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Erschienen in: Critical Care 1/2017

Open Access 01.12.2017 | Research

A randomized trial of supplemental parenteral nutrition in underweight and overweight critically ill patients: the TOP-UP pilot trial

verfasst von: Paul E. Wischmeyer, Michel Hasselmann, Christine Kummerlen, Rosemary Kozar, Demetrios James Kutsogiannis, Constantine J. Karvellas, Beth Besecker, David K. Evans, Jean-Charles Preiser, Leah Gramlich, Khursheed Jeejeebhoy, Rupinder Dhaliwal, Xuran Jiang, Andrew G. Day, Daren K. Heyland

Erschienen in: Critical Care | Ausgabe 1/2017

Abstract

Background

Nutrition guidelines recommendations differ on the use of parenteral nutrition (PN), and existing clinical trial data are inconclusive. Our recent observational data show that amounts of energy/protein received early in the intensive care unit (ICU) affect patient mortality, particularly for inadequate nutrition intake in patients with body mass indices (BMIs) of <25 or >35. Thus, we hypothesized increased nutrition delivery via supplemental PN (SPN) + enteral nutrition (EN) to underweight and obese ICU patients would improve 60-day survival and quality of life (QoL) versus usual care (EN alone).

Methods

In this multicenter, randomized, controlled pilot trial completed in 11 centers across four countries, adult ICU patients with acute respiratory failure expected to require mechanical ventilation for >72 hours and with a BMI of <25 or ≥35 were randomized to receive EN alone or SPN + EN to reach 100% of their prescribed nutrition goal for 7 days after randomization. The primary aim of this pilot trial was to achieve a 30% improvement in nutrition delivery.

Results

In total, 125 patients were enrolled. Over the first 7 post-randomization ICU days, patients in the SPN + EN arm had a 26% increase in delivered calories and protein, whereas patients in the EN-alone arm had a 22% increase (both p < 0.001). Surgical ICU patients received poorer EN nutrition delivery and had a significantly greater increase in calorie and protein delivery when receiving SPN versus medical ICU patients. SPN proved feasible to deliver with our prescribed protocol. In this pilot trial, no significant outcome differences were observed between groups, including no difference in infection risk. Potential, although statistically insignificant, trends of reduced hospital mortality and improved discharge functional outcomes and QoL outcomes in the SPN + EN group versus the EN-alone group were observed.

Conclusions

Provision of SPN + EN significantly increased calorie/protein delivery over the first week of ICU residence versus EN alone. This was achieved with no increased infection risk. Given feasibility and consistent encouraging trends in hospital mortality, QoL, and functional endpoints, a full-scale trial of SPN powered to assess these clinical outcome endpoints in high-nutritional-risk ICU patients is indicated—potentially focusing on the more poorly EN-fed surgical ICU setting.

Trial registration

Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s13054-017-1736-8) contains supplementary material, which is available to authorized users.
A comment to this article is available at https://​doi.​org/​10.​1186/​s13054-017-1884-x.
Abkürzungen
BMI
Body mass index
EN
Enteral nutrition
ICU
Intensive care unit
PICS
Post-intensive care syndrome
PN
Parenteral nutrition
QoL
Quality of life
SF-36
36-Item Short Form Health Survey
SPN
Supplemental parenteral nutrition

Background

Worldwide, there is considerable controversy about the optimal amount and feeding route in critically ill patients [1]. Nutrition practice guidelines in Europe, Canada, and the United States endorse enteral nutrition (EN) for patients who are critically ill and hemodynamically stable [24]. To evaluate the success of EN delivery in the intensive care unit (ICU), a recent observational cohort study of nutrition practices in 167 ICUs across 21 countries was conducted to evaluate worldwide nutrition practices in 2772 patients [5]. Despite multiple international guidelines recommending early initiation of EN in the ICU [2, 3, 6], the data revealed practitioners are only successfully delivering approximately 50% of prescribed daily calories from EN over the first 12 days in the ICU [5]. In addition, in some developed countries like the United States, it takes an average of >60 hours to initiate EN [5].
Because of this consistent and longstanding failure to deliver prescribed EN, parenteral nutrition (PN) has been utilized in up to 35–70% [5] of critically ill patients. However, current guidelines do not agree on when to initiate PN in the ICU [1]. For patients who are intolerant to or have other contraindications to EN, European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines recommend initiating PN within 24–48 hours in patients not expected to receive full oral nutrition within 3 days, and initiating supplemental PN (SPN) if EN levels are not at goal in 48 hours [7]. New US (American Society for Parenteral and Enteral Nutrition [ASPEN]/Society of Critical Care Medicine [SCCM]) guidelines hesitate to recommend early PN in the ICU, with PN initiation advised only after 7 days in well-nourished patients [4]. Although, in patients found to be significantly malnourished via nutrition risk scores (i.e., Nutrition Risk in Critically Ill [NUTRIC] score [without IL-6] ≥5 or Nutrition Risk Score [NRS] ≥5) [8], total PN is recommended to start at ICU admission [4, 7].
Thus, current guidelines and even recent larger randomized trials are conflicting and do not provide clear guidance regarding the use of PN in the early phase of critical illness [1]. In our previous international, multicenter, observational study, we found a significant inverse linear relationship between the odds of mortality and total daily calories received [9]. Our key finding was that increased amounts of calories were associated with reduced mortality for the body mass index (BMI) <25 group and BMI >35 group, with no benefit of increased calorie intake for patients in the BMI 25– < 35 group. Independent of the route of delivery (either EN or PN), an additional 1000 kcals was associated with an almost 50% reduction of 60-day mortality in patients with a BMI of <25 or >35 [9]. These categories of patients have not been studied separately in large-scale prospective randomized controlled trials comparing two nutritional intake levels [1014].
Thus, we proposed a randomized trial of supplemental parenteral nutrition in underweight and overweight critically ill patients (the TOP-UP trial) as a multicenter study of critically ill underweight and obese patients with acute respiratory failure expected to require mechanical ventilation for >72 hours. In a future full trial, we proposed to address two questions: (1) the effect of SPN + EN compared with EN alone on 60-day mortality, and (2) the effect of early SPN protein and calorie intake on key quality-of-life (QoL) and functional outcomes. We estimated conservatively that a sample size of approximately 1000 patients/arm would be required to demonstrate a significant mortality effect, assuming an additional 1000 kcal/d would be associated with an approximately 29% relative risk reduction of mortality. (This was based on our pre-existing international nutrition survey data [9].) Prior to implementation of a large-scale definitive trial, we felt a multicenter pilot trial to evaluate the feasibility of a full trial was needed. The primary aim of the pilot trial reported herein was to ensure a clinically significant difference in calorie/protein intake (approximately 30% difference; or 600–1000 kcal/day and 20–30 g protein/day) between the two intervention groups was achievable. We also evaluated the feasibility of performing functional endpoints research in the ICU setting. All clinical endpoints proposed to be assessed in a future full trial were also collected and evaluated. We believe the results and experience gained from this multicenter pilot trial will allow for refinement and optimization of a full-scale multicenter trial to assess optimal methods for targeting SPN to nutritionally “at-risk” patients and inform current practice on the use of PN in the ICU.

Methods

This was an investigator-initiated, multicenter, randomized, controlled, pilot clinical study (ClinicalTrials.gov identifier NCT01206166). This trial was conducted between June 1, 2011, and January 20, 2015, in 11 ICUs in Canada, the United States, Belgium, and France. Local jurisdictional approval and institutional research ethics board approval was secured at each site, as described in declarations section below. Written informed consent was obtained from patients, family members, or their legal representatives before enrollment. Eligible patients were randomized within 72 hours of admission to the ICU. A centralized web-based randomization system at the Clinical Evaluation Research Unit (CERU) at Kingston General Hospital was used to randomly allocate patients to study groups. Randomization was stratified by site, presence of medical or surgical admission diagnosis, EN started before randomization, and BMI (<25 or >35). Patients were randomized in random block sizes of two, four, or eight within strata.

