Preventive Service Usage and New Chronic Disease Diagnoses: Using PCORnet Data to Identify Emerging Trends, United States, 2018-2022.

Background: Data modernization efforts to strengthen surveillance capacity could help assess trends in use of preventive services and diagnoses of new chronic disease during the COVID-19 pandemic, which broadly disrupted health care access. Methods: This cross-sectional study examined electronic health record data from US adults aged 21 to 79 years in a large national research network (PCORnet), to describe use of 8 preventive health services (N = 30,783,825 patients) and new diagnoses of 9 chronic diseases (N = 31,588,222 patients) during 2018 through 2022. Joinpoint regression assessed significant trends, and health debt was calculated comparing 2020 through 2022 volume to prepandemic (2018 and 2019) levels. Results: From 2018 to 2022, use of some preventive services increased (hemoglobin A1c and lung computed tomography, both P < .05), others remained consistent (lipid testing, wellness visits, mammograms, Papanicolaou tests or human papillomavirus tests, stool-based screening), and colonoscopies or sigmoidoscopies declined (P < .01). Annual new chronic disease diagnoses were mostly stable (6% hypertension; 4% to 5% cholesterol; 4% diabetes; 1% colonic adenoma; 0.1% colorectal cancer; among women, 0.5% breast cancer), although some declined (lung cancer, cervical intraepithelial neoplasia or carcinoma in situ, cervical cancer, all P < .05). The pandemic resulted in health debt, because use of most preventive services and new diagnoses of chronic disease were less than expected during 2020; these partially rebounded in subsequent years. Colorectal screening and colonic adenoma detection by age group aligned with screening recommendation age changes during this period. Conclusion: Among over 30 million patients receiving care during 2018 through 2022, use of preventive services and new diagnoses of chronic disease declined in 2020 and then rebounded, with some remaining health debt. These data highlight opportunities to augment traditional surveillance with EHR-based data.

Factors Impacting Survival in Those Transplanted for NASH Cirrhosis: Data From the NailNASH Consortium.

BACKGROUND & AIMS: Nonalcoholic steatohepatitis (NASH) is the leading indication for liver transplant (LT) in women and the elderly. Granular details into factors impacting survival in this population are needed to optimize management and improve outcomes. METHODS: Patients receiving LT for NASH cirrhosis from 1997 to 2017 across 7 transplant centers (NailNASH consortium) were analyzed. The primary outcome was all-cause mortality, and causes of death were enumerated. All outcomes were cross referenced with United Network for Organ Sharing and adjudicated at each individual center. Cox regression models were constructed to elucidate clinical factors impacting mortality. RESULTS: Nine hundred thirty-eight patients with a median follow-up of 3.8 years (interquartile range, 1.60-7.05 years) were included. The 1-, 3-, 5-, 10-, and 15-year survival of the cohort was 93%, 88%, 83%, 69%, and 46%, respectively. Of 195 deaths in the cohort, the most common causes were infection (19%), cardiovascular disease (18%), cancer (17%), and liver-related (11%). Inferior survival was noted in patients >65 years. On multivariable analysis, age >65 (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.04-2.77; P = .04), end-stage renal disease (HR, 1.55; 95% CI, 1.04-2.31; P = .03), black race (HR, 5.25; 95% CI, 2.12-12.96; P = .0003), and non-calcineurin inhibitors-based regimens (HR, 2.05; 95% CI, 1.19-3.51; P = .009) were associated with increased mortality. Statin use after LT favorably impacted survival (HR, 0.38; 95% CI, 0.19-0.75; P = .005). CONCLUSIONS: Despite excellent long-term survival, patients transplanted for NASH at >65 years or with type 2 diabetes mellitus at transplant had higher mortality. Statin use after transplant attenuated risk and was associated with improved survival across all subgroups, suggesting that careful patient selection and implementation of protocol-based management of metabolic comorbidities may further improve clinical outcomes.

The Childhood Obesity Data Initiative: A Case Study in Implementing Clinical-Community Infrastructure Enhancements to Support Health Services Research and Public Health.

