icu_survey_repository_s9

Each record is a reply to the online survey

MOESM1 of Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial

Additional file 1: Supplementary Method. CGM Device. Supplementary Tables. Table S1. The local insulin protocol. Table S2. Detection of dysglycemic events. Table S3a. Confounding factors on MARD. Table S3b. Spearman´s correlation of paO2, temperature, lactate, pH-value, hemoglobin, potassium and SOFA-Score and MARD. Supplementary Figures. Fig. S1. Correlation of blood glucose variability per patient and MARD per patient. Fig. S2. MARD after time-shifting the reference a fixed amount (1 up to 30 minutes). Fig. S3. Nurse questionnaire

Additional file 1: of Muscle mass, strength and functional outcomes in critically ill patients after cardiothoracic surgery: does neuromuscular electrical stimulation help? The Catastim 2 randomized controlled trial

Ultrasound scan of the left thigh at the lateral measuring point in the transverse and sagittal plane (Patient no. 104, control group) on postoperative day 3. (TIF 798 kb

Observed and predicted hospital mortality by the PANDORA score.

<p>Patients are grouped by decile-classes of predicted in-hospital mortality within 30 days after the cross-sectional survey derived from the PANDORA score for the development sample (left panel) from the years 2006–2009 (n = 43894) and the external validation sample (right panel) from the year 2012 (n = 12928). The numbers of patients in each decile (n) are given below the x-axis. Closed symbols (■) show observed mortality with 95% confidence intervals (CI) whereas open symbols (⦿) show predicted mortality. The PANDORA score has 7 indicator variables (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127316#pone.0127316.t002" target="_blank">Table 2</a>).</p

Distribution of variables for the development sample 2006–2009 and the validation sample 2012.

<p>* multiple answers possible</p><p>Distribution of variables for the development sample 2006–2009 and the validation sample 2012.</p

Flowchart of the selection process for inclusion in the PANDORA score development sample.

<p>Flowchart of the selection process for inclusion in the PANDORA score development sample.</p

Additional file 2: of Barriers to the conduct of randomised clinical trials within all disease areas

PRISMA 2009 checklist. (DOC 63 kb

Additional file 3: of Evidence-based practice within nutrition: what are the barriers for improving the evidence and how can they be dealt with?

Relevant references from the academic literature search. Results from the academic literature search are listed in the form of relevant publications. (DOCX 14 kb

MOESM1 of Potentially modifiable respiratory variables contributing to outcome in ICU patients without ARDS: a secondary analysis of PRoVENT

Additional file 1. List of PRoVENT network collaborators. Table S1 Univariable analysis of factors associated with in-hospital mortality in patients without ARDS receiving mechanical ventilation. Table S2 Analysis of factors associated with ICU mortality in patients without ARDS receiving mechanical ventilation. Table S3 Analysis of factors associated with ICU mortality in patients without ARDS receiving mechanical ventilation considering driving pressure in the model instead of maximum airway pressure. Table S4 Analysis of factors associated with in-hospital mortality in patients without ARDS receiving mechanical ventilation considering driving pressure in the model instead of maximum airway pressure. Table S5 Analysis of factors associated with in-hospital mortality in patients without ARDS receiving mechanical ventilation considering maximum airway pressure in the subset of 343 patients in whom driving pressure could be reliably measured. Table S6 Analysis of factors associated with ICU mortality in patients without ARDS receiving mechanical ventilation considering maximum airway pressure in the subset of 343 patients in whom driving pressure could be reliably measured. Figure S1 Odds ratio of ICU mortality according to increases in one standard deviation of Pmax and in the patients at risk and not at risk of ARDS