Society for Cardiovascular Magnetic Resonance 2022 Cases of SCMR case series.

"Cases of SCMR" is a case series on the SCMR website (https://www.scmr.org) for the purpose of education. The cases reflect the clinical presentation, and the use of cardiovascular magnetic resonance (CMR) in the diagnosis and management of cardiovascular disease. The 2022 digital collection of cases are presented in this manuscript.

Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination.

Vaccine uptake is critical for mitigating the impact of COVID-19 in the United States, but structural inequities pose a serious threat to progress. Racial disparities in vaccination persist despite the increased availability of vaccines. We ask what factors are associated with such disparities. We combine data from state, federal, and other sources to estimate the relationship between social determinants of health and racial disparities in COVID-19 vaccinations at the county level. Analyzing vaccination data from 19 April 2021, when nearly half of the US adult population was at least partially vaccinated, we find associations between racial disparities in COVID-19 vaccination and median income (negative), disparity in high school education (positive), and vote share for the Republican party in the 2020 presidential election (negative), while vaccine hesitancy is not related to disparities. We examine differences in associations for COVID-19 vaccine uptake as compared with influenza vaccine. Key differences include an amplified role for socioeconomic privilege factors and political ideology, reflective of the unique societal context in which the pandemic has unfolded.

Outcomes of a 3-Year Quality Improvement Study to Improve Advance Care Planning in Patients With Decompensated Cirrhosis.

INTRODUCTION: To report outcomes of a 3-year quality improvement pilot study to improve advance directive (AD) completion. METHODS: The pilot consisted of champions, education, electronic health record templates, and workflow changes. We assessed changes, predictors, and effects of AD completion. RESULTS: The pilot led to greater (8.3%-36%) and earlier AD completion, particularly among those divorced, with alcohol-associated liver disease, and with higher Model of End-Stage Liver Disease-Sodium score. Decedents whose AD specified nonaggressive goals experienced lower hospital lengths of stay. DISCUSSION: Advance care planning initiatives are feasible and may reduce health care utilization among decedents requesting less aggressive care.

Aiding the prescriber: developing a machine learning approach to personalized risk modeling for chronic opioid therapy amongst US Army soldiers.

The opioid epidemic is a major policy concern. The widespread availability of opioids, which is fueled by physician prescribing patterns, medication diversion, and the interaction with potential illicit opioid use, has been implicated as proximal cause for subsequent opioid dependence and mortality. Risk indicators related to chronic opioid therapy (COT) at the point of care may influence physicians' prescribing decisions, potentially reducing rates of dependency and abuse. In this paper, we investigate the performance of machine learning algorithms for predicting the risk of COT. Using data on over 12 million observations of active duty US Army soldiers, we apply machine learning models to predict the risk of COT in the initial months of prescription. We use the area under the curve (AUC) as an overall measure of model performance, and we focus on the positive predictive value (PPV), which reflects the models' ability to accurately target military members for intervention. Of the many models tested, AUC ranges between 0.83 and 0.87. When we focus on the top 1% of members at highest risk, we observe a PPV value of 8.4% and 20.3% for months 1 and 3, respectively. We further investigate the performance of sparse models that can be implemented in sparse data environments. We find that when the goal is to identify patients at the highest risk of chronic use, these sparse linear models achieve a performance similar to models trained on hundreds of variables. Our predictive models exhibit high accuracy and can alert prescribers to the risk of COT for the highest risk patients. Optimized sparse models identify a parsimonious set of factors to predict COT: initial supply of opioids, the supply of opioids in the month being studied, and the number of prescriptions for psychotropic medications. Future research should investigate the possible effects of these tools on prescriber behavior (e.g., the benefit of clinician nudging at the point of care in outpatient settings).

Role of cardiovascular magnetic resonance imaging in COVID-19 recovered patients: A short-term follow-up study.

