Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data.

BACKGROUND: Cardiovascular conditions (eg, cardiac and coronary conditions, hypertensive disorders of pregnancy, and cardiomyopathies) were the leading cause of maternal mortality between 2017 and 2019. The United States has the highest maternal mortality rate of any high-income nation, disproportionately impacting those who identify as non-Hispanic Black or Hispanic. Novel clinical approaches to the detection and diagnosis of cardiovascular conditions are therefore imperative. Emerging research is demonstrating that machine learning (ML) is a promising tool for detecting patients at increased risk for hypertensive disorders during pregnancy. However, additional studies are required to determine how integrating ML and big data, such as electronic health records (EHRs), can improve the identification of obstetric patients at higher risk of cardiovascular conditions. OBJECTIVE: This study aimed to evaluate the capability and timing of a proprietary ML algorithm, Healthy Outcomes for all Pregnancy Experiences-Cardiovascular-Risk Assessment Technology (HOPE-CAT), to detect maternal-related cardiovascular conditions and outcomes. METHODS: Retrospective data from the EHRs of a large health care system were investigated by HOPE-CAT in a virtual server environment. Deidentification of EHR data and standardization enabled HOPE-CAT to analyze data without pre-existing biases. The ML algorithm assessed risk factors selected by clinical experts in cardio-obstetrics, and the algorithm was iteratively trained using relevant literature and current standards of risk identification. After refinement of the algorithm's learned risk factors, risk profiles were generated for every patient including a designation of standard versus high risk. The profiles were individually paired with clinical outcomes pertaining to cardiovascular pregnancy conditions and complications, wherein a delta was calculated between the date of the risk profile and the actual diagnosis or intervention in the EHR. RESULTS: In total, 604 pregnancies resulting in birth had records or diagnoses that could be compared against the risk profile; the majority of patients identified as Black (n=482, 79.8%) and aged between 21 and 34 years (n=509, 84.4%). Preeclampsia (n=547, 90.6%) was the most common condition, followed by thromboembolism (n=16, 2.7%) and acute kidney disease or failure (n=13, 2.2%). The average delta was 56.8 (SD 69.7) days between the identification of risk factors by HOPE-CAT and the first date of diagnosis or intervention of a related condition reported in the EHR. HOPE-CAT showed the strongest performance in early risk detection of myocardial infarction at a delta of 65.7 (SD 81.4) days. CONCLUSIONS: This study provides additional evidence to support ML in obstetrical patients to enhance the early detection of cardiovascular conditions during pregnancy. ML can synthesize multiday patient presentations to enhance provider decision-making and potentially reduce maternal health disparities.

Opioid use and opioid use disorder in mono and dual-system users of veteran affairs medical centers.

Introduction: Efforts to achieve opioid guideline concordant care may be undermined when patients access multiple opioid prescription sources. Limited data are available on the impact of dual-system sources of care on receipt of opioid medications. Objective: We examined whether dual-system use was associated with increased rates of new opioid prescriptions, continued opioid prescriptions and diagnoses of opioid use disorder (OUD). We hypothesized that dual-system use would be associated with increased odds for each outcome. Methods: This retrospective cohort study was conducted using Veterans Administration (VA) data from two facilities from 2015 to 2019, and included active patients, defined as Veterans who had at least one encounter in a calendar year (2015-2019). Dual-system use was defined as receipt of VA care as well as VA payment for community care (non-VA) services. Mono users were defined as those who only received VA services. There were 77,225 dual-system users, and 442,824 mono users. Outcomes were three binary measures: new opioid prescription, continued opioid prescription (i.e., received an additional opioid prescription), and OUD diagnosis (during the calendar year). We conducted a multivariate logistic regression accounting for the repeated observations on patient and intra-class correlations within patients. Results: Dual-system users were significantly younger than mono users, more likely to be women, and less likely to report white race. In adjusted models, dual-system users were significantly more likely to receive a new opioid prescription during the observation period [Odds ratio (OR) = 1.85, 95% confidence interval (CI) 1.76-1.93], continue prescriptions (OR = 1.24, CI 1.22-1.27), and to receive an OUD diagnosis (OR = 1.20, CI 1.14-1.27). Discussion: The prevalence of opioid prescriptions has been declining in the US healthcare systems including VA, yet the prevalence of OUD has not been declining at the same rate. One potential problem is that detailed notes from non-VA visits are not immediately available to VA clinicians, and information about VA care is not readily available to non-VA sources. One implication of our findings is that better health system coordination is needed. Even though care was paid for by the VA and presumably closely monitored, dual-system users were more likely to have new and continued opioid prescriptions.

