Bone Health in Children With Risk Factors for Low Bone Mass

Purpose: To describe clinical and biological characteristics of pediatric patients with at least one risk factor (RF) for low bone mass for chronological age (LBMca)/childhood osteoporosis (cOP) and to assess its influence on bone mineral density (BMD).Methods: Patients between 2 and 20 years of age with at least 1 RF were recruited. Daily calcium intake, number of previous fractures and other RFs and their distribution among different groups were assessed. Spine and whole body DXA and vertebral morphometry were performed.Results: 103 patients were included. Mean age was 9.8 years old. 52.4% were female. Of the RFs, 84.5% presented insufficient calcium intake, 38.8% were receiving or had received corticosteroids, 31.1% were receiving other treatments with osteotoxic potential, 13.6% led a sedentary lifestyle, 12.6% presented history of fractures, and up to 8.1% had hypovitaminosis D. 38% of the cohort had 2 RFs, 31% had 3 RFs, 15% had 4 RFs, and 12% associated 5 or more RFs. 10.5% met LBMca criteria and 4.8% met cOP criteria. 73% of vertebral BMD was justified by age and hypovitaminosis D (positive effect), and male sex and Hispanic ethnicity (negative effect). 82% of total body less head BMD was justified by age (positive effect), and Hispanic ethnicity and sedentary lifestyle (negative effect).Conclusions: Pediatric populations with risk of LBM/cOP have 2 or more risk factors. Up to 10.5% of children with RFs present LBM and 4.8% have an unknown cOP. RFs related to changes in BMD are age, sex, sedentary lifestyle, ethnicity, and hypovitaminosis D.

Association between race and in-hospital outcomes in children with spina bifida following inpatient urologic surgery

PURPOSE: Post-operative complication rates may vary among racial and/or ethnic groups and have not been previously described in individuals with spina bifida (SB) undergoing urologic surgery. The aim of this study was to compare in-hospital complication frequencies of individuals with SB following urologic surgery by race/ethnicity. METHODS: The Nationwide Inpatient Sample was used to identify pediatric patients with SB who underwent inpatient urologic procedures. A pediatric cohort (<18 years old) with SB that underwent urologic surgery were assessed. All analyses report weighted descriptive statistics, outcomes, and race/ethnicity was the primary predictor variable. The primary outcome of interest was post-operative complications which were defined using NSQIP ICD-9 code definitions. Secondary analysis included length of stay (LOS), and encounter cost was estimated using the cost-to-charge ratio files provided by the Healthcare Cost and Utilization Project. RESULTS: The unadjusted model showed no differences in complications, LOS, and cost. In the adjusted model there were no differences in complications, LOS, and cost between Black and White encounters. However, Hispanic ethnicity was associated with a 20%(95%CI: 4–40%) increase in LOS and 18%(95%CI: 2–35%, p = 0.02) increase in cost compared to White encounters. CONCLUSION: There was no evidence of variation for in-hospital complication rates among racial/ethnic groups undergoing urologic surgery. Hispanic ethnicity was associated with higher costs and longer LOS in pediatric SB encounters.

Metabolic Syndrome and Neurocognitive Function among older Hispanics/Latinos with HIV

Neurocognitive impairment is prevalent among persons with HIV (PWH), particularly among Hispanics/Latinos/as/x (henceforth Hispanics). We examined disparities in HIV-associated neurocognitive function between older Hispanic and non-Hispanic White PWH, and the potential role of metabolic syndrome (MetS) in explaining these disparities. Participants included 116 community-dwelling PWH ages 50-75, who were enrolled in a cohort study in southern California (58 Hispanic [53% Spanish-speaking] and 58 age-comparable non-Hispanic White; Overall group: Age: M=57.9, SD=5.7; Education: M=13, SD=3.4; 83% male, 58% AIDS, 94% on antiretroviral therapy [ART], 4% detectable plasma RNA). A global neurocognition score was derived from T-Scores on a comprehensive neurocognitive battery, with separate demographic adjustments for English and Spanish-speakers. MetS was ascertained via standard criteria that considered central obesity, elevated triglycerides, low high-density lipoprotein cholesterol, and elevated fasting glucose, as well as current medical treatment for these conditions. Covariates examined included sociodemographic, psychiatric, substance use and HIV-disease characteristics. Hispanics had higher rates of MetS (56%) than non-Hispanic Whites (37%; p&lt;.05). A stepwise regression model on global neurocognition including ethnicity and covariates that differed between ethnic groups, selected only Hispanic ethnicity as a significant predictor (B=-3.82, SE=1.27, p&lt;.01). A comparable model also including MetS showed that both Hispanic ethnicity (B=-3.39, SE=1.31, p=.01) and MetS (B=-2.73, SE=1.31, p=.04), were significantly associated with worse global neurocognition. Findings indicate that MetS does not fully explain disparities in neurocognitive function between Hispanic and non-Hispanic White older PWH, but rather is an independent predictor of neurocognitive function along with Hispanic ethnicity.

