Citations

Ketamine and lithium both inhibit glycogen synthase kinase 3. In addition, lithium and ketamine have synergistic antidepressant-like effects at individually subeffective doses in rodents. We hypothesized that ketamine’s antidepressant effects would be improved by therapeutic doses of lithium versus valproate and that serum lithium levels would positively correlate with ketamine’s antidepressant efficacy. Thirty-six patients with treatment-resistant bipolar depression maintained on therapeutic-dose lithium (n=23, 0.79 ± 0.15 mEq/L) or valproate (n=13, 79.6 ± 12.4 mg/mL) received 0.5 mg/kg ketamine infusion in a randomized, double-blind, placebo-controlled, crossover trial. The primary depression outcome measure—the Montgomery-Åsberg Depression Rating Scale (MADRS)—was assessed before infusion and at numerous postinfusion time points. Both lithium (F1,118= 152.08,p<0.001, andd=2.27) and valproate (F1,128= 20.12,p<0.001, andd=0.79) significantly improved depressive symptoms, but no statistically significant difference was observed between mood stabilizer groups (F1,28= 2.51,p=0.12, andd=0.60). Serum lithium and valproate levels did not correlate with ketamine’s antidepressant efficacy. Although the study was potentially underpowered, our results suggest that lithium may not potentiate ketamine’s antidepressant efficacy in treatment-resistant bipolar depression.

AbstractAbstract In a randomized trial of 130 surgical patients, use of a decision aid consisting of laminated cards with pros and cons of continuing smoking, attempting temporary abstinence, or attempting to quit smoking improved measures of decisional quality but did not change perioperative tobacco use behavior. Background: Decision aids can increase patient involvement in decision-making about health care. The study goal was to develop and test a decision aid for use by clinicians in discussion options for changing smoking behavior before and after elective surgery. Methods: In formative work, a decision aid was designed to facilitate patient–clinician discussion regarding three options: continue smoking, attempt a period of temporary abstinence, and attempt to quit smoking for good. A randomized, two-group pilot study was then conducted in smokers evaluated in preparation for elective surgery in a preoperative clinic to test the hypothesis that the decision aid would improve measures of decisional quality compared with usual care. Results: The final decision aid consisted of three laminated cards. The front of each card included a colorful graphic describing each choice; the reverse including two to three pros and cons for each decision, a simple graphic illustrating the effects of smoking on the body, and a motivational phrase. In the randomized trial of 130 patients, the decision aid significantly ( P < 0.05) improved measures of decisional quality and patient involvement in decision making (Cohen’s d effect sizes of 0.76 and 1.20 for the Decisional Conflict Scale and Observing PatienT involvement In decisiON-making scale, respectively). However, the decision aid did not affect any aspect of perioperative smoking behavior, including the distribution of or adherence to choices. Conclusions: Although the use of a decision aid to facilitate clinician–patient discussions regarding tobacco use around the time of surgery substantially improved measures of decisional quality, it alone did not change perioperative tobacco use behavior.

Background The Carotid Revascularization Endarterectomy Versus Stenting Trial ( CREST ) is a multicenter randomized trial of stenting versus endarterectomy in patients with symptomatic and asymptomatic carotid disease. This study assesses management of vascular risk factors. Methods and Results Management was provided by the patient's physician, with biannual monitoring results collected by the local site. Therapeutic targets were low‐density lipoprotein, cholesterol <100 mg/dL, systolic blood pressure <140 mm Hg, fasting blood glucose <126 mg/dL, and nonsmoking status. Optimal control was defined as achieving all 4 goals concurrently. Generalized estimating equations were used to compare risk factors at baseline with those observed in scheduled follow‐up visits for up to 48 months. In the analysis cohort of 2210, significant improvements in risk‐factor control were observed across risk factors for all follow‐up visits compared with baseline. At 48 months, achievement of the low‐density lipoprotein cholesterol goal improved from 59.1% to 73.6% ( P <0.001), achievement of the systolic blood pressure goal improved from 51.6% to 65.1% ( P <0.001), achievement of the glucose goal improved from 74.9% to 80.7% ( P =0.0101), and nonsmoking improved from 74.4% to 80.9% ( P <0.0001). The percentage with optimal risk‐factor control also improved significantly, from 16.7% to 36.2% ( P <0.001), but nearly 2 of 3 study participants did not achieve optimal control during the study. Conclusions Site‐based risk‐factor control improved significantly in the first 6 months and over the long term in CREST but was often suboptimal. Intensive medical management should be considered for future trials of carotid revascularization. Clinical Trial Registration URL: ClinicalTrials.gov. Unique identifier: NCT00004732.

