Treating the right patient at the right time: Access to echocardiography in Canada

Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms

Anthracyclines can cause cancer therapy-related cardiac dysfunction (CTRCD) that adversely affects prognosis. Despite guideline recommendations, only half of the patients undergo surveillance echocardiograms. An AI model detecting reduced left ventricular ejection fraction from 12-lead electrocardiograms (ECG) (AI-EF model) suggests ECG features reflect left ventricular pathophysiology. We hypothesized that AI could predict CTRCD from baseline ECG, leveraging the AI-EF model's insights, and developed the AI-CTRCD model using transfer learning on the AI-EF model. In 1011 anthracycline-treated patients, 8.7% experienced CTRCD. High AI-CTRCD scores indicated elevated CTRCD risk (hazard ratio (HR), 2.66; 95% CI 1.73-4.10; log-rank p < 0.001). This remained consistent after adjusting for risk factors (adjusted HR, 2.57; 95% CI 1.62-4.10; p < 0.001). AI-CTRCD score enhanced prediction beyond known factors (time-dependent AUC for 2 years: 0.78 with AI-CTRCD score vs. 0.74 without; p = 0.005). In conclusion, the AI model robustly stratified CTRCD risk from baseline ECG.

Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning

BACKGROUND

Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course. We aimed to evaluate if a deep learning approach using electrocardiogram (ECG) data alone can detect PH and clinically important subtypes. We asked: does an automated deep learning approach to ECG interpretation detect PH and its clinically important subtypes?

METHODS AND RESULTS

Adults with right heart catheterization or an echocardiogram within 90 days of an ECG at the University of California, San Francisco (2012-2019) were retrospectively identified as PH or non-PH. A deep convolutional neural network was trained on patients' 12-lead ECG voltage data. Patients were divided into training, development, and test sets in a ratio of 7:1:2. Overall, 5016 PH and 19,454 patients without PH were used in the study. The mean age at the time of ECG was 62.29 ± 17.58 years and 49.88% were female. The mean interval between ECG and right heart catheterization or echocardiogram was 3.66 and 2.23 days for patients with PH and patients without PH, respectively. In the test dataset, the model achieved an area under the receiver operating characteristic curve, sensitivity, and specificity, respectively of 0.89, 0.79, and 0.84 to detect PH; 0.91, 0.83, and 0.84 to detect precapillary PH; 0.88, 0.81, and 0.81 to detect pulmonary arterial hypertension, and 0.80, 0.73, and 0.76 to detect group 3 PH. We additionally applied the trained model on ECGs from participants in the test dataset that were obtained from up to 2 years before diagnosis of PH; the area under the receiver operating characteristic curve was 0.79 or greater.

CONCLUSIONS

A deep learning ECG algorithm can detect PH and PH subtypes around the time of diagnosis and can detect PH using ECGs that were done up to 2 years before right heart catheterization/echocardiogram diagnosis. This approach has the potential to decrease diagnostic delays in PH.

Access to Cardiovascular Care for Indigenous Peoples in Canada: A Rapid Review

Indigenous peoples in Canada are at an increased risk of cardiovascular disease compared to non-Indigenous people. Contributing factors include historical oppression, racism, healthcare biases, and disparities in terms of the social determinants of health. Access to and inequity in cardiovascular care for Indigenous peoples in Canada remain poorly studied and understood. A rapid review of the literature was performed using the PubMed/MEDLINE, Web of Science, and Indigenous Studies Portal (iPortal) databases to identify articles describing access to cardiovascular care for Indigenous peoples in Canada between 2002 and 2021. Included articles were presented narratively in the context of delays in seeking, reaching, or receiving care, or as disparities in cardiovascular outcomes, and were assessed for their successful engagement in indigenous health research using a preexisting framework. Current research suggests that gaps most prominently present as delays in receiving care and as poorer long-term outcomes. The literature is concentrated in Alberta, Manitoba, and Ontario, as well as among First Nations people, and is largely rooted in a biomedical worldview. Additional community-driven research is required to better elucidate the gaps in access to holistic cardiovascular care for Indigenous peoples in Canada. Healthcare professionals, researchers, and policymakers should reflect further upon their actions and privilege, educate themselves about historical facts and the Truth and Reconciliation Commission, tackle prevailing disparities and systemic barriers in the healthcare systems, and develop culturally safe and ethically appropriate healthcare interventions to improve the health of all Indigenous peoples in Canada.