Trial participants

Consecutive mechanically ventilated adults admitted to participating ICUs were screened for eligibility. Critically ill adult patients (>18 years old) in the ICU were considered eligible for the study if they met the following criteria: (1) had acute respiratory failure (defined as expected to require mechanical ventilation >72 hours), (2) were receiving EN or were to be initiated on EN within 48 hours of ICU admission, and (3) had a BMI of <25 or >35, based on pre-ICU actual or estimated dry weight. Exclusions included the following: (1) >72 hours from ICU admission to consent, (2) not expected to survive an additional 48 hours from screening evaluation, (3) lack of commitment to full, aggressive care (anticipated withholding or withdrawing treatments in the first week, but isolated do-not-resuscitate order acceptable), (4) an absolute contraindication to EN deemed to require PN for the first 7 days of ICU admission (e.g., gastrointestinal obstruction or no gastrointestinal tract access for any reason), (5) already at goal rate of EN from screening evaluation (receiving ≥60% estimated needs and no evidence of intolerance [i.e., high gastric residual volumes, etc.]), (6) already receiving PN on admission to ICU, (7) admitted with diabetic ketoacidosis or nonketotic hyperosmolar coma, (8) pregnant or lactating, (9) clinical fulminant hepatic failure, (10) dedicated port of central line not available, (11) known allergy to study nutrients, and (12) enrollment in another industry-sponsored ICU intervention study (co-enrollment in academic studies were considered on a case-by-case basis).

Trial interventions

Patients were randomized to receive either EN (standard care) or SPN + EN. The type of enteral formula was selected by the individual treatment team following nutritional assessment. A standard polymeric solution with 1.2 ± 0.2 kcal/mL was used to standardize nutrition delivery. EN was initiated at 20 mL/hr and increased by 20 mL/hr increments every 4 hours as tolerated until the goal rate was reached. A bedside algorithm was developed to aid in initiating and progressing the EN rate.
In patients assigned to the SPN + EN group, all patients received SPN via central intravenous access and SPN administration began as soon as possible post-enrollment. We utilized a PN solution of similar caloric density to the standard EN solutions (1.2 kcals/mL, providing 0.06–0.09 g protein/mL). The PN solution utilized (OLIMEL N9, Baxter Inc., Deerfield, IL, USA) was a 1.1 kcal/mL solution—20% lipid (containing 80% olive oil and 20% soy oil), 27.5% glucose solution, and 14% amino acids. PN was initiated at 20 mL/hr and increased by 20 mL/hr increments every 4 hours as tolerated until 100% of goal calories were reached. The PN was adjusted daily to ensure that patients received 100% of their prescribed calories.
In both groups, the relative amount of PN and EN received was monitored. All patients were fed according to the Canadian Critical Care Nutrition 2003 clinical practice guidelines [2], which are updated online (www.​criticalcarenutr​ition.​com). Blood glucose, insulin dose, dextrose infusion rates, and electrolytes were monitored frequently, as clinically indicated (at minimum daily as per the study protocol), and neither EN nor PN was advanced if electrolytes, glucose, or phosphate was critically out of range to minimize and evaluate for refeeding-syndrome risk. EN or SPN + EN were continued for 7 days post-randomization or until death, whichever came first. In extubated patients, PN and/or EN was continued until >50% of caloric goals were tolerated by oral route. In the event that a patient was discharged from the ICU prior to day 7, PN could be continued in-hospital until the patient was tolerating adequate EN or oral nutrition. At the end of the study period, clinicians could prescribe PN using the study solution (OLIMEL N9) as clinically indicated in either group.

Nutrition prescription

Both the EN-only (control) and SPN + EN (study) groups received the exact same prescription for calories and protein (within each BMI stratum), with the study group receiving additional calories and protein via parenteral route. Upon enrollment, study dieticians calculated the protein and calorie needs of each patient. The proposed target dose of protein and energy based on BMI category is described in Table 1.
Table 1
Protein and energy provision: guidelines for dosing of protein and energy based on BMI category
 
Minimum energy
Minimum protein
BMI <25
25 kcals/kg actual wt
1.2 g/kg actual wt
BMI >35
20 kcals/kg ABW
1.2/kg ABW
Weights in obese patients calculated according to the following formula: obesity – adjusted body weight = IBW + [actual weight – IBW] x 0.25, where IBW is based on a BMI of 25
Abbreviations: ABW, adjusted body weights, BMI body mass index, IBW, ideal body weight

Outcomes

The primary dual outcome for this pilot trial was to achieve an increased calorie and protein delivery (by approximately 30%) in the SPN + EN group versus EN alone. We also analyzed calorie and protein delivery in patients with BMIs <25/>35 and in surgical ICU patients versus medical ICU patients, as our previous data indicated surgical ICU patients were more poorly fed than other ICU groups [15]. Secondary outcomes included testing the feasibility of implementing the SPN intervention, quality measures regarding protocol adherence, and success in intervention delivery. Additional outcomes included ICU, hospital, and 6-month mortality; development of infectious complications; and duration of mechanical ventilation, ICU stay, and hospital stay. In addition, functional indices were assessed, including admission and discharge Barthel Index, handgrip strength, and 6-minute walk test at discharge. At 3 and 6 months post-randomization, patients were contacted by telephone to record vital status and SF-36 (36-Item Short Form Health Survey) scores.

Subgroup analyses

We explored several pre-specified subgroups. Sicker patients with objectively defined high nutrition risk may benefit more from nutritional interventions (as defined by a NUTRIC score without IL-6 ≥ 5) [8]. Thus, patients with increased NUTRIC scores (≥5) versus lower scores were compared for ICU and hospital mortality. Further, as one admission BMI group (<25 or ≥35) may benefit more from nutrition interventions than the other, these two groups were also compared for ICU and hospital mortality.

Statistical analysis

The sample size for this pilot trial was targeted to assess the feasibility of an international study and provide adequate precision to estimate the difference of nutritional adequacy between groups. In particular, given the observed evaluable sample size (71 EN only and 49 SPN + EN) and standard deviation, the difference of all nutritional adequacy measures were estimated to within 10% with at least 95% certainty. The dual primary endpoint was the proportion of caloric and protein prescription received by EN or PN, including protein supplements but excluding propofol. This proportion is based only on days after the date of randomization and before the date of death or ICU discharge where oral feeding did not preclude the use of EN or PN. The proportions of caloric and protein prescriptions delivered were presented within groups by means and standard deviations and compared between groups by mean differences with 95% confidence intervals (CIs) and p values estimated by the two-sample t test for unequal variances. Averages over the first 7 days after randomization (primary) and 27 days after randomization (secondary) were presented.
ICU and hospital mortality are described within groups as counts and percentages and were compared between groups by the chi-squared test. Furthermore, hospital mortality was compared between groups overall and within subgroup by odds ratios (ORs) with 95% CIs. Median 6-month survival was estimated within group by the Kaplan-Meier method and compared between groups by the log-rank test.
All other continuous or ordinal variables were compared between groups by the rank-based Mann-Whitney U test. The handgrip and 6-minute walk tests were ranked as follows: died < unable < refused = 0 < other non-zero values, with patients whose assessment was missed being excluded. Barthel Index and SF-36 scores were based only on patients with values available, and thus excluded decedents and those lost to follow-up. Infection outcomes were presented by groups as counts and percentages, with patient-level summaries compared between groups by Fisher’s exact test.
With the exceptions of the aforementioned exclusions, patients were analyzed as randomized regardless of treatment compliance in accordance with the intent-to-treat principle. We did not attempt to impute unknown values or correct for multiplicity due to the primarily exploratory descriptive nature of this pilot feasibility study.

