Literature DB >> 35933605

Comparison of nutritional risk status assessment tools in predicting 30-day survival in critically ill COVID-19 pneumonia patients.

Umut Sabri Kasapoglu1, Abdullah Gok2, Leman Acun Delen2, Ayse Belin Ozer3.   

Abstract

BACKGROUND: Few clinical studies have addressed nutritional risk assessment in patients with COVID-19 pneumonia admitted to the intensive care unit (ICU).
OBJECTIVES: Assess the nutritional risk status of the critically ill COVID-19 pneumonia patients admitted to the ICU, and compare the nutritional risk screening tools.
DESIGN: Medical record review
SETTING: Tertiary critical care unit PATIENTS AND METHODS: We included adult (age >18 years) PCR-confirmed critically ill COVID-19 pneumonia cases admitted to the ICU between August 2020 and September 2021. Scoring systems were used to assess COVID-19 severity and nutritional status (mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002). The 30-day mortality prediction performance of nutritional scores and survival comparisons between clinical and demographic factors were assessed. MAIN OUTCOME MEASURES: Compare the nutrition risk tools SAMPLE SIZE: 281 patients with a mean (SD) age of 64.3 (13.3) years; 143 (50.8%) were 65 years and older.
RESULTS: The mean mNUTRIC score of the cases was 3.81 (1.66) and the mean NRS-2002 score was 3.21 (0.84.), and 101 (35.9%) were at high risk of malnutrition according to the mNUTRIC score and 229 (81.4%) according to the NRS 2002 score. In cases at high risk of malnutrition by the mNUTRIC score there was a greater need for invasive mechanical ventilation, vasopressors, and renal replacement therapy (P<.001 for all comparisons). The mNUTRIC score was superior to the NRS-2002 score in estimating 30-day mortality. In patients who died within 30 days, the mNUTRIC score and NRS-2002 score on the day of hospitalization were significantly higher (P<.001), and the proportion of patients with NRS-2002 score ≥3 and mNUTRIC score ≥5 was significantly higher in the non-surviving group (P<.001). In addition, patients with a high risk of malnutrition had a shorter survival time. The mNUTRIC score was an independent and important prognostic factor for 30-day mortality, and patients with an mNUTRIC score ≥5 had a 6.26-fold risk for 30-day mortality in the multivariate Cox regression.
CONCLUSION: One third of critical COVID-19 pneumonia cases hospitalized in the ICU due to acute respiratory failure have a high risk of malnutrition, and a high mNUTRIC score is associated with increased mortality. LIMITATIONS: Single center retrospective study. CONFLICT OF INTEREST: None.

Entities:  

Mesh:

Year:  2022        PMID: 35933605      PMCID: PMC9357296          DOI: 10.5144/0256-4947.2022.236

Source DB:  PubMed          Journal:  Ann Saudi Med        ISSN: 0256-4947            Impact factor:   1.707


INTRODUCTION

Acritical illness characterized by life-threatening respiratory failure can develop in approximately 14.1-33.0% of novel coronavirus disease 2019 (COVID-19) pneumonia patients.[1] Acute respiratory distress syndrome (ARDS) is one of the major complications in critically ill COVID-19 pneumonia patients, and is the main cause of the death.[1-3] ARDS, which is one of the most important causes of acute respiratory failure requiring mechanical ventilation support, is a hypercatabolic process that can cause a systemic inflammatory response, multi-organ dysfunction, hypermetabolism, malnutrition, and infectious complications. Hypercatabolism may lead to significant malnutrition and protein catabolism. Therefore, in patients with ARDS, standard supportive treatment should include adequate nutritional support.[4-6] Approximately 30-50% of hospitalized patients have signs of malnutrition. Similarly, it has been shown that 30% of patients who need mechanical ventilation have reduced oral intake and clinical signs of malnutrition, and 3% of the cases have weight-loss findings.[7] Malnutrition negatively affects pulmonary functions by causing a decrease in respiratory muscle strength, changing the ventilation capacity, and causing deterioration in immune system functions. More importantly, malnutrition is associated with increased mortality and morbidity in critically ill patients.[6-8] For this reason, nutritional risk assessment and early initiation of appropriate nutritional support constitute an important step in patient management in all critically ill patients admitted to the intensive care unit (ICU).[5,9] In the literature, the number of clinical studies on nutritional risk assessment in patients with COVID-19 pneumonia admitted to the ICU is limited. The present study aimed to assess the nutritional risk status of critically ill COVID-19 pneumonia patients admitted to the ICU due to acute respiratory failure, and investigate the comparison of the nutritional risk assessment scores in predicting 30-day survival in critically ill COVID-19 pneumonia.