Changes in Thyroid Metabolites after Liothyronine Administration: A Secondary Analysis of Two Clinical Trials That Incorporated Pharmacokinetic Data.

We examined relationships between thyroid hormone (TH) metabolites in humans by measuring 3,5-diiodothyronine (3,5-T2) and 3-iodothyronamine (3-T1AM) levels after liothyronine administration. In secondary analyses, we measured 3,5-T2 and 3-T1AM concentrations in stored samples from two clinical trials. In 12 healthy volunteers, THs and metabolites were documented for 96 h after a single dose of 50 mcg liothyronine. In 18 patients treated for hypothyroidism, levothyroxine therapy was replaced by daily dosing of 30-45 mcg liothyronine. Analytes were measured prior to the administration of liothyronine weekly for 6 weeks, and then hourly for 8 h after the last liothyronine dose of the study. In the weekly samples from the hypothyroid patients, 3,5-T2 was higher by 0.033 nmol/L with each mcg/dL increase in T4 and 0.24 nmol/L higher with each ng/dL increase in FT4 (p-values = 0.007, 0.0365). In hourly samples after the last study dose of liothyronine, patients with T3 values higher by one ng/dL had 3-T1AM values that were lower by 0.004 nmol/L (p-value = 0.0473); patients with 3,5-T2 higher by one nmol/L had 3-T1AM values higher by 2.45 nmol/L (p-value = 0.0044). The positive correlations between weekly trough levels of 3,5-T2 and T4/FT4 during liothyronine therapy may provide insight into 3,5-T2 production, possibly supporting some production of 3,5-T2 from endogenous T4, but not from exogenous liothyronine. In hourly sampling after liothyronine administration, the negative correlation between T3 levels and 3-T1AM, but positive correlation between 3,5-T2 levels and 3-T1AM could support the hypothesis that 3-T1AM production occurs via 3,5-T2 with negative regulation by T3.

Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial.

BACKGROUND: Heart failure (HF) is a serious health condition, associated with high health care costs, and poor outcomes. Patient empowerment and self-care are a key component of successful HF management. The emergence of telehealth may enable providers to remotely monitor patients' statuses, support adherence to medical guidelines, improve patient wellbeing, and promote daily awareness of overall patients' health. OBJECTIVE: To assess the feasibility of a voice activated technology for monitoring of HF patients, and its impact on HF clinical outcomes and health care utilization. METHODS: We conducted a randomized clinical trial; ambulatory HF patients were randomized to voice activated technology or standard of care (SOC) for 90 days. The system developed for this study monitored patient symptoms using a daily survey and alerted healthcare providers of pre-determined reported symptoms of worsening HF. We used summary statistics and descriptive visualizations to study the alerts generated by the technology and to healthcare utilization outcomes. RESULTS: The average age of patients was 54 years, the majority were Black and 45% were women. Almost all participants had an annual income below $50,000. Baseline characteristics were not statistically significantly different between the two arms. The technical infrastructure was successfully set up and two thirds of the invited study participants interacted with the technology. Patients reported favorable perception and high comfort level with the use of voice activated technology. The responses from the participants varied widely and higher perceived symptom burden was not associated with hospitalization on qualitative assessment of the data visualization plot. Among patients randomized to the voice activated technology arm, there was one HF emergency department (ED) visit and 2 HF hospitalizations; there were no events in the SOC arm. CONCLUSIONS: This study demonstrates the feasibility of remote symptom monitoring of HF patients using voice activated technology. The varying HF severity and the wide range of patient responses to the technology indicate that personalized technological approaches are needed to capture the full benefit of the technology. The differences in health care utilization between the two arms call for further study into the impact of remote monitoring on health care utilization and patients' wellbeing.

