KmerAperture: Retaining k-mer synteny for alignment-free extraction of core and accessory differences between bacterial genomes.

By decomposing genome sequences into k-mers, it is possible to estimate genome differences without alignment. Techniques such as k-mer minimisers, for example MinHash, have been developed and are often accurate approximations of distances based on full k-mer sets. These and other alignment-free methods avoid the large temporal and computational expense of alignment. However, these k-mer set comparisons are not entirely accurate within-species and can be completely inaccurate within-lineage. This is due, in part, to their inability to distinguish core polymorphism from accessory differences. Here we present a new approach, KmerAperture, which uses information on the k-mer relative genomic positions to determine the type of polymorphism causing differences in k-mer presence and absence between pairs of genomes. Single SNPs are expected to result in k unique contiguous k-mers per genome. On the other hand, contiguous series > k may be caused by accessory differences of length S-k+1; when the start and end of the sequence are contiguous with homologous sequence. Alternatively, they may be caused by multiple SNPs within k bp from each other and KmerAperture can determine whether that is the case. To demonstrate use cases KmerAperture was benchmarked using datasets including a very low diversity simulated population with accessory content independent from the number of SNPs, a simulated population where SNPs are spatially dense, a moderately diverse real cluster of genomes (Escherichia coli ST1193) with a large accessory genome and a low diversity real genome cluster (Salmonella Typhimurium ST34). We show that KmerAperture can accurately distinguish both core and accessory sequence diversity without alignment, outperforming other k-mer based tools.

Increased sensorimotor activity during categorisation of emotionally ambiguous faces.

Actions are rarely devoid of emotional content. Thus, a more complete picture of the neural mechanisms underlying the mental simulation of observed actions requires more research using emotion information. The present study used high-density electroencephalography to investigate mental simulation associated with facial emotion categorisation. Alpha-mu rhythm modulation was measured at each frequency, from 8 Hz to 13 Hz, to infer the degree of sensorimotor simulation. Results suggest the sensitivity of the sensorimotor activity to emotional information, because (1) categorising static images of neutral faces as happy or sad was associated with stronger suppression in the central region than categorising clearly happy faces, (2) there was preliminary evidence indicating that the strongest suppression in the central region was in response to neutral faces, followed by sad and then happy faces and (3) in the control task, which required categorising images with the head oriented right, left, or forward as right or left, differences between conditions showed a pattern more indicative of task difficulty rather than sensorimotor engagement. Dissociable processing of emotional information in facial expressions and directionality information in head orientations was further captured in beta band activity (14-20 Hz). Stronger mu suppression to neutral faces indicates that sensorimotor simulation extends beyond crude motor mimicry. We propose that mu rhythm responses to facial expressions may serve as a biomarker for empathy circuit activation. Future research should investigate whether atypical or inconsistent mu rhythm responses to facial expressions indicate difficulties in understanding or sharing emotions.

Fully Integrated Microfluidic Digital Chip for Simple and Highly Quantitative Detection of Norovirus.

The prevalence of foodborne illnesses is a significant global concern, resulting in numerous illnesses, deaths, and substantial economic losses annually. Traditional detection methods for foodborne pathogens are often slow, limited, and impractical for field use, underscoring the need for rapid, sensitive, and portable assays. Microfluidic technology has emerged as a promising solution for sample preparation, reaction, and detection on a small scale. Our study introduces a novel microfluidic digital loop-mediated isothermal amplification (LAMP) assay platform, which employs digital microfluidic chips for absolute quantitative analysis of nucleic acids. This portable chip utilizes LAMP technology to achieve ultrasensitive detection of target nucleic acids within 30 min and reduces the detection limit to 1 fM without the need for complex instrumentation. By digitizing amplification signals directly from the target sample, our platform offers simplicity, affordability, portability, and quantitative molecular readouts. This innovation represents a crucial step toward the on-site detection of foodborne pathogens, thereby enhancing food safety and mitigating disease outbreaks.

Southern blight of water lily: The first host record of Agroathelia rolfsii on Nelumbo nucifera discovered in Florida, USA.

