Clinical Sequelae From Overfeeding in Enterally Fed Critically Ill Adults: Where Is the Evidence?

Problematic meta-analyses: Bayesian and frequentist perspectives on combining randomized controlled trials and non-randomized studies

PURPOSE

In the literature, the propriety of the meta-analytic treatment-effect produced by combining randomized controlled trials (RCT) and non-randomized studies (NRS) is questioned, given the inherent confounding in NRS that may bias the meta-analysis. The current study compared an implicitly principled pooled Bayesian meta-analytic treatment-effect with that of frequentist pooling of RCT and NRS to determine how well each approach handled the NRS bias.

MATERIALS & METHODS

Binary outcome Critical-Care meta-analyses, reflecting the importance of such outcomes in Critical-Care practice, combining RCT and NRS were identified electronically. Bayesian pooled treatment-effect and 95% credible-intervals (BCrI), posterior model probabilities indicating model plausibility and Bayes-factors (BF) were estimated using an informative heavy-tailed heterogeneity prior (half-Cauchy). Preference for pooling of RCT and NRS was indicated for Bayes-factors > 3 or < 0.333 for the converse. All pooled frequentist treatment-effects and 95% confidence intervals (FCI) were re-estimated using the popular DerSimonian-Laird (DSL) random effects model.

RESULTS

Fifty meta-analyses were identified (2009-2021), reporting pooled estimates in 44; 29 were pharmaceutical-therapeutic and 21 were non-pharmaceutical therapeutic. Re-computed pooled DSL FCI excluded the null (OR or RR = 1) in 86% (43/50). In 18 meta-analyses there was an agreement between FCI and BCrI in excluding the null. In 23 meta-analyses where FCI excluded the null, BCrI embraced the null. BF supported a pooled model in 27 meta-analyses and separate models in 4. The highest density of the posterior model probabilities for 0.333 < Bayes factor < 1 was 0.8.

CONCLUSIONS

In the current meta-analytic cohort, an integrated and multifaceted Bayesian approach gave support to including NRS in a pooled-estimate model. Conversely, caution should attend the reporting of naïve frequentist pooled, RCT and NRS, meta-analytic treatment effects.

Nutrition intake in critically ill patients with coronavirus disease (COVID-19): A nationwide, multicentre, observational study in Argentina

INTRODUCTION

In 2020 the pandemic caused by SARS-COV-2 demanded an enormous number of healthcare resources in order to guarantee adequate treatment and support for those patients. This study aims to assess caloric and protein intake and evaluate its associations with relevant clinical outcomes in critically ill with coronavirus disease (COVID-19) patients.

METHODS

A nationwide, multicentre prospective observational study including twelve Argentinian intensive care units (ICUs,) was conducted between March and October 2020.

INCLUSION CRITERIA

Adult ICU patients>18 years admitted to the ICU with COVID-19 diagnosis and mechanical ventilation for at least 48h. Statistical analysis was carried out using IBM-SPSS© 24 programme.

RESULTS

One hundred and eighty-five patients were included in the study. Those who died had lower protein intake (0.73g/kg/day (95% confidence interval (CI) 0.70-0.75 vs 0.97g/kg/day (CI 0.95-0.99), P<0.001), and lower caloric intake than those who survived (12.94kcal/kg/day (CI 12.48-13.39) vs 16.47kcal/kg/day (CI 16.09-16.8), P<0.001). A model was built, and logistic regression showed that factors associated with the probability of achieving caloric and protein intake, were the early start of nutritional support, modified NUTRIC score higher than five points, and undernutrition (Subjective Global Assessment B or C). The patients that underwent mechanical ventilation in a prone position present less caloric and protein intake, similar to those with APACHE II>18.

CONCLUSIONS

Critically ill patients with COVID-19 associated respiratory failure requiring mechanical ventilation who died in ICU had less caloric and protein intake than those who survived. Early start on nutritional support and undernutrition increased the opportunity to achieve protein and caloric goals, whereas the severity of disease and mechanical ventilation in the prone position decreased the chance to reach caloric and protein targets.

