77 research outputs found

    The early minutes of in-hospital cardiac arrest: Shock or CPR? A population based prospective study

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    <p>Abstract</p> <p>Objectives</p> <p>In the early minutes of cardiac arrest, timing of defibrillation and cardiopulmonary resuscitation during the basic life support phase (BLS CPR) is debated. Aims of this study were to provide in-hospital incidence and outcome data, and to investigate the relation between outcome and time from collapse to defibrillation, time to BLS CPR, and CPR quality.</p> <p>Methods</p> <p>Resuscitation attempts during a 3-year period at St. Olav's University Hospital (960 beds) were prospectively registered. The times between collapse and initiation of BLS CPR, and defibrillation were determined. CPR quality was assessed by the resuscitation team. The relation between these variables and outcome (short term survival and discharge) was explored using non-parametric correlation and logistic regression.</p> <p>Results</p> <p>CPR was started in a total of 223 arrests, an incidence of 77 episodes per 1000 beds per year. Return of spontaneous circulation occurred in 40%, and 29 patients (13%) survived to discharge. Median time from collapse to BLS CPR was 1 minute; CPR was judged to be of good quality in half of the episodes. CPR during the first 3 minutes in ventricular fibrillation (VF/VT) was negatively associated with survival, but later proved beneficial. For patients with non-shockable rhythms, we found no association between outcome and time to BLS or CPR quality.</p> <p>Conclusion</p> <p>Our findings indicate that defibrillation should have priority during the first 3 minutes of VF/VT. Later, patients benefit from CPR in conjunction with defibrillation. Patients presenting with non-shockable rhythms have a grave prognosis, and the outcome was not associated with time to BLS or CPR quality.</p

    Pitfalls with the "chest compression-only" approach: the challenge of an unusual cause

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    Chest compression-only (CC-only) is now incorporated in the Norwegian protocol for dispatch guided CPR (cardiopulmonary resuscitation) in cardiac arrest of presumed cardiac aetiology

    Differences in trauma team activation criteria among Norwegian hospitals

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    <p>Abstract</p> <p>Background</p> <p>To ensure the rapid and correct triage of patients in potential need of specialized treatment, Norwegian hospitals are expected to establish trauma teams with predefined criteria for their activation. The objective of this study was to map and describe the criteria currently in use.</p> <p>Methods</p> <p>We undertook a cross-sectional survey in the summer of 2008, using structured telephone interviews to all Norwegian hospitals that might admit severely injured patients.</p> <p>Results</p> <p>Forty-nine hospitals were included, of which 48 (98%) had a trauma team and 20 had a hospital-based trauma registry. Criteria for trauma team activation were found at 46 (94%) hospitals. No single criterion was common to all hospitals. The median number of criteria per hospital was 23 (range 8-40), with a total number of 156 and wide variation with respect to physiological "cut-off" values. The mechanism of injury was commonly in use despite a well-known, large over-triage rate.</p> <p>Conclusions</p> <p>In recent years, Norwegian hospitals have gradually established trauma teams and criteria for their activation. These criteria show considerable variation, including physiological "cut-off" values.</p

    A Web-Based Communication Tool for Postoperative Follow-up and Pain Assessment at Home After Primary Knee Arthroplasty: Feasibility and Usability Study

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    Background: We report the use of an electronic tool, Eir (Eir Solutions AS, Norway), for symptom registration at home after knee arthroplasty. This electronic tool was used in a randomized controlled trial (RCT) comparing 3 different analgesic regimens with respect to postoperative pain and side effects. Objective: The aim of this substudy was to investigate this electronic tool for symptom registrations at home with respect to usability (ie, how easy it was to use) and feasibility (ie, how well the tool served its purpose). Methods: To assess the tool's usability, all participants were invited to fill out the 10-item System Usability Scale (SUS) after using the tool for 8 days. To assess feasibility, data regarding the participants' ability to use the tool with or without assistance or reminders were collected qualitatively on a daily basis during the study period. Results: A total of 134 patients completed the RCT. Data concerning feasibility of the web-based tool were collected from all 134 patients. The SUS was completed by 119 of the 134 patients; 70.2% (94/134) of the patients managed to use the tool at home without any technical support. All technical challenges were related to the login procedure or internet access. The mean SUS score was 89.6 (median 92.5; range 22.5-100). Conclusions: This study showed high feasibility and high usability of the Eir web tool. The received reports gave the necessary information needed for both research data and clinical follow-up.publishedVersio

    Publication of clinical trial protocols – what can we learn?

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    Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity

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    Introduction Pulseless electrical activity (PEA) is commonly observed in in-hospital cardiac arrest (IHCA). Universally available ECG characteristics such as QRS duration (QRSd) and heart rate (HR) may develop differently in patients who obtain ROSC or not. The aim of this study was to assess prospectively how QRSd and HR as biomarkers predict the immediate outcome of patients with PEA. Method We investigated 327 episodes of IHCA in 298 patients at two US and one Norwegian hospital. We assessed the ECG in 559 segments of PEA nested within episodes, measuring QRSd and HR during pauses of compressions, and noted the clinical state that immediately followed PEA. We investigated the development of HR, QRSd, and transitions to ROSC or no-ROSC (VF/VT, asystole or death) in a joint longitudinal and competing risks statistical model. Results Higher HR, and a rising HR, reflect a higher transition intensity (“hazard”) to ROSC (p < 0.001), but HR was not associated with the transition intensity to no-ROSC. A lower QRSd and a shrinking QRSd reflect an increased transition intensity to ROSC (p = 0.023) and a reduced transition intensity to no-ROSC (p = 0.002). Conclusion HR and QRSd convey information of the immediate outcome during resuscitation from PEA. These universally available and promising biomarkers may guide the emergency team in tailoring individual treatment.publishedVersio

    A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest

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    Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological response as judged by ECG-features, to guide therapy in a clinical context. A total of 821 compression sequences were extracted from 394 out-of-hospital resuscitation episodes. Sequences were categorized as effective if the post sequence cardiac rhythm had better prognosis than the pre-sequence rhythm by a positive difference, otherwise as non effective if the difference was negative. CPRQ parameters related to depth and rate were calculated. Three alternative approaches were designed for the binary classifier based on the CPRQ parameters: quadratic discriminant analysis (QDA), logistic regression (LR) and artificial neural networks (ANN). The positive class discriminant function defined the probability of effective compressions (Pec). The classification accuracies were around 0.6 for all three models. The highest probability estimates of effective chest compressions corresponded to the depth (5–6 cm) and rate (100–120 min −1 ) currently recommended in the CPR guidelines. We have proposed a novel method to relate the quality of chest compressions to the physiologic response to CPR.acceptedVersio
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