For patients admitted to the medical ward, it is usually difficult to predict if their clinical condition will deteriorate, however subtle changes in vital signs are usually present 8 to 24 hours before a life-threatening event such as respiratory failure leading to ICU admission, or unanticipated cardiac arrest. Such adverse trends in clinical observations can be missed, misinterpreted or not appreciated as urgent. New continuous and wearable 24/7 clinical vital parameter monitoring systems offer a unique possibility to identify clinical deterioration before patients progress beyond the point-of-no-return, where adverse events are inevitable. The WARD-COPD project aims to determine the number and duration of cardiopulmonary micro events during the first 4 days after hospital admission with Acute Exacerbation of COPD. We will also test the server installation, develop a database of core data and assess the frequency of artefacts and failure to capture the continuous monitoring signal.
Study Type
OBSERVATIONAL
Enrollment
30
Bispebjerg Hospital
Copenhagen, Denmark
Blood oxygen saturation resulting in a single parameter score of 3 according to EWS algorithm
Hypoxemia: arterial oxygen saturation \< 92 %
Time frame: The patients are monitored for 4 days
Heart rate resulting in a single parameter score of 3 according to EWS algorithm
All data from the monitoring will be analyzed using the thresholds from the EWS algorithm and will be sorted into relevant categories. The following thresholds are used: Bradycardia: pulse \< 41 bpm Tachycardia: pulse \> 130 bpm
Time frame: The patients are monitored for 4 days
Respiratory rate resulting in a single parameter score of 3 according to EWS algorithm
Bradypnea: \< 9 breaths/min Tachypnea: \> 24 breaths/min
Time frame: The patients are monitored for 4 days
Blood pressure resulting in a single parameter score of 3 according to EWS algorithm
Hypotension: Systolic blood pressure \< 91 mmHg Hypertension: Systolic blood pressure \> 219 mmHg
Time frame: The patients are monitored for 4 days
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