Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer's disease classification.

Alzheimer's disease (AD), a neurodegenerative disease that mostly affects the elderly, slowly impairs memory, cognition, and daily tasks. AD has long been one of the most debilitating chronic neurological disorders, affecting mostly people over 65. In this study, we investigated the use of Vision Transformer (ViT) for Magnetic Resonance Image processing in the context of AD diagnosis. ViT was utilized to extract features from MRIs, map them to a feature sequence, perform sequence modeling to maintain interdependencies, and classify features using a time series transformer. The proposed model was evaluated using ADNI T1-weighted MRIs for binary and multiclass classification. Two data collections, Complete 1Yr 1.5T and Complete 3Yr 3T, from the ADNI database were used for training and testing. A random split approach was used, allocating 60% for training and 20% for testing and validation, resulting in sample sizes of (211, 70, 70) and (1378, 458, 458), respectively. The performance of our proposed model was compared to various deep learning models, including CNN with BiL-STM and ViT with Bi-LSTM. The suggested technique diagnoses AD with high accuracy (99.048% for binary and 99.014% for multiclass classification), precision, recall, and F-score. Our proposed method offers researchers an approach to more efficient early clinical diagnosis and interventions.

COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation.

BACKGROUND: Recent single-center reports have suggested that community-acquired bacteremic co-infection in the context of Coronavirus disease 2019 (COVID-19) may be an important driver of mortality; however, these reports have not been validated with a multicenter, demographically diverse, cohort study with data spanning the pandemic. METHODS: In this multicenter, retrospective cohort study, inpatient encounters were assessed for COVID-19 with community-acquired bacteremic co-infection using 48-h post-admission blood cultures and grouped by: (1) confirmed co-infection [recovery of bacterial pathogen], (2) suspected co-infection [negative culture with ≥ 2 antimicrobials administered], and (3) no evidence of co-infection [no culture]. The primary outcomes were in-hospital mortality, ICU admission, and mechanical ventilation. COVID-19 bacterial co-infection risk factors and impact on primary outcomes were determined using multivariate logistic regressions and expressed as adjusted odds ratios with 95% confidence intervals (Cohort, OR 95% CI, Wald test p value). RESULTS: The studied cohorts included 13,781 COVID-19 inpatient encounters from 2020 to 2022 in the University of Alabama at Birmingham (UAB, n = 4075) and Ochsner Louisiana State University Health-Shreveport (OLHS, n = 9706) cohorts with confirmed (2.5%), suspected (46%), or no community-acquired bacterial co-infection (51.5%) and a comparison cohort consisting of 99,170 inpatient encounters from 2010 to 2019 (UAB pre-COVID-19 pandemic cohort). Significantly increased likelihood of COVID-19 bacterial co-infection was observed in patients with elevated ≥ 15 neutrophil-to-lymphocyte ratio (UAB: 1.95 [1.21-3.07]; OLHS: 3.65 [2.66-5.05], p < 0.001 for both) within 48-h of hospital admission. Bacterial co-infection was found to confer the greatest increased risk for in-hospital mortality (UAB: 3.07 [2.42-5.46]; OLHS: 4.05 [2.29-6.97], p < 0.001 for both), ICU admission (UAB: 4.47 [2.87-7.09], OLHS: 2.65 [2.00-3.48], p < 0.001 for both), and mechanical ventilation (UAB: 3.84 [2.21-6.12]; OLHS: 2.75 [1.87-3.92], p < 0.001 for both) across both cohorts, as compared to other risk factors for severe disease. Observed mortality in COVID-19 bacterial co-infection (24%) dramatically exceeds the mortality rate associated with community-acquired bacteremia in pre-COVID-19 pandemic inpatients (5.9%) and was consistent across alpha, delta, and omicron SARS-CoV-2 variants. CONCLUSIONS: Elevated neutrophil-to-lymphocyte ratio is a prognostic indicator of COVID-19 bacterial co-infection within 48-h of admission. Community-acquired bacterial co-infection, as defined by blood culture-positive results, confers greater increased risk of in-hospital mortality, ICU admission, and mechanical ventilation than previously described risk factors (advanced age, select comorbidities, male sex) for COVID-19 mortality, and is independent of SARS-CoV-2 variant.

Highly socially vulnerable communities exhibit disproportionately increased viral loads as measured in community wastewater.

