Pulmonary ultrasound scoring system for intubated critically ill patients and its association with clinical metrics and mortality: A prospective cohort study.

PURPOSE: Pulmonary ultrasound (PU) examination at the point-of-care can rapidly identify the etiology of acute respiratory failure (ARF) and assess treatment response. The often-subjective classification of PU abnormalities makes it difficult to document change over time and communicate findings across providers. The study goal was to develop a simple, PU scoring system that would allow for standardized documentation, have high interprovider agreement, and correlate with clinical metrics. METHODS: In this prospective study of 250 adults intubated for ARF, a PU examination was performed at intubation, 48-hours later, and at extubation. A total lung score (TLS) was calculated. Clinical metrics and final diagnosis were extracted from the medical record. RESULTS: TLS correlated positively with mortality (P = .03), ventilator hours (P = .003), intensive care unit, and hospital length of stay (P = .003, P = .008), and decreasing PaO2 /FiO2 (P < .001). Agreement of PU findings was very good (kappa = 0.83). Baseline TLS and subscores differed significantly between ARF categories (nonpulmonary, obstructive, and parenchymal disease). CONCLUSIONS: A quick, scored, PU examination was associated with clinical metrics, including mortality among a diverse population of patients intubated for ARF. In addition to diagnostic and prognostic information at the bedside, a standardized and quantifiable approach to PU provides objectivity in serial assessment and may enhance communication of findings between providers.

Care Management Processes Important for High-Quality Diabetes Care.

OBJECTIVE: Identify the improvement in diabetes performance measures and population-based clinical outcomes resulting from changes in care management processes (CMP) in primary care practices over 3 years. RESEARCH DESIGN AND METHODS: This repeated cross-sectional study tracked clinical performance measures for all diabetes patients seen in a cohort of 330 primary care practices in 2017 and 2019. Unit of analysis was patient-year with practice-level CMP exposures. Causal inference is based on dynamic changes in individual CMPs between years by practice. We used the Bayesian method to simultaneously estimate a five-outcome model: A1c, systolic and diastolic blood pressure, guideline-based statin use, and Optimal Diabetes Care (ODC). We control for unobserved time-invariant practice characteristics and secular change. We modeled correlation of errors across outcomes. Statistical significance was identified using 99% Bayesian credible intervals (analogous to P < 0.01). RESULTS: Implementation of 18 of 62 CMPs was associated with statistically significant improvements in patient outcomes. Together, these resulted in 12.1% more patients meeting ODC performance measures. Different CMPs affected different outcomes. Three CMPs accounted for 47% of the total ODC improvement, 68% of A1c decrease, 21% of SBP reduction, and 55% of statin use increase: 1) systems for identifying and reminding patients due for testing, 2) after-visit follow-up by a nonclinician, and 3) guideline-based clinician reminders for preventive services during a clinic visit. CONCLUSIONS: Effective quality improvement in primary care focuses on practice redesign that clearly improves diabetes outcomes. Tailoring CMP adoption in primary care provides effective improvement in ODC performance through focused changes in diabetes outcomes.

Ready-to-eat cereal consumption is associated with improved nutrient intakes and diet quality in Canadian adults and children across income levels.

Background: Results from observational studies suggest ready-to-eat cereal (RTEC) consumption is associated with higher diet quality. In the United States, studies have shown that RTEC is an important contributor to nutrient intakes across income levels. However, it is unknown if this association varies by income level in the Canadian population. Given its affordability, RTEC may represent an important source of nutrients for lower-income individuals. Objective: This study evaluated the association of RTEC consumption with nutrient intakes and diet quality across household income levels in Canadian adults and children. Methods: Income and dietary data from 24 h dietary recalls were obtained from the 2015 Canadian Community Health Survey (CCHS)-Nutrition in 6,181 children (2-18 years) and 13,908 adults (19+ years). Diet quality was assessed with a modified Nutrient Rich Food Index (NRF) 9.3. Income levels were stratified into low, middle, and high based on family size, and data were analyzed by RTEC consumption and income level using multivariate linear regression adjusted for energy, age, and sex. Results: Diet quality was greater in adult and child RTEC consumers across all household income levels. Children and adults consuming RTEC also had higher nutrient intakes, including shortfall nutrients such as calcium, dietary fiber, iron, magnesium, and vitamin D. RTEC provided <10% of energy intake, <4% of saturated fat intake, and <9% of total sugar intake across all ages and income levels, while also providing one-third of daily iron intake and at least 10% of daily intake of dietary fiber, thiamin, folate, and vitamin B6. Conclusion: RTEC consumption was associated with improved nutrient intakes and diet quality in adults and children across household income levels. Nutrient dense and affordable food choices, such as RTEC, may be a helpful strategy to improve the diet quality of Canadians, particularly those with a lower household income.