Nelumbo nucifera Gaertn. (Nelumbonaceae, Eudicots), also known as water lily or sacred lotus, is a nonnative and invasive plant commonly found in artificial ponds and natural lakes throughout Florida (UF-IFAS 2023; Wunderlin et al. 2023). In August 2020, a single sample of water lily plants showing large leaf spots were collected at a residence in Dunnellon, Marion County, Florida (80% disease prevalence with 40% leaf coverage). Symptoms and signs of the disease were necrotized adaxial leaf spots only, bordered by whitish mycelia and hyphae with clamp connections, and whitish to light brown sclerotia formed in the center (<0.7 mm diameter). Symptomatic tissue was plated on acid potato dextrose agar (APDA) amended with chloramphenicol (100 mg/L) and ampicillin (30mg/L), and incubated at 20 °C for one week. Data supporting the molecular identification of this putative pathogen were gathered by PCR amplification and Sanger sequencing of the complete internal transcribed spacer (ITS) and a fragment of the large subunit (LSU) of the rRNA gene (~1.5 kb) using primers ITS1F and LR5 (FDACS-DPI PPST 2020-105211, GenBank OR492009) (White et al. 1990). The identification of the host was confirmed by Sanger sequencing of three plant barcode fragments: ITS2 (ITS2-S2F/ITS4, OR492008), ribulose 1,5-bisphosphate carboxylase/oxygenase large subunit (rbcL) (rbcLa-F/rbcLa-R, GenBank OR502388), and Maturase K (matK) (matK-KIM1R/matK-KIM3F, GenBank OR502389) (Fazekas et al. 2012). MegaBLAST queries of the ITS/LSU sequence obtained here recovered a 99.61% match to the fungal pathogen Agroathelia (=Athelia) rolfsii (Sacc.) Redhead & Mullineux. (Redhead and Mullineux 2023) (Amylocorticiaceae, Agaricomycotina) strain GP3 (GenBank JABRWF010000005) (Yan et al. 2021). MegaBLAST queries of three host plant DNA barcodes recovered matches of greater than 99.62% similarity to N. nucifera sequences. After diagnosis, symptomatic dried leaf samples were deposited at Plant Industry Herbarium Gainesville (PIHG 17807) and an axenic culture was deposited at the Agricultural Research Services Culture Collection (NRRL 66964). Koch's postulates were fulfilled by the inoculation of sclerotia (as in Terrones-Salgado et al. 2022) on adaxial leaf surface of four-week- old water lily transplants obtained from an artificial pond on campus (two plants with five leaves each). One additional transplant was not inoculated and served as a control; this plant remained asymptomatic during the experimentation period. Each transplant was kept in a 27-gallon plastic container (21W × 30L × 14H in) filled with tap water containing one tablespoon of 20-20-20 all-purpose-water-soluble plant fertilizer (VPG, TX, USA) in a plant biosafety level 2 greenhouse (23 °C, >50% relative humidity, and a 12-h/12-h photoperiod). All inoculated leaves showed necrotized areas after one week and new sclerotia were observed floating on the water surface after three weeks. Fungal pathogen was reisolated and reidentified subsequently. Agroathelia rolfsii is the causal agent of southern blight, also known as grey rot, and is reported from at least in 260 plant genera, including specialty crops such as citrus, cucumber, pepper, peanuts, pumpkin, and strawberry (Farr and Rossman 2018). Agroathelia rolfsii usually causes lower stem, crown, and root rots; consequently, leaf spots are a noteworthy presentation of symptoms for this fungus.

Association of epicardial adipose tissue volume with heart weight in post-mortem cases.

Epicardial adipose tissue (EAT) deposition has been long associated with heart weight. However, recent research has failed to replicate this association. We aimed to determine the association of EAT volume with heart weight in post-mortem cases and identify potential confounding variables. EAT volume derived from post-mortem computed tomography (PMCT) and heart weight were measured in post-mortem cases (N = 87, age: 56 ± 16 years, 28% female). Cases with hypertrophied heart weights (N = 44) were determined from reference tables. Univariable associations were tested using Spearman correlation and simple linear regression. Independence was determined with stepwise regression. In the total cohort, EAT volume (median 66 ± 45 cm3) was positively associated with heart weight (median 435 ± 132 g) at the univariable level (r = 0.6, P < 0.0001) and after adjustment for age, female sex, and various body size metrics (R2 adjusted = 0.41-0.57). Median EAT volume was 1.9-fold greater in cases with hypertrophic hearts (P < 0.0001) but with considerably greater variability, especially in cases with extreme EAT volume or heart weight. As such, EAT volume was not associated with heart weight in hypertrophic cases, while a robust independent association was found in non-hypertrophic cases (R2 adjusted = 0.62-0.86). EAT mass estimated from EAT volume found that EAT comprised approximately 13% of overall heart mass in the total cases. This was significantly greater in cases with hypertrophy (median 15.5%; range, 3.6-36.6%) relative to non-hypertrophied cases (12.5%, 3.3-24.3%) (P = 0.04). EAT volume is independently and positively associated with heart weight in post-mortem cases. Excessive heart weight significantly confounded this association.

Susceptibility of centipede tongavine (Epipremnum pinnatum) commercially grown in nurseries in Florida to aroid leaf rust (Pseudocerradoa paullula).