Risk of Cancer in a Community Exposed to Per- and Poly-Fluoroalkyl Substances.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) emissions from a plastic coating industrial source in southern New Hampshire (NH) have contaminated at least 65 square miles of drinking water. Prior research indicates that high levels of PFAS are associated with a variety of adverse health outcomes, including an increased risk of cancer. Reports indicate that mean blood serum levels of perfluorooctanoic acid (PFOA), one type of PFAS, in residents of the exposed community are more than 2 times greater than the mean blood serum level in the US. Merrimack public water supply customers also have higher average blood levels of perfluorooctane sulfonic acid (PFOS) and perfluorohexane sulfonic acid (PFHxS) than the time-matched US average. A 2018 report concludes that the incidence rate of cancer in Merrimack does not exceed the incidence rate of cancer in NH in general. However, prior reporting on the risk of cancer in Merrimack is compared only to a state-wide metric influenced by the Merrimack cancer incidence. METHODS: Our ecological study compared the risk in Merrimack, NH residents for 24 types of cancer between 2005 and 2014, targeted in a previous study, and all-cause cancers, to US national cancer rates and cancer rates in demographically similar towns in New England. Four New England "unexposed towns" were chosen based on demographic similarity to Merrimack, with no documented PFAS exposure in water supplies. We utilized unadjusted logistical regression to approximate risk ratios (RR) and 95% confidence intervals (CI) assessing the risk of cancer in Merrimack NH to each of the 4 comparator communities, the pooled comparator variable, and national average incidence. RESULTS: Residents of Merrimack, NH experienced a significantly higher risk of thyroid cancer (RR = 1.47, 95% CI 1.12-1.93), bladder cancer (RR = 1.45, 95% CI 1.17-1.81), esophageal cancer (RR = 1.71, 95% CI 1.1-2.65), and mesothelioma (RR = 2.41, 95% CI 1.09-5.34), compared to national averages. Our work also suggests that Merrimack residents experienced a significantly higher risk of all-cause cancer (RR = 1.34, 95% CI 1.25-1.43), thyroid cancer (RR = 1.69, 95% CI 1.19-2.39), colon cancer (RR = 1.27, 95% CI 1.02-1.57), and prostate cancer (RR = 1.36, 95% CI 1.15, 1.6) compared with similarly exposed New England communities. Our results indicate that residents of Merrimack may also have a significantly lower risk of some site-specific cancers compared to national averages, including lower risk of prostate cancer (RR = 0.57, 95% CI 0.5-0.66), female breast cancer (RR = 0.60, 95% CI 0.52-0.68), ovarian cancer (RR = 0.52, 95% CI 0.33-0.84) and cervical cancer (RR = 0.29, 95% CI 0.12-0.69). CONCLUSION: Merrimack residents experienced a significantly higher risk of at least 4 types of cancer over 10 years between 2005 and 2014. Merrimack is a community with documented PFAS contamination of drinking water in public and private water sources. Results indicate that further research is warranted to elucidate if southern NH residents experience increased risk for various types of cancer due to exposure to PFAS contamination.

Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study.

BACKGROUND: Health care data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes. However, the differences that exist in each individual's health records, combined with the lack of health data standards, in addition to systemic issues that render the data unreliable and that fail to create a single view of each patient, create challenges for ML. Although these problems exist throughout health care, they are especially prevalent within maternal health and exacerbate the maternal morbidity and mortality crisis in the United States. OBJECTIVE: This study aims to demonstrate that patient records extracted from the electronic health records (EHRs) of a large tertiary health care system can be made actionable for the goal of effectively using ML to identify maternal cardiovascular risk before evidence of diagnosis or intervention within the patient's record. Maternal patient records were extracted from the EHRs of a large tertiary health care system and made into patient-specific, complete data sets through a systematic method. METHODS: We outline the effort that was required to define the specifications of the computational systems, the data set, and access to relevant systems, while ensuring that data security, privacy laws, and policies were met. Data acquisition included the concatenation, anonymization, and normalization of health data across multiple EHRs in preparation for their use by a proprietary risk stratification algorithm designed to establish patient-specific baselines to identify and establish cardiovascular risk based on deviations from the patient's baselines to inform early interventions. RESULTS: Patient records can be made actionable for the goal of effectively using ML, specifically to identify cardiovascular risk in pregnant patients. CONCLUSIONS: Upon acquiring data, including their concatenation, anonymization, and normalization across multiple EHRs, the use of an ML-based tool can provide early identification of cardiovascular risk in pregnant patients.

