Early versus late enteral nutrition in critically ill patients receiving vasopressor support

Nomogram establishment for short-term survival prediction in ICU patients with aplastic anemia based on the MIMIC-IV database

OBJECTIVE

To establish an efficient nomogram model to predict short-term survival in ICU patients with aplastic anemia (AA).

METHODS

The data of AA patients in the MIMIC-IV database were obtained and randomly assigned to the training set and testing set in a ratio of 7:3. Independent prognosis factors were identified through univariate and multivariate Cox regression analyses. The variance inflation factor was calculated to detect the correlation between variables. A nomogram model was built based on independent prognostic factors and risk scores for factors were generated. Model performance was tested using C-index, receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA) and Kaplan-Meier curve.

RESULTS

A total of 1,963 AA patients were included. A nomogram model with 7 variables was built, including SAPS II, chronic pulmonary obstructive disease, body temperature, red cell distribution width, saturation of peripheral oxygen, age and mechanical ventilation. The C-indexes in the training set and testing set were 0.642 and 0.643 respectively, indicating certain accuracy of the model. ROC curve showed favorable classification performance of nomogram. The calibration curve reflected that its probabilistic prediction was reliable. DCA revealed good clinical practicability of the model. Moreover, the Kaplan-Meier curve showed that receiving mechanical ventilation could improve the survival status of AA patients in the short term but did not in the later period.

CONCLUSION

The nomogram model of the short-term survival rate of AA patients was built based on clinical characteristics, and early mechanical ventilation could help improve the short-term survival rate of patients.

Survival analysis of famotidine administration routes in non-traumatic intracerebral hemorrhage patients: based on the MIMIC-IV database

OBJECTIVE

This project aims to compare the survival outcomes of non-traumatic intracerebral hemorrhage (ICH) patients with different famotidine administration routes, and explore the risk factors influencing patients' clinical outcomes.

METHODS

Data of patients admitted to the ICU from 2008 to 2019 and receiving famotidine therapy were collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Patients selected for ICU admission > 1 day and treated with famotidine were divided into the group via intravenous (IV) dosing and the group via non-intravenous (Non-IV) dosing. Cox analysis and bilateral stepwise regression were utilized to determine independent prognostic factors affecting patient survival. Survival of patients on different routes of administration before and after propensity score matching (PSM) was compared using Kaplan - Meier (K-M) survival curves.

RESULTS

This investigation included 351 patients. After PSM was matched with a 1:2 ratio, 109 patients were clustered in the IV group and 84 patients in the Non-IV group. Cox multivariate results uncovered that survival prognosis in ICH patients receiving famotidine was associated with age (HR = 1.031, 95%CI:1.011-1.050, p = 0.002), chloride ion levels (HR = 1.061, 95%CI:1.027-1.096, p < 0.001), blood urea nitrogen (BUN) (HR = 1.034, 95%CI:1.007-1.062, p = 0.012), intracranial pressure (ICP) (HR = 1.059, 95%CI:1.027-1.092, p < 0.001), red blood cell distribution width (RDW) (HR = 1.156, 95%CI:1.030-1.299, p = 0.014), mechanical ventilation (HR = 2.526, 95%CI:1.341-4.760, p = 0.004), antibiotic use (HR = 0.331, 95%CI:0.144-0.759, p = 0.009), and Non-IV route (HR = 0.518, 95%CI:0.283-0.948, p = 0.033). The K-M curve results indicated that the 30-day survival rate of Non-IV group ICH patients was substantially higher than that of IV group patients (before PSM, p = 0.036; after PSM, p = 0.011). In the subgroup analysis of age, ICP, mechanical ventilation, and antibiotic use, there was a great heterogeneity interaction between the administration of famotidine and the 30-day mortality rate (P for interaction < 0.05). The Non-IV route considerably reduced the risk of death in patients with normal ICP (7-15 mmHg) (HR = 0.518, 95%CI:0.283-0.948, p = 0.033).