CONTEXT: We describe a participatory framework that enhanced and implemented innovative changes to an existing distributed health data network (DHDN) infrastructure to support linkage across sectors and systems. Our processes and lessons learned provide a potential framework for other multidisciplinary infrastructure development projects that engage in a participatory decision-making process. PROGRAM: The Childhood Obesity Data Initiative (CODI) provides a potential framework for local and national stakeholders with public health, clinical, health services research, community intervention, and information technology expertise to collaboratively develop a DHDN infrastructure that enhances data capacity for patient-centered outcomes research and public health surveillance. CODI utilizes a participatory approach to guide decision making among clinical and community partners. IMPLEMENTATION: CODI's multidisciplinary group of public health and clinical scientists and information technology experts collectively defined key components of CODI's infrastructure and selected and enhanced existing tools and data models. We conducted a pilot implementation with 3 health care systems and 2 community partners in the greater Denver Metro Area during 2018-2020. EVALUATION: We developed an evaluation plan based primarily on the Good Evaluation Practice in Health Informatics guideline. An independent third party implemented the evaluation plan for the CODI development phase by conducting interviews to identify lessons learned from the participatory decision-making processes. DISCUSSION: We demonstrate the feasibility of rapid innovation based upon an iterative and collaborative process and existing infrastructure. Collaborative engagement of stakeholders early and iteratively was critical to ensure a common understanding of the research and project objectives, current state of technological capacity, intended use, and the desired future state of CODI architecture. Integration of community partners' data with clinical data may require the use of a trusted third party's infrastructure. Lessons learned from our process may help others develop or improve similar DHDNs.

Cognitive performance as a predictor of healthcare transition in sickle cell disease.

Neurocognitive deficits in sickle cell disease (SCD) may impair adult care engagement. We investigated the relationship between neurocognitive functioning and socio-environmental factors with healthcare transition outcomes. Adolescents aged 15-18 years who had neurocognitive testing and completed a visit with an adult provider were included. Transition outcomes included transfer interval from paediatric to adult care and retention in adult care at 12 and 24 months. Eighty adolescents (59% male, 64% HbSS/HbSß0 -thalassaemia) were included. Mean age at adult care transfer was 18·0 (±0·3) years and transfer interval was 2·0 (±2·3) months. Higher IQ (P = 0·02; PFDR  = 0·05) and higher verbal comprehension (P = 0·008; PFDR  = 0·024) were associated with <2 and <6 month transfer intervals respectively. Better performance on measures of attention was associated with higher adult care retention at 12 and 24 months (P = 0·009; PFDR  = 0·05 and P = 0·04; PFDR  = 0·12 respectively). Transfer intervals <6 months were associated with smaller households (P = 0·02; PFDR  = 0·06) and households with fewer children (P = 0·02; PFDR  = 0·06). Having a working parent was associated with less retention in adult care at 12 and 24 months (P = 0·01; P = 0·02 respectively). Lower IQ, verbal comprehension, attention difficulties and environmental factors may negatively impact transition outcomes. Neurocognitive function should be considered in transition planning for youth with SCD.

Transplantation of Kidneys From Hepatitis C Virus-Infected Donors to Hepatitis C Virus-Negative Recipients: One-Year Kidney Allograft Outcomes.

RATIONALE & OBJECTIVE: Transplant centers in the United States are increasingly willing to transplant kidneys from hepatitis C virus (HCV)-infected (HCV+) donors into HCV- recipients. We studied the association between donor HCV infection status and kidney allograft function and posttransplantation allograft biopsy findings. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: We examined 65 HCV- recipients who received a kidney from a HCV+ donor and 59 HCV- recipients who received a kidney from a HCV- donor during 2018 at a single transplant center. EXPOSURE: Predictor(s) of donor infection with HCV. OUTCOMES: Kidney allograft function and allograft biopsy findings during the first year following transplantation. ANALYTICAL APPROACH: We compared estimated glomerular filtration rate (eGFR), findings on for-cause and surveillance protocol biopsies, development of de novo donor-specific antibodies (DSAs), and patient and allograft outcomes during the first year following transplantation between recipients of HCV+ and HCV- kidneys. We used linear regression to estimate the independent association between allograft function and HCV viremic status of the kidney donor. RESULTS: The mean age of recipients was 52 ± 11 (SD) years, 43% were female, 19% and 80% of recipients were White and Black, respectively. Baseline characteristics were similar between the HCV+ and HCV- groups. There were no statistically significant differences between the HCV+ and HCV- groups in delayed graft function rates (12% vs 8%, respectively); eGFRs at 3, 6, 9, and 12 months post-transplantation; proportions of patients with cellular rejection (6% vs 7%, respectively); and proportions with antibody-mediated rejection (7% vs 10%, respectively) or de novo DSAs (31% vs 20%, respectively). HCV viremic status was not associated with eGFR at 3, 6, 9, or 12 months. LIMITATIONS: Generalizability from a single-center study and small sample size was limited. CONCLUSIONS: Recipients of kidneys from donors infected with HCV had similar kidney allograft function and probability of rejection in the first year after transplantation compared to those who received kidneys from donors without HCV infection.

