Digitizing ECG image: A new method and open-source software code.

BACKGROUND AND OBJECTIVE: We aimed to develop and validate an open-source code ECG-digitizing tool and assess agreements of ECG measurements across three types of median beats, comprised of digitally recorded simultaneous and asynchronous ECG leads and digitized asynchronous ECG leads. METHODS: We used the data of clinical studies participants (n = 230; mean age 30±15 y; 25% female; 52% had the cardiovascular disease) with available both digitally recorded and printed on paper and then scanned ECGs, split into development (n = 150) and validation (n = 80) datasets. The agreement between ECG and VCG measurements on the digitally recorded time-coherent median beat, representative asynchronous digitized, and digitally recorded beats was assessed by Bland-Altman analysis. RESULTS: The sample-per-sample comparison of digitally recorded and digitized signals showed a very high correlation (0.977), a small mean difference (9.3 µV), and root mean squared error (25.9 µV). Agreement between digitally recorded and digitized representative beat was high [area spatial ventricular gradient (SVG) elevation bias 2.5(95% limits of agreement [LOA] -7.9-13.0)°; precision 96.8%; inter-class correlation [ICC] 0.988; Lin's concordance coefficient ρc 0.97(95% confidence interval [CI] 0.95-0.98)]. Agreement between digitally recorded asynchronous and time-coherent median beats was moderate for area-based VCG metrics (spatial QRS-T angle bias 1.4(95%LOA -33.2-30.3)°; precision 94.8%; ICC 0.95; Lin's concordance coefficient ρc 0.90(95%CI 0.82-0.95)]. CONCLUSIONS: We developed and validated an open-source software tool for paper-ECG digitization. Asynchronous ECG leads are the primary source of disagreement in measurements on digitally recorded and digitized ECGs.

The Impact of Partnership Status on Diabetes Control and Self-Management Behaviors.

According to the Centers for Disease Control and Prevention, diabetes affects 29.1 million people in the United States. Marriage has been suggested to have a protective effect on overall health outcomes, but few studies have evaluated the role of partnership status on patients with type 2 diabetes. This study aimed to assess this role of partnership status on diabetes control and self-management behaviors. Patients with type 2 diabetes taking at least one oral hypoglycemic agent were assessed over a 3-month period to measure hemoglobin A1c (HbA1c) changes and adherence to medication, exercise, diet, and glucose monitoring. Partnered participants were more likely to adhere to their medications, but there was no significant difference in HbA1c changes over 3 months or exercise, diet, or glucose monitoring adherence. This study suggests that being partnered improves medication adherence; further analysis with a larger population is required to fully assess the role of partner support for patients with type 2 diabetes.