Introduction: The use of medication has increased in recent years in the US while the use of dietary supplements has remained stable but high. Interactions between these two kinds of products may have important consequences, especially in the case of widely used medications such as antihypertensives and antibiotics. The aim of this paper is to estimate the prevalence of potentially serious drug–dietary supplement interactions among tetracyclines, thiazides, and angiotensin II receptor blocker users by means of the NHANES 2013–2014 dataset. Methods: Data from 2013–2014 NHANES were obtained. Potential interactions analysed were tetracyclines with calcium, magnesium, and zinc, thiazides with vitamin D, and angiotensin II receptors blockers with potassium. Prevalence was calculated for each potential interaction. Logistic regression was used to assess associated factors. Results: 864 prescriptions issued to 820 patients were analysed. Overall prevalence of potential interaction was 49%. Older age and higher educational level were strongly associated with being at risk of a potential interaction. Factors such as age, race, civil status, citizenship, country of birth, BMI, and physical activity did not show notable associations. Conclusions: Healthcare professionals should be aware of other medical products when they prescribe or dispense a medication or a dietary supplement, especially to the older population and people with a higher educational level.
BackgroundSeveral studies suggest that statins, besides reducing cardiovascular disease, have anti-inflammatory properties which might provide a benefit in downregulating the immune response after a respiratory viral infection (RVI) and, hence, decreasing subsequent complications. We aim to analyse the effect of statins on mortality after RVI.MethodsA single-centre, observational and retrospective study was carried out including all adult patients with a RVI confirmed by PCR tests from October 2, 2017 to May 20, 2018. Patients were divided between statin users and non-statin users and followed-up for 1 year, and all causes of death were recorded. In order to analyse the effect of statin treatment on mortality after RVI we planned two different approaches, a multivariate Cox regression model with the overall population and a univariate Cox model with a propensity-score matched population.ResultsWe included 448 patients, 154 (34.4%) of whom were under statin treatment. Statin users had a worse clinical profile (older population with more comorbidities). During the 1-year follow-up, 67 patients died, 17 (11.0%) in the statin group and 50 (17.1%) in the non-statin group. Multivariate Cox analysis showed that statins were associated with mortality benefit (HR 0.47, 95% CI 0.26–0.83; p=0.01). In a matched population (101 statins users and 101 non-statins users) statins also remained associated with mortality benefit (HR 0.32, 95% CI 0.14–0.72; p=0.006). Differences were mainly driven by non-cardiovascular mortality (HR 0.31, 95% CI 0.13–0.73; p=0.004).ConclusionsChronic statin treatment was associated with reduced 1-year mortality in patients with laboratory-confirmed RVI. Further studies are needed to determine the exact role of statin therapy after RVI.
Background On January 2020, the first patient with coronavirus 2 (SARS-CoV-2) was detected in Spain. Since then, 3 280 000 cases have been confirmed and 75.305 people have died. We aimed to clarify the epidemiological and clinical characteristics related with poor short-term prognosis in patients diagnosed with SARS-CoV-2. Methods Observational, retrospective single-center study including consecutive patients (≥40yo) diagnosed with SARS-CoV-2 through PCR, since March 2nd to 20th 2020 in our center in Spain. The primary endpoint (PE) was the combined of all-cause death or need for orotracheal intubation within the first 30 days of infection symptoms. Results 704 patients were included (table). A follow-up period of thirty-days was fully completed in 692 of 704 patients (98.3%). At the end of this period, 148 patients (21.4%) met the PE; they were older, more frequently male, obese and smokers. Patients who met the PE had a higher prevalence of hypertension, diabetes, dyslipidemia, ischemic heart disease, heart failure, peripheral and cerebrovascular disease, cancer and lung pathologies. They received more frequently therapies with renin-angiotensin system inhibitors, betablockers, calcium channel blockers and statins, as well as antiplatelet and anticoagulant therapies Multivariate analysis showed that age (OR 1.99 for every 10 years, 95% CI [1.637–2.4], p<0.001), female sex (OR 0.49, [0.30–0.80], p=0.004), diabetes (OR 2.09, [1.17–3.71], p=0.012), lung disease (OR 1.99, [1.14–3.44], p=0.014) and body mass index (OR 1.33 for each 5 kg/m2 increased, [1.05–1.68], p=0.017) were predictors of the PE. Hypertension was not significantly related to the PE (OR 1.55, [0.93–2.60], p=0.09) Conclusion In our group of patients with SARS-CoV-2, age, male sex, diabetes, lung disease and obesity were found to be independent predictors of the combined of all case death or need for orotracheal intubation within the first 30 days of infection symptoms. Larger studies are needed to confirm these results. FUNDunding Acknowledgement Type of funding sources: None. Description of studied population Odds-ratio and CI for the combined PE
Background Questions emerged about safety renin-angiotensin system (RAS) inhibitors (angiotensin-converting enzyme (ACE) inhibitors and angiotensin-receptor blockers (ARBs)) in patients diagnosed with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Our objective was to evaluate the safety of this treatment in a Spanish cohort during 2020 pandemic. Methods Observational study including all consecutive patients (≥40 years old) diagnosed with SARS-CoV-2 through PCR in the microbiology laboratory of our hospital, since March 2nd to 20th 2020. Clinical characteristics and drugs were recorded. Primary end-point (PE) was the combined of all-cause death or need for orotracheal intubation until 30 days of infection symptoms onset. To assess the effect of RAS inhibitors, we performed a double statistical approach, with multivariate logistic regression and propensity-score matching. Results We included 704 patients (table). Median age was 61 years old (IQR 52.9–72.9); 52.7% were female. 34.7% and 12.6% had hypertension (HTA) and diabetes (DM) respectively. 92 patients (13.1%) and 87 patients (12.4%) were taking ACEI and ARB respectively. Baseline characteristics of both subgroups are shown in the table. Patients on RAS inhibitors treatment had a worse clinical profile: were older, more males and with higher prevalence of HTA, DM, dyslipemia, ischemic heart disease and heart failure. There were no differences in terms of respiratory nor neoplasic disease. After 30 days, 112 patients (15.9%) had died, 148 (21.4%) had died or had required invasive mechanical ventilation (PE); 390 patients (55.4%) had needed hospital admission. PE was reached in 33.3% patients under ACEI treatment (vs. 19.6% in control group, p=0.005) and in 41.9% patients under ARB treatment (vs. 18.5% in control group, p<0.001). In the analysis to estimate the effect of ACEI no differences between groups were found (OR 1.01 [0.55–1.85], p=0.973). Likewise, in terms of ARB treatment, there were no differences among both groups (OR 1.66 [0.91–3.03], p=0.097). Using a propensity-score approach 79 patients under ACEI treatment and 72 patients under ARB treatment were matched 1:1 with control patients (characteristics of matched population are described in the table) Logistic binary regression showed no significant differences on incidence of the PE in patients under ACEI treatment (OR 0.84, 95% CI [0.43–1.63], p=0.613) nor ARB treatment (OR 1.82, 95% CI [0.92–3.60], p=0.085). Nevertheless, there was a trend towards worse prognosis in ARB patients. Kaplan-Meier curves of survival free of death or need for mechanical ventilation in matched population (ACEI and ARB treatment) are shown in the figure. Conclusions We have not found any correlation between the severity of the disease and the treatment with ACEI nor ARB. We do not recommend the withdrawal of these drugs during the current epidemic situation. Further studies are needed to assess this finding. Funding Acknowledgement Type of funding sources: None. Description of studied populationKaplan-Meier curve in matched population
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