Characteristics of and cost of care for children with impaired development and acute appendicitis: A study of 2 national databases.

BACKGROUND: Characteristics of children with impaired development who have acute appendicitis are not well described in the literature. METHODS: We reviewed the National Surgical Quality Improvement Program-Pediatric and the multicenter Pediatric Health Information System for patients with acute appendicitis. Comparisons for demographics, clinical outcomes, and hospital charges between children with impaired development versus neurotypical children were made using independent t test or Wilcoxon rank sum tests. The multivariable logistic regression model estimated the odds of complicated acute appendicitis in impaired development patients. Based on correlation analyses, hierarchical linear modeling was used to examine the extent to which impaired development influenced resource use. RESULTS: Patients with impaired development were younger, had higher comorbidities, and were more commonly male sex. In the National Surgical Quality Improvement Program-Pediatric database, impaired development was associated with higher rates of complicated acute appendicitis (33.6% vs 27.5, P < .001), particularly in older children, and higher usage of computed tomography at National Surgical Quality Improvement Program-Pediatric hospitals (23.1% vs 15.1%, P < .001). In the Pediatric Health Information System database, the adjusted odds of complicated acute appendicitis were significantly higher in patients with impaired development (1.20 [1.09-1.31]), low childhood opportunity level (1.39 [95% confidence interval: 1.31-1.47]), and Black race (1.25 [1.17-1.33]). Hierarchical adjusted linear modeling showed that impaired development was associated with significantly higher hospital charges (9% increase). CONCLUSION: Management of acute appendicitis in children with impaired development remains a challenge to clinicians, as evidenced by the higher rate of perforated appendicitis in older children, diagnostic computed tomography use at National Surgical Quality Improvement Program-Pediatric hospitals, postoperative computed tomography use, and increased costs.

Cognitive, Functional, and Quality of Life Outcomes 6 Months After Mechanical Ventilation for Bronchiolitis: A Secondary Analysis of Data From the Randomized Evaluation of Sedation Titration for Respiratory Failure Trial ( RESTORE ).

OBJECTIVES: To describe rates and associated risk factors for functional decline 6 months after critical bronchiolitis in a large, multicenter dataset. DESIGN: Nonprespecified secondary analysis of existing 6-month follow-up data of patients in the Randomized Evaluation of Sedation Titration for Respiratory Failure trial ( RESTORE , NCT00814099). SETTING: Patients recruited to RESTORE in any of 31 PICUs in the United States, 2009-2013. PATIENTS: Mechanically ventilated PICU patients under 2 years at admission with a primary diagnosis of bronchiolitis. INTERVENTIONS: There were no interventions in this secondary analysis; in the RESTORE trial, PICUs were randomized to protocolized sedation versus usual care. MEASUREMENTS AND MAIN RESULTS: "Functional decline," defined as worsened Pediatric Overall Performance Category and/or Pediatric Cerebral Performance Category (PCPC) scores at 6 months post-PICU discharge as compared with preillness baseline. Quality of life was assessed using Infant Toddler Quality of Life Questionnaire (ITQOL; children < 2 yr old at follow-up) or Pediatric Quality of Life Inventory (PedsQL) at 6 months post-PICU discharge. In a cohort of 232 bronchiolitis patients, 28 (12%) had functional decline 6 months postdischarge, which was associated with unfavorable quality of life in several ITQOL and PedsQL domains. Among 209 patients with normal baseline functional status, 19 (9%) had functional decline. In a multivariable model including all subjects, decline was associated with greater odds of worse baseline PCPC score and longer PICU length of stay (LOS). In patients with normal baseline status, decline was also associated with greater odds of longer PICU LOS. CONCLUSIONS: In a random sampling of RESTORE subjects, 12% of bronchiolitis patients had functional decline at 6 months. Given the high volume of mechanically ventilated patients with bronchiolitis, this observation suggests many young children may be at risk of new morbidities after PICU admission, including functional and/or cognitive morbidity and reduced quality of life.

Postpartum contraceptive choice and fulfillment in patients with opioid use disorder.

OBJECTIVE: We examined the differences in postpartum contraception between patients with and without opioid use disorder (OUD). STUDY DESIGN: We conducted a retrospective, single-institution, cohort analysis assessing differences in desired method of postpartum contraception and plan fulfillment. RESULTS: Patients with OUD comprised 200/8654 (2.3%) of our study cohort. After 2:1 matching, method desired (matched odds ratio [mOR] 0.86, 95% confidence interval [CI] 0.60-1.23 for highly vs. moderately effective) and receipt (mOR 0.77, 95% CI 0.53-1.12) of desired method were comparable between groups. CONCLUSION: Patients with and without OUD were similar in their choice and fulfillment of postpartum contraception.