Medical Nutrition Therapy in Critically Ill Patients with COVID-19-A Single-Center Observational Study

Medical nutrition should be tailored to cover a patient's needs, taking into account medical and organizational possibilities and obstacles. This observational study aimed to assess calories and protein delivery in critically ill patients with COVID-19. The study group comprised 72 subjects hospitalized in the intensive care unit (ICU) during the second and third SARS-CoV-2 waves in Poland. The caloric demand was calculated using the Harris-Benedict equation (HB), the Mifflin-St Jeor equation (MsJ), and the formula recommended by the European Society for Clinical Nutrition and Metabolism (ESPEN). Protein demand was calculated using ESPEN guidelines. Total daily calorie and protein intakes were collected during the first week of the ICU stay. The median coverages of the basal metabolic rate (BMR) during day 4 and day 7 of the ICU stay reached: 72% and 69% (HB), 74% and 76% (MsJ), and 73% and 71% (ESPEN), respectively. The median fulfillment of recommended protein intake was 40% on day 4 and 43% on day 7. The type of respiratory support influenced nutrition delivery. A need for ventilation in the prone position was the main difficulty to guarantee proper nutritional support. Systemic organizational improvement is needed to fulfill nutritional recommendations in this clinical scenario.

[Nutrition Intake in Critically Ill Patients with Coronavirus Disease (Covid-19): A Nationwide, Multicentre, Observational Study in Argentina]

INTRODUCTION

In 2020 the pandemic caused by SARS-COV-2 demanded an enormous number of healthcare resources in order to guarantee adequate treatment and support for those patients. This study aims to assess caloric and protein intake and evaluate its associations with relevant clinical outcomes in critically ill with Coronavirus Disease (COVID-19) patients.

METHODS

A nationwide, multicentre prospective observational study including twelve Argentinian intensive care units (ICUs,) was conducted between March-October 2020.

INCLUSION CRITERIA

Adult ICU patients >18 years admitted to the ICU with COVID-19 diagnosis and mechanical ventilation for at least 48hs. Statistical analysis was carried out using IBM-SPSS© 24 program.

RESULTS

One hundred and eighty-five patients were included in the study. Those who died had lower protein intake (0.73 g/kg/day (95% confidence interval (CI) 0.70-0.75 vs 0.97 g/kg/day (CI 0.95-0.99), P <0.001), and lower caloric intake than those who survived (12.94 kcal/kg/day (CI 12.48-13.39) vs 16.47 kcal/kg/day (CI 16.09-16.8), P <0.001).A model was built, and logistic regression showed that factors associated with the probability of achieving caloric and protein intake, were the early start of nutritional support, modified NUTRIC score higher than five points, and undernutrition (Subjective Global Assessment B or C). The patients that underwent mechanical ventilation in a prone position present less caloric and protein intake, similar to those with APACHE II >18.

CONCLUSIONS

Critically ill patients with COVID-19 associated respiratory failure requiring mechanical ventilation who died in ICU had less caloric and protein intake than those who survived. Early start on nutritional support and undernutrition increased the opportunity to achieve protein and caloric goals, whereas the severity of disease and mechanical ventilation in the prone position decreased the chance to reach caloric and protein targets.[[[es]]]RESUMENIntroducción: En 2020, la pandemia provocada por el SARS-COV-2, demandó una enorme cantidad de recursos sanitarios para garantizar el tratamiento y apoyo adecuado a estos pacientes. Este estudio tiene como objetivo evaluar la ingesta de calorías/proteínas y evaluar sus asociaciones con resultados clínicos relevantes en pacientes críticamente enfermos con enfermedad por coronavirus (COVID-19).Métodos: Se realizó un estudio observacional prospectivo multicéntrico a nivel nacional que incluyó 12 unidades de cuidados intensivos (UCI) argentinas entre marzo y octubre de 2020. Criterios de inclusión: pacientes adultos de la UCI > 18 años ingresados en la UCI con diagnóstico de COVID-19 y ventilación mecánica durante al menos 48 horas. El análisis estadístico se realizó mediante el programa IBM-SPSS© 24.

