Citations

Background Although decision aids (DA) can help to communicate evidence to patients, their production is time consuming, often not based on the best available evidence or rapidly outdated. Linking trustworthy guidelines and DA for shared-decision making could both overcome these limitations and enhance guideline dissemination. Objectives To test the feasibility of automatically translating any recommendations from GRADE guidelines into generic and interactive DA accessible on tablet computers for clinicians and their patients in the clinical encounter. Methods As part of the DECIDE project, we developed a framework for translating components of GRADE into DA, following the International Patient Decision Aid Standards. Using a recently published guideline, we implemented that framework in our MAGIC (Making Grade the Irresistible Choice) application – a prototype electronic guideline tool and publication platform that can automatically display recommendations in multilayered presentation formats. Results Our prototype was able to automatically translate a large number of GRADE recommendations and their supporting evidence into electronic and interactive DA. Preliminary results of user-testing in real patient-clinician interactions suggest that these DA can be used at the point of care to discuss estimates of treatment effects for patient relevant outcomes, confidence in estimates, burden of treatment, and cost issues. Discussion This study provides a proof-of-concept that components of GRADE recommendations can be interactively displayed in generic tools for interactive shared-decision making in a wide range of treatment alternatives. Implications for Guideline Developers/Users Our electronic DA offer promising opportunities to disseminate guidelines at the point of care.

Background Traditionally patients are not involved in the development of clinical guidelines, and most current panels include only clinical and methodological experts. We therefore know little about what patients (or healthy lay people) would have recommended if they were provided with the same evidence as experts. Objectives Develop a prototype ‘Recommendation-making game’ which can be used for: (1) Exploring patients and lay people’s reasoning when facing the same evidence as an expert guideline panel; (2) assess whether they give similar value to the outcomes or burdens if the decision of making a recommendation for a patient group was up to them; (3) determine whether their recommendation concur with what they would have decided for themselves. Methods We used game technology to make a generic prototype of an online “Recommendation-making game”, based on structured guidelines published in the MAGIC (Making Grade the Irresistible Choice) application. This approach will enable us to automatically make online surveys out of any guideline/recommendation in the system. In making it into a game we believe people would want to participate, and we can potentially harvest information from a large group of people. The game can also be used in small focus groups for qualitative data collection. Results We will display the prototype at the conference. Discussion Does clinical experts reasoning effects that of patient representatives in a guideline panel? Implications for Guideline Developers/Users GAME-IT explores a new way of harvesting information from patients (or healthy lay people) regarding treatment recommendations.

Background In 2005, the Endocrine Society (TES) adopted the GRADE system of developing clinical practice guidelines. This system facilitates the formulation of evidence-based recommendations by explicitly describing the confidence in estimates (quality of evidence) and strength of each recommendation. Objectives To describe and characterise the relationship between confidence in estimates and strength of recommendation in TES guidelines. Methods We included all published TES guidelines between 2005 (when TES started using GRADE) and 2011. Independently and in duplicate, reviewers extracted, for each recommendation: disease area, confidence in estimates and design of the studies considered, and strength of recommendation. In strong recommendations with low quality of we developed and applied a taxonomy of appropriate recommendations and identified those we considered inappropriate. Results Most of the 357 recommendations issued were supported by evidence warranting low or very low confidence in estimates (256, 72%). Evidence cited in support of these recommendations came exclusively from observational studies in 233 recommendations (65%). Most recommendations were strong (206, 58%); of these, 121 (59%) were supported by evidence warranting low or very low confidence in estimates. In 101/121 (83%), we identified a compelling rationale for the recommendations; in 20 (17%), we did not. Conclusions Most TES strong recommendation based on low quality evidence are justified and appropriate, but a substantial proportion are not. Implications for Guideline Developers Guideline developers should carefully justify any strong recommendations based on low confidence in effect estimates.

ABSTRACT PCR coupled with electrospray ionization mass spectrometry (PCR–ESI-MS) is a novel technology that has recently been used to identify pathogens from clinical specimens or after culture within about 6 h. We evaluated the MDR-TB (multidrug-resistant tuberculosis) assay, which uses PCR–ESI-MS for detection and identification of Mycobacterium spp. and Mycobacterium tuberculosis complex (MTBC) resistance determinants from solid and broth Middlebrook culture media. The performance of the MDR-TB assay was compared to identification using nucleic acid hybridization probes and 16S rRNA gene sequencing for 68 MTBC and 97 nontuberculous mycobacterial (NTM) isolates grown on agar and 107 cultures grown in Bactec MGIT broth. MTBC resistance profiles from the MDR-TB assay were compared to results with the agar proportion method. The PCR–ESI-MS system correctly identified all MTBC isolates and 97.9% and 95.8% of the NTM isolates from characterized agar cultures and MGIT broth cultures to the species level, respectively. In comparison to the agar proportion method, the sensitivity and specificity for the detection of drug resistance using the MDR-TB assay were 100% and 92.3% for rifampin, 100% and 93.8% for isoniazid, 91.6% and 94.4% for ethambutol, and 100% and 100% for fluoroquinolones, respectively. The MDR-TB assay appears to be a rapid and accurate method for the simultaneous detection and identification of mycobacterial species and resistance determinants of MTBC from culture.