Incidence and risk factors for mucormycosis in renal transplant patients

BackgroundRenal transplant patients are at increased risk for mucormycosis. Diabetes, neutropenia, deferoxamine therapy, and immunosuppressive medications have been associated with increased risk of mucormycosis in studies of solid organ transplant recipients. To focus on renal transplant patients, the US Renal Data System (USRDS) was queried to determine the incidence and risk factors for mucormycosis.MethodsAll renal transplant patients in the USRDS from 1988 to 2015 were queried for a diagnosis of mucormycosis after the first transplant date using ICD-9 and ICD-10 codes. The International Classification of Diseases (ICD) codes, which currently exist in the ninth and tenth revisions, are a global system of classification used to code diagnoses, procedures, and symptoms. We defined proven mucormycosis by a histopathologic or fungal stain procedure code within 7 days of the diagnosis code. Logistic regression controlling for person-years at risk was used to examine demographic and clinical diagnosis risk factors for mucormycosis.ResultsOf the 306,482 renal transplant patients, 222 (0.07%) had codes consistent with proven mucormycosis. The incidence of mucormycosis increased from 1990 to 2000 (peak 17.6 per 100,000 person-years) and subsequently demonstrated more variability. Hispanic ethnicity (OR=1.45), age 65 years or greater (OR=1.64), other or black race compared with white race (OR=1.96 and 1.74), cadaver or other donor type (OR=2.41), and receiving tacrolimus (OR=2.09) were associated with increased risk. Comorbidities associated with decreased risk of mucormycosis included female sex (OR=0.68), iron overload (OR=0.56), and receiving mycophenolate mofetil (OR=0.67) or azathioprine (OR=0.53).ConclusionsIn renal transplant patients, age, deceased donor graft transplant, tacrolimus administration, race other than white, and Hispanic ethnicity were associated with increased risk of mucormycosis. Unexpectedly, iron overload was protective. Mucormycosis is a rare infection in renal transplant patients which should be considered in patients with the above risk factors after more common infections have been ruled out.

Correlates of Insulin Selection as a First-Line Pharmacological Treatment for Gestational Diabetes

Objective The aim of this study was to investigate prenatal factors associated with insulin prescription as a first-line pharmacotherapy for gestational diabetes mellitus (GDM; compared with oral antidiabetic medication) after failed medical nutrition therapy. Methods This is a retrospective cohort study of 437 women with a singleton pregnancy and diagnosis of A2GDM (GDM requiring pharmacotherapy), delivering in a university hospital between 2015 and 2019. Maternal sociodemographic and clinical characteristics, as well as GDM-related factors, including provider type that manages GDM, were compared between women who received insulin versus oral antidiabetic medication (metformin or glyburide) as the first-line pharmacotherapy using univariable and multivariable analyses. Results In univariable analysis, maternal age, race and ethnicity, insurance, chronic hypertension, gestational age at GDM diagnosis, glucose level after 50-g glucose loading test, and provider type were associated with insulin prescription. In multivariable analysis, after adjusting for sociodemographic and clinical maternal factors, GDM characteristics and provider type, Hispanic ethnicity (0.26, 95% confidence interval [CI]: 0.09–0.73), and lack of insurance (0.34, 95% CI: 0.13–0.89) remained associated with lower odds of insulin prescription, whereas endocrinology management of GDM (compared with obstetrics and gynecology [OBGYN]) (8.07, 95% CI: 3.27–19.90) remained associated with higher odds of insulin prescription. Conclusion Women of Hispanic ethnicity and women with no insurance were less likely to receive insulin and more likely to receive oral antidiabetic medication for GDM pharmacotherapy, while management by endocrinology was associated with higher odds of insulin prescription.This finding deserves more investigation to understand if differences are due to patient choice or a health disparity in the choice of pharmacologic agent for A2GDM. Key Points

482. SARS-CoV-2 Prevalence in Feces of Very Young Children, A Longitudinal Study

Background Understanding the disease burden of SARS- CoV-2 in young children has been challenging as the majority are asymptomatic or experience mild symptoms and were rarely tested. SARS-CoV-2 is traditionally detected through respiratory secretions but has also been reported in feces where shedding may continue for weeks after respiratory samples show resolution. We examined the prevalence of SARS-CoV-2 in already collected fecal samples from young children through the pandemic as well as associated demographic factors. Methods As part of an ongoing longitudinal microbiome study in Northern Virginia, serial stools samples were collected from infants before and throughout the Covid-19 pandemic. Reverse transcription quantitative-PCR detecting SARS-CoV-2 nucleocapsid gene in the N1 and N2 regions was performed. Penalized logistic regression models were developed to evaluate the association between fecal positivity and potential risk factors. Results The overall prevalence of SARS-CoV-2 in infant feces was 1.69 % (13 samples) with a prevalence at delivery, 2, 6, 12 and 24 months of 0, 0, 2.56, 1.96, and 0.85 % respectively. Fecal positivity was first detected 31 days before the reported first case of Covid-19 in Northern Virginia; prevalence rates peaked in September at 4.5% (Figure 1). Only one infant who tested positive was symptomatic with COVID-19 21 days before his stool was collected. Of the 13 positive samples, 8 reported Hispanic ethnicity and 7 reported an essential worker (Table 1). Penalized logistic regression model showed association between Hispanic ethnicity and testing positive (OR 5.04 (95% CI 1.7 – 15.0)) that remained after controlling for the presences of an essential worker (OR 4.7 (95% CI 1.6 – 14.0)). Conclusion Prevalence of SARS- CoV-2 in infant stool correlated with the prevalence of COVID-19 during the pandemic, with higher rates in those of Hispanic ethnicity corelating with regional trends. Fecal positivity in asymptomatic infants even before quarantine restrictions supports the early but silent transmission of SARS-CoV-2. This study likely underestimates true prevalence rates as stool samples were stored without viral preservative. There are many socioeconomic factors that predispose to disease while ethnicity may be a mediating or confounding factor Disclosures All Authors: No reported disclosures

