Workforce affiliation in primary and secondary prevention Implantable Cardioverter Defibrillator patients - a nationwide Danish study.

BACKGROUND AND AIM: There are a paucity of studies investigating workforce affiliation in connection with first-time ICD-implantation. This study explored workforce affiliation and risk markers associated with not returning to work in patients with ICDs. METHODS: Using the nationwide Danish registers, patients with a first-time ICD-implantation between 2007-2017 and of working age (30-65 years) were identified. Descriptive statistic and logistic regression models were used to describe workforce affiliation and to estimate risk markers associated with not returning to work, respectively. All analyses were stratified by indication for implantation (primary and secondary prevention). RESULTS: Of the 4,659 ICD-patients of working age, 3,300 patients (71%) were members of the workforce (employed, on sick leave or unemployed) (primary: 1428 (43%); secondary:1872 (57%)). At baseline, 842 primary and 1477 secondary prevention ICD-patients were employed. Of those employed at baseline, 81% primary and 75% secondary prevention ICD-patients returned to work within one-year, whereof more than 80% remained employed the following year. Among patients receiving sick leave benefits at baseline, 25% were employed after one-year. Risk markers of not returning to work were 'younger age' in primary prevention ICD-patients, while 'female sex', 'LVEF ≤40', 'lower income' and '≥3 comorbidities' were risk markers in secondary prevention ICD-patients. Lower educational level was a risk marker in both patient groups. CONCLUSIONS: High return-to-work proportions following ICD-implantation, with a subsequent high level of employment maintenance were found. Several significant risk markers of not returning to work were identified including 'lower educational level', that posed a risk in both patient groups.Trial registration number: Capital Region of Denmark, P-2019-051.

Association of Degree of Urbanization and Survival in Out-of-Hospital Cardiac Arrest.

Background Survival from out-of-hospital cardiac arrest (OHCA) varies across regions. The aim of this study was to evaluate the association between urbanization (rural, suburban, and urban areas), bystander interventions (cardiopulmonary resuscitation and defibrillation), and 30-day survival from OHCAs in Denmark. Methods and Results We included OHCAs not witnessed by ambulance staff in Denmark from January 1, 2016, to December 31, 2020. Patients were divided according to the Eurostat Degree of Urbanization Tool in rural, suburban, and urban areas based on the 98 Danish municipalities. Poisson regression was used to estimate incidence rate ratios. Logistic regression (adjusted for ambulance response time) tested differences between the groups with respect to bystander interventions and survival, according to degree of urbanization. A total of 21 385 OHCAs were included, of which 8496 (40%) occurred in rural areas, 7025 (33%) occurred in suburban areas, and 5864 (27%) occurred in urban areas. Baseline characteristics, as age, sex, location of OHCA, and comorbidities, were comparable between groups. The annual incidence rate ratio of OHCA was higher in rural areas (1.54 [95% CI, 1.48-1.58]) compared with urban areas. Odds for bystander cardiopulmonary resuscitation were lower in suburban (0.86 [95% CI, 0.82-0.96]) and urban areas (0.87 [95% CI, 0.80-0.95]) compared with rural areas, whereas bystander defibrillation was higher in urban areas compared with rural areas (1.15 [95% CI, 1.01-1.31]). Finally, 30-day survival was higher in suburban (1.13 [95% CI, 1.02-1.25]) and urban areas (1.17 [95% CI, 1.05-1.30]) compared with rural areas. Conclusions Degree of urbanization was associated with lower rates of bystander defibrillation and 30-day survival in rural areas compared with urban areas.

Registered prodromal symptoms of out-of-hospital cardiac arrest among patients calling the medical helpline services.