Background— A patent foramen ovale (PFO) may permit arterial embolization of thrombi that accumulate on the leads of cardiac implantable electronic devices in the right-sided cardiac chambers. We sought to determine whether a PFO increases the risk of stroke/transient ischemic attack (TIA) in patients with endocardial leads. Methods and Results— We retrospectively evaluated all patients who had endocardial leads implanted between January 1, 2000, and October 25, 2010, at Mayo Clinic Rochester. Echocardiography was used to establish definite PFO and non-PFO cohorts. The primary end point of stroke/TIA consistent with a cardioembolic etiology and the secondary end point of mortality during postimplantation follow-up were compared in PFO versus non-PFO patients with the use of Cox proportional hazards models. We analyzed 6075 patients (364 with PFO) followed for a mean 4.7±3.1 years. The primary end point of stroke/TIA was met in 30/364 (8.2%) PFO versus 117/5711 (2.0%) non-PFO patients (hazard ratio, 3.49; 95% confidence interval, 2.33–5.25; P <0.0001). The association of PFO with stroke/TIA remained significant after multivariable adjustment for age, sex, history of stroke/TIA, atrial fibrillation, and baseline aspirin/warfarin use (hazard ratio, 3.30; 95% confidence interval, 2.19–4.96; P <0.0001). There was no significant difference in all-cause mortality between PFO and non-PFO patients (hazard ratio, 0.91; 95% confidence interval, 0.77–1.07; P =0.25). Conclusions— In patients with endocardial leads, the presence of a PFO on routine echocardiography is associated with a substantially increased risk of embolic stroke/TIA. This finding suggests a role of screening for PFOs in patients who require cardiac implantable electronic devices; if a PFO is detected, PFO closure, anticoagulation, or nonvascular lead placement may be considered.

Introduction The successful treatment of intracranial aneurysms is dependent on a full understanding of the anatomic relationship of a given aneurysm to its parent artery(s) and nearby branches. Furthermore, new endovascular technologies are often limited by size constraints. Currently, there is no complete atlas describing diameters for each major intracranial arterial segment. We sought to obtain these data by performing a systematic analysis of selected cerebral angiography images from the International Study of Unruptured Intracranial Aneurysms (ISUIA). Methods Four hundred and forty-five patients with unruptured intracranial aneurysms from the ISUIA database were reviewed. Using previously described techniques, artery diameters were measured for all arteries involved in the aneurysm neck for each patient. Results Measurements were obtained from 695 different aneurysm-associated arterial segments among 445 patient angiograms (mean 1.6 measurements per aneurysm). Artery diameters, mean, median, SEM and IQRs based upon the different arterial segments are presented. Conclusions This angiographic almanac of aneurysm-associated intracranial arterial diameters may be of benefit in establishing standard norms through which devices, protocols and research aims may be developed.

Background: In type 1 diabetes mellitus (T1DM), physical activity (PA) lowers the risk of cardiovascular complications but hinders the achievement of optimal glycemic control, transiently boosting insulin action and increasing hypoglycemia risk. Quantitative investigation of relationships between PA-related signals and glucose dynamics, tracked using, for example, continuous glucose monitoring (CGM) sensors, have been barely explored. Subjects and Methods: In the clinic, 20 control and 19 T1DM subjects were studied for 4 consecutive days. They underwent low-intensity PA sessions daily. PA was tracked by the PA monitoring system (PAMS), a system comprising accelerometers and inclinometers. Variations on glucose dynamics were tracked estimating first- and second-order time derivatives of glucose concentration from CGM via Bayesian smoothing. Short-time effects of PA on glucose dynamics were quantified through the partial correlation function in the interval (0, 60 min) after starting PA. Results: Correlation of PA with glucose time derivatives is evident. In T1DM, the negative correlation with the first-order glucose time derivative is maximal (absolute value) after 15 min of PA, whereas the positive correlation is maximal after 40–45 min. The negative correlation between the second-order time derivative and PA is maximal after 5 min, whereas the positive correlation is maximal after 35–40 min. Control subjects provided similar results but with positive and negative correlation peaks anticipated of 5 min. Conclusions: Quantitative information on correlation between mild PA and short-term glucose dynamics was obtained. This represents a preliminary important step toward incorporation of PA information in more realistic physiological models of the glucose–insulin system usable in T1DM simulators, in development of closed-loop artificial pancreas control algorithms, and in CGM-based prediction algorithms for generation of hypoglycemic alerts.