Results

Over a 44-month recruitment period, 730 patients were screened, of whom 304 met enrollment criteria and 125 were randomized (Fig. 1). Screening periods at sites varied; enrollment was capped after 20 patients to allow for other sites to contribute. Overall, the average enrollment rate per site was 0.8 patients/month (range 0.3–1.9). Characteristics at baseline were similar in both groups (Table 2). Quality measures regarding protocol adherence and success in intervention delivery are reported in Table 3. Overall, patients in the SPN + EN group were randomized and initiated on study PN rapidly after ICU admission and had a median study intervention duration of 5.9 days (range 2.4–7.6). In the SPN + EN group, 13 patients (25%) received <80% of goal calories/day at some point during their enrollment in trial, which was reported as a protocol violation (Table 4). The reasons for these episodes of <80% of goal calories being delivered during a given day are reported in Table 5. In total, 16 patients (30.8%) in the SPN + EN arm received <72 hours of study PN, and 3 of these patients never received SPN because their nutritional goal was reached early by EN alone.
Table 2
Patient demographics
Characteristic
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
Age, yrs
55.1 ± 16.2
55.8 ± 19.8
Sex
 Male
39 (53.4%)
21 (40.4%)
 Female
34 (46.6%)
31 (59.6%)
APACHE II score
20.8 ± 7.2
20.5 ± 6.4
Baseline SOFA score
5.9 ± 3.6
6.2 ± 3.5
NUTRIC score
3.8 ± 2.1
3.9 ± 1.9
Barthel Index baseline
88.1 ± 22.7
91.3 ± 11.7
BMI
33.2 ± 15.0
33.5 ± 14.9
BMI groups
  < 25
38 (52.1%)
27 (51.9%)
  > 35
35 (47.9%)
25 (48.1%)
Ethnicity
 White
65 (89.0%)
46 (88.5%)
 Black or African American
4 (5.5%)
2 (3.8%)
 Native Hawaiian or Pacific Islander
2 (2.7%)
0 (0.0%)
 Native
2 (2.7%)
0 (0.0%)
 Unknown/not reported
0 (0.0%)
4 (7.7%)
 Charlson Comorbidity Index
1.7 ± 1.9
1.3 ± 1.7
Type of admission
 Medical
43 (58.9%)
31 (59.6%)
 Surgical
30 (41.1%)
21 (40.4%)
Primary diagnosis
 Respiratory
24 (32.9%)
13 (25.0%)
 Sepsis
18 (24.7%)
15 (28.8%)
 Gastrointestinal
9 (12.3%)
6 (11.5%)
 Neurologic
9 (12.3%)
5 (9.6%)
 Other
4 (5.5%)
1 (1.9%)
 Trauma
3 (4.1%)
0 (0.0%)
 Metabolic
3 (4.1%)
0 (0.0%)
 Cardiovascular/vascular
3 (4.1%)
11 (21.2%)
 Hematologic
0 (0.0%)
1 (1.9%)
Continuous variables are reported as mean ± standard deviation, and categorical variables are reported as count (% of column total)
Abbreviations: APACHE II Acute Physiology and Chronic Health Evaluation II, BMI body mass index, EN enteral nutrition, NUTRIC Nutrition Risk in Critically Ill, SOFA Sequential Organ Failure Assessment, SPN supplemental parenteral nutrition
Table 3
Primary outcome: calorie and protein delivery
 
EN only (n = 71)
SPN + EN (OLIMEL) (n = 49)
Difference mean, % (95% CI)
p value
Evaluable days
11 ± 7
11 ± 8
0 (−2 to 3)
0.765
Evaluable days in first week
6 ± 2
6 ± 2
0 (−1 to 1)
0.992
Calorie prescription
1844 ± 420
1728 ± 444
−116 (−275 to 42)
0.149
Protein prescription
106 ± 30
100 ± 31
−6 (−17 to 6)
0.319
% of prescribed kcal/protein received
 EN only
  Calories first 27 days
70 ± 26
67 ± 25
−3 (−12 to 7)
0.551
  Calories first 7 days
68 ± 28
68 ± 27
−1 (−11 to 9)
0.905
  Protein first 27 days
66 ± 26
60 ± 23
−5 (−14 to 3)
0.231
  Protein in first 7 days
63 ± 26
61 ± 25
−3 (-12 to 7)
0.566
 PN + EN
  Calories first 27 days
72 ± 25
90 ± 16
18 (11 to 25)
<0.001
  Calories first 7 days
69 ± 28
95 ± 13
26 (18 to 34)
<0.001
  Protein first 27 days
68 ± 25
82 ± 19
13 (6 to 21)
<0.001
  Protein in first 7 days
64 ± 26
86 ± 16
22 (14 to 29)
<0.001
Values are means ± standard deviations, unless noted otherwise. P values and 95% CIs were calculated by the independent t test for unequal variance. Only days after the date of randomization and before date of ICU discharge or death are considered evaluable days. Days where oral feeding was indicated as the reason for not receiving EN or PN have also been excluded. Two patients randomized to the EN arm and three patients randomized to the SPN + EN arm had no evaluable days and are thus excluded from this analysis. All calories exclude propofol but include protein supplementation. PN includes both study PN and non-study PN
Abbreviations: CI confidence interval, EN enteral nutrition, PN parenteral nutrition, SPN supplemental parenteral nutrition
Table 4
Primary outcome quality measures: intervention
Variable
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
p value
Days from ICU admission to randomization
1.4 (0.8–2.0)
1.1 (0.7–1.8)
0.19
Hours from randomization to start of intervention (SPN + EN arm)
1.6 (0.6–4.9)
Duration of intervention, days (SPN + EN arm)
5.9 (2.4–7.6)
Protocol violation: <80% study PN (SPN + EN arm)
13 (25.0%)
Protocol violation: >120% study PN (SPN + EN arm)
2 (3.8%)
Other protocol violations and reasons
 Received non-study PN before 7 days
5 (6.8%)
0 (0.0%)
0.05
 Received non-study IV lipids before 7 days
1 (1.4%)
0 (0.0%)
0.40
 Received protein supplements before 7 days
1 (1.4%)
4 (7.7%)
0.08
 Received study PN before 7 days (EN-only arm)
2 (2.7%)
 Other (no further data provided)
1 (1.4%)
0 (0.0%)
0.40
Early deaths or drop-outsa (<72 hrs on protocol)
1 (1.4%)
10 (19.2%)
0.16
Data reported as median (Q1–Q3) or n (%). The Mann-Whitney U test was used for continuous variables, and the chi-square test was used for categorical variables
Abbreviations: EN enteral nutrition, ICU intensive care unit, IV intravenous, PN parenteral nutrition, SPN supplemental parenteral nutrition
aThis occurred in the PN group due to the following reasons: goal was reached by EN-alone group in 72 hours (n = 6), transitioned to oral feeds (n = 2), central line removed (n = 1), and fluid overload (n = 1)
Table 5
Reasons for protocol violation of patients receiving <80% volume in SPN + EN group)
Reason(s)
Counts
Nausea/emesis/patient too sick
30
Unknown/error
17
First or last day of EN, including withdrawal of care
16
No access/held for procedure
12
High gastric residuals
6
On oral feeds
6
Total episodes leading to <80% of volume in SPN + EN group
87
Abbreviation: EN enteral nutrition, SPN supplemental parenteral nutrition