Background Early identification of warning symptoms among out-of-hospital cardiac arrest (OHCA) patients remains challenging. Thus, we examined the registered prodromal symptoms of patients who called medical helpline services within 30-days before OHCA. Methods Patients unwitnessed by emergency medical services (EMS) aged ≥18 years during their OHCA were identified from the Danish Cardiac Arrest Registry (2014-2018) and linked to phone records from the 24-h emergency helpline (1-1-2) and out-of-hours medical helpline (1813-Medical Helpline) in Copenhagen before the arrest. The registered symptoms were categorized into chest pain; breathing problems; central nervous system (CNS)-related/unconsciousness; abdominal/back/urinary; psychiatric/addiction; infection/fever; trauma/exposure; and unspecified (diverse from the beforementioned categories). Analyses were divided by the time-period of calls (0-7 days/8-30 days preceding OHCA) and call type (1-1-2/1813-Medical Helpline). Results Of all OHCA patients, 18% (974/5442) called helpline services (males 56%, median age 76 years[Q1-Q3:65-84]). Among these, 816 had 1145 calls with registered symptoms. The most common symptom categories (except for unspecified, 33%) were breathing problems (17%), trauma/exposure (17%), CNS/unconsciousness (15%), abdominal/back/urinary (12%), and chest pain (9%). Most patients (61%) called 1813-Medical Helpline, especially for abdominal/back/urinary (17%). Patients calling 1-1-2 had breathing problems (24%) and CNS/unconsciousness (23%). Nearly half of the patients called within 7 days before their OHCA, and CNS/unconsciousness (19%) was the most registered. The unspecified category remained the most common during both time periods (32%;33%) and call type (24%;39%). Conclusions Among patients who called medical helplines services up to 30-days before their OHCA, besides symptoms being highly varied (unspecified (33%)), breathing problems (17%) were the most registered symptom-specific category.

Contacts With the Health Care System Before Out-of-Hospital Cardiac Arrest.

Background It remains challenging to identify patients at risk of out-of-hospital cardiac arrest (OHCA). We aimed to examine health care contacts in patients before OHCA compared with the general population that did not experience an OHCA. Methods and Results Patients with OHCA with a presumed cardiac cause were identified from the Danish Cardiac Arrest Registry (2001-2014) and their health care contacts (general practitioner [GP]/hospital) were examined up to 1 year before OHCA. In a case-control study (1:9), OHCA contacts were compared with an age- and sex-matched background population. Separately, patients with OHCA were examined by the contact type (GP/hospital/both/no contact) within 2 weeks before OHCA. We included 28 955 patients with OHCA. The weekly percentages of patient contacts with GP the year before OHCA were constant (25%) until 1 week before OHCA when they markedly increased (42%). Weekly percentages of patient contacts with hospitals the year before OHCA gradually increased during the last 6 months (3.5%-6.6%), peaking at the second week (6.8%) before OHCA; mostly attributable to cardiovascular diseases (21%). In comparison, there were fewer weekly contacts among controls with 13% for GP and 2% for hospital contacts (P<0.001). Within 2 weeks before OHCA, 57.8% of patients with OHCA had a health care contact, and these patients had more contacts with GP (odds ratio [OR], 3.17; 95% CI, 3.09-3.26) and hospital (OR, 2.32; 95% CI, 2.21-2.43) compared with controls. Conclusions The health care contacts of patients with OHCA nearly doubled leading up to the OHCA event, with more than half of patients having health care contacts within 2 weeks before arrest. This could have implications for future preventive strategies.

Long-term outcomes after out-of-hospital cardiac arrest in relation to socioeconomic status.

AIMS: This study aimed to examine whether socioeconomic differences exist in long-term outcomes after out-of-hospital cardiac arrest (OHCA). METHODS: We included 2309 30-day OHCA survivors ≥ 30 years of age from the Danish Cardiac Arrest Registry, 2001-2014, divided in tertiles of household income (low, medium, high). Absolute probabilities were estimated using logistic regression for 1-year outcomes and cause-specific Cox regression for 5-year outcomes. Differences between income-groups were standardized with respect to age, sex, education and comorbidities. RESULTS: High-income compared to low-income patients had highest 1-year (96.4% vs. 84.2%) and 5-year (87.6% vs. 64.1%) survival, and lowest 1-year (11.3% vs. 7.4%) and 5-year (13.7% vs. 8.6%) risk of anoxic brain damage/nursing home admission. The corresponding standardized probability differences were 8.2% (95%CI 4.7-11.6%) and 13.9% (95%CI 8.2-19.7%) for 1- and 5-year survival, respectively; and -4.5% (95%CI -8.2 to -1.2%) and -5.1% (95%CI -9.3 to -0.9%) for 1- and 5-year risk of anoxic brain damage/nursing home admission, respectively. Among 831 patients < 66 years working prior to OHCA, 72.1% returned to work within 1 year and 80.8% within 5 years. High-income compared to low-income patients had the highest chance of 1-year (76.4% vs. 58.8%) and 5-year (85.3% vs. 70.6%) return to work with the corresponding absolute probability difference of 18.0% (95%CI 3.8-32.7%) for 1-year and 9.4% (95%CI -3.4 to 22.3%) for 5-year. CONCLUSION: Patients of high socioeconomic status had higher probability of long-term survival and return to work, and lower risk of anoxic brain damage/nursing home admission after OHCA compared to patients of low socioeconomic status.

