"Hate has chipped away at my sense of security": A survey study of the impacts of anti-Asian hate on the health of older Asians.

BACKGROUND: Since the beginning of the COVID-19 pandemic, older Asians have experienced a rise in racism and discrimination based on their race and ethnicity. This study examines how anti-Asian hate impacts older Asians' mental, social, and physical health. METHODS: From March 18, 2022 to January 24, 2023, we conducted a cross-sectional survey study of community-dwelling Asian/Asian American adults aged ≥50 years from the San Francisco Bay Area. Measures included perceptions of anti-Asian hate; direct encounters with hate incidents; indirect experiences with hate incidents (e.g. knowing a friend who was a victim); reports of anxiety, depression, loneliness, and changes in daily activities; ways to address these issues; and discussions with clinicians about hate incidents. RESULTS: Of the 293 older Asians, 158 (54%) were Vietnamese and 97 (33%) Chinese. Eighty-five (29%) participants were direct victims of anti-Asian hate, 112 (38%) reported anxiety, 105 (36%) reported depression, 161 (55%) reported loneliness, and 142 (48%) reported decreased daily activities. Compared with those who were "not-at-all" to "moderately" worried about hate incidents, participants who were "very" to "extremely" worried experienced heightened anxiety (42% versus 16%), loneliness (30% versus 14%), and changes in daily activities (66% versus 31%), p < 0.01 for all. Most participants (72%) felt comfortable discussing hate incidents with clinicians; however, only 31 (11%) reported that a clinician had talked with them about these incidents. CONCLUSION: Both directly and indirectly, anti-Asian hate negatively impacts older Asians' mental, social, and physical health. Clinicians have a role in addressing the health impacts of anti-Asian hate.

Anti-Asian Hate and the Health of Older Asian Individuals.

This qualitative study assesses the association of anti-Asian hate with older Asian individuals' health and the clinician's role in addressing hate incidents.

Pharmacological agents for procedural sedation and analgesia in the emergency department and intensive care unit: a systematic review and network meta-analysis of randomised trials.

BACKGROUND: We aimed to evaluate the comparative effectiveness and safety of various i.v. pharmacologic agents used for procedural sedation and analgesia (PSA) in the emergency department (ED) and ICU. We performed a systematic review and network meta-analysis to enable direct and indirect comparisons between available medications. METHODS: We searched Medline, EMBASE, Cochrane, and PubMed from inception to 2 March 2023 for RCTs comparing two or more procedural sedation and analgesia medications in all patients (adults and children >30 days of age) requiring emergent procedures in the ED or ICU. We focused on the outcomes of sedation recovery time, patient satisfaction, and adverse events (AEs). We performed frequentist random-effects model network meta-analysis and used the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach to rate certainty in estimates. RESULTS: We included 82 RCTs (8105 patients, 78 conducted in the ED and four in the ICU) of which 52 studies included adults, 23 included children, and seven included both. Compared with midazolam-opioids, recovery time was shorter with propofol (mean difference 16.3 min, 95% confidence interval [CI] 8.4-24.3 fewer minutes; high certainty), and patient satisfaction was better with ketamine-propofol (mean difference 1.5 points, 95% CI 0.3-2.6 points, high certainty). Regarding AEs, compared with midazolam-opioids, respiratory AEs were less frequent with ketamine (relative risk [RR] 0.55, 95% CI 0.32-0.96; high certainty), gastrointestinal AEs were more common with ketamine-midazolam (RR 3.08, 95% CI 1.15-8.27; high certainty), and neurological AEs were more common with ketamine-propofol (RR 3.68, 95% CI 1.08-12.53; high certainty). CONCLUSION: When considering procedural sedation and analgesia in the ED and ICU, compared with midazolam-opioids, sedation recovery time is shorter with propofol, patient satisfaction is better with ketamine-propofol, and respiratory adverse events are less common with ketamine.

DYNC2H1 hypomorphic or retina-predominant variants cause nonsyndromic retinal degeneration.

PURPOSE: Determining the role of DYNC2H1 variants in nonsyndromic inherited retinal disease (IRD). METHODS: Genome and exome sequencing were performed for five unrelated cases of IRD with no identified variant. In vitro assays were developed to validate the variants identified (fibroblast assay, induced pluripotent stem cell [iPSC] derived retinal organoids, and a dynein motility assay). RESULTS: Four novel DYNC2H1 variants (V1, g.103327020_103327021dup; V2, g.103055779A>T; V3, g.103112272C>G; V4, g.103070104A>C) and one previously reported variant (V5, g.103339363T>G) were identified. In proband 1 (V1/V2), V1 was predicted to introduce a premature termination codon (PTC), whereas V2 disrupted the exon 41 splice donor site causing incomplete skipping of exon 41. V1 and V2 impaired dynein-2 motility in vitro and perturbed IFT88 distribution within cilia. V3, homozygous in probands 2-4, is predicted to cause a PTC in a retina-predominant transcript. Analysis of retinal organoids showed that this new transcript expression increased with organoid differentiation. V4, a novel missense variant, was in trans with V5, previously associated with Jeune asphyxiating thoracic dystrophy (JATD). CONCLUSION: The DYNC2H1 variants discussed herein were either hypomorphic or affecting a retina-predominant transcript and caused nonsyndromic IRD. Dynein variants, specifically DYNC2H1 variants are reported as a cause of non syndromic IRD.

