Response times in rural areas for emergency medical services, fire and rescue services and voluntary first responders during out-of-hospital cardiac arrests.

Aim: To increase survival in out-of-hospital cardiac arrests (OHCA), great efforts are made to improve the number of voluntary first responders (VFR). However, evidence of the potential utility of such efforts is sparse, especially in rural areas. Therefore, the aim was to describe and compare response times for emergency medical services (EMS), fire and rescue services (FRS), and VFR during OHCA in relation to population density. Methods: This observational and comparative study was based on data including positions and time stamps for VFR and response times for EMS and FRS in a region in southern Sweden. Results: In total, 285 OHCAs between 1 July 2020 and 31 December 2021 were analysed. VFR had the shortest median response time in comparison to EMS and FRS in all studied population densities. The overall median (Q1-Q3) time gain for VFR was 03:07 (01:39-05:41) minutes. A small proportion (19.2%) of alerted VFR accepted the assignments. This is most problematic in rural and sub-rural areas, where there were low numbers of alerted VFR. Also, FRS had shorter response time than EMS in all studied population densities except in urban areas. Conclusion: The differences found in median response times between rural and urban areas are worrisome from an equality perspective. More focus should be placed on recruiting VFR, especially in rural areas since VFR can potentially contribute to saving more lives. Also, since FRS has a shorter response time than EMS in rural, sub-rural, and sub-urban areas, FRS should be dispatched more frequently.

All Else Being Equal: Examining Treatment Bias and Stereotypes Based on Patient Ethnicity and Socioeconomic Status With In-Hospital Cardiac Arrest Clinical Vignettes.

BACKGROUND: Research on ethnic and socioeconomic treatment differences following in-hospital cardiac arrest (IHCA) largely draws on register data. Due to the correlational nature of such data, it cannot be concluded whether detected differences reflect treatment bias/discrimination - whereby otherwise identical patients are treated differently solely due to sociodemographic factors. To be able to establish discrimination, experimental research is needed. OBJECTIVE: The primary aim of this experimental study was to examine whether simulated IHCA patients receive different treatment recommendations based on ethnicity and socioeconomic status (SES), holding all other factors (e.g., health status) constant. Another aim was to examine health care professionals' (HCP) stereotypical beliefs about these groups. METHODS: HCP (N = 235) working in acute care made anonymous treatment recommendations while reading IHCA clinical vignettes wherein the patient's ethnicity (Swedish vs. Middle Eastern) and SES had been manipulated. Afterwards they estimated to what extent hospital staff associate these patient groups with certain traits (stereotypes). RESULTS: No significant differences in treatment recommendations for Swedish versus Middle Eastern or high versus low SES patients were found. Reported stereotypes about Middle Eastern patients were uniformly negative. SES-related stereotypes, however, were mixed. High SES patients were believed to be more competent (e.g., respected), but less warm (e.g., friendly) than low SES patients. CONCLUSIONS: Swedish HCP do not seem to discriminate against patients with Middle Eastern or low SES backgrounds when recommending treatment for simulated IHCA cases, despite the existence of negative stereotypes about these groups. Implications for health care equality and quality are discussed.

Life satisfaction in cardiac arrest survivors: A nationwide Swedish registry study.

Introduction: Most cardiac arrest (CA) survivors report good health and quality of life. Life satisfaction on the other hand has not yet been studied in a large scale in the CA population. We aimed to explore life satisfaction as perceived by CA survivors with three research questions addressed: (1) how do CA survivors report their life satisfaction, (2) how are different domains of life satisfaction associated with overall life satisfaction, and (3) how are demographic and medical factors associated with overall life satisfaction? Methods: This registry study had a cross-sectional design. Life satisfaction was assessed using the 11-item Life Satisfaction checklist (LiSat-11). The sample included 1435 survivors ≥18 years of age. Descriptive statistics and binary logistic regression analyses were used. Results: Survivors were most satisfied with partner relation (85.6%), family life (82.2%), and self-care (77.8%), while 60.5% were satisfied with overall life. Satisfaction with psychological health was strongest associated with overall life satisfaction. Among medical and demographic factors, female sex and poor cerebral performance were associated with less overall life satisfaction. Conclusions: Generally, CA survivors seem to perceive similar levels of overall life satisfaction as general populations, while survivors tend to be significantly less satisfied with their sexual life. Satisfaction with psychological health is of special interest to identify and treat. Additionally, female survivors and survivors with poor neurological outcome are at risk for poorer overall life satisfaction and need special attention by healthcare professionals.