The mediating role of effective treatments in the relationship between income level and survival in patients with heart failure: a sex- and cohabitation-stratified study.

AIMS: Patients with heart failure and low income have a high mortality risk. We examined whether lower survival among low-income patients with heart failure could be explained by different use of ß -blockers, renin-angiotensin system inhibitors (RASi), and implanted devices compared with high-income patients. METHODS AND RESULTS: We linked Danish national registries to identify patients with new-onset heart failure between 2005 and 2016. A total of 18 308 patients was included in the main analysis. We collected information on medical treatment and device therapy after discharge. We investigated the remaining income disparity if everybody had the same probability of treatment as the high-income patients. We used causal mediation analysis to examine to what extent treatment differences mediate the association between income and 1-year mortality in strata defined by sex and cohabitation status. If low-income patients had the same probability of initiating ß-blockers and RASi treatment as high-income patients, low-income men who lived alone would increase initiation of treatment by 12.4% (CI: 10.0% to 14.9%) and as a result reduce their absolute 1-year mortality by 1.0% (CI: -1.4% to -0.5%). If low-income patients had the same probability of not having breaks in medical treatment and getting device therapy, as high-income patients, low-income patients would increase the probability of not having breaks in treatment between 1.8% and 5.8% and increase the probability of getting device therapy between 1.0% and 3.8%, across strata of sex and cohabitation status. CONCLUSION: Lower rates of treatment initiation appear to mediate the poorer survival seen among patients with heart failure and low income, but only in males living alone.

Socioeconomic disparities in prehospital factors and survival after out-of-hospital cardiac arrest.

OBJECTIVE: It remains unknown whether patient socioeconomic factors affect interventions and survival after out-of-hospital cardiac arrest (OHCA), and whether a socioeconomic effect on bystander interventions affects survival. Therefore, this study examined patient socioeconomic disparities in prehospital factors and survival. METHODS: From the Danish Cardiac Arrest Registry, patients with OHCA ≥30 years were identified, 2001-2014, and divided into quartiles of household income (highest, high, low, lowest). Associations between income and bystander cardiopulmonary resuscitation (CPR) and 30-day survival with bystander CPR as mediator were analysed by logistic regression and mediation analysis in private witnessed, public witnessed, private unwitnessed and public unwitnessed arrests, adjusted for confounders. RESULTS: We included 21 480 patients. Highest income patients were younger, had higher education and were less comorbid relative to lowest income patients. They had higher odds for bystander CPR with the biggest difference in private unwitnessed arrests (OR 1.74, 95% CI 1.47 to 2.05). For 30-day survival, the biggest differences were in public witnessed arrests with 26.0% (95% CI 22.4% to 29.7%) higher survival in highest income compared with lowest income patients. Had bystander CPR been the same for lowest income as for highest income patients, then survival would be 25.3% (95% CI 21.5% to 29.0%) higher in highest income compared with lowest income patients, resulting in elimination of 0.79% (95% CI 0.08% to 1.50%) of the income disparity in survival. Similar trends but smaller were observed in low and high-income patients, the other three subgroups and with education instead of income. From 2002 to 2014, increases were observed in both CPR and survival in all income groups. CONCLUSION: Overall, lower socioeconomic status was associated with poorer prehospital factors and survival after OHCA that was not explained by patient or cardiac arrest-related factors.

Socioeconomic differences in coronary procedures and survival after out-of-hospital cardiac arrest: A nationwide Danish study.