A quantitative super-resolution imaging toolbox for diagnosis of motile ciliopathies.

Airway clearance of pathogens and particulates relies on motile cilia. Impaired cilia motility can lead to reduction in lung function, lung transplant, or death in some cases. More than 50 proteins regulating cilia motility are linked to primary ciliary dyskinesia (PCD), a heterogeneous, mainly recessive genetic lung disease. Accurate PCD molecular diagnosis is essential for identifying therapeutic targets and for initiating therapies that can stabilize lung function, thereby reducing socioeconomic impact of the disease. To date, PCD diagnosis has mainly relied on nonquantitative methods that have limited sensitivity or require a priori knowledge of the genes involved. Here, we developed a quantitative super-resolution microscopy workflow: (i) to increase sensitivity and throughput, (ii) to detect structural defects in PCD patients' cells, and (iii) to quantify motility defects caused by yet to be found PCD genes. Toward these goals, we built a localization map of PCD proteins by three-dimensional structured illumination microscopy and implemented quantitative image analysis and machine learning to detect protein mislocalization, we analyzed axonemal structure by stochastic optical reconstruction microscopy, and we developed a high-throughput method for detecting motile cilia uncoordination by rotational polarity. Together, our data show that super-resolution methods are powerful tools for improving diagnosis of motile ciliopathies.

A new model of delirium care in the acute geriatric setting: geriatric monitoring unit.

BACKGROUND: Delirium is a common and serious condition, which affects many of our older hospitalised patients. It is an indicator of severe underlying illness and requires early diagnosis and prompt treatment, associated with poor survival, functional outcomes with increased risk of institutionalisation following the delirium episode in the acute care setting. We describe a new model of delirium care in the acute care setting, titled Geriatric Monitoring Unit (GMU) where the important concepts of delirium prevention and management are integrated. We hypothesize that patients with delirium admitted to the GMU would have better clinical outcomes with less need for physical and psychotropic restraints compared to usual care. METHODS/DESIGN: GMU models after the Delirium Room with adoption of core interventions from Hospital Elder Life Program and use of evening bright light therapy to consolidate circadian rhythm and improve sleep in the elderly patients. The novelty of this approach lies in the amalgamation of these interventions in a multi-faceted approach in acute delirium management. GMU development thus consists of key considerations for room design and resource planning, program specific interventions and daily core interventions. Assessments undertaken include baseline demographics, comorbidity scoring, duration and severity of delirium, cognitive, functional measures at baseline, 6 months and 12 months later. Additionally we also analysed the pre and post-GMU implementation knowledge and attitude on delirium care among staff members in the geriatric wards (nurses, doctors) and undertook satisfaction surveys for caregivers of patients treated in GMU. DISCUSSION: This study protocol describes the conceptualization and implementation of a specialized unit for delirium management. We hypothesize that such a model of care will not only result in better clinical outcomes for the elderly patient with delirium compared to usual geriatric care, but also improved staff knowledge and satisfaction. The model may then be transposed across various locations and disciplines in the acute hospital where delirious patients could be sited. TRIAL REGISTRATION: Current Controlled Trials ISRCTN52323811.

Determining nurse staffing needs: the workload intensity measurement system.

OBJECTIVE: To develop a prototype nursing workload intensity measurement system (WIMS). BACKGROUND: Current nurse staffing was determined based on a development. The predetermined nurse-to-patient ratio of a measurement system in the present work environment was deemed essential. METHODS: The study was conducted in a 1500-bed acute care hospital in Singapore. A questionnaire was designed to identify critical indicators for workload measurement. Nineteen wards were observed over a period of 1 week on day shifts. The WIMS was developed using regression modelling. RESULTS: Nursing time required for a low-acuity ward increased from 90.5 to 177.1 hours per day. The WIMS was developed using nursing diagnoses as critical indicators of workload. The model (WIMS) yield R(2) values ranging from 0.615 to 0.736 across the six key disciplines, rendering it a model with relatively good predictive ability of nursing time required. CONCLUSION: In such a rapidly changing work environment, workload measurement systems should be reviewed periodically. The WIMS was developed as a potential methodology for measuring staffing needs. IMPLICATION FOR NURSING MANAGEMENT: Workload predictions should de-link patient dependency with acuity status as both do not correlate, as evidenced by this study.