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Sökning: WFRF:(Friberg Johan) > Göteborgs universitet

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1.
  • Langhelle, A., et al. (författare)
  • Recommended guidelines for reviewing, reporting, and conducting research on post-resuscitation care: the Utstein style
  • 2005
  • Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 66:3, s. 271-83
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this report is to establish recommendations for reviewing, reporting, and conducting research during the post-resuscitation period in hospital. It defines data that are needed for research and more specialised registries and therefore supplements the recently updated Utstein template for resuscitation registries. The updated Utstein template and the out-of-hospital "Chain of Survival" describe factors of importance for successful resuscitation up until return of spontaneous circulation (ROSC). Several factors in the in-hospital phase after ROSC are also likely to affect the ultimate outcome of the patient. Large differences in survival to hospital discharge for patients admitted alive are reported between hospitals. Therapeutic hypothermia has been demonstrated to improve the outcome, and other factors such as blood glucose, haemodynamics, ventilatory support, etc., might also influence the result. No generally accepted, scientifically based protocol exists for the post-resuscitation period in hospital, other than general brain-oriented intensive care. There is little published information on this in-hospital phase. This statement is the result of a scientific consensus development process started as a symposium by a task force at the Utstein Abbey, Norway, in September 2003. Suggested data are defined as core and supplementary and include the following categories: pre-arrest co-morbidity and functional status, cause of death, patients' quality of life, in-hospital system factors, investigations and treatment, and physiological data at various time points during the first three days after admission. It is hoped that the publication of these recommendations will encourage research into the in-hospital post-resuscitation phase, which we propose should be included in the chain-of-survival as a fifth ring. Following these recommendations should enable better understanding of the impact of different in-hospital treatment strategies on outcome.
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2.
  • Hessulf, Fredrik, 1986, et al. (författare)
  • Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model
  • 2023
  • Ingår i: eBioMedicine. - : Elsevier BV. - 2352-3964. ; 89
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: A prediction model that estimates survival and neurological outcome in out-of-hospital cardiac arrest patients has the potential to improve clinical management in emergency rooms.Methods: We used the Swedish Registry for Cardiopulmonary Resuscitation to study all out-of-hospital cardiac arrest (OHCA) cases in Sweden from 2010 to 2020. We had 393 candidate predictors describing the circumstances at cardiac arrest, critical time intervals, patient demographics, initial presentation, spatiotemporal data, socioeconomic status, medications, and comorbidities before arrest. To develop, evaluate and test an array of prediction models, we created stratified (on the outcome measure) random samples of our study population. We created a training set (60% of data), evaluation set (20% of data), and test set (20% of data). We assessed the 30-day survival and cerebral performance category (CPC) score at discharge using several machine learning frameworks with hyperparameter tuning. Parsimonious models with the top 1 to 20 strongest predictors were tested. We calibrated the decision threshold to assess the cut-off yielding 95% sensitivity for survival. The final model was deployed as a web application.Findings: We included 55,615 cases of OHCA. Initial presentation, prehospital interventions, and critical time intervals variables were the most important. At a sensitivity of 95%, specificity was 89%, positive predictive value 52%, and negative predictive value 99% in test data to predict 30-day survival. The area under the receiver characteristic curve was 0.97 in test data using all 393 predictors or only the ten most important predictors. The final model showed excellent calibration. The web application allowed for near-instantaneous survival calculations.Interpretation: Thirty-day survival and neurological outcome in OHCA can rapidly and reliably be estimated during ongoing cardiopulmonary resuscitation in the emergency room using a machine learning model incorporating widely available variables.
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3.