Is insomnia associated with self-reported health and life satisfaction in cardiac arrest survivors? A cross-sectional survey.

Background: Insomnia symptoms seem to be common in cardiac arrest survivors but their associations with important outcomes such as self-reported health and life satisfaction have not previously been reported during the early post-event period. Therefore, the aim of the study was to investigate whether symptoms of insomnia are associated with self-reported health and life satisfaction in cardiac arrest survivors six months after the event. Methods: This multicentre cross-sectional survey included cardiac arrest survivors ≥18 years. Participants were recruited six months after the event from five hospitals in southern Sweden, and completed a questionnaire including the Minimal Insomnia Symptom Scale, EQ-5D-5L, Health Index, Hospital Anxiety and Depression Scale, and Satisfaction With Life Scale. Data were analysed using the Mann-Whitney U test, linear regression, and ordinal logistic regression. The regression analyses were adjusted for demographic and medical factors. Results: In total, 212 survivors, 76.4% males, with a mean age of 66.6 years (SD = 11.9) were included, and of those, 20% reported clinical insomnia. Insomnia was significantly associated with all aspects of self-reported health (p < 0.01) and life satisfaction (p < 0.001), except mobility (p = 0.093), self-care (p = 0.676), and usual activities (p = 0.073). Conclusion: Insomnia plays a potentially important role for both health and life satisfaction in cardiac arrest survivors. Screening for sleep problems should be part of post cardiac arrest care and follow-up to identify those in need of further medical examination and treatment.

Associations between comorbidity and health-related quality of life among in-hospital cardiac arrest survivors - A cross-sectional nationwide registry study.

AIM: The aim of this study was to explore associations between comorbidities and health-related quality of life (HRQoL) among in-hospital cardiac arrest (IHCA) survivors. METHODS: This registry study is based on data from the Swedish Registry of Cardiopulmonary Resuscitation (SRCR) collected during 2014-2017. HRQoL was assessed using the EQ-5D-5L, the EQ Visual Analogue Scale (EQ VAS) and the Hospital Anxiety and Depression Scale (HADS). In total, 1,278 IHCA survivors were included in the study, 3-6 months after the cardiac arrest (CA). Data were analysed with descriptive and inferential statistics. The comorbidities analysed in this study were the patients' status for diabetes, previous myocardial infarction, previous stroke, respiratory insufficiency, and heart failure. RESULTS: Overall, the IHCA survivors reported high levels of HRQoL, but there was great variation within the population, e.g., EQ VAS median (q1-q3) = 70 (50-80). Survivors with one or more comorbidities reported worse HRQoL in 6 out of 8 outcomes (p < 0.001). All studied comorbidities were each associated with worse HRQoL, but no comorbidity was associated with every outcome measure. Previous stroke and respiratory insufficiency were significantly associated with every outcome measure except for HADS Anxiety. The linear regression models explained 4-8% of the total variance in HRQoL (p < 0.001). CONCLUSION: Since IHCA survivors with comorbidities report worse HRQoL compared to those without comorbidities, it is important to pay directed attention to them when developing and providing post-CA care, especially in those with respiratory insufficiency and previous stroke.

A more conservative test of sex differences in the treatment and outcome of in-hospital cardiac arrest.

