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Purpose: There are case reports on potential parental risk factors regarding children with non-syndromic craniosynostosis implicating multiple possible pathologic contributions. A case control study was undertaken to elucidate any underlying trends of parental risk factors which yield craniosynostosis in their offspring. Methods: An IRB approved case-control study was performed by administering a survey to parents of children with and without craniosynostosis at the Children’s Hospital of Richmond from March 2018 to December 2019. To determine important risk factors for craniosynostosis, a classification and regression tree (CART) algorithm was employed. Results: Survey responses for 128 children were obtained, 78 (60.93%) of which had craniosynostosis. The remaining 50 children served as the control group. The classification tree produced splits based on the following five predictors: prematurity of the child, gender of the child, educational status of the mother, mother’s history of smoking and maternal diabetes. The most important factor was preterm birth of the infant. The second factor was the gender of the child followed by educational level and history of smoking, and finally presence of diabetes in the mother. The resulting classification tree was 78.9% accurate with high sensitivity (81.1%) and specificity (78.0%).Conclusion: Potential important predictors for craniosynostosis were identified through the classification tree including prematurity, sex of the child, maternal education level, maternal smoking status, and maternal diabetes status. These findings may help guide future research efforts into the pathophysiology of non-syndromic craniosynostosis.

Clostridioides difficile infection guidelines were published in final format on April 1, 2018. Among 4962 and 3545 C. difficile infection cases in children the year before and after publication, oral metronidazole use decreased from 63.0% to 44.3% (P < 0.001) and oral vancomycin use increased from 27.3% to 47.7% (P < 0.001). Quarterly metronidazole utilization decreased postguidelines among 117 institutions, incidence rate ratios 0.86 (95% confidence intervals: 0.78-0.96).

Objective Suction-assisted laryngoscopy and airway decontamination (SALAD) was created to assist with the decontamination of a massively soiled airway. This study aims to investigate the usefulness of SALAD training to prehospital emergency providers to improve their ability to intubate a massively contaminated airway. Methods This was a prospective study conducted as a before and after teaching intervention. Participants were made up of prehospital providers who were present at regularly scheduled training sessions and were asked to intubate a high-fidelity mannequin simulating large-volume emesis before and after SALAD instruction. They were subsequently tested on 3-month skill retention. Twenty subjects participated in all stages of the study and were included in the analysis. Results The median time to successful intubation for all study participants before instruction was 60.5 seconds (interquartile range [IQR] = 44.0-84.0); post-training was 43.0 seconds (IQR = 38.0-57.5); and at the 3-month follow-up, it was 29.5 seconds (IQR = 24.5-39.0). The greatest improvement was seen on subgroup analysis of the slowest 50th percentile where the median time before instruction was 84.0 seconds (IQR = 68.0-96.0); post-instruction was 41.5 seconds (IQR = 36.0-65.0); and at the 3-month follow-up, it was 29.5 seconds (IQR = 25.0-39.0). Conclusion The implementation of the SALAD technique through a structured educational intervention improved time to intubation and the total number of attempts.

Introduction: We describe the California Healthy Places Index (HPI) and its performance relative to other indexes for measuring community well-being at the census-tract level. The HPI arose from a need identified by health departments and community organizations for an index rooted in the social determinants of health for place-based policy making and program targeting. The index was geographically granular, validated against life expectancy at birth, and linked to policy actions. Materials and Methods: Guided by literature, public health experts, and a positive asset frame, we developed a composite index of community well-being for California from publicly available census-tract data on place-based factors linked to health. The 25 HPI indicators spanned 8 domains; weights were derived from their empirical association with tract-level life expectancy using weighted quantile sums methods. Results: The HPI’s domains were aligned with the social determinants of health and policy action areas of economic resources, education, housing, transportation, clean environment, neighborhood conditions, social resources, and health care access. The overall HPI score was the sum of weighted domain scores, of which economy and education were highly influential (50% of total weights). The HPI was strongly associated with life expectancy at birth ( r = 0.58). Compared with the HPI, a pollution-oriented index did not capture one-third of the most disadvantaged quartile of census tracts (representing 3 million Californians). Overlap of the HPI’s most disadvantaged quartile of census tracts was greater for indexes of economic deprivation. We visualized the HPI percentile ranking as a web-based mapping tool that presented the HPI at multiple geographies and that linked indicators to an action-oriented policy guide. Practice Implications: The framing of indexes and specifications such as domain weighting have substantial consequences for prioritizing disadvantaged populations. The HPI provides a model for tools and new methods that help prioritize investments and identify multisectoral opportunities for policy action.