RESULTADOS

En el presente estudio se incluyeron 185 pacientes. Entre los que fallecieron se observó un aporte proteico más bajo (0,73 g/kg/día (intervalo de confianza (IC) del 95 % 0,70-0,75 frente a 0,97 g/kg/día (IC 0,95-0,99), P < 0,001), y menor aporte calórico que los que sobrevivieron (12,94 kcal/kg/día (IC 12,48-13,39) vs 16,47 kcal/kg/día (IC 16,09-16,8), P < 0,001).Se construyó un modelo de regresión logística para analizar qué factores estaban asociados con la probabilidad de lograrlos objetivos calóricos/proteicos. Se observo una mayor probabilidad de lograr dichos objetivos cuando el inicio del soporte nutricional era precoz, el puntaje NUTRIC modificado era superior a 5 puntos y el paciente tenía diagnóstico de desnutrición mediante la Evaluación Global Subjetiva(B o C). Por otra parte, en los pacientes que necesitaron ventilación mecánica en decúbito prono se observó menor aporte calórico y proteico, situación similar en aquellos con APACHE II > 18.

CONCLUSIONES

Los pacientes críticos con insuficiencia respiratoria asociada a la enfermedad por COVID-19 que requerían ventilación mecánica y que fallecieron en la UCI tuvieron una ingesta calórica y proteica menor que los que sobrevivieron. El inicio temprano del soporte nutricional y la desnutrición aumentaron la posibilidad de alcanzar los objetivos calóricos y proteicos, mientras que la gravedad de la enfermedad y la ventilación mecánica en decúbito prono disminuyeron la posibilidad de alcanzar los objetivos calóricos y proteicos.

Do we need different predictive equations for the acute and late phases of critical illness? A prospective observational study with repeated indirect calorimetry measurements

BACKGROUND

Predictive equations (PEs) for estimating resting energy expenditure (REE) that have been developed from acute phase data may not be applicable in the late phase and vice versa. This study aimed to assess whether separate PEs are needed for acute and late phases of critical illness and to develop and validate PE(s) based on the results of this assessment.

METHODS

Using indirect calorimetry, REE was measured at acute (≤5 days; n = 294) and late (≥6 days; n = 180) phases of intensive care unit admission. PEs were developed by multiple linear regression. A multi-fold cross-validation approach was used to validate the PEs. The best PEs were selected based on the highest coefficient of determination (R²), the lowest root mean square error (RMSE) and the lowest standard error of estimate (SEE). Two PEs developed from paired 168-patient data were compared with measured REE using mean absolute percentage difference.

RESULTS

Mean absolute percentage difference between predicted and measured REE was <20%, which is not clinically significant. Thus, a single PE was developed and validated from data of the larger sample size measured in the acute phase. The best PE for REE (kcal/day) was 891.6(Height) + 9.0(Weight) + 39.7(Minute Ventilation)-5.6(Age) - 354, with R² = 0.442, RMSE = 348.3, SEE = 325.6 and mean absolute percentage difference with measured REE was: 15.1 ± 14.2% [acute], 15.0 ± 13.1% [late].

CONCLUSIONS

Separate PEs for acute and late phases may not be necessary. Thus, we have developed and validated a PE from acute phase data and demonstrated that it can provide optimal estimates of REE for patients in both acute and late phases.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03319329.

Protein prescription and delivery practices in critically ill adults: A survey of Australian and New Zealand intensive care dietitians

BACKGROUND

Protein provision is thought to be integral to attenuating muscle wasting in critical illness, yet patients receive half of that prescribed. As international guidelines lack definitive evidence to support recommendations, understanding clinicians' views relating to protein practices is of importance.