OBJECTIVE: Cardiac involvement in recovered COVID-19 patients assessed by cardiac magnetic resonance imaging (MRI). METHODS: Subjects recently recovered from COVID-19 and with an abnormal left ventricular global longitudinal strain were enrolled. Cardiac MRI in all the enrolled subjects was done at baseline (within 30-90 days following recovery from COVID-19) with a follow-up scan at 6 months in individuals with an abnormal baseline scan. Additionally, 20 age-and sex-matched individuals were enrolled as healthy controls (HCs). RESULTS: All the 30 enrolled subjects were symptomatic during active COVID-19 disease and were categorized as mild: 11 (36.7%), moderate: 6 (20%), and severe: 13 (43.3%). Of the 30 patients, 16 (53.3%) had abnormal CMR findings. Myocardial edema was reported in 12 (40%) patients while 10 (33.3%) had late gadolinium enhancement (LGE). No difference was observed in terms of conventional left ventricular (LV) parameters; however, COVID-19-recovered patients had significantly lower right ventricular (RV) ejection fraction, RV stroke volume, and RV cardiac index compared to HCs. Follow-up scan was abnormal in 4/16 (25%) with LGE persisting in three patients (who had severe COVID-19 [3/4;75%]). Subjects with severe COVID-19 had a greater frequency of LGE (53.8%) and myocardial edema (61.5%) as compared to mild and moderate cases. Myocardial T1 (1284 ± 43.8 ms vs. 1147.6 ± 68.4 ms; p < .0001) and T2 values (50.8 ± 16.7 ms vs. 42.6 ± 3.6 ms; p = .04) were significantly higher in post COVID-19 subjects compared to HCs. Similarly, T1 and T2 values of severe COVID-19 patients were significantly higher compared to mild and moderate cases. CONCLUSIONS: An abnormal CMR was seen in half of the recovered patients with persistent abnormality in one-fourth at 6 months. Our study suggests a need for closer follow-up among recovered subjects in order to evaluate for long-term cardiovascular sequelae. COVID-19 causes structural changes in the myocardium in a small segment of patients with partial spontaneous resolution.

Emerging spectrum of post-COVID-19 syndrome.

'Post-COVID-19 syndrome' refers to symptoms in the convalescent phase following initial COVID-19 infection. This term encompasses a wide array of presentation involving lungs, heart and the neuromuscular system. Pulmonary manifestations include post-COVID-19 fibrosis, which is akin to post acute respiratory distress syndrome fibrosis and may reflect the permanent damage to the lungs following an initial bout of infection. Cardiovascular system is often involved, and the presentation can be in terms of acute coronary syndrome, myocarditis and heart failure. Clinical manifestations are often varied and non-specific, which entails a detailed workup and a multidisciplinary approach. Post-COVID-19 syndrome adds to the overall disease morbidity and leads to a prolonged hospital stay, greater healthcare utilisation and loss of productivity marring the country's dwindling economy. Thus, it is imperative that post-COVID-19 syndrome be prevented and identified early followed by a prompt treatment.

Direct relationship between transvalvular velocity and cardiac dysfunction, morbidity, and mortality in patients with aortic stenosis.

OBJECTIVE: Current guidelines recommend intervention in subjects with severe symptomatic aortic stenosis (AS), even though any degree of AS is associated with a higher risk of mortality. We investigated the association between the degree of AS, delineated by transvalvular flow velocity, and patient morbidity and mortality. METHODS: Medically managed patients aged 40-95 years with maximum flow velocity (Vmax ) by echocardiography between 2013 and 2018 were stratified into five groups (A-E) based on the 75th, 90th, 97.5th, and the 99th percentiles of Vmax distribution. Patient characteristics, cardiac structural changes, and end-organ disease were compared using Kruskal-Wallis and Cochran-Armitage tests. Mortality over a median of 2.8 (1.52-4.8) years was compared using Kaplan-Meier curves and risk estimates were derived from the Cox model. RESULTS: The Vmax was reported in 37,131 patients. There was a steady increase (from Group A towards E) in age, Caucasian race, structural cardiac changes, end-organ morbidities, and all-cause mortality. In reference to Group A, there as an increased risk of mortality in Groups B (hazard ratio [HR] = 1.3; confidence interval [CI]: 1.2-1.35; p < .0001), C (HR = 1.5; CI: 1.4-1.6; p < .0001), and D (HR = 1.8; CI: 1.6-2; p < .0001), with an exponential increase in Group E (HR = 2.5; CI: 2.2-2.8; p < .0001). CONCLUSIONS: A direct, strong correlation exists between the degree of AS and cardiac structural changes and mortality. Patients with Vmax ≥ 97.5th percentile (≥3.2 m/s) might benefit from early intervention.