  • Robba, Chiara, et al. (författare)
  • Oxygen targets and 6-month outcome after out of hospital cardiac arrest : a pre-planned sub-analysis of the targeted hypothermia versus targeted normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial
  • 2022
  • Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535 .- 1466-609X. ; 26, s. 1-13
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Optimal oxygen targets in patients resuscitated after cardiac arrest are uncertain. The primary aim of this study was to describe the values of partial pressure of oxygen values (PaO2) and the episodes of hypoxemia and hyperoxemia occurring within the first 72 h of mechanical ventilation in out of hospital cardiac arrest (OHCA) patients. The secondary aim was to evaluate the association of PaO2 with patients’ outcome. Methods: Preplanned secondary analysis of the targeted hypothermia versus targeted normothermia after OHCA (TTM2) trial. Arterial blood gases values were collected from randomization every 4 h for the first 32 h, and then, every 8 h until day 3. Hypoxemia was defined as PaO2 < 60 mmHg and severe hyperoxemia as PaO2 > 300 mmHg. Mortality and poor neurological outcome (defined according to modified Rankin scale) were collected at 6 months. Results: 1418 patients were included in the analysis. The mean age was 64 ± 14 years, and 292 patients (20.6%) were female. 24.9% of patients had at least one episode of hypoxemia, and 7.6% of patients had at least one episode of severe hyperoxemia. Both hypoxemia and hyperoxemia were independently associated with 6-month mortality, but not with poor neurological outcome. The best cutoff point associated with 6-month mortality for hypoxemia was 69 mmHg (Risk Ratio, RR = 1.009, 95% CI 0.93–1.09), and for hyperoxemia was 195 mmHg (RR = 1.006, 95% CI 0.95–1.06). The time exposure, i.e., the area under the curve (PaO2-AUC), for hyperoxemia was significantly associated with mortality (p = 0.003). Conclusions: In OHCA patients, both hypoxemia and hyperoxemia are associated with 6-months mortality, with an effect mediated by the timing exposure to high values of oxygen. Precise titration of oxygen levels should be considered in this group of patients. Trial registration: clinicaltrials.gov NCT02908308, Registered September 20, 2016.
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4.
  • Andersson, Peder, et al. (författare)
  • Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
  • 2021
  • Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535. ; 25:1
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundPrognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for predicting neurological outcome following out-of-hospital cardiac arrest (OHCA) using artificial neural network (ANN) with and without biomarkers.MethodsWe performed a post hoc analysis of 932 patients from the Target Temperature Management trial. We focused on comatose patients at 24, 48, and 72 h post-cardiac arrest and excluded patients who were awake or deceased at these time points. 80% of the patients were allocated for model development (training set) and 20% for internal validation (test set). To investigate the prognostic potential of different levels of biomarkers (clinically available and research-grade), patients' background information, and intensive care observation and treatment, we created three models for each time point: (1) clinical variables, (2) adding clinically accessible biomarkers, e.g., neuron-specific enolase (NSE) and (3) adding research-grade biomarkers, e.g., neurofilament light (NFL). Patient outcome was the dichotomised Cerebral Performance Category (CPC) at six months; a good outcome was defined as CPC 1-2 whilst a poor outcome was defined as CPC 3-5. The area under the receiver operating characteristic curve (AUROC) was calculated for all test sets.ResultsAUROC remained below 90% when using only clinical variables throughout the first three days in the ICU. Adding clinically accessible biomarkers such as NSE, AUROC increased from 82 to 94% (p<0.01). The prognostic accuracy remained excellent from day 1 to day 3 with an AUROC at approximately 95% when adding research-grade biomarkers. The models which included NSE after 72 h and NFL on any of the three days had a low risk of false-positive predictions while retaining a low number of false-negative predictions.ConclusionsIn this exploratory study, ANNs provided good to excellent prognostic accuracy in predicting neurological outcome in comatose patients post OHCA. The models which included NSE after 72 h and NFL on all days showed promising prognostic performance.
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5.
  • Berglund, Sara, et al. (författare)
  • Cardiorenal function and survival in in-hospital cardiac arrest : A nationwide study of 22,819 cases
  • 2022
  • Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 172, s. 9-16
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: We studied the association between cardiorenal function and survival, neurological outcome and trends in survival after in-hospital Methods: We included cases aged 18 years in the Swedish Cardiopulmonary Resuscitation Registry during 2008 to 2020. The CKD-EPI equation was used to calculate estimated glomerular filtration rate (eGFR). A history of heart failure was defined according to contemporary guideline criteria. Logistic regression was used to study survival. Neurological outcome was assessed using cerebral performance category (CPC). Results: We studied 22,819 patients with IHCA. The 30-day survival was 19.3%, 16.6%, 22.5%, 28.8%, 39.3%, 44.8% and 38.4% in cases with eGFR < 15, 15-29, 30-44, 45-59, 60-89, 90-130 and 130-150 ml/min/1.73 m2, respectively. All eGFR levels below and above 90 ml/min/1.73 m2 were associated with increased mortality. Probability of survival at 30 days was 62% lower in cases with eGFR < 15 ml/min/1.73 m2, compared with normal kidney function. At every level of eGFR, presence of heart failure increased mortality markedly; patients without heart failure displayed higher mortality only at eGFR below 30 ml/min/1.73 m2. Among survivors with eGFR < 15 ml/min/1.73 m2, good neurological outcome was noted in 87.2%. Survival increased in most groups over time, but most for those with eGFR < 15 ml/min/1.73 m2, and least for those with normal eGFR. Conclusions: All eGFR levels below and above normal range are associated with increased mortality and this association is modified by the presence of heart failure. Neurological outcome is good in the majority of cases, across kidney function levels and survival is increasing.
