Racial Disparities in Diabetes Care and Outcomes for Patients with Visual Impairment: A Descriptive Analysis of the TriNetX Research Network.

Background: This research delves into the confluence of racial disparities and health inequities among individuals with disabilities, with a focus on those contending with both diabetes and visual impairment. Methods: Utilizing data from the TriNetX Research Network, which includes electronic medical records of roughly 115 million patients from 83 anonymous healthcare organizations, this study employs a directed acyclic graph (DAG) to pinpoint confounders and augment interpretation. We identified patients with visual impairments using ICD-10 codes, deliberately excluding diabetes-related ophthalmology complications. Our approach involved multiple race-stratified analyses, comparing co-morbidities like chronic pulmonary disease in visually impaired patients against their counterparts. We assessed healthcare access disparities by examining the frequency of annual visits, instances of two or more A1c measurements, and glomerular filtration rate (GFR) measurements. Additionally, we evaluated diabetes outcomes by comparing the risk ratio of uncontrolled diabetes (A1c > 9.0) and chronic kidney disease in patients with and without visual impairments. Results: The incidence of diabetes was substantially higher (nearly double) in individuals with visual impairments across White, Asian, and African American populations. Higher rates of chronic kidney disease were observed in visually impaired individuals, with a risk ratio of 1.79 for African American, 2.27 for White, and non-significant for the Asian group. A statistically significant difference in the risk ratio for uncontrolled diabetes was found only in the White cohort (0.843). White individuals without visual impairments were more likely to receive two A1c tests, a trend not significant in other racial groups. African Americans with visual impairments had a higher rate of glomerular filtration rate testing. However, White individuals with visual impairments were less likely to undergo GFR testing, indicating a disparity in kidney health monitoring. This pattern of disparity was not observed in the Asian cohort. Conclusions: This study uncovers pronounced disparities in diabetes incidence and management among individuals with visual impairments, particularly among White, Asian, and African American groups. Our DAG analysis illuminates the intricate interplay between SDoH, healthcare access, and frequency of crucial diabetes monitoring practices, highlighting visual impairment as both a medical and social issue.

Original Research: Predictors of COVID-19 Vaccine Hesitancy Among Asian Indians in the United States: A Cross-Sectional Descriptive Study.

BACKGROUND: Although COVID-19 is a highly infectious disease, vaccine hesitancy remains a primary barrier to attaining full population inoculation. Numerous factors related to vaccine hesitancy have been identified. The aim of this study was to explore associations between select demographic variables and COVID-19 vaccine hesitancy among Asian Indians in the United States. METHODS: The study used a cross-sectional, descriptive, correlational design. The sample consisted of 363 Asian Indians living in the United States who were 18 years of age or older and were literate in English. Vaccine hesitancy was assessed using an online survey. Both descriptive and inferential statistical analyses were conducted. Inferential tests included t tests, regression analyses, and analysis of variance (ANOVA) tests. RESULTS: As participant age increased, there was a statistically significant proportionate increase in the total vaccine hesitancy score ( P = 0.01). There were also statistically significant differences in the vaccine hesitancy scores of participants with no more than a high school degree compared to those with associate or bachelor's degrees, although this finding was based on just six participants. Although most participants had already been vaccinated, many identified reasons for feeling some degree of vaccine hesitancy. CONCLUSIONS: The reasons for vaccine hesitancy vary by individual and are often complex. The results of this study will help guide public health agencies and health care personnel in developing vaccination strategies tailored to the specific requirements of Asian Indians in the United States, which could reduce vaccine hesitancy in this population.

Recommendations to improve maternal health equity among Black women in "The South": A position paper from the SNRS minority health research interest & implementation group.

Black women in the United States experience a higher maternal mortality rate compared to other racial groups. The maternal mortality rate among non-Hispanic Black women is 3.5 times that of non-Hispanic White women and is higher in the South compared to other regions. The majority of pregnancy-related deaths in Black women are deemed to be preventable. Healthy People 2030 directs healthcare providers to advance health equity through societal efforts to address avoidable inequalities, historical and contemporary injustices, and the elimination of health and healthcare disparities. The Southern Nursing Research Society has put forward this position paper to provide recommendations to improve maternal health equity among Black women. Recommendations for nurses, multidisciplinary healthcare providers, policymakers, and researchers are discussed.

Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave.