BACKGROUND: Studies investigating sex disparities related to treatment and outcome of in-hospital cardiac arrest (IHCA) have produced divergent findings and have typically been unable to adjust for outstanding confounding variables. OBJECTIVES: The aim was to examine sex differences in treatment and survival following IHCA, using a comprehensive set of control variables including e.g., age, comorbidity, and patient-level socioeconomic status. METHODS: This retrospective study was based on data from the Swedish Register of Cardiopulmonary Resuscitation and Statistics Sweden. In the primary analyses, logistic regression models and ordinary least square regressions were estimated. RESULTS: The study included 24,217 patients and the majority (70.4%) were men. In the unadjusted analyses, women had a lower chance of survival after cardiopulmonary resuscitation (CPR) attempt, at hospital discharge (with good neurological function) and at 30 days (p<0.01). In the adjusted regression models, female sex was associated with a higher chance of survival after the CPR attempt (B = 1.09, p<0.01) and at 30-days (B = 1.09, p<0.05). In contrast, there was no significant association between sex and survival to discharge with good neurological outcome. Except for treatment duration (B=-0.07, p<0.01), no significant associations between sex and treatment were identified. CONCLUSIONS: No signs of treatment disparities or discrimination related to sex were identified. However, women had a better chance of surviving IHCA compared to men. The finding that women went from having a survival disadvantage (unadjusted analysis) to a survival advantage (adjusted analysis) attests to the importance of including a comprehensive set of control variables, when examining sex differences.

Is frailty associated with long-term survival, neurological function and patient-reported outcomes after in-hospital cardiac arrest? - A Swedish cohort study.

BACKGROUND: Frailty is associated with poor 30-days survival after in-hospital cardiac arrests (IHCA). The aim was to assess how pre-arrest frailty was associated with long-term survival, neurological function and patient-reported outcomes in elderly survivors after IHCA. METHODS: Patients aged ≥ 65 years with IHCA at Karolinska University Hospital between 2013-2021 were studied. Frailty was assessed by the Clinical Frailty Scale (CFS) based on clinical records and categorised into non-frail (1-4) or frail (5-7). Survival was assessed in days. Neurological function was assessed by the Cerebral Performance Category scale (CPC). A telephone interview was performed six months post-IHCA and included the questionnaires EuroQoL-5 Dimensions-5 Levels and Hospital Anxiety and Depression Scale. RESULTS: Totally, 232 (28%) out of 817 eligible patients survived to 30-days. Out of 232, 65 (28%) were frail. Long-term survival was better for non-frail than frail patients (6 months (92% versus 75%, p-value < 0.01), 3 years (74% vs 22%, p-value < 0.01)). The vast majority of both non-frail and frail patients had unchanged CPC from admittance to discharge from hospital (87% and 85%, respectively, p-value 0.52). The 121 non-frail patients reported better health compared to 27 frail patients (EQ-VAS median 70 versus 50 points, p-value < 0.01) and less symptoms of depression than frail (16% and 52%, respectively, p-value < 0.01). CONCLUSION: Frail patients suffering IHCA survived with the same neurological function they had at admittance. Although one in five frail patients survived to three years, frailty was associated with a marked decrease in long-term survival as well as increased symptoms of depression and poorer general health.

Clinical characteristics and survival in patients with heart failure experiencing in hospital cardiac arrest.

In patients with heart failure (HF) who suffered in-hospital cardiac arrest (IHCA), little is known about the characteristics, survival and neurological outcome. We used the Swedish Registry of Cardiopulmonary Resuscitation to study this, including patients aged ≥ 18 years suffering IHCA (2008-2019), categorised as HF alone, HF with acute myocardial infarction (AMI), AMI alone, or other. Odds ratios (OR) for 30-day survival, trends in 30-day survival, and the implication of HF phenotype was studied. 6378 patients had HF alone, 2111 had HF with AMI, 4210 had AMI alone. Crude 5-year survival was 9.6% for HF alone, 12.9% for HF with AMI and 34.6% for AMI alone. The 5-year survival was 7.9% for patients with HF and left ventricular ejection fraction (LVEF) ≥ 50%, 15.4% for LVEF < 40% and 12.3% for LVEF 40-49%. Compared with AMI alone, adjusted OR (95% CI) for 30-day survival was 0.66 (0.60-0.74) for HF alone, and 0.49 (0.43-0.57) for HF with AMI. OR for 30-day survival in 2017-2019 compared with 2008-2010 were 1.55 (1.24-1.93) for AMI alone, 1.37 (1.00-1.87) for HF with AMI and 1.30 (1.07-1.58) for HF alone. Survivors with HF had good neurological outcome in 92% of cases.

Treatment and survival following in-hospital cardiac arrest: does patient ethnicity matter?