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6.
  • Bergström, Mattias, et al. (författare)
  • Pulseless electrical activity is associated with improved survival in out-of-hospital cardiac arrest with initial non-shockable rhythm.
  • 2018
  • Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 133, s. 147-152
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: To describe the prevalence, baseline characteristics and factors associated with survival in out-of-hospital cardiac arrest (OHCA) with initial non-shockable rhythm sub-grouped into pulseless electrical activity (PEA) and asystole as presenting rhythm.METHODS: The Swedish Registry of Cardiopulmonary Resuscitation is a prospectively recorded nationwide registry of modified Utstein parameters, including all patients with attempted resuscitation after OHCA. Data between 1990-2016 were analyzed.RESULTS: After exclusions, the study population consisted of 48,707 patients presenting with either PEA or asystole. The proportion of PEA increased from 12% to 22% during the study period with a fivefold increase in 30-day survival reaching 4.9%. Survival in asystole showed a modest increase from 0.6% to 1.3%. In the multivariable analysis, PEA was independently associated with survival at 30 days (OR 1.54, 95% CI 1.26-1.88).CONCLUSION: Between 1990 and 2016, the proportion of PEA as the first recorded rhythm doubled with a five-fold increase in 30-day survival, while survival among patients with asystole remained at low levels. PEA and asystole should be considered separate entities in clinical decision-making and be reported separately in observational studies and clinical trials.
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7.
  • Blennow Nordström, Erik, et al. (författare)
  • Neuropsychological outcome after cardiac arrest : A prospective case control sub-study of the Targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest trial (TTM2)
  • 2020
  • Ingår i: BMC Cardiovascular Disorders. - : Springer Science and Business Media LLC. - 1471-2261. ; 20:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: This study is designed to provide detailed knowledge on cognitive impairment after out-of-hospital cardiac arrest (OHCA) and its relation to associated factors, and to validate the neurocognitive screening of the Targeted Hypothermia versus Targeted Normothermia after Out-of-Hospital Cardiac Arrest trial (TTM2-trial), assessing effectiveness of targeted temperature management after OHCA. Methods: This longitudinal multi-center clinical study is a sub-study of the TTM2-trial, in which a comprehensive neuropsychological examination is performed in addition to the main TTM2-trial neurocognitive screening. Approximately 7 and 24 months after OHCA, survivors at selected study sites are invited to a standardized assessment, including performance-based tests of cognition and questionnaires of emotional problems, fatigue, executive function and insomnia. At 1:1 ratio, a matched control group from a cohort of acute myocardial infarction (MI) patients is recruited to perform the same assessment. We aim to include 100 patients per group. Potential differences between the OHCA patients and the MI controls at 7 and 24 months will be analyzed with a linear regression, using composite z-scores per cognitive domain (verbal, visual/constructive, working memory, episodic memory, processing speed, executive functions) as primary outcome measures. Results from OHCA survivors on the main TTM2-trial neurocognitive screening battery will be compared with neuropsychological test results at 7 months, using sensitivity and specificity analyses. Discussion: In this study we collect detailed information on cognitive impairment after OHCA and compare this to a control group of patients with acute MI. The validation of the TTM2 neurocognitive screening battery could justify its inclusion in routine follow-up. Our results may have a potential to impact on the design of future follow-up strategies and interventions after OHCA. Trial registration: ClinicalTrials.gov, NCT03543371. Registered 1 June 2018
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8.