BACKGROUND: The adverse impact of COVID-19 on marginalized and under-resourced communities of color has highlighted the need for accurate, comprehensive race and ethnicity data. However, a significant technical challenge related to integrating race and ethnicity data in large, consolidated databases is the lack of consistency in how data about race and ethnicity are collected and structured by health care organizations. OBJECTIVE: This study aims to evaluate and describe variations in how health care systems collect and report information about the race and ethnicity of their patients and to assess how well these data are integrated when aggregated into a large clinical database. METHODS: At the time of our analysis, the National COVID Cohort Collaborative (N3C) Data Enclave contained records from 6.5 million patients contributed by 56 health care institutions. We quantified the variability in the harmonized race and ethnicity data in the N3C Data Enclave by analyzing the conformance to health care standards for such data. We conducted a descriptive analysis by comparing the harmonized data available for research purposes in the database to the original source data contributed by health care institutions. To make the comparison, we tabulated the original source codes, enumerating how many patients had been reported with each encoded value and how many distinct ways each category was reported. The nonconforming data were also cross tabulated by 3 factors: patient ethnicity, the number of data partners using each code, and which data models utilized those particular encodings. For the nonconforming data, we used an inductive approach to sort the source encodings into categories. For example, values such as "Declined" were grouped with "Refused," and "Multiple Race" was grouped with "Two or more races" and "Multiracial." RESULTS: "No matching concept" was the second largest harmonized concept used by the N3C to describe the race of patients in their database. In addition, 20.7% of the race data did not conform to the standard; the largest category was data that were missing. Hispanic or Latino patients were overrepresented in the nonconforming racial data, and data from American Indian or Alaska Native patients were obscured. Although only a small proportion of the source data had not been mapped to the correct concepts (0.6%), Black or African American and Hispanic/Latino patients were overrepresented in this category. CONCLUSIONS: Differences in how race and ethnicity data are conceptualized and encoded by health care institutions can affect the quality of the data in aggregated clinical databases. The impact of data quality issues in the N3C Data Enclave was not equal across all races and ethnicities, which has the potential to introduce bias in analyses and conclusions drawn from these data. Transparency about how data have been transformed can help users make accurate analyses and inferences and eventually better guide clinical care and public policy.

A weighty issue: refeeding an adolescent patient on dialysis.

BACKGROUND: For malnourished patients with end stage renal disease (ESRD) on hemodialysis (HD), refeeding is complex; true weight (dry weight) gain must be accounted for as it accrues to safely dialyze. OBJECTIVE: This case describes the challenge of following true weight to appropriately adjust treatment for a patient with ESRD on HD requiring inpatient refeeding. METHODS: A 17-year-old female presented to an adolescent clinic after referral from her nephrologist for malnutrition and disordered eating. Her weight was 38.3 kg and height was 155.2 cm (76.2% of mean estimated body mass index, MEBMI). Her history was remarkable for a diagnosis of ESRD. The patient was admitted to the inpatient disordered eating program. The patient continued HD three times a week and was followed by nephrology. The team noted that the patient's dry weight for dialysis had not yet been adjusted, leading to increasingly aggressive dialysis. The nephrology team addressed the need for reassessments of dry weight by utilizing the "crit line" method. RESULTS: Frequent assessment allowed the nephrology team to account for intensive renourishment of the patient. After a 64 day hospital stay, the patient achieved 88.1% of MEBMI, calculated using her most up to date dry weight. CONCLUSION: Among patients with malnutrition and ESRD requiring HD, it is imperative to determine a patient's dry weight at the beginning of refeeding so the treatment plan can be adjusted according to the dynamic, true weight of the patient. This case illustrates the importance of interdisciplinary teamwork when managing a patient with malnutrition and ESRD on HD.

Regulation of renal phosphate transport by FGF23 is mediated by FGFR1 and FGFR4.

Fibroblast growth factor 23 (FGF23) is a bone-derived hormone that acts on the proximal tubule to decrease phosphate reabsorption and serum levels of 1,25-dihydroxyvitamin D3 [1,25(OH)2 Vitamin D3]. Abnormal FGF23 metabolism has been implicated in several debilitating hypophosphatemic and hyperphosphatemic disorders. The renal receptors responsible for the phosphaturic actions of FGF23 have not been elucidated. There are four fibroblast growth factor receptors (FGFR); 1-4 with "b" and "c" isoforms for receptors 1, 2, and 3. FGFR1, 3, and 4 are expressed in the mouse proximal tubule, and deletion of any one receptor did not affect serum phosphate levels, suggesting that more than one receptor is involved in mediating the phosphaturic actions of FGF23. To determine the receptors responsible for the phosphaturic actions of FGF23, we studied Fgfr1 (kidney conditional) and Fgfr4 (global) double mutant mice (Fgfr1⁻/⁻/Fgfr4⁻/⁻). Fgfr1⁻/⁻/Fgfr4⁻/⁻ mice have higher FGF23 levels than their wild-type counterparts (108.1 ± 7.3 vs. 4,953.6 ± 675.0 pg/ml; P < 0.001). Despite the elevated FGF23 levels, Fgfr1⁻/⁻/Fgfr4⁻/⁻ mice have elevated serum phosphorus levels, increased brush-border membrane vesicle (BBMV) phosphate transport, and increased Na-P(i) cotransporter 2c (NaPi-2c) protein expression compared with wild-type mice. These data are consistent with FGFR1 and FGFR4 being the critical receptors for the phosphaturic actions of FGF23.