CONCLUSION

Among ICH patients receiving famotidine, those receiving famotidine via Non-IV have a better 30-day survival rate compared to those receiving IV, especially in patients with normal ICP (7-15 mmHg).

Development and validation of a predictive model for pulmonary infection risk in patients with traumatic brain injury in the ICU: a retrospective cohort study based on MIMIC-IV

OBJECTIVE

To develop a nomogram for predicting occurrence of secondary pulmonary infection in patients with critically traumatic brain injury (TBI) during their stay in the intensive care unit, to further optimise personalised treatment for patients and support the development of effective, evidence-based prevention and intervention strategies.

DATA SOURCE

This study used patient data from the publicly available MIMIC-IV (Medical Information Mart for Intensive Care IV) database.

DESIGN

A population-based retrospective cohort study.

METHODS

In this retrospective cohort study, 1780 patients with TBI were included and randomly divided into a training set (n=1246) and a development set (n=534). The impact of pulmonary infection on survival was analysed using Kaplan-Meier curves. A univariate logistic regression model was built in training set to identify potential factors for pulmonary infection, and independent risk factors were determined in a multivariate logistic regression model to build nomogram model. Nomogram performance was assessed with receiver operating characteristic (ROC) curves, calibration curves and Hosmer-Lemeshow test, and predictive value was assessed by decision curve analysis (DCA).

RESULT

This study included a total of 1780 patients with TBI, of which 186 patients (approximately 10%) developed secondary lung infections, and 21 patients died during hospitalisation. Among the 1594 patients who did not develop lung infections, only 85 patients died (accounting for 5.3%). The survival curves indicated a significant survival disadvantage for patients with TBI with pulmonary infection at 7 and 14 days after intensive care unit admission (p<0.001). Both univariate and multivariate logistic regression analyses showed that factors such as race other than white or black, respiratory rate, temperature, mechanical ventilation, antibiotics and congestive heart failure were independent risk factors for pulmonary infection in patients with TBI (OR>1, p<0.05). Based on these factors, along with Glasgow Coma Scale and international normalised ratio variables, a training set model was constructed to predict the risk of pulmonary infection in patients with TBI, with an area under the ROC curve of 0.800 in the training set and 0.768 in the validation set. The calibration curve demonstrated the model's good calibration and consistency with actual observations, while DCA indicated the practical utility of the predictive model in clinical practice.

CONCLUSION

This study established a predictive model for pulmonary infections in patients with TBI, which may help clinical doctors identify high-risk patients early and prevent occurrence of pulmonary infections.

Role of artificial intelligence in critical care nutrition support and research

Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal nutrition strategy, however, remains a subject of intense debate. Artificial intelligence (AI) applications are becoming increasingly common in medicine, and specifically in critical care, driven by the data-rich environment of intensive care units. In this review, we will examine the evidence regarding the application of AI in critical care nutrition. As of now, the use of AI in critical care nutrition is relatively limited, with its primary emphasis on malnutrition screening and tolerance of enteral nutrition. Despite the current scarcity of evidence, the potential for AI for more personalized nutrition management for critically ill patients is substantial. This stems from the ability of AI to integrate multiple data streams reflecting patients' changing needs while addressing inherent heterogeneity. The application of AI in critical care nutrition holds promise for optimizing patient outcomes through tailored and adaptive nutrition interventions. A successful implementation of AI, however, necessitates a multidisciplinary approach, coupled with careful consideration of challenges related to data management, financial aspects, and patient privacy.

Comparative efficacy of peptide-based versus standard polymeric enteral nutrition in ICU patients at high nutritional risk: a multicenter randomized controlled trial