Association between post-transplant donor-specific antibodies and recipient outcomes in simultaneous liver-kidney transplant recipients: single-center, cohort study.

There is a dearth of published data regarding the presence of post-transplant donor-specific antibodies (DSA), especially C1q-binding DSA (C1q+DSA), and patient and kidney allograft outcomes in simultaneous liver-kidney transplant (SLKT) recipients. We conducted a retrospective cohort study consisted of 85 consecutive SLKT patients between 2009 and 2018 in our center. Associations between presence of post-transplant DSA, including persistent and/or newly developed DSA and C1q+DSA, and all-cause mortality and the composite outcome of mortality, allograft kidney loss, and antibody-mediated rejection were examined using unadjusted and age and sex-adjusted Cox proportional hazards and time-dependent regression models. The mean age at SLKT was 56 years and 60% of the patients were male. Twelve patients (14%) had post-transplant DSA and seven patients (8%) had C1q+DSA. The presence of post-transplant DSA was significantly associated with increased risk of mortality (unadjusted model: Hazard Ratio (HR) = 2.72, 95% confidence interval (CI): 1.06-6.98 and adjusted model: HR = 3.20, 95% CI: 1.11-9.22) and the composite outcome (unadjusted model: HR = 3.18, 95% CI: 1.31-7.68 and adjusted model: HR = 3.93, 95% CI: 1.39-11.10). There was also higher risk for outcomes in recipients with C1q+DSA compared the ones without C1q+DSA. Post-transplant DSA is significantly associated with worse patient and kidney allograft outcomes in SLKT. Further prospective and large cohort studies are warranted to better assess these associations.

Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study.

BACKGROUND: Sickle cell disease (SCD) is a genetic disorder of the red blood cells, resulting in multiple acute and chronic complications, including pain episodes, stroke, and kidney disease. Patients with SCD develop chronic organ dysfunction, which may progress to organ failure during disease exacerbations. Early detection of acute physiological deterioration leading to organ failure is not always attainable. Machine learning techniques that allow for prediction of organ failure may enable early identification and treatment and potentially reduce mortality. OBJECTIVE: The aim of this study was to test the hypothesis that machine learning physiomarkers can predict the development of organ dysfunction in a sample of adult patients with SCD admitted to intensive care units (ICUs). METHODS: We applied diverse machine learning methods, statistical methods, and data visualization techniques to develop classification models to distinguish SCD from controls. RESULTS: We studied 63 sequential SCD patients admitted to ICUs with 163 patient encounters (mean age 30.7 years, SD 9.8 years). A subset of these patient encounters, 22.7% (37/163), met the sequential organ failure assessment criteria. The other 126 SCD patient encounters served as controls. A set of signal processing features (such as fast Fourier transform, energy, and continuous wavelet transform) derived from heart rate, blood pressure, and respiratory rate was identified to distinguish patients with SCD who developed acute physiological deterioration leading to organ failure from patients with SCD who did not meet the criteria. A multilayer perceptron model accurately predicted organ failure up to 6 hours before onset, with an average sensitivity and specificity of 96% and 98%, respectively. CONCLUSIONS: This retrospective study demonstrated the viability of using machine learning to predict acute organ failure among hospitalized adults with SCD. The discovery of salient physiomarkers through machine learning techniques has the potential to further accelerate the development and implementation of innovative care delivery protocols and strategies for medically vulnerable patients.

Factors associated with hepatitis C antibody seroconversion after transplantation of kidneys from hepatitis C infected donors to hepatitis C naïve recipients.

