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Sökning: WFRF:(Ekelund Ulf) > Khoshnood Ardavan

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1.
  • Khoshnood, Ardavan, et al. (författare)
  • Gärningsmannen, brottet och offret
  • 2019. - 1
  • Ingår i: Brottslighet och utsatthet i Malmö. - 9789144126272 ; , s. 51-66
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • In addition to Malmö having the most reported crimes in relation to its population, it is also one of the cities in the country with the highest percentage of gun-related violence. Our earlier studies show that people who commit serious crimes such as homicide or attempted homicide in Malmö are primarily single, have no psychiatric diagnosis and mainly use knives or other sharp weapons to commit their crimes, although guns do cause more fatalities. The victims are usually somewhat older than the offenders and there is often a relationship between them. In fatal knife attacks, the leading cause of death among victims is loss of blood. For victims who are attacked by guns, head injuries are the main cause of death.
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2.
  • Khoshnood, Ardavan, et al. (författare)
  • The Offender, the crime and the victim
  • 2019. - 1
  • Ingår i: Crime, Victimization and Vulnerability in Malmö. - 9789144133041 ; , s. 53-69
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • In addition to Malmö having the most reported crimes in relation to its population, it is also one of the cities in the country with the highest percentage of gun-related violence. Our earlier studies show that people who commit serious crimes such as homicide or attempted homicide in Malmö are primarily single, have no psychiatric diagnosis and mainly use knives or other sharp weapons to commit their crimes, although guns do cause more fatalities. The victims are usually somewhat older than the offenders and there is often a relationship between them. In fatal knife attacks, the leading cause of death among victims is loss of blood. For victims who are attacked by guns, head injuries are the main cause of death.
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3.
  • Mokhtari, Arash, et al. (författare)
  • Effectiveness and Safety of the European Society of Cardiology 0-/1-h Troponin Rule-Out Protocol : The Design of the ESC-TROP Multicenter Implementation Study
  • 2020
  • Ingår i: Cardiology. - : S. Karger AG. - 1421-9751 .- 0008-6312. ; 145:11, s. 685-692
  • Tidskriftsartikel (refereegranskat)abstract
    • Chest pain is one of the most common complaints at the emergency department (ED), and it is commonly the perceived likelihood of acute coronary syndrome (ACS) that drives management. Guidelines from the European Society of Cardiology (ESC) recommend the use of a 0-/1-h high-sensitivity cardiac troponin T (hs-cTnT) protocol to rule out or in ACS, but this is mostly based on observational studies. The aim of the ESC-TROP trial is to determine the safety and effectiveness of the ESC 0-/1-h hs-cTnT protocol when implemented in routine care. Adult chest pain patients at 5 EDs in the Skåne Region, Sweden, are included in the trial. The 0-/1-h hs-cTnT ESC protocol supplemented with clinical assessment and electrocardiography (ECG) is implemented at 3 EDs, and the other 2 EDs act as concurrent controls. Outcomes will be evaluated during the 10 months after the implementation and the corresponding 10 months of the previous year. The 2 co-primary outcomes are (a) acute myocardial infarction (AMI) and all-cause death within 30 days in patients discharged from the ED, and (b) ED length of stay of the same patients. Secondary outcomes include the proportion of chest pain patients discharged from the ED and the number of ruled-out patients undergoing objective testing within 30 days. The ESC-TROP trial will determine the performance and applicability of the 0-/1-h hs-cTnT ESC protocol supplemented with clinical assessment and ECG when implemented in routine ED care. It will provide evidence whether 0-/1-h hs-cTnT testing is safe, effective, and feasible, and whether widespread implementation as recommended by ESC guidelines should be supported.
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4.