Epipremnum pinnatum (L.) Engl., (Araceae, Monocots) known as dragon-tail plant or centipede tongavine, is the most cultivated aroid species worldwide (Boyce 2004). In 2022, symptomatic dragon-tail plants, collected from plant nurseries in south Florida (e-Xtra Fig.1). Symptoms included round leaf spots often with a yellow halo and erupting pustules mainly distributed in the underside of the leaves. Visits to the nurseries revealed a 60% incidence of approximability 50 mature plants, with some leaves showing up to 30% of tissue damage. The putative pathogen was identified morphologically as Pseudocerradoa paullula (Syd. & P. Syd.) M. Ebinghaus & Dianese (Pucciniaceae, Basidiomycota) (Ebinghaus et al. 2022), characterized by the production of pseudosuprastomatal uredinia with globose to subglobose urediniospores, light-brown, echinulate (1 µm height), 24-31 µm diam with thick walls, 1.5-2.5 µm in height (n=30). Identical morphological features reported by Urbina et al. (2023) (e-Xtra Fig. 1). PCR amplification followed by Sanger sequencing of the internal transcribed spacer (ITS) and large subunit (LSU) of the ribosomal RNA genes (Aime 2006) together with LSU internal species specific primer (Urbina et al. 2023) were used to confirm the identification of the pathogen (GenBank ON887194-ON887196). MegaBlast (Chen et al. 2015) searches resulted in a >99% sequence similarity to a P. paullula specimen collected in Florida (2019-101665, GenBank ON887197). Host identification was made by using the Ribulose-1,5-bisphosphate carboxylase-oxygenase (rbcL. GenBank ON887186, ON887187) and Maturase K (matK) loci (GenBank ON887190, ON887191) (Fazekas et al. 2012). Both barcodes resulted in >99.13% sequence similarity to voucher J.R. Abbott 24912 FLAS (GenBank GU135198 and GU135036, respectively). Symptomatic dried specimens were deposited in the Plant Industry Herbarium (PIHG 16229 - 16232). Koch's postulates were fulfilled using urediniospores collected from an infected E. pinnatum sample that was kept in darkness at 4°C for seven days until inoculation. Eight potted dragon-tail plants were inoculated by hand rubbing urediniospores against upper and lower leaf surfaces and three plants were used as controls. All plants were misted with sterile water and covered with plastic bags (23 °C, >90% RH, 12/12 h daylight). Bags were removed 48 h after inoculation, plants were set in a climate-controlled greenhouse (~30 °C, ~65% RH, 12/12 h light cycle) and monitored daily for symptoms. Chlorotic spots appeared after 10 days, and pustules after 25 days while the non-inoculated controls remained symptomless. Aroid leaf rust is known to infect several aroid species, including dragon-tail (Shaw 1995), which some varieties capable to outdoors in USDA 9a hardiness zones (Wunderlin et al. 2023), but the rust fungus has not been observed on any species of Epipremnum in the landscape yet, suggesting that its susceptibility could be driven by plant growth conditions that favor pathogen infection (e.g., excess of humidity and nutrients, dense planting, overhead irrigation, etc.). Here we encourage dragon-tail plant growers to be aware of its susceptibility to P. paullula and to stay vigilant of the culture conditions to avoid plants from getting infected with this airborne pathogen.

Detection of aroid leaf rust Pseudocerradoa paullula on Swiss cheese plant Monstera deliciosa in the continental USA.

