Impact of COVID-19 pandemic on hepatocellular carcinoma surveillance in British Columbia, Canada: An interrupted time series study.

We assessed the impact of the COVID-19 pandemic on hepatocellular carcinoma (HCC) surveillance among individuals with HCV diagnosed with cirrhosis in British Columbia (BC), Canada. We used data from the British Columbia Hepatitis Testers Cohort (BC-HTC), including all individuals in the province tested for or diagnosed with HCV from 1 January 1990 to 31 December 2015, to assess HCC surveillance. To analyse the impact of the pandemic on HCC surveillance, we used pre-policy (January 2018 to February 2020) and post-policy (March to December 2020) periods. We conducted interrupted time series (ITS) analysis using a segmented linear regression model and included first-order autocorrelation terms. From January 2018 to December 2020, 6546 HCC screenings were performed among 3429 individuals with HCV and cirrhosis. The ITS model showed an immediate decrease in HCC screenings in March and April 2020, with an overall level change of -71 screenings [95% confidence interval (CI): -105.9, -18.9]. We observed a significant decrease in HCC surveillance among study participants, regardless of HCV treatment status and age group, with the sharpest decrease among untreated HCV patients. A recovery of HCC surveillance followed this decline, reflected in an increasing trend of 7.8 screenings (95% CI: 0.6, 13.5) per month during the post-policy period. There was no level or trend change in the number of individuals diagnosed with HCC. We observed a sharp decline in HCC surveillance among people living with HCV and cirrhosis in BC following the COVID-19 pandemic control measures. HCC screening returned to pre-pandemic levels by mid-2020.

Understanding the impact of mobility on COVID-19 spread: A hybrid gravity-metapopulation model of COVID-19.

The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan, China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can be attributed to many factors including its high infectiousness and the high rate of human mobility around the world. Although travel/movement restrictions and other non-pharmaceutical interventions aimed at controlling the disease spread were put in place during the early stages of the pandemic, these interventions did not stop COVID-19 spread. To better understand the impact of human mobility on the spread of COVID-19 between regions, we propose a hybrid gravity-metapopulation model of COVID-19. Our modeling framework has the flexibility of determining mobility between regions based on the distances between the regions or using data from mobile devices. In addition, our model explicitly incorporates time-dependent human mobility into the disease transmission rate, and has the potential to incorporate other factors that affect disease transmission such as facemasks, physical distancing, contact rates, etc. An important feature of this modeling framework is its ability to independently assess the contribution of each factor to disease transmission. Using a Bayesian hierarchical modeling framework, we calibrate our model to the weekly reported cases of COVID-19 in thirteen local health areas in Metro Vancouver, British Columbia (BC), Canada, from July 2020 to January 2021. We consider two main scenarios in our model calibration: using a fixed distance matrix and time-dependent weekly mobility matrices. We found that the distance matrix provides a better fit to the data, whilst the mobility matrices have the ability to explain the variance in transmission between regions. This result shows that the mobility data provides more information in terms of disease transmission than the distances between the regions.

Impact of direct-acting antivirals for HCV on mortality in a large population-based cohort study.