Primary outcome: delivery of calories and protein

Three patients in the SPN + EN group and one patient in the EN-alone group were excluded from the analysis of nutrition delivery because they had no days after the date of randomization and before the date of ICU discharge or death where EN and PN were not precluded due to oral feeding (Fig. 1). Over the first 7 days after randomization, patients in the SPN + EN arm had increases in calorie and protein delivery of 26% and 22%, respectively, versus EN alone (both p < 0.001) (Table 3 and Fig. 2). Over the first 27 days after randomization, patients in the SPN + EN arm had increases in calories and protein delivery of 18% and 13%, respectively (both p < 0.001; Table 3 and Fig. 2). Surgical ICU patients had a significant increase in calorie and protein delivery versus medical ICU patients in the SPN + EN arm (38% vs. 18% and 35% vs. 13%, respectively) (p < 0.05) (Additional file 1: Table S1A and S1B). High BMI (>35) patients had a small increase of calorie and protein delivery versus low BMI (<25) patients (31% vs. 21% and 25 vs. 18%, respectively); however, these differences were not statistically significant. (Additional file 1: Table S2A and S2B).

Clinical outcomes

Although this pilot trial was not powered primarily for clinical outcomes, assessment of clinical outcome differences between groups was undertaken to help guide definitive trial design and assess for clinical signals justifying a larger definitive trial. No significant difference in major clinical outcomes between groups was observed (Table 6). This included no increased rate of suspected or newly acquired infections in the SPN + EN group versus the EN-alone group (Table 7). A somewhat lower hospital mortality was observed in the SPN + EN group versus the EN-alone group, although this was not statistically significant (OR 0.60, 95% CI 0.24–1.52; p = 0.28). Potential trends were observed for reduced hospital mortality in the SPN + EN group versus the EN-alone group in high-nutritional-risk patients (both NUTRIC ≥5 and in BMI <25; p = 0.19; Fig. 3. No apparent differences in mortality were observed in patients with a BMI ≥35 or NUTRIC score <5 (Fig. 3).
Table 6
Clinical outcomes
Variable
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
p value
Length of ventilation, days
8.3 (3.8–13.3)
6.5 (3.9–14.1)
0.78
ICU mortality
  
0.51
 Yes
13 (17.8%)
7 (13.5%)
 
 No, patient discharged
60 (82.2%)
45 (86.5%)
Length of stay in ICU among survivors, days
12.6 (8.1–18.7)
12.8 (7.9–17.8)
0.80
Hospital mortality
  
0.29
 Yes
17 (23.3%)
8 (15.4%)
 
 No, patient discharged
56 (76.7%)
43 (82.7%)
 No, patient still in hospital at 6 months
0 (0.0%)
1 (1.9%)
Length of stay in hospital among survivors, days
24.0 (16.6–38.9)
23.5 (17.5–34.7)
0.83
Time to discharge alive from hospital
33.0 (20.2, und)
32.5 (21.1, und)
0.87
Kaplan-Meier 6-month mortality estimatea
27.5%
29.5%
0.86
Data reported as median (Q1–Q3) or n (%). The Mann-Whitney U test was used for continuous variables, and the chi-square test was used for categorical variables. Survival analysis was used for comparison of time to discharge alive from hospital
Abbreviations: EN enteral nutrition, ICU intensive care unit, SPN supplemental parenteral nutrition, und undefined due to <75% reaching upper quartile
aThe Kaplan-Meier estimate censors patients at the last known date alive. Altogether, 19 deaths were observed in the EN-alone arm, compared with 14 deaths in the SPN + EN arm. The median follow-up time among patients where death was not observed was 175 days in the EN-alone arm and 167 days in the SPN + PN arm
Table 7
Infection outcomes
Variable
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
p value
Number of patients with a suspected infection
33/73 (45.2%)
26/52 (50.0%)
0.72
Total number of suspected infections
83
78
 
Average suspected infections per patient, ± SD
1.7 ± 2.6
1.9 ± 2.6
0.62
Number of patients with newly acquired infection
23/73 (31.5%)
14/52 (26.9%)
0.69
Total number of newly acquired infections
46
38
 
Adjudicationa
 Definite
30 (65.2%)
18 (47.4%)
 
 Possible
1 (2.2%)
2 (5.3%)
 Probable
15 (32.6%)
18 (47.4%)
Type of newly acquired infectiona
 Surgical deep
0 (0.0%)
1 (2.6%)
 
 Skin/soft tissue
3 (6.5%)
0 (0.0%)
 Catheter BSI
0 (0.0%)
7 (18.4%)
 Primary BSI
1 (2.2%)
0 (0.0%)
 Lower UTI
2 (4.3%)
5 (13.2%)
 Upper UTI
0 (0.0%)
1 (2.6%)
 Intra-abdominal
0 (0.0%)
4 (10.5%)
 Lower RTI
17 (37.0%)
5 (13.2%)
 ICU pneumonia
18 (39.1%)
12 (31.6%)
 Other
5 (10.9%)
3 (7.9%)
Organism typesb
27
19
 
 Bacteria
24 (88.9%)
14 (73.7%)
 
 Fungi/yeast
2 (7.4%)
5 (26.3%)
 Virus
1 (3.7%)
0 (0.0%)
Mean ± SD reported for continuous variables. Count (%) reported for categorical variables. Number of suspected and newly acquired infections was compared using the Fisher’s exact test, and the average number of infections per patient was compared using the Mann-Whitney U test
Abbreviations: BSI bloodstream infection, EN enteral nutrition, ICU intensive care unit, RTI respiratory tract infection, SD standard deviation, SPN supplemental parenteral nutrition, UTI urinary tract infection
aThe denominator is the total number of newly acquired infections
bThe denominator is the total number of newly acquired infections with organisms detected