Identification of factors related to food insecurity and the implications for social determinants of health screenings.

BACKGROUND: Food insecurity and other social determinants of health are increasingly being measured at routine health care visits. Understanding the needs and behaviors of individuals or families who screen positive for food insecurity may inform the types of resources they need. The goal of this research was to identify modifiable characteristics related to endorsement of two food insecurity screener questions to better understand the resources necessary to improve outcomes. METHODS: Analysis was conducted focusing on cross-sectional survey data collected in 2015-2016 from participants (N = 442) living in urban neighborhoods in Ohio with limited access to grocery stores. Food insecurity was assessed by the endorsement of at least one of two items. These were used to categorize participants into two groups: food insecure(N = 252) or food secure (N = 190). Using logistic regression, we estimated the association between several variables and the food insecure classification. RESULTS: Those that used their own car when shopping for food had lower odds of reporting food insecurity, as did those with affirmative attitudes related to the convenience of shopping for and ease of eating healthy foods. As shopping frequency increased, the odds of food insecurity increased. Food insecurity also increased with experience of a significant life event within the past 12 months. There was an 81% increase in the odds of reporting food insecurity among participants who received Supplemental Nutrition Assistance Program benefits compared to those not receiving Supplemental Nutrition Assistance Program benefits. CONCLUSIONS: Along with referrals to SNAP, clinicians can further address screening-identified food insecurity through provision of transportation supports and linkages to other social services while collaborating on community initiatives to promote convenient and easy access to healthy foods. The needs and behaviors associated with screens indicating food insecurity also have implications for impacting other SDH, and thus, health outcomes.

Elevated Dietary Inflammation Among Supplemental Nutrition Assistance Program Recipients Provides Targets for Precision Public Health Intervention.

INTRODUCTION: The Supplemental Nutrition Assistance Program was designed to prevent food insecurity among low-income Americans and has been linked to improvements in pregnancy health, long-term child development, and criminal recidivism. However, the pursuit of food security does not ensure nutritional sufficiency, and the program has not improved diet quality or cardiometabolic mortality (i.e., heart disease, stroke, diabetes). In this study, longitudinal cohort data are used to identify by Supplemental Nutrition Assistance Program status the proinflammatory characteristics that predispose to chronic disease. METHODS: Between 2015 and 2018, annual 24-hour dietary recalls were conducted with 409 residents from low-income, urban neighborhoods in Columbus and Cleveland, Ohio (statistical analysis started in 2019). The Dietary Inflammatory Index was calculated. It provides empirically validated estimates of the internal inflammation that each diet should produce; higher Dietary Inflammatory Index scores have been associated with elevated inflammatory biomarkers. Finally, associations between Supplemental Nutrition Assistance Program and Dietary Inflammatory Index were evaluated, and dietary components that differed by Supplemental Nutrition Assistance Program status were identified. RESULTS: Supplemental Nutrition Assistance Program recipients had higher Dietary Inflammatory Index scores (+0.40, 95% CI=0.09, 0.70) and a consistently lower intake of 4 anti-inflammatory nutrients (dietary fiber, ß-carotene, magnesium, vitamin E) than nonrecipients. Vitamin D intake did not differ by Supplemental Nutrition Assistance Program status but was well below the Recommended Daily Allowance in this sample. CONCLUSIONS: Supplemental Nutrition Assistance Program recipients had elevated Dietary Inflammatory Index scores, implying higher diet-driven inflammation. This was due, in part, to low intake of 4 anti-inflammatory food components, which were higher yet still nutritionally insufficient among nonrecipients. Findings highlight specific nutritional targets for improving public health through dietary change.

Outcomes of Surgical Mitral and Aortic Valve Replacements Among Kidney Transplant Candidates: Implications for Valve Selection.

