DOI: 10.33963/KP.15824, Published online: February 24, 2021, Authors: Ryszard Piotrowicz^1,2, Paweł Krzesiński³, Paweł Balsam⁴, Ewa Piotrowicz⁵, Maciej Kempa⁶, Ewa Lewicka⁶, Renata Główczyńska⁴, Marcin Grabowski⁴, Łukasz Kołtowski⁴, Michał Peller⁴, Bartosz Szafran⁷, Justyna Zajdel-Całkowska⁸, Jan Pachocki⁹, Jakub Podolec^10,11, Adam Stańczyk^12,13, Grzegorz Opolski⁴

Cardiac rehabilitation after acute myocardial infarction is crucial and improves patients’ prognosis. It aims to optimize cardiovascular risk factors’ control. Providing additional support via mobile applications has been previously suggested. However, data from prospective, randomized trials evaluating digital solutions are scarce. In this study, we aimed to evaluate a mobile application—afterAMI—in the clinical setting and to investigate the impact of a digitally-supported model of care in comparison with standard rehabilitation. A total of 100 patients after myocardial infarction were enrolled. Patients were randomized into groups with either a rehabilitation program and access to afterAMI or standard rehabilitation alone. The primary endpoint was rehospitalizations and/or urgent outpatient visits after 6 months. Cardiovascular risk factors’ control was also analyzed. Median age was 61 years; 65% of the participants were male. This study failed to limit the number of primary endpoint events (8% with app vs. 27% without app; p = 0.064). However, patients in the interventional group had lower NT-proBNP levels (p = 0.0231) and better knowledge regarding cardiovascular disease risk factors (p = 0.0009), despite no differences at baseline. This study showcases how a telemedical tool can be used in the clinical setting.

In the era of combination antiretroviral therapy (cART), life expectancy of HIV-infected patients is the same as that of the general population, resulting in increasing prevalence of cardiovascular disease in this patient group. To assess the prevalence of endothelial dysfunction in HIV-infected patients and to identify factors which affect endothelial function and arterial stiffness. Thirty-seven adult HIV-infected patients, regardless of the fact and the type of cART, were enrolled into the study. In patient, reactive hyperaemia peripheral arterial tonometry assessment was performed using the Endo-PAT2000 device (ITAMAR®). This method allows evaluation of endothelial function ant arterial stiffness. Final analysis included 37 patients (median age 38 years, range 32-45 years), including 89.2% men. Endothelial dysfunction was found in 13 (35.1%) HIV-infected patients. We found no differences in demographic and clinical characteristics, laboratory data, and cardiovascular drug therapy between patients with or without endothelial dysfunction, except for platelet count which was higher in patients with endothelial dysfunction (174 [119-193] × 10³/mm3 vs. 222 [168-266] × 10³/mm³, p = 0.03). No demographic or clinical variables were identified as predictors of endothelial dysfunction in HIV-infected patients. In addition, no association was found between factors related to HIV infection, chronic drug therapy and the risk of endothelial dysfunction. Statistically significant correlations were found between arterial stiffness and age (rs = 0.53, p < 0.001), red blood cell count (rs = -0.39, p = 0.018), and platelet count (rs = 0.42, p = 0.009). CD4+ and CD8+ lymphocyte count and viral load were similar in patients with or without endothelial dysfunction. Arterial stiffness was significantly higher in patients with higher viral load (rs = -0.39, p = 0.0018) and in those with established AIDS (9.5 [1.0-16.0] vs. -5 [-10-5], p = 0.009). cART had no effect on endothelial dysfunction, while arterial stiffness was higher in patients treated with cART (10 [0-15] vs. -5 [-10-3], p = 0.014). Endothelial dysfunction is common in HIV-infected patients. In general, none of the analysed factors had an effect on endothelial function but cART had a negative effect on arterial stiffness.

Evidence from the literature suggests diminished acetylsalicylic acid (ASA) treatment efficacy in type 2 diabetes (DM2). High on-aspirin platelet reactivity (HAPR) in DM2 has been linked to poor glycemic and lipid control. However, there are no consistent data on the association between HAPR and insulin resistance or adipose tissue metabolic activity. The aim of this study was to assess the relationship between laboratory response to ASA and metabolic control, insulin resistance and adipokines in DM2. A total of 186 DM2 patients treated with oral antidiabetic drugs and receiving 75 mg ASA daily were included in the analysis. Response to ASA was assessed by measuring serum thromboxane B2 (TXB2) concentration and expressed as quartiles of TXB2 level. The achievement of treatment targets in terms of glycemic and lipid control, insulin resistance parameters (including Homeostatic Model Assessment-Insulin Resistance, HOMA-IR, index), and serum concentrations of high-molecular weight (HMW) adiponectin, leptin and resistin, were evaluated in all patients. Univariate and multivariate logistic regression analyses were performed to determine the predictive factors of serum TXB2 concentration above the upper quartile and above the median. Significant trends in age, body mass index (BMI), HOMA-IR, HMW adiponectin concentration, C-reactive protein concentration and the frequency of achieving target triglyceride levels were observed across increasing quartiles of TXB2. In a multivariate analysis, only younger age and higher BMI were independent predictors of TXB2 concentration above the upper quartile, while younger age and lower HMW adiponectin concentration were predictors of TXB2 concentration above the median. These results suggest that in DM2, the most important predictor of HAPR is younger age. Younger DM2 patients may therefore require total daily ASA doses higher than 75 mg, preferably as a twice-daily regimen, to achieve full therapeutic effect. Higher BMI and lower HMW adiponectin concentration were also associated with less potent ASA effect. This is the first study to demonstrate an association of lower adiponectin concentration with higher serum TXB2 level in patients treated with ASA.

MHealth solutions optimize cardiovascular risk factor control in coronary artery disease. The aim of this study was to investigate the influence of mobile app AfterAMI on quality of life in patients after myocardial infarction. 100 participants were randomized (1:1 ratio) into groups: (1) with a rehabilitation program and access to afterAMI or (2) standard rehabilitation alone (control group, CG). 3 questionnaires (MacNew, DASS21 and EQ-5D-5L) were used at baseline, 1 month and 6 months after discharge. Median age was 61 years; 35% of patients were female. At 1 month follow up patients using AfterAMI had higher general quality of life scores both in MacNew [5.78 vs. 5.5 in CG, p = 0.037] and EQ-5D-5L [80 vs. 70 in CG, p = 0.007]. At 6 months, according to MacNew, the app group had significantly higher scores in emotional [6.09 vs. 5.45 in CG, p= 0.017] and physical [6.2 vs. 6 in CG, p = 0.027] aspects. The general MacNew quality of life score was also higher in the AfterAMI group [6.11 vs. 5.7 in CG, p = 0.015], but differences in EQ-5D-5L were not significant. There were no differences between groups in the DASS21 questionnaire. mHealth interventions may improve quality of care in secondary prevention, however further studies are warranted.