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Gastrointestinal (GI) symptoms often affect children with autism spectrum disorders (ASD) and GI symptoms have been associated with an abnormal fecal microbiome. There is limited evidence of Candida species being more prevalent in children with ASD. We enrolled 20 children with ASD and GI symptoms (ASD + GI), 10 children with ASD but no GI symptoms (ASD - GI), and 20 from typically developing (TD) children in this pilot study. Fecal mycobiome taxa were analyzed by Internal Transcribed Spacer sequencing. GI symptoms (GI Severity Index [GSI]), behavioral symptoms (Social Responsiveness Scale -2 [SRS-2]), inflammation and fungal immunity (fecal calprotectin and serum dectin-1 [ELISA]) were evaluated. We observed no changes in the abundance of total fungal species (alpha diversity) between groups. Samples with identifiable Candida spp. were present in 4 of 19 (21%) ASD + GI, in 5 of 9 (56%) ASD - GI, and in 4 of 16 (25%) TD children (overall P = 0.18). The presence of Candida spp. did not correlate with behavioral or GI symptoms (P = 0.38, P = 0.5, respectively). Fecal calprotectin was normal in all but one child. Finally, there was no significance in serum dectin-1 levels, suggesting no increased fungal immunity in children with ASD. Our data suggest that fungi are present at normal levels in the stool of children with ASD and are not associated with gut inflammation.

ObjectiveSacroiliac (SI) joint and spinal inflammation are characteristic of ankylosing spondylitis (AS), but some patients with AS have been identified who have discordant radiographic disease. We studied an AS subgroup with long-standing disease and fused SI joints. We identified factors associated with discrepant degrees of radiographic damage between the SI joints and spine.MethodsFrom the Prospective Study of Outcomes in AS (PSOAS) cohort, patients with a disease duration ≥ 20 years and fused SI joints were included in a nested case-control design. Patients with and without syndesmophytes were used as cases and controls for analysis. We used classification and regression tree (CART) analysis to determine risk factors for syndesmophytes presence and reexamined the validity of the risk factors using univariable logistic regression models.ResultsThere were 354 patients in the subgroup, 23 of whom lacked syndesmophytes. CART analysis showed females were less likely to have syndesmophytes. The next important predictor was age of symptom onset in males, with age of onset ≤ 16 years being less likely to have syndesmophytes. Univariable analysis confirmed females were less likely to have syndesmophytes (odds ratio [OR] 0.17, 95% CI 0.07-0.41). Syndesmophyte presence was associated with HLA-B27 positivity (P= 0.03) and age of symptom onset > 16 years old (OR 2.72, 95% CI 1.15-6.45). All 23 patients who lacked syndesmophytes were HLA-B27 positive.ConclusionUsing CART analysis and univariable modeling, women were less likely to have syndesmophytes despite advanced disease duration and SI joint disease. Patients with younger age of symptom onset were less likely to have syndesmophytes. All patients without syndesmophytes were HLA-B27 positive, indicating HLA-B27 positivity may be more associated with SI disease than spinal disease.

Peri-stent restenosis following stent implantation is a major clinical problem. We have previously demonstrated that ultrasound-facilitated liposomal delivery of pioglitazone (PGN) to the arterial wall attenuated in-stent restenosis. To evaluate ultrasound mediated arterial delivery, in Yucatan miniswine, balloon inflations were performed in the carotid and subclavian arteries to simulate stent implantation and induce fibrin formation. The fibrin-binding peptide, GPRPPGGGC, was conjugated to echogenic liposomes (ELIP) containing dinitrophenyl-L-alanine-labelled pioglitazone (DNP-PGN) for targeting purposes. After pre-treating the arteries with nitroglycerine, fibrin-binding peptide-conjugated PGN-loaded ELIP (PAFb-DNP-PGN-ELIP also termed atheroglitatide) were delivered to the injured arteries

A study that uses academic data from a questionnaire to determine the impacts, if any, that the switch to virtual learning had on the academic performance of High School students during the COVID-19 era.

Soon after commencement of the SARS-CoV-2 disease outbreak of 2019 (COVID-19), it became evident that the receptor-binding domain of the viral spike protein is the target of neutralizing antibodies that comprise a critical element of protective immunity to the virus. This study addresses the relative lack of information regarding actual antibody concentrations in convalescent plasma samples from COVID-19 patients and extends these analyses to post-vaccination samples to estimate protective IgG antibody (Ab) levels. Both sample populations were similar and a protective Ab level of 7.5 µg/ml was determined, based on 95% of the normal distribution of the post-vaccination population. The results of this study have implications for future vaccine development, projection of protective efficacy duration, and understanding of the immune response to SARS-CoV-2 infection.One-Sentence SummaryUsing two quantitative immunoassays, we have found similar IgG antibody responses to the SARS-CoV-2 spike protein in populations of COVID-19 survivors and vaccine recipients that indicate a protective antibody concentration.

