Computed tomographic angiography measures of coronary plaque in clinical trials: opportunities and considerations to accelerate drug translation

Atherosclerotic coronary artery disease (CAD) is the causal pathological process driving most major adverse cardiovascular events (MACE) worldwide. The complex development of atherosclerosis manifests as intimal plaque which occurs in the presence or absence of traditional risk factors. There are numerous effective medications for modifying CAD but new pharmacologic therapies require increasingly large and expensive cardiovascular outcome trials to assess their potential impact on MACE and to obtain regulatory approval. For many disease areas, nearly a half of drugs are approved by the U.S. Food & Drug Administration based on beneficial effects on surrogate endpoints. For cardiovascular disease, only low-density lipoprotein cholesterol and blood pressure are approved as surrogates for cardiovascular disease. Valid surrogates of CAD are urgently needed to facilitate robust evaluation of novel, beneficial treatments and inspire investment. Fortunately, advances in non-invasive imaging offer new opportunity for accelerating CAD drug development. Coronary computed tomography angiography (CCTA) is the most advanced candidate, with the ability to measure accurately and reproducibly characterize the underlying causal disease itself. Indeed, favourable changes in plaque burden have been shown to be associated with improved outcomes, and CCTA may have a unique role as an effective surrogate endpoint for therapies that are designed to improve CAD outcomes. CCTA also has the potential to de-risk clinical endpoint-based trials both financially and by enrichment of participants at higher likelihood of MACE. Furthermore, total non-calcified, and high-risk plaque volume, and their change over time, provide a causally linked measure of coronary artery disease which is inextricably linked to MACE, and represents a robust surrogate imaging biomarker with potential to be endorsed by regulatory authorities. Global consensus on specific imaging endpoints and protocols for optimal clinical trial design is essential as we work towards a rigorous, sustainable and staged pathway for new CAD therapies.

A pan-influenza antibody inhibiting neuraminidase via receptor mimicry

Rapidly evolving influenza A viruses (IAVs) and influenza B viruses (IBVs) are major causes of recurrent lower respiratory tract infections. Current influenza vaccines elicit antibodies predominantly to the highly variable head region of haemagglutinin and their effectiveness is limited by viral drift¹ and suboptimal immune responses². Here we describe a neuraminidase-targeting monoclonal antibody, FNI9, that potently inhibits the enzymatic activity of all group 1 and group 2 IAVs, as well as Victoria/2/87-like, Yamagata/16/88-like and ancestral IBVs. FNI9 broadly neutralizes seasonal IAVs and IBVs, including the immune-evading H3N2 strains bearing an N-glycan at position 245, and shows synergistic activity when combined with anti-haemagglutinin stem-directed antibodies. Structural analysis reveals that D107 in the FNI9 heavy chain complementarity-determinant region 3 mimics the interaction of the sialic acid carboxyl group with the three highly conserved arginine residues (R118, R292 and R371) of the neuraminidase catalytic site. FNI9 demonstrates potent prophylactic activity against lethal IAV and IBV infections in mice. The unprecedented breadth and potency of the FNI9 monoclonal antibody supports its development for the prevention of influenza illness by seasonal and pandemic viruses.

Factors associated with health-related quality of life in heart failure in 23,000 patients from 40 countries: results of the global congestive heart failure research program

Background

Poor health-related quality of life (HRQL) is common in heart failure (HF) and strongly predicts death and HF hospitalization in all regions of the world. Understanding facors associated with HRQL could therefore lead to improved prognosis in HF patients. Despite that the majority of HF occurs in low- and middle-income countries, there are limited data characterizing self-perceived health HRQL and its correlates in these settings.

Purpose

To examine clinical and social correlates of HRQL in patients with HF from high- (HIC), upper middle- (UMIC), lower middle-(LMIC) and low-income (LIC) countries.

Methods

Between 2017 and 2020, we enrolled 23,292 patients with HF (32% inpatients, 61% men) from 40 countries in the Global Congestive Heart Failure Study. We recorded HRQL at baseline using Kansas City Cardiomyopathy Questionnaire (KCCQ)-12. In a cross-sectional analysis, we compared age- and sex-adjusted mean KCCQ-12 summary scores (SS: 0–100, higher=better) between patients from different country income levels. We used multivariable linear regression examining correlations (estimates expressed as β-coefficients) of KCCQ-12-SS with sociodemographic-, comorbidity-, treatment- and symptom-covariates. The adjusted model (37 covariates) was informed by univariable findings, clinical importance and backward selection. We used partial R2-estimates to understand the contribution to the variability in KCCQ-12-SS of 4 different groups of covariates. (sociodemographic, comorbidities, treatments and signs and symptoms of congestion).

Results

Mean age was 63 years and 40% were in NYHA class III–IV. Average HRQL was 55± SD 0.5. It was 62.5 (95% CI 62.0–63.1) in HIC, 56.8 (56.1–57.4) in UMIC, 48.6 (48.0–49.3) in LMIC, and 38.5 (37.3–39.7) in LICs (p<0.0001). Strong correlates (β-coefficient [95% CI]) of KCCQ-12-SS were NYHA class III vs class I/II (−12.1 [−12.8 to −11.4] and class IV vs. class I/II (−16.5 [−17.7 to −15.3]), effort dyspnea (−9.5 [−10.2 to −8.8]) and living in LIC vs. HIC (−5.8 [−7.1 to −4.4]). Symptoms explained most of the KCCQ-12-SS variability (partial R2=0.32 of total adjusted R2=0.51), followed by sociodemographic factors (R2=0.12). Results were consistent in populations across income levels.

Conclusion

The most important correlates of HRQL in HF patients relate to HF symptom severity, irrespective of country-income level. Improved symptom control may have a big impact on HRQL, especially in LICs.

Funding Acknowledgement

Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Bayer AG

Computerized sources of AIDS information

Because of the proliferation of information about AIDS and the importance of disseminating information in the fight against AIDS, information professionals must rely on current AIDS information often found only in computerized sources. This paper identifies computerized sources of AIDS information, including databases, bulletin boards, stackware, games and quizzes. Four major AIDS-specific databases are reviewed and compared using three cross-database searches.