BACKGROUND: We aimed to assess the probability and factors associated with the presence of hepatitis C virus (HCV) antibody among HCV seronegative kidney transplant recipients receiving HCV-infected (nucleic acid testing positive) donor kidneys. METHODS: This is a retrospective review examining HCV antibody seroconversion of all kidney transplant recipients receiving an organ from an HCV-infected donor between 1 March 2018 and 2 December 2019 at a high-volume kidney transplant center in the southeast United States. RESULTS: Of 97 patients receiving HCV-infected kidneys, the final cohort consisted of 85 recipients with 5 (5.9%) recipients noted to have HCV antibody seroconversion in the setting of HCV viremia. The HCV RNA level at closest time of antibody measurement was higher in the seroconverted patients versus the ones who never converted [median and (interquartile range): 1,091,500 (345,000-8,360,000) vs 71,500 (73-313,000), p = 0.02]. No other significant differences including type of immunosuppression were noted between the HCV antibody positive group and HCV antibody negative group. Donor donation after cardiac death status [Odds Ratio (OR) and 95% Confidence Interval (CI) was: 8.22 (1.14-59.14)], donor age [OR (95% CI) (+5 years) was: 3.19 (1.39-7.29)] and Kidney Donor Profile Index [OR (95% CI) (+1) was:1.07 (1.01-1.15)] showed a statistically significant association with HCV seroconversion. CONCLUSIONS: HCV antibody should not be considered routine screening for presence of infection in previously HCV naïve kidney transplant recipients receiving kidneys from HCV-infected donors, as only a modest percentage have antibody despite active viremia. The assessment of HCV viral load should be routine in all transplant recipients receiving organs from public health service increased risk donors.

Association between longer hospitalization and development of de novo donor specific antibodies in simultaneous liver-kidney transplant recipients.

Background: De novo Donor Specific Antibodies (DSA) are considered as a risk factor for the kidney allograft outcomes in recipients after simultaneous liver-kidney transplantation (SLKT). We hypothesized that length of hospital stay (LOS) might be associated with de novo DSA development of due to the increased likelihood of receiving blood transfusions with reduced immunosuppressive regimens.Methods: This study is a single-center, retrospective cohort study consisting of 85 recipients who underwent SLKT from 2009 to 2018 in our hospital. We divided the patients into two groups according to LOS [long hospital stay (L) group (LOS >14 days) and short hospital stay (S) group (LOS ≤14 days)]. Propensity score (PS) has been created using logistic regression to predict LOS greater than median of 14 days. The association between the presence of de novo DSA and LOS was assessed by logistic regression models adjusted for PS.Results: The mean age at transplantation of the entire cohort was 55.5 ± 10.1 years. Sixty percent of the recipients were male and Caucasian. Median LOS in (L) group was three-fold longer than (S) group [L: median 30 days (IQR: 21-52), S: median 8.5 days (IQR: 7-11)]. Eight patients developed de novo DSA after SLKT (9.4%), all of them were in (L) group. Longer LOS was significantly associated with higher risk of development of de novo DSA in unadjusted (OR+ each 5 days: 1.09, 95% CI:1.02-1.16) and PS adjusted (OR+ each 5 days: 1.11, 95% CI:1.02-1.21) analysis.Conclusion: Longer hospitalization is significantly associated with the development of de novo DSA in SLKT.

Transplantation of kidneys from hepatitis C-infected donors to hepatitis C-negative recipients: Single center experience.

Our aim was to evaluate the safety of transplanting kidneys from HCV-infected donors in HCV-uninfected recipients. Data collected from 53 recipients in a single center, observational study included donor and recipient characteristics, liver and kidney graft function, new infections and de novo donor-specific antibodies and renal histology. Treatment with a direct-acting antiviral regimen was initiated when HCV RNA was detected. The mean ± SD age of recipients was 53 ± 11 years, 34% were female, 19% and 79% of recipients were white and African American, respectively. The median and interquartile range (IQR) time between transplant and treatment initiation was 76 (IQR: 68-88) days. All 53 recipients became viremic (genotype: 1a [N = 34], 1b [N = 1], 2 [N = 3], and 3 [N = 15]). The majority (81%) of recipients did not experience clinically significant increases (>3 times higher than upper limit of the normal value) in aminotransferase levels and their HCV RNA levels were in the 5 to 6 log range. One patient developed fibrosing cholestatic hepatitis with complete resolution. All recipients completed antiviral treatment and 100% were HCV RNA-negative and achieved 12-week sustained virologic response. The estimated GFRs at end of treatment and 12-week posttreatment were 67 ± 21 mL/min/1.73 m2 and 67 ± 17 mL/min/1.73 m2 , respectively. Four recipients developed acute rejection. Kidney transplantation from HCV-infected donors to HCV-negative recipients should be considered in all eligible patients.

