Time of day for vaccination, outcomes, and relative effectiveness of high-dose vs. standard-dose quadrivalent influenza vaccine: a post-hoc analysis of the DANFLU-1 randomized clinical trial.

OBJECTIVES: Morning influenza vaccination enhances antibody response. In this posthoc analysis of the DANFLU-1 trial, we sought to evaluate the association between time of day for vaccination (ToV) and outcomes, and whether ToV modified the relative effectiveness of high-dose (QIV-HD) vs. standard-dose (QIV-SD) quadrivalent influenza vaccine. METHODS: DANFLU-1 was a pragmatic feasibility trial of QIV-HD vs. QIV-SD. Outcomes included hospitalizations and mortality. For subgroup analysis, the population was dichotomized at median ToV into two groups (early and late). RESULTS: The study population included 12,477 participants. Mean age was 71.7±3.9 years with 5,877 (47.1%) female participants. Median ToV was 11.29AM. Earlier ToV was associated with fewer respiratory hospitalizations independent of vaccine type, which persisted in adjusted analysis (IRR 0.88 per 1-hour decrement (95% CI 0.78- 0.98, p=0.025). No effect modification by continuous or dichotomous ToV was found. In subgroup analysis, effects consistently favored QIV-HD against hospitalizations for pneumonia or influenza (early: IRR 0.30; late: 0.29), all-cause hospitalizations (early: IRR 0.87; late: 0.86), and mortality (early: HR 0.53; late: 0.50). CONCLUSION: In this exploratory post-hoc analysis, earlier ToV was associated with fewer respiratory hospitalizations. The relative effectiveness of QIV-HD vs. QIV-SD was not modified by ToV. Further research is needed to confirm findings. TRIAL REGISTRATION: Clinicaltrials.gov: NCT05048589.

Electronic nudges for sustained influenza vaccination uptake in older adults: the nationwide randomized NUDGE-FLU-2 trial.

Digital letter interventions have proven effective in increasing influenza vaccination rates. In this trial, we sought to further refine these strategies and investigated whether the effectiveness of the strategies could be sustained across consecutive influenza seasons. We enrolled all eligible Danish citizens 65 years of age or older in a nationwide registry-based randomized implementation trial during the 2023-2024 influenza season. Households of participants were randomly assigned in a 2.45:1:1:1:1:1:1 ratio to usual care or six different behaviorally informed electronic letter-based nudges delivered before the influenza vaccination period. The primary endpoint was receipt of influenza vaccination. Statistical analyses accounted for household-level clustering. A total of 881,373 participants (mean age 74.1 ± 6.5 years, 52.1% female) were randomized across 649,487 households. The primary endpoint was met; influenza vaccination rates were higher in the pooled intervention letter group compared to usual care (76.32% versus 76.02%; difference, 0.31 percentage points; 99.29% confidence interval, 0.00-0.61; P = 0.007). Although no individual letter significantly increased influenza vaccination rates, the directionality of effect was consistent across all letters. Effectiveness was particularly pronounced in participants who had not received influenza vaccination during the preceding season (Pinteraction = 0.010). Effectiveness was consistent regardless of whether participants had received a similar electronic letter-based nudge in the preceding season (Pinteraction = 0.26). In summary, electronic letter-based nudges successfully increased influenza vaccination among older adults, and our results suggest that these highly scalable strategies can be implemented effectively and safely across consecutive vaccination seasons.ClinicalTrials.gov registration: NCT06030726 .

Relative Effectiveness of High-Dose vs. Standard-Dose Quadrivalent Influenza Vaccine in Older Adults with Cardiovascular Disease: A Prespecified Analysis of the DANFLU-1 Randomized Clinical Trial.

Background: Influenza vaccination reduces the risk of adverse outcomes in patients with cardiovascular disease (CVD). We sought to evaluate whether the presence of CVD modified the relative effectiveness of high-dose (QIV-HD) vs. standard-dose (QIV-SD) quadrivalent influenza vaccine in this prespecified analysis of the DANFLU-1 trial. Methods: DANFLU-1 was a pragmatic, open-label, randomized feasibility trial of QIV-HD vs. QIV-SD in adults aged 65-79 years during the 2021/2022 influenza season in Denmark. Vaccines were allocated in a 1:1 ratio. Baseline and follow-up data regarding diagnoses and mortality were obtained from Danish national registers. The trial is registered at Clinicaltrials.gov: NCT05048589. The CVDs assessed included heart failure (HF), ischemic heart disease (IHD), atrial fibrillation, and a combined group denoted "chronic CVD" consisting of the aforementioned diseases, among others. Prespecified outcomes included hospitalizations for pneumonia or influenza, respiratory disease, CVD, cardiorespiratory disease, all-cause hospitalizations, and mortality. Effect modification was tested using interaction terms. Results: The final study population included 12,477 participants (mean age 71.7±3.9 years, 5,877 (47.1%) female), of whom 2,540 (20.4%) had chronic CVD. QIV-HD vs. QIV-SD was associated with a lower incidence of hospitalizations for pneumonia or influenza (IRR 0.30 (95%-CI 0.14-0.64)) and all-cause mortality (IRR 0.51 (0.30-0.86)) regardless of chronic CVD (p for interaction=0.57 and 0.49, respectively). The relative effectiveness of QIV-HD vs. QIV-SD against all-cause hospitalizations was modified in participants with chronic CVD (Overall: IRR 0.87 (0.76-0.99); no chronic CVD: 0.79 (0.67-0.92); chronic CVD: 1.11 (0.88-1.39); p for interaction=0.026). No other effect modification was observed by the presence of chronic CVD, HF, IHD, or atrial fibrillation. Conclusions: The relative effectiveness of QIV-HD vs. QIV-SD was consistent against hospitalizations for pneumonia or influenza and all-cause mortality regardless of chronic CVD. However, the relative effectiveness against all-cause hospitalizations was modified by the presence of chronic CVD. These results should be considered hypothesis-generating.