Associations of Ready-to-Eat Cereal Consumption and Income With Dietary Outcomes: Results From the National Health and Nutrition Examination Survey 2015-2018.

Background: Ready-to-eat (RTE) cereal has been associated with higher diet quality but it is not known if this association differs by income. Objective: To investigate the association of RTE cereal with dietary outcomes in a US population stratified by income [measured using the poverty-to-income ratio (PIR)]. Methods: Data from children 2-18 years (n = 5,028) and adults 19 years and older (n = 9,813) with 24-h dietary recalls from the cross-sectional, US nationally-representative 2015-2016 and 2017-2018 National Health and Nutrition Examination Surveys (NHANES) were used in a multivariable linear model that included cereal eating status (based on day 1 24 h dietary recall), PIR category (Low-PIR <1.85; Mid-PIR 1.85-3.50; High-PIR >3.50) and their interaction. PIR is based on the ratio of the family household income to the poverty level set by the US Department of Health and Human Services and higher PIR values indicate higher household income. Results: For children, there were positive associations between RTE cereal consumption and nutrient (e.g., iron, calcium, fiber, potassium and vitamin D, p < 0.001) and food group (e.g., whole grain and dairy, p < 0.001) intake and 2015-HEI (p < 0.0001) but no association with PIR or RTE cereal-PIR interaction. For adults, PIR category was positively associated with the intake of nutrients (e.g., fiber, magnesium, potassium, and vitamin C, p < 0.001) as was RTE cereal consumption (e.g., fiber, calcium, vitamin D, potassium, vitamin B12, among others, p < 0.001). Both PIR and RTE cereal were positively associated with whole grain, dairy, and fruit (p < 0.001) and 2015-HEI (p < 0.0001) for adults. We also found a significant interaction between PIR and RTE cereal for adults for iron, phosphorus, B vitamins, and dairy (p < 0.001). RTE cereal contributed to one quarter or more of daily intake, across all age and PIR groups, for several B vitamins, iron, zinc, and whole grains. Added sugar intake was not associated with RTE cereal consumption in either children or adults. Conclusion: RTE cereal was associated with improved dietary outcomes, including increased intake of under-consumed nutrients, increased intake of recommended food groups, and higher diet quality, at all income levels. This work can help inform future dietary recommendations.

Ready-to-eat cereal is an affordable breakfast option associated with better nutrient intake and diet quality in the US population.

Background: Results from observational studies have reported ready-to-eat cereal (RTEC) consumers have higher dietary quality and nutrient intake compared to consumers of non-RTEC breakfasts or those who do not eat breakfast. Yet, there have been few investigations on the relationship of RTEC to meal costs at breakfast and across the day, which may be one reason some consumers choose to not consume breakfast. Objective: The objective of this study is to evaluate the contribution of RTEC consumed at breakfast to nutrient intake and adequacy, diet quality and meal costs in a nationally representative sample of children and adults in the US. Methods: Dietary data from 2,259 children (2-18 years) and 4,776 adults (≥19 years) in the National Health and Nutrition Examination Survey (NHANES) 2017-2018 were evaluated to compare nutrient intake, adequacy, dietary quality, and food costs in RTEC breakfast consumers, non-RTEC breakfast consumers and those who did not consume breakfast. Results: RTEC breakfast consumers made up 28% of children and 12% of adults. Children and adults consuming RTEC for breakfast had higher intakes of carbohydrate, dietary fiber, calcium, magnesium, iron, zinc, phosphorus, potassium, B vitamins, vitamins A and D, whole grains, and total dairy compared to consumers of non-RTEC breakfast or no breakfast. There were no differences by breakfast status for sodium, saturated fat, or added sugar, except adults consuming RTEC had lower added sugar intake compared to those who did not consume breakfast. RTEC breakfast consumers were also more likely to meet estimated average requirements (EAR) for intake of several nutrients and had overall higher dietary quality. For children, breakfast meal costs were less for RTEC breakfast compared to non-RTEC breakfast, but total daily meal costs were similar for consumers of RTEC and non-RTEC breakfasts. Conclusion: RTEC breakfasts may contribute to greater nutrient intake and diet quality in children and adults in the US without increasing total daily meal costs.

Bayesian variable selection in hierarchical difference-in-differences models.

