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Introduction Cardiovascular implantable electronic devices (CIEDs) are long-term cardiac treatments that address a variety of cardiac diseases. In the recent years, a steady growth has been noticed in CIEDs, mainly due to expanding indications for their usage. Possible device-related infection, whether pocket or systemic, which leads to high morbidity and mortality, is one of the most worrying complications. In addition, there are limited studies conducted on the topic of CIED infection rate and their clinical presentation both regionally and locally. Methods In this retrospective cohort study, we reviewed the medical records of all patients with CIEDs who presented to our medical center (implanted, followed up, or referred to our hospital) between January 2016 and January 2019.The medical records were extracted from the BestCare electronic medical records system (ezCaretech Co, Seoul, Korea). All consecutive patients were included as we had no exclusion criteria. Results During the three years of the study period, a total of 612 patients with CIEDs were identified at our medical center. Among this cohort, 436 subjects (71.2%) were male and 176 (28.8%) were female. Thirty-four patients experienced device-related infections from among the total patient population (n = 612) who presented with CIEDs between January 2016 and January 2019, for a total rate of 5.6%. Of the infected patients, 29 (85%) presented with local infections and five (15%) presented with systemic infections. Conclusion The infection rate of 5.6% observed in this study was higher than expected. Therefore, we conclude that action should be taken to reduce infection rates at our medical center to at least that seen in prior studies or below that, if possible. Moreover, we found that CIED infections were often caused by Staphylococcus species and commonly affected the elderly and patients with chronic diseases such as diabetes and hypertension. Most of the identified cases were local infections, although systemic infections were common in those with renal disease. Further studies are needed to control the risk factors and to better understand the role of antibiotics, antiseptic prophylaxis, and other methods in avoiding CIED infection and associated complications.
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OBJECTIVE: The aim of the present study was to estimate the prevalence of nonadherence to medication in multimorbid patients with polypharmacy and its relationship to social support in primary healthcare centers in Riyadh, Saudi Arabia. METHODS: We conducted a cross-sectional, convenience-sample, non-randomized study in three primary healthcare centers managed by National Guard Health Affairs. The participants included 417 adult patients - (a) with two or more chronic illnesses and (b) who were taking two or more medications. The primary outcome variable was the prevalence of medication nonadherence in multimorbid patients with polypharmacy as measured by the modified Morisky Medication Adherence Scale (MMAS-8). The second main variable was the impact of functional social support, as measured by the Duke-UNC Functional Social Support Questionnaire (FSSQ), on medication adherence. RESULTS: The level of medication adherence was low for 194 (46.5%) of the 417 patients, medium for 127 (30.5%), and high for 96 (23%). There were 256 (61.4%) male participants and 161 (38.6%) females, and their mean age was 59.15 (SD ± 11.186) years. Additionally, 171 (41%) participants used two or three medications, 127 (30.5%) used four or five medications, and 119 (28.5%) used more than five medications; 178 (42.7%) of the patients had two comorbidities, 136 (32.9%) had three comorbidities, 69 (16.5%) had four comorbidities, and 31 (7.5%) had five comorbidities. Some social support data from the Duke-UNC Functional Social Support Questionnaire (FSSQ) was missing for 58 (13.9%) of the participants. Among the rest of the sample, reported levels of social support levels were high for 246 (59%) patients, medium for 101 (24.2%), and low for 12 (2.9%) patients. None of the differences between social support and medication adherence were statistically significant. However, 61 (24.8%) patients reported both high social support and high medication adherence; 173 (48.2%) had low social support and low medication adherence (p = 0.470). CONCLUSION: We found that medication nonadherence in multimorbid patients with polypharmacy was high (46.5%). Although there were no statistically significant relationships between social support and medication adherence, certain patient characteristics were associated with low medication adherence - age over 60 years, male gender, and number of medications.