AIM: It remains unclear whether socioeconomic differences exist in post-resuscitation care in out-of-hospital cardiac arrests (OHCA). We aimed to examine socioeconomic differences in coronary procedures and survival after OHCA. METHODS: OHCA patients ≥30 years of cardiac cause with a hospital admission from the Danish Cardiac Arrest Registry, 2001-2014, were divided according to quartiles of household income (lowest, low, high, highest). Associations of income, coronary procedures and 30-day survival were examined by age-standardized incidence rates and incidence rate ratios (IRR), and by logistic regression. RESULTS: A total of 6105 patients were included. Higher-income patients were younger, males and had less comorbidity-burden. Higher-income patients had higher incidence rates for coronary angiographies both day 0-1 and day 2-7 after OHCA (day 0-1: highest: IRR 1.79, 95%CI 1.46-2.21; high: IRR 1.28, 95%CI 1.10-1.51; low: IRR 1.05, 95%CI 0.90-1.23), compared to lowest. Fifty-four percentage of the patients undergoing a coronary angiography received percutaneous-coronary-intervention or coronary-artery-bypass-grafting with no difference among three of the four groups, but lower IRR in low-income patients (IRR 0.74, 95%CI 0.61-0.89) compared to lowest. Higher-income patients had also higher odds for 30-day survival compared to lowest, both in patients with (highest: OR 1.61, 95%CI 1.12-2.32; high: OR 1.13, 95%CI 0.80-1.60; low: OR 1.14, 95%CI 0.81-1.61) and without (highest: OR 2.54, 95%CI 1.83-3.53; high: OR 1.41, 95%CI 1.06-1.87; low: OR 1.12, 95%CI 0.86-1.47) coronary angiography day 0-1. CONCLUSION: Higher-income patients were found associated with more performed coronary angiographies after OHCA, and higher odds for 30-day survival.

Relationship between socioeconomic status and incidence of out-of-hospital cardiac arrest is dependent on age.

BACKGROUND: The association between socioeconomic status (SES) and incidence of out-of-hospital cardiac arrest (OHCA) is not fully understood. The aim of this study was to see if area-level socioeconomic differences, measured in terms of area-level income and education, are associated with the incidence of OHCA, and if this relationship is dependent on age. METHODS: We included OHCAs that occurred in Stockholm County between the 1st of January 2006 and the 31st of December 2017, the victims being confirmed residents (n=10 574). We linked the home address to a matching neighbourhood (base unit) via available socioeconomic and demographic information. Socioeconomic variables and incidence rates were assessed by using cross-sectional values at the end of each year. We used zero-inflated negative binomial regression to calculate incidence rate ratios (IRRs). RESULTS: Among 1349 areas with complete SES information, 10 503 OHCAs occurred between 2006 and 2017. The IRR in the highest versus the lowest SES area was 0.61 (0.50-0.75) among persons in the 0-44 age group. Among patients in the 45-64 age group, the corresponding IRR was 0.55 (0.47-0.65). The highest SES areas versus the lowest showed an IRR of 0.59 (0.50-0.70) in the 65-74 age group. In the two highest age groups, no significant association was seen (75-84 age group: 0.93 (0.80-1.08); 85+ age group: 1.05 (0.84-1.23)). Similar crude patterns were seen among both men and women. CONCLUSIONS: Areas characterised by high SES showed a significantly lower incidence of OHCA. This relationship was seen up to the age of 75, after which the relationship disappeared, suggesting a levelling effect.

Regional variation in out-of-hospital cardiac arrest: Incidence and survival - A nationwide study of regions in Denmark.

AIM: Regional variation in incidence and survival after out-of-hospital cardiac arrest (OHCA) may be caused by many factors including differences in definitions and reporting. We examined regional differences in Denmark. METHODS: From the Danish Cardiac Arrest Registry we identified adult OHCA patients between 2009-2014 of presumed cardiac cause. Patients were grouped according to the five administrative/geographical regions of Denmark and survival was examined based on all arrest-cases (30-day survival percentage) and number of survivors per 100,000 inhabitants. RESULTS: We included 12,902 OHCAs of which 1550 (12.0 %) were alive 30 days after OHCA. No regional differences were observed in age, sex or comorbidities. Incidence of OHCA ranged from 32.9 to 42.4 per 100,000 inhabitants; 30-day survival percentages ranged from 8.5% to 13.8% and number of survivors per 100,000 inhabitants ranged from 3.5 to 5.9, across the regions. In one of the regions car-manned pre-hospital physicians were discontinued from 2011. Here, the incidence of OHCA per 100,000 inhabitants increased markedly from 37.1 in 2011 to 52.2 in 2014 and 30-day survival percentage decreased from 10.9 % in 2011 to 7.5 % in 2014; while the number of survivors per 100,000 inhabitants stagnated from 4.0 in 2011 to 3.9 in 2014. In comparison, survival increased in the other four regions. CONCLUSION: Differences in incidence and 30-day survival after OHCA were observed between the five regions of Denmark. Comparisons of survival should not only be based on survival percentages, but also on number of survivors of the background population as inclusion bias can influence survival outcomes.