Objectives Little is known with certainty about the natural history of spinal disease progression in ankylosing spondylitis (AS). Our objective was to discover if there were distinct patterns of change in vertebral involvement over time and to study associated clinical factors. Methods Data were analysed from the Prospective Study of Outcomes in Ankylosing Spondylitis (PSOAS) observational cohort. All patients met modified New York Criteria for AS and had ≥2 sets of radiographs scored by modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) by two independent readers between 2002 and 2017. Group-based trajectory modelling (GBTM) was used to classify patients into distinct groups of longitudinal mSASSS considering sociodemographic and clinical covariables. The optimal trajectory model and number of trajectories was selected using Nagin’s Bayesian information criterion (BIC). Results A total of 561 patients with 1618 radiographs were analysed. The optimum number of trajectory groups identified was four (BIC −4062). These groups were subsequently categorized as: non-progressors (204 patients), late-progressors (147 patients), early-progressors (107 patients) and rapid-progressors (103 patients). Baseline predictors associated with higher spinal disease burden groups included: baseline mSASSS, male gender, longer disease duration, elevated CRP and smoking history. In addition, time-varying anti-TNF use per year was associated with decreased mSASSS progression only in the rapid-progressor group. Conclusions GBTM identified four distinct patterns of spinal disease progression in the PSOAS cohort. Male gender, longer disease duration, elevated CRP and smoking were associated with higher spinal disease groups. Independent confirmation in other AS cohorts is needed to confirm these radiographic patterns.

Introduction: We sought to predict the course and rate of functional improvement and length of stay (LOS) in patients with ischemic and hemorrhagic strokes admitted to inpatient rehabilitation facilities(IRF). Aim: To study the course and associating factors affecting functional outcomes among a large cohort of stroke patients admitted to IRFs. Methods: The cohort consists of stroke patients admitted to 5 IRFs in Houston, between 4/17-8/19. Higher order polynomial (quartic, cubic, quadratic) regressions were fitted to predict the temporal relationship between FIM score improvement and LOS, and based on goodness of fit statistics, cubic polynomial fit was selected. Effects of interactions were tested and later dropped from the final model because of non-statistical significance. Models were adjusted for age, gender, stroke type (hemorrhagic vs ischemic), and stroke severity based on NIHSS. Results: The demographics of patients are presented in table 1. Among 679 patients, the univariate analyses reflected that age (F=24.2, p p p Conclusion: Patient’s age, ischemic vs hemorrhagic stroke were the most significant predictors when deriving the relationship between total FIM score and LOS while adjusting for stroke severity and patient’s gender, which plateaued after 2 weeks of IRF stay.

Introduction: We assessed the impact of COVID-19 pandemic on stroke admissions and care metrics within a health system of 10 stroke centers, with 4 comprehensive stroke centers (CSC) in the greater Houston region. Methods: Between January-June 2019 and January-June 2020, we compared the proportion of ischemic strokes (total & direct CSC presentations) & intracerebral hemorrhage (ICH) relative to total admissions using logistic regression, and among the direct CSC presentations, we compared door to tPA and thrombectomy times using Wilcoxon Rank Sum. Results: A total of 4808 cases were assessed (Table 1). There was an initial drop of ~30% in cases at the pandemic onset (Fig.1). Numerically fewer patients in the 2020 period were seen at primary and CSCs (Table 1). Compared to 2019, there was a significant reduction in transferred patients [N(%), 829 (36) vs. 637 (34), p=0.02], in hospital strokes [N(%), 111 (5) vs. 69 (4), p=0.04], and mild strokes (NIHSS 1-5) [N (%), 891 (43) vs. 635 (40),p=0.02], and no significant differences in the proportions of total ischemic strokes [OR (95% CI)=0.92 (0.79, 1.06), p=0.23], direct CSC presentations [OR (95% CI) =0.96 (0.86, 1.08), p=0.48] and ICH [OR (95% CI) =1.14 (0.98, 1.33), p=0.08] in 2020 (Fig. 1). Among the direct ischemic strokes at CSCs, there were similar mean (SD) (mins) door to tPA [44 (17) vs. 42 (17), p=0.14] but significantly prolonged door to thrombectomy times [94 (15) vs. 85 (20), p=0.005] in 2020. Conclusion: COVID-19 pandemic led to reduced mild stroke admissions, transfers and in hospital stroke alerts, & prolonged door to thrombectomy times. Identifying reasons to mitigate this discrepancy is crucial for next pandemic preparedness.

Background: Good collateral flow has been shown to have better outcomes after acute ischemic stroke (AIS), including for patients receiving IV thrombolysis (IVT) and mechanical thrombectomy (MT). Hypothesis: In patients with AIS who undergo MT, good collateral flow is associated with better functional independence measure (FIM) change. Design/Methods: Data was collected retrospectively for patients who presented with AIS and were treated with MT. A total of 54 patients from 4 inpatient rehabilitation facility (IRF) locations between April 2017 and August 2019 were included. Collateral score was collected from angiograms and CT angiogram (CTA) in cases where an angiogram was not available. FIM change was defined as the difference in FIM at admission to IRF and discharge from IRF. Regression analyses were conducted to estimate the relationship between collateral score and FIM change. The predictors in the model included collateral score, FIM at admission to IRF, age at onset, and gender. Logistic regression was used for categorical variables and linear regression was applied for continuous variables. Statistical significance level was set at 0.05. Collaterals were scored from 0 to 4, with 0 to 2 being poor and good collateral flow defined as scores 3 and 4. The primary outcome of this study was FIM change. Results: The mean age was 70.4 years, and 54.5% was female. Regression analyses did not show any significant differences in FIM change in patients with collaterals ranging from poor to good p = 0.807 (Table 1), when adjusted for age, gender, and severity as represented by FIM at admission to IRF. Conclusion: In this patient cohort, good collateral flow was not associated with improvement in FIM change.