Objective:To determine whether cascade reporting is associated with a change in meropenem and fluoroquinolone consumption.Design:A quasi-experimental study was conducted using an interrupted time series to compare antimicrobial consumption before and after the implementation of cascade reporting.Setting:A 399-bed, tertiary-care, Veterans’ Affairs medical center.Participants:Antimicrobial consumption data across 8 inpatient units were extracted from the Center for Disease Control and Prevention (CDC) National Health Safety Network (NHSN) antimicrobial use (AU) module from April 2017 through March 2019, reported as antimicrobial days of therapy (DOT) per 1,000 days present (DP).Intervention:Cascade reporting is a strategy of reporting antimicrobial susceptibility test results in which secondary agents are only reported if an organism is resistant to primary, narrow-spectrum agents. A multidisciplinary team developed cascade reporting algorithms for gram-negative bacteria based on local antibiogram and infectious diseases practice guidelines, aimed at restricting the use of fluoroquinolones and carbapenems. The algorithms were implemented in March 2018.Results:Following the implementation of cascade reporting, mean monthly meropenem (P =.005) and piperacillin/tazobactam (P = .002) consumption decreased and cefepime consumption increased (P < .001). Ciprofloxacin consumption decreased by 2.16 DOT per 1,000 DP per month (SE, 0.25; P < .001). Clostridioides difficile rates did not significantly change.Conclusion:Ciprofloxacin consumption significantly decreased after the implementation of cascade reporting. Mean meropenem consumption decreased after cascade reporting was implemented, but we observed no significant change in the slope of consumption. cascade reporting may be a useful strategy to optimize antimicrobial prescribing.

Objective Physical therapy visit number and timing following knee arthroplasty (KA) are variable in daily practice. The extent to which the number and timing of physical therapy visits are associated with current and future pain and function—and, alternatively, whether pain and function are associated with the number of future physical therapy visits following KA—are unknown. The purpose of this study was to determine temporal and reciprocal associations between the number of physical therapy visits and future pain and function in people with KA. Methods A cross-lagged panel design was applied to a secondary analysis of data from a randomized clinical trial of patients with pain catastrophizing. The 326 participants underwent KA and completed at least 7 of 9 health care diaries over the year following surgery. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and physical function subscales were completed preoperatively and multiple times during follow-up. Separate cross-lagged panel analyses were conducted for WOMAC pain and physical function. Results From surgery to 2 months postsurgery, reciprocal associations were generally not found between physical therapy visit number and future pain or function. From 2 to 6 months postsurgery, a greater number of physical therapy weekly visits were associated with higher (worse) 6-month pain and function. Higher (worse) WOMAC pain at 2 and 6 months led to more visits from 2 to 6 and 6 to 12 months, respectively. Conclusions Higher pain scores 2 months postsurgery were associated with higher physical therapy use in the 2 to 6 months following surgery. However, patients with increased physical therapy use from 2 to 6 months had significantly higher pain scores 6 months postsurgery. Those patients with persistent pain 6 months postsurgery were higher users of physical therapy 6 to 12 months postsurgery. This reciprocal positive association between pain and physical therapy during this time period suggests minimal benefit of physical therapy despite an increased physical therapy use for patients with higher pain. Impact This is the first study to determine the association between the number and timing of physical therapy visits and current and future pain and function. Based on the results, physical therapy might not be a cost-effective strategy to treat patients with persistent pain following KA.

Purpose This research aimed to identify significantly elevated areas of risk for suicide in Virginia adjusting for risk factors and risk factor uncertainty. Methods We fit three Bayesian hierarchical spatial models for relative risk of suicide adjusting for risk factors and considering different random effects. We compared models with and without incorporating parameter estimates’ margin of error (MOE) from the American Community Survey and identified counties with significantly elevated risk and highly significantly elevated risk for suicide. Results Incorporating MOEs and using a mixing parameter between unstructured and spatially structured random effects achieved the best model fit. Fifty-two counties had significantly elevated risk and 18 had highly significantly elevated risk of suicide. Models without MOEs underestimated relative risk and over-identified counties with elevated risk. Conclusions Accounting for uncertainty in parameter estimates achieved better model fit. Efficient allocation of resources for suicide prevention can be attained by targeting clusters of counties with elevated risk.