Pre-hospital factors and survival after out-of-hospital cardiac arrest according to population density, a nationwide study.

AIM: This study aimed to examine the impact of population density on bystander cardiopulmonary resuscitation (CPR) and survival after out-of-hospital cardiac arrest (OHCA). METHODS: Through the Danish Cardiac Arrest Registry (2001-2013), OHCAs ≥18 years of presumed cardiac cause were identified, and divided according to the OHCA location in four population density groups (inhabitants/km2) based on urban/rural area-definitions: low (<300/km2), medium (300-1499/km2), high (1500-2999/km2), very high (>3000/km2). The association between population density, bystander cardiopulmonary resuscitation (CPR) and survival was examined using logistic regression, adjusted for age, sex, comorbitidies and calendar-year. RESULTS: 18,248 OHCAs were identified. Patients in areas of high compared to low population density were older, more often female, had more comorbidities, more witnessed arrests (very high: 59.6% versus low: 55.0%), shorter response time (very high: 10 min versus low: 14 min), but less bystander CPR (very high: 34.3% versus low: 45.1%). Thirty-day survival was higher in areas of higher population density (very high: 10.2% vs. low 5.3%), also in best-cases of witnessed arrests with bystander CPR and response time <10 min (very high: 33.6% versus low: 13.8%). The same trends were found in adjusted analyses with lower odds for bystander CPR (odds ratio [OR] 0.55 95% confidence interval [CI] 0.46-0.66) and higher odds for 30-day survival (OR 2.78, 95%CI 1.95-3.96) in the highest population density areas compared to low. CONCLUSIONS: Having an OHCA in higher populated areas were found associated with less bystander CPR, but higher survival. Identification of area-related factors can help target future pre-hospital care.

Socioeconomic position and one-year mortality risk among patients with heart failure: A nationwide register-based cohort study.

AIMS: We sought to determine whether socioeconomic position affects the survival of patients with heart failure treated in a national healthcare system. METHODS: We linked national Danish registers, identified 145,690 patients with new-onset heart failure between 2000 and 2015, and obtained information on education and income levels. We analysed differences in survival by income quartile and educational level using multiple Cox regression, stratified by sex. We standardised one-year mortality risks according to income level by age, year of diagnosis, cohabitation status, educational level, comorbidities and medical treatment of all patients. We standardised one-year mortality risk according to educational level by age and year of diagnosis. RESULTS: One-year mortality was inversely related to income. In women the standardised average one-year mortality risk was 28.0% in the lowest income quartile and 24.3% in the highest income quartile, a risk difference of -3.8% (95% confidence interval (CI) -4.9% to -2.6%). In men the standardised one-year mortality risk was 26.1% in the lowest income quartile and 20.2% in the highest income quartile, a risk difference of -5.8% (95% CI -6.8% to -4.9%). Similar gradients in standardised mortality were present between the highest and lowest educational levels: -6.6% (95% CI -9.6% to -3.5%) among women and -5.0% (95% CI -6.3% to -3.7%) among men. CONCLUSIONS: Income and educational level affect the survival of patients with heart failure, even in a national health system. Research is needed to investigate how socioeconomic differences affect survival.

Survival of patients with and without diabetes following out-of-hospital cardiac arrest: A nationwide Danish study.

