METHODS: This pre- and post-intervention study was conducted in Sana'a, Yemen's capital city, at the University of Science and Technology Hospital. The study was done between 11/2021-12/2021, and two separate educational sessions were held. The McNemar's test and Wilcoxon signed-rank test were employed as necessary.
RESULTS: Participants' awareness of the Framingham CVD risk calculator improved significantly from 40.4% pre-intervention to 78.7% post-intervention. Similarly, understanding of the parameters used in the 10-year ASCVD Risk calculator rose from 46.8% pre-intervention to 76.6% post-intervention. The ability to identify high, moderate, and low-intensity statin therapy, for instance, increased from 34% to 63.8% post-intervention. Regarding statins' contraindications, safety, and efficacy monitoring parameters, pre-intervention knowledge was unsatisfactory, and the educational intervention improved it significantly (p <0.05). For physicians, the median ASCVD risk assessment knowledge score was significantly improved from 4 (IQR = 3-5) pre-intervention to 7 (6.25-8) immediately post-intervention, while the statin therapy clinical knowledge median score significantly improved from 3 (1.25-6.5) to 9 (7.25-14.75) post-education intervention, p-values were 0.002 and 0.003; respectively. For pharmacists, a similar significant improvement (p <0.05) in the overall knowledge scores for both ASCVD risk assessment and statin therapy was noted.
CONCLUSION: The educational intervention improved participants' knowledge of statin therapy and ASCVD risk assessment. Therefore, further education lectures and training programs through continuing medical education on the up-to-date guidelines' recommendations should be regularly implemented to raise awareness and improve the clinical knowledge and appropriateness of statins use in clinical settings..
PURPOSE: The aim was to determine the metabolic fingerprint that predicts warfarin response based on the international normalized ratio (INR) in patients who are already receiving warfarin (phase I: identification) and to ascertain the metabolic fingerprint that discriminates stable from unstable INR in patients starting treatment with warfarin (phase II: validation).
EXPERIMENTAL APPROACH: A total of 94 blood samples were collected for phase I: 44 patients with stable INR and 50 with unstable INR. Meanwhile, 23 samples were collected for phase II: nine patients with stable INR and 14 with unstable INR. Data analysis was performed using multivariate analysis including principal component analysis and partial least square-discriminate analysis (PLS-DA), followed by univariate and multivariate logistic regression (MVLR) to develop a model to identify unstable INR biomarkers.
KEY RESULTS: For phase I, the PLS-DA model showed the following results: sensitivity 93.18%, specificity 91.49% and accuracy 92.31%. In the MVLR analysis of phase I, ten regions were associated with unstable INR. For phase II, the PLS-DA model showed the following results: sensitivity 66.67%, specificity 61.54% and accuracy 63.64%.
CONCLUSIONS AND IMPLICATIONS: We have shown that the pharmacometabonomics technique was able to differentiate between unstable and stable INR with good accuracy. NMR-based pharmacometabonomics has the potential to identify novel biomarkers in plasma, which can be useful in individualizing treatment and controlling warfarin side effects, thus, minimizing undesirable effects in the future.
Patients and methods: This was a prospective study conducted in Hospital Pulau Pinang, Malaysia, between March 2015 and June 2015. Educational intervention was provided to 96 patients (11 males, 85 females; mean age 52.4±12.9 years; range, 20 to 83 years) who fulfilled the inclusion/exclusion criteria. Questionnaires to assess knowledge of CVD risk were given to patients to be answered before reading the informative leaflet, after one hour of intervention, and during their next follow-up three months from the intervention. Both the informative leaflet and questionnaires were prepared in English and then translated into Malay and Chinese languages to suit the need of local patients.
Results: Our results showed that RA patients had good knowledge at baseline regarding risk of smoking, hypertension, and hyperlipidemia on increasing CVD risk and that exercise would not damage their joints. However, they had low knowledge at baseline regarding the amount of exercise needed for lower CVD risks and risk of CVD with use of anti-inflammatory drugs in RA. Total knowledge score increased significantly from baseline immediately after educational intervention. However, total knowledge score decreased after three months compared to immediate post- intervention phase while it was still significantly higher compared to baseline. The improvement was most obvious for knowledge regarding anti- inflammatory drugs and CVD risk and knowledge regarding the number of flares and CVD risk. Our study did not find any significant association between demographic characteristics and traditional cardiovascular risk factors with knowledge of CVD risk.
Conclusion: Rheumatoid arthritis patients have low knowledge regarding their CVD risk related to their disease. The intervention of providing an informative leaflet effectively improved the knowledge of this group of patients on CVD risk particularly in the field related to RA-specific risk.