Effects of childhood exposure to PM2.5 in a Memphis pediatric asthma cohort.

The effects of childhood exposure to ambient air pollution and their influences on healthcare utilization and respiratory outcomes in Memphis pediatric asthma cohort are still unknown. This study seeks to (1) investigate individual-level associations between asthma and exposure measures in high asthma rate and low asthma rate areas and (2) determine factors that influence asthma at first year of a child's life, first 2 years, first 5 years, and during their childhood. Datasets include physician-diagnosed asthma patients, on-road and individual PM2.5 emissions, and high-resolution spatiotemporal PM2.5 estimates. Spatial analytical and logistic regression models were used to analyze the effects of childhood exposure on outcomes. Increased risk was associated with African American (AA) (odds ratio (OR) = 3.09, 95% confidence interval (CI) 2.80-3.41), aged < 5 years old (OR = 1.31, 95% 1.17-1.47), public insurance (OR = 2.80, 95% CI 2.60-3.01), a 2.5-km radius from on-road emission sources (OR = 3.06, 95% CI 2.84-3.30), and a 400-m radius from individual PM2.5 sources (OR = 1.33, 95% CI 1.25-1.41) among the cohort with residence in high asthma rate areas compared to low asthma rates areas. A significant interaction was observed between race and insurance with the odds of AA being approximately five times (OR = 4.68, 95% CI 2.23-9.85), public insurance being about three times (OR = 2.65, 95% CI 1.68-4.17), and children in their first 5 years of life have more hospital visits than other age groups. Findings from this study can guide efforts to minimize emissions, manage risk, and design interventions to reduce disease burden.

Spatiotemporal patterns of childhood asthma hospitalization and utilization in Memphis Metropolitan Area from 2005 to 2015.

OBJECTIVE: To identify the key risk factors and explain the spatiotemporal patterns of childhood asthma in the Memphis metropolitan area (MMA) over an 11-year period (2005-2015). We hypothesize that in the MMA region this burden is more prevalent among urban children living south, downtown, and north of Memphis than in other areas. METHODS: We used a large-scale longitudinal electronic health record database from an integrated healthcare system, Geographic information systems (GIS), and statistical and space-time models to study the spatiotemporal distributions of childhood asthma at census tract level. RESULTS: We found statistically significant spatiotemporal clusters of childhood asthma in the south, west, and north of Memphis city after adjusting for key covariates. The results further show a significant increase in temporal gradient in frequency of emergency department (ED) visits and inpatient hospitalizations from 2009 to 2013, and an upward trajectory from 4 per 1,000 children in 2005 to 16 per 1,000 children in 2015. The multivariate logistic regression identified age, race, insurance, admit source, encounter type, and frequency of visits as significant risk factors for childhood asthma (p < 0.05). We observed a greater asthma burden and healthcare utilization for African American (AA) patients living in a high-risk area than those living in a low-risk area in comparison to the white patients: AA vs. white [odds ratio (OR) = 3.03, 95% confidence interval (CI): 2.75-3.34]; and Hispanic vs. white (OR = 1.62, 95% CI: 1.21-2.17). CONCLUSIONS: These findings provide a strong basis for developing geographically tailored population health strategies at the neighborhood level for young children with chronic respiratory conditions.

Characteristics of Hospital and Emergency Care Super-utilizers with Multiple Chronic Conditions.