Functional and quality-of-life outcomes

Overall trends to improved hospital discharge handgrip strength (p = 0.14) and 6-minute walk test score (p = 0.2) were observed in SPN + EN group versus the EN-alone group (Table 8). A potential non-significant tendency to improved handgrip strength at ICU discharge in the SPN + EN group was also observed (p = 0.21). Trends to improved hospital discharge Barthel Index (p = 0.08) was also observed. Although inconsistent at 3 months, by 6 months the change in SF-36 was consistently (but not significantly) better in the SPN + EN group versus the EN-alone group. Challenges in collection of functional endpoints (Table 9) were observed; in most cases this was due to the patient being too debilitated or ill to perform the test. For example, in collecting data for the 6-minute walk test, a significant number of patients could not perform the test due to death (20%) or, more commonly, due to severity of impairment from their critical illness (40%).
Table 8
Functional and quality-of-life outcomes
Variable
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
p-value
Handgrip at ICU discharge
Unable (62) [unable–18]
9 (43) [unable–25]
0.21
Handgrip at hospital discharge
Unable (56) [unable–20]
12 (36) [unable–33]
0.14
6-minute walk test at hospital discharge
Unable (60) [unable–unable]
Unable (40) [unable–0]
0.20
Barthel Index hospital discharge
46.5 ± 32.1 (41)
61.1 ± 32.4 (28)
0.08
SF-36 3 months
 Physical functioning
39.4 ± 34.3 (30, 55%)
34.8 ± 31.5 (24, 63%)
0.76
 Role-physical
30.2 ± 31.8 (30, 55%)
32.8 ± 32.6 (25, 66%)
0.59
 Pain index
59.1 ± 28.8 (28, 52%)
66.4 ± 27.3 (24, 63%)
0.44
 General health perceptions
61.2 ± 18.3 (27, 50%)
49.5 ± 24.3 (24, 63%)
0.14
 Vitality
52.8 ± 21.4 (28, 52%)
51.0 ± 21.7 (24, 63%)
0.72
 Social functioning
60.4 ± 31.8 (30, 55%)
56.5 ± 28.2 (25, 66%)
0.56
 Role-emotional
63.2 ± 34.6 (29, 54%)
65.3 ± 34.4 (25, 63%)
0.88
 Mental health index
72.9 ± 18.7 (28, 52%)
76.1 ± 18.5 (23, 61%)
0.39
 Standardized physical component scale
35.3 ± 10.8 (27, 50%)
33.3 ± 10.1 (22, 58%)
0.38
 Standardized mental component scale
50.0 ± 10.5 (27, 50%)
51.5 ± 10.0 (22, 58%)
0.38
SF-36 6 months
 Physical functioning
39.3 ± 34.0 (31, 57%)
50.8 ± 36.5 (20, 53%)
0.21
 Role-physical
40.2 ± 33.1 (32, 59%)
47.5 ± 33.4 (20, 53%)
0.43
 Pain index
52.5 ± 31.0 (31, 57%)
68.6 ± 28.2 (20, 53%)
0.08
 General health perceptions
50.9 ± 20.6 (31, 57%)
56.8 ± 26.2 (20, 53%)
0.46
 Vitality
47.8 ± 21.2 (31, 57%)
59.1 ± 21.7 (20, 53%)
0.06
 Social functioning
50.4 ± 32.2 (31, 57%)
68.8 ± 32.6 (20, 53%)
0.06
 Role-emotional
52.2 ± 41.0 (32, 59%)
72.1 ± 30.3 (20, 53%)
0.10
 Mental health index
66.1 ± 22.5 (31, 57%)
70.5 ± 24.9 (20, 53%)
0.36
 Standardized physical component scale
35.8 ± 11.2 (30, 55%)
39.3 ± 10.2 (20, 53%)
0.17
 Standardized mental component scale
43.2 ± 14.8 (30, 55%)
49.0 ± 13.5 (20, 53%)
0.11
Handgrip strength and 6-minute walk test data using rank-based analysis: Values reported as n (%) or n (median) [Q1–Q3]. (n = observations collected). Values that were missed or have an unknown reason for not being done are excluded. The remaining values are ranked as died < unable < refused = 0 < other non-zero values. The p values are calculated by the rank-based Wilcoxon rank-sum tests. Barthel Index and SF-36 data: ranges for Barthel Index and SF-36 are 0–100, with 100 as the best score. Mean ± SD (n = observations collected, % of possible measures that could be obtained after subtracting out deaths prior to measurement time point) was reported for continuous variables. The Mann-Whitney U test was used for comparisons
Abbreviations: EN enteral nutrition, ICU intensive care unit, SF-36 36-Item Short Form Health Survey, SPN supplemental parenteral nutrition
Table 9
Functional outcomes compliance: handgrip strength and 6-minute walk test
Variable
EN only (n = 73)
SPN + EN (OLIMEL) (n = 52)
p value
Handgrip at ICU discharge
 Patient died
13 (17.8%)
7 (13.5%)
 
 Unable to do
18 (24.7%)
9 (17.3%)
 Refused to do
2 (2.7%)
3 (5.8%)
 Done
29 (39.7%)
24 (46.2%)
 Missed
9 (12.3%)
6 (11.5%)
 Unknown reason
2 (2.7%)
3 (5.8%)
Handgrip at hospital discharge
 Patient died
17 (23.3%)
8 (15.4%)
 
 Unable to do
12 (16.4%)
5 (9.6%)
 Refused to do
3 (4.1%)
3 (5.8%)
 Done
22 (30.1%)
17 (32.7%)
 Missed
16 (21.9%)
12 (23.1%)
 Unknown reason
1 (1.4%)
4 (7.7%)
 Use ICU
2 (2.7%)
3 (5.8%)
6-minute walk test at hospital discharge
 Patient died
17 (23.3%)
8 (15.4%)
 
 Unable to do
31 (42.5%)
20 (38.5%)
 Refused to do
3 (4.1%)
3 (5.8%)
 Done
9 (12.3%)
9 (17.3%)
 Missed
12 (16.4%)
9 (17.3%)
 Unknown reason
1 (1.4%)
3 (5.8%)
Walked on or any day prior to ICU discharge
16 (21.9%)
11 (21.2%)
0.92
Values reported as n (%)
Abbreviations: EN enteral nutrition, ICU intensive care unit, SPN supplemental parenteral nutrition