  • Almer, Jakob, et al. (författare)
  • Ischemic QRS prolongation as a biomarker of myocardial injury in STEMI patients
  • 2019
  • Ingår i: Annals of Noninvasive Electrocardiology. - : Wiley. - 1082-720X. ; 24:1
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Patients with acute coronary occlusion (ACO) may not only have ischemia-related ST-segment changes but also changes in the QRS complex. It has recently been shown in dogs that a greater ischemic QRS prolongation (IQP) during ACO is related to lower collateral flow. This suggests that greater IQP could indicate more severe ischemia and thereby more rapid infarct development. Therefore, the purpose was to evaluate the relationship between IQP and measures of myocardial injury in patients presenting with acute ST-elevation myocardial infarction (STEMI).METHODS: Seventy-seven patients with first-time STEMI were retrospectively included from the recently published SOCCER trial. All patients underwent a cardiac magnetic resonance (CMR) examination 2-6 days after the acute event. Infarct size (IS), myocardium at risk (MaR), and myocardial salvage index (MSI) were assessed and related to IQP. IQP measures assessed were; computer-generated QRS duration, QRS duration at maximum ST deviation, absolute IQP and relative IQP, all derived from a pre-PCI, 12-lead ECG.RESULTS: Median absolute IQP was 10 ms (range 0-115 ms). There were no statistically significant correlations between measures of IQP and any of the CMR measures of myocardial injury (absolute IQP vs IS, r = 0.03, p = 0.80; MaR, r = -0.01, p = 0.89; MSI, r = -0.05, p = 0.68).CONCLUSIONS: Unlike previous experimental studies, the IQP was limited in patients presenting at the emergency room with first-time STEMI and no correlation was found between IQP and CMR variables of myocardial injury in these patients. Therefore, IQP does not seem to be a suitable biomarker for triaging patients in this clinical context.
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5.
  • Dryver, Eric, et al. (författare)
  • Checklistor och »crowdsourcing« för ökad patientsäkerhet på akutmottagningen
  • 2014
  • Ingår i: Läkartidningen. - 0023-7205. ; 111:11, s. 493-494
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Checklists make it easier for the emergency physician. This is the idea behind a website launched this month. The site will contain suggestions for checklists on what information which should be obtained for the assessment of the patient at the emergency department. All emergency staff are invited to participate in the development of the project.
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6.
  • Ekelund, Ulf, et al. (författare)
  • Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation
  • 2012
  • Ingår i: BMC Research Notes. - : Springer Science and Business Media LLC. - 1756-0500. ; 5:420
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: There is a circadian and circaseptal (weekly) variation in the onset of acute coronary syndrome (ACS). The aim of this study was to elucidate whether the likelihood of ACS among emergency department (ED) chest pain patients varies with the time of presentation. Methods: All patients presenting to the Lund ED at Skåne University Hospital with chest pain or discomfort during 2006 and 2007 were retrospectively included. Age, sex, arrival time at the ED and discharge diagnose (ACS or not) were obtained from the electronic medical records. Results: There was a clear but moderate circadian variation in the likelihood of ACS among presenting chest pain patients, the likelihood between 8 and 10 am being almost twice as high as between 6 and 8 pm. This was mainly explained by a variation in the ACS likelihood in females and patients under 65 years, with no significant variation in males and patients over 65 years. There was no significant circaseptal variation in the ACS likelihood. Conclusions: Our results indicate that there is a circadian variation in the likelihood of ACS among ED chest pain patients, and suggest that physicians should consider the time of presentation to the ED when determining the likelihood of ACS.
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7.
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8.
  • Eriksson, David, et al. (författare)
  • Diagnostic Accuracy of History and Physical Examination for Predicting Major Adverse Cardiac Events Within 30 Days in Patients With Acute Chest Pain
  • 2020
  • Ingår i: Journal of Emergency Medicine. - : Elsevier BV. - 0736-4679. ; 58:1, s. 1-10
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: The cornerstones in the assessment of emergency department (ED) patients with suspected acute coronary syndrome (ACS) are patient history and physical examination, electrocardiogram, and cardiac troponins. Although there are several prior studies on this subject, they have in some cases produced inconsistent results.OBJECTIVE: The aim of this study was to evaluate the diagnostic and prognostic accuracy of elements of patient history and the physical examination in ED chest pain patients for predicting major adverse cardiac events (MACE) within 30 days.METHODS: This was a prospective observational study that included 1167 ED patients with nontraumatic chest pain. We collected clinical data during the initial ED assessment of the patients. Our primaryoutcome was 30-day MACE.RESULTS: Pain radiating to both arms increased the probability of 30-day MACE (positive likelihood ratio [LR+] 2.7), whereas episodic chest pain lasting seconds (LR+ 0.0) and >24 h (LR+ 0.1) markedly decreased the risk. In the physical examination, pulmonary rales (LR+ 3.0) increased the risk of 30-day MACE, while pain reproduced by palpation (LR+ 0.3) decreased the risk. Among cardiac risk factors, a history of diabetes (LR+ 3.0) and peripheral arterial disease (LR+ 2.7) were the most predictive factors.CONCLUSIONS: No clinical findings reliably ruled in 30-day MACE, whereas episodic chest pain lasting seconds and pain lasting more than 24 h markedly decreased the risk of 30-day MACE. Consequently, these two findings can be adjuncts in ruling out 30-day MACE.
