT), diabetes (DM), body mass index (BMI), and clinical traits was analysed. Analyses were stratified according to the presence or absence of a pathogenic variant in a sarcomere gene. The prevalence of HT, DM, and obesity (Ob) was 37, 10, and 21%, respectively. HT, DM, and Ob were associated with older age (P<0.001), less family history of HCM (HT and DM P<0.001), higher New York Heart Association (NYHA) class (P<0.001), atrial fibrillation (HT and DM P<0.001; Ob p = 0.03) and LV (left ventricular) diastolic dysfunction (HT and Ob P<0.001; DM P = 0.003). Stroke was more frequent in HT (P<0.001) and mutation-positive patients with DM (P = 0.02). HT and Ob were associated with higher provocable LV outflow tract gradients (HT P<0.001, Ob P = 0.036). LV hypertrophy was more severe in Ob (P = 0.018). HT and Ob were independently associated with NYHA class (OR 1.419, P = 0.017 and OR 1.584, P = 0.004, respectively). Other associations, including a higher proportion of females in HT and of systolic dysfunction in HT and Ob, were observed only in mutation-positive patients.

CONCLUSION

Common CVRF are associated with a more severe HCM phenotype, suggesting a proactive management of CVRF should be promoted. An interaction between genotype and CVRF was observed for some traits.

A-18 Early Pattern of Cognitive Changes Associated with Insulin Resistance in a Sample of Young Adults

Objective

Insulin resistance increases the risk of developing type 2 diabetes and subsequently cardiovascular and cerebrovascular disease. It is also linked to neurocognitive disorders and accelerated cognitive aging (Ekblad et al, 2017; Levine, Harrati, & Crimmins, 2018). Using baseline data from a longitudinal study in a sample of 126 cognitively intact adults aged 25–50 years (36.5% males), we assessed cognitive performance in relation to insulin resistance to determine whether an early prodromal pattern of cognitive changes exists prior to advanced metabolic disease.

Methods

Steady state plasma glucose (SSPG) was used to measure insulin resistance. Multivariate regression analyses were conducted using age, years of education, body mass index (BMI), and SSPG as predictors of neuropsychological functioning. In-person and tele-neuropsychological assessment was administered using standard neuropsychological measures.

Results

Higher insulin resistance was associated with significantly worse attention (WAIS-III Digit Span total; B = -0.018, p = 0.03), executive functioning (D-KEFS Color-Word Inhibition/Switching; B = 0.047, p = 0.04) and dominant fine motor abilities (Purdue Pegboard; B = -0.008, p = 0.02). Higher insulin resistance was also associated with trend level worsening of other measures of executive functioning, namely D-KEFS Trails 4 (B = 0.099, p = 0.07) and DKEFS Color-Word Inhibition errors (B = 0.007, p = 0.09).

Conclusions

In young adults, higher insulin resistance was associated with declines in attention, executive functioning, and fine motor abilities. This early pattern of subtle cognitive changes associated with higher insulin resistance seen in this sample of younger adults is consistent with later cognitive declines found in type 2 diabetes and vascular neurocognitive disorder, namely declines in attention, executive functioning, and motor abilities with eventual memory declines in advanced disease.