BACKGROUND & AIMS: We evaluated the effect of direct-acting antiviral (DAA)-induced sustained virologic response (SVR) on all-cause, liver- and drug-related mortality in a population-based cohort in British Columbia, Canada. METHODS: We used data from the British Columbia Hepatitis Testers Cohort, which includes people tested for HCV since 1990, linked with data on medical visits, hospitalizations, prescription drugs and mortality. We followed people who received DAAs and people who did not receive any HCV treatment to death or December 31, 2019. We used inverse probability of treatment weighting to balance the baseline profile of treated and untreated individuals and performed multivariable proportional hazard modelling to assess the effect of DAAs on mortality. RESULTS: Our cohort comprised 10,851 people treated with DAAs (SVR 10,426 [96%], no-SVR: 425) and 10,851 matched untreated individuals. Median follow-up time was 2.2 years (IQR 1.3-3.6; maximum 6.2). The all-cause mortality rate was 19.5/1,000 person-years (PY) among the SVR group (deaths = 552), 86.5/1,000 PY among the no-SVR group (deaths = 96), and 99.2/1,000 PY among the untreated group (deaths = 2,133). In the multivariable model, SVR was associated with significant reduction in all-cause (adjusted hazard ratio [aHR] 0.19; 95% CI 0.17-0.21), liver- (adjusted subdistribution HR [asHR] 0.22, 95% CI 0.18-0.27) and drug-related mortality (asHR 0.26, 95% CI 0.21-0.32) compared to no-treatment. Older age and cirrhosis were associated with higher risk of liver-related mortality while younger age, injection drug use (IDU), problematic alcohol use and HIV/HBV co-infections were associated with a higher risk of drug-related mortality. CONCLUSIONS: DAA treatment is associated with a substantial reduction in all-cause, liver- and drug-related mortality. The association of IDU and related syndemic factors with a higher risk of drug-related mortality calls for an integrated social support, addiction, and HCV care approach among people who inject drugs. LAY SUMMARY: We assessed the effect of treatment of hepatitis C virus infection with direct-acting antiviral drugs on deaths from all causes, liver disease and drug use. We found that treatment with direct-acting antiviral drugs is associated with substantial lowering in risk of death from all causes, liver disease and drug use among people with hepatitis C virus infection.

HCV reinfection rates after cure or spontaneous clearance among HIV-infected and uninfected men who have sex with men.

BACKGROUND & AIMS: Hepatitis C virus (HCV) reinfection among high-risk groups threatens HCV elimination goals. We assessed HCV reinfection rates among men who have sex with men (MSM) in British Columbia (BC), Canada. METHODS: We used data from the BC Hepatitis Testers Cohort, which includes nearly 1.7 million individuals tested for HCV or HIV in BC. MSM who had either achieved sustained virologic response (SVR) after successful HCV treatment, or spontaneous clearance (SC) and had ≥1 subsequent HCV RNA measurement, were followed from the date of SVR or SC until the earliest of reinfection, death, or last HCV RNA measurement. Predictors of reinfection were identified by Cox proportional modelling. The earliest study start date was 6 November 1997 and latest end date was 13 April 2018. RESULTS: Of 1349 HCV-positive MSM who met the inclusion criteria, 493 had SC while 856 achieved SVR. 349 (25.65%) had HIV coinfection. We identified 98 reinfections during 5203 person-years (PYs) yielding a reinfection rate of 1.88/100PYs. The reinfection rate among SC (2.74/100PYs) was more than twice that of those with SVR (1.03/100 PYs). Problematic alcohol use (aHR 1.73, 95% CI 1.003-2.92), injection drug use (aHR 2.60, 95% CI 1.57-4.29) and HIV coinfection (aHR 2.04, 95% CI 1.29-3.23) were associated with increased risk of HCV reinfection. Mental health counselling history (aHR 0.24, 95% CI 0.13-0.46) was associated with reduced HCV reinfection risk. CONCLUSIONS: There is the need to engage MSM in harm reduction and prevention services following treatment to reduce reinfection risk.

Towards TB elimination: how are macro-level factors perceived and addressed in policy initiatives in a high burden country?