BACKGROUND: Targeted care transitions programs may improve the value of hospital-based health care. Super-utilizing patients with multiple chronic conditions (MCC) are thought to be particularly amenable to care transitions interventions. OBJECTIVES: To identify characteristics, future utilization patterns, and health outcomes for super-utilizers with MCC. METHODS: Retrospective cohort study of patients receiving care in an urban multi-hospital system in Tennessee over 3 years. Adult patients with Medicaid or Medicare insurance, or both, MCC, and multiple hospitalizations and emergency department (ED) visits in a 6-month period were included. The primary outcome measures were numbers of hospitalizations and ED visits in the 12 months after the 6-month period of high utilization. Secondary outcomes included 30-day readmissions and discharge disposition. RESULTS: Of 1537 super-utilizing patients, 59.0% (n = 907) had at least two targeted chronic conditions. This final study cohort (n = 638) experienced a mean of 3.2 hospitalizations and 2.8 ED visits without hospitalization in the 12-month follow-up period. During follow-up, 26% experienced one or more 30-day readmission(s) within the health care system. Despite their medical complexity, 46% reported not having a regular primary care provider, and 48% had presenting pain scores ≥8/10. Only 1% of the visits to the ED were triaged as nonurgent. CONCLUSIONS: Medicare and Medicaid patients with high baseline utilization and MCC experience continued high health care utilization. Patient characteristics, future utilization patterns, and health outcomes suggest the subgroup identified is an important subgroup of super-utilizers that merits attention because they may be particularly amenable to intervention.

Creating a culture of safety in the emergency department: the value of teamwork training.

OBJECTIVE: The purpose of this study was to determine if teamwork training improved employees' perception of the culture of safety in the emergency department. BACKGROUND: Communication failure is frequently the root cause of medication errors, delays in treatment, and wrong-site surgery, leading to an estimated 200 000 deaths annually in the United States. METHODS: Independent sample comparison study with a quantitative design was conducted with staff who received teamwork training. Posttraining perceptions were measured using the Agency for Healthcare Research and Quality's patient safety culture survey. RESULTS: The average score for the 12 domains increased by 9% in positive responses after training. One domain (nonpunitive response to error) had a decrease in the percentage positive score. CONCLUSION: Training on teamwork skills can lead to a positive improvement of staff perception related to a culture of safety among emergency department staff.

African Americans have a distinct clinical and histologic profile with lower prevalence of NASH and advanced fibrosis relative to Caucasians.

BACKGROUND AND AIMS: Racial/ethnic disparities have been reported in the prevalence of nonalcoholic fatty liver disease (NAFLD). Thus, we aimed to understand the inter-ethnic clinical, biochemical, and histological differences in a large cohort of Caucasians and African-Americans (AA). METHODS: Laboratory and liver biopsy data of 942 NAFLD patients were retrospectively analyzed. Nine hundred seven patients were included in the analysis: 677 (74.6%) Caucasians and 230 (25.3%) AA. RESULTS: AA had higher mean BMI compared to Caucasians (42.6 ± 9.5 vs. 39 ± 8.6 kg/m2). The prevalence of nonalcoholic steatohepatitis (NASH), defined by NAFLD activity score (NAS . 5), was higher in the Caucasians (n = 67) compared to AA (n = 7) (9.8% vs. 3%, P = 0.0007). One hundred fifteen patients (12.8%) had advanced fibrosis: 109 (16.2%) Caucasians and six (2.6%) AA. No AA patients had stage 4 fibrosis or cirrhosis. Multivariate logistic regression analysis revealed advanced fibrosis was significantly associated with age at liver biopsy (OR 1.03, 95% CI 1.0.1.1, P = 0.017, lower platelet count (OR 0.99, 95% CI 0.98.0.99, P = <0.0001), AST/ALT ratio (OR 5.19, 95% CI 2.9.9.2, P <0.0001) and Caucasian race (OR 7.49, 95% CI 2.53.22.2, P = 0.0003). Advanced fibrosis in AA was predicted by lower platelet count and AST/ALT ratio. Whereas Advanced fibrosis in Caucasians was predicted by age at biopsy, lower platelet count and AST/ALT ratio. CONCLUSION: The AA have a distinct clinical and histologic phenotype. Caucasians have a significantly greater proportion of NASH and are eight times more likely to develop advanced fibrosis than AA.

Period Prevalence of Rheumatic Heart Disease and the Need for a Centralized Patient Registry in American Samoa, 2016 to 2018.