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9.
  • Forberg, Jakob L, et al. (författare)
  • An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
  • 2012
  • Ingår i: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. - : Springer Science and Business Media LLC. - 1757-7241. ; 20:1, s. 1-9
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Pre-hospital electrocardiogram (ECG) transmission to an expert for interpretation and triage reduces time to acute percutaneous coronary intervention (PCI) in patients with ST elevation Myocardial Infarction (STEMI). In order to detect all STEMI patients, the ECG should be transmitted in all cases of suspected acute cardiac ischemia. The aim of this study was to examine the ability of an artificial neural network (ANN) to safely reduce the number of ECGs transmitted by identifying patients without STEMI and patients not needing acute PCI. Methods: Five hundred and sixty ambulance ECGs transmitted to the coronary care unit (CCU) in routine care were prospectively collected. The ECG interpretation by the ANN was compared with the diagnosis (STEMI or not) and the need for an acute PCI (or not) as determined from the Swedish coronary angiography and angioplasty register. The CCU physician's real time ECG interpretation (STEMI or not) and triage decision (acute PCI or not) were registered for comparison. Results: The ANN sensitivity, specificity, positive and negative predictive values for STEMI was 95%, 68%, 18% and 99%, respectively, and for a need of acute PCI it was 97%, 68%, 17% and 100%. The area under the ANN's receiver operating characteristics curve for STEMI detection was 0.93 (95% CI 0.89-0.96) and for predicting the need of acute PCI 0.94 (95% CI 0.90-0.97). If ECGs where the ANN did not identify a STEMI or a need of acute PCI were theoretically to be withheld from transmission, the number of ECGs sent to the CCU could have been reduced by 64% without missing any case with STEMI or a need of immediate PCI. Conclusions: Our ANN had an excellent ability to predict STEMI and the need of acute PCI in ambulance ECGs, and has a potential to safely reduce the number of ECG transmitted to the CCU by almost two thirds.
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10.
  • Heyman, Ellen Tolestam, et al. (författare)
  • Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
  • 2021
  • Ingår i: Journal of Emergency Medicine. - Philadelphia, PA : Elsevier BV. - 0736-4679 .- 1090-1280. ; 61:6, s. 763-773
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, might have a weaker association with the ED visit.OBJECTIVES: To develop an ML algorithm that predicts unsurprising deaths within 30 days after ED discharge.METHODS: In this retrospective registry study, we included all ED attendances within the Swedish region of Halland in 2015 and 2016. All registered deaths within 30 days after ED discharge were classified as either "surprising" or "unsurprising" by an adjudicating committee with three senior specialists in emergency medicine. ML algorithms were developed for the death subclasses by using Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM).RESULTS: Of all 30-day deaths (n = 148), 76% (n = 113) were not surprising to the adjudicating committee. The most common diseases were advanced stage cancer, multidisease/frailty, and dementia. By using LR, RF, and SVM, mean area under the receiver operating characteristic curve (ROC-AUC) of unsurprising deaths in the test set were 0.950 (SD 0.008), 0.944 (SD 0.007), and 0.949 (SD 0.007), respectively. For all mortality, the ROC-AUCs for LR, RF, and SVM were 0.924 (SD 0.012), 0.922 (SD 0.009), and 0.931 (SD 0.008). The difference in prediction performance between all and unsurprising death was statistically significant (P < .001) for all three models.CONCLUSION: In patients discharged to home from the ED, three-quarters of all 30-day deaths did not surprise an adjudicating committee with emergency medicine specialists. When only unsurprising deaths were included, ML mortality prediction improved significantly.
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