BACKGROUND: Notwithstanding extensive general discussion of the effects of upstream forces on health, there has been limited empirical examination, let alone systematic evidence documenting policy responses to such pathways in the area of tuberculosis (TB) management and control. Our study aimed to gain insight into how macro level drivers of TB are perceived by key stakeholders involved in TB management and control in a high-endemic country, and to assess how such concerns are being addressed in policy initiatives in this setting. South Africa was chosen for this case study due to our team's long-standing collaborations there, its very high burden of TB, and its introduction of a strategic plan to combat this disease. METHOD: Semi-structured interviews were conducted with 20 key informants who were purposively selected for their knowledge and expertise of TB in South Africa. South Africa's National Strategic Plan for HIV, TB and STIs 2017-2022 was then reviewed to examine how identified themes from the interviews were reflected in this policy document. RESULTS: A history of colonization, the migrant labour system, economic inequality, poor shelter, health system challenges including TB governance, the HIV epidemic, and pertinent socio-cultural factors were all perceived to be major drivers of the epidemic. Although South Africa's current National Strategic Plan makes a firm discursive commitment to addressing the structural or macro-level drivers of TB, our analysis revealed that this commitment was not clearly reflected in projected budgetary allocations. CONCLUSION: As in many other high burden settings, macro-level drivers of TB are widely recognized. Nonetheless, while micro-level (biomedical and clinical) measures, such as improving diagnostic procedures and investment in more efficacious drugs, are being (and well should be) implemented, our findings showed that macro-level drivers of TB are underrepresented in budgeting allocations for initiatives to combat this disease. Although it could be argued that structural drivers that undermine health-promoting actions are beyond the purview of the health sector itself, we argue that strategic plans to combat TB in high burden settings need more attention to directly considering such drivers to prompt the necessary changes and reduce the burden of this and other such diseases.

Revisiting the healthy immigrant effect with diabetes risk in Canada: why race/ethnicity matters.

Objective: Evidence shows that recent immigrants are healthier than the native-born population, a phenomenon known as the healthy immigrant effect. With increasing duration of stay, this health gap significantly narrows as immigrants' health deteriorates to either resemble or become worse than the host population. However, little is known about the category of immigrants for whom this decline is most pronounced since the extant research largely considers immigrants as a homogeneous group, thus overlooking important racial/ethnic differences.Design: Using data from the 2014 Canadian Community Health Survey (CCHS), we categorised immigrants by race/ethnicity and duration of stay in Canada and compared them to their native-born white Canadian counterparts on the likelihood of having a chronic health condition, using type 2 diabetes (T2D) as a case.Results: In the base model, recent visible minority (i.e. non-white or non-Caucasian) immigrants and recent white immigrants were less likely than the native-born white Canadian population to have T2D (recent visible minority immigrants OR = 0.46, CI = 0.27-0.79, p = 0.005; recent white immigrants OR = 0.26, CI = 0.11-0.64, p = 0.003). The odds of having T2D were significantly higher for long-term immigrants than the native-born white Canadian population (long-term visible minority immigrants OR = 1.59, CI = 1.27-2.00, p = 0.000; long-term white immigrants OR = 1.74, CI = 1.44-2.10, p = 0.000). In the multivariate model, long-term visible minority immigrants were about 2.3 times more likely than their white Canadian born counterparts to have T2D (CI = 1.86-2.96, p = 0.000). Long-term visible minority immigrants were about 2.1 times more likely than long-term white immigrants to have T2D (CI = 1.49-2.94, p = 0.000)Conclusion: Immigrants' health deterioration varies significantly across ethnic categories in Canada. Interventions for facilitating the integration of visible minority immigrants may help reduce these health inequities.

Applying equity-centered principles in an interprofessional global health course: a mixed methods study.

BACKGROUND: Medical students, practitioners and other health professionals are commonly unprepared to address the many complex issues that emerge while conducting research in the Global South. As a response to identified deficiencies in global health education, a hybrid online/face-to-face multi-institutional credit course was developed based on the equity-centered principles advanced by the Canadian Coalition for Global Health Research (CCGHR), namely Authentic partnering, Inclusion, Shared benefits, Commitment to the future, Responsiveness to causes of inequities, and Humility. This study aimed to analyze the extent to which the course was effective in fortifying attitudes consistent with the CCGHR principles; identify successes and challenges; and assess how a course such as this can fill an identified gap. METHODS: This interprofessional course was offered to 25 graduate and postgraduate students in various health professions and public health. Faculty were drawn from medicine, public health, nursing and social sciences from four universities in Western Canada. A pre-post retrospective survey, key informant interviews and participant observation were used to gather data for this study. RESULTS: Findings showed that student attitudes regarding global health research and practice significantly evolved towards views consistent with the principles articulated. The multiple instructors and hybrid course format created both opportunities and challenges; the interprofessional nature of the cohort was considered a strong asset, as was the fact that many students came from the Global South. Some students suggested that the course could be further strengthened by concretely partnering with institutions in the Global South rather than offered solely to learners registered in universities in the Global North. CONCLUSIONS: While weaknesses were identified, results support the conclusion that a course focused on the CCGHR principles could be useful in preparing the next generation of global health researchers and practitioners to mitigate historical limitations in this field. Longitudinal follow-up is warranted to provide more definitive conclusions.