Background Limited literature exists that evaluated outcomes of kidney transplant-eligible patients who are having dialysis and who are undergoing valve replacement. Our main objective in this study was to compare mortality, reoperation, and bleeding episodes between bioprosthetic and mechanical valve procedures among kidney transplant-eligible patients who are having dialysis. Methods and Results We studied 887 and 1925 dialysis patients from the United States Renal Data System, who underwent mitral valve replacement and aortic valve replacement (AVR) after being waitlisted for a kidney transplant (2000-2015), respectively. Time to death, time to reoperation, and time to bleeding requiring hospitalizations were compared separately for AVR and mitral valve replacement. Kaplan-Meier survival curves, Cox proportional hazards model for time to death, accelerated time to event model for time to reoperation, and counting process model for time to recurrent bleeding were used. There were no differences in mortality (hazard ratio [HR], 0.92; 95% CI, 0.77-1.09) or risk of reoperation or risk of significant bleeding events between bioprosthetic and mechanical mitral valve replacement. However, mechanical AVR was associated with a modestly significant less hazard of death (HR, 0.83; 95% CI, 0.74-0.94) compared with bioprosthetic AVR. There were no differences in time to reoperation, or time to significant bleeding events between bioprosthetic and mechanical AVR. Conclusions For kidney transplant waitlisted patients who are on dialysis and who are undergoing surgical valve replacement, bioprosthetic and mechanical valves have comparable survival, reoperation rates, and bleeding episodes requiring hospitalizations at both mitral and aortic locations. These findings emphasize that an individualized informed decision is recommended when choosing the type of valve for this special group of patients having dialysis.

Home health care after discharge is associated with lower readmission rates for patients with acute myocardial infarction.

OBJECTIVE: We studied the utilization of home health care (HHC) among acute myocardial infarction (AMI) patients, impact of HHC on and predictors of 30-day readmission. METHODS: We queried the National Readmission Database (NRD) from 2012 to 2014identify patients with AMI discharged home with (HHC+) and without HHC (HHC-). Linkage provided in the data identified patients who had 30-day readmission, our primary end-point. The probability for each patient to receive HHC was calculated by a multivariable logistic regression. Average treatment of treated weights were derived from propensity scores. Weight-adjusted logistic regression was used to determine impact of HHC on readmission. RESULTS: A total of 406 237 patients with AMI were discharged home. Patients in the HHC+ cohort (38 215 patients, 9.4%) were older (mean age 77 vs. 60 years P < 0.001), more likely women (53 vs. 26%, P < 0.001), have heart failure (5 vs. 0.5%, P < 0.001), chronic kidney disease (26 vs. 6%, P < 0.001) and diabetes (35 vs. 26%, P < 0.001). Patients readmitted within 30-days were older with higher rates of diabetes (RR = 1.4, 95% CI: 1.37-1.48) and heart failure (RR = 5.8, 95% CI: 5.5-6.2). Unadjusted 30-day readmission rates were 21 and 8% for HHC+ and HHC- patients, respectively. After adjustment, readmission was lower with HHC (21 vs. 24%, RR = 0.89, 95% CI: 0.82-0.96; P < 0.001). CONCLUSION: In the United States, AMI patients receiving HHC are older and have more comorbidities; however, HHC was associated with a lower 30-day readmission rate.

Association of race and ethnicity with postpartum contraceptive method choice, receipt, and subsequent pregnancy.

BACKGROUND: We sought to assess racial/ethnic differences in choice of postpartum contraceptive method after accounting for clinical and demographic correlates of contraceptive use. METHODS: This is a secondary analysis of a single-center retrospective cohort study examining postpartum women from 2012 to 2014. We determined the association between self-identified race/ethnicity and desired postpartum contraception, receipt, time to receipt, postpartum visit attendance, and subsequent pregnancy within 365 days of delivery. RESULTS: Of the 8649 deliveries in this study, 46% were by Black women, 36% White women, 12% Hispanic, and 6% by women of other races. Compared with White women, Black and Hispanic women were more likely to have a postpartum contraception plan for all methods. After multivariable analysis, Hispanic women (relative to White women) were less likely to receive their chosen method (odds ratio [OR] 0.74, 95% confidence interval [CI] 0.64-0.87). Women of races other than Black or Hispanic were less likely to experience a delay in receipt of their desired highly-effective method compared to White women (hazard ratio [HR] = 0.70, 95% CI 0.52-0.94). There were no differences between racial/ethnic groups in terms of postpartum visit adherence. Black women were more likely to be diagnosed with a subsequent pregnancy compared to White women (OR 1.17, 95% CI 1.04-1.32). CONCLUSION: Racial/ethnic variation in postpartum contraceptive outcomes persists after accounting for clinical and demographic differences. While intrinsic patient-level differences in contraceptive preferences should be better understood and respected, clinicians should take steps to ensure that the observed differences in postpartum contraceptive plan methods between racial/ethnic groups are not due to biased counseling.