PATIENTS AND METHODS

This single-center retrospective chart review included adult (>18 years) critically ill COVID-19 pneumonia patients admitted to a 14-bed adult tertiary COVID-19 ICU of Malatya Training and Research Hospital, Malatya, Turkey between August 2020 and September 2021. The definition of a confirmed COVID-19 case was a symptomatic patient with positive SARS-CoV-2 real-time reverse transcription-polymerase chain reaction from a nasopharyngeal and/or oropharyngeal swab, or lower respiratory tract sample. A COVID-19 pneumonia case was defined as a symptomatic confirmed COVID-19 patient with the typical pulmonary infiltrates on the computed tomography (CT) of the thorax. We used the Acute Physiology and Chronic Health Evaluation-II (APACHE-II) and Sequential Organ Failure Assessment (SOFA) scores for the assessment of the COVID-19 severity during the ICU admission. These scoring systems were calculated based on the worst laboratory and clinical findings observed during the first 24 hours following admission.[10,11] The protocol was approved by the Clinical Ethics Committee of Inonu University School of Medicine and fulfilled the Declaration of Helsinki (protocol no:2021/2460). We did not obtain informed consent due to the retrospective nature of the study. The nutritional status of patients was assessed according to the modified Nutrition Risk in Critically Ill (mNUTRIC) score and the Nutritional Risk Screening 2002 (NRS 2002) score within the first 48 hours of ICU admission. The mNUTRIC score includes the following six variables: age, number of the comorbidities, days from hospital to ICU admission, APACHE-II score, and SOFA score. Patients with mNUTRIC scores ≥5 were defined as at high nutritional risk.[12] The NRS 2002 score includes nutritional status, the severity of the disease, and advanced age. The patients with NRS2002 score ≥3 indicate a potential nutritional risk and patients with NRS2002 score ≥5 indicate high nutritional risk.[13-15] We collected and analyzed all demographic and clinical data, scores of the APACHE-II, SOFA, mNUTRIC, and NRS-2002, laboratory findings, types of respiratory support, types of nutrition support, ICU admission source, treatment options, hospital length of stay (LOS) before ICU admission, ICU length of stay (LOS) and 30-day mortality status. We followed up with all critically ill COVID-19 pneumonia patients during their ICU stay or until they died in the ICU. We have collected all 30-day mortality data from the hospital electronic medical record system. Statistical analyses were performed by using IBM SPSS version 22 (Armonk, New York, United States: IBM Corp). The distribution of the variables was evaluated by the Skewness-Kurtosis test. Normal and homogeneously distributed variables are given as mean and standard deviation (SD); otherwise, the data are given as median (min-max) values. The categorical variables are expressed as numbers and percentages. In the analysis of parametric data, the t test was used for independent variables, the Mann-Whitney-U test was used for non-parametric data, and the chi-square test was used for categorical data. The 30-day mortality prediction performances of the nutritional risk assessment tools were evaluated by calculating the area under (AUC) the receiver operating characteristic (ROC) curve. Kaplan-Meier analysis was used for the survival analysis with comparisons between groups tested for statistical significance using the log rank (Mantel-Cox) analysis. Cox regression analysis was used for the multivariate survival analysis. The results were evaluated at the 95% confidence interval and a value of P<.05 was accepted as statistically significant.