Monstera deliciosa Liebm. (Araceae, Monocots), sometimes referred to as Swiss cheese plant, is one of the most common aroids used as an indoor and landscape ornamental plant (Cedeño et al. 2020). Production of M. deliciosa and other closely related Araceae species represents an important sector of the ornamental nursery business worldwide. Swiss cheese plant is believed to have originated in the tropical forests of southern Mexico, where its fruit is considered a delicacy due to its sweet, exotic flavor (Cedeño et al. 2020). Since 2019, symptomatic Monstera plants from two plant nurseries and residential properties in South Florida were submitted for disease diagnosis to the Florida Department of Agriculture and Consumer Services, Division of Plant Industry (FDACS-DPI) in Gainesville, Florida, and to the University of Florida, Tropical Research and Education Center Plant Clinic in Homestead, Florida. Symptoms included small chlorotic spots on the leaf surface, which expanded and became brown to reddish-brown often with a yellow halo and produced uredinia with abundant urediniospores. The pathogen was identified morphologically as the rust fungus Pseudocerradoa (=Puccinia) paullula (Syd. & P. Syd.) M. Ebinghaus & Dianese (Pucciniaceae, Basidiomycota) (Ebinghaus et al. 2022), characterized by the production of pseudosuprastomatal uredinia. Uredinospores light-brown and globose, echinulate (1 µm height), reddish to light brown, 24 - 31 µm diameter, with thick walls, 1.5 - 2.5 µm height (n=15). Teliospores 2-celled, light-yellow and ellipsoidal, 23 - 28 × 19 - 24 µm (n =15) were observed in sori appearing as dark-brown leaf spots on the adaxial side of the leaves (e-Xtra Fig. 1). Molecular characterization of the fungal pathogen was based on the small subunit (SSU), internal transcribed spacer (ITS), and large subunit (LSU) of the ribosomal RNA genes (Aime 2006) with the addition of a LSU internal primer specific for the rust species Ppaullula_int-forward 5'ATAGTTATTGGCTTTGATTTACA-3' designed in this study to increase the quality and the sequence read length due to a 3'- ~21-Ts-homopolymer (e-Xtra Fig. 2) (GenBank accession number ON887196, ON887197, OQ275200, OQ275201). In addition to morphological identification, the host plant was identified using the Ribulose-1,5-bisphosphate carboxylase-oxygenase (rbcL) and Maturase K (matK) genes (Fazekas et al. 2012) (GenBank accession numbers ON887189, ON887193, respectively). MegaBlast searches confirmed the morphological identification with 100% identity to M. deliciosa vouchers GQ436772 and MK206496, respectively (Chen et al. 2015). Dried specimens were deposited in the Plant Industry Herbarium Gainesville (PIHG 16226, 16227, 17154, 17155). Molecular identification of the rust pathogen P. paullula was carried out through megaBlast (Chen et al. 2015) searches together with a phylogenetic analysis performed in RAxML v8 (Stamatakis 2014) (e-Xtra Fig. 3). Koch's postulates were performed by using urediniospores, collected from an infected sample and were kept for 7 days at 4 C, as an inoculum source. Healthy rooted M. deliciosa plants were inoculated by rubbing the inoculum on both leaf surfaces at >90% RH, room temperature, 12/12 light cycle. After the incubation period (48 h), plants were placed in a climate-controlled greenhouse and watered twice a week, ~30 C, ~65 RH, 12/12 light cycle. After three weeks, all inoculated plants developed symptoms resembling those observed on the samples submitted for disease diagnosis. Controls did not show symptoms. Spores from the pustules of inoculated plants were identified as P. paullula by both morphology and molecular means. The genus Pseudocerradoa comprises P. paullula and its sister species P. rhaphidophorae (Syd.) M. Ebinghaus & Dianese. Both species can be distinguished by size and coloration of urediniospores and their host range within the Araceae. Pseudocerradoa rhaphidophorae produces smaller urediniospores and only occurs on Rhaphidophora species (Shaw 1995). Pseudocerradoa paullula is not considered fully established in Florida, since the host distribution is mainly restricted to indoors and M. deliciosa is rarely used as an outdoor ornamental (Wunderlin et al. 2023). Here we name the disease caused by P. paullula as "aroid leaf rust", due to its ability to infect several species in this plant family. Other closely related hosts reported as susceptible to this pathogen are Monstera standleyana G.S.Bunting (as M.s. cv. variegata), Monstera adansonii var. laniata (Schott) Mayo & I.M. Andrade, Monstera subpinnata (Schott) Engl., Typhonodorum lindleyanum Schott, and Stenospermation sp. (Shaw 1991, 1992, 1995). To date, the aroid leaf rust was only known from Australia, China, Japan, Malaysia, and Philippines (Lee et al. 2012; Shaw 1991). Based on our review, P. paullulla was intercepted once from Malaysia in 2014 at the port of Los Angeles, USA (BPI voucher 893085). This present study reports the establishment of P. paullula in Florida, USA infecting M. deliciosa.

Toxic Tire Wear Compounds (6PPD-Q and 4-ADPA) Detected in Airborne Particulate Matter Along a Highway in Mississippi, USA.

Tire wear particles (TWPs) are a major category of microplastic pollution produced by friction between tires and road surfaces. This non-exhaust particulate matter (PM) containing leachable toxic compounds is transported through the air and with stormwater runoff, leading to environmental pollution and human health concerns. In the present study, we collected airborne PM at varying distances (5, 15 and 30 m) along US Highway 278 in Oxford, Mississippi, USA, for ten consecutive days using Sigma-2 passive samplers. Particles (~ 1-80 µm) were passively collected directly into small (60 mL) wide-mouth separatory funnels placed inside the samplers. Particles were subsequently subjected to solvent extraction, and extracts were analyzed for TWP compounds by high resolution orbitrap mass spectrometry. This pilot study was focused solely on qualitative analyses to determine whether TWP compounds were present in this fraction of airborne PM. The abundance of airborne TWPs increased with proximity to the road with deposition rates (TWPs cm-2 day-1) of 23, 47, and 63 at 30 m, 15 m, and 5 m from the highway, respectively. Two common TWP compounds (6PPD-Q and 4-ADPA) were detected in all samples, except the field blank, at levels above their limits of detection, estimated at 2.90 and 1.14 ng L-1, respectively. Overall, this work suggests airborne TWPs may be a potential inhalation hazard, particularly for individuals and wildlife who spend extended periods outdoors along busy roadways. Research on the bioavailability of TWP compounds from inhaled TWPs is needed to address exposure risk.

