Publications by authors named "Aasvang E"

Objectives: Music festivals are often a source of joy, but also a risk of injury. While previous studies suggest music can relieve pain, its effect has not been tested in festival settings, nor has the effect of high-energy vs soothing music been compared. We hypothesized that guests at a heavy metal music festival would experience less pain when listening to thrash heavy metal compared to relaxing music, with the effect being influenced by music preference and increased with higher alcohol intake.

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The gastric conduit can be created with partial preservation or a central ligation of the right gastric artery. Central ligation may facilitate complete removal of lymph node (LN) station 3; however, whether this influences conduit and anastomotic perfusion is unknown. Hence this study investigated whether a central ligation of the right gastric artery would affect conduit or anastomotic perfusion compared with partial preservation (local standard) during robot-assisted resection of gastroesophageal junction cancer.

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Background: Postoperative morbidity can reduce quality of life, physical performance, and tolerability of postoperative chemotherapy in patients with colorectal liver metastases (CRLM). Exercise can improve these outcomes in some cancer populations. However, it remains unknown whether exercise can be delivered in the early postoperative period following surgery for CRLM without increasing the risk of harms.

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  • * A study of 505 patients undergoing major abdominal surgery found that SVDs were detected a median of 48.1 hours before clinical suspicion of deterioration (CSD).
  • * This early detection could lead to more timely and effective interventions, potentially reducing the impact of SAEs.
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  • * A consensus meeting in March 2024, attended by 28 experts and stakeholders, aimed to standardize research protocols for studying neuropathic pain using human peripheral tissues.
  • * The meeting resulted in agreed-upon guidelines for phenotyping, laboratory protocols, statistical design, and data sharing to improve consistency in research and enhance understanding of neuropathic pain.
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  • * A review of peer-reviewed studies focused on CVSM solutions in general wards identified 26 relevant studies that examined AI algorithms aimed at enhancing clinical outcomes and optimizing alarm thresholds.
  • * While all four CVSM solutions indicated advanced AI capabilities on their websites, most studies only demonstrated algorithms functioning as simple AI, highlighting a gap between marketed promises and actual AI performance.
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Purpose: The increasing use of advanced medical technologies to detect adverse events, for instance, artificial intelligence-assisted technologies, has shown promise in improving various aspects within health care but may also come with substantial expenses. Therefore, understanding the potential economic benefits can guide decision-making processes regarding implementation. We aimed to estimate the potential cost savings associated with reducing length of stay and avoiding readmissions within the framework of an artificial intelligence-assisted vital signs monitoring system.

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Technological advances allow continuous vital sign monitoring at the general ward, but traditional vital signs alone may not predict serious adverse events (SAE). This study investigated continuous heart rate variability (HRV) monitoring's predictive value for SAEs in acute medical and major surgical patients. Data was collected from four prospective observational studies and two randomized controlled trials using a single-lead ECG.

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Background: Temperature is considered one of the primary vital signs for detection of complications such as infections. Continuous wireless real-time axillary temperature monitoring is technologically feasible at the general ward, but no clinical validation studies exist.

Methods: This study compared axillary temperature with a urinary bladder thermometer in 40 major abdominal postoperative patients.

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Background: Pre-operative iron deficiency anaemia (IDA) is common in patients undergoing elective major abdominal surgery and is associated with increased risk of perioperative complications. However, widespread implementation of pre-operative anaemia management is lacking. Guidelines recommend investigation of anaemia preferably 4-6 weeks before surgery to allow time for correction.

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  • - The study investigates the genetic factors contributing to chronic post-surgical pain (CPSP) by analyzing data from 1,350 individuals who underwent various types of surgery, and highlights a significant genetic component, estimating a 39% heritability for CPSP through meta-analysis.
  • - Researchers identified 77 key genetic variations (SNPs) linked to CPSP and noted that most of these are associated with immune system genes, especially those related to B and T cells.
  • - Animal studies showed that mice without T and B cells experienced worsened pain after surgery, which could be mitigated by transferring B cells, suggesting that the adaptive immune system plays a crucial protective role against CPSP.
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Patients admitted for acute medical conditions and major noncardiac surgery are at risk of myocardial injury. This is frequently asymptomatic, especially in the context of concomitant pain and analgesics, and detection thus relies on cardiac biomarkers. Continuous single-lead ST-segment monitoring from wireless electrocardiogram (ECG) may enable more timely intervention, but criteria for alerts need to be defined to reduce false alerts.