OBJECTIVES

The objective of this study was to describe Australia and New Zealand intensive care unit (ICU) dietitians' protein prescription and perceived delivery practices in critically ill adults, including common barriers and associations between ICU clinical experience and protein prescriptions for different clinical conditions.

METHODS

A 42-item descriptive quantitative survey of Australian and New Zealand intensive care dietitians was disseminated through nutrition and ICU society e-mailing lists. Data were collected on respondent demographics and reported protein practices including questions related to a multitrauma case study. Data were analysed using descriptive and content analysis and reported as n (%). Fisher's exact tests were used to compare experience and protein prescriptions.

RESULTS

Of the 67 responses received (one excluded due to >50% missing data), more than 80% of respondents stated they would prescribe 1.2-1.5 g protein/kg bodyweight/day for most critically ill patients, most commonly using European Society of Clinical Nutrition and Metabolism (ESPEN) guidelines to support prescriptions (n = 61/66, 92%). Most respondents (n = 49/66, 74%) thought their practice achieved 61-80% of protein prescriptions, with frequently reported barriers including fasting periods (n = 59/66, 89%), avoiding energy overfeeding (n = 50/66, 76%), and gastrointestinal intolerance (n = 47/66, 71%). No associations between years of ICU experience and protein prescriptions for 14 of the 15 predefined clinical conditions were present.

CONCLUSIONS

Australian and New Zealand ICU dietitians use international guidelines to inform protein prescriptions of 1.2-1.5 g/kg/day for most clinical conditions, and protein prescriptions do not appear to be influenced by years of ICU experience. Key perceived barriers to protein delivery including avoidance of energy overfeeding and gastrointestinal intolerance could be explored to improve protein adequacy.

Reporting of Randomized Controlled Trials Investigating an Enteral or Parenteral Nutrition Intervention in Critical Illness According to the CONSORT Statement: A Systematic Review and Recommendation of Minimum Standard Reporting Criteria

Lack of reporting consistency is common in randomized controlled trials (RCTs) in critical care nutrition. This impacts synthesis and interpretation and may misinform clinical practice. The objective was to evaluate reporting of parallel-group RCTs of enteral or parenteral nutrition interventions in critically ill adults against the recommendations in the Consolidated Standards of Reporting Trials (CONSORT) 2010 guidelines and a priori-defined nutrition criteria. A systematic search of CENTRAL, MEDLINE, EMBASE, and CINAHL was conducted to identify RCTs published from January 2011 to February 14, 2020. The primary outcome was the percentage of CONSORT criteria "completely met" (a score of 1) from all included studies (out of a total possible score of 37). Secondary outcomes included the percentage of CONSORT criteria that were "partially" or "not met" and the percentage of a priori-defined nutrition criteria that were "completely," "partially," or "not met" (adjusted to reflect criteria applicable to the paper). Data are presented as mean (standard deviation). Comparisons of normally distributed continuous data were made using a t-test (P < .05). Of 18,969 articles identified, 56 studies met inclusion criteria. Of these, 60% (19%) of the eligible CONSORT criteria were "completely met," 20% (9%) "partially met," and 20% (15%) "not met." For the nutrition criteria, 41% (20%) of the eligible criteria were "completely met," 25% (14%) "partially met," and 34% (17%) "not met." Reporting against CONSORT guidelines was variable and often incomplete in relation to important a priori-defined nutrition variables.

Observational study evaluating the nutritional impact of changing from 1% to 2% propofol in a cardiothoracic adult critical care unit

BACKGROUND

Nutritional support in the critically ill aims to avoid under and overfeeding, adjusting to changes in energy expenditure during critical illness. The sedation propofol provides significant fat and energy load. We investigated whether changing from 1% to a 2% propofol, would decrease non-nutritional energy, avoid energy overfeeding and increase the amount of protein delivered.

METHODS

A retrospective observational study was performed. The primary outcome was protein delivery. Secondary outcomes were energy from propofol fat and the total energy delivered from nutrition and propofol.