Applying diagnosis support systems in electronic health records to identify wild-type transthyretin amyloid cardiomyopathy risk.

Aim: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM) is frequently misdiagnosed, and delayed diagnosis is associated with substantial morbidity and mortality. At three large academic medical centers, combinations of phenotypic features were implemented in electronic health record (EHR) systems to identify patients with heart failure at risk for ATTRwt-CM. Methods: Phenotypes/phenotype combinations were selected based on strength of correlation with ATTRwt-CM versus non-amyloid heart failure; different clinical decision support and reporting approaches and data sources were evaluated on Cerner and Epic EHR platforms. Results: Multiple approaches/sources showed potential usefulness for incorporating predictive analytics into the EHR to identify at-risk patients. Conclusion: These preliminary findings may guide other medical centers in building and implementing similar systems to improve recognition of ATTRwt-CM in patients with heart failure.

Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration.

Despite acknowledging the value of clinical decision support systems (CDSS) in identifying risk for sepsis-induced health deterioration in-hospitalized patients, the relationship between display features, decision maker characteristics, and recognition of risk by the clinical decision maker remains an understudied, yet promising, area. The objective of this study is to explore the relationship between CDSS display design and perceived clinical risk of in-hospital mortality associated with sepsis. The study utilized data collected through in-person experimental sessions with 91 physicians from the general medical and surgical floors who were recruited across 12 teaching hospitals within the United States. Results of descriptive and statistical analyses provided evidence supporting the impact of display configuration and clinical case severity on perceived risk associated with in-hospital mortality. Specifically, findings showed that a high level of information (represented by the Predisposition, Infection, Response and Organ dysfunction (PIRO) score) and Figure display (as opposed to Text or baseline) increased awareness to recognizing the risk for in-hospital mortality of hospitalized sepsis patients. A CDSS display that synthesizes the optimal features associated with information level and design elements has the potential to enhance the quantification and communication of clinical risk in complex health conditions beyond sepsis.

Increased Access to Cardiac Surgery Did Not Improve Outcomes: Early Look Into Medicaid Expansion.

BACKGROUND: Cardiac surgery utilization has increased after passage of the Affordable Care Act. This multistate study examined whether changes in access after Medicaid expansion (ME) have led to improved outcomes, overall and particularly among ethnoracial minorities. METHODS: State Inpatient Databases were used to identify nonelderly adults (ages 18-64 years) who underwent coronary artery bypass grafting, aortic valve replacement, mitral valve replacement, or mitral valve repair in 3 expansion (Kentucky, New Jersey, Maryland) vs 2 nonexpansion states (North Carolina, Florida) from 2012 to 2015. Linear and logistic interrupted time series were used with 2-way interactions and adjusted for patient-level, hospital-level, and county-level factors to compare trends and instantaneous changes at the point of ME implementation (quarter 1 of 2014) for mortality, length of stay, and elective status. Interrupted time series models estimated expansion effect, overall and by race-ethnicity. RESULTS: Analysis included 22 038 cardiac surgery patients from expansion states and 33 190 from nonexpansion states. In expansion states, no significant trend changes were observed for mortality (odds ratio, 1.01; P = .83) or length of stay (ß = -0.05, P = .20), or for elective surgery (odds ratio, 1.00; P = .91). There were similar changes seen in nonexpansion states. Among ethnoracial minorities, ME did not impact outcomes or elective status. CONCLUSIONS: Despite an increase in cardiac surgery utilization after ME, outcomes remained unchanged in the early period after implementation, overall and among ethnoracial minorities. Future research is needed to confirm long-term trends and examine reasons behind this lack of improved outcomes.

Sugar-Sweetened Beverage Consumption and Caries Prevalence in Underserved Black Adolescents.