BACKGROUND: Research regarding out-of-hospital cardiac arrest (OHCA) survival of diabetes patients is sparse and it remains unknown whether initiatives to increase OHCA survival benefit diabetes and non-diabetes patients equally. We therefore examined overall and temporal survival in diabetes and non-diabetes patients following OHCA. METHODS: Adult presumed cardiac-caused OHCAs were identified from the Danish Cardiac Arrest Registry (2001-2014). Associations between diabetes and return of spontaneous circulation upon hospital arrival and 30-day survival were estimated with logistic regression adjusted for patient- and OHCA-related characteristics. RESULTS: In total, 28,955 OHCAs were included of which 4276 (14.8%) had diabetes. Compared with non-diabetes patients, diabetes patients had more comorbidities, same prevalence of bystander-witnessed arrests (51.7% vs. 52.7%) and bystander cardiopulmonary resuscitation (43.2% vs. 42.0%), more arrests in residential locations (77.3% vs. 73.0%) and were less likely to have shockable heart rhythm (23.5% vs. 27.9%). Temporal increases in return of spontaneous circulation and 30-day survival were seen for both groups (return of spontaneous circulation: 8.8% in 2001 to 22.3% in 2014 (diabetes patients) vs. 7.8% in 2001 to 25.7% in 2014 (non-diabetes patients); and 30-day survival: 2.8% in 2001 to 9.7% in 2014 vs. 3.5% to 14.8% in 2014, respectively). In adjusted models, diabetes was associated with decreased odds of return of spontaneous circulation (odds ratio 0.74 (95% confidence interval 0.66-0.82)) and 30-day survival (odds ratio 0.56 (95% confidence interval 0.48-0.65)) (interaction with calendar year p=0.434 and p=0.243, respectively). CONCLUSION: No significant difference in temporal survival was found between the two groups. However, diabetes was associated with lower odds of return of spontaneous circulation and 30-day survival.

Data concerning AED registration in the Danish AED Network, and cardiac arrest-related characteristics of OHCAs, including AED coverage and AED accessibility.

The data presented in this article is supplemental data related to the research article entitled "Automated external defibrillator accessibility is crucial for bystander defibrillation and survival: a registry-based study" (Karlsson et al., 2019). We present detailed data concerning: 1) the type of location for deployed and registered automated external defibrillators (AEDs) in the nationwide Danish AED Network; 2) the number of registered AEDs in the nationwide Danish AED Network, and changes in AED registration (according to year and type of AED location); 3) the number of AEDs being withdrawn from the AED network between the years 2007-2016. We also report data on baseline cardiac arrest-related characteristics of out-of-hospital cardiac arrests (OHCAs) that occurred in Copenhagen, Denmark, between 2008 and 2016. Cardiac arrest-related characteristics are further described according to AED accessibility (accessible vs. inaccessible AED at the time of OHCA) for OHCAs covered by an AED (AED ≤200 m route distance of an OHCA). Finally, we report data on distance to the nearest accessible AED for bystander defibrillated OHCAs covered by an AED ≤200 m route distance where the AED was inaccessible at the time of OHCA.

Automated external defibrillator accessibility is crucial for bystander defibrillation and survival: A registry-based study.

AIMS: Optimization of automated external defibrillator (AED) placement and accessibility are warranted. We examined the associations between AED accessibility, at the time of an out-of-hospital cardiac arrest (OHCA), bystander defibrillation, and 30-day survival, as well as AED coverage according to AED locations. METHODS: In this registry-based study we identified all OHCAs registered by mobile emergency care units in Copenhagen, Denmark (2008-2016). Information regarding registered AEDs (2007-2016) was retrieved from the nationwide Danish AED Network. We calculated AED coverage (AEDs located ≤200 m route distance from an OHCA) and, according to AED accessibility, the likelihoods of bystander defibrillation and 30-day survival. RESULTS: Of 2500 OHCAs, 22.6% (n = 566) were covered by a registered AED. At the time of OHCA, <50% of these AEDs were accessible (n = 276). OHCAs covered by an accessible AED were nearly three times more likely to receive bystander defibrillation (accessible: 13.8% vs. inaccessible: 4.8%, p < 0.001) and twice as likely to achieve 30-day survival (accessible: 28.8% vs. inaccessible: 16.4%, p < 0.001). Among bystander-witnessed OHCAs with shockable heart rhythms (accessible vs. inaccessible AEDs), bystander defibrillation rates were 39.8% vs. 20.3% (p = 0.01) and 30-day survival rates were 72.7% vs. 44.1% (p < 0.001). Most OHCAs were covered by AEDs at offices (18.6%), schools (13.3%), and sports facilities (12.9%), each with a coverage loss >50%, due to limited AED accessibility. CONCLUSIONS: The chance of a bystander defibrillation was tripled, and 30-day survival nearly doubled, when the nearest AED was accessible, compared to inaccessible, at the time of OHCA, underscoring the importance of unhindered AED accessibility.