An Engineered OmpG Nanopore with Displayed Peptide Motifs for Single-Molecule Multiplex Protein Detection.

Molecular detection via nanopore, achieved by monitoring changes in ionic current arising from analyte interaction with the sensor pore, is a promising technology for multiplex sensing development. Outer Membrane Protein G (OmpG), a monomeric porin possessing seven functionalizable loops, has been reported as an effective sensing platform for selective protein detection. Using flow cytometry to screen unfavorable constructs, we identified two OmpG nanopores with unique peptide motifs displayed in either loop 3 or 6, which also exhibited distinct analyte signals in single-channel current recordings. We exploited these motif-displaying loops concurrently to facilitate single-molecule multiplex protein detection in a mixture. We additionally report a strategy to increase sensor sensitivity via avidity motif display. These sensing schemes may be expanded to more sophisticated designs utilizing additional loops to increase multiplicity and sensitivity.

Presence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibodies Among Vietnamese Healthcare Workers by Dosing Interval for ChAdOx1 nCoV-19 Vaccine.

BACKGROUND: Before the SARS-CoV-2 Delta variant arrived in Vietnam, case rates suggested seroprevalence of SARS-CoV-2 was low. Beginning in March 2021, we assessed different dosing schedules and adverse events following immunization (AEFIs) for ChAdOx1 nCoV-19 vaccine among healthcare workers (HCWs). METHODS: We performed a prospective cohort study to estimate the prevalence of IgG antibodies to SARS-CoV-2 before and after ChAdOx1 nCoV-19 vaccination. We conducted antibody testing among HCWs in February 2021 (baseline), before the second dose (June-July 2021), and 1 and 3 months after the second dose. We detected antibodies to SARS-CoV-2 using Tetracore® FlexImmArray™, and surrogate neutralizing antibodies using GenScript cPass™. Neither assay can distinguish natural from vaccine-induced antibodies. We assessed AEFIs through interview post-dose 1 and 1 month post-dose 2. RESULTS: Before vaccination, 1/617 participants (0.16%) had antibodies to SARS-CoV-2. Of these 617, 405 were vaccinated with ChAdOx1 nCoV-19 with 4-8- (60%), 9-12- (27%), or ≥13-week (13%) intervals between the 2 doses. Three months following series completion, 99% and 97% of vaccinated participants had ≥1 sample with detectable antibodies and surrogate neutralizing antibodies against SARS-CoV-2, respectively. We observed no significant differences among those with different dosing intervals at last follow-up. All participants reported PCR testing for SARS-CoV-2 during the study; 2 (0.5%) were laboratory-confirmed. AEFIs were more frequent post-dose 1 (81%) vs post-dose 2 (21%). CONCLUSIONS: In this population, regardless of dosing interval, ChAdOx1 nCoV-19 induced antibodies within 3 months of the second dose. These findings may offer flexibility to policymakers when balancing programmatic considerations with vaccine effectiveness.

Sociotechnical Intervention for Improved Delivery of Preventive Cardiovascular Care to Rural Communities: Participatory Design Approach.

BACKGROUND: Clinical practice guidelines recommend antiplatelet and statin therapies as well as blood pressure control and tobacco cessation for secondary prevention in patients with established atherosclerotic cardiovascular diseases (ASCVDs). However, these strategies for risk modification are underused, especially in rural communities. Moreover, resources to support the delivery of preventive care to rural patients are fewer than those for their urban counterparts. Transformative interventions for the delivery of tailored preventive cardiovascular care to rural patients are needed. OBJECTIVE: A multidisciplinary team developed a rural-specific, team-based model of care intervention assisted by clinical decision support (CDS) technology using participatory design in a sociotechnical conceptual framework. The model of care intervention included redesigned workflows and a novel CDS technology for the coordination and delivery of guideline recommendations by primary care teams in a rural clinic. METHODS: The design of the model of care intervention comprised 3 phases: problem identification, experimentation, and testing. Input from team members (n=35) required 150 hours, including observations of clinical encounters, provider workshops, and interviews with patients and health care professionals. The intervention was prototyped, iteratively refined, and tested with user feedback. In a 3-month pilot trial, 369 patients with ASCVDs were randomized into the control or intervention arm. RESULTS: New workflows and a novel CDS tool were created to identify patients with ASCVDs who had gaps in preventive care and assign the right care team member for delivery of tailored recommendations. During the pilot, the intervention prototype was iteratively refined and tested. The pilot demonstrated feasibility for successful implementation of the sociotechnical intervention as the proportion of patients who had encounters with advanced practice providers (nurse practitioners and physician assistants), pharmacists, or tobacco cessation coaches for the delivery of guideline recommendations in the intervention arm was greater than that in the control arm. CONCLUSIONS: Participatory design and a sociotechnical conceptual framework enabled the development of a rural-specific, team-based model of care intervention assisted by CDS technology for the transformation of preventive health care delivery for ASCVDs.

