Evaluating the Importance of Heterogeneity of Treatment Effect: Variation in Patient Utilities Can Influence Choice of the "Optimal" Oral Anticoagulant for Atrial Fibrillation

The Impact of Longitudinal Data-Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores

The impact of electronic health record (EHR) discontinuity (i.e., receiving care outside of a given EHR system) on EHR-based risk prediction is unknown. We aimed to assess the impact of EHR-continuity on the performance of clinical risk scores. The study cohort consisted of patients aged ≥ 65 years with ≥ 1 EHR encounter in the 2 networks in Massachusetts (MA; 2007/1/1-2017/12/31, internal training and validation dataset), and one network in North Carolina (NC; 2007/1/1-2016/12/31, external validation dataset) that were linked with Medicare claims data. Risk scores were calculated using EHR data alone vs. linked EHR-claims data (not subject to misclassification due to EHR-discontinuity): (i) combined comorbidity score (CCS), (ii) claim-based frailty score (CFI), (iii) CHAD2 DS2 -VASc, and (iv) Hypertension, Abnormal renal/liver function, Stroke, Bleeding, Labile, Elderly, and Drugs (HAS-BLED). We assessed the performance of CCS and CFI predicting death, CHAD2 DS2 -VASc predicting ischemic stroke, and HAS-BLED predicting bleeding by area under receiver operating characteristic curve (AUROC), stratified by quartiles of predicted EHR-continuity (Q1-4). There were 319,740 patients in the MA systems and 125,380 in the NC system. In the external validation dataset, AUROC for EHR-based CCS predicting 1-year risk of death was 0.583 in Q1 (lowest) EHR-continuity group, which increased to 0.739 in Q4 (highest) EHR-continuity group. The corresponding improvement in AUROC was 0.539 to 0.647 for CFI, 0.556 to 0.637 for CHAD2 DS2 -VASc, and 0.517 to 0.556 for HAS-BLED. The AUROC in Q4 EHR-continuity group based on EHR alone approximates that based on EHR-claims data. The prediction performance of four clinical risk scores was substantially worse in patients with lower vs. high EHR-continuity.

Health-related quality of life after adverse bleeding events associated with antithrombotic drug therapy - A systematic review

Little is known about the health-related quality of life (HRQOL) following adverse bleeding events associated with antithrombotic drug therapy. This systematic review assesses the HRQOL of patients who suffered a bleeding event related to antithrombotic drug use. A literature search was performed using PubMed, EMBASE, and the Cochrane Library from inception through June 16, 2017. Studies measuring HRQOL after a bleeding event related to antithrombotic drug therapy for primary or secondary prevention of a thromboembolic event were included. Four studies with a total of 13,209 patients met the inclusion criteria, and of them, 3,649 patients developed a bleeding event. Patients who were included received antithrombotic drugs because of acute myocardial infarction or atrial fibrillation. EQ-5D, SF-36, and GHP MOS-13 were used to measure HRQOL. The follow-up time ranged from 6 to 29 months. Patients who suffered a bleeding event reported worse HRQOL compared to those who did not (EQ-5D - average increase on all domains of 0.09, p-values ranging from <0.001 to 0.003; SF-36 - average decrease on all domains of 21.4, p < 0.001; and GHP MOS-13 score - decrease of 11.9 points, p < 0.05) and an increased health concern (13.4-point increase; p < 0.05). In conclusion, adverse bleeding events occurring because of the use of antithrombotic agents are associated with a clinically relevant lower HRQOL and hence deserve more attention as part of the shared decision-making process between patients and providers. These data should be valuable for facilitating more substantive care and risk discussions regarding potential changes in outcome and rehabilitation.

N-of-1 trials in the clinical care of patients in developing countries: a systematic review

BACKGROUND

N-of-1 trials have a potential role in promoting patient-centered medicine in developing countries. However, there is limited academic literature regarding the use of N-of-1 trials in the clinical care of patients in resource-poor settings.

OBJECTIVE

To assess the extent of use, purpose and treatment outcome of N-of-1 trials in developing countries.

METHOD

A systematic review of clinical N-of-1 trials was conducted between 1985 and September 2015 using PubMed, Embase, CINAHL, Web of Science and the Cochrane Central Register of Controlled Trials. Grey literature databases and clinical trial registers were also searched. This review included randomized, multi-cycle, crossover within individual patient trials involving drug intervention. Quality assessment and data extraction were conducted by two independent reviewers.

RESULT

Out of 131 N-of-1 trials identified, only 6 (4.5%) were conducted in developing countries. The major reason that N-of-1 trials were used was to provide evidence on feasibility, effectiveness and safety of therapies. A total of 72 participants were involved in these trials. Five of the studies were conducted in China and all evaluated Chinese traditional medicine. The remaining study was conducted in Brazil. The completion rate was 93%. More than half, 46 (69%) of subjects made medication changes consistent with trial results after trial completion. A number of threats to the validity of the included evidence limited the validity of the evidence. In particular, the estimated overall effect in four of the included studies could have been affected by the "carry over" of the previous treatment effect as no adequate pharmacokinetic evidence regarding traditional medicines was presented.

CONCLUSION

The prevalence and scope of N-of-1 trials in developing countries is low. A coordinated effort among government, clinicians, researchers and sponsor organizations is needed to increase their uptake and quality in developing countries.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015026841 .