Complementarity of modified NUTRIC score with or without C-reactive protein and subjective global assessment in predicting mortality in critically ill patients

Clinical practice guidelines for nutritional assessment and monitoring of adult ICU patients in China

The Chinese Society of Critical Care Medicine (CSCCM) has developed clinical practice guidelines for nutrition assessment and monitoring for patients in adult intensive care units (ICUs) in China. This guideline focuses on nutrition evaluation and metabolic monitoring to achieve optimal and personalized nutrition therapy for critically ill patients. This guideline was developed by experts in critical care medicine and evidence-based medicine methodology and was developed after a thorough review of the system and a summary of relevant trials or studies published from 2000 to July 2023. A total of 18 recommendations were formed and consensus was reached through discussions and reviews by expert groups in critical care medicine, parenteral and enteral nutrition, and surgery. The recommendations are based on currently available evidence and cover several key fields, including screening and assessment, evaluation and assessment of enteral feeding intolerance, metabolic and nutritional measurement and monitoring during nutrition therapy, and organ function evaluation related to nutrition supply. Each question was analyzed according to the Population, Intervention, Comparison, and Outcome (PICO) principle. In addition, interpretations were provided for four questions that did not reach a consensus but may have potential clinical and research value. The plan is to update this nutrition assessment and monitoring guideline using the international guideline update method within 3-5 years.

[High nutritional risk by three variants of NUTRIC score in critically ventilated patients]

Introduction

Introduction: variants of the NUTRIC score with or without inflammatory biomarkers, modified without interleukin 6 (IL-6) (NUTRICm), with C-reactive protein (CRP) instead of IL-6, dichotomous (NUTRICpcr1) or in tertiles (NUTRICpcr2), were proposed to assess nutritional risk (NR) in critical patients. However, the assessment of the high NR might not be uniform between these scores. Objectives: to compare the assessment of the high NR by NUTRICm and the two variants of the NUTRICpcr. Material and methods: analysis of a prospective cohort of patients ventilated prior to COVID-19. Agreement was analyzed using the Kappa test and mortality discrimination by logistic regression. The proportion of patients with high NR was compared with the Chi-square test. Results: five hundred and fifty patients were analyzed. Median (IQR) age and APACHE II: 44 (28-58) years and 17 (12-22) points, predominant traumatic pathology (38.2 %) and Intensive Care Unit (ICU) mortality of 32.5 %. The concordance was high between NUTRICm and NUTRICpcr1 (Kappa = 0.81) and lower between NUTRICm and NUTRICpcr2 (Kappa = 0.60). The AUCROC (95 % CI) of NUTRICm, NUTRICpcr1 and NUTRICpcr2 to discriminate mortality was 0.695 (0.495-0.591), 0.693 (0.495-0.591) and 0.685 (0.495-0.591), respectively. The tall NB showed significant differences between NUTRICm and NUTRICpcr1 (19.8 % vs 14.4 %, p 0.0243), being greater between NUTRICm and NUTRICpcr2 (19.8 vs 9.8 %, p < 0.0001). Conclusion: the three NUTRIC variants studied discriminate mortality in a similar way. However, the NUTRICm, without an inflammatory biomarker, classifies more patients as high nutritional risk.

Modified Nutrition Risk in the Critically ill score and mortality in critically ill patients with traumatic brain injury

BACKGROUND

Understanding the relationship between nutrition risk at admission to the intensive care unit (ICU) and the prognosis of patients with traumatic brain injury (TBI) may aid early recognition of high-risk patients.

METHODS

We extracted data from the Medical Information Mart for Intensive Care III and the electronic ICU Collaborative Research Databases. Using modified Nutrition Risk in the Critically ill score (mNUTRIC) within the first 24 h of ICU admission, 5153 patients were divided into three groups: low (≤1, n = 1765), moderate (2-4, n = 2574), and high (≥5, n = 814). The primary outcome was 28-day in-hospital mortality, and the secondary outcomes were 7-day in-hospital mortality, length of ICU stay, and duration of mechanical ventilation.

RESULTS

During the median follow-up time of 6.69 days, 647 deaths occurred in total. After adjustment for potential confounding factors, setting the low mNUTRIC group as a reference, the risk of 28-day mortality was increased in the high and moderate mNUTRIC groups (hazard ratio [HR]high vs low [95% CI]: 4.21 [2.70-6.58] and 2.84 [1.95-4.14], respectively). Similarly, high and moderate mNUTRIC scores are linked to a higher risk of 7-day mortality (PTrend  < 0.001) and a longer duration of mechanical ventilation (PTrend  < 0.001). The effect of mNUTRIC on mortality varied by serum glucose level (PInteraction  = 0.01). Lastly, those whose mNUTRIC scores deteriorated within the first 3 days have a 1.46 times greater risk of dying compared with patients with improved mNUTRIC scores.

CONCLUSIONS

Nutrition risk screening by mNUTRIC score at the time of admission to the ICU may improve mortality prediction.

