Social and clinical vulnerability in stroke and STEMI management during the COVID-19 pandemic: a registry-based study.

OBJECTIVE: This study aims to evaluate whether the first wave of the COVID-19 pandemic resulted in a deterioration in the quality of care for socially and/or clinically vulnerable stroke and ST-segment elevation myocardial infarction (STEMI) patients. DESIGN: Two cohorts of STEMI and stroke patients in the Aquitaine neurocardiovascular registry. SETTING: Six emergency medical services, 30 emergency units, 14 hospitalisation units and 11 catheterisation laboratories in the Aquitaine region in France. PARTICIPANTS: This study involved 9218 patients (6436 stroke and 2782 STEMI patients) in the neurocardiovascular registry from January 2019 to August 2020. PRIMARY OUTCOME MEASURES: Care management times in both cohorts: first medical contact-to-procedure time for the STEMI cohort and emergency unit admission-to-imaging time for the stroke cohort. Associations between social (deprivation index) and clinical (age >65 years, neurocardiovascular history) vulnerabilities and care management times were analysed using multivariate linear mixed models, with an interaction on the time period (pre-wave, per-wave and post-first COVID-19 wave). RESULTS: The first medical contact procedure time was longer for elderly (p<0.001) and 'very socially disadvantaged' (p=0.003) STEMI patients, with no interaction regarding the COVID-19 period (age, p=0.54; neurocardiovascular history, p=0.70; deprivation, p=0.64). We found no significant association between vulnerabilities and the admission imaging time for stroke patients, and no interaction with respect to the COVID-19 period (age, p=0.81; neurocardiovascular history, p=0.34; deprivation, p=0.95). CONCLUSIONS: This study revealed pre-existing inequalities in care management times for vulnerable STEMI and stroke patients; however, these inequalities were neither accentuated nor reduced during the first COVID-19 wave. Measures implemented during the crisis did not alter the structured emergency pathway for these patients. TRIAL REGISTRATION NUMBER: NCT04979208.

Effects of healthcare system transformations spurred by the COVID-19 pandemic on management of stroke and STEMI: a registry-based cohort study in France.

OBJECTIVE: To assess the impact of changes in use of care and implementation of hospital reorganisations spurred by the COVID-19 pandemic (first wave) on the acute management times of patients who had a stroke and ST-segment elevation myocardial infarction (STEMI). DESIGN: Two cohorts of patients who had an STEMI and stroke in the Aquitaine Cardio-Neuro-Vascular (CNV) registry. SETTING: 6 emergency medical services, 30 emergency units (EUs), 14 hospitalisation units and 11 cathlabs in the Aquitaine region. PARTICIPANTS: This study involved 9218 patients (6436 patients who had a stroke and 2782 patients who had an STEMI) in the CNV Registry from January 2019 to August 2020. METHOD: Hospital reorganisations, retrieved in a scoping review, were collected from heads of hospital departments. Other data were from the CNV Registry. Associations between reorganisations, use of care and care management times were analysed using multivariate linear regression mixed models. Interaction terms between use-of-care variables and period (pre-wave, per-wave and post-wave) were introduced. MAIN OUTCOME MEASURES: STEMI cohort, first medical contact-to-procedure time; stroke cohort, EU admission-to-imaging time. RESULTS: Per-wave period management times deteriorated for stroke but were maintained for STEMI. Per-wave changes in use of care did not affect STEMI management. No association was found between reorganisations and stroke management times. In the STEMI cohort, the implementation of systematic testing at admission was associated with a 41% increase in care management time (exp=1.409, 95% CI 1.075 to 1.848, p=0.013). Implementation of plan blanc, which concentrated resources in emergency activities, was associated with a 19% decrease in management time (exp=0.801, 95% CI 0.639 to 1.023, p=0.077). CONCLUSIONS: The pandemic did not markedly alter the functioning of the emergency network. Although stroke patient management deteriorated, the resilience of the STEMI pathway was linked to its stronger structuring. Transversal reorganisations, aiming at concentrating resources on emergency care, contributed to maintenance of the quality of care. TRIAL REGISTRATION NUMBER: NCT04979208.

Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study.