Within intensive care units (ICU), the administration of peptide-based formulas (PBF) may confer nutritional advantages for critically ill patients identified with heightened nutritional risk. This investigation aimed to ascertain the efficacy of PBF in comparison to standard polymeric formulas (SPF) among this patient cohort. A double-blind, randomized controlled trial was conducted across three ICUs, encompassing 63 adult patients characterized by elevated modified Nutrition Risk in Critically Ill (mNUTRIC) scores. Enrollment occurred promptly subsequent to ICU admission, with participants allocated to receive either PBF or SPF. Primary outcome was the duration to achieve caloric targets. Secondary outcomes involved the evaluation of mean daily gastric residual volume, mechanical ventilation period, infection rates within the ICU, length of hospitalization, mortality rates, nutritional status and inflammatory markers, specifically serum albumin and interleukin-6 levels. Patients in the PBF group reached their caloric targets more expeditiously compared to the SPF group (2.06 ± 0.43 days versus 2.39 ± 0.79 days; p = 0.03). No significant differences were discernible between the groups regarding gastric residual volume, duration of mechanical ventilation, ICU length of stay, mortality, or infection rates. Both cohorts exhibited minimal adverse effects and were devoid of any instances of abdominal distension. While not reaching statistical significance, the observed trends in albumin and interleukin-6 levels suggest a potential advantage of PBF utilization. The implementation of PBF enabled swifter attainment of caloric goals in ICU patients at high nutritional risk without adversely impacting other clinical parameters. Given its favorable tolerance profile and potential immunomodulatory properties, PBF may be considered a valuable nutritional intervention in this setting.Thai Clinical Trials Registry TCTR20220221006. Registered 21 February 2022, https://www.thaiclinicaltrials.org/show/TCTR20220221006 .

Effect of early enteral nutrition on short-term outcomes and survival in patients in the cardiothoracic intensive care unit: An inverse probability weighted retrospective study

OBJECTIVES

The merits of early enteral nutrition (EEN) in patients in the cardiothoracic intensive care unit (CTICU) remain unclear. This retrospective study aimed to address this issue.

METHODS

We analyzed data from the MIMIC IV v2.0 database, including patients with a CTICU stay of ≥4 d. Patients were divided into early and delayed enteral nutrition (EN) groups. Differences in baseline data were corrected using an inverse probability weighting (IPW) approach. Generalized linear models (GLMs) were used to compare trends over time between groups, and survival effects were evaluated with weighted logistic and Cox regression, supplemented by weighted Kaplan-Meier curves. Subgroup analysis facilitated the exploration of potential interactions.

RESULTS

The study included 720 CTICU patients. Following IPW, all baseline variables were balanced. EEN led to shorter hospital and CTICU stays, lower incidence of respiratory and blood infections, and reduced total insulin usage in the first week of CTICU admission, albeit with an increased total gastric residual volume. Mortality risk between the groups did not significantly differ at 28 d or at 1 y. Excessive early energy and protein intake elevated the risk of 28-d mortality, but the relationship may not be linear. Overweight patients or those with fewer comorbidities had a higher mortality risk with EEN.

CONCLUSIONS

EEN may improve short-term outcomes in CTICU patients without a clear survival benefit. Early high caloric and protein intake could lead to adverse outcomes, suggesting a careful evaluation for initiating EN in specific patients.

Impact of a multidisciplinary collaborative nutritional treatment model in patients who are critically ill with neurological disorders: A randomized controlled trial

BACKGROUND

Malnutrition is a widespread problem in critically ill patients with neurological disorders.

OBJECTIVE

The purpose of this study is to investigate the effect of a multidisciplinary collaborative nutritional treatment mode based on a standardized unit for nutritional support on the outcome metrics in patients with neurological disorders who are critically ill.

METHODS

We enrolled 84 participants who were hospitalized in the intensive care unit (ICU) of Yancheng No. 1 People's Hospital for neurological disorders between June 2018 and December 2021. The participants were randomly assigned to the control group and the test group. The control group received traditional nutritional support, while the test group was treated with a multidisciplinary collaborative nutritional treatment mode based on a standardized unit for nutritional support. We collected the general information, feeding tolerance (FT), nutritional risk score, and laboratory indicators before intervention, after intervention for one week, and after intervention for 2 weeks, and other data of the participants.

RESULTS

After the intervention, the test group scored significantly lower than the control group in the incidence of gastroparesis and diarrhea, as well as the NUTRIC score, with statistically significant differences (P< 0.001). The prealbumin levels in the test group increased progressively prior to intervention, after intervention for one week, and after intervention for two weeks. Compared to the control group, the test group had higher prealbumin levels prior to intervention, after intervention for one week, and after intervention for two weeks, with statistically significant differences (P< 0.001).

