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Dive into the research topics where Daniel Bergum is active.

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Featured researches published by Daniel Bergum.


Acta Anaesthesiologica Scandinavica | 2009

Oxytocin infusion: acute hyponatraemia, seizures and coma.

Daniel Bergum; H. Lonnée; T.F. Hakli

Hyponatremia is not uncommon, serious cases can cause dangerous complications as seizures, brain damage and even death. We present a case of a young mother with post partum hemorrhage and some of the serious complications.


Resuscitation | 2015

Causes of in-hospital cardiac arrest – Incidences and rate of recognition ☆

Daniel Bergum; Trond Nordseth; Ole Christian Mjølstad; Eirik Skogvoll; Bjørn Olav Haugen

BACKGROUND AND METHODS Do emergency teams (ETs) consider the underlying causes of in-hospital cardiac arrest (IHCA) during advanced life support (ALS)? In a 4.5-year prospective observational study, an aetiology study group examined 302 episodes of IHCA. The purpose was to investigate the causes and cause-related survival and to evaluate whether these causes were recognised by the ETs. RESULTS In 258 (85%) episodes, the cause of IHCA was reliably determined. The cause was correctly recognised by the ET in 198 of 302 episodes (66%). In the majority of episodes, cardiac causes (156, 60%) or hypoxic causes (51, 20%) were present. The cause-related survival was 30% for cardiac aetiology and 37% for hypoxic aetiology. The initial cardiac rhythm was pulseless electrical activity (PEA) in 144 episodes (48%) followed by asystole in 70 episodes (23%) and combined ventricular fibrillation/ventricular tachycardia (VF/VT) in 83 episodes (27%). Seventy-one patients (25%) survived to hospital discharge. The median delay to cardiopulmonary resuscitation (CPR) was 1min (inter-quartile range 0-1min). CONCLUSIONS Various cardiac and hypoxic aetiologies dominated. In two-thirds of IHCA episodes, the underlying cause was correctly identified by the ET, i.e. according to the findings of the aetiology study group.


Resuscitation | 2013

Clinical state transitions during advanced life support (ALS) in in-hospital cardiac arrest

Trond Nordseth; Daniel Bergum; Dana P. Edelson; Theresa M. Olasveengen; Trygve Eftestøl; Rune Wiseth; Benjamin S. Abella; Eirik Skogvoll

BACKGROUND When providing advanced life support (ALS) in cardiac arrest, the patient may alternate between four clinical states: ventricular fibrillation/tachycardia (VF/VT), pulseless electrical activity (PEA), asystole, and return of spontaneous circulation (ROSC). At the end of the resuscitation efforts, either death has been declared or sustained ROSC has been obtained. The aim of this study was to describe and analyze the clinical state transitions during ALS among patients experiencing in-hospital cardiac arrest. METHODS AND RESULTS The defibrillator files from 311 in-hospital cardiac arrests at the University of Chicago Hospital (IL, USA) and St. Olav University Hospital (Trondheim, Norway) were analyzed (clinicaltrials.gov: NCT00920244). The transitions between clinical states were annotated along the time axis and visualized as plots of the state prevalence according to time. The cumulative intensity of the state transitions was estimated by the Nelson-Aalen estimator for each type of state transition, and for the intensities of overall state transitions. Between 70% and 90% of patients who eventually obtained sustained ROSC had progressed to ROSC by approximately 15-20 min of ALS, depending on the initial rhythm. Patients behaving unstably after this time period, i.e., alternating between ROSC, VF/VT and PEA, had a high risk of ultimately being declared dead. CONCLUSIONS We provide an overall picture of the intensities and patterns of clinical state transitions during in-hospital ALS. The majority of patients who obtained sustained ROSC obtained this state and stabilized within the first 15-20 min of ALS. Those who continued to behave unstably after this time point had a high risk of ultimately being declared dead.


Resuscitation | 2015

Recognizing the causes of in-hospital cardiac arrest — A survival benefit

Daniel Bergum; Bjørn Olav Haugen; Trond Nordseth; Ole Christian Mjølstad; Eirik Skogvoll

BACKGROUND The in-hospital emergency team (ET) may or may not recognize the causes of in-hospital cardiac arrest (IHCA) during the provision of cardiopulmonary resuscitation (CPR). In a previous 4.5-year prospective study, this rate of recognition was found to be 66%. The aim of this study was to investigate whether survival improved if the cause of arrest was recognized by the ET. METHODS The difference in survival if the causes were recognized versus not recognized was estimated after propensity score matching patients from these two groups. RESULTS Overall survival to hospital discharge was 25%. After propensity score matching, the benefit of recognizing the cause regarding 1-hour survival of the episode was 29% (p<0.01), and 19% regarding hospital discharge, respectively. Variables commonly known to affect the outcome after cardiac arrest were found to be balanced between the two groups. The largest difference was found in patients with non-cardiac causes and non-shockable presenting rhythms. Patient records and pre-arrest clinical symptoms were the information sources most frequently utilized by the ET to establish the causes of arrest. CONCLUSIONS Patients suffering an IHCA showed a substantial survival benefit if the causes of arrest were recognized by the ET. Patient records and pre-arrest clinical symptoms were the sources of information most frequently utilized in these instances.