Small Improvements in an Urban Food Environment Resulted in No Changes in Diet Among Residents.

Living in a low-income neighborhood with low access to healthy food retailers is associated with increased risk for chronic disease. The U.S. Healthy Food Financing Initiative (HFFI) provides resources to support the development of infrastructure to improve neighborhood food environments. This natural experiment examined a HFFI funded food hub that was designed to be implemented by a community development corporation in an urban neighborhood in Cleveland, Ohio. It was intended to increase access to affordable, local, and healthy foods; establish programs to increase social connections and support for healthy eating; and create job opportunities for residents. We used a quasi-experimental, longitudinal design to externally evaluate food hub implementation and its impact on changes to the built and social environment and dietary patterns among residents living in the intervention neighborhood (n = 179) versus those in a comparison (n = 150) neighborhood. Overall, many of the food hub components were not implemented fully, and dose and reach of the executed food hub components was low. There were statistically significant improvements in observed availability of healthy foods in the intervention neighborhood versus the comparison neighborhood. There were no changes over time in diet quality scores, total caloric intake, or fruit and vegetable intake in the intervention neighborhood. In conclusion, low dose implementation of a food hub led to small improvements in availability of healthy foods but not in dietary patterns. Findings highlight challenges to implementing a food hub in neighborhoods with low access to healthy food retailers.

Predictors of Supplemental Nutrition Assistance Program Use at Farmers' Markets With Monetary Incentive Programming.

PURPOSE: Healthy food incentive program implementation targeting people receiving Supplemental Nutrition Assistance Program (SNAP) benefits is supported by the federal Food Insecurity Nutrition Incentive (FINI) grant program. This study examined factors contributing to increased SNAP use at farmers' markets with an FINI-funded incentive program. DESIGN: Implementation evaluation. SETTING: Sixteen states and District of Columbia. PARTICIPANTS: Two hundred eighty-two FINI-funded farmers' markets open in 2016. MEASURES: Weekly SNAP sales and transactions per 1000 SNAP households in the Zip Code Tabulation Areas around markets. ANALYSIS: Two-level hierarchical regression modeling. RESULTS: Most farmers' markets (53%) had less than 100 SNAP transactions in 2016. Weekly SNAP sales and transactions per 1000 SNAP households were 69.9% and 47.7% higher, respectively, if more than 1 incentive was available versus 1. Not having paid market staff resulted in declines in these sales (-34.3%) and transactions (-38.1%) compared to markets with paid staff. There was a 6.2% and 5.1% increase in SNAP sales and transactions for each additional produce vendor. Weekly SNAP sales and transactions were about 2 to 3 times higher in rural areas compared to metropolitan. Clustering of markets within states explained 10% of the variation in weekly SNAP sales and transactions. CONCLUSION: Four implementation factors were identified that may facilitate the reach of SNAP-based monetary incentive programs at farmers' markets to maximize reach and impact among SNAP shoppers.

Characterization of long-term prognosis in acute pancreatitis: An explorative analysis.

BACKGROUND/OBJECTIVES: Severity classification systems of acute pancreatitis (AP) assess inpatient morbidity and mortality without predicting outpatient course of AP. To provide appropriate outpatient care, determinants of long-term prognosis must also be identified. The aim of this study was to define clinical groups that carry long-term prognostic significance in AP. METHODS: A retrospective study that included patients admitted with AP was conducted. Determinants of long-term prognosis were extracted: These included Revised Atlanta and Determinant Based Classification (RAC), Charlson Comorbidity Index (CCI), Modified CT Severity Index (MCTSI), etiology, and local complications (LCs). Seven surrogates of morbidity up to 1 year after discharge were also collected and subsequently imputed into a clustering algorithm. The algorithm was set to produce three categories and multinomial regression analysis was performed. RESULTS: 281 patients were included. The incidences of morbidity endpoints were similar among the 3 RAC categories. Three clusters were identified that carried long-term prognostic significance. Each cluster was given a name to reflect prognosis. The limited AP had the best prognosis and included patients without LCs with a low co-morbidity burden. The brittle AP had a low co-morbidity burden and high MCTSI (LCs 94%). It ran a very morbid course but had excellent survival. The high-risk AP had the worst prognosis with the highest mortality rate (28%). They had a high co-morbidity burden without local complications. CONCLUSION: Categories that carry long-term prognostic significance in AP have been developed. This study could help formulate appropriate follow-up and ultimately improve AP outcomes.