Purpose: The purpose of this study was to examine the association between sugar-sweetened beverage (SSB) consumption and dental caries prevalence among underserved Black adolescents. Methods: This was a cross-sectional study of 545 Black adolescents, ages 12 to 17 years, who participated in the Howard Meharry Adolescent Caries Study (HMACS). The outcome was dental caries prevalence, measured using the decayed, missing, and filled permanent tooth surfaces (DMFS) index. Participants were recruited from middle and high schools in Washington, D.C., USA, and Nashville, Tenn., USA. Questionnaires were used to assess beverage intake, demographic, and health-related behavioral characteristics. The multivariable analysis used marginalized zero-inflated Poisson regression (MZIP) stratified by toothbrushing frequency to estimate adjusted mean caries ratios (MRs), adjusted odds ratios (ORs), and 95 percent confidence intervals (95 percent CIs). Results: The mean age of the participants was 14.1 years. Participants in the highest quartile for SSB consumption had a higher caries ratio than those in the lowest quartile [MR equals (=) 1.59, 95 percent CI equals 1.15 to 2.20] and a lower odds of not being at risk for caries (OR = 0.24, 95 percent CI = 0.09 to 0.61). These findings were only observed among those brushing once a day or less (n =202). Conclusions: Among Black adolescents in this study who brushed once a day or less, high levels of sugar-sweetened beverage consumption were associated with greater caries prevalence and a reduced likelihood of remaining caries-free than those with lower levels of SSB consumption. Future studies will focus on interventions to reduce SSB consumption.

Rate of Force Development Is Related to Maximal Force and Sit-to-Stand Performance in Men With Stages 3b and 4 Chronic Kidney Disease.

INTRODUCTION: The primary aims of the present study were to assess the relationships of early (0-50 ms) and late (100-200 ms) knee extensor rate of force development (RFD) with maximal voluntary force (MVF) and sit-to-stand (STS) performance in participants with chronic kidney disease (CKD) not requiring dialysis. METHODS: Thirteen men with CKD (eGFR = 35.17 ±.5 ml/min per 1.73 m2, age = 70.56 ±.4 years) and 12 non-CKD men (REF) (eGFR = 80.31 ± 4.8 ml/min per 1.73 m2, age = 70.22 ±.9 years) performed maximal voluntary isometric contractions to determine MVF and RFD of the knee extensors. RFD was measured at time intervals 0-50 ms (RFD0-50) and 100-200 ms (RFD100-200). STS was measured as the time to complete five repetitions. Measures of rectus femoris grayscale (RF GSL) and muscle thickness (RF MT) were obtained via ultrasonography in the CKD group only. Standardized mean differences (SMD) were used to examine differences between groups. Bivariate relationships were assessed by Pearson's product moment correlation. RESULTS: Knee extensor MVF adjusted for body weight (CKD=17.14 ±.1 N·kg0.67, REF=21.55 ±.3 N·kg0.67, SMD = 0.79) and STS time (CKD = 15.93 ±.4 s, REF = 12.23 ±.7 s, SMD = 1.03) were lower in the CKD group than the REF group. Absolute RFD100-200 was significantly directly related to adjusted MVF in CKD (r = 0.56, p = 0.049) and REF (r = 0.70, p = 0.012), respectively. STS time was significantly inversely related to absolute (r = -0.75, p = 0.008) and relative RFD0-50 (r = -0.65, p = 0.030) in CKD but not REF (r = 0.08, p = 0.797; r = 0.004, p = 0.991). Significant inverse relationships between RF GSL adjusted for adipose tissue thickness and absolute RFD100-200 (r =-0.59, p = 0.042) in CKD were observed. CONCLUSION: The results of the current study highlight the declines in strength and physical function that occur in older men with CKD stages 3b and 4 not requiring dialysis. Moreover, early RFD was associated with STS time in CKD while late RFD was associated MVF in both CKD and REF. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT03160326 and NCT02277236.

Food Insecurity, Meal Behaviors, Beverage Intake, and Body Mass Index in Underserved Adolescents.

