A risk prediction model, using patient characteristics, early available clinical parameters, laboratory results and use of medication as parameters could reliably predict the risk of ICU-AW two days after ICU admission.
ID
Bron
Verkorte titel
Aandoening
Intensive Care Unit (ICU)-acquired weakness
Ondersteuning
Onderzoeksproduct en/of interventie
Uitkomstmaten
Primaire uitkomstmaten
Predictive performance (discrimination, calibration and classification) of a risk prediction model for ICU-AW.
Achtergrond van het onderzoek
Intensive Care Unit–acquired weakness (ICU–AW) is a frequent and debilitating complication of critical illness. It is important to identify ICU-AW early after onset of critical illness to provide accurate prognostic information to patients and their families and to enable timely initiation of supportive interventions, like intensive physiotherapy and tracheostomy. Using the current diagnostic reference standard, assessment of muscle strength using the Medical Research Council (MRC) score, an early diagnosis of ICU–AW is frequently precluded due to impaired consciousness or attentiveness.
A prediction model using easily available data might be able to predict the risk of ICU-AW and might enable early interventions. In a previous study, we found that it was possible to predict the risk of ICU-AW using simple and widely available data. However, that risk prediction model was based on single center data which limits the generalizability. Therefore we aim to validate and update the risk prediction model for ICU-AW using prospective data from multiple centers.
Doel van het onderzoek
A risk prediction model, using patient characteristics, early available clinical parameters, laboratory results and use of medication as parameters could reliably predict the risk of ICU-AW two days after ICU admission.
Onderzoeksopzet
At 48 hours after ICU admission, after screening of the in-and exclusion criteria, the patient will be included in the study. Thereafter the candidate predictors will be collected from the patient file. As soon as the patient is awake and attentive the attending physiotherapist will assess the muscle strength of the patient.
Onderzoeksproduct en/of interventie
At 48 hours after ICU admission, patient characteristics, early available clinical parameters, laboratory results and use of medication parameters will be collected from the patient file. The candidate predictors are: age, gender, pre-existent polyneuropathy, polyneuropathy risk factor, systemic corticosteroid use prior to ICU admission, unplanned admission, suspected sepsis, presence of shock, RASS score, average urine production, highest glucose, lowest glucose, lowest pO2, FiO2 at lowest pO2, lowest pH, highest lactate, lowest platelets, lowest ionized calcium, highest ionized calcium, lowest phosphate, red blood cell transfusion, treatment with any corticosteroid, repeated treatment with any neuromuscular blocker and treatment with any aminoglycoside.
Muscle strength will be investigated by the attending physiotherapist, using the Medical Research Council (MRC) sumscore to assess the presence of ICU-AW.
Publiek
Wetenschappelijk
Belangrijkste voorwaarden om deel te mogen nemen (Inclusiecriteria)
-Adult patients newly admitted to the ICU
-Mechanically ventilated at 48h after admission
Belangrijkste redenen om niet deel te kunnen nemen (Exclusiecriteria)
- Cardiac arrest, any central nervous system (CNS) disorder (stroke, traumatic brain or spinal injury, CNS infection, CNS tumor) or neuromuscular disease as reason for admission
- Pre-existing spinal injury
- Poor pre-hospital functional status (modified Rankin score ≥4)
- Poor prognosis; death likely within 48 hours after inclusion
Opzet
Deelname
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Andere (mogelijk minder actuele) registraties in dit register
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In overige registers
Register | ID |
---|---|
NTR-new | NL4180 |
NTR-old | NTR4331 |
Ander register | METC reference number : W13_193#13.17.0239 |
ISRCTN | ISRCTN wordt niet meer aangevraagd. |