AIMS: Previous research on racial/ethnic disparities in relation to cardiac arrest has mainly focused on black vs. white disparities in the USA. The great majority of these studies concerns out-of-hospital cardiac arrest (OHCA). The current nationwide registry study aims to explore whether there are ethnic differences in treatment and survival following in-hospital cardiac arrest (IHCA), examining possible disparities towards Middle Eastern and African minorities in a European context. METHODS AND RESULTS: In this retrospective registry study, 24 217 patients from the IHCA part of the Swedish Registry of Cardiopulmonary Resuscitation were included. Data on patient ethnicity were obtained from Statistics Sweden. Regression analysis was performed to assess the impact of ethnicity on cardiopulmonary resuscitation (CPR) delay, CPR duration, survival immediately after CPR, and the medical team's reported satisfaction with the treatment. Middle Eastern and African patients were not treated significantly different compared to Nordic patients when controlling for hospital, year, age, sex, socioeconomic status, comorbidity, aetiology, and initial heart rhythm. Interestingly, we find that Middle Eastern patients were more likely to survive than Nordic patients (odds ratio = 1.52). CONCLUSION: Overall, hospital staff do not appear to treat IHCA patients differently based on their ethnicity. Nevertheless, Middle Eastern patients are more likely to survive IHCA.

Cohort study of the characteristics and outcomes in patients with COVID-19 and in-hospital cardiac arrest.

OBJECTIVE: We studied characteristics, survival, causes of cardiac arrest, conditions preceding cardiac arrest, predictors of survival and trends in the prevalence of COVID-19 among in-hospital cardiac arrest (IHCA) cases. DESIGN AND SETTING: Registry-based observational study. PARTICIPANTS: We studied all cases (≥18 years of age) of IHCA receiving cardiopulmonary resuscitation in the Swedish Registry for Cardiopulmonary Resuscitation during 15 March 2020 to 31 December 2020. A total of 1613 patients were included and divided into the following groups: ongoing infection (COVID-19+; n=182), no infection (COVID-19-; n=1062) and unknown/not assessed (n=369). MAIN OUTCOMES AND MEASURES: We studied monthly trends in proportions of COVID-19 associated IHCAs, causes of IHCA in relation to COVID-19 status, clinical conditions preceding the cardiac arrest and predictors of survival. RESULTS: The rate of COVID-19+ patients suffering an IHCA increased to 23% during the first pandemic wave (April), then abated to 3% in July, and then increased to 19% during the second wave (December). Among COVID-19+ cases, 43% had respiratory insufficiency or infection as the underlying cause of the cardiac arrest, compared with 18% among COVID-19- cases. The most common clinical sign preceding cardiac arrest was hypoxia (57%) among COVID-19+ cases. OR for 30-day survival for COVID-19+ cases was 0.50 (95% CI 0.33 to 0.76), compared with COVID-19- cases. CONCLUSION: During pandemic peaks, up to one-fourth of all IHCAs are complicated by COVID-19, and these patients have halved chance of survival, with women displaying the worst outcomes.

Symptom Prevalence of Anxiety and Depression in Older Cardiac Arrest Survivors: A Comparative Nationwide Register Study.

Knowledge about psychological distress in older cardiac arrest (CA) survivors is sparse, and the lack of comparisons with general populations make it difficult to draw any strong conclusions about prevalence and potential changes caused by CA. Our aim was to compare psychological distress between older CA survivors and a general population. This study included survivors 65-80 years old and an age- and sex-matched general population. Data on survivors was collected from the Swedish Register of Cardiopulmonary Resuscitation. The Hospital Anxiety and Depression Scale was used to measure psychological distress. Data were analyzed with non-parametric statistics. The final sample included 1027 CA survivors and 1018 persons from the general population. In both groups, the mean age was 72 years (SD = 4) and 28% were women. The prevalence of anxiety was 9.9% for survivors and 9.5% for the general population, while the corresponding prevalence for depression was 11.3% and 11.5% respectively. Using the cut-off scores, no significant differences between the groups were detected. However, CA survivors reported significantly lower symptom levels using the subscale scores (ΔMdn = 1, p < 0.001). In conclusion, the CA survivors did not report higher symptom levels of anxiety and depression than the general population. However, since psychological distress is related to poor quality-of-life and recovery, screening for psychological distress remains important.

A comprehensive description of self-reported health and life satisfaction in cardiac arrest survivors.