OBJECTIVE: Associations between food insecurity, meal patterns, beverage intake, and body mass index (BMI) were investigated using data from the Howard Meharry Adolescent Caries Study. METHODS: Secondary analyses of food security status used the Wilcoxon rank sum, chi-square, and Fisher's exact tests. RESULTS: The group of adolescents (n=627) was 42.1% male, 14.2±1.9 years, 86.9% African American, and 19.9% food-insecure. Meal frequency, meal structure, most beverage intake, and BMI did not differ by food-security status. Adolescents from Washington, DC were more likely to be food insecure than adolescents from Nashville, TN (P=0.003). Most had unstructured meal patterns and irregular breakfast intake. Median milk intake was below and sugar-sweetened beverage intake above dietary recommendations. CONCLUSIONS: This study extends our knowledge concerning food insecurity in urban African American adolescents and suggests public health initiatives designed to encourage meal structure, increase milk intake, and reduce sugar-sweetened beverage intake can improve diet quality of underserved youth.

Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study.

BACKGROUND: Heart failure (HF) is associated with high mortality rates and high costs, and self-care is crucial in the management of the condition. Telehealth can promote patients' self-care while providing frequent feedback to their health care providers about the patient's compliance and symptoms. A number of technologies have been considered in the literature to facilitate telehealth in patients with HF. An important factor in the adoption of these technologies is their ease of use. Conversational agent technologies using a voice interface can be a good option because they use speech recognition to communicate with patients. OBJECTIVE: The aim of this paper is to study the engagement of patients with HF with voice interface technology. In particular, we investigate which patient characteristics are linked to increased technology use. METHODS: We used data from two separate HF patient groups that used different telehealth technologies over a 90-day period. Each group used a different type of voice interface; however, the scripts followed by the two technologies were identical. One technology was based on Amazon's Alexa (Alexa+), and in the other technology, patients used a tablet to interact with a visually animated and voice-enabled avatar (Avatar). Patient engagement was measured as the number of days on which the patients used the technology during the study period. We used multiple linear regression to model engagement with the technology based on patients' demographic and clinical characteristics and past technology use. RESULTS: In both populations, the patients were predominantly male and Black, had an average age of 55 years, and had HF for an average of 7 years. The only patient characteristic that was statistically different (P=.008) between the two populations was the number of medications they took to manage HF, with a mean of 8.7 (SD 4.0) for Alexa+ and 5.8 (SD 3.4) for Avatar patients. The regression model on the combined population shows that older patients used the technology more frequently (an additional 1.19 days of use for each additional year of age; P=.004). The number of medications to manage HF was negatively associated with use (-5.49; P=.005), and Black patients used the technology less frequently than other patients with similar characteristics (-15.96; P=.08). CONCLUSIONS: Older patients' higher engagement with telehealth is consistent with findings from previous studies, confirming the acceptability of technology in this subset of patients with HF. However, we also found that a higher number of HF medications, which may be correlated with a higher disease burden, is negatively associated with telehealth use. Finally, the lower engagement of Black patients highlights the need for further study to identify the reasons behind this lower engagement, including the possible role of social determinants of health, and potentially create technologies that are better tailored for this population.

The contrasting short-term effects of COVID-19 on dental care practices in the United States.

OBJECTIVES: The study utilized a cross-sectional survey to determine the short-term effects of the COVID-19 pandemic on dental care practices. The authors hypothesized that the effects of the pandemic would indicate differences based on the ethnicity of the participating dentist. MATERIALS AND METHODS: The survey was available online between June 1, 2020 and July 10, 2020, a period when many dental offices remained closed, and for the most part, unable to provide non-emergency dental care. The link to the survey was made available to dentists through outreach to several national dental organizations. Descriptive statistics summarized the characteristics of the entire sample and Fisher's exact test was used to examine respondents' answers stratified by ethnicity using frequencies and percentages. RESULTS: All ethnic groups reported decreased revenue and African American dentists were the least likely to report a decrease in revenue compared to White and Other ethnic groups (84.2%, 87.2% and 92.9%). African American dentists were the most likely to report willingness to contribute to a task force to address the new challenges resulting from COVID-19 when compared to White and Other ethnic groups (46.4%, 18.8%, and 29.6%, respectively). African American dentists were more likely to indicate a need for a stronger connection to academic programs as compared to White or Other dentists in order to address current and future challenges (12.3%, 0.0%, and 9.1%). CONCLUSION: The COVID-19 pandemic has affected dental practices differently, highlighting racial disparities, and strategies that factor in the race or ethnicity of the dentist and the communities in which they practice need to be considered to ensure that underserved communities receive needed resources.

