Bispebjerg Hospital
Copenhagen, 2400, Denmark
NCT Number: NCT04248842
For patients admitted to the medical ward, it is often 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 27/7 clinical vital parameter monitoring systems offer a unique possibility to identify clinical deterioration before patients condition progress beyond the point-of-no-return, where adverse events are inevitable. As part of the WARD-COPD project, this validation study aim to assess the accuracy of physiologic parameters derived from standard and wireless patient monitors
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Notify Me18 year–100 year
All sexes
Observational
Copenhagen, 2400, Denmark
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Patients recruited will be continuously monitored with Isansys Lifetouch patch, Isansys wireless blood pressure monitor (Meditech Blue BP-05), Nonin WristOx 3150 as well as departments standard monitors
Time frame: Two hours of monitoring (measurement interval of 15 mins)
Analysed using a Bland Altman (BA) analysis to measure mean difference and limits of agreement between the two methods. The BA analysis will correct for repeated measures within each subject if required.
Time frame: Two hours of monitoring (measurement interval of 15 mins)
Analysed using a Bland Altman (BA) analysis to measure mean difference and limits of agreement between the three methods. The BA analysis will correct for repeated measures within each subject if required.
Time frame: Two hours of monitoring (measurement interval of 15 mins)
Analysed using a Bland Altman (BA) analysis to measure mean difference and limits of agreement between the two methods. The BA analysis will correct for repeated measures within each subject if required.
Time frame: Two hours of monitoring (measurement interval of 15 mins)
Analysed using a Bland Altman (BA) analysis to measure mean difference and limits of agreement between the two methods. The BA analysis will correct for repeated measures within each subject if required.
Time frame: Two hours of monitoring (measurement interval of 15 mins)
Analysed using a Bland Altman (BA) analysis to measure mean difference and limits of agreement between the two methods. The BA analysis will correct for repeated measures within each subject if required.
University Hospital Bispebjerg and Frederiksberg
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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