BACKGROUND: Self-reported health and life satisfaction are considered important outcomes in people surviving cardiac arrest. However, most previous studies have reported limited aspects on health, often based on composite scores, and few studies have focused on life satisfaction. Investigating health aspects with a broad and detailed perspective is important to increase the knowledge of life after cardiac arrest from the perspective of survivors. In addition, the knowledge of potential differences in health among survivors related to place of arrest (in-hospital cardiac arrest; IHCA or out-of-hospital cardiac arrest; OHCA) is scarce. The aim was to describe and compare self-reported health and life satisfaction in IHCA and OHCA survivors.  METHODS: This observational cross-sectional study included adult cardiac arrest survivors six months after resuscitation, treated at five Swedish hospitals between 2013 and 2018. Participants received a study specific questionnaire including Health Index (HI), EQ-5D 5 Levels (EQ-5D-5L), Minimal Insomnia Sleeping Scale (MISS), Multidimensional Scale of Perceived Social Support (MSPSS), Hospital Anxiety and Depression Scale (HADS), and Satisfaction With Life Scale (SWLS). In order to present characteristics descriptive statistics were applied. The Mann-Whitney U test, chi-square test or Fishers' exact test were used to compare differences in self-reported health and life satisfaction between in-hospital- and out-of-hospital cardiac arrest survivors RESULTS: In total, 212 survivors participated. Based on scale scores and general measures, the median scores of health and life satisfaction among survivors were high: HI total = 29, EQ VAS = 80, and SWLS = 20. According to HI, most problems were reported for tiredness (37.3 %) and strength (26.4 %), while pain/discomfort (57.5 %) and anxiety/depression (42.5 %) where most common according to EQ-5D-5L. Except for EQ-5D-5L mobility (p = 0.023), MSPSS significant other (p = 0.036), and MSPSS family (p = 0.043), no health differences in relation to place of arrest were identified. CONCLUSIONS: Although general health and life satisfaction were good among cardiac arrest survivors, several prevalent health problems were reported regardless of place of arrest. To achieve an improved understanding of health in cardiac arrest survivors, it is important to assess specific symptoms as a complement to composite scores of general, physical, emotional, and social health.

Discriminatory cardiac arrest care? Patients with low socioeconomic status receive delayed cardiopulmonary resuscitation and are less likely to survive an in-hospital cardiac arrest.

AIMS: Individuals with low socioeconomic status (SES) face widespread prejudice in society. Whether SES disparities exist in treatment and survival following in-hospital cardiac arrest (IHCA) is unclear. The aim of the current retrospective registry study was to examine SES disparities in IHCA treatment and survival, assessing SES at the patient level, and adjusting for major demographic, clinical, and contextual factors. METHODS AND RESULTS: In total, 24 217 IHCAs from the Swedish Register of Cardiopulmonary Resuscitation were analysed. Education and income constituted SES proxies. Controlling for age, gender, ethnicity, comorbidity, heart rhythm, aetiology, hospital, and year, primary analyses showed that high (vs. low) SES patients were significantly less likely to receive delayed cardiopulmonary resuscitation (CPR) (highly educated: OR = 0.89, and high income: OR = 0.98). Furthermore, patients with high SES were significantly more likely to survive CPR (high income: OR = 1.02), to survive to hospital discharge with good neurological outcome (highly educated: OR = 1.27; high income: OR = 1.06), and to survive to 30 days (highly educated: OR = 1.21; and high income: OR = 1.05). Secondary analyses showed that patients with high SES were also significantly more likely to receive prophylactic heart rhythm monitoring (highly educated: OR = 1.16; high income: OR = 1.02), and this seems to partially explain the observed SES differences in CPR delay. CONCLUSION: There are clear SES differences in IHCA treatment and survival, even when controlling for major sociodemographic, clinical, and contextual factors. This suggests that patients with low SES could be subject to discrimination when suffering IHCA.

Adherence to guidelines is associated with improved survival following in-hospital cardiac arrest.