Background Rheumatic heart disease (RHD) is a severe, chronic complication of acute rheumatic fever, triggered by group A streptococcal pharyngitis. Centralized patient registries are recommended for RHD prevention and control, but none exists in American Samoa. Using existing RHD tracking systems, we estimated RHD period prevalence and the proportion of people with RHD documented in the electronic health record. Methods and Results RHD cases were identified from a centralized electronic health record system, which retrieved clinical encounters with RHD International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes, clinical problem lists referencing RHD, and antibiotic prophylaxis administration records; 3 RHD patient tracking spreadsheets; and an all-cause mortality database. RHD cases had ≥1 clinical encounter with RHD ICD-10-CM codes, a diagnostic echocardiogram, or RHD as a cause of death, or were included in RHD patient tracking spreadsheets. Period prevalence per 1000 population among children aged <18 years and adults aged ≥18 years from 2016 to 2018 and the proportion of people with RHD with ≥1 clinical encounter with an RHD ICD-10-CM code were estimated. From 2016 to 2018, RHD was documented in 327 people (57.2%: children aged <18 years). Overall RHD period prevalence was 6.3 cases per 1000 and varied by age (10.0 pediatric cases and 4.3 adult cases per 1000). Only 67% of people with RHD had ≥1 clinical encounter with an RHD ICD-10-CM code. Conclusions RHD remains a serious public health problem in American Samoa, and the existing electronic health record does not include all cases. A centralized patient registry could improve tracking people with RHD to ensure they receive necessary care.

Clinical and Genetic Risk Factors of Recurrent Nonalcoholic Fatty Liver Disease After Liver Transplantation.

INTRODUCTION: Nonalcoholic fatty liver disease (NAFLD) has been increasingly reported among recipients of liver transplantation (LT). We aimed to identify clinical and genetic risk factors responsible for the development of early recurrent NAFLD in nonalcoholic steatohepatitis transplant recipients. METHODS: Forty-six total single nucleotide polymorphisms with known association with NAFLD were tested among both recipient and donor liver samples in 66 LT recipients with nonalcoholic steatohepatitis to characterize influences on NAFLD recurrence at ∼1 year post-LT (median interval from LT to biopsy: 377 days). RESULTS: Recurrent NAFLD was identified in 43 (65.2%) patients, 20 (30.3%) with mild recurrence, and 23 (34.8%) with moderate to severe NAFLD. On adjusted analysis, change in the body mass index (BMI) (ΔBMI) was significantly associated with NAFLD recurrence, whereas post-LT diabetes mellitus was associated with increased severity of NAFLD recurrence. ADIPOR1 rs10920533 in the recipient was associated with increased risk of moderate to severe NAFLD recurrence, whereas the minor allele of SOD2 rs4880 in the recipient was associated with reduced risk. Similar reduced risk was noted in the presence of donor SOD2 rs4880 and HSD17B13 rs6834314 polymorphism. DISCUSSION: Increased BMI post-LT is strongly associated with NAFLD recurrence, whereas post-LT diabetes mellitus was associated with increased severity of NAFLD recurrence. Both donor and recipient SOD2 rs4880 and donor HSD17B13 rs6834314 single nucleotide polymorphisms may be associated with reduced risk of early NAFLD recurrence, whereas presence of the minor allele form of ADIPOR1 rs10920533 in the recipient is associated with increased severity NAFLD recurrence.

Can primary care access reduce health care utilization for patients with obesity-associated chronic conditions in medically underserved areas?

OBJECTIVES: The prevalence and burdens of obesity-associated chronic conditions (OCC) are rising nationwide, particularly in health professional shortage areas (HPSA). This study examined the impact of access to primary care on health care utilization for vulnerable populations with OCC in the South. METHODS: Adult patients with obesity (BMI ≥ 30 kg/m2 ), greater than or equal to one additional OCC, and self-reported primary care access data were retrospectively identified from hospital and emergency department (ED) electronic medical records of a major health care system in the South. Multivariable logistic regression assessed factors associated with self-reported access to primary care. Multivariable zero-inflated negative binomial models assessed effect of HPSA residence on relationships between self-reported access to primary care and health care utilization. RESULTS: A total of 29 674 patients were identified. Hypertension (76.1%), type 2 diabetes mellitus (34.1%), and hyperlipidemia (32.9%) were the most prevalent OCC. Males (odds ratio [OR]: 0.43; 95% confidence interval [CI], 0.40-0.47), unmarried (OR: 0.69; 95% CI, 0.63-0.76), and uninsured (OR: 0.29; 95% CI, 0.27-0.32) had lower odds of access to primary care. For patients living in HPSA (vs non-HPSA), access to primary care was associated with higher incidence of overall ED use (relative risk [RR]: 1.38; 95% CI, 1.19-1.61) and lower incidence of potentially preventable hospital use (RR: 0.59; 95% CI, 0.38-0.92). CONCLUSION: Paradoxically, access to primary care may increase ED use while reducing potentially preventable hospital utilization for patients with OCC in HPSA. Increasing access to primary care alone, without strengthening its capacity to serve the needs of vulnerable patients, may be insufficient to reduce hospital utilization.