Prognostic values of modified NUTRIC score to assess outcomes in critically ill patients admitted to the intensive care units: prospective observational study

PURPOSE

Modified Nutrition Risk in the Critically Ill (NUTRIC) score (mNUTRIC score) have been validated as screening tool for quantifying risk of adverse outcome critically ill patients admitted to the intensive care units (ICUs). The aim of this study was to evaluate the prognostic value of mNUTRIC score to assess outcomes in this population.

MATERIALS AND METHODS

This prospective, observational study was conducted on adult patients admitted to the general ICUs of two university affiliated hospital in northwest of Iran. The association between the mNUTRIC score and outcomes was assessed using the univariate and multivariate binary logistic regression. The performance of mNUTRIC score to predict outcomes was assessed using the receiver operating characteristic (ROC)-curve.

RESULTS

In total 445 ICU patients were enrolled. Based on mNUTRIC score, 62 (13.9%) and 383 (86.1%) individuals were identified at high and low nutritional risk, respectively. The area under the curve (AUC) for predicting ICU mortality, using vasopressor, duration of vasopressor, and mechanical ventilation (MV) duration were (AUC: 0.973, 95% CI: 0.954-0.986, P < 0.001), (AUC: 0.807, 95% CI: 0.767-0.843, P < 0.001), (AUC: 0.726, 95% CI: 0.680-0.769, P < 0.001) and (AUC: 0.710, 95% CI: 0.666-0.752, P < 0.001), respectively.

CONCLUSIONS

An excellent and good predictive performance of the mNUTRIC score was found regarding ICU mortality and using vasopressor, respectively. However, this predictive was fair for MV and vasopressor duration and poor for ICU and hospital length of stay.

Incorporation of plasma Vitamin C levels to modified nutritional risk in critically ill score as the novel Vitamin C nutritional risk in critically ill score in sepsis subjects as an early predictor of multidrug-resistant bacteria: A prospective observational study

Background

On intensive care unit (ICU) admission, it is difficult to predict which patient may harbor multidrug-resistant (MDR) bacteria. MDR is the nonsusceptibility of bacteria to at least one antibiotic in three or more antimicrobial categories. Vitamin C inhibits bacterial biofilms, and its incorporation into the modified nutritional risk in critically ill (mNUTRIC) scores may help predict MDR bacterial sepsis early.

Methods

A prospective observational study was conducted on adult subjects with sepsis. Plasma Vitamin C level was estimated within 24 h of ICU admission, and it was incorporated into the mNUTRIC score (designated as Vitamin C nutritional risk in critically ill [vNUTRIC]). Multivariable logistic regression was performed to determine if vNUTRIC was an independent predictor of MDR bacterial culture in sepsis subjects. The receiver operating characteristic curve was plotted to determine the vNUTRIC cutoff score for predicting MDR bacterial culture.

Results

A total of 103 patients were recruited. The bacterial culture-positive sepsis subjects were 58/103, with 49/58 culture-positive subjects having MDR. The vNUTRIC score on ICU admission in the MDR bacteria group was 6.71 ± 1.92 versus 5.42 ± 2.2 in the non-MDR bacteria group (P = 0.003, Independent Student's t-test). High vNUTRIC score ≥6 on admission is associated with MDR bacteria (P = 0.042 Chi-Square test), and is a predictor of MDR bacteria (P = 0.003, AUC 0.671, 95% confidence interval [0.568-0.775], sensitivity 71%, specificity 48%). Logistic regression showed that the vNUTRIC score is an independent predictor of MDR bacteria.

CONCLUSION

High vNUTRIC score (≥6) on ICU admission in sepsis subjects is associated with MDR bacteria.

Significance of the Modified NUTRIC Score for Predicting Clinical Outcomes in Patients with Severe Community-Acquired Pneumonia

Nutritional status could affect clinical outcomes in critical patients. We aimed to determine the prognostic accuracy of the modified Nutrition Risk in Critically Ill (mNUTRIC) score for hospital mortality and treatment outcomes in patients with severe community-acquired pneumonia (SCAP) compared to other clinical prediction rules. We enrolled SCAP patients in a multi-center setting retrospectively. The mNUTRIC score and clinical prediction rules for pneumonia, as well as clinical factors, were calculated and recorded. Clinical outcomes, including mortality status and treatment outcome, were assessed after the patient was discharged. We used the receiver operating characteristic (ROC) curve method and multivariate logistic regression analysis to determine the prognostic accuracy of the mNUTRIC score for predicting clinical outcomes compared to clinical prediction rules, while 815 SCAP patients were enrolled. ROC curve analysis showed that the mNUTRIC score was the most effective at predicting each clinical outcome and had the highest area under the ROC curve value. The cut-off value for predicting clinical outcomes was 5.5. By multivariate logistic regression analysis, the mNUTRIC score was also an independent predictor of both clinical outcomes in SCAP patients. We concluded that the mNUTRIC score is a better prognostic factor for predicting clinical outcomes in SCAP patients compared to other clinical prediction rules.