Prognostic importance of ischemic heart disease for patients with atrial fibrillation undergoing catheter ablation.

BACKGROUND: Ischemic heart disease (IHD) has been linked to an increased risk of atrial fibrillation (AF). However, data are sparse regarding the role of IHD in AF recurrence after catheter ablation. OBJECTIVE: We sought to investigate whether preexisting or new-onset IHD is associated with a greater risk of AF recurrence after ablation. METHODS: With use of Danish nationwide registries, all patients undergoing first-time AF ablation in Denmark from 2010 to 2020 were identified. The primary outcome was AF recurrence defined by AF-related hospital admission or antiarrhythmic drug use within 1 year after ablation excluding a 3-month blanking period. IHD was defined as an International Classification of Diseases, Tenth Revision diagnosis of IHD or prior coronary revascularization. RESULTS: Of 12,162 patients undergoing first-time ablation for AF (mean age, 62 years; 30% female), 20% had preexisting IHD. Preexisting IHD was associated with an increased risk of AF recurrence in univariable log-binomial logistic regression (relative risk, 1.09; 95% CI, 1.04-1.14; P < .001). However, after multivariable adjustment including procedural year, preexisting IHD was no longer associated with an increased risk of AF recurrence (relative risk, 1.02; 95% CI, 0.97-1.06; P = .42). In a nested case-control study of those without preexisting IHD before ablation (n = 9778), newly diagnosed IHD after ablation was associated with an increased risk of AF recurrence in multivariable analysis (hazard ratio, 3.03; 95% CI, 1.84-4.99; P < .001). CONCLUSION: The presence of IHD does not appear to reduce the effectiveness of AF ablation procedures. However, the emergence of IHD after AF ablation may serve as a trigger for AF that is insufficiently suppressed by prior ablation.

Rationale and design of NUDGE-FLU-CHRONIC and NUDGE-FLU-2: Two nationwide randomized trials of electronic nudges to increase influenza vaccination among patients with chronic diseases and older adults during the 2023/2024 influenza season.

BACKGROUND: Yearly influenza vaccination is strongly recommended for older adults and patients with chronic diseases including cardiovascular disease (CVD); however, vaccination rates remain suboptimal, particularly among younger patients. Electronic letters incorporating behavioral nudges are highly scalable public health interventions which can potentially increase vaccination, but further research is needed to determine the most effective strategies and to assess effectiveness across different populations. The purpose of NUDGE-FLU-CHRONIC and NUDGE-FLU-2 are to evaluate the effectiveness of electronic nudges delivered via the Danish governmental electronic letter system in increasing influenza vaccination among patients with chronic diseases and older adults, respectively. METHODS: Both trials are designed as pragmatic randomized implementation trials enrolling all Danish citizens in their respective target groups and conducted during the 2023/2024 influenza season. NUDGE-FLU-CHRONIC enrolls patients aged 18-64 years with chronic diseases. NUDGE-FLU-2 builds upon the NUDGE-FLU trial conducted in 2022/2023 and aims to expand the evidence by testing both previously successful and new nudges among adults ≥65 years during a subsequent influenza season. Persons with exemptions from the electronic letter system are excluded from both trials. In both trials, participants are randomized in a 2.45:1:1:1:1:1:1 ratio to either receive no electronic letter (usual care) or to receive one of 6 different behaviorally informed electronic letters. NUDGE-FLU-CHRONIC has randomized 299,881 participants with intervention letters delivered on September 24, 2023, while NUDGE-FLU-2 has randomized 881,373 participants and delivered intervention letters on September 13, 2023. Follow-up is currently ongoing. In both trials, the primary endpoint is receipt of influenza vaccination on or before January 1, 2024, and the secondary endpoint is time to vaccination. Clinical outcomes including respiratory and cardiovascular hospitalizations, all-cause hospitalization, and mortality are included as prespecified exploratory endpoints. Prespecified individual-level pooled analyses will be conducted across NUDGE-FLU, NUDGE-FLU-CHRONIC, and NUDGE-FLU-2. DISCUSSION: NUDGE-FLU-CHRONIC is the first nationwide randomized trial of electronic nudges to increase influenza vaccination conducted among 18-64-year-old high-risk patients with chronic diseases. NUDGE-FLU-2 will provide further evidence on the effectiveness of electronic nudges among older adults ≥65 years. Collectively, the NUDGE-FLU trials will provide an extensive evidence base for future public health communications. TRIAL REGISTRATION: NUDGE-FLU-CHRONIC: Clinicaltrials.gov: NCT06030739, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030739. NUDGE-FLU-2: Clinicaltrials.gov: NCT06030726, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030726.