A novel gold marker to aid intraoperative localisation during spinal surgery!

Methods of pre-operative level marking for spinal surgery include fiducial implants, coil implants, spinal needle implant, methylene blue and cement injection. We describe a novel gold marker used for preoperative spinal marking and report our experience.The notes and scans of patients who had gold marker for preoperative spinal marking over the period from June 2016 to November 2018 were analysed.20 patients had preoperative spinal marking using the gold marker. The accuracy was 100% and there were no complications. Compared to injecting cement, we save over £700 per patient!

Association of Delay in Appendectomy With Perforation in Children With Appendicitis.

OBJECTIVE: The aim of this study was to assess whether increased time from emergency department (ED) triage to appendectomy is associated with a greater risk of children developing appendiceal perforation. METHODS: We performed a multicenter retrospective cohort study of children younger than 18 years hospitalized with appendicitis. To avoid enrolling patients who had perforated prior to ED arrival, we included only children who had a computed tomography (CT) scan demonstrating nonperforated appendicitis. Time to appendectomy was measured as time from ED triage to incision. The main outcome was appendiceal perforation as documented in the surgical report. Variables associated with perforation in bivariate analysis (P < 0.05) were adjusted for using logistic regression. RESULTS: Overall, 857 patients had a CT scan that demonstrated nonperforated appendicitis. The median age was 12 years (interquartile range, 9-15 years), and 500 (58%) were male. The median time to appendectomy was 11 hours (interquartile range, 8-15 hours). In total, 111 patients (13%) had perforated appendicitis at operation. Children who developed perforation were more likely to require additional CT scans and return to the ED and had a significantly longer length of stay. After adjusting for potential confounders, every hour increase in the time from ED triage to incision was independently associated with a 2% increase in the odds of perforation (P = 0.03; adjusted odds ratio, 1.02; 95% confidence interval, 1.00-1.04). CONCLUSIONS: Delays in appendectomy were associated with an increase in the odds of perforation. These results suggest that prolonged delays to appendectomy might be harmful for children with appendicitis and should be minimized to prevent associated morbidity.

Comparison of 3D cellular imaging techniques based on scanned electron probes: Serial block face SEM vs. Axial bright-field STEM tomography.

Microscopies based on focused electron probes allow the cell biologist to image the 3D ultrastructure of eukaryotic cells and tissues extending over large volumes, thus providing new insight into the relationship between cellular architecture and function of organelles. Here we compare two such techniques: electron tomography in conjunction with axial bright-field scanning transmission electron microscopy (BF-STEM), and serial block face scanning electron microscopy (SBF-SEM). The advantages and limitations of each technique are illustrated by their application to determining the 3D ultrastructure of human blood platelets, by considering specimen geometry, specimen preparation, beam damage and image processing methods. Many features of the complex membranes composing the platelet organelles can be determined from both approaches, although STEM tomography offers a higher ∼3 nm isotropic pixel size, compared with ∼5 nm for SBF-SEM in the plane of the block face and ∼30 nm in the perpendicular direction. In this regard, we demonstrate that STEM tomography is advantageous for visualizing the platelet canalicular system, which consists of an interconnected network of narrow (∼50-100 nm) membranous cisternae. In contrast, SBF-SEM enables visualization of complete platelets, each of which extends ∼2 µm in minimum dimension, whereas BF-STEM tomography can typically only visualize approximately half of the platelet volume due to a rapid non-linear loss of signal in specimens of thickness greater than ∼1.5 µm. We also show that the limitations of each approach can be ameliorated by combining 3D and 2D measurements using a stereological approach.

Incremental update of electrostatic interactions in adaptively restrained particle simulations.

