Patients share valuable advice and experiences with their peers in online patient discussion groups. These uncensored experiences can provide a complementaryperspective to that of the health... Show morePatients share valuable advice and experiences with their peers in online patient discussion groups. These uncensored experiences can provide a complementaryperspective to that of the health professional and thereby yield novel hypotheses which could be tested in further rigorous medical research. This thesis focuses on the development of automatic extraction methods to harvest these patient experiences from online patient forums using text mining techniques. We also examine the complementary value of these patient-reported outcomes to traditional sources of medical knowledge for scientific hypothesis generation. Specifically, we focus on the extraction of adverse drug events (i.e., side effects) and coping strategies for dealing with adverse drug events. Show less
Luttikhuis, H.M.; Blomaard, L.C.; Kaaij, M.A.E. van der; Gombert-Handoko, K.B.; Groot, B. de; Mooijaart, S.P. 2021
Key summary pointsAim To investigate (a) the prevalence and clinical manifestations of Drug-Related Admissions (DRAs) and the drugs responsible for these admissions, (b) to study the association... Show moreKey summary pointsAim To investigate (a) the prevalence and clinical manifestations of Drug-Related Admissions (DRAs) and the drugs responsible for these admissions, (b) to study the association between geriatric characteristics and DRAs and c) to study the predictive performance of geriatric screening instrument for identifying DRAs in older patients presenting to the Emergency Department (ED). Findings DRAs are prevalent in older hospitalized patients. Polypharmacy, ADL dependency and a high ISAR or ISAR-HP score are associated with higher risk for a DRA, but the predictive value of geriatric screeners is insufficient and therefore they cannot be used alone to predict for Drug-Related Hospital Admissions in Emergency Department. Message Geriatric screening instruments are not specific and sensitive enough to use alone for identifying drug-related hospital admissions in older patients in the ED.Purpose Drug-Related Admissions (DRAs) are a well-known problem among older patients in the Emergency Department (ED). The aim of this study was (a) to investigate the prevalence and clinical manifestations of DRAs and the responsible drugs, (b) to study the association between geriatric characteristics and DRAs, and (c) to study the predictive performance of geriatric screeners for identifying DRAs in older ED patients. Methods Patients aged >= 70 hospitalized from the ED were included. Demographics, geriatric characteristics and medications were collected. The the Acutely Presenting Older Patient (APOP)-screener, the Identification of Seniors At Risk (ISAR) and the ISAR-Hospitalized Patients (ISAR-HP) were used as geriatric screeners. Potential DRAs were identified retrospectively, the association between geriatric screeners and DRAs was investigated with logistic regression and the predictive performance was assessed by calculating the Area under the Curve (AUC) of the Receiver Operator Characteristics (ROC). Results The mean age of patients was 78 (IQR 73-83), using an average of 6 medications. Out of 240 admissions, 77 (30%) were classified as a DRA. Independent risk factors for DRAs were polypharmacy (OR 2.42; 95% CI 1.23-4.74) and the ADL dependency (OR 1.23; 95%CI 1.05-1.44). ISAR (OR 3.27; 95%CI 1.60-6.69) and ISAR-HP (OR 1.83; 95% CI 1.02-3.27) associated with increased risk of DRAs, whereas the APOP screener did not (OR 1.56; 95% CI 0.82-2.97). The predictive performance of all geriatric screeners for predicting DRAs was poor (AUC for all screeners < 0.60). Conclusion DRAs are highly prevalent in older ED patients. Polypharmacy, ADL dependency and a high ISAR or ISAR-HP are associated with higher risk for DRAs, but the predictive value of geriatric screeners is insufficient. Show less
Pharmacogenomics (PGx) utilizes an individual’s germline genetic profile to identify those who are at higher risk for ADRs or lack of efficacy. This information can be used by healthcare... Show morePharmacogenomics (PGx) utilizes an individual’s germline genetic profile to identify those who are at higher risk for ADRs or lack of efficacy. This information can be used by healthcare professionals (HCPs) to guide dose and drug selection before drug initiation in an effort to optimize drug therapy through precision medicine. Despite both the promise of and the progress in the field of PGx to achieve precision medicine, it is still not routinely applied in patient care. As such, a number of barriers preventing implementation have been identified. These include the undetermined model for delivering PGx, the lack of evidence supporting a PGx panel approach and the lack of tools supporting implementation. Therefore, the work of this thesis aims to support the implementation of precision medicine using PGx panel testing. It reports on generating evidence for PGx panel testing (Part I) and the development of tools facilitating implementation (Part II), evaluates the implementation process utilizing these tools (Part III) and quantifies the impact of PGx implementation on patient outcomes and cost-effectiveness (Part IV). Show less
Aims To assess medication use in adult congenital heart disease (ACHD) patients compared to the age- and sex-matched general population, identify patterns of pharmacotherapy, and analyse... Show moreAims To assess medication use in adult congenital heart disease (ACHD) patients compared to the age- and sex-matched general population, identify patterns of pharmacotherapy, and analyse associations between pharmacotherapy and adverse outcomes in ACHD.Methods and results Data of 14 138 ACHD patients from the CONCOR registry [35 (24-48) years, 49% male] and age- and sex-matched referents (1:10 ratio) were extracted from the Dutch Dispensed Drug Register for the years 2006-14. Adult congenital heart disease patients had more cardiovascular and non-cardiovascular drugs than referents (median 3 vs. 1, P<0.001). Polypharmacy, defined as >= 5 dispensed drug types yearly, was present in 30% of ACHD and 15% of referents {odds ratio [OR]=2.47 [95% confidence interval (CI) 2.39-2.54]}. Polypharmacy was independently associated with female sex [OR=1.92 (95% CI 1.88-1.96)], older age [for men: OR=2.3/10years (95% CI 2.2-2.4) and for women: OR=1.6/10years (95% CI 1.5-1.6); P-interaction<0.001], and ACHD severity [mild: OR=2.51 (95% CI 2.40-2.61), moderate: OR=3.22 (95% CI 3.06-3.40), severe: OR=4.87 (95% CI 4.41-5.38)]. Cluster analysis identified three subgroups with distinct medication patterns; a low medication use group (8-year cumulative survival: 98%), and a cardiovascular and comorbidity group with lower survival (92% and 95%, respectively). Cox regression revealed a strong association between polypharmacy and mortality [hazard ratio (HR)=3.94 (95% CI 3.22-4.81)], corrected for age, sex, and defect severity. Polypharmacy also increased the risk of hospitalization for adverse drug events [HR=4.58 (95% CI 2.04-10.29)].Conclusion Both cardiovascular and non-cardiovascular medication use is high in ACHD with twice as much polypharmacy compared with the matched general population. Patients with polypharmacy had a four-fold increased risk of mortality and adverse drug events. Recognition of distinct medication patterns can help identify patients at highest risk. Drug regimens need repeating evaluation to assess the appropriateness of all prescriptions. More high-quality studies are needed to improve ACHD care with more evidence-based pharmacotherapy. Show less
Schoenmakers, T.W.A.; Wensing, M.; Smet, P.A.G.M. de; Teichert, M. 2018