Incidence and survival outcome according to heart rhythm during resuscitation attempt in out-of-hospital cardiac arrest patients with presumed cardiac etiology.

BACKGROUND: Knowledge about heart rhythm conversion from non-shockable to shockable rhythm during resuscitation attempt after out-of-hospital cardiac arrest (OHCA) and following chance of survival is limited and inconsistent. METHODS: We studied 13,860 patients with presumed cardiac-caused OHCA not witnessed by the emergency medical services from the Danish Cardiac Arrest Register (2005-2012). Patients were stratified according to rhythm: shockable, converted shockable (based on receipt of subsequent defibrillation) and sustained non-shockable rhythm. Multiple logistic regression was used to identify predictors of rhythm conversion and to compute 30-day survival chances. RESULTS: Twenty-five percent of patients who received pre-hospital defibrillation by ambulance personnel were initially found in non-shockable rhythms. Younger age, males, witnessed arrest, shorter response time, and heart disease were significantly associated with conversion to shockable rhythm, while psychiatric- and chronic obstructive pulmonary disease were significantly associated with sustained non-shockable rhythm. Compared to sustained non-shockable rhythms, converted shockable rhythms and initial shockable rhythms were significantly associated with increased 30-day survival (Adjusted odds ratio (OR) 2.6, 95% confidence interval (CI): 1.8-3.8; and OR 16.4, 95% CI 12.7-21.2, respectively). From 2005 to 2012, 30-day survival chances increased significantly for all three groups: shockable rhythms, from 16.3% (CI: 14.2%-18.7%) to 35.7% (CI: 32.5%-38.9%); converted rhythms, from 2.1% (CI: 1.6%-2.9%) to 5.8% (CI: 4.4%-7.6%); and sustained non-shockable rhythms, from 0.6% (CI: 0.5%-0.8%) to 1.8% (CI: 1.4%-2.2%). CONCLUSION: Converting to shockable rhythm during resuscitation attempt was common and associated with nearly a three-fold higher odds of 30-day survival compared to sustained non-shockable rhythms.

Temporal trends in survival after out-of-hospital cardiac arrest in patients with and without underlying chronic obstructive pulmonary disease.

AIM: Survival after out-of-hospital cardiac arrest (OHCA) has tripled during the past decade in Denmark as a likely result of improvements in cardiac arrest management. This study analyzed whether these improvements were applicable for patients with chronic obstructive pulmonary disease (COPD). METHODS: Patients ≥18 years with OHCA of presumed cardiac cause were identified through the Danish Cardiac Arrest Registry, 2001-2011. Patients with a history of COPD up to ten years prior to arrest were identified from the Danish National Patient Register and compared to non-COPD patients. RESULTS: Of 21,480 included patients, 3056 (14.2%) had history of COPD. Compared to non-COPD patients, COPD patients were older (75 vs. 71 years), less likely male (61.2% vs. 68.5%), had higher prevalence of other comorbidities, and were less likely to have: arrests outside private homes (17.7% vs. 28.3%), witnessed arrests (48.7% vs. 52.9%), bystander cardiopulmonary resuscitation (25.8% vs. 34.8%), and shockable heart rhythm (15.6% vs. 29.9%), all p<0.001; while no significant difference in the time-interval from recognition of arrest to rhythm analysis by ambulance-crew; p=0.24. From 2001 to 2011, survival upon hospital arrival increased in both patient-groups (from 6.8% to 17.1% in COPD patients and from 8.2% to 25.6% in non-COPD patients, p<0.001). However, no significant change was observed in 30-day survival in COPD patients (from 3.7% to 2.1%, p=0.27), in contrast to non-COPD patients (from 3.5% to 13.0%, p<0.001). CONCLUSIONS: Despite generally improved 30-day survival after OHCA over time, no improvement was observed in 30-day survival in COPD patients.

[Removal of a foreign metallic body with a magnet]. / Fjernelse af metalfremmedlegeme med magnet.

Foreign bodies in the human body are frequent and can be very hard to identify. Over the years it has been shown that removal could be done by magnetic force if the foreign body is magnetic. We present two stories where a foreign body was removed from a leg and abdomen respectively, with magnetic force. Removal of metallic foreign bodies with magnetic force is a fast, inexpensive and almost atraumatic procedure, which can minimize the use of anaesthetics and probably the use of X-ray.