Citations

Background To investigate heart failure ( HF ) hospitalization trends in the United States and change in trends after publication of management guidelines. Methods and Results Using data from the National Inpatient Sample and the US Census Bureau, annual national estimates in HF admissions and in‐hospital mortality were estimated for years 2001 to 2014, during which an estimated 57.4 million HF ‐associated admissions occurred. Rates (95% confidence intervals) of admissions and in‐hospital mortality among primary HF hospitalizations declined by an average annual rate of 3% (2.5%–3.5%) and 3.5% (2.9%–4.0%), respectively. Compared with 2001 to 2005, the average annual rate of decline in primary HF admissions was more in 2006 to 2009 (ie, 3.4% versus 1.1%; P =0.02). In 2010 to 2014, primary HF admission continued to decline by an average annual rate of 4.3% (95% confidence interval, 3.9%–5.1%), but this was not significantly different from 2006 to 2009 ( P =0.14). In contrast, there was no further decline in in‐hospital mortality trend after the guideline‐release years. For hospitalizations with HF as the secondary diagnosis, there was an upward trend in admissions in 2001 to 2005. However, the trend began to decline in 2006 to 2009, with an average annual rate of 2.4% (95% confidence interval, 0.8%–4%). Meanwhile, there was a consistent decline in in‐hospital mortality by an average annual rate of 3.7% (95% confidence interval, 3.3%–4.2%) during the study period, but the decline was more in 2006 to 2009 compared with 2001 to 2005 (ie, 5.4% versus 3.4%; P <0.001). Beyond 2009, admission and in‐hospital mortality rates continued to decline, although this was not significantly better than the preceding interval. Conclusions From 2001 to 2014, HF admission and in‐hospital mortality rates declined significantly in the United States; the greatest improvements coincided with the publication of the 2005 American College of Cardiology/American Heart Association HF guidelines.

Background The recommended maximum age and time window for intravenous alteplase treatment of acute ischemic stroke differs between the Europe Union and United States. Aims We compared the effects of alteplase in cohorts defined by the current Europe Union or United States marketing approval labels, and by hypothetical revisions of the labels that would remove the Europe Union upper age limit or extend the United States treatment time window to 4.5 h. Methods We assessed outcomes in an individual-patient-data meta-analysis of eight randomized trials of intravenous alteplase (0.9 mg/kg) versus control for acute ischemic stroke. Outcomes included: excellent outcome (modified Rankin score 0–1) at 3–6 months, the distribution of modified Rankin score, symptomatic intracerebral hemorrhage, and 90-day mortality. Results Alteplase increased the odds of modified Rankin score 0–1 among 2449/6136 (40%) patients who met the current European Union label and 3491 (57%) patients who met the age-revised label (odds ratio 1.42, 95% CI 1.21−1.68 and 1.43, 1.23−1.65, respectively), but not in those outside the age-revised label (1.06, 0.90−1.26). By 90 days, there was no increased mortality in the current and age-revised cohorts (hazard ratios 0.98, 95% CI 0.76−1.25 and 1.01, 0.86–1.19, respectively) but mortality remained higher outside the age-revised label (1.19, 0.99–1.42). Similarly, alteplase increased the odds of modified Rankin score 0-1 among 1174/6136 (19%) patients who met the current US approval and 3326 (54%) who met a 4.5-h revised approval (odds ratio 1.55, 1.19−2.01 and 1.37, 1.17−1.59, respectively), but not for those outside the 4.5-h revised approval (1.14, 0.97−1.34). By 90 days, no increased mortality remained for the current and 4.5-h revised label cohorts (hazard ratios 0.99, 0.77−1.26 and 1.02, 0.87–1.20, respectively) but mortality remained higher outside the 4.5-h revised approval (1.17, 0.98–1.41). Conclusions An age-revised European Union label or 4.5-h-revised United States label would each increase the number of patients deriving net benefit from alteplase by 90 days after acute ischemic stroke, without excess mortality.

Introduction UpToDate is widely used by clinicians worldwide and includes more than 9400 recommendations that apply the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. GRADE guidance warns against strong recommendations when certainty of the evidence is low or very low (discordant recommendations) but has identified five paradigmatic situations in which discordant recommendations may be justified. Objectives Our objective was to document the strength of recommendations in UpToDate and assess the frequency and appropriateness of discordant recommendations. Design Analytical survey of all recommendations in UpToDate. Methods We identified all GRADE recommendations in UpToDate and examined their strength (strong or weak) and certainty of the evidence (high, moderate or low certainty). We identified all discordant recommendations as of January 2015, and pairs of reviewers independently classified them either into one of the five appropriate paradigms or into one of three categories inconsistent with GRADE guidance, based on the evidence presented in UpToDate. Results UpToDate included 9451 GRADE recommendations, of which 6501 (68.8%) were formulated as weak recommendations and 2950 (31.2%) as strong. Among the strong, 844 (28.6%) were based on high certainty in effect estimates, 1740 (59.0%) on moderate certainty and 366 (12.4%) on low certainty. Of the 349 discordant recommendations 204 (58.5%) were judged appropriately (consistent with one of the five paradigms); we classified 47 (13.5%) as good practice statements; 38 (10.9%) misclassified the evidence as low certainty when it was at least moderate and 60 (17.2%) warranted a weak rather than a strong recommendation. Conclusion The proportion of discordant recommendations in UpToDate is small (3.7% of all recommendations) and the proportion that is truly problematic (strong recommendations that would best have been weak) is very small (0.6%). Clinicians should nevertheless be cautious and look for clear explanations—in UpToDate and elsewhere—when guidelines offer strong recommendations based on low certainty evidence.