Natural History of Non-Alcoholic Fatty Liver Disease: A Study With Paired Liver Biopsies.

BACKGROUND: Although there is unequivocal evidence for progression of nonalcoholic steatohepatitis (NASH) to cirrhosis, there is uncertainty with regard to the progression to nonalcoholic fatty liver (NAFL) and NASH. AIMS: We investigated the rate of progression to NASH and advanced fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) and assessed the factors associated with such progression. METHODS: Histological assessment was performed in 36 patients with NAFLD with paired liver biopsies (≥1 year apart; median, 3.8 years; range, 1-10.33 years). NASH Clinical Research Network (NASH CRN) criteria were used to assess NAFLD Activity Score (NAS). RESULTS: At baseline, 26 (72%) patients had NAFL and 10 (28%) patients had NASH. At follow-up, 27% NAFL progressed to NASH (NAS score ≥5), and 50% of patients with NASH no longer met the criteria of NASH. Fibrosis progressed in 15 (42%), regressed in 9 (25%), and remained stable in 12 (33%) patients overall. Thirty-five percent of patients with NAFL had fibrosis progression. The incidence of type 2 diabetes mellitus (T2DM) was higher in patients with NASH versus NAFL (40% vs. 27%). Both at the time of baseline and follow-up, liver biopsies, composite models of noninvasive scores such as Fibrosis-4 (FIB-4) score and NAFLD fibrosis score, and ratio of aspartate aminotransferase (AST) to alanine aminotransferase (ALT) were all significantly higher in progressors than in nonprogressors. CONCLUSIONS: NAFLD is a dynamic liver disease with varying degrees of progression and regression. T2DM was strongly associated with fibrosis progression. Noninvasive fibrosis scores such as AST/ALT ratio, FIB-4 score, and NAFLD fibrosis score can identify those at risk of fibrosis progression.

Association of history of heart failure with hospital outcomes of hyperglycemic crises: Analysis from a University hospital and national cohort.

AIMS: The impact of a history of heart failure (HF) on the outcomes of hospitalization for hyperglycemic crises (diabetic ketoacidosis and hyperosmolar hyperglycemic syndrome) is unknown. We aimed to test the hypothesis that a history of HF has a deleterious impact on the outcomes of hospitalization for hyperglycemic crises. METHODS: We used two different datasets: National Inpatient Sample database 2003-2014 and a single University hospital cohort 2007-2017, to identify all adult hospitalizations with a primary diagnosis of hyperglycemic crises. Multivariable regression models were used to analyze the outcomes of in-hospital mortality, length of hospital stay and transfer to nursing home or similar short-term facility between HF and no-HF hospitalizations. RESULTS: Of the 1, 570,726 hyperglycemic crises related hospitalizations, a history of HF was present in 57, 520 (3.6%) hospitalizations. After multivariable risk-adjustment, HF group had a higher observed in-hospital mortality [0.4% vs. 0.2%; adjusted odds ratio (AOR) = 1.7, 95% CI 1.4 to 2.0, P < .001] and transfer to nursing home or similar short-term facility (3.9 vs. 2.8%, AOR = 1.4, 95% CI 1.3 to 1.5, P < .001) compared with no-HF group. Mean length of hospital stay [6.5 vs. 3.5 days; P < .001] was also higher for HF group than no-HF group. Data from the smaller University hospital cohort showed similar findings. CONCLUSIONS: Patients with a history of HF may be an under-recognized high-risk group among patients hospitalized for hyperglycemic crisis. Additional studies are warranted to clarify risk elements and optimize the inpatient care of individuals with hyperglycemic crises.