BACKGROUND: Most resuscitation guidelines have recommendations regarding maximum delay times from collapse to calling for the rescue team and initiation of treatment following cardiac arrest. The aim of the study was to investigate the association between adherence to guidelines for cardiopulmonary resuscitation (CPR) after in-hospital cardiac arrest (IHCA) and survival with a focus on delay to treatment. METHODS: We used the Swedish Registry for CPR to study 3212 patients with a shockable rhythm and 9113 patients with non-shockable rhythm from January 1, 2008 to December 31, 2017. Adult patients older than or equal to 18 years with a witnessed IHCA where resuscitation was initiated were included. We assessed trends in adherence to guidelines and their associations with 30-day survival and neurological function. Adherence to guidelines was defined as follows: time from collapse to calling for the rescue team and CPR within 1 min for non-shockable rhythms. For shockable rhythms, adherence was defined as the time from collapse to calling for the rescue team and CPR within 1 min and defibrillation within 3 min. RESULTS: In patients with a shockable rhythm, the 30-day survival for those treated according to guidelines was 66.1%, as compared to 46.5% among those not treated according to guidelines on one or more parameters, adjusted odds ratio 1.84 (95% CI 1.52-2.22). Among patients with a non-shockable rhythm the 30-day survival for those treated according to guidelines was 22.8%, as compared to 16.0% among those not treated according to guidelines on one or more parameters, adjusted odds ratio 1.43 (95% CI 1.24-1.65). Neurological function (cerebral performance category 1-2) among survivors was better among patients treated in accordance with guidelines for both shockable (95.7% vs 91.1%, <0.001) and non-shockable rhythms (91.0% vs 85.5%, p < 0.008). Adherence to the Swedish guidelines for CPR increased slightly 2008-2017. CONCLUSIONS: Adherence to guidelines was associated with increased probability of survival and improved neurological function in patients with a shockable and non-shockable rhythm, respectively. Increased adherence to guidelines could increase cardiac arrest survival.

Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

INTRODUCTION: Studies examining the factors linked to survival after out of hospital cardiac arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in different parts of the world, or focused on certain factors and whether they were associated with survival. Unfortunately, this approach does not measure how strong each factor is in predicting survival after OHCA. AIM: To investigate the relative importance of 16 well-recognized factors in OHCA at the time point of ambulance arrival, and before any interventions or medications were given, by using a machine learning approach that implies building models directly from the data, and arranging those factors in order of importance in predicting survival. METHODS: Using a data-driven approach with a machine learning algorithm, we studied the relative importance of 16 factors assessed during the pre-hospital phase of OHCA. We examined 45,000 cases of OHCA between 2008 and 2016. RESULTS: Overall, the top five factors to predict survival in order of importance were: initial rhythm, age, early Cardiopulmonary Resuscitation (CPR, time to CPR and CPR before arrival of EMS), time from EMS dispatch until EMS arrival, and place of cardiac arrest. The largest difference in importance was noted between initial rhythm and the remaining predictors. A number of factors, including time of arrest and sex were of little importance. CONCLUSION: Using machine learning, we confirm that the most important predictor of survival in OHCA is initial rhythm, followed by age, time to start of CPR, EMS response time and place of OHCA. Several factors traditionally viewed as important, e.g. sex, were of little importance.

Health-related quality of life after surviving an out-of-hospital compared to an in-hospital cardiac arrest: A Swedish population-based registry study.

BACKGROUND: Health-related quality of life (HRQoL) has been reported for out-hospital (OHCA) and in-hospital cardiac arrest (IHCA) separately, but potential differences between the two groups are unknown. The aim of this study is therefore to describe and compare HRQoL in patients surviving OHCA and IHCA. METHODS: Patients ≥18 years with Cerebral Performance Category 1-3 included in the Swedish Registry for Cardiopulmonary Resuscitation between 2014 and 2017 were included. A telephone interview was performed based on a questionnaire sent 3-6 months post cardiac arrest, including EQ-5D-5L and the Hospital Anxiety and Depression Scale. Mann-Whitney U test and multiple linear- and ordinal logistic regression analyses were used to describe and compare HRQoL in OHCA and IHCA survivors. Adjustments were made for sex, age and initial rhythm. RESULTS: In all, 1369 IHCA and 772 OHCA survivors were included. Most OHCA and IHCA survivors reported no symptoms of with anxiety (88% and 84%) or depression (87% and 85%). IHCA survivors reported significantly more problems in the health domains mobility, self-care, usual activities and pain/discomfort (p < 0.001 for all) and scored lower general health measured by EQ-VAS (median 70 vs. 80 respectively, p < 0.001) compared with the OHCA survivors. CONCLUSION: Survivors of IHCA reported significantly worse HRQoL compared to survivors of OHCA. Consequently, research data gathered from one of these populations may not be generalizable to the other.