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The monitoring of oxygen therapy when patients are admitted to medical and surgical wards could be important because exposure to excessive oxygen administration (EOA) may have fatal consequences. We aimed to investigate the association between EOA, monitored by wireless pulse oximeter, and nonfatal serious adverse events (SAEs) and mortality within 30 days. We included patients in the Capital Region of Copenhagen between 2017 and 2018.

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Objectives: Continuous vital sign monitoring at the general hospital ward has major potential advantages over intermittent monitoring but generates many alerts with risk of alert fatigue. We hypothesized that the number of alerts would decrease using different filters.

Methods: This study was an exploratory analysis of the alert reducing effect from adding two different filters to continuously collected vital sign data (peripheral oxygen saturation, blood pressure, heart rate, and respiratory rate) in patients admitted after major surgery or severe medical disease.

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Vital signs abnormalities in the post-anaesthesia care unit (PACU) may identify patients at risk of severe postoperative complications in the general ward, but are sparsely investigated by continuous monitoring. We aimed to assess if the severity of vital signs abnormalities in the PACU was correlated to the duration of severe vital signs abnormalities and serious adverse events (SAEs) in the general ward. Prospective cohort study.

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Purpose: Monitoring of vital signs at the general ward with continuous assessments aided by artificial intelligence (AI) is increasingly being explored in the clinical setting. This review aims to describe current evidence for continuous vital sign monitoring (CVSM) with AI-based alerts - from sensor technology, through alert reduction, impact on complications, and to user-experience during implementation.

Recent Findings: CVSM identifies significantly more vital sign deviations than manual intermittent monitoring.

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Article Synopsis
  • - Groin hernia repair is a highly common surgery, with over 20 million procedures done annually, prompting the need for updated management guidelines since the last ones were published in 2018.
  • - An expert group of 30 international surgeons reviewed new research until April 2022, resulting in updated guidelines with 39 new statements and 32 recommendations, including 16 strong ones.
  • - The updated guidelines aim to provide the latest evidence for better groin hernia management practices, with a commitment to adapt future guidelines as new methodologies emerge.
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Background: Vital sign monitoring is considered an essential aspect of clinical care in hospitals. In general wards, this relies on intermittent manual assessments performed by clinical staff at intervals of up to 12 h. In recent years, continuous monitoring of vital signs has been introduced to the clinic, with improved patient outcomes being one of several potential benefits.

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Premature discharge may result in readmission while longer hospitalization may increase risk of complications such as immobilization and reduce hospital capacity. Continuous monitoring detects more deviating vital signs than intermittent measurements and may help identify patients at risk of deterioration after discharge. We aimed to investigate the association between deviating vital signs detected by continuous monitoring prior to discharge and risk of readmission within 30 days.

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Technological advances seen in recent years have introduced the possibility of changing the way hospitalized patients are monitored by abolishing the traditional track-and-trigger systems and implementing continuous monitoring using wearable biosensors. However, this new monitoring paradigm raise demand for novel ways of analyzing the data streams in real time. The aim of this study was to design a stability index using kernel density estimation (KDE) fitted to observations of physiological stability incorporating the patients' circadian rhythm.

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Monitoring of high-risk patients in hospital wards is crucial in identifying and preventing clinical deterioration. Sympathetic nervous system activity measured continuously and non-invasively by Electrodermal activity (EDA) may relate to complications, but the clinical use remains untested. The aim of this study was to explore associations between deviations of EDA and subsequent serious adverse events (SAE).

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Wearable wireless electrocardiographic (ECG) monitoring is well-proven for arrythmia detection, but ischemia detection accuracy is not well-described. We aimed to assess the agreement of ST-segment deviation from single- versus 12-lead ECG and their accuracy for the detection of reversible ischemia. Bias and limits of agreement (LoA) were calculated between maximum deviations in ST segments from single- and 12-lead ECG during Rb PET-myocardial cardiac stress scintigraphy.

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