Background and Purpose— NINDS (National Institute of Neurological Disorders and Stroke)-SiGN (Stroke Genetics Network) is an international consortium of ischemic stroke studies that aims to generate high-quality phenotype data to identify the genetic basis of pathogenic stroke subtypes. This analysis characterizes the etiopathogenetic basis of ischemic stroke and reliability of stroke classification in the consortium. Methods— Fifty-two trained and certified adjudicators determined both phenotypic (abnormal test findings categorized in major pathogenic groups without weighting toward the most likely cause) and causative ischemic stroke subtypes in 16 954 subjects with imaging-confirmed ischemic stroke from 12 US studies and 11 studies from 8 European countries using the web-based Causative Classification of Stroke System. Classification reliability was assessed with blinded readjudication of 1509 randomly selected cases. Results— The distribution of pathogenic categories varied by study, age, sex, and race ( P <0.001 for each). Overall, only 40% to 54% of cases with a given major ischemic stroke pathogenesis (phenotypic subtype) were classified into the same final causative category with high confidence. There was good agreement for both causative (κ 0.72; 95% confidence interval, 0.69–0.75) and phenotypic classifications (κ 0.73; 95% confidence interval, 0.70–0.75). Conclusions— This study demonstrates that pathogenic subtypes can be determined with good reliability in studies that include investigators with different expertise and background, institutions with different stroke evaluation protocols and geographic location, and patient populations with different epidemiological characteristics. The discordance between phenotypic and causative stroke subtypes highlights the fact that the presence of an abnormality in a patient with stroke does not necessarily mean that it is the cause of stroke.

AbstractObjectivesPatient throughput is an increasingly important cause of emergency department (ED) crowding. The authors previously reported shorter patient length of stay (LOS) when adding a triage liaison provider, which required additional personnel. Here, the objective was to evaluate the effect of moving a fast‐track provider to the triage liaison role.MethodsThis was a prospective observational before‐and‐after study design with predefined outcomes measures. A “standard staffing” situation (where an advanced practice provider staffed treatment rooms in the fast track) was compared with an advanced practice provider performing the triage liaison staffing role, with no additional staff. Eleven intervention (“triage liaison staffing”) days were compared with 11 matched control (“standard staffing”) days immediately preceding the intervention. Total LOS was measured for all adult Emergency Severity Index (ESI) 3, 4, and 5 patients (excluding behavioral health patients), and results were compared using Wilcoxon rank‐sum and chi‐square tests.ResultsA total of 681 patients registered on control days and 599 on intervention days. There was no significant difference in total patient LOS: median = 273 minutes, interquartile range (IQR) 176 to 384 minutes on intervention days versus median = 253 minutes, IQR = 175 to 365 minutes on control days (p = 0.20). There was no difference in left‐without‐being‐seen (LWBS) rates (n = 48, 7% on control days vs. n = 35, 6% on intervention days; p=0.38). Secondary analysis of only ESI 3 patients showed no difference in total LOS between periods (median = 284 minutes, IQR = 194 to 396 minutes on intervention days vs. median = 290 minutes, IQR = 217 to 397 minutes on control days; p = 0.22). There was, however, significantly greater total LOS for ESI 4 and 5 patients during the intervention period (median = 238 minutes, IQR = 124 to 350 minutes on intervention days vs. median = 192 minutes, IQR = 124 to 256 minutes on control days; p = 0.011).ConclusionsThe previously reported benefits on patient LOS and LWBS rates after adding a triage liaison (resource additive) were lost when that provider was moved from fast track to the triage role (resource neutral). While the triage liaison provider role may be a way to improve ED throughput when additional resources are available, as evidenced by our prior study, the triage liaison model itself does not appear to replace the staffing of treatment rooms, as evidenced by this study.

