Perioperative risk of bleeding with antithrombotic agents in macular surgery: a national, prospective, multicentre study.

PURPOSE: To compare the risk of haemorrhagic complications in elective macular surgery between patients with no antithrombotic (AT) treatment (defined as patients with no history of AT therapy or who discontinued AT therapy) and patients who continued AT treatment during the surgery. METHODS: E-case report forms were prospectively recorded in a database before vitreoretinal surgery and 1 month after. Data on patient characteristics, surgical techniques, haemorrhagic complications and antithrombotic status were collected. Patients with retinal detachment, proliferative diabetic retinopathy and previous retinal haemorrhage were excluded. RESULTS: A total of 748 procedures (single procedure in one eye per patient) were performed between January and May 2019. Among them, 202 patients (27.0%) were treated with antithrombotic therapy at the time of surgery: 19.5% with antiplatelet agents (n = 146), 6.3% with anticoagulants (n = 47) including 3.2% (n = 24) patients treated with novel oral anticoagulants, 0.8% (n = 6) with anticoagulants and antiplatelet agents, and 0.4% (n = 3) with heparin. Overall, 92 patients (12.3%) developed one or more haemorrhagic complications, of which 63 (11.5%) and 29 (14.4%) were in the non-AT and AT group, respectively. The multivariate logistic regression model showed no difference between AT treatment groups regarding ocular bleeding complications (odds ratio [OR] 1.2, 95% confidence interval (CI) [0.7-2.2], p = 0.54). CONCLUSION: No cases of uncontrolled or severe perioperative haemorrhage in patients continuing antithrombotic agents were reported in this selected population. For the majority of the patients taking antiplatelets or anticoagulants, these agents could be safely continued during macular surgery.

Optimization of automated external defibrillator deployment outdoors: An evidence-based approach.

BACKGROUND: The benefits of available automatic external defibrillators (AEDs) for out-of-hospital cardiac arrests (OHCAs) are well known, but strategies for their deployment outdoors remain somewhat arbitrary. Our study sought to assess different strategies for AED deployment. METHODS: All OHCAs in Paris between 2000 and 2010 were prospectively recorded and geocoded. A guidelines-based strategy of placing an AED in locations where more than one OHCA had occurred within the past five years was compared to two novel strategies: a grid-based strategy with a regular distance between AEDs and a landmark-based strategy. The expected number of AEDs necessary and their median (IQR) distance to the nearest OHCA were assessed for each strategy. RESULTS: Of 4176 OHCAs, 1372 (33%) occurred in public settings. The first strategy would result in the placement of 170 AEDs, with a distance to OHCA of 416 (180-614) m and a continuous increase in the number of AEDS. In the second strategy, the number of AEDs and their distance to the closest OHCA would change with the grid size, with a number of AEDs between 200 and 400 seeming optimal. In the third strategy, median distances between OHCAs and AEDs would be 324m if placed at post offices (n=195), 239 at subway stations (n=302), 137 at bike-sharing stations (n=957), and 142 at pharmacies (n=1466). CONCLUSION: This study presents an original evidence-based approach to strategies of AED deployment to optimize their number and location. This rational approach can estimate the optimal number of AEDs for any city.

Survival from sports-related sudden cardiac arrest: In sports facilities versus outside of sports facilities.

BACKGROUND: We sought to evaluate frequency, characteristics, and outcomes of sudden cardiac arrest (SCA) during sports activities according to the location of occurrence (in sports facilities vs those occurring outside of sports facilities). METHODS AND RESULTS: This is an observational 5-year prospective national French survey of subjects 10 to 75 years old presenting with SCA during sports (2005-2010), in 60 French administrative regions (covering a population of 35 million people). Of the 820 SCA during sports, 426 SCAs (52%) occurred in sports facilities. Overall, a substantially higher survival rate at hospital discharge was observed among SCA in sports facilities (22.8%, 95% CI 18.8-26.8) compared to those occurring outside (8.0%, 95% CI 5.3-10.7) (P < .0001). Patients with SCA in sports facilities were younger (42.1 vs 51.3 years, P < .0001) and less frequently had known cardiovascular diseases (P < .0001). The events were more often witnessed (99.8% vs 84.9%, 0.0001), and bystander cardiopulmonary resuscitation was more frequently initiated (35.4% vs 25.9%, P = .003). Delays of intervention were significantly shorter when SCA occurred in sports facilities (9.3 vs 13.6, P=0.03), and the proportion of initially shockable rhythm was higher (58.8% vs 33.1%, P < .0001). Better survival in sports facilities was mainly explained by concomitant circumstances of occurrence (adjusted odds ratio 1.48, 95% CI 0.88-2.49, P = .134). CONCLUSIONS: Sports-related SCA is not a homogeneous entity. The 3-fold higher survival rate reported among sports-related SCA is mainly due to cases that occur in sports facilities, whereas SCA during sports occurring outside of sports facilities has the usual very low rate of survival.

Population movement and sudden cardiac arrest location.

BACKGROUND: Although the benefits of automatic external defibrillators are undeniable, their effectiveness could be dramatically improved. One of the key issues is the disparity between the locations of automatic external defibrillators and sudden cardiac arrests (SCAs). METHODS AND RESULTS: From emergency medical services and other Parisian agencies, data on all SCAs occurring in public places in Paris, France, were prospectively collected between 2000 and 2010 and recorded using 2020 grid areas. For each area, population density, population movements, and landmarks were analyzed. Of the 4176 SCAs, 1255 (30%) occurred in public areas, with a highly clustered distribution of SCAs, especially in areas containing major train stations (12% of SCAs in 0.75% of the Paris area). The association with population density was poor, with a nonsignificant increase in SCAs with population density (P=0.4). Occurrence of public SCAs was, in contrast, highly associated with population movements (P<0.001). In multivariate analysis including other landmarks in each grid cell in the model and demographic characteristics, population movement remained significantly associated with the occurrence of SCA (odds ratio, 1.48; 95% confidence interval, 1.34-1.63; P<0.0001), as well as grid cells containing train stations (odds ratio, 3.80; 95% confidence interval, 2.66-5.36; P<0.0001). CONCLUSIONS: Using a systematic analysis of determinants of SCA in public places, we demonstrated the extent to which population movements influence SCA distribution. Our findings also suggested that beyond this key risk factor, some areas are dramatically associated with a higher risk of SCA.