The computation of long-range potentials is one of the demanding tasks in Molecular Dynamics. During the last decades, an inventive panoply of methods was developed to reduce the CPU time of this task. In this work, we propose a fast method dedicated to the computation of the electrostatic potential in adaptively restrained systems. We exploit the fact that, in such systems, only some particles are allowed to move at each timestep. We developed an incremental algorithm derived from a multigrid-based alternative to traditional Fourier-based methods. Our algorithm was implemented inside LAMMPS, a popular molecular dynamics simulation package. We evaluated the method on different systems. We showed that the new algorithm's computational complexity scales with the number of active particles in the simulated system, and is able to outperform the well-established Particle Particle Particle Mesh (P3M) for adaptively restrained simulations. © 2018 Wiley Periodicals, Inc.

Gold catalyzed double condensation reaction: Synthesis, antimicrobial and cytotoxicity of spirooxindole derivatives.

Microwave assisted synthesis of spirooxindoles via tandem double condensation between isatins and 4-hydroxycoumarin under gold catalysis is reported. The reaction is practical to perform, since the products can be isolated by simple filtration without requiring tedious column chromatography. The scope of this chemistry is exemplified by preparing structurally diverse spirooxindoles (22 examples) in excellent yields. Antimicrobial evaluation of the synthesized compounds revealed that three compounds (3a, 3f and 3s) exhibited significant MIC values in comparison to the standard drugs. Molecular docking studies of these compounds with AmpC-ß-lactamase receptor revealed that 3a exhibited minimum binding energy (-117.819kcal/mol) indicating its strong affinity towards amino acid residues via strong hydrogen bond interaction. All compounds were also evaluated for their in vitro cytotoxicity against COLO320 cancer cells. Biological assay and molecular docking studies demonstrated that 3g is the most active compound in terms of its low IC50 value (50.0µM) and least free energy of binding (-8.99kcal/mol) towards CHK1 receptor, respectively.

Chemokine CCL19 and Its Receptors CCR7 and CCRL1 in Chronic Rhinosinusitis.

Background: CCL19 has been shown to predict disease severity in COVID-19 and treatment response in rheumatoid arthritis. CCL19 can exert both pro- and anti-inflammatory effects and is elevated in chronic rhinosinusitis (CRS). However, its role in CRS remains unknown. This study sought to determine the transcriptional changes in CCL19, its receptors, and associated cytokines and their association with disease severity in CRS. Methods: A clinical database of control subjects and patients with CRS was examined. Lund-Kennedy, Lund-Mackay, Sinonasal Outcomes Test 22 (SNOT-22), and rhinosinusitis disability index (RSDI) scores were collected at enrollment. mRNA was extracted from sinonasal tissues and subjected to multiplex gene expression analysis. Gene transcript differences between patients with CRS and controls were compared and correlated with disease severity metrics. Immunohistochemical analyses of CCL19, CCR7, and CCRL1 were conducted to compare differences in protein expression between cohorts. A subgroup analysis was performed to compare transcriptional and protein expression difference between patients with (CRSwNP) and without (CRSsNP) nasal polyps and controls. Results: Thirty-eight subjects (control group, n=7; CRS group, n=31) were included in this study. CCRL1 (p=0.0093) and CCR7 (p=0.017) levels were significantly elevated in CRS compared to those in controls. CCL19 (p=0.038) and CCR7 (p=0.0097) levels were elevated in CRSwNP and CCRL1 was elevated in CRSsNP (p=0.0004). CCR7 expression was significantly elevated in sinonasal epithelial cells in CRSwNP (p=0.04). CCL19 expression was positively correlated with TNFA expression (p<0.0002). CCL19 and CCR7 expression was positively correlated with SNOT-22 and RSDI scores (p<0.05). Conclusion: CCL19 and CCR7 may modulate TNF-α-driven pro-inflammatory signaling and contribute to increased disease severity in CRS. Mechanistic studies are required to further elucidate the role of CCRL1 in CRS.