  • Chen, Yun, 1966, et al. (författare)
  • Hair glucocorticoid concentration, self-perceived stress and their associations with cardiometabolic risk markers in Swedish adolescents
  • 2022
  • Ingår i: Psychoneuroendocrinology. - : Elsevier BV. - 0306-4530. ; 146
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: While hair cortisol is proposed as a biomarker for chronic stress and a possible mediator linking chronic stress and cardiovascular risk in adults, studies in adolescents are scarce. We explored the associations between self-perceived stress, hair cortisol (HairF) and cortisone (HairE), and cardiometabolic risk markers in adolescents. Further, we examined whether association between self-perceived stress and HairF may depend on the use of the coping strategies "shift-persist ". Methods: Participants were 7th grade pupils recruited to the STudy of Adolescence Resilience and Stress (STARS) and data from the baseline examinations were used. Adolescents (n = 1553, 26 % boys, Mage=13.6, SD = 0.4) completed questionnaires assessing perceived stress and coping strategies "shift-persist ", provided hair sample, and examined for cardiometabolic risk factors including waist circumference (WC), body mass index (BMI) z -score, blood pressure, and white blood cell counts (WBC). HairF and HairE were analysed using liquid chro-matography with tandem mass spectrometry. We conducted descriptive analyses (Student's t-test, Wilcoxon Signed Ranks test, Chi-square test) and linear regression analyses. Results: Perceived stress was not associated with HairF, neither had the use of coping strategies "shift-persist " any influence on this association. Both HairF and HairE were positively associated with BMI z-score (beta coefficients (8): 0.178 (p < 0.001) and 0.119 (p < 0.001) for boys; 0.123 (p < 0.001) and 0.089 (p < 0.01) for girls) and WC (8: 0.089 (p > 0.05) and 0.098 (p < 0.05) for boys; 0.103 (p < 0.01) and 0.076 (p < 0.05) for girls). Perceived stress was also positively associated with BMI z-score and WC. Perceived stress, but not HairF, remained asso-ciated with WC in boys (8 = 0.200, p < 0.001) in the models with HairF and perceived stress presented simultaneously. Modest association between HairE and WBC was found in boys (8 = 0.149, p < 0.01). Conclusions: The study supports the association between chronic stress and overweight/obesity in adolescents. Hair cortisol and self-perceived stress capture different aspects of how chronic stress is related to overweight/ obesity in adolescents.
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9.
  • Chen, Yun, 1966, et al. (författare)
  • Impact of COVID-19 pandemic on mental health and health behaviors in Swedish adolescents
  • 2022
  • Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1403-4948 .- 1651-1905. ; 50, s. 26-32
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: There is an urgent need to explore the impact of the COVID-19 pandemic on adolescent mental health and health behaviours. To date, there are no such studies on Swedish adolescents. As COVID-19 emerged in the middle of our ongoing 2-year follow-up examination of the Study of Adolescence Resilience and Stress, we had the unique opportunity to use the corona outbreak as a 'natural experiment' to study the impact of COVID-19 on 15-year-old adolescents in Sweden. Methods: Adolescents (baseline age 13.6 +/- 0.4 years) were recruited from schools in western Sweden (during the COVID-19 outbreak schools were kept open for those under 16 years of age). The COVID-19 pandemic reached Sweden on 31 January 2020. A total of 1316 adolescents answered the 2-year follow-up survey before (unexposed to COVID-19 pandemic, controls) and 584 after 1 February 2020 (COVID19-exposed). Data on stress, psychosomatic symptoms, happiness, relationships with parents and peers, school and health behaviours were collected. Results: Adolescents reported higher levels of stress and psychosomatic symptoms and lower levels of happiness at follow-up compared to baseline. These changes occurred to a similar extent in both the control and COVID-19-exposed groups. Likewise, the COVID-19-exposed group showed no deterioration in peer relations or relations with parents versus controls. We did not find any significant differences between groups regarding sleep duration and physical activity. Conclusions: Swedish adolescents exposed to COVID-19 during most of 2020 showed no differences in longitudinal changes in mental health, relationships with parents and peers, and health behaviours compared to those not exposed to COVID-19.
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10.
  • Cronberg, Tobias, et al. (författare)
  • Neurological prognostication after cardiac arrest : Recommendations from the Swedish Resuscitation Council
  • 2013
  • Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 84:7, s. 867-872
  • Tidskriftsartikel (refereegranskat)abstract
    • Cardiopulmonary resuscitation is started in 5000 victims of out-of-hospital cardiac arrest in Sweden each year and the survival rate is approximately 10%. The subsequent development of a global ischaemic brain injury is the major determinant of the neurological prognosis for those patients who reach the hospital alive. Induced hypothermia is a recommended treatment after cardiac arrest and has been implemented in most Swedish hospitals.Recent studies indicate that induced hypothermia may affect neurological prognostication and previous international recommendations are therefore no longer valid when hypothermia is applied. An expert group from the Swedish Resuscitation Council has reviewed the literature and made recommendations taking into account the effects of induced hypothermia and concomitant sedation.A delayed neurological evaluation at 72h after rewarming is recommended for hypothermia treated patients. This evaluation should be based on several independent methods and the possibility of lingering pharmacological effects should be considered.
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