Discussion

In this pilot trial of SPN + EN versus EN alone, we found SPN + EN significantly increased calorie/protein delivery over the first ICU week, nearly achieving the targeted 30% increase in caloric delivery. SPN + EN proved feasible to deliver with our prescribed protocol. As expected in this pilot trial, which was not powered for clinical outcomes, no significant outcome differences, including no difference in infection risk between groups, were observed. However consistent encouraging trends in hospital/ICU mortality, QoL, and functional endpoints in the SPN + EN group were observed. Signals of reduced mortality in the NUTRIC ≥5 and BMI <25 subgroups also indicate that SPN + EN may have a particular benefit in higher-nutritional-risk, lower-BMI patients.
Enrollment of critically ill patients meeting the BMI <25 or >35 criterion proved challenging. As the average BMI in recent North American and even European ICU nutrition trials has ranged from 26.5–30.1 [11, 16, 17], a limited number of patients were ultimately eligible for screening. As a result of funding constraints and eligibility challenges, enrollment was constrained to 125 total patients. Further, we block-randomized patients, stratifying by site, medical/surgical diagnosis, BMI, and baseline use of EN. Since the study had several small sites and a large number of strata (eight within each site), there was a high proportion of incomplete blocks, which undermined the effectiveness of the stratification and allowed for a large overall imbalance in the number of patients randomized to each arm. This increases the variance of the between-arm comparisons by 3%, compared with if we had the same number in both arms (see Hsieh et al. for the VIF formula of (k + 1)^2/(4 k) where k = 73/52) [18]. Or, stated another way, this imbalance results in a study with the same power and precision as a study with a total sample size that is 3% smaller but has even numbers in each arm. Thus, this imbalance may have caused a minimal reduction in power but does not meaningfully or statistically bias the estimates or interfere with results. Although this would be less of an issue for a much larger trial, it may be worth considering reducing the number of strata or using an alternative balancing method such as minimization [19]. Another limitation of this study is that all calorie prescriptions were determined using weight-based formulas. Compared with indirect calorimetry-determined nutrition targets, these prescriptions may lead to a greater risk of over- or under-feeding actual caloric need [20]. In the future, we hope for improved metabolic cart availability to allow for improved guidance of feeding targets in the ICU.
Compliance with pre-discharge and post-discharge functional and QoL measures proved challenging to collect in all patients. For the functional tests, this was most often due to patients’ inability to complete testing due to death or significant disability following ICU stay. For example, 60% of patients could not complete the hospital discharge 6-minute walk test due to either an inability to walk (40%) or death (20%). The rank-based analytic approach allowed the inclusion of decedents and patients too ill to perform functional testing. This challenge in obtaining functional outcomes post-ICU stay has been observed in similar trials, such as the EPaNIC trial, where only approximately 26% of enrolled patients were able to complete or provide data at the ICU discharge 6-minute walk test [10]. The ability for patients to complete functional endpoints and rigorous follow-up for QoL outcomes requires careful consideration when designing future trials. Collection of functional outcomes continues to be a challenge for ICU trials with many patients who are too debilitated to perform many of the functional outcome measures.
Another key issue in ICU pilot trials regarding compliance with new, more complex study procedures (such as handgrip strength and 6-minute walk testing) is that other critical care trials have demonstrated that enrollment of the first one to three patients in each site is effectively a “run-in period” that can be fraught with complexity [21, 22]. These data would indicate that after the second patient is randomized, site protocol violations decrease and treatment effect tends to increase (i.e., becomes more stable toward the true estimate of treatment effect). Thus, in a larger definitive trial, compliance may improve with larger patient numbers enrolled at each site, producing more complex functional and lean body mass outcomes.
Strengths of this study include that we were able to demonstrate a significant separation in the amount of delivered calories and protein between groups with early SPN, particularly in surgical ICU patients. Other key findings include that early SPN did not contribute to any increased risk of infection, as has been hypothesized by past trials [23]. Another strength is the utilization of a more modern, non-pure-soy-oil-based lipid formulation, which may have contributed to the lack of infection risk from SPN in this trial. Recent meta-analyses have shown that lipid formulations reducing soy-based lipid delivery via use of non-pure-soy-oil formulations have lower rates of infection in ICU patients [24].
A key goal of this trial was to attempt to identify a “high nutritional risk” group of ICU patients to target the use of more complex PN delivery and assess the potential benefits of SPN + EN given poor EN delivery worldwide. In this pilot study, encouraging trends toward reduced ICU and hospital mortality were observed only in the BMI <25 subgroup of the SPN + EN arm, and no trend was observed in the BMI >35 subgroup. Thus, it is possible that this strategy of early SPN delivery may have greatest efficacy in patients with lower BMIs and who may have the lowest lean body mass reserve. As neither BMI group was powered to meaningfully look at clinical outcomes, both BMI subgroups should be considered targets of future research and will require further study. In addition, subgroup analysis revealed that patients with the highest ICU admission nutrition risk, as defined by a NUTRIC score of ≥5, appeared to show the largest trend to benefit from SPN. As such, we believe that the future full TOP-UP trial should focus enrollment on patients with a NUTRIC score ≥5 to target, or personalize, early SPN therapy for patients most likely to benefit. Thus, we may have further learned that BMI is not the ideal indicator of nutrition risk in the ICU, but perhaps the NUTRIC score has promise as a better objective measure of nutritional risk [8, 25].
Additionally, a significantly greater increase in calorie delivery was achieved by SPN + EN over EN alone in the surgical ICU patients versus medical ICU patients. As has been previously described [15], surgical ICU patients in our study had a much poorer delivery of baseline EN than the medical ICU patients. Further, the targeted greater than 30% increase in calorie delivery by SPN was also able to be achieved in the surgical ICU group. It is possible these data suggest that a future SPN trial may also be optimally focused on a high-nutritional-risk surgical ICU group, as these patients demonstrate a greater deficit in EN calorie and protein delivery and thus may be more likely to benefit from additional SPN delivery.
Finally, over the last 10 years we have begun to reduce in-hospital mortality following severe sepsis in some countries worldwide [26]. However, the same data also reveal that we have tripled the number of patients going to rehabilitation settings [26]. We also know that up to 40% of mortality within the first year of ICU stay occurs after ICU discharge [27], often due to post-intensive care syndrome (PICS). As a result, many leading experts are calling for future ICU trials to not focus on mortality as the primary endpoint, but rather to focus on QoL [26]. As such, we strived to introduce functional and key QoL indicators in our outcomes, particularly as early protein/calorie delivery may be key in optimizing post-ICU lean body mass and QoL. Our pilot data reveal consistent trends in improvement of functional and QoL endpoints in the SPN + EN group versus EN alone. In particular, trends to improved hospital discharge handgrip strength, 6-minute walk test, Barthel Index, and SF-36 scores were observed in the SPN + EN group versus EN alone. This included a significant improvement in the vitality subscore at 6 months (p = 0.05). Overall, these data are consistent in the direction of benefit for functional and QoL outcomes in patients receiving early SPN, and we believe this deserves further study in the larger TOP-UP trial. Further, given the consistent signal seen in functional and QoL outcomes, we would propose considering a QoL or functional outcome be the primary outcome of a future full-scale SPN trial. For, as many have said, the epidemic of PICS is one that we must address with targeted trials as soon as possible [26, 28].

Conclusions

This pilot trial was undertaken to answer key questions on the feasibility of conducting a multinational, multicenter trial of SPN in low- and high-BMI patients, based on the concept that these patients would most likely benefit from additional calorie and protein delivery in the first week of ICU care. Additionally, compliance and patient ability to complete functional and QoL testing needed to be evaluated. Our data show that the provision of SPN + EN versus EN alone significantly increased calorie/protein delivery over the first ICU week versus EN alone. Further, consistent encouraging trends in hospital mortality, ICU mortality, and QoL and functional endpoints (with no increased infection risk from PN) indicates a full-scale trial of SPN in high-nutritional-risk ICU patients focused on those with a NUTRIC score ≥5 regardless of BMI is indicated and has the potential to change practice by clarifying an objective measure of malnutrition to guide optimal use of SPN. It may also be optimal to focus a future trial in the more poorly EN-fed surgical ICU setting. Assuming we can carefully select sites and address patient ability to complete follow-up functional and QoL data, we propose that this future trial focus on a functional and/or QoL endpoint rather than mortality as its primary outcome.

Acknowledgements

The authors wish to thank Michael Plisco, Grant Bochiccio, Daniel Stollery, Bob Martindale, and Rekha Lakshmanan for their assistance in enrolling patients. In addition, we want to thank Stéphane Hecketsweiler, Denise Hinds, Patrica Thompson, Nadia Baig, Elizabeth Luzier, Angela Almagro, Luke Herren, Janice Drake, Chinedu Njoku, Thomas Wojda, Dominique Durand, Véronique Baudewyns, Pierre Léonard, Catherine Krause, Catherine Hubert, Corinne Merrill, Carie Kennedy, Jennifer Barchard, Charlie Borzy, Cathy Alberda, Miranda Wong, Adela Delgado, Michelle Booth, Beth Taylor, and Gail Cresci for their assistance in conducting this study. We would also like to thank Stephen O’Keefe (Chair), Lauren Griffith, and Stanley J. Dudrick for their services provided on the Data Monitoring Committee.

Funding

The National Institutes of Health, NHLBI R34 HL109369. The Royal Alexandra Hospital Foundation, Edmonton, AB, Canada. Parenteral nutrition solutions and funding for assistance with distribution from Baxter Inc.

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Authors’ contributions

PEW contributed to study conception and design, writing of initial funding grant, conduct of trial, co-primary investigator role, patient enrollment, manuscript writing and editing. RK and DJK contributed to patient enrollment, site investigator role, manuscript writing/editing and review. MH, CK, CLK, BB, DKE, and JCP contributed to patient enrollment, site investigator role, and manuscript review. LG contributed to study and trial conception/design, patient enrollment, site investigator role, and manuscript review. KJ contributed to study and trial conception/design, and manuscript review. RD contributed to study and trial conception/design, study coordination, conduct of trial, and manuscript review. XJ contributed to statistical and data analysis, manuscript writing/editing and review. AGD contributed to study and trial conception/design, statistical and data analysis, manuscript writing/editing and review. DKH contributed to study conception and design, writing of initial funding grant, conduct of trial, co-primary investigator role, study coordination, manuscript writing and editing. All authors read and approved the final manuscript.