Identifying opportunities to improve equity in breast cancer care for uninsured Hispanic patients in underserved communities.

132 Background: Enhancing equitable oncologic care is an increasingly emphasized priority. Our study aims to identify aspects of breast cancer (BC) care in which differences exist based on insurance coverage. Methods: We performed a retrospective, case control study, (from 2014-2020); 39 Hispanic ethnicity uninsured patients (UP) from underserved communities with newly diagnosed BC and 119 insured patients (IP) diagnosed at Mayo Clinic Arizona (MCA). Patients were matched 3:1 for age, stage, year of diagnosis, estrogen receptors and HER-2 status. Demographic information, clinical variables, and zip code level specific socioeconomic information were compared. Continuous variables were compared by Wilcoxon rank-sum test and categorical variables by chi-square test. All patients were treated at MCA. Results: Similar treatment patterns with radiotherapy, chemotherapy and surgery were observed between groups. Primary language was Spanish for 94% of UP and English for 97.5% of IP. The majority of UP were of Hispanic ethnicity (97.4%); IP were 83.2% non-Hispanic White, 9.2% Hispanic, 3.4% African American. Zip code level information reflected more unemployment with a median of 10.6% versus 6.9% p < 0.001, percent of high school or lower (53.0 % v 23.2 %, p < 0.001), and lower income for UP (33733.5 v 64728.0 p values < 0.001).BMI was significantly higher for UP (30.6 V 24.7, p = 0.005), with presence of more co-morbidities; diabetes (28.2% v 5.0%, p < 0.001), hypertension (35.9 % v 20.2%, p = 0.046), dyslipidemia (28.2% v 12.6%, p = 0.023), metabolic syndrome (p 23.7% v 8.5, p = 0.013), and tobacco use (17.9% v 2.5%, p < 0.001). Genetics consultation was performed for 62.2% IP versus 35.9% UP (p = 0.004), lower acceptance of nutrition consultation for UP (29.4% vs 7.4%, p = 0.024). Median time from mammogram to biopsy (25.5 days vs. 14 days, p = 0.056), and interval from diagnosis to treatment (62 days vs. 39 days) (p = 0.001) were less favorable for UP compared to IP. Conclusions: In comparing the status of UP and IP with newly diagnosed BC, we identified greater prevalence of co-morbidities and adverse social determinants of health in the former group. We identified access to genetic counseling, nutrition consultation, and timeliness of diagnostic biopsy and initiation of treatment as disparate features in the care pathway. These observations allowed development of tailored interventions to achieve greater equity in delivery of BC care at Mayo Clinic.

The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study

Background The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. Methods Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital laboratory beginning March 12, 2020. We obtained sociodemographic and clinical data 5 (+/-3) and 30 days after diagnosis via phone follow-up and medical record review. Logistic regression was used to assess predictors of hospitalization. Results The first 1000 symptomatic pediatric patients were diagnosed in our institution between March 13, 2020 and September 28, 2020. Cough (52 %), headache (43 %), and sore throat (36 %) were the most common symptoms. Forty-one (4 %) were hospitalized; 8 required ICU admission, and 2 required mechanical ventilation (< 1 %). One patient developed multisystem inflammatory syndrome in children; one death was possibly associated with SARS-CoV-2 infection. Symptom resolution occurred by follow-up day 5 in 398/892 (45 %) patients and by day 30 in 443/471 (94 %) patients. Pre-existing medical condition (OR 7.7; 95 % CI 3.9–16.0), dyspnea (OR 6.8; 95 % CI 3.2–14.1), Black race or Hispanic ethnicity (OR 2.7; 95 % CI 1.3–5.5), and vomiting (OR 5.4; 95 % CI 1.2–20.6) were the strongest predictors of hospitalization. The model displayed excellent discriminative ability (AUC = 0.82, 95 % CI 0.76–0.88, Brier score = 0.03). Conclusions In 1000 pediatric patients with systematic follow-up, most SARS-CoV-2 infections were mild, brief, and rarely required hospitalization. Pediatric predictors of hospitalization included comorbid conditions, Black race, Hispanic ethnicity, dyspnea and vomiting and were distinct from those reported among adults.