CONCLUSION

We developed a multidisciplinary collaborative nutritional treatment model based on a standard unit for nutritional support. This model can improve neural function, FT, and pertinent outcome indicators and is generally applicable.

Nutrition Therapy for Patients With Traumatic Brain Injury: A Narrative Review

Traumatic brain injury (TBI) is a global health and socio-economic problem, resulting in significant disability and mortality. Malnutrition is common in TBI patients and is associated with increased vulnerability to infection, higher morbidity and mortality rates, as well as longer stays in the intensive care unit and hospital. Following TBI, various pathophysiological mechanisms, such as hypermetabolism and hypercatabolism, affect patient outcomes. It is crucial to provide adequate nutrition therapy to prevent secondary brain damage and promote optimal recovery. This review includes a literature review and discusses the challenges encountered in clinical practice regarding nutrition in TBI patients. The focus is on determining energy requirements, timing and methods of nutrition delivery, promoting enteral tolerance, providing enteral nutrition to patients receiving vasopressors, and implementing trophic enteral nutrition. Enhancing our understanding of the current evidence regarding appropriate nutrition practices will contribute to improving overall outcomes for TBI patients.

Impact of Intensive Care Unit Nutrition on the Microbiome and Patient Outcomes

The bipartite relationship between nutrition and the intestinal microbiome represents an exciting frontier in critical care medicine. In this review, the authors first address these topics independently, leading with a summary of recent clinical studies assessing intensive care unit nutritional strategies, followed by an exploration of the microbiome in the context of perioperative and intensive care, including recent clinical data implicating microbial dysbiosis as a key driver of clinical outcomes. Finally, the authors address the intersection of nutrition and the microbiome, exploring the use of supplemental pre-, pro-, and synbiotics to influence microbial composition and improve outcomes in critically ill and postsurgical patients.

Early versus delayed enteral nutrition in mechanically ventilated patients with circulatory shock: a nested cohort analysis of an international multicenter, pragmatic clinical trial

Introduction

Real-world evidence on the timing and efficacy of enteral nutrition (EN) practices in intensive care unit (ICU) patients with circulatory shock is limited. We hypothesized early EN (EEN), as compared to delayed EN (DEN), is associated with improved clinical outcomes in mechanically ventilated (MV) patients with circulatory shock.

Methods

We analyzed a dataset from an international, multicenter, pragmatic randomized clinical trial (RCT) evaluating protein dose in ICU patients. Data were collected from ICU admission, and EEN was defined as initiating < 48 h from ICU admission and DEN > 48 h. We identified MV patients in circulatory shock to evaluate the association between the timing of EN initiation and clinical outcomes. The regression analysis model controlled for age, mNUTRIC score, APACHE II score, sepsis, and Site.

Results

We included 626 patients, from 52 ICUs in 14 countries. Median age was 60 years [18–93], 55% had septic shock, 99% received norepinephrine alone, 91% received EN alone, and 50.3% were randomized to a usual protein dose. Forty-two percent of EEN patients had persistent organ dysfunction syndrome plus death at day 28, compared to 53% in the DEN group (p = 0.04). EEN was associated with more ICU-free days (9.3 ± 9.2 vs. 5.7 ± 7.9, p = 0.0002), more days alive and free of vasopressors (7.1 ± 3.1 vs. 6.3 ± 3.2, p = 0.007), and shorter duration of MV among survivors (9.8 ± 10.9 vs. 13.8 ± 14.5, p = 0.0002). This trend was no longer observed in the adjusted analysis. There were no differences in ICU/60-day mortality or feeding intolerance rates between groups.

Conclusion

In MV patients with circulatory shock, EEN, as compared to DEN, was associated with improved clinical outcomes, but no longer when adjusting for illness severity. RCTs comparing the efficacy of EEN to DEN in MV patients with circulatory shock are warranted.