Dyadic effects of type D personality and perceived control on health-related quality of life in cardiac arrest survivors and their spouses using the actor-partner interdependence model.

BACKGROUND: There is a lack of knowledge about factors associated with health-related quality of life in cardiac arrest survivors and their spouses. In addition, survivors and spouses are likely to affect each other's health-related quality of life. AIMS: The aim was to investigate if a distressed personality and perceived control among cardiac arrest survivors and their spouses were associated with their own and their partner's health-related quality of life. METHODS: This dyadic cross-sectional study used the actor-partner interdependence model to analyse associations between a distressed personality (type D personality), perceived control (control attitudes scale), and health-related quality of life (EQ index and EQ visual analogue scale). RESULTS: In total, 126 dyads were included in the study. Type D personality and perceived control in cardiac arrest survivors were associated with their own health-related quality of life. In their spouses, a significant association was found for type D personality but not for perceived control. In addition, type D personality and perceived control in survivors were associated with health-related quality of life in their spouses. CONCLUSIONS: Type D personality and perceived control are factors that might be considered during post cardiac arrest, because of the associations with health-related quality of life in survivors and spouses. More research is needed to test psychosocial interventions in the cardiac arrest population in order to improve health-related quality of life.

Correction to: Variability in functional outcome and treatment practices by treatment center after out-of-hospital cardiac arrest: analysis of International Cardiac Arrest Registry.

The original version of this article unfortunately contained a mistake.

[Post cardiac arrest follow-up - Swedish guidelines available]. / Uppföljning efter hjärtstopp ­ nu finns svenska riktlinjer - Intervention för hjärtstoppsöverlevare kan ge snabbare återgång i arbete och bättre mental hälsa.

According to previous research, a structured cardiac arrest follow-up may contribute to identifying health problems and the potential need of support among survivors and their relatives. However, a survey on post CA care and follow-up in Sweden, reported a lack of structure and major variations among Swedish hospitals. In 2016, Swedish guidelines were published with the aim to improve care. According to guidelines, all patients and their relatives should be offered a follow-up visit within 1-3 months after hospital discharge, including screening for cognitive and emotional problems and provision of information. More information is available at https://www.hlr.nu/vard-efter-hjartstopp/.

Variability in functional outcome and treatment practices by treatment center after out-of-hospital cardiac arrest: analysis of International Cardiac Arrest Registry.

PURPOSE: Functional outcomes vary between centers after out-of-hospital cardiac arrest (OHCA) and are partially explained by pre-existing health status and arrest characteristics, while the effects of in-hospital treatments on functional outcome are less understood. We examined variation in functional outcomes by center after adjusting for patient- and arrest-specific characteristics and evaluated how in-hospital management differs between high- and low-performing centers. METHODS: Analysis of observational registry data within the International Cardiac Arrest Registry was used to perform a hierarchical model of center-specific risk standardized rates for good outcome, adjusted for demographics, pre-existing functional status, and arrest-related factors with treatment center as a random effect variable. We described the variability in treatments and diagnostic tests that may influence outcome at centers with adjusted rates significantly above and below registry average. RESULTS: A total of 3855 patients were admitted to an ICU following cardiac arrest with return of spontaneous circulation. The overall prevalence of good outcome was 11-63% among centers. After adjustment, center-specific risk standardized rates for good functional outcome ranged from 0.47 (0.37-0.58) to 0.20 (0.12-0.26). High-performing centers had faster time to goal temperature, were more likely to have goal temperature of 33 °C, more likely to perform unconscious cardiac catheterization and percutaneous coronary intervention, and had differing prognostication practices than low-performing centers. CONCLUSIONS: Center-specific differences in outcomes after OHCA after adjusting for patient-specific factors exist. This variation could partially be explained by in-hospital management differences. Future research should address the contribution of these factors to the differences in outcomes after resuscitation.