Totally anomalous "double drainage" of pulmonary venous confluence: case report with embryological aspects.

Double drainage of the confluence of all four pulmonary veins is extremely rare. We present the image findings in a child with double drainage of the pulmonary venous confluence into the coronary sinus and left superior caval vein with co-existent right superior caval venous stenosis.

COVID-19 Antibodies as Predictor of Severe Dengue among Hospitalized Children with Dengue Illness in the Post-third-wave Period of COVID-19 Infection in India.

BACKGROUND: There were widespread unconfirmed reports about the increased severity of dengue post-second wave of the COVID-19 pandemic in India. It is known that a second dengue infection with a different strain in an individual can trigger antibody-dependent enhancement (ADE). A similar phenomenon is hypothesized for severe COVID-19 infection since both dengue and COVID-19 are viral diseases with different and varying strains. However, much research is needed to confirm this hypothesis. In this context, we intended to assess the severity of dengue illness in relation to previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, possibly the role of COVID-19 antibodies as an early predictor of severe dengue illness. OBJECTIVE: To assess the utility of COVID-19 antibodies for early identification of severe dengue illness among children in the post-third-wave period of COVID-19 infection in India. MATERIALS AND METHODS: All hospitalized children with dengue illness were categorized as severe (shock and/or hemorrhage and/or multi-organ dysfunction) and non-severe dengue illness (dengue with or without warning signs) as per WHO definition. COVID-19 antibody titers were estimated in both groups. Clinical features and seroprevalence of COVID-19 antibodies were compared in both groups. RESULT: A total of 31 children were studied (13 severe and 18 non-severe dengue illnesses). The most common symptoms prior to presenting to the hospital included fever (100% in both groups), vomiting (85% in severe and 63% in non-severe), abdominal pain (85% in severe and 50% in non-severe), poor feeding (54% in severe and 28% in non-severe), and skin rashes (15% in severe and none in non-severe). The mean duration from the onset of fever to the first hospital visit was 4.6 days in severe illness and 5.3 days in non-severe dengue illness. The mean duration of hospitalization was 9.7 days in severe dengue illness and 4.1 days in non-severe dengue illness. While 92.3% of all severe dengue had significantly higher COVID-19 antibody titers, it was found elevated only in 44.4% of the children with non-severe dengue illness (p-value 0.0059; Yates' corrected p-value 0.0179). CONCLUSION: Clinical symptoms prior to presenting to the hospital were fever, vomiting, abdominal pain, poor oral feeding, and skin rashes. While fever, vomiting, and abdominal pain were seen commonly in both severe and non-severe dengue illnesses, the presence of skin rash during febrile phase is associated with severe dengue illness only. Hospitalized children having severe dengue had increased seroprevalence of COVID-19 antibodies (92.3%) compared to children with non-severe dengue (44.4%). However, there is no corelation of the severity of dengue illness with absolute values of COVID-19 antibody levels. Therefore, the presence of COVID-19 antibodies (previous COVID-19 infection) can be a predictor of severe illness in children with dengue especially if associated with poor oral feeding and skin rashes. The limitation of the study is its lesser sample size to conclude any definitive statement; nevertheless, the study paves way for a similar cohort of a larger sample size to draw conclusions.

Market segmentation of South African adolescent girls and young women to inform HIV prevention product marketing strategy: A mixed methods study.

The uptake of and adherence to HIV prevention products in South Africa has not achieved widespread success. This study aimed to develop a holistic understanding of the psychographics of adolescent girls and young women in South Africa, a primary audience for HIV prevention products, in order to inform market segmentation and marketing strategies. Extensive ethnographic analyses were complemented with a survey (n = 1,500) centered on personal care product journeys. Clustering and qualitative methods yielded six segments with measurable differences, and revealed common themes surrounding empowerment and self-determination, patriarchy, and misinformation risk. The findings enable targeted approaches for HIV prevention product campaigns.