Cardiac Surgery Utilization Across Vulnerable Persons After Medicaid Expansion.

BACKGROUND: Medicaid expansion (ME) under the Affordable Care Act has reduced the number of uninsured patients, although its preferential effects on vulnerable populations have been mixed. This study examined whether ME preferentially improved cardiac surgery use by insurance strata, race, and income level. METHODS: Non-elderly adults (aged 18-64 years) who underwent coronary artery bypass grafting, aortic valve replacement, mitral valve replacement, or mitral valve repair were identified in the State Inpatient Databases for 3 expansion states (Kentucky, New Jersey, and Maryland) and 2 non-expansion states (North Carolina and Florida) from 2012 to the third quarter of 2015. We used adjusted Poisson interrupted time series to determine the impact of ME on cardiac surgery use for Medicaid or uninsured (MCD/UIS) patients, racial and ethnic minorities, and individuals from low-income areas. RESULTS: In expansion states, use among non-White MCD/UIS patients had a positive trend after ME (2.3%/quarter; P = .156), whereas use for White MCD/UIS patients fell (-1.7%/quarter; P = .117). In contrast, use among non-White MCD/UIS in non-expansion states decreased by 4.4% (P < .001) which was a greater decline than among White MCD/UIS patients (-1.8%/quarter; P = .057). There was no substantial effect of ME on cardiac surgery use for MCD/UIS patients from low- versus high-income areas. CONCLUSIONS: These findings demonstrate that the use of cardiac surgical procedures was generally unchanged after ME; however, nonsignificant trend differences suggest a narrowing gap between vulnerable and non-vulnerable groups in ME states. These preliminary findings help describe the association of insurance coverage as a driver of cardiac surgery use among vulnerable patients.

Unintended Consequences of Health Care Reform: Impact of Changes in Payor Mix on Patient Safety Indicators.

OBJECTIVE: To evaluate the impact of the Affordable Care Act's Medicaid expansion on patient safety metrics at the hospital level by expansion status, across varying levels of safety-net burden, and over time. SUMMARY BACKGROUND DATA: Medicaid expansion has raised concerns over the influx of additional medically and socially complex populations on hospital systems. Whether increases in Medicaid and uninsured payor mix impact hospital performance metrics remains largely unknown. We sought to evaluate the effects of expansion on Centers for Medicare and Medicaid Services-endorsed Patient Safety Indicators (PSI-90). METHODS: Three hundred fifty-eight hospitals were identified using State Inpatient Databases (2012-2015) from 3 expansions (KY, MD, NJ) and 2 nonexpansion (FL, NC) states. PSI-90 scores were calculated using Agency for Healthcare Research and Quality modules. Hospital Medicaid and uninsured patients were categorized into safety-net burden (SNB) quartiles. Hospital-level, multivariate linear regression was performed to measure the effects of expansion and change in SNB on PSI-90. RESULTS: PSI-90 decreased (safety improved) over time across all hospitals (-5.2%), with comparable reductions in expansion versus nonexpansion states (-5.9% vs -4.7%, respectively; P = 0.441) and across high SNB hospitals within expansion versus nonexpansion states (-3.9% vs -5.2%, P = 0.639). Pre-ACA SNB quartile did not predict changes in PSI-90 post-ACA. However, when hospitals increased their SNB by 5%, they incurred significantly more safety events in expansion relative to nonexpansion states (+1.87% vs -14.0%, P = 0.013). CONCLUSIONS: Despite overall improvement in patient safety, increased SNB was associated with increased safety events in expansion states. Accordingly, Centers for Medicare and Medicaid Services measures may unintentionally penalize hospitals with increased SNB following Medicaid expansion.

Radical excision for retroperitoneal soft tissue sarcoma: A national propensity-matched outcomes analysis.