A popular method for estimating a causal treatment effect with observational data is the difference-in-differences model. In this work, we consider an extension of the classical difference-in-differences setting to the hierarchical context in which data cannot be matched at the most granular level. Our motivating example is an application to assess the impact of primary care redesign policy on diabetes outcomes in Minnesota, in which the policy is administered at the clinic level and individual outcomes are not matched from pre- to post-intervention. We propose a Bayesian hierarchical difference-in-differences model, which estimates the policy effect by regressing the treatment on a latent variable representing the mean change in group-level outcome. We present theoretical and empirical results showing a hierarchical difference-in-differences model that fails to adjust for a particular class of confounding variables, biases the policy effect estimate. Using a structured Bayesian spike-and-slab model that leverages the temporal structure of the difference-in-differences context, we propose and implement variable selection approaches that target sets of confounding variables leading to unbiased and efficient estimation of the policy effect. We evaluate the methods' properties through simulation, and we use them to assess the impact of primary care redesign of clinics in Minnesota on the management of diabetes outcomes from 2008 to 2017.

An efficient Bayesian platform trial design for borrowing adaptively from historical control data in lymphoma.

To reduce a clinical trial's cost and ethical risk to its enrollees, some oncology trial designers have suggested borrowing information from similar but already completed trials to reduce the number of patients needed for the current study. Motivated by competing drug therapies for lymphoma, we propose a Bayesian adaptive "platform" trial design that uses commensurate prior methods at interim analyses to borrow adaptively from the control group of an earlier-starting trial. The design adjusts the trial's randomization ratio in favor of the novel treatment when the interim posterior indicates commensurability of the two control groups. In this setting, our design can supplement a control arm with historical data, and randomize more new patients to the novel treatments. This design is both ethical and economical, since it shortens the process of introducing new treatments into the market, and any additional costs introduced by this design will be compensated by the savings in control arm sizes. Our approach performs well via simulation across settings with varying degrees of commensurability and true treatment effects, and compares favorably to an adaptive "all-or-nothing" approach in which the decision to pool or discard historical controls is based on a simple ad-hoc frequentist test at interim analysis. We also consider a three drug extension where a new imaginary intervention joins the platform, and show again that our procedure performs well via simulation.

A Bayesian Difference-in-Difference Framework for the Impact of Primary Care Redesign on Diabetes Outcomes.

Although national measures of the quality of diabetes care delivery demonstrate improvement, progress has been slow. In 2008, the Minnesota legislature endorsed the patient-centered medical home (PCMH) as the preferred model for primary care redesign. In this work, we investigate the effect of PCMH-related clinic redesign and resources on diabetes outcomes from 2008 to 2012 among Minnesota clinics certified as PCMHs by 2011 by using a Bayesian framework for a continuous difference-in-differences model. Data from the Physician Practice Connections-Research Survey were used to assess a clinic's maturity in primary care transformation, and diabetes outcomes were obtained from the MN Community Measurement (MNCM) program. These data have several characteristics that must be carefully considered from a modeling perspective, including the inability to match patients over time, the potential for dynamic confounding, and the hierarchical structure of clinics. An ad-hoc analysis suggests a significant correlation between PCMH-related clinic redesign and resources on diabetes outcomes; however, this effect is not detected after properly accounting for different sources of variability and confounding. Supplementary materials for this article are available online.

Postoperative respiratory failure necessitating transfer to the intensive care unit in orthopedic surgery patients: risk factors, costs, and outcomes.

BACKGROUND: Postoperative pulmonary complications in orthopedic surgery patients have been associated with worse clinical outcomes. Identifying patients with respiratory risk factors requiring enhanced monitoring and management modifications is an important part of postoperative care. Patients with unanticipated respiratory decompensation requiring transfer to the intensive care unit (ICU) have not been studied in sufficient detail. METHODS: A retrospective case-control study of elective orthopedic surgery patients (knee, hip, shoulder, or spine, n = 51) who developed unanticipated respiratory failure (RF) necessitating transfer to the ICU over a 3-year period was conducted. Controls (n = 153) were frequency matched to cases by gender, age, and surgical procedure. Patient and perioperative care factors, clinical outcomes, and cost of care were examined. RESULTS: Transfer to the ICU occurred within 48 h of surgery in 73 % of the cases, 31 % required non-invasive ventilation, and 18 % required mechanical ventilation. Cases had a higher prevalence of chronic obstructive pulmonary disease (COPD), obstructive sleep apnea (OSA), and regular psychotropic medication use than controls. Cases received more intravenous opioids during the first 24 postoperative hours, were hospitalized 4 days longer, had higher in-hospital mortality, and had excess hospitalization costs of US$26,571. COPD, OSA, preoperative psychotropic medications, and anesthesia time were associated with risk of RF in a multivariate analysis. CONCLUSIONS: Unanticipated RF after orthopedic surgery is associated with extended hospitalization, increased mortality, and higher cost of care. Hospital protocols that include risk factor assessment, enhanced monitoring, and a cautious approach to opioid use in high-risk patients may reduce the frequency of this complication.