Isolated single coronary artery from nonadjacent sinus of Valsalva.

We present the computed tomography angiogram images of a 43-year-old lady with an isolated single coronary artery arising from the nonadjacent sinus of aortic root.

Numerical investigation of fractional-fractal Boussinesq equation.

Fractal nature is found in many real world problems. Fractured aquifers, in which groundwater occurs, are an example of fractal geometry/nature. In this paper, we make an attempt to develop a space time fractional-fractal Boussinesq equation. For numerical approximation of the developed fractional-fractal Boussinesq equation, Crank-Nicolson finite difference scheme is applied. Numerical simulation of the solution of Boussinesq equation is depicted graphically for different values of fractal dimensions and fractional order which shows applicability of the developed model to groundwater flow in fractured media. Stability and the convergence conditions of the Crank-Nicolson scheme are also investigated.

Electronic Health Record Implementation Findings at a Large, Suburban Health and Human Services Department.

OBJECTIVE: Evaluate an electronic health record (EHR) implementation across a large public health department to better understand and improve implementation effectiveness of EHRs in public health departments. DESIGN: A survey based on Consolidated Framework for Implementation Research constructs was administered to staff before and after implementation of an EHR. SETTING: Large suburban county department of health and human services that provides clinical, behavioral, social, and oral health services. PARTICIPANTS: Staff across 4 program areas completed the survey prior to EHR implementation (n = 331, June 2014) and 3 months post-EHR final implementation (n = 229, December 2015). INTERVENTION: Electronic health record MAIN OUTCOME MEASURES:: Constructs were validated using confirmatory factor analysis and included information strengths and information gaps in the current environment; EHR impacts; ease of use; future use intentions; usefulness; knowledge of system; and training. Paired t tests and Wilcoxon signed rank tests of a matched sample were performed to compare the pre-/postrespondent scores. RESULTS: A majority of user perceptions and expectations showed a significant (P < .05) decline 3 months postimplementation as compared with the baseline with variation by service area and construct. Staff perceived the EHR to be less useful and more complex, provide fewer benefits, and reduce information access shortly after implementation. CONCLUSIONS: Electronic health records can benefit public health practices in many ways; however, public health departments will face significant challenges incorporating EHRs, which are typically designed for non-public health settings, into the public health workflow. Electronic health record implementation recommendations for health departments are provided. When implementing an EHR in a public health setting, health departments should provide extensive preimplementation training opportunities, including EHR training tailored to job roles, competencies, and tasks; assess usability and specific capabilities at a more granular level as part of procurement processes and consider using contracting language to facilitate usability, patient safety, and related evaluations to enhance effectiveness and efficiencies and make results public; apply standard terminologies, processes, and data structures across different health department service areas using common public health terminologies; and craft workforce communication campaigns that balance potential expected benefits with realistic expectations.

How Online Quality Ratings Influence Patients' Choice of Medical Providers: Controlled Experimental Survey Study.

BACKGROUND: In recent years, the information environment for patients to learn about physician quality is being rapidly changed by Web-based ratings from both commercial and government efforts. However, little is known about how various types of Web-based ratings affect individuals' choice of physicians. OBJECTIVE: The objective of this research was to measure the relative importance of Web-based quality ratings from governmental and commercial agencies on individuals' choice of primary care physicians. METHODS: In a choice-based conjoint experiment conducted on a sample of 1000 Amazon Mechanical Turk users in October 2016, individuals were asked to choose their preferred primary care physician from pairs of physicians with different ratings in clinical and nonclinical aspects of care provided by governmental and commercial agencies. RESULTS: The relative log odds of choosing a physician increases by 1.31 (95% CI 1.26-1.37; P<.001) and 1.32 (95% CI 1.27-1.39; P<.001) units when the government clinical ratings and commercial nonclinical ratings move from 2 to 4 stars, respectively. The relative log odds of choosing a physician increases by 1.12 (95% CI 1.07-1.18; P<.001) units when the commercial clinical ratings move from 2 to 4 stars. The relative log odds of selecting a physician with 4 stars in nonclinical ratings provided by the government is 1.03 (95% CI 0.98-1.09; P<.001) units higher than a physician with 2 stars in this rating. The log odds of selecting a physician with 4 stars in nonclinical government ratings relative to a physician with 2 stars is 0.23 (95% CI 0.13-0.33; P<.001) units higher for females compared with males. Similar star increase in nonclinical commercial ratings increases the relative log odds of selecting the physician by female respondents by 0.15 (95% CI 0.04-0.26; P=.006) units. CONCLUSIONS: Individuals perceive nonclinical ratings provided by commercial websites as important as clinical ratings provided by government websites when choosing a primary care physician. There are significant gender differences in how the ratings are used. More research is needed on whether patients are making the best use of different types of ratings, as well as the optimal allocation of resources in improving physician ratings from the government's perspective.