Pulmonary arterial hypertension screening practices in scleroderma patients among Canadian rheumatologists

Background:

Current international guidelines recommend annual screening for pulmonary arterial hypertension with transthoracic echocardiogram and pulmonary function testing in all patients with scleroderma (systemic sclerosis). Our objectives were to determine Canadian rheumatologists’ screening practices for pulmonary arterial hypertension in patients with systemic sclerosis and identify reasons why current guideline recommendations may not be followed.

Methods:

A survey was emailed to all Canadian Rheumatology Association members. They self-identified as systemic sclerosis experts or non-experts and provided basic demographic data. Participants were asked how frequently they screened with transthoracic echocardiogram and pulmonary function testing and, if applicable, why they did not adhere to recommendations.

Results:

A total of 71 rheumatologists participated, of whom 43 identified as non-experts. Overall, 81.4% ordered annual transthoracic echocardiogram and 77.6% annual pulmonary function testing. Rates of annual transthoracic echocardiogram testing were similar between experts and non-experts, whereas experts ordered annual pulmonary function testing more often. Clinicians with a higher proportion of systemic sclerosis patients in their practice were more likely to follow guidelines. There was an inverse relationship between years in practice and adherence to screening guidelines. The most common reason for not following screening guidelines was disagreement with recommendations, followed by unfamiliarity with guidelines.

Conclusions:

Pulmonary arterial hypertension screening rates remain sub-optimal in Canada but have improved since 2012. Failure to adopt guidelines is due to rheumatologists disagreeing with or not knowing current recommendations. Future studies should examine why rheumatologists disagree with guidelines and how to improve awareness.

Hospitalization outcome of heart diseases between patients who received medical care by cardiologists and non-cardiologist physicians: A propensity-score matched study

Background and aims

The effects of physician specialty on the outcome of heart disease remains incompletely understood because of inconsistent findings from some previous studies. Our purpose is to compare the admission outcomes of heart disease in patients receiving care by cardiologists and noncardiologist (NC) physicians.

Methods

Using reimbursement claims data of Taiwan’s National Health Insurance from 2008–2013, we conducted a matched study of 6264 patients aged ≥20 years who received a cardiologist’s care during admission for heart disease. Using a propensity score matching procedure adjusted for sociodemographic characteristics, medical condition, and type of heart disease, 6264 controls who received an NC physician’s care were selected. Logistic regressions were used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) for complications and mortality during admission for heart disease associated with a cardiologist’s care.

Results

Patients who received a cardiologist’s care had a lower risk of pneumonia (OR = 0.61; 95% CI, 0.53–0.70), septicemia (OR = 0.49; 95% CI, 0.39–0.61), urinary tract infection (OR = 0.76; 95% CI, 0.66–0.88), and in-hospital mortality (OR = 0.37; 95% CI, 0.29–0.47) than did patients who received an NC physician’s care. The association between a cardiologist’s care and reduced adverse events following admission was significant in both sexes and in patients aged ≥40 years.

Conclusion

We raised the possibility that cardiologist care was associated with reduced infectious complications and mortality among patients who were admitted due to heart disease.

Comparison of processes of care and clinical outcomes for patients newly hospitalized for heart failure attended by different physician specialists

BACKGROUND

Previous studies suggest that patients with heart failure (HF) treated by cardiologists have improved outcomes compared with patients treated by other physicians. It remains unclear whether these findings reflect differences in patient characteristics, processes of care, practice setting, or a combination of these factors.

METHODS

We examined physician specialty-related differences in processes of care and clinical outcomes for 7,634 patients newly hospitalized for HF in Ontario, Canada, who were included in the EFFECT study between April 2004 and March 2005. Patients were categorized according to whether they received cardiologist, generalist (e.g., internist or family doctor), or generalist care with cardiology consultation.

RESULTS

Multivariable hierarchical modeling demonstrated that patients treated by generalists alone had higher risk of 30-day (odds ratio [OR] 1.50, 95% CI 1.18-1.91) and 1-year mortality (OR 1.29, 95% CI 1.10-1.50), as well as the 1-year composite outcome of death and readmission, compared with patients treated by cardiologists. These differences were significantly attenuated if patients who had "do not resuscitate" orders were excluded. Patients who had a cardiologist involved in their care were more likely to undergo diagnostic procedures, such as echocardiography, and had higher rates of certain evidence-based pharmacologic therapy such as β-blockers.

CONCLUSION

Physician specialty-related differences in HF outcomes appear to reflect a combination of both case-mix differences and differences in the use of certain heart failure processes of care. These findings suggest that it may be possible to improve HF outcomes in patients receiving care from generalist physicians.