During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators related to the epidemic. To determine the performance of keyword-search algorithm in call reports to emergency medical communication centers (EMCC) to describe trends in symptoms during the COVID-19 crisis. We retrospectively retrieved all free text call reports from the EMCC of the Gironde department (SAMU 33), France, between 2005 and 2020 and classified them with a simple keyword-based algorithm to identify symptoms relevant to COVID-19. A validation was performed using a sample of manually coded call reports. The six selected symptoms were fever, cough, muscle soreness, dyspnea, ageusia and anosmia. We retrieved 38,08,243 call reports from January 2005 to October 2020. A total of 8539 reports were manually coded for validation and Cohen's kappa statistics ranged from 75 (keyword anosmia) to 59% (keyword dyspnea). There was an unprecedented peak in the number of daily calls mentioning fever, cough, muscle soreness, anosmia, ageusia, and dyspnea during the COVID-19 epidemic, compared to the past 15 years. Calls mentioning cough, fever and muscle soreness began to increase from February 21, 2020. The number of daily calls reporting cough reached 208 on March 3, 2020, a level higher than any in the previous 15 years, and peaked on March 15, 2020, 2 days before lockdown. Calls referring to dyspnea, anosmia and ageusia peaked 12 days later and were concomitant with the daily number of emergency room admissions. Trends in symptoms cited in calls to EMCC during the COVID-19 crisis provide insights into the natural history of COVID-19. The content of calls to EMCC is an efficient epidemiological surveillance data source and should be integrated into the national surveillance system.

Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classification.

OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators in order to monitor both the epidemic growth and potential public health consequences of preventative measures such as lockdown. We assessed whether the automatic classification of the content of calls to emergency medical communication centers could provide relevant and responsive indicators. METHODS: We retrieved all 796,209 free-text call reports from the emergency medical communication center of the Gironde department, France, between 2018 and 2020. We trained a natural language processing neural network model with a mixed unsupervised/supervised method to classify all reasons for calls in 2020. Validation and parameter adjustment were performed using a sample of 39,907 manually-coded free-text reports. RESULTS: The number of daily calls for flu-like symptoms began to increase from February 21, 2020 and reached an unprecedented level by February 28, 2020 and peaked on March 14, 2020, 3 days before lockdown. It was strongly correlated with daily emergency room admissions, with a delay of 14 days. Calls for chest pain and stress and anxiety, peaked 12 days later. Calls for malaises with loss of consciousness, non-voluntary injuries and alcohol intoxications sharply decreased, starting one month before lockdown. No noticeable trends in relation to lockdown was found for other groups of reasons including gastroenteritis and abdominal pain, stroke, suicide and self-harm, pregnancy and delivery problems. DISCUSSION: The first wave of the COVID-19 crisis came along with increased levels of stress and anxiety but no increase in alcohol intoxication and violence. As expected, call related to road traffic crashes sharply decreased. The sharp decrease in the number of calls for malaise was more surprising. CONCLUSION: The content of calls to emergency medical communication centers is an efficient epidemiological surveillance data source that provides insights into the societal upheavals induced by a health crisis. The use of an automatic classification system using artificial intelligence makes it possible to free itself from the context that could influence a human coder, especially in a crisis situation. The COVID-19 crisis and/or lockdown induced deep modifications in the population health profile.

Predicting acute coronary syndrome in males and females with chest pain who call an emergency medical communication centre.

BACKGROUND: Chest pain is a frequent reason for calls in emergency medical communication centre (EMCC). Detecting a coronary origin by phone is a challenge. This is especially so as the presentations differ according to gender. We aimed to establish and validate a sex-based model to predict a coronary origin of chest pain in patients calling an EMCC. METHODS: This prospective cohort study enrolled patients at 18 years of age or older who called the EMCC because of non-traumatic chest pain. The main outcome was the diagnosis of acute coronary syndrome (ACS) determined by expert evaluation of patient files. RESULTS: During 18 months, 3727 patients were enrolled: 2097 (56%) men and 1630 (44%) women. ACS was diagnosed in 508 (24%) men and 139 (9%) women. For men, independent factors associated with an ACS diagnosis were age, tobacco use, severe and permanent pain; retrosternal, breathing non-related and radiating pain; and additional symptoms. The area under the receiver operating characteristic curve (AUC) was 0.76 (95% confidence interval [CI] 0.73-0.79) for predicting ACS. The accuracy of the male model to predict ACS was validated in a validation dataset (Hosmer-Lemeshow test: p = 0.554); the AUC was 0.77 (95%CI 0.73-0.80). For women, independent factors associated with an ACS diagnosis were age ≥ 60 years, personal history of coronary artery disease, and breathing non-related and radiating pain. The AUC was 0.79 (95%CI 0.75-0.83). The accuracy of the female model to predict ACS was not validated in the validation dataset (Hosmer-Lemeshow test: p = 0.035); the AUC was 0.67 (95%CI 0.60-0.74). CONCLUSIONS: Predictors of an ACS diagnosis in patients calling an EMCC for chest pain differ between men and women. We developed an accurate predictive model for men, but for women, the accuracy was poor. TRIAL REGISTRATION: This study is registered with ClinicalTrials.gov ( NCT02042209 ).

Air pollution and activation of mobile medical team for out-of-hospital cardiac arrest.