Is Provider Secure Messaging Associated With Patient Messaging Behavior? Evidence From the US Army.

BACKGROUND: Secure messaging with health care providers offers the promise of improved patient-provider relationships, potentially facilitating outcome improvements. But, will patients use messaging technology in the manner envisioned by policy-makers if their providers do not actively use it? OBJECTIVE: We hypothesized that the level and type of secure messaging usage by providers might be associated with messaging initiation by their patients. METHODS: The study employed a dataset of health care and secure messaging records of more than 81,000 US Army soldiers and nearly 3000 clinicians with access to a patient portal system. We used a negative binomial regression model on over 25 million observations to determine the adjusted association between provider-initiated and provider-response messaging and subsequent messaging by their patients in this population over a 4-year period. RESULTS: Prior provider-initiated and response messaging levels were associated with new patient messaging when controlling for the patient's health care utilization and diagnoses, with the strongest association for high provider-response messaging level. Patients whose providers were highly responsive to the messages of other patients initiated 334% more secure messages (P<.001) than patients with providers who did not personally respond to other patients' messages. CONCLUSIONS: Our results indicate that provider messaging usage levels and types thereof predict their patients' subsequent communication behavior. The findings suggest the need for more study into the factors associated with provider messaging to fully understand the mechanisms of this relationship.

Clinical, nerve conduction and nerve biopsy study in vitamin B12 deficiency neurological syndrome with a short-term follow-up.

OBJECTIVE: The frequency and type of neuropathy in vitamin B12 deficiency neurological syndrome (VBDNS) is controversial. This study reports the frequency and type of nerve dysfunction in VBDNS using nerve conduction and sural nerve biopsy and its response to treatment. METHOD: Sixty-six patients with VBDNS diagnosed on the basis of low serum vitamin B12 level and/or megaloblastic bone marrow were subjected to clinical evaluation, hemoglobin, mean corpuscular volume, thyroid function test, HIV serology, and vasculitic profile. Peroneal motor and sural sensory nerve conduction studies were done. Sural nerve biopsy was done in six patients. The patients were treated with cyanocobalamin injection and followed up clinically and with nerve conduction study at 3 and 6 months. RESULTS: The median age of the patients was 46 (12-80) years and 11 patients were females. The duration of symptoms was 1-96 (median 7) months. Clinical features of neuropathy were present in 46 (69.7%) patients and nerve conduction was abnormal in 36 (54.5%) patients. On nerve conduction study, 8 (22.2%) patients had axonal, 4 (11.1%) had demyelinating, and 24 (66.7%) had mixed features. Nerve biopsy revealed acute axonal degeneration in early stage and chronic axonopathy with demyelination in the late stages of disease. The nerve conduction parameters improved at 6 months along with clinical recovery. CONCLUSION: Nearly 70% patients with VBDNS had evidence of neuropathy which is mainly axonal with some demyelinating features.

Numerical and graphical simulation of the non-linear fractional dynamical system of bone mineralization.

The objective of the present study was to improve our understanding of the complex biological process of bone mineralization by performing mathematical modeling with the Caputo-Fabrizio fractional operator. To obtain a better understanding of Komarova's bone mineralization process, we have thoroughly examined the boundedness, existence, and uniqueness of solutions and stability analysis within this framework. To determine how model parameters affect the behavior of the system, sensitivity analysis was carried out. Furthermore, the fractional Adams-Bashforth method has been used to carry out numerical and graphical simulations. Our work is significant owing to its comparison of fractional- and integer-order models, which provides novel insight into the effectiveness of fractional operators in representing the complex dynamics of bone mineralization.