RESULTS

In total, 100 patients were investigated, with 50 patients in each group. The propofol dose was comparable for each group. The nutrition energy prescribed was significantly less for the 1% compared to 2% group, taking the energy from propofol into consideration. Both groups had similar protein targets, although the amount delivered was significantly higher in the 2% group. Thirty-six percent of individuals receiving 1% exceeded 45% of total energy from fat. The poor delivery of nutrition resulted in inadequate energy and protein, irrespective of propofol dose.

CONCLUSIONS

We investigated the impact of propofol on energy overfeeding and under delivery of protein, and highlighted suboptimal nutritional provision. Work is needed to investigate the harm that high-fat delivery may pose in light of poor nutrition delivery.

Indirect Calorimetry Measurements Compared With Guideline Weight-Based Energy Calculations in Critically Ill Stroke Patients

BACKGROUND

Perturbations in resting energy expenditure (REE) among critically ill stroke patients are ill defined, and guidelines recommend weight-based dosing when indirect calorimetry (IC) is not feasible to estimate daily energy requirements. We aimed to determine whether guideline-recommended weight-based dosing provides adequate energy requirements compared with guidelines recommended IC target.

METHODS

IC data was collected on stroke patients admitted to a neurocritical care unit. We compared low-weight-based dosing (25 kcal/kg) and high (30 kcal/kg) with the IC REE target. Subsequently, we analyzed the effect of stroke subtype on the differences among these measurements.

RESULTS

Seventy-two metabolic studies were performed (45.1% intracerebral hemorrhage [ICH], 18.3% aneurysmal subarachnoid hemorrhage [aSAH], and 36.6% acute ischemic stroke [AIS]). Energy needs, estimated using low-weight-based group, were significantly lower than IC REE target (1496 kcal/day [IQR, 1224-1850] vs 1770 kcal/day [IQR, 1400-2150]; P = .003). High weight-based group energy measurements were similar to IC REE target (1806 kcal/day [IQR, 1530-2236] vs 1770 kcal/day; P = .343). Subgroup analysis showed that low-weight-based calculations were significantly lower than those of IC in ICH and aSAH, but they were similar in AIS (P ≤ .001, .016, and .078, respectively). Linear regression analysis showed that weight, height, and hemorrhagic stroke subtype were associated with IC (P ≤ .001, .024, and .051, respectively).

CONCLUSION

Important differences between weight-based estimation of energy needs and guideline-recommended IC estimation exist for critically ill stroke patients. Low-weight-based calculations of REE underestimate energy needs in ICH and aSAH patients.

First international meeting of early career investigators: Current opportunities, challenges and horizon in critical care nutrition research

BACKGROUND

Appropriate nutritional support is a key component of care for critically ill patients. While malnutrition increases complications, impacting long term outcomes and healthcare-related costs, uncertainties persist regarding optimal provision of nutritional support in this setting.

METHODS

An international group of healthcare providers (HCPs) from critical care specialties and nutrition researchers convened to identify knowledge gaps and learnings from studies in critical care nutrition. Clinical research needs were identified in order to better inform future nutrition practices.

RESULTS

Challenges in critical care nutrition arise, in part, from inconsistent outcomes in several large-scale studies regarding the optimal amount of calories and protein to prescribe, the optimal time to initiate nutritional support and the role of parental nutrition to support critically ill patients. Furthermore, there is uncertainty on how best to identify patients at nutritional risk, and the appropriate outcome measures for ICU nutrition studies. Given HCPs have a suboptimal evidence base to inform the nutritional management of critically ill patients, further well-designed clinical trials capturing clinically relevant endpoints are needed to address these knowledge gaps.

CONCLUSIONS

The identified aspects for future research could be addressed in studies designed and conducted in collaboration with an international team of interdisciplinary nutrition experts. The aim of this collaboration is to address the unmet need for robust clinical data needed to develop high-quality evidence-based nutritional intervention recommendations to better inform the future management of critically ill patients.