Competing interests

PEW: receives research grants from National Institutes for Health (this work supported by National Heart Lung and Blood Institute [NHLBI] R34 HL109369), Canadian Institutes for Health Research, and American Burn Association; receives research grants, speaker honoraria for CME activity, and is a consultant for Fresenius Inc., Abbott Inc., and is a consultant and received research grants from Baxter Inc.; has received research grants from Lyric Pharmaceuticals, and Medtronics Inc.; has served as a consultant for Nestle.
DJK: consulting honoraria and research grant from Baxter.
JCP: consultancy, honoraria for talks from Baxter, Fresenius, Nestlé, and Nutricia. Prof Preiser is an Associate Editor for Critical Care.
DKE: speaking and consulting honoraria, research grant from Abbott Nutrition; consulting honoraria, research grant from Lyric; research grant from Baxter; and consultant honoraria from Coram/CVS Home Infusion.
DKH: speaker honorarium and research grant support from Baxter, Nestle and Abbott.
Not applicable.
Local jurisdictional approval and institutional research ethics board approval was secured at each site. Written informed consent was obtained from patients, family members, or their legal representatives before enrollment. The ethics boards approving the study included: The University of Colorado Multiple Institutions Review Board (COMIRB) at University of Colorado; Health Sciences Research Ethics Board (HSREB) at Queen’s University, Kingston, ON, Canada; The Health Research Ethics Board (HREB) at University of Alberta with additional approval from the Covenant Health Research Centre, University of Texas Health Science Center at Houston Committee for the Protection of Human Subjects; Ethics Committee, Hospital Erasme, Brussels, Belgium; The Ohio State University Biomedical Institutional Review Board; and The Comité de Protection des Personnes EST IV and the ANSM (Agence Nationale de Sécurité du Médicament et des Produits de Santé) at Hôpitaux Universitaires in Strasbourg, France.