Computer vision-based helmet use registration for e-scooter riders - The impact of the mandatory helmet law in Copenhagen.

PROBLEM: E-scooters are a new form of mobility used more frequently in urban environments worldwide. As there is evidence of an increased risk of head injuries, helmets are recommended and (less frequently) legislated. Denmark has enacted mandatory e-scooter helmet use legislation from January 1, 2022. So far, it is unclear how this newly implemented law influenced helmet use of e-scooter riders in Denmark immediately after its implementation. METHOD: In this observational study, we register and compare e-scooter helmet use before the mandatory helmet use legislation (December 2021) and after (February 2022). As observational survey data collection in the field can be highly time-consuming, we conducted a video-based observation survey. We trained and applied a computer vision algorithm to automatically register e-scooter helmet use in the video data. RESULTS: The trained algorithm produces accurate helmet use data, which does not differ significantly from human-registered helmet use. In applying the algorithm to video data collected in December 2021 and February 2022, we register an overall e-scooter helmet use of 4.4% in n = 1054 riders. Splitting the observation between the time before and after the implementation of the helmet use law reveals a significant increase in helmet use from 1.80% to 5.56%. DISCUSSION: In this study, we successfully train and apply an object detection algorithm to register accurate helmet use data in videos collected in Copenhagen, Denmark. Using this algorithm, we find a significant impact of a new mandatory e-scooter helmet use law on e-scooter riders' helmet use behavior. Limitations of the study as well as future research needs, are discussed. PRACTICAL APPLICATIONS: Computer vision algorithms can be used for accurate e-scooter helmet assessments. Implementing a mandatory helmet use law can increase helmet use of e-scooters at specific observation sites.

Improving knowledge of cyclist crashes based on hospital data including crash descriptions from open text fields.

INTRODUCTION: In this study we explore the added value of bicycle crash descriptions from open text fields in hospital records from the Aarhus municipality in Denmark. We also explore how bicycle crash data from the hospital complements crash data registered by the police in the same area and time period. METHOD: The study includes 5,313 Danish bicycle crashes, of which 4,205 were registered at the hospital and 1,078 by the police. All crashes occurred from 2010 to 2015. We performed an in-depth analysis of the open text fields on hospital records to identify factors associated with each crash using four categories: bicyclist, road, bicycle, and the other party. We employed the chi-squared test to compare the distribution of variables between crashes registered at the hospital and by the police. A binary logit model was used to estimate the probability that a crash factor is identified, and that each crash factor is associated with a single-bicycle crash. RESULTS: The open-ended text fields in hospital records provide detailed information about crash factors not available in police records, including riding speed, inattention, clothing, specific road conditions, and bicycle defects. The factors alcohol and curb had the highest odds of being identified in relation to a single-bicycle crash. Crash data registered at the hospital included a larger number of bicycle crashes, particularly single-bicycle crashes and crashes with slight injuries only. CONCLUSION: Crash information registered at the hospital in Aarhus Municipality contributes to a better understanding of bicycle crashes due to detailed information about crash-associated factors as well as information about a larger number of bicycle crashes, particularly single-bicycle crashes. Practical implication: Efforts to improve access to detailed information about bicycle crashes are needed to provide a better basis for bicycle crash prevention.

Factors influencing the injury severity of single-bicycle crashes.

The majority of research on bicyclist injury severity relates to bicycle-motor vehicle crashes, even though single-bicycle crashes make up more than half of bicycle crashes. This study explores the factors related to the injury severity outcome of single-bicycle crashes. We use single-bicycle crash data obtained from medical records collected in the period 2010-2015 combined with road maintenance data. The data includes three injury severity categories: 'severe injury', 'slight injury', 'no injury'. The relation between the factors surrounding single-bicycle crashes and the resulting injury severity is estimated using a latent class ordered probit model. The model estimation identifies three latent classes where the likelihood of cyclist membership depends on the bicyclist's age and gender. Furthermore, several factors appear to affect the likelihood of injuries in single-bicycle crashes. These are the road geometry (i.e. if the crash occurred on a bicycle lane or a road section), maintenance level, and the interaction between road geometry and maintenance level. The findings suggest that single-bicycle crashes on road sections result in more severe injuries than single-bicycle crashes on bicycle lanes. The largest effect is seen when a single-bicycle crash occurs on a road section with a poorly maintained bicycle lane being available. Crashes on low volume roads with few bicyclists are also related to an increased probability of severe injury as well as crashes occurring after dark.