Trends and determinants of stunting among under-5s: evidence from the 1995, 2001, 2006 and 2011 Uganda Demographic and Health Surveys.

OBJECTIVE: To describe trends of childhood stunting among under-5s in Uganda and to assess the impact of maternal education, wealth and residence on stunting. DESIGN: Serial and pooled cross-sectional analyses of data from Uganda Demographic and Health Surveys (UDHS) of 1995, 2001, 2006 and 2011. Prevalence of stunting and mean height-for-age Z-score were computed by maternal education, wealth index, region and other sociodemographic characteristics. Multivariable logistic and linear regression models were fitted to survey-specific and pooled data to estimate independent associations between covariates and stunting or Z-score. Sampling weights were applied in all analyses. SETTING: Uganda. SUBJECTS: Children aged <5 years. RESULTS: Weighted sample size was 14 747 children. Stunting prevalence decreased from 44·8% in 1995 to 33·2% in 2011. UDHS reported stunting as 38% in 1995, underestimating the decline because of transitioning from National Center for Health Statistics/Centers for Disease Control and Prevention standards to WHO standards. Nevertheless, one in three Ugandan children was still stunted by 2011. South Western, Mid Western, Kampala and East Central regions had highest odds of stunting. Being born in a poor or middle-income household, of a teen mother, without secondary education were associated with stunting. Other persistent stunting predictors included small birth size, male gender and age 2-3 years. CONCLUSIONS: Sustained decrease in stunting suggests that child nutrition interventions have been successful; however, current prevalence does not meet Millennium Development Goals. Stunting remains a public health concern and must be addressed. Customizing established measures such as female education and wealth creation while targeting the most vulnerable groups may further reduce childhood stunting.

Consensus modeling to develop the farmers' market readiness assessment and decision instrument.

Nutrition-related policy, system, and environmental (PSE) interventions such as farmers' markets have been recommended as effective strategies for promoting healthy diet for chronic disease prevention. Tools are needed to assess community readiness and capacity factors influencing successful farmers' market implementation among diverse practitioners in different community contexts. We describe a multiphase consensus modeling approach used to develop a diagnostic tool for assessing readiness and capacity to implement farmers' market interventions among public health and community nutrition practitioners working with low-income populations in diverse contexts. Modeling methods included the following: phase 1, qualitative study with community stakeholders to explore facilitators and barriers influencing successful implementation of farmers' market interventions in low-income communities; phase 2, development of indicators based on operationalization of qualitative findings; phase 3, assessment of relevance and importance of indicators and themes through consensus conference with expert panel; phase 4, refinement of indicators based on consensus conference; and phase 5, pilot test of the assessment tool. Findings illuminate a range of implementation factors influencing farmers' market PSE interventions and offer guidance for tailoring intervention delivery based on levels of community, practitioner, and organizational readiness and capacity.

Predictive models of poly(ethylene-terephthalate) film degradation under multi-factor accelerated weathering exposures.

Accelerated weathering exposures were performed on poly(ethylene-terephthalate) (PET) films. Longitudinal multi-level predictive models as a function of PET grades and exposure types were developed for the change in yellowness index (YI) and haze (%). Exposures with similar change in YI were modeled using a linear fixed-effects modeling approach. Due to the complex nature of haze formation, measurement uncertainty, and the differences in the samples' responses, the change in haze (%) depended on individual samples' responses and a linear mixed-effects modeling approach was used. When compared to fixed-effects models, the addition of random effects in the haze formation models significantly increased the variance explained. For both modeling approaches, diagnostic plots confirmed independence and homogeneity with normally distributed residual errors. Predictive R2 values for true prediction error and predictive power of the models demonstrated that the models were not subject to over-fitting. These models enable prediction under pre-defined exposure conditions for a given exposure time (or photo-dosage in case of UV light exposure). PET degradation under cyclic exposures combining UV light and condensing humidity is caused by photolytic and hydrolytic mechanisms causing yellowing and haze formation. Quantitative knowledge of these degradation pathways enable cross-correlation of these lab-based exposures with real-world conditions for service life prediction.