Infant Mortality among Adolescent Mothers in the United States: A 5-Year Analysis of Racial and Ethnic Disparities.

OBJECTIVE: This study was aimed to examine differences in infant mortality outcomes across maternal age subgroups less than 20 years in the United States with a specific focus on racial and ethnic disparities. STUDY DESIGN: Using National Center for Health Statistics cohort-linked live birth-infant death files (2009-2013) in this cross-sectional study, we calculated descriptive statistics by age (<15, 15-17, and 18-19 years) and racial/ethnic subgroups (non-Hispanic white [NHW], non-Hispanic black [NHB], and Hispanic) for infant, neonatal, and postneonatal mortality. Adjusted odds ratios (aOR) were calculated by race/ethnicity and age. Preterm birth and other maternal characteristics were included as covariates. RESULTS: Disparities were greatest for mothers <15 and NHB mothers. The risk of infant mortality among mothers <15 years compared to 18 to 19 years was higher regardless of race/ethnicity (NHW: aOR = 1.40, 95% confidence interval [CI]: 1.06-1.85; NHB: aOR = 1.28, 95% CI: 1.04-1.56; Hispanic: aOR = 1.36, 95%CI: 1.07-1.74). Compared to NHW mothers, NHB mothers had a consistently higher risk of infant mortality (15-17 years: aOR = 1.12, 95% CI: 1.03-1.21; 18-19 years: aOR = 1.21, 95% CI: 1.15-1.27), while Hispanic mothers had a consistently lower risk (15-17 years: aOR = 0.72, 95% CI: 0.66-0.78; 18-19 years: aOR = 0.74, 95% CI: 0.70-0.78). Adjusting for preterm birth had a greater influence than maternal characteristics on observed group differences in mortality. For neonatal and postneonatal mortality, patterns of disparities based on age and race/ethnicity differed from those of overall infant mortality. CONCLUSION: Although infants born to younger mothers were at increased risk of mortality, variations by race/ethnicity and timing of death existed. When adjusted for preterm birth, differences in risk across age subgroups declined and, for some racial/ethnic groups, disappeared. KEY POINTS: · Infant mortality risk was highest for adolescents <15 years old across racial/ethnic groups.. · Racial/ethnic disparities in timing of death were present even among the youngest adolescents.. · Infants of NHB adolescents had greatest risk of mortality, especially as age increased.. · Preterm birth influenced infant mortality risk, especially among NHB adolescents..

Severe Maternal Morbidity among Low-Income Patients with Hypertensive Disorders of Pregnancy.

OBJECTIVE: Hypertensive disorders of pregnancy (HDP) contribute significantly to the development of severe maternal morbidities (SMM), particularly among low-income women. The purpose of the study was to explore the relationship between maternal characteristics and SMM, and to investigate if differences in SMM exist among patients with HDP diagnosis. STUDY DESIGN: This study utilized 2017 Alabama Medicaid administrative claims. SMM diagnoses were captured using the Centers for Disease Control and Prevention's classification by International Classification of Diseases codes. Maternal characteristics and frequencies were compared using Chi-square and Cramer's V statistics. Logistic regression analyses were conducted to examine multivariable relationships between maternal characteristics and SMM among patients with HDP diagnosis. Odds ratios and 95% confidence intervals (CIs) were used to estimate risk. RESULTS: A higher proportion of patients experiencing SMM were >34 years old, Black, Medicaid for Low-Income Families eligible, lived in a county with greater Medicaid enrollment, and entered prenatal care (PNC) in the first trimester compared with those without SMM. Almost half of patients (46.2%) with SMM had a HDP diagnosis. After controlling for maternal characteristics, HDP, maternal age, county Medicaid enrollment, and trimester PNC entry were not associated with SMM risk. However, Black patients with HDP were at increased risk for SMM compared with White patients with HDP when other factors were taken into account (adjusted odds ratio [aOR] = 1.37, 95% CI: 1.11-1.69). Patients with HDP and SMM were more likely to have a prenatal hospitalization (aOR = 1.45, 95% CI: 1.20-1.76), emergency visit (aOR = 1.30, 95% CI: 1.07-1.57), and postpartum cardiovascular prescription (aOR = 2.43, 95% CI: 1.95-3.04). CONCLUSION: Rates of SMM differed by age, race, Medicaid income eligibility, and county Medicaid enrollment but were highest among patients with clinical comorbidities, especially HDP. However, among patients with HDP, Black patients had an elevated risk of severe morbidity even after controlling for other characteristics. KEY POINTS: · Patients with SMM were more likely to have a HDP diagnosis.. · Among those with HDP, Black patients had elevated risk of SMM.. · Differences in care delivery did not explain SMM disparities..