BACKGROUND: Given the rarity of retroperitoneal soft tissue sarcoma, few studies have assessed if radical excision of retroperitoneal soft tissue sarcoma with adjacent organs improves survival outcomes. This propensity score-matched study aimed to evaluate the impact of radical excision versus resection of tumor alone. METHODS: The National Cancer Database 2004 to 2015 was used to assess short- and long-term outcomes of resection of tumor alone versus radical excision (tumor plus ≥1 adjacent organs) via 1:1 propensity-matched analyses. Subgroup analyses included low-grade, high-grade, liposarcoma, leiomyosarcoma, adjacent organ involvement alone, localized tumors alone, and high-volume hospitals (≥10 resections/y). Multivariable logistic regression models identified factors associated with radical excision. RESULTS: Comparison of propensity-matched groups (N = 1,139/group) revealed no significant differences in 30-day mortality, 90-day mortality, or overall survival (for all, P > .580). For all subgroup analyses comparing resection of tumor alone with radical excision, including localized tumors without organ invasion (N = 208/group), there were no identified differences in short- or long-term survival. Although it yielded lower R2 resection rates (P = .007), radical excision was associated with greater mean length of stay (P < .001). CONCLUSION: Radical excision was not associated with improved retroperitoneal soft tissue sarcoma survival irrespective of grade, histology, hospital volume, or adjacent organ involvement. Resection of ostensibly involved adjacent viscera may increase morbidity without survival benefit. These results inform ongoing discussion regarding histology-tailored, situation-specific extent of retroperitoneal soft tissue sarcoma resections.

Trends in the Use of Cardiac Imaging for Women with Newly Diagnosed Breast Cancer.

We investigated time trends and factors associated with the use of cardiac imaging among women with early-stage breast cancer prior to the initiation of treatment. Of 11,732 women ages 24-64, diagnosed with stage I-III breast cancer in 2006-2011, 2550 (22%) received anthracycline-based chemotherapy. Baseline cardiac imaging was used in 79% of patients receiving anthracyclines and increased over time. Of 2277 (20%) women who received non-anthracycline therapy, 16% received cardiac imaging. Women receiving cardiac imaging in non-anthracycline therapy group were more likely to have higher cardiovascular risk, as well as higher cancer stage and worse histological tumor grade suggesting that results of imaging might have influenced the choice of cancer therapy. Our findings indicate the need for cardio-oncology collaboration in identification and treatment of women at high risk for adverse oncology and cardiovascular outcomes.

Variations in Retroperitoneal Soft Tissue Sarcoma Outcomes by Hospital Type: A National Cancer Database Analysis.

PURPOSE: Surgical resection remains the cornerstone of retroperitoneal soft tissue sarcoma (RPS) treatment. Patient- and sarcoma-related factors are well known to influence survival outcomes. The effect of hospital-related factors on long-term survival, however, are not well understood. We sought to assess the relative contribution of hospital-level factors to mortality after surgical treatment of RPS. METHODS AND MATERIALS: The 2004-2015 National Cancer Database was used to identify 10,113 patients who underwent surgical treatment of RPS. Patient-, sarcoma-, hospital-, and treatment-level factors were compared by increasing survival times. Stepwise multivariable Cox regression was performed that controlled for covariates to measure the relative contributions of these factors on overall survival (OS). Effect modification analyses ascertained how hospital type modulates the volume relationship with respect to RPS mortality. RESULTS: Factors predictive of worsening OS were older age, nonprivate insurance, low income, presence of comorbidities, tumor histology, high grade or stage, and R2 resection (for all, P < .05). Increasing hospital surgical volume predicted decreasing risk of death across all survival times. However, analysis by hospital type demonstrated that compared with academic centers, the risk of death at community centers increased significantly as surgical volume increased (hazard ratio, 1.26; 95% CI, 1.03 to 1.53). CONCLUSION: Hospital factors affect mortality after surgical treatment of RPS. Specifically, hospital type alters the surgical volume-outcome relationship for RPS mortality such that community centers perform worse with increasing volumes. Recommendations that higher surgical volume improves outcomes cannot be applied universally and must be re-examined in other complex surgical cancers.