Risk of Severe COVID-19-Related Outcomes among Patients with Cirrhosis: A Population-Based Cohort Study in Canada.

We assessed the association between cirrhosis and severe COVID-19-related outcomes among people with laboratory-diagnosed COVID-19 infection in British Columbia, Canada. We used data from the British Columbia (BC) COVID-19 Cohort, a population-based cohort that integrates data on all individuals tested for COVID-19, with data on hospitalizations, medical visits, emergency room visits, prescription drugs, chronic conditions, and deaths in the Canadian province of BC. We included all individuals aged ≥18 who tested positive for SARS-CoV-2 by real-time reverse transcription-polymerase chain reaction from 1 January 2021 to 31 December 2021. Multivariable logistic regression models were used to assess the associations of cirrhosis status with COVID-19-related hospitalization and with ICU admission. Of the 162,509 individuals who tested positive for SARS-CoV-2 and were included in the analysis, 768 (0.5%) had cirrhosis. In the multivariable models, cirrhosis was associated with increased odds of hospitalization (aOR = 1.97, 95% CI: 1.58-2.47) and ICU admission (aOR = 3.33, 95% CI: 2.56-4.35). In the analyses stratified by age, we found that the increased odds of ICU admission among people with cirrhosis were present in all the assessed age-groups. Cirrhosis is associated with increased odds of hospitalization and ICU admission among COVID-19 patients.

Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques.

The recognition of emotions is one of the most challenging issues in human-computer interaction (HCI). EEG signals are widely adopted as a method for recognizing emotions because of their ease of acquisition, mobility, and convenience. Deep neural networks (DNN) have provided excellent results in emotion recognition studies. Most studies, however, use other methods to extract handcrafted features, such as Pearson correlation coefficient (PCC), Principal Component Analysis, Higuchi Fractal Dimension (HFD), etc., even though DNN is capable of generating meaningful features. Furthermore, most earlier studies largely ignored spatial information between the different channels, focusing mainly on time domain and frequency domain representations. This study utilizes a pre-trained 3D-CNN MobileNet model with transfer learning on the spatio-temporal representation of EEG signals to extract features for emotion recognition. In addition to fully connected layers, hybrid models were explored using other decision layers such as multilayer perceptron (MLP), k-nearest neighbor (KNN), extreme learning machine (ELM), XGBoost (XGB), random forest (RF), and support vector machine (SVM). Additionally, this study investigates the effects of post-processing or filtering output labels. Extensive experiments were conducted on the SJTU Emotion EEG Dataset (SEED) (three classes) and SEED-IV (four classes) datasets, and the results obtained were comparable to the state-of-the-art. Based on the conventional 3D-CNN with ELM classifier, SEED and SEED-IV datasets showed a maximum accuracy of 89.18% and 81.60%, respectively. Post-filtering improved the emotional classification performance in the hybrid 3D-CNN with ELM model for SEED and SEED-IV datasets to 90.85% and 83.71%, respectively. Accordingly, spatial-temporal features extracted from the EEG, along with ensemble classifiers, were found to be the most effective in recognizing emotions compared to state-of-the-art methods.

Postpartum care: Discussions and counseling for the peripartum period.

BACKGROUND: Traditionally, postpartum care is confined to inpatient care immediately post birth and one appointment approximately six weeks postpartum. Data supports a continuum of care model as best for the health of mother and baby. Despite most women having significant concerns about the postpartum period, these concerns are frequently incompletely addressed by providers. We surveyed prenatal and postpartum patients to understand their concerns and experiences discussing postpartum care with providers. METHODS: Cross sectional surveys were administered between June 2019 and May 2021. Principal component analysis was used to show higher than average (positive) or lower than average (negative) conversations with providers about postpartum care examined by race, education, and parity. Chi squared tests were conducted to examine the significance of specific postpartum concerns. RESULTS: 421/450 patient surveys were analyzed, based on completion. Most patients were White (193), had post graduate degrees (188), privately insured (236), married (248), first time pregnant (152), and used doctors as their primary provider (267). Patients with lower education, higher parity and Black patients without postgraduate degrees reported higher than average postpartum counseling. Additionally, most patients expressed significant concerns about postpartum exhaustion (65.8%), breastfeeding (62.3%), pain (61.2%), physical activity (54.9%) and the baby blues (50.4%). CONCLUSIONS: Postpartum concerns are incompletely and inconsistently addressed amongst patients based on race, parity, and education. A continuum of care approach, beginning in the third trimester, through the postpartum period, may provide better counseling to address all patients' concerns.