Background Cascade reporting (CR) is a strategy of reporting antimicrobial susceptibility test results in which secondary agents are only reported if an organism is resistant to primary, narrow spectrum agents within a drug class. A multidisciplinary team developed CR algorithms for Gram-negative bacteria based on the local antibiogram and infectious diseases practice guidelines. Methods CR was implemented at a 399-bed tertiary care VAMC in March 2018. In a quasi-experimental study, antimicrobial use data across 8 inpatient units were extracted from the CDC’s NHSN AU module from April 2017 – March 2019 (12 months pre- and post-implementation of CR), reported as antimicrobial days of therapy (DOT) per 1000 days present (DP). T-tests and linear mixed models accounting for seasonal and random unit effects were used to compare antimicrobial use pre- and post-CR implementation. Figure 1A. Cascade reporting algorithm for antimicrobial susceptibility reporting for Enterobacteriaceae Figure 1B. Cascade reporting algorithm for antimicrobial susceptibility reporting for Pseudomonas aeruginosa Results Following CR implementation, mean monthly meropenem (p=0.005) and piperacillin/tazobactam (p=0.002) use decreased, while cefepime use increased (p< 0.001). The slope of ciprofloxacin use decreased by 2.16 DOTs/1,000 DP per month (SE=0.25, p< 0.001). The slope of cefpodoxime and moxifloxacin use decreased by 18% (p< 0.001), and 7% (p< 0.001), respectively. The slope of cephalexin use decreased by 0.55 DOTs/1,000 DP (SE=0.26, p< 0.001). The slope of ceftriaxone and cefepime use increased by 1.51 (SE=0.59, p=0.011) and 1.06 (SE=.32, p=0.002) DOTs/1000 DP per month, respectively. There were no significant changes in the slope of amoxicillin/clavulanate, levofloxacin, or meropenem consumption. Rates of Clostridioides difficile infection did not significantly change. Figure 2A. Average monthly use of oral antibiotics across all units in average days of therapy (DOTs) per 1000 days present. CR = Cascade reporting. *For Cefpodoxime and moxifloxacin medians were reported as data was not normally distributed. Figure 2B. Average monthly use of intravenous antibiotics across all units in average days of therapy (DOTs) per 1000 days present. CR = Cascade reporting. Table 1. Slope of Antimicrobial Utilization Pre and Post-Cascade Reporting Implementation. Conclusion After implementation of CR, the slope of ciprofloxacin use decreased and mean monthly meropenem use decreased. CR is a valuable tool that can be employed by ASPs to encourage optimal use of antibiotics. Disclosures All Authors: No reported disclosures

Background The Centers for Medicare and Medicaid Services (CMS) implemented a core measure sepsis (SEP-1) bundle in 2015. One element was initiation of broad-spectrum antibiotics within 3 hours of diagnosis. The policy has the potential to increase antibiotic use and Clostridioides difficile infection (CDI). We evaluated the impact of SEP-1 implementation on broad-spectrum antibiotic use and CDI occurrence rates. Methods Monthly adult antibiotic data for 4 antibiotic categories (surgical prophylaxis, broad-spectrum for community-acquired infections, broad-spectrum for hospital-onset/multidrug-resistant [MDR] organisms, and anti–methicillin-resistant Staphylococcus aureus [MRSA]) from 111 hospitals participating in the Clinical Data Base Resource Manager were evaluated in periods before (October 2014–September 2015) and after (October 2015–June 2017) policy implementation. Interrupted time series analyses, using negative binomial regression, evaluated changes in antibiotic category use and CDI rates. Results At the hospital level, there was an immediate increase in the level of broad-spectrum agents for hospital-onset/MDR organisms (+2.3%, P = .0375) as well as a long-term increase in trend (+0.4% per month, P = .0273). There was also an immediate increase in level of overall antibiotic use (+1.4%, P = .0293). CDI rates unexpectedly decreased at the time of SEP-1 implementation. When analyses were limited to patients with sepsis, there was a significant level increase in use of all antibiotic categories at the time of SEP-1 implementation. Conclusions SEP-1 implementation was associated with immediate and long-term increases in broad-spectrum hospital-onset/MDR organism antibiotics. Antimicrobial stewardship programs should evaluate sepsis treatment for opportunities to de-escalate broad therapy as indicated.

For the past century, life expectancy in industrialized countries has increased, and the U.S. has shared in that progress. However, beginning in the 1980s, advances in U.S. life expectancy began to lose pace with peer countries. By 1998, U.S. life expectancy had fallen below the average for Organisation for Economic Cooperation and Development nations. U.S. life expectancy peaked in 2014 and has been decreasing for three consecutive years, a trend not been seen since the influenza pandemic a century ago. Put simply, U.S. health is in decline., Copyright © 2019 Steven H. Woolf, Heidi Schoomaker, Latoya Hill, and Christine M. Orndahl This work is licensed under a Creative Commons Attribution 4.0 License.