A high neutrophil to lymphocyte ratio at ICU admission is associated with nutritional risk in COVID-19 patients

Background

Inflammation plays a crucial role in nutrition status and can be useful in early nutrition risk screening of patients during the coronavirus disease 2019 (COVID‐19) pandemic. Thus, this study aimed to assess the association between systemic inflammatory markers and nutrition risk tools in intensive care unit (ICU) patients with COVID‐19.

Methods

Patients with confirmed COVID‐19 and ICU admission were enrolled in a retrospective, observational, cross‐sectional study. The medians of C‐reactive protein (CRP; ≥13.8 mg/dl) and the neutrophil‐to‐lymphocyte ratio (NLR; ≥12.6) upon admission were used to dichotomize patients.

Results

Of the 73 patients, 63% were men; the average age was 56 years, and the median length of hospital stay was 10 (25th: 4; 75th: 17) days. When nutrition risk screening tools were used, 85% were at risk according to Nutritional Risk Screening (≥3 points), whereas 42% had high risk according to the Modified Nutrition Risk in the Critically Ill (mNUTRIC; ≥5 points), and 57% were moderately or severely malnourished according to the Subjective Global Assessment (B or C). Mortality was higher in the group with NLR ≥12.6 than in the group with NLR <12.6, with no difference between CRP groups. A significant association was found only between NLR and mNUTRIC, even when adjusted by sex, age, and body mass index (odds ratio, 1.36; 95% CI, 1.06–1.76; P = 0.016), but not between CRP and nutrition risk.

Conclusion

Although the inflammatory marker CRP is the most used in hospital clinical practice, we found that only NLR was associated with nutrition risk (NUTRIC score).

Association between the modified Nutrition Risk in Critically Ill (mNUTRIC) score and clinical outcomes in the intensive care unit: a secondary analysis of a large prospective observational study

Background

Malnutrition in intensive care unit (ICU) patients is associated with adverse clinical outcomes. The modified nutrition risk in the critically ill score (mNUTRIC) was proposed as an appropriate nutritional assessment tool in critically ill patients, but it has not been fully demonstrated and widely used. Our study was conducted to identify the nutritional risk in ICU patients using the mNUTRIC score and explore the relationship between 28-day mortality and high mNUTRIC scores.

Methods

This study is a secondary analysis, the data were extracted from The Beijing Acute Kidney Injury Trial (BAKIT). In total, 9049 patients were admitted consecutively, and 3107 patients with complete clinical data were included in this study. We divided the study population into high nutritional risk (mNUTRIC score ≥ 5 points) and low nutritional risk (mNUTRIC score < 5 points) groups. The predictive capacity of the mNUTRIC score was studied by receiver operating characteristic (ROC) curve analysis, appropriate cut-off was identified by highest combined sensitivity and specificity using Youden’s index. The significance level was set at 5%.

Results

Among the 3107 patients, the 28-day mortality rate was 17.4% (540 patients died). Nearly 28.2% of patients admitted to the ICU were at risk of malnutrition, high nutritional risk patients were older (P < 0.001), with higher illness severity scores than low nutritional risk patients. Multivariate analysis revealed that the mNUTRIC score was an independent risk factor for 28-day mortality and mortality increased with increasing scores (p = 0.000). The calculated area under curve (AUC) for the mNUTRIC score was 0.763 (CI 0.740–0.786). According to Youden’s index, we found a suitable cut-off > 4 for the mNUTRIC score to predict the 28-day mortality.

Conclusions

Patients admitted to the ICU were at high risk of malnutrition, and a high mNUTRIC score was associated with increased ICU length of stay and higher mortality. More large prospective studies are needed to demonstrate the validity of this score.

Trial registration

This study was registered at www.chictr.org.cn (registration number Chi CTR-ONC-11001875). Registered on 14 December 2011.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-021-01439-x.

What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis

PURPOSE

Studies have shown that a small percentage of ICU patients have prolonged length of stay (LoS) and account for a large proportion of resource use. Therefore, the identification of prolonged stay patients can improve unit efficiency. In this study, we performed a systematic review and meta-analysis to understand the risk factors of ICU LoS.

MATERIALS AND METHODS

We searched MEDLINE, Embase and Scopus databases from inception to November 2018. The searching process focused on papers presenting risk factors of ICU LoS. A meta-analysis was performed for studies reporting appropriate statistics.

RESULTS

From 6906 citations, 113 met the eligibility criteria and were reviewed. A meta-analysis was performed for six factors from 28 papers and concluded that patients with mechanical ventilation, hypomagnesemia, delirium, and malnutrition tend to have longer stay, and that age and gender were not significant factors.

CONCLUSIONS

This work suggested a list of risk factors that should be considered in prediction models for ICU LoS, as follows: severity scores, mechanical ventilation, hypomagnesemia, delirium, malnutrition, infection, trauma, red blood cells, and PaO2:FiO2. Our findings can be used by prediction models to improve their predictive capacity of prolonged stay patients, assisting in resource allocation, quality improvement actions, and benchmarking analysis.