The use of digital health in heart rhythm care.

INTRODUCTION: Digital health is a broad term that includes telecommunication technologies to collect, share and manipulate health information to improve patient health and health care services. With the growing use of wearables, artificial intelligence, machine learning, and other novel technologies, digital health is particularly relevant to the field of cardiac arrhythmias, with roles pertinent to education, prevention, diagnosis, management, prognosis, and surveillance. AREAS COVERED: This review summarizes information on the clinical use of digital health technology in arrhythmia care and discusses its opportunities and challenges. EXPERT OPINION: Digital health has begun to play an essential role in arrhythmia care regarding diagnostics, long-term monitoring, patient education and shared decision making, management, medication adherence, and research. Despite remarkable advances, integrating digital health technologies into healthcare faces challenges, including patient usability, privacy, system interoperability, physician liability, analysis and incorporation of the huge amount of real-time information from wearables, and reimbursement. Successful implementation of digital health technologies requires clear objectives and deep changes to existing workflows and responsibilities.

Procalcitonin Correlates With Cardiovascular Risk Better Than Highly Sensitive C-Reactive Protein in Patients With Type 2 Diabetes in Sub-Saharan Africa: Results From a Cross-Sectional Study.

Objective Inflammatory markers such as C-reactive protein and procalcitonin have been shown to be independent markers of cardiovascular diseases. We aimed to assess the correlation between serum levels of procalcitonin, C-reactive protein and cardiovascular risk in type 2 diabetes. Methods We carried out a cross-sectional study at a tertiary level reference hospital in Yaounde, Cameroon. We assessed the cardiovascular risk using the Action in Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation (ADVANCE) cardiovascular risk prediction model in 80 adults with type 2 diabetes. Serum procalcitonin and C-reactive protein were measured in 80 and 76 subjects respectively, using a highly sensitive quantitative enzyme-linked immunosorbent assay (ELISA) method. Correlations were examined using Spearman's rank correlation test and the correlation coefficients were compared using the Z-test statistic. Results Females represented the majority of the study population (62.5%). The median duration of diabetes was 5 (3-10) years and 62.5% of participants had a high cardiovascular risk score. Median serum procalcitonin levels was significantly higher in females compared to male participants: 2.48 (1.76-3.01 ng/mL) vs 1.42 (0.86-1.87 ng/mL); p<0.001. There was no difference in the serum C-reactive protein levels between females and males: 1.20 (0.33-3.33) mg/L vs 0.85 (0.36-2.77) mg/L; p=0.669. Procalcitonin was moderately correlated with cardiovascular risk (r=0.58, p<0.001). The correlation was slightly higher in females (R=0.56, p<0.001) versus males (R=0.49, p=0.005) although not significantly different (Z-statistic=0.734, p=0.463). Serum C-reactive protein did not show a meaningful correlation with cardiovascular risk (R=0.23, p=0.050). At a threshold of 2 ng/ml, serum procalcitonin identified participants with a high cardiovascular risk score, with a sensitivity and specificity of 64% and 80% respectively. Conclusion Compared to C-reactive protein, procalcitonin may be a better surrogate marker for cardiovascular risk prediction in this population with type 2 diabetes.

Adverse drug reactions to anti-diabetic drugs are commonest in patients whose treatment do not adhere to diabetes management clinical guidelines: cross-sectional study in a tertiary care service in sub-Saharan Africa.

AIMS: The study aimed to identify and describe adverse drug reactions and adherence to clinical guidelines in patients receiving treatment for type 2 diabetes mellitus (T2DM) in Cameroon. METHODS: The method used was a cross-sectional study at a tertiary diabetes care service in Yaoundé, Cameroon. Adult T2DM patients attending the diabetes clinic were interviewed using a pre-structured data collection form. Adverse drug reactions (ADRs) were self-reported by the patients. Naranjo's algorithm and Hartwig and Siegel's scale were used for assessment of causality and severity of ADRs, respectively. A blinded senior endocrinologist assessed whether treatment pattern of patients was "adherent" or not to local clinical guidelines for the management of diabetes. RESULTS: Of a total of 350 patients enrolled into the study 61.1% were on oral hypoglycaemic agents only, 24.9% were on both oral hypoglycaemic agents and insulin, while 13.4% were on insulin alone. Metformin was used by 96.3% of the patients. Ninety patients reported 101 suspected ADRs. The proportion of ADRs among patients with poor adherence to clinical guidelines was higher than ADRs reported among adherent patients (Chi-square test = 7.3273; p = 0.007). Hypoglycaemia was more frequent ADR among non-adherent (25.7% of the suspected ADR) than adherent participants (11.6%). In the participants whose treatment pattern did not adhere to local clinical guidelines, ADRs were definite in 63.9%, probable in 16.6%, doubtful in 13.9% and possible in 5.6% of the cases. ADRs were moderate in 61.1% and severe in 19.4% of cases whose treatment pattern was non-adherent to clinical guidelines. INTERPRETATION: Adverse drug reactions may be frequent in type 2 diabetes patients whose treatment pattern does not adhere to local clinical guidelines in Cameroon. Therefore, the promotion of active pharmacovigilance and the design of training activities to promote the appropriate use of medicines at hospital level in Cameroon could help to improve the management of diabetes and reduce the incidence of avoidable ADRs in the future.