BACKGROUND: The association between air pollution exposure and cardiovascular events is well established, and the effect of short-term exposure on out-of-hospital cardiac arrest (OHCA) has received some attention. The effect of air pollution exposure and the activation of mobile intensive care units (MICUs) for cardiac arrest have never been studied. OBJECTIVE: We analyzed associations between air pollutants and MICU activation for OHCA. METHOD: This is a retrospective study including 4558 patients with OHCA and MICU activation from 2007 to 2012. A time-stratified case crossover design was used. Particulate matter (PM) of median aerodynamic diameter less than 2.5 µm (PM2.5), less than 10 µm, and ozone were the 3 main pollutants used to determine the effects of pollution exposure on the event. RESULTS: A daily average increase of 27.6 µg/m(3) in ozone was associated with an increase of MICU activation for OHCA the following day (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.03-1.22). For women, a daily average increase of 27.6 µg/m(3) in ozone was associated with an increase of MICU activation for OHCA the following day (OR, 1.19; 95% CI, 1.01-1.37). An hourly average increase of 10.5 µg/m(3) in PM2.5 was associated with an increase of MICU activation for OHCA in the current hour (OR, 1.11; 95% CI, 1.02-1.19). For men, an increase in PM2.5 was associated with an increase in MICU activation for OHCA the current hour (OR, 1.10; 95% CI, 1.01-1.20). No association was found with PM of median aerodynamic diameter less than 10 µm. CONCLUSION: An association was found between air pollution and MICU activation for OHCA (ozone and PM2.5).

Web-based general public opinion study of automated versus manual external chest compression.

BACKGROUND: Only a few cardiac-arrest victims receive external chest compression (ECC) by a bystander. OBJECTIVE: To test the hypothesis that the general public might start ECC more often if they used an automated device rather than a manual massage. METHODS: Web-based public opinion survey based on two short videos, one showing manual ECC and the other automated ECC (Autopulse, Zoll, France). Advantages and disadvantages (perceived efficacy, reproducibility, hazard, apprehension and acceptability) of the two techniques were evaluated on a visual analogue scale (VAS). A VAS of 1-3 was considered to indicate preference for manual ECC, 8-10 for automated ECC and 4-7 for no clear preference. The final global score was the difference between advantage and disadvantage scores. RESULTS: Overall, 1769 persons answered the questionnaire. The median VAS score for each variable was as follows: 7 (25-75 percentiles, 5-9) for efficacy, 8 (3-10) for reproducibility, 5 (3-8) for hazard, 5 (2-8) for apprehension and 5 (2-8) for acceptability. The overall median score indicated that 1034 persons (58%) preferred use of the device, 618 (35%) preferred manual ECC and 117 (7%) had no preference. There was no significant difference in the preference according to gender, education and training in first aid. However, older persons (0) preferred the use of device. CONCLUSIONS: The better 'advantages over disadvantages' score for the automated ECC device over manual ECC indicated that the general public might envisage use of the device. This could contribute to increase the frequency of resuscitation attempts by bystanders.

Prehospital administration of enoxaparin before primary angioplasty for ST-elevation acute myocardial infarction.

We hypothesized that primary percutaneous coronary intervention (PCI) could be performed with prehospital injections of enoxaparin for ST segment elevation myocardial infarction (STEMI). Enoxaparin has been studied in combination with fibrinolysis in STEMI, but has not been evaluated as anticoagulant regimen for primary PCI. In a prospective registry, 143 consecutive patients with STEMI received prehospital 0.5 mg/kg intravenous (i.v.) bolus followed by 1 mg/kg subcutaneous enoxaparin before immediate transport for PCI. We focused on anti-Xa activities before and after PCI, bleedings, infarct-related artery patency, and major adverse cardiac events at day 30. Anti-Xa activity was at the target level (>0.5 IU/ml) in 99% of patients during PCI, and in 100% 4 hr after injections; over-anticoagulation (>1.5 IU/ml) was noted in 9 and 2%, respectively at start and 4 hr after injections. Bleeding complications with enoxaparin were rare: major in 1.4% (no intracranial hemorrhages), minor in 2.1%. A patent infarct-related artery (TIMI 2 + 3) was observed in 40.6% of the patients before PCI. TIMI 3 flow was obtained in 88.1% of the cases after PCI. Major adverse cardiac events at 30 days occurred in 5.6% of cases: death 2.8%, reinfarction 3.5%, and target lesion revascularisation 3.5%. Prehospital i.v. and subcutaneous enoxaparin provides simple and rapid anticoagulation for PCI in STEMI patients. Enoxaparin dose needs to be reduced regarding the 9% of over-anticoagulation. This study suggests the potential of enoxaparin as an alternative anticoagulant regimen for primary PCI.