Resuscitation | 2018

ECG changes during resuscitation of patients with initial pulseless electrical activity are associated with return of spontaneous circulation

Gunnar Waage Skjeflo; Trond Nordseth; Jan P. Loennechen; Daniel Bergum; Eirik Skogvoll

BACKGROUND Pulseless electrical activity (PEA) is a frequent initial rhythm in cardiac arrest, and ECG characteristics have been linked to prognosis. The aim of this study was to examine the development of ECG characteristics during advanced life support (ALS) and cardiopulmonary resuscitation (CPR) in cardiac arrest with initial PEA, and to assess any association with survival. METHODS Patients with in-hospital cardiac arrest with initial PEA at St. Olav Hospital (Trondheim, Norway) over a three-year period were included. A total of 2187 combined observations of QRS complex rate (heart rate) and QRS complex width for the duration of ALS were determined from defibrillator recordings from 74 episodes of cardiac arrest. RESULTS Increasing heart rate and decreasing QRS complex width during ALS was significantly more prevalent in patients who obtained return of spontaneous circulation compared to patients who were declared dead. CONCLUSION Changes in ECG characteristics during ALS in cardiac arrest presenting as PEA are related to prognosis. An increase in heart rate was observed in the last 3-6 min before ROSC was obtained.


JMIR Research Protocols | 2018

Transitions Between Circulatory States After Out-of-Hospital Cardiac Arrest: Protocol for an Observational, Prospective Cohort Study

Halvor Langeland; Daniel Bergum; Magnus Løberg; Knut Bjørnstad; Jan Kristian Damås; Tom Eirik Mollnes; Nils Kristian Skjaervold; Pål Klepstad

Background The post cardiac arrest syndrome (PCAS) is responsible for the majority of in-hospital deaths following cardiac arrest (CA). The major elements of PCAS are anoxic brain injury and circulatory failure. Objective This study aimed to investigate the clinical characteristics of circulatory failure and inflammatory responses after out-of-hospital cardiac arrest (OHCA) and to identify patterns of circulatory and inflammatory responses, which may predict circulatory deterioration in PCAS. Methods This study is a single-center cohort study of 50 patients who receive intensive care after OHCA. The patients are followed for 5 days where detailed information from circulatory variables, including measurements by pulmonary artery catheters (PACs), is obtained in high resolution. Blood samples for inflammatory and endothelial biomarkers are taken at inclusion and thereafter daily. Every 10 min, the patients will be assessed and categorized in one of three circulatory categories. These categories are based on mean arterial pressure; heart rate; serum lactate concentrations; superior vena cava oxygen saturation; and need for fluid, vasoactive medications, and other interventions. We will analyze predictors of circulatory failure and their relation to inflammatory biomarkers. Results Patient inclusion started in January 2016. Conclusions This study will obtain advanced hemodynamic data with high resolution during the acute phase of PCAS and will analyze the details in circulatory state transitions related to circulatory failure. We aim to identify early predictors of circulatory deterioration and favorable outcome after CA. Trial Registration ClinicalTrials.gov: NCT02648061; https://clinicaltrials.gov/ct2/show/NCT02648061 (Archived by WebCite at http://www.webcitation.org/6wVASuOla)


Resuscitation | 2014

Optimal loop duration during the provision of in-hospital advanced life support (ALS) to patients with an initial non-shockable rhythm.

Trond Nordseth; Dana P. Edelson; Daniel Bergum; Theresa M. Olasveengen; Trygve Eftestøl; Rune Wiseth; Jan Terje Kvaløy; Benjamin S. Abella; Eirik Skogvoll


Resuscitation | 2016

ECG patterns in early pulseless electrical activity-Associations with aetiology and survival of in-hospital cardiac arrest

Daniel Bergum; Gunnar Waage Skjeflo; Trond Nordseth; Ole Christian Mjølstad; Bjørn Olav Haugen; Eirik Skogvoll; Jan P. Loennechen


Resuscitation | 2010

The dynamics of in-hospital cardiac arrest

Trond Nordseth; Daniel Bergum; Trygve Eftestøl; Theresa M. Olasveengen; E. Skogvoll


Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | 2010

Continuous chest compressions: encouraging but unusual.

Daniel Bergum; Eirik Skogvoll

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Trond Nordseth

Norwegian University of Science and Technology

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Eirik Skogvoll

Norwegian University of Science and Technology

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Bjørn Olav Haugen

Norwegian University of Science and Technology

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Ole Christian Mjølstad

Norwegian University of Science and Technology

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Gunnar Waage Skjeflo

Norwegian University of Science and Technology

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Jan P. Loennechen

Norwegian University of Science and Technology

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