Service user experiences of care recommendations from the 2014 NICE guideline for bipolar disorder: a survey.

Clinical guidelines for mental health disorders produced by the National Institute of Care Excellence (NICE) emphasise a recovery-based approach clinical care with collaborative decision-making. The aim of the study was to explore service user experience of collaborative decision-making and recovery focussed care in relation to a NICE clinical guideline for bipolar disorder four years after publication. Participants with a clinical diagnosis of bipolar disorder were recruited from adult mental health services in four specialist mental health NHS Trusts through health professional or self-referral following advertisement. An online or written survey was designed with service user input to cover 40 NICE recommendations on recovery based or collaborative care. Participants completed the survey anonymously and independent of any health professional involvement. Of 222 participants, 72 (33.5%) reported to a great extent care was delivered in line with a positive recovery message; 55 (25.5%) reported that not much or no care was recovery based. Only four items (10%) on medication or the offer of crisis services were endorsed as collaborative decision-making with a health professional by >70% service users. Most decision-making in relation to the NICE clinical guideline for bipolar disorder was not delivered collaboratively and only some care was recovery focussed.

Patient reported experiences and treatment outcomes of orthodontic patients treated within secondary care settings in the South West of England during the COVID-19 pandemic.

OBJECTIVE: To assess the impact of the temporary cessation of orthodontic services on patients undergoing treatment during the COVID-19 pandemic. DESIGN: Two-phase multicentre service evaluation. SETTING: Secondary care orthodontic departments in the South West of England. MATERIALS AND METHODS: Phase 1 - Patient-Reported Experience Measure questionnaire (PREM). The questionnaire was distributed to patients who had undergone orthodontic treatment during the COVID-19 pandemic once services had resumed. Phase 2 - assessment of treatment outcomes, specifically with the Peer Assessment Rating (PAR) Index. A total of 280 PAR scores were obtained from a cohort of patients treated before and during the pandemic. RESULTS: A total of 711 PREM questionnaires were completed. Participants generally felt relaxed when visiting secondary care settings, orthodontic departments and whilst wearing orthodontic appliances during the pandemic. Nearly 40% of participants were concerned that the pandemic would impact on their treatment, particularly treatment length. Treatment outcomes revealed that patients treated before and during the pandemic experienced percentage PAR score reductions of 83.9% and 80.6%, respectively. Patients receiving treatment during the pandemic experienced longer treatment durations of 126 days. CONCLUSION: During the pandemic, low levels of anxiety were reported with respect to receiving orthodontic treatment in secondary care settings. Irrespective of the pandemic, a high standard of orthodontic treatment was provided. However, patient concerns regarding treatment length were justified.

Estimating heart mass from heart volume as measured from post-mortem computed tomography.

Heart mass can be predicted from heart volume as measured from post-mortem computed tomography (PMCT), but with limited accuracy. Although related to heart mass, age, sex, and body dimensions have not been included in previous studies using heart volume to estimate heart mass. This study aimed to determine whether heart mass estimation can be improved when age, sex, and body dimensions are used as well as heart volume. Eighty-seven (24 female) adult post-mortem cases were investigated. Univariable predictors of heart mass were determined by Spearman correlation and simple linear regression. Stepwise linear regression was used to generate heart mass prediction equations. Heart mass estimate performance was tested using median mass comparison, linear regression, and Bland-Altman plots. Median heart mass (P = 0.0008) and heart volume (P = 0.008) were significantly greater in male relative to female cases. Alongside female sex and body surface area (BSA), heart mass was univariably associated with heart volume in all cases (R2 = 0.72) and in male (R2 = 0.70) and female cases (R2 = 0.64) when segregated. In multivariable regression, heart mass was independently associated with age and BSA (R2 adjusted = 0.46-0.54). Addition of heart volume improved multivariable heart mass prediction in the total cohort (R2 adjusted = 0.78), and in male (R2 adjusted = 0.74) and female (R2 adjusted = 0.74) cases. Heart mass estimated from multivariable models incorporating heart volume, age, sex, and BSA was more predictive of actual heart mass (R2 = 0.75-0.79) than models incorporating either age, sex, and BSA only (R2 = 0.48-0.57) or heart volume only (R2 = 0.64-0.73). Heart mass can be more accurately predicted from heart volume measured from PMCT when combined with the classical predictors, age, sex, and BSA.

Electrophysiological Correlates of Social Decision-making: An EEG Investigation of a Modified Ultimatum Game.