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Literatur
1.
Zurück zum Zitat Preiser JC, van Zanten AR, Berger MM, Biolo G, Casaer MP, Doig GS, et al. Metabolic and nutritional support of critically ill patients: consensus and controversies. Crit Care. 2015;19:35.CrossRefPubMedPubMedCentral Preiser JC, van Zanten AR, Berger MM, Biolo G, Casaer MP, Doig GS, et al. Metabolic and nutritional support of critically ill patients: consensus and controversies. Crit Care. 2015;19:35.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Heyland DK, Dhaliwal R, Drover JW, Gramlich L, Dodek P, Canadian Critical Care Clinical Practice Guidelines Committee. Canadian clinical practice guidelines for nutrition support in mechanically ventilated, critically ill adult patients. JPEN J Parenter Enteral Nutr. 2003;27:355–3.CrossRefPubMed Heyland DK, Dhaliwal R, Drover JW, Gramlich L, Dodek P, Canadian Critical Care Clinical Practice Guidelines Committee. Canadian clinical practice guidelines for nutrition support in mechanically ventilated, critically ill adult patients. JPEN J Parenter Enteral Nutr. 2003;27:355–3.CrossRefPubMed
3.
Zurück zum Zitat Kreymann KG, Berger MM, Deutz NE, Hiesmayr M, Jolliet P, Kazandjiev G, et al. ESPEN Guidelines on Enteral Nutrition: Intensive care. Clin Nutr. 2006;25:210–23.CrossRefPubMed Kreymann KG, Berger MM, Deutz NE, Hiesmayr M, Jolliet P, Kazandjiev G, et al. ESPEN Guidelines on Enteral Nutrition: Intensive care. Clin Nutr. 2006;25:210–23.CrossRefPubMed
4.
Zurück zum Zitat McClave SA, Martindale RG, Vanek VW, McCarthy M, Roberts P, Taylor B, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN J Parenter Enteral Nutr. 2009;33:277–316.CrossRefPubMed McClave SA, Martindale RG, Vanek VW, McCarthy M, Roberts P, Taylor B, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN J Parenter Enteral Nutr. 2009;33:277–316.CrossRefPubMed
5.
Zurück zum Zitat Cahill NE, Dhaliwal R, Day AG, Jiang X, Heyland DK. Nutrition therapy in the critical care setting: what is “best achievable” practice? An international multicenter observational study. Crit Care Med. 2010;38:395–401.CrossRefPubMed Cahill NE, Dhaliwal R, Day AG, Jiang X, Heyland DK. Nutrition therapy in the critical care setting: what is “best achievable” practice? An international multicenter observational study. Crit Care Med. 2010;38:395–401.CrossRefPubMed
6.
Zurück zum Zitat Taylor BE, McClave SA, Martindale RG, Warren MM, Johnson DR, Braunschweig C, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). Crit Care Med. 2016;44:390–438.CrossRefPubMed Taylor BE, McClave SA, Martindale RG, Warren MM, Johnson DR, Braunschweig C, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). Crit Care Med. 2016;44:390–438.CrossRefPubMed
7.
Zurück zum Zitat Singer P, Berger MM, Van den Berghe G, Biolo G, Calder P, Forbes A, et al. ESPEN Guidelines on Parenteral Nutrition: intensive care. Clin Nutr. 2009;28:387–400.CrossRefPubMed Singer P, Berger MM, Van den Berghe G, Biolo G, Calder P, Forbes A, et al. ESPEN Guidelines on Parenteral Nutrition: intensive care. Clin Nutr. 2009;28:387–400.CrossRefPubMed
8.
Zurück zum Zitat Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15:R268.CrossRefPubMedPubMedCentral Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15:R268.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Alberda C, Gramlich L, Jones N, Jeejeebhoy K, Day AG, Dhaliwal R, et al. The relationship between nutritional intake and clinical outcomes in critically ill patients: results of an international multicenter observational study. Intensive Care Med. 2009;35:1728–37.CrossRefPubMed Alberda C, Gramlich L, Jones N, Jeejeebhoy K, Day AG, Dhaliwal R, et al. The relationship between nutritional intake and clinical outcomes in critically ill patients: results of an international multicenter observational study. Intensive Care Med. 2009;35:1728–37.CrossRefPubMed
10.
Zurück zum Zitat Casaer MP, Mesotten D, Hermans G, Wouters PJ, Schetz M, Meyfroidt G, et al. Early versus late parenteral nutrition in critically ill adults. N Engl J Med. 2011;365:506–17.CrossRefPubMed Casaer MP, Mesotten D, Hermans G, Wouters PJ, Schetz M, Meyfroidt G, et al. Early versus late parenteral nutrition in critically ill adults. N Engl J Med. 2011;365:506–17.CrossRefPubMed
11.
Zurück zum Zitat National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network, Rice TW, Wheeler AP, Thompson BT, Steingrub J, Hite RD, et al. Initial trophic vs full enteral feeding in patients with acute lung injury: the EDEN randomized trial. JAMA. 2012;307:795–803.CrossRef National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network, Rice TW, Wheeler AP, Thompson BT, Steingrub J, Hite RD, et al. Initial trophic vs full enteral feeding in patients with acute lung injury: the EDEN randomized trial. JAMA. 2012;307:795–803.CrossRef
12.
Zurück zum Zitat Doig GS, Simpson F, Sweetman EA, Finger SR, Cooper DJ, Heighes PT, et al. Early parenteral nutrition in critically ill patients with short-term relative contraindications to early enteral nutrition: a randomized controlled trial. JAMA. 2013;309:2130–8.CrossRefPubMed Doig GS, Simpson F, Sweetman EA, Finger SR, Cooper DJ, Heighes PT, et al. Early parenteral nutrition in critically ill patients with short-term relative contraindications to early enteral nutrition: a randomized controlled trial. JAMA. 2013;309:2130–8.CrossRefPubMed
13.
Zurück zum Zitat Heidegger CP, Berger MM, Graf S, Zingg W, Damon P, Costanza MC, et al. Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: a randomised controlled clinical trial. Lancet. 2013;381:385–93.CrossRefPubMed Heidegger CP, Berger MM, Graf S, Zingg W, Damon P, Costanza MC, et al. Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: a randomised controlled clinical trial. Lancet. 2013;381:385–93.CrossRefPubMed
14.
Zurück zum Zitat Harvey SE, Parrott F, Harrison DA, Bear DE, Segaran E, Beale R, et al. Trial of the route of early nutritional support in critically ill adults. N Engl J Med. 2014;371:1673–84.CrossRefPubMed Harvey SE, Parrott F, Harrison DA, Bear DE, Segaran E, Beale R, et al. Trial of the route of early nutritional support in critically ill adults. N Engl J Med. 2014;371:1673–84.CrossRefPubMed
15.
Zurück zum Zitat Drover JW, Cahill NE, Kutsogiannis J, Pagliarello G, Wischmeyer P, Wang M, et al. Nutrition therapy for the critically ill surgical patient: we need to do better! JPEN J Parenter Enteral Nutr. 2010;34:644–52.CrossRefPubMed Drover JW, Cahill NE, Kutsogiannis J, Pagliarello G, Wischmeyer P, Wang M, et al. Nutrition therapy for the critically ill surgical patient: we need to do better! JPEN J Parenter Enteral Nutr. 2010;34:644–52.CrossRefPubMed
16.
Zurück zum Zitat Harvey MA. The truth about consequences--post-intensive care syndrome in intensive care unit survivors and their families. Crit Care Med. 2012;40:2506–7.CrossRefPubMed Harvey MA. The truth about consequences--post-intensive care syndrome in intensive care unit survivors and their families. Crit Care Med. 2012;40:2506–7.CrossRefPubMed
17.
Zurück zum Zitat Heyland D, Wischmeyer PE, Day AG. Canadian Clinical Care Trials Group. Glutamine and antioxidants in critically ill patients. N Engl J Med. 2013;369:484–5.PubMed Heyland D, Wischmeyer PE, Day AG. Canadian Clinical Care Trials Group. Glutamine and antioxidants in critically ill patients. N Engl J Med. 2013;369:484–5.PubMed
18.
Zurück zum Zitat Hsieh FY, Lavori PW, Cohen HJ, Feussner JR. An overview of variance inflation factors for sample-size calculation. Eval Health Prof. 2003;26:239–57.CrossRefPubMed Hsieh FY, Lavori PW, Cohen HJ, Feussner JR. An overview of variance inflation factors for sample-size calculation. Eval Health Prof. 2003;26:239–57.CrossRefPubMed
19.
Zurück zum Zitat Scott NW, McPherson GC, Ramsay CR, Campbell MK. The method of minimization for allocation to clinical trials. a review. Control Clin Trials. 2002;23:662–74.CrossRefPubMed Scott NW, McPherson GC, Ramsay CR, Campbell MK. The method of minimization for allocation to clinical trials. a review. Control Clin Trials. 2002;23:662–74.CrossRefPubMed
20.
Zurück zum Zitat Zusman O, Theilla M, Cohen J, Kagan I, Bendavid I, Singer P. Resting energy expenditure, calorie and protein consumption in critically ill patients: a retrospective cohort study. Crit Care. 2016;20:367.CrossRefPubMedPubMedCentral Zusman O, Theilla M, Cohen J, Kagan I, Bendavid I, Singer P. Resting energy expenditure, calorie and protein consumption in critically ill patients: a retrospective cohort study. Crit Care. 2016;20:367.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Laterre PF, Macias WL, Janes J, Williams MD, Nelson DR, Girbes AR. Influence of enrollment sequence effect on observed outcomes in the ADDRESS and PROWESS studies of drotrecogin alfa (activated) in patients with severe sepsis. Crit Care. 2008;12:R117.CrossRefPubMedPubMedCentral Laterre PF, Macias WL, Janes J, Williams MD, Nelson DR, Girbes AR. Influence of enrollment sequence effect on observed outcomes in the ADDRESS and PROWESS studies of drotrecogin alfa (activated) in patients with severe sepsis. Crit Care. 2008;12:R117.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Macias WL, Vallet B, Bernard GR, Vincent JL, Laterre PF, Nelson DR, et al. Sources of variability on the estimate of treatment effect in the PROWESS trial: implications for the design and conduct of future studies in severe sepsis. Crit Care Med. 2004;32:2385–91.CrossRefPubMed Macias WL, Vallet B, Bernard GR, Vincent JL, Laterre PF, Nelson DR, et al. Sources of variability on the estimate of treatment effect in the PROWESS trial: implications for the design and conduct of future studies in severe sepsis. Crit Care Med. 2004;32:2385–91.CrossRefPubMed
23.
Zurück zum Zitat Elke G, van Zanten AR, Lemieux M, McCall M, Jeejeebhoy KN, Kott M, et al. Enteral versus parenteral nutrition in critically ill patients: an updated systematic review and meta-analysis of randomized controlled trials. Crit Care. 2016;20:117.CrossRefPubMedPubMedCentral Elke G, van Zanten AR, Lemieux M, McCall M, Jeejeebhoy KN, Kott M, et al. Enteral versus parenteral nutrition in critically ill patients: an updated systematic review and meta-analysis of randomized controlled trials. Crit Care. 2016;20:117.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Manzanares W, Langlois PL, Dhaliwal R, Lemieux M, Heyland DK. Intravenous fish oil lipid emulsions in critically ill patients: an updated systematic review and meta-analysis. Crit Care. 2015;19:167.CrossRefPubMedPubMedCentral Manzanares W, Langlois PL, Dhaliwal R, Lemieux M, Heyland DK. Intravenous fish oil lipid emulsions in critically ill patients: an updated systematic review and meta-analysis. Crit Care. 2015;19:167.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35:158–62.CrossRefPubMed Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35:158–62.CrossRefPubMed
26.
Zurück zum Zitat Kaukonen KM, Bailey M, Suzuki S, Pilcher D, Bellomo R. Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. JAMA. 2014;311:1308–16.CrossRefPubMed Kaukonen KM, Bailey M, Suzuki S, Pilcher D, Bellomo R. Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. JAMA. 2014;311:1308–16.CrossRefPubMed
27.
Zurück zum Zitat Weycker D, Akhras KS, Edelsberg J, Angus DC, Oster G. Long-term mortality and medical care charges in patients with severe sepsis. Crit Care Med. 2003;31:2316–23.CrossRefPubMed Weycker D, Akhras KS, Edelsberg J, Angus DC, Oster G. Long-term mortality and medical care charges in patients with severe sepsis. Crit Care Med. 2003;31:2316–23.CrossRefPubMed
28.
Zurück zum Zitat Needham DM, Feldman DR, Kho ME. The functional costs of ICU survivorship. Collaborating to improve post-ICU disability. Am J Respir Crit Care Med. 2011;183:962–4.CrossRefPubMed Needham DM, Feldman DR, Kho ME. The functional costs of ICU survivorship. Collaborating to improve post-ICU disability. Am J Respir Crit Care Med. 2011;183:962–4.CrossRefPubMed
Metadaten
Titel
A randomized trial of supplemental parenteral nutrition in underweight and overweight critically ill patients: the TOP-UP pilot trial
verfasst von
Paul E. Wischmeyer
Michel Hasselmann
Christine Kummerlen
Rosemary Kozar
Demetrios James Kutsogiannis
Constantine J. Karvellas
Beth Besecker
David K. Evans
Jean-Charles Preiser
Leah Gramlich
Khursheed Jeejeebhoy
Rupinder Dhaliwal
Xuran Jiang
Andrew G. Day
Daren K. Heyland
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Critical Care / Ausgabe 1/2017
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-017-1736-8

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