Did lockdown influence bystanders' willingness to perform cardiopulmonary resuscitation? A worldwide registry-based perspective.

AIM: Bystander cardiopulmonary resuscitation (CPR) significantly increases the survival rate after out-of-hospital cardiac arrest. Using population-based registries, we investigated the impact of lockdown due to Covid-19 on the provision of bystander CPR, taking background changes over time into consideration. METHODS: Using a registry network, we invited all registries capable of delivering data from 1. January 2017 to 31. December 2020 to participate in this study. We used negative binominal regression for the analysis of the overall results. We also calculated the rates for bystander CPR. For every participating registry, we analysed the incidence per 100000 inhabitants of bystander CPR and EMS-treated patients using Poisson regression, including time trends. RESULTS: Twenty-six established OHCA registries reported 742 923 cardiac arrest patients over a four-year period covering 1.3 billion person-years. We found large variations in the reported incidence between and within continents. There was an increase in the incidence of bystander CPR of almost 5% per year. The lockdown in March/April 2020 did not impact this trend. The increase in the rate of bystander CPR was also seen when analysing data on a continental level. We found large variations in incidence of bystander CPR before and after lockdown when analysing data on a registry level. CONCLUSION: There was a steady increase in bystander CPR from 2017 to 2020, not associated with an increase in the number of ambulance-treated cardiac arrest patients. We did not find an association between lockdown and bystanders' willingness to start CPR before ambulance arrival, but we found inconsistent patterns of changes between registries.

Older adults who resistance train improve physical function and adopt long-term exercise habits despite COVID-19 restrictions.

Exercise interventions targeting older adults often focus on acute changes, but lasting improvements require the adoption of long-term, independent exercise habits. This study aimed to assess the influence of eight-weeks of resistance training (SSSH) on clinically relevant fall-risk indicators in older adults and to evaluate if SSSH participation altered independent exercise engagement 12 months later. Sixty adults aged 50 yrs+ were randomised into SSSH, Walk, or Control groups and completed questionnaires and muscle strength and flexibility tests pre/post 8 weeks. SSSH and Walk met 2x/wk for 60 min. Twelve months later 24 participants also completed a follow-up survey amid COVID-19 restrictions. Eight-week group changes were analysed using one-way ANOVA with Bonferroni post hoc analyses, and survey responses were compared using paired t-tests with a Bonferroni correction. SSSH demonstrated greater absolute changes over 8 weeks in sleep quality, activity engagement, 30-second-sit-to-stand and upper-body flexibility than Walk or Controls (p < 0.05). Twelve months later, SSSH participants reported significantly increasing independent resistance (+68), aerobic (+125) and flexibility (+26) training minutes per week (all p < 0.01). In conclusion, SSSH reduced fall risk in 8 weeks and sparked older adults to begin and sustain positive exercise habits 12 months later, despite COVID-19 restrictions.

The epidemiology of out-of-hospital cardiac arrest in Australia and New Zealand: A binational report from the Australasian Resuscitation Outcomes Consortium (Aus-ROC).

INTRODUCTION: The Australasian Resuscitation Outcomes Consortium (Aus-ROC) out-of-hospital cardiac arrest (OHCA) Epistry (Epidemiological Registry) now covers 100% of Australia and New Zealand (NZ). This study reports and compares the Utstein demographics, arrest characteristics and outcomes of OHCA patients across our region. METHODS: We included all OHCA cases throughout 2019 as submitted to the Epistry by the eight Australian and two NZ emergency medical services (EMS). We calculated crude and age-standardised incidence rates and performed a national and EMS regional comparison. RESULTS: We obtained data for 31,778 OHCA cases for 2019: 26,637 in Australia and 5,141 in NZ. Crude incidence was 107.9 per 100,000 person-years in Australia and 103.2/100,000 in NZ. Overall, the majority of OHCAs occurred in adults (96%), males (66%), private residences (76%), were unwitnessed (63%), of presumed medical aetiology (83%), and had an initial monitored rhythm of asystole (64%). In non-EMS-witnessed cases, 38% received bystander CPR and 2% received public defibrillation. Wide variation was seen between EMS regions for all OHCA demographics, arrest characteristics and outcomes. In patients who received an EMS-attempted resuscitation (13,664/31,778): 28% (range across EMS = 13.1% to 36.7%) had return of spontaneous circulation (ROSC) at hospital arrival and 13% (range across EMS = 9.9% to 20.7%) survived to hospital discharge/30-days. Survival in the Utstein comparator group (bystander-witnessed in shockable rhythm) varied across the EMS regions between 27.4% to 42.0%. CONCLUSION: OHCA across Australia and NZ has varied incidence, characteristics and survival. Understanding the variation in survival and modifiable predictors is key to informing strategies to improve outcomes.

No apparent effect of the COVID-19 pandemic on out-of-hospital cardiac arrest incidence and outcome in Western Australia.

BACKGROUND: We examined the incidence, patient and arrest characteristics, and survival outcomes of out-of-hospital cardiac arrest (OHCA) in Western Australia (WA) in the first wave of the COVID-19 pandemic. METHODS: Adult OHCA cases attended by St John WA Emergency Medical Service (EMS) between 16th March and 17th May 2020 ('COVID-19 period') were compared with those for the same period in 2017-9. We calculated crude OHCA incidence for all OHCA cases and modelled the effect of the 'COVID-19 period' on 30-day survival for OHCA cases with EMS attempted resuscitation; comparing our results with those published for Victoria (Australia), which had a higher incidence of COVID-19. RESULTS: In WA there was no significant difference between the 2020 'COVID-19 period' (n = 423) and the same period in 2017-9 (n = 1,334) in the OHCA incidence in adults (117.9 vs 126.1 per 100,000 person-years, p = 0.23). In OHCA cases with EMS-resuscitation attempted, there was no change in bystander cardiopulmonary resuscitation rates. Despite an increase in EMS response time, neither the crude nor risk-adjusted odds ratio (aOR) for 30-day survival in 2020 was significantly different to 2017-9 (11.7% vs 9.6%; p = 0.45) (aOR = 1.19, 95% confidence interval 0.57-2.51, p = 0.65). This contrasts with a significant reduction in survival to hospital discharge reported in Victoria. CONCLUSION: In WA, with a relatively low incidence of COVID-19, OHCA incidence and survival was not significantly different during the initial wave of the COVID-19 pandemic compared to the three previous years. Our study suggests that OHCA survival may be more closely related to the incidence of COVID-19 in the community, rather than COVID-19 restrictions per se.

Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission.

Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and healthcare workers (HCWs) across multiple geographically distinct UK hospitals, obtaining 173 high-quality SARS-CoV-2 genomes. We integrated patient movement and staff location data into the analysis of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight patient contact clusters (PCC) with significantly increased similarity in genomic variants compared to non-clustered samples. Incorporation of HCW location further increased the number of individuals within PCCs and identified additional links in SARS-CoV-2 transmission pathways. Patients within PCCs carried viruses more genetically identical to HCWs in the same ward location. SARS-CoV-2 genome sequencing integrated with patient and HCW movement data increases identification of outbreak clusters. This dynamic approach can support infection control management strategies within the healthcare setting.