Association of neighborhood socioeconomic status with echocardiographic parameters and re-admission following transcatheter aortic valve replacement.

BACKGROUND: Data on predictors of poor hemodynamic presentation and rehospitalizations following transcatheter aortic valve replacement (TAVR) are limited. We evaluate the association between neighborhood socioeconomic status (NSES) on echocardiographic presentation and post-TAVR readmission at a high-volume institution. METHODS: All patients undergoing TAVR at a single institution between 2012 and 2022 were included. Patient addresses, baseline variables including Society of Thoracic Surgeons (STS) preoperative risk of mortality and frailty, and post-procedural outcomes were extracted from electronic health records. Using a validated US Census Bureau Index, the NSES of each patient (1-100) was tabulated, with lower values correlating to increased social deprivation. Patients were separated into four ranked groups based on NSES (rank 1: 1-25, rank 4: 76-100). Multivariable regression was performed to determine variables associated with number of days hospitalized in one-year following index TAVR procedure. RESULTS: A total of 2031 patients were included. The median NSES was 68 (IQR: 53-80). There was a total of 232 (11.4%) readmissions. The median number of days hospitalized in one year following TAVR was 4 (interquartile range [IQR]: 2-7) After adjusting for baseline variables including STS risk score and patient frailty, compared to patients in the lowest ranked socioeconomic group, patients of higher NSES were associated with lower aortic valve gradients at baselines (Exp[ß]=0.997, 95% CI: 0.993-0.999, P=0.049). Additionally, compared to patients in the lowest ranked socioeconomic group, patients of NSES were associated with shorter duration of readmission after risk-factor adjustments (Exp[ß]=0.996, 95% CI: 0.992-0.999, P=0.032). CONCLUSIONS: Patients of lower socioeconomic status are associated with higher aortic valve gradient at baseline and more days hospitalized in the first year after their index TAVR procedure after adjusting for other risk factors. As TAVR volume continues to expand, physicians and health systems must consider this independent factor when determining patient prognosis and readmission policies.

Making the health system work for over 25 million births annually: drivers of the notable decline in maternal and newborn mortality in India.

INTRODUCTION: India's progress in reducing maternal and neonatal mortality since the 1990s was faster than the regional average. We systematically analysed how national health policies, services for maternal and newborn health, and socioeconomic contextual changes, drove these mortality reductions. METHODS: The study's mixed-methods design integrated quantitative trend analyses of mortality, intervention coverage and equity since the 1990s, using the sample registration system and national surveys, with interpretive understandings from policy documents and 13 key informant interviews. RESULTS: India's maternal mortality ratio (MMR) declined from 412 to 103 maternal deaths per 100 000 live births between 1997-1998 and 2017-2019. The neonatal mortality rate (NMR) declined from 46 to 22 per 1000 live births between 1997 and 2019. The average annual rate of mortality reduction increased over time. During this period, coverage of any antenatal care (57%-94%), quality antenatal care (37%-85%) and institutional delivery (34%-90%) increased, as did caesarean section rates among the poorest tertile (2%-9%); these coverage gains occurred primarily in the government (public) sector. The fastest rates for increasing coverage occurred during 2005-2012.The 2005-2012 National Rural Health Mission (which became the National Health Mission in 2012) catalysed bureaucratic innovations, additional resources, pro-poor commitments and accountability. These efforts occurred alongside smaller family sizes and improvements in macroeconomic growth, mobile and road networks, women's empowerment, and nutrition. These together reduced high-risk births and improved healthcare access, particularly among the poor. CONCLUSION: Rapid reduction in NMR and MMR in India was accompanied by increased coverage of maternal and newborn health interventions. Government programmes strengthened public sector services, thereby expanding the reach of these interventions. Simultaneously, socioeconomic and demographic shifts led to fewer high-risk births. The study's integrated methodology is relevant for generating comprehensive knowledge to advance universal health coverage.