Background— Decision aids (DAs) increase patient knowledge, reduce decisional conflict, and promote shared decision making (SDM). The extent to which they do so across diverse sociodemographic patient groups is unknown. Methods and Results— We conducted a patient-level meta-analysis of 7 randomized trials of DA versus usual care comprising 771 encounters between patients and clinicians discussing treatment options for chest pain, myocardial infarction, diabetes mellitus, and osteoporosis. Using a random effects model, we examined the impact of sociodemographic patient characteristics (age, sex, education, income, and insurance status) on the outcomes of knowledge transfer, decisional conflict, and patient involvement in SDM. Because of small numbers of people of color in the study population, we were not powered to investigate the role of race. Most patients were aged ≥65 years (61%), white (94%), and women (59%); two thirds had greater than a high school education. Compared with usual care, DA patients gained knowledge, were more likely to know their risk, and had less decisional conflict along with greater involvement in SDM. These gains were largely consistent across sociodemographic patient groups, with DAs demonstrating similar efficacy when used with vulnerable patients such as the elderly and those with less income and less formal education. Differences in efficacy were found only in knowledge of risk in 1 subgroup, with greater efficacy among those with higher education (35% versus 18%; P =0.02). Conclusions— In this patient-level meta-analysis of 7 randomized trials, DAs were efficacious across diverse sociodemographic groups as measured by knowledge transfer, decisional conflict, and patient involvement in SDM. To the extent that DAs increase patient knowledge and participation in SDM, they have potential to impact health disparities related to these factors.

Chronic conditions are the most important cause of morbidity, mortality and health expense in the USA. Comparative effectiveness research (CER) seeks to provide evidence supporting the relative value of alternative courses of action. This research often concludes with estimates of the likelihood of desirable and undesirable outcomes associated with each option. Patients with chronic conditions should engage with their clinicians in deciding which of these options best fits their goals and context. In practicing shared decision-making (SDM), clinicians and patients should make use of CER to inform their deliberations. In these ways, SDM and CER are interrelated. SDM translates CER into patient-centered practice, while CER provides the backbone evidence about options and outcomes in SDM interventions. In this review, we explore the potential for a SDM–CER synergy in improving healthcare for patients with chronic conditions.

AbstractBackgroundVarious components of the skin biopsy requisition form (SBRF) may contribute to accurate dermatopathologic interpretation.MethodsA search of electronic databases, including those of Ovid MEDLINE In‐Process & Other Non‐Indexed Citations, Ovid MEDLINE, Ovid EMBASE, the Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials, and Scopus, was conducted from inception to October 2011. Two authors independently screened all articles for eligibility. Inclusion criteria required material to represent original studies on skin biopsy and pathology requisition forms. Data abstracted from each article that met the inclusion criteria included details of the study characteristics, including the study location, type of pathology practice, specimen type, type of dermatoses, medical specialty of the requesting provider, suggested clinical components, and format of the SBRF.ResultsOf 32 titles and abstracts reviewed, seven articles were included. From these, we determined that dermatologists, general practitioners and surgeons completed SBRFs. Commonly included components were patient demographics and requesting clinician characteristics. Clinical information and differential diagnosis were provided in 4% (two of 48 surgeons) to 36% (18 of 50 dermatologists) of requisitions. Most SBRFs did not include information on specimen type, clinical morphology, photographs or clinical history.ConclusionsThe limited medical literature demonstrates variation in the content of SBRFs across clinicians and practices, and suggests an important target for improvement in the quality of communication and dermatologic care by requesting clinicians and pathologists.