Introduction: We asked whether intracerebral hemorrhage (ICH) patients admitted to inpatient rehabilitation facilities(IRF) improve differently based on their involvement of the corticospinal tract(CST). Aim: To predict associating radiological factors affecting discharge FIM score. Methods: We reviewed the patients’ characteristics and their respective imaging findings presenting with ICH between 4/17 to 8/19. The ICH volume and edema around the ICH were measured using analyze software. The main outcome measure was FIM score at time of discharge. Statistical significance was set at 0.05. Results: Among the 53 patients included, 49% were female. The median age of the patients was 62 years (IQR 25,89). The median length of stay at IRF was 22days (IQR 14,26). In univariate analysis, FIM score at the time of discharge FIM score at the time of discharge admission were significantly associated with NIHSS (estimate -1.26, pp = 0.008), gender ( p p p =0.02). Conclusion: This preliminary study suggests that functional improvement declines in ICH patients with CST involvement.

12128 Background: Major stressful life events have been shown to be associated with an increased risk of lung cancer, breast cancer and the development of various chronic illnesses. The stress response generated by our body results in a variety of physiological and metabolic changes which can affect the immune system, endocrine system and metabolism which has been shown to be associated with tumor progression. There is an indication that stress may need to be considered as a risk factor for malignancies. Methods: This is a matched case control study. The objective of this study was to determine if major stressful life events are associated with the incidence of head, neck, and pancreatic cancer (HNPC). Cases (CA) were HNPC patients diagnosed within the previous 12 months. Controls (CO) were patients without a prior history of malignancy and were matched with the cases by age and smoking status. Basic demographic data and medical information were collected from the patient’s medical records. Data on major stressful life events were collected using the modified Holmes-Rahe stress scale, and the following variables: death of a spouse, death of a child/immediate family member, serious personal illness, divorce/separation, loss of a job, caring for ill family member, financial difficulties, relocation, stress at work, detention/incarceration and retirement. A total sample of 300 was needed (100 cases, 200 controls) to achieve at least 80% power to detect odds ratios (OR) of 2.00 or higher at 5% level of significance. Results: From January 2018 to August 2021, 278 patients were enrolled (CA = 77, CO = 201) matched for mean age (years) (CA = 63, CO = 64), median smoking exposure (years) (CA = 36, CO = 38). About 65% of patients in CA group and 49% of CO group were male and 54% and 46% of the CA and CO groups respectively were of white race. In a multivariable logistic regression analysis after controlling for potential confounding variables (including sex, age, race, education, marital status, smoking history), there was no difference in lifetime incidence of major stressful event between the cases and controls. However, patients with HNPC were significantly more likely to report a major stressful life event within past 5 years when compared to CO [OR = 2.59 (1.24, 5.44), p = 0.012]. Conclusions: Patients with head, neck and pancreatic cancers are significantly associated with having a major stressful life event within 5 years of their diagnosis. This study highlights the potential need to recognize stressful life events as risk factors for developing malignancies and consider incorporating early rehabilitative efforts for major life stressful events.

Ankylosing spondylitis (AS) is characterized by inflammation of the spine and sacroiliac joints causing pain and stiffness and, in some patients, ultimately new bone formation, and progressive joint ankyloses. The classical definition of AS is based on the modified New York (mNY) criteria. Limited data have been reported regarding data quality assurance procedure for multicenter or multisite prospective cohort of patients with AS. Since 2002, 1272 qualified AS patients have been enrolled from five sites (4 US sites and 1 Australian site) in the Prospective Study Of Ankylosing Spondylitis (PSOAS). In 2012, a Data Management and Statistical Core (DMSC) was added to the PSOAS team to assist in study design, establish a systematic approach to data management and data quality, and develop and apply appropriate statistical analysis of data. With assistance from the PSOAS investigators, DMSC modified Case Report Forms and developed database in Research Electronic Data Capture (REDCap). DMSC also developed additional data quality assurance procedure to assure data quality. The error rate for various forms in PSOAS databases ranged from 0.07% for medications data to 1.1% for arthritis activity questionnaire-Global pain. Furthermore, based on data from a sub study of 48 patients with AS, we showed a strong level (90.0%) of agreement between the two readers of X-rays with respect to modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). This paper not only could serve as reference for future publications from PSOAS cohort but also could serve as a basic guide to ensuring data quality for multicenter clinical studies. Keywords: Ankylosing spondylitis, Data quality, Harmonization, PSOAS cohort, Reliability of data