Hypertonicity and/or acidosis induce marked rheological changes under hypoxic conditions in sickle trait red blood cells.

Deformability and sickling of red blood cells (RBCs) from individuals with sickle cell trait (SCT) was evaluated under harsh biophysical conditions that mimic certain vascular beds in vivo. RBC deformability in osmotic-gradient ektacytometry was decreased in HbAS (SCT) compared to HbAA (wild-type) RBCs at supraphysiological osmolalities. RBC deformability was also measured by oxygen-gradient ektacytometry. Whereas RBC sickling was not observed under isotonic and neutral pH conditions, hypertonicity and acidosis alone or in combination induced reversible sickling of SCT RBC. These data suggest that hyperosmolality and/or acidosis enhance hypoxia-induced sickling of SCT RBC.

Trends in Pediatric Emergency and Inpatient Healthcare Use for Mental and Behavioral Health Among North Carolinians During the Early COVID-19 Pandemic.

BACKGROUND: Widespread school closures and health care avoidance during the COVID-19 pandemic led to disruptions in access to pediatric mental health care. METHODS: We conducted a retrospective study of emergency and inpatient administrative claims from privately insured children aged 6-20 years in North Carolina between January 2019 and December 2020. We compared rates of emergency department (ED) visits (per 100 000 person-days) and risks of hospitalizations (per 100 000 persons) with diagnosis codes in each category (mental/behavioral health; suicidal ideation, suicide attempt, and intentional self-harm [SI/SA/ISH]; and social issues) across 3 time periods (pre-pandemic, lockdown, and reopening). We calculated the proportion and 95% confidence intervals (CI) of total ED visits and total hospitalizations attributable to mental/behavioral health and SI/SA/ISH across the 3 time periods. RESULTS: Rates of all categories of ED visits decreased from pre-pandemic to the lockdown period; from pre-pandemic to the reopening period, mental/behavioral health visits decreased but rates of SI/SA/ISH visits were unchanged. The proportion of ED visits attributable to mental/behavioral health increased from 3.5% (95% CI 3.2%-3.7%) pre-pandemic to 4.0% (95% CI 3.7%-4.3%) during reopening, and the proportion of SI/SA/ISH diagnoses increased from 1.6% (95% CI 1.4%-1.8%) pre-pandemic to 2.4% (95% CI 2.1%-2.7%) during the reopening period. Emergency care use for social issues and hospital admissions for mental/behavioral health and SI/SA/ISH diagnoses were unchanged across the study periods. CONCLUSIONS: In the early pandemic, pediatric mental health care and acute suicidal crises accounted for increased proportions of emergency care. During pandemic recovery, understanding the populations most impacted and increasing access to preventative mental health care is critical.

Separating Features From Functionality in Vaccination Apps: Computational Analysis.

BACKGROUND: Some latest estimates show that approximately 95% of Americans own a smartphone with numerous functions such as SMS text messaging, the ability to take high-resolution pictures, and mobile software apps. Mobile health apps focusing on vaccination and immunization have proliferated in the digital health information technology market. Mobile health apps have the potential to positively affect vaccination coverage. However, their general functionality, user and disease coverage, and exchange of information have not been comprehensively studied or evaluated computationally. OBJECTIVE: The primary aim of this study is to develop a computational method to explore the descriptive, usability, information exchange, and privacy features of vaccination apps, which can inform vaccination app design. Furthermore, we sought to identify potential limitations and drawbacks in the apps' design, readability, and information exchange abilities. METHODS: A comprehensive codebook was developed to conduct a content analysis on vaccination apps' descriptive, usability, information exchange, and privacy features. The search and selection process for vaccination-related apps was conducted from March to May 2019. We identified a total of 211 apps across both platforms, with iOS and Android representing 62.1% (131/211) and 37.9% (80/211) of the apps, respectively. Of the 211 apps, 119 (56.4%) were included in the final study analysis, with 42 features evaluated according to the developed codebook. The apps selected were a mix of apps used in the United States and internationally. Principal component analysis was used to reduce the dimensionality of the data. Furthermore, cluster analysis was used with unsupervised machine learning to determine patterns within the data to group the apps based on preselected features. RESULTS: The results indicated that readability and information exchange were highly correlated features based on principal component analysis. Of the 119 apps, 53 (44.5%) were iOS apps, 55 (46.2%) were for the Android operating system, and 11 (9.2%) could be found on both platforms. Cluster 1 of the k-means analysis contained 22.7% (27/119) of the apps; these were shown to have the highest percentage of features represented among the selected features. CONCLUSIONS: We conclude that our computational method was able to identify important features of vaccination apps correlating with end user experience and categorize those apps through cluster analysis. Collaborating with clinical health providers and public health officials during design and development can improve the overall functionality of the apps.