32 Background: The link between patient concerns and clinical systems delivery is often suboptimal. We developed a case management system for palliative care which transforms the patient’s greatest concerns into actionable clinical pathways. Methods: The system collects patients’ single greatest and second greatest concern plus Quality of Life (QOL) data (pain, fatigue and overall QOL single-items scored 0-10 with 10 representing worst pain/fatigue, or best QOL) and produces a report to guide the physician and patient. The system presents ten “buttons” in a xylophone-like grid: Personal Relationships, Monitoring Health, Emotional Health, Money, Health Behaviors, Medication Troubles, Care Access, Work Worries, Physical Health and Care Planning. We performed a quality improvement study at Mayo Clinic sites. Results: 409 patients participated in at least one survey from 11/04/2015 to 9/22/2016 (620 total surveys). The most common Main Concern was Physical Health 265/620 (43%) followed by Monitoring Health (17%), Medication (8%), and Emotional Health, Money, and Health Behaviors (7% each), Personal Relationships (6%). Future Care Planning, Work, and Care Access/Coordination were rarely chosen ( < 5%). The most common Second greatest concern was Health Behaviors 73/409 (18%) followed by Physical Health (17%). 93/122 (67%) patients changed their greatest concern from baseline to subsequent visits. The mean QOL, fatigue and pain at baseline were 4.8, 6.0 and 4.8 respectively, indicating substantial clinically significant deficits. Post baseline mean scores improved by a maximum of 0.8, 1.1, and 0.9 points respectively, representing clinically meaningful effects. On average it took 8 minutes for patients to use the system. Conclusions: The system was quick and easy to utilize. The personal impact concerns (physical/emotional health, medications) were most often cited as the greatest concern, while care issues were de-emphasized by patients. Patients and physicians praised the system for making visits more efficient and raising issues that otherwise might not have been addressed. This system has the potential to improve patient well-being and clinical outcomes, as well as to reduce burden on clinicians and optimize case management activities.

Objective Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. Methods GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. Results Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. Conclusions These data suggest several plausible genetic links between DLBCL and SLE.

IntroductionVascularized bone allotransplantation may provide new options for reconstruction of segmental defects if problems of long‐term immune modulation can be solved. The current literature lacks an orthotopic large animal model, limited to bone and without the confounding effects of other tissue types, permitting a multifaceted evaluation before new methods are used clinically. The purpose of this study was to develop a large animal model for vascularized bone allotransplantation.Materials and methodsEight porcine hind limbs were dissected. Length, diameter, and location of all hindlimb vessels were measured and a single nutrient vessel supplying the tibial diaphysis identified enabling its use as a vascularized bone allotransplant. Four Yucatan minipigs were divided into two pairs with a major swine leukocyte antigen mismatch. A 3.5 cm tibial segment including its nutrient pedicle was raised simultaneously from each pig and transplanted into the matched defect of the other animal. Microarterial anastomosis of the pedicle and 3‐drug immunosuppression maintained VCA viability. Bone healing and limb function were followed for 16 weeks.ResultsA consistent tibia diaphyseal nutrient artery arose from the caudal tibial artery to enter bone a mean 2.8 mm distal to the tibial tubercle with a pedicle length of 6.6 ± 3.3 mm and diameter of 1.6 ± 0.2 mm. Using this pedicle, we reconstructed a 3.5 cm tibial defect with a vascularized bone allotransplant in four animals. Immediate weightbearing as well as progressive bone healing was demonstrated.ConclusionWe have developed a vascularized tibial bone allotranplantation large‐animal model suitable for future bone‐only allotranplantation research in mini‐pigs.

SummaryDue to the introduction of newer, more efficacious treatment options, there is a pressing need for policy makers and public health officials to develop or adapt national hepatitis C virus (HCV) control strategies to the changing epidemiological landscape. To do so, detailed, country‐specific data are needed to characterize the burden of chronic HCV infection. In this study of 17 countries, a literature review of published and unpublished data on HCV prevalence, viraemia, genotype, age and gender distribution, liver transplants and diagnosis and treatment rates was conducted, and inputs were validated by expert consensus in each country. Viraemic prevalence in this study ranged from 0.2% in Hong Kong to 2.4% in Taiwan, while the largest viraemic populations were in Nigeria (2 597 000 cases) and Taiwan (569 000 cases). Diagnosis, treatment and liver transplant rates varied widely across the countries included in this analysis, as did the availability of reliable data. Addressing data gaps will be critical for the development of future strategies to manage and minimize the disease burden of hepatitis C.