Cooperation behaviors during social decision-making have been shown to be sensitive to manipulations of context. However, it remains unclear how aspects of context in dynamic social interactions, such as observed nonverbal behaviors, may modulate cooperation decisions and the associated neural mechanisms. In this study, participants responded to offers from proposers to split $10 in an Ultimatum Game following observation of proposer approach (friendly) or avoidance (nonfriendly) behaviors, displayed by dynamic whole-body animated avatars, or following a nonsocial interaction control condition. As expected, behavioral results showed that participants tended to have greater acceptance rates for unfair offers following observed nonverbal social interactions with proposers compared with control, suggesting an enhancing effect of social interactions on cooperative decisions. ERP results showed greater N1 and N2 responses at the beginning of social interaction conditions compared with control, and greater sustained and late positivity responses for observed approach and avoidance proposer behaviors compared with control. Event-related spectral perturbation (ERSP) results showed differential sensitivity within theta, alpha, and beta bands during observation of social interactions and offers that was associated with subsequent decision behaviors. Together, these results point to the impact of proposers' nonverbal behaviors on subsequent cooperation decisions at both behavioral and neural levels. The ERP and ERSP findings suggest modulated attention, monitoring, and processing of biological motion during the observed nonverbal social interactions, influencing the participants' responses to offers. These findings shed light on electrophysiological correlates of response to observed social interactions that predict subsequent social decisions.

Proof-of-concept evidence for trimodal simultaneous investigation of human brain function.

The link between spatial (where) and temporal (when) aspects of the neural correlates of most psychological phenomena is not clear. Elucidation of this relation, which is crucial to fully understand human brain function, requires integration across multiple brain imaging modalities and cognitive tasks that reliably modulate the engagement of the brain systems of interest. By overcoming the methodological challenges posed by simultaneous recordings, the present report provides proof-of-concept evidence for a novel approach using three complementary imaging modalities: functional magnetic resonance imaging (fMRI), event-related potentials (ERPs), and event-related optical signals (EROS). Using the emotional oddball task, a paradigm that taps into both cognitive and affective aspects of processing, we show the feasibility of capturing converging and complementary measures of brain function that are not currently attainable using traditional unimodal or other multimodal approaches. This opens up unprecedented possibilities to clarify spatiotemporal integration of brain function.

Updates in artificial intelligence in gastroenterology endoscopy in 2020.

PURPOSE OF REVIEW: Artificial intelligence is becoming rapidly integrated into modern technology including medicine. Artificial intelligence has a wide range of potential in gastroenterology, particularly with endoscopy, given the required analysis of large datasets of images. The aim of this review is to summarize the advances of artificial intelligence in gastroenterology (GI) endoscopy over the past year. RECENT FINDINGS: Computer-aided detection (CADe) systems during real-time colonoscopy have resulted in increased adenoma detection rate with no significant increase in procedure times. Deep learning techniques have been utilized to accurately assess bowel preparation quality, which would impact surveillance colonoscopy recommendations. For the upper GI tract, CADe systems have been developed to aid in improving the diagnosis of Barrett's neoplasia during real-time endoscopy. Artificial intelligence-assisted real-time endoscopy has been shown to reduce blind spots during EGD. SUMMARY: The application of artificial intelligence in gastroenterology endoscopy remains promising. Advances over the past year include improved detection of GI neoplasia during endoscopy and characterization of lesions. Further research including randomized, multicenter trials are needed to further evaluate the use of artificial intelligence for real-time endoscopy.

Improving All-Cause Inpatient Mortality After Percutaneous Endoscopic Gastrostomy.

BACKGROUND AND AIMS: Percutaneous gastrostomy (PEG) is a common inpatient procedure. Prior data from National Inpatient Sample (NIS) in 2006 reported a mortality rate of 10.8% and recommended more careful selection of PEG candidates. This study assessed for improvement in the last 10 years in mortality rate and complications for hospitalized patients. METHODS: A retrospective cohort analysis of all adult inpatients in the NIS from 2006 to 2016 undergoing PEG placement compared demographics and indication for PEG placement per ICD coding. Survey-based means and proportions were compared to 2006, and rates of change in mortality and complication rates were trended from 2006 through 2016 and compared with linear regression. Multivariable survey-adjusted logistic regression was used to determine predictors of mortality and complications in the 2016 sample. RESULTS: A total of 155,550 patients underwent PEG placement in 2016, compared with 174,228 in 2006. Mortality decreased from 10.8 to 6.6% without decreased comorbidities (p < 0.001). This trend was gradual and persistent over 10 years in contrast to a stable overall inpatient mortality rate (p = 0.113). Stroke remained the most common indication (29.7%). The majority of patients (64.6%) had Medicare. Indications for placement were stable. Complication rates were stable from 2006 (4.4%) to 2016 (5.1%) (p = 0.201). CONCLUSIONS: Inpatient PEG placement remains common. Despite similar patient characteristics, mortality has decreased by approximately 40% over the last 10 years without a decrease in complications likely reflecting improved patient selection.