Wastewater surveillance has proven to be a useful tool for evidence-based epidemiology in the fight against the SARS-CoV-2 virus. It is particularly useful at the population level where acquisition of individual test samples may be time or cost-prohibitive. Wastewater surveillance for SARS-CoV-2 has typically been performed at wastewater treatment plants; however, this study was designed to sample on a local level to monitor the spread of the virus among three communities with distinct social vulnerability indices in Shreveport, Louisiana, located in a socially vulnerable region of the United States. Twice-monthly grab samples were collected from September 30, 2020, to March 23, 2021, during the Beta wave of the pandemic. The goals of the study were to examine whether: 1) concentrations of SARS-CoV-2 RNA in wastewater varied with social vulnerability indices and, 2) the time lag of spikes differed during wastewater monitoring in the distinct communities. The size of the population contributing to each sample was assessed via the quantification of the pepper mild mottle virus (PMMoV), which was significantly higher in the less socially vulnerable community. We found that the communities with higher social vulnerability exhibited greater viral loads as assessed by wastewater when normalized with PMMoV (Kruskal-Wallis, p < 0.05). The timing of the spread of the virus through the three communities appeared to be similar. These results suggest that interconnected communities within a municipality experienced the spread of the SARS-CoV-2 virus at similar times, but areas of high social vulnerability experienced more intense wastewater viral loads.

COVID-19 Concerns, Vaccine Acceptance and Trusted Sources of Information among Patients Cared for in a Safety-Net Health System.

We examined COVID-19 concerns, vaccine acceptance, and trusted sources of information among patients in a safety-net health system in Louisiana. The participants were surveyed via structured telephone interviews over nine months in 2021. Of 204 adult participants, 65% were female, 52% were Black, 44.6% were White, and 46.5% were rural residents. The mean age was 53 years. The participants viewed COVID-19 as a serious public health threat (8.6 on 10-point scale). Black adults were more likely to perceive the virus as a threat than White adults (9.4 vs. 7.6 p < 0.0001), urban residents more than rural (9.0 vs. 8.2 p = 0.02), females more than males (8.9 vs. 8.1 p = 0.03). The majority (66.7%) had gotten the COVID-19 vaccine, with females being more likely than males (74.7 vs. 54.5% p = 0.02). There was no difference by race or rural residence. Overall, participants reported that physicians were the most trusted source of COVID-19 vaccine information (77.6%); followed by the CDC/FDA (50.5%), State Department of Health (41.4%), pharmacists (37.1%), nurses (36.7%); only 3.8% trusted social media. All sources were more trusted among black adults than White adults except family and social media. These findings could help inform efforts to design trustworthy public health messaging and clinical communication about the virus and vaccines.

Morbidity and respiratory outcomes in infants requiring tracheostomy for severe bronchopulmonary dysplasia.

OBJECTIVE: The decision for tracheostomy for bronchopulmonary dysplasia (BPD) is highly variable and often dictated by local practice. We aimed to characterize morbidity, mortality, and respiratory outcomes in preterm infants undergoing tracheostomy for severe BPD. STUDY DESIGN: We retrospectively reviewed a single-center 4-year cohort of all infants born <33 weeks gestational age (GA) that required tracheostomy due to severe BPD. Indications for tracheostomy apart from BPD were excluded. Demographic information, comorbidities, respiratory management, age at tracheostomy, post-discharge respiratory outcomes, and survival were examined up to at least 5 years of age. RESULTS: At a mean corrected GA of 43.3 weeks, 49 preterm infants with severe BPD required tracheostomy. Forty-six infants (94%) had long-term follow-up. Compared to survivors, the 12 (26.1%) infants that died were significantly more likely to be small for gestational age (SGA) or require treatment for pulmonary hypertension. GA, birth weight, sex, antenatal corticosteroid exposure, need for patent ductus arteriosus ligation, and magnitude of respiratory support at tracheostomy placement were not associated with mortality. At the latest follow-up, 97% were liberated from mechanical ventilation and 79% decannulated. Morbidities of the upper airway were common, and 13/27 (47%) decannulated infants had required airway reconstruction. CONCLUSION: Preterm infants undergoing tracheostomy experienced significant mortality, particularly those who were SGA or had pulmonary hypertension. However, by 5 years of age, most infants liberalized from mechanical ventilation and decannulated. Magnitude of respiratory support at time of tracheostomy was not associated with mortality and should not deter intervention. Nearly half of patients required airway reconstruction before decannulation.