Risk factors for COVID-19 hospitalization after COVID-19 vaccination: a population-based cohort study in Canada.

OBJECTIVES: With the uptake of COVID-19 vaccines, there is a need for population-based studies to assess risk factors for COVID-19-related hospitalization after vaccination and how they differ from unvaccinated individuals. METHODS: We used data from the British Columbia COVID-19 Cohort, a population-based cohort that includes all individuals (aged ≥18 years) who tested positive for SARS-CoV-2 by real-time reverse transcription-polymerase chain reaction from January 1, 2021 (after the start of vaccination program) to December 31, 2021. We used multivariable logistic regression models to assess COVID-19-related hospitalization risk by vaccination status and age group among confirmed COVID-19 cases. RESULTS: Of the 162,509 COVID-19 cases included in the analysis, 8,546 (5.3%) required hospitalization. Among vaccinated individuals, an increased odds of hospitalization with increasing age was observed for older age groups, namely those aged 50-59 years (odds ratio [OR] = 2.95, 95% confidence interval [CI]: 2.01-4.33), 60-69 years (OR = 4.82, 95% CI: 3.29, 7.07), 70-79 years (OR = 11.92, 95% CI: 8.02, 17.71), and ≥80 years (OR = 24.25, 95% CI: 16.02, 36.71). However, among unvaccinated individuals, there was a graded increase in odds of hospitalization with increasing age, starting at age group 30-39 years (OR = 2.14, 95% CI: 1.90, 2.41) to ≥80 years (OR = 41.95, 95% CI: 35.43, 49.67). Also, comparing all the age groups to the youngest, the observed magnitude of association was much higher among unvaccinated individuals than vaccinated ones. CONCLUSION: Alongside a number of comorbidities, our findings showed a strong association between age and COVID-19-related hospitalization, regardless of vaccination status. However, age-related hospitalization risk was reduced two-fold by vaccination, highlighting the need for vaccination in reducing the risk of severe disease and subsequent COVID-19-related hospitalization across all population groups.

Practices of sickle cell disease genetic screening and testing in the prenatal population.

BACKGROUND: Genetic screening and testing are technologies historically underutilized in Black populations despite predicting diseases like sickle cell disease (SCD), which is predominantly found in Blacks. We surveyed prenatal patients to understand choices, beliefs and experiences surrounding genetic screening and testing, specifically for SCD. METHODS: In this cross-sectional study, we surveyed 322 women during prenatal visits. Responses were analyzed to identify barriers to care and education about testing and screening for SCD. Patients rated whether they agreed or disagreed with statements regarding sickle cell health behaviors. We used χ2 tests to compare categorical variables by self-reported race. Binary logistic regression was used to determine the odds ratios and confidence intervals for each outcome. RESULTS: Women were a mean (SD) age of 33.3 (6.1). 42.9% of patients self-identified as White while 41.3% of patients self- identified as Black. Screening questions were adjusted for differences in race, insurance, and education levels to show significant differences in responses between Blacks and Whites for screening for SCD (p = 0.047, OR 95% CI = 0.455 [0.210-0.989]) and plans to meet with genetic counselors (p = 0.049, OR 95% CI = 0.299 [0.090-0.993]). The statements "if sickle cell is not in their family, then it is likely not in themselves or their children," was significantly different between Black and White populations (p = 0.011, OR 95% CI = 0.207 [0.081-0.526]). CONCLUSION: Our findings suggest gaps in screening, testing, education, and pregnancy management choices between Black and White patients. Research should focus on decreasing these healthcare gaps and improving education that address concerns about SCD for relevant populations.