RESULTS

Of 283 critically ill COVID pneumonia patients admitted to our 14-bed tertiary COVID-19 ICU from August 2020 to September 2021, two were excluded due to pregnancy, leaving 281 patients in the analysis, including 167 (59.4%) males and 114 (40.6%) females (). The mean age was 64.3 (13.3 years) and 143 (50.8%) patients were 65 years of age or older. At least one co-morbid disease was present in 229 (81.5%) patients, including hypertension (70.8%), diabetes mellitus (42.3%), and coronary artery disease (CAD) (36.2%). The COVID-19 ward (63.3%) was the most frequent source of admission to the ICU. The mean (IQR) hospital length of stay before the ICU admission was 2.0 (4) days. Laboratory findings are shown in . Twenty-two (7.8%) patients received invasive mechanical ventilation support in the first 24 hours, and the prone position was applied in 121 (43.1%) patients. Baseline characteristics of critically ill COVID-19 pneumonia patients. APACHE-II: acute physiology and chronic health evaluation II, SOFA: sequential organ failure assessment, mNUTRIC: modified the nutrition risk in critically ill, NRS2002: nutritional risk screening 2002 Data are n (%) or mean (standard deviation) or median (interquartile range) and range. Baseline laboratory findings. Data are n (%) or mean (standard deviation) or median (interquartile range). The nutritional risk assessment of the patients was performed within the first 48 hours of admission to the ICU. The mean mNUTRIC score was 3.81 (1.66) and the mean NRS-2002 score was 3.21 (0.84) (). According to the mNUTRIC scores, 101 (35.9%) patients were at high risk for malnutrition (mNUTRIC score ≥5). According to the NRS-2002 score, 229 (81.4%) patients were at potential malnutrition risk (NRS-2002 score ≥3), while 44 (15.6%) patients were at high risk for malnutrition (NRS-2002 score ≥5). More importantly, it was determined that in cases with high nutritional risk (NRS2002 score ≥5 and mNUTRIC score ≥5), the requirement of invasive mechanical ventilation, vasopressor, and renal replacement therapy developed more frequently (P<.05) (). Nutrition risk assessment and nutrition support. Data are n (%) or mean (standard deviation) or median (interquartile range). mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002 Association between nutritional risk status of the patients and treatment options. Data are n (%). mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002 Within the first 30 days after ICU admission 142 (50.5%) patients died with statistically significant differences between the survivors and the non-survivors by age, hospital LOS before ICU admission, APACHE-II and SOFA score on the day of ICU admission, serum levels of albumin, and ferritin, and lactate (P<.05) (). mNUTRIC score and NRS-2002 scores on the day of ICU admission were significantly higher in patients who died within 30 days (P<.001 for both comparisons). The proportion of the patients with NRS-2002 score ≥3, NRS-2002 score ≥5, and mNUTRIC score ≥5 were higher in the non-survivors group (P<.001 for both comparisons) (). For ICU mortality prediction, the mNUTRIC score was superior to the NRS-2002 score (). Assessment of the factors affecting 30-day overall mortality in the univariate survival analysis showed that patients of older age and with hypoalbuminemia, an NRS-2002 score ≥3, an NRS-2002 score ≥5, and an mNUTRIC score ≥5 had statistically significant shorter survival times () (). Also, multivariate Cox regression survival analysis revealed that mNUTRIC score and NRS-2002 were significant and independent prognostic factors for 30-day overall mortality in critically ill COVID-19 patients (P<.001, P=.020). Patients with NRS-2002 ≥3 and mNUTRIC score ≥5 were associated with 2.30 and 6.22-fold higher 30-day mortality rate (). Receiver operating characteristic (ROC) curves of NRS-2002 and mNUTRIC scores predicting 30-days ICU mortality. AUC: area under curve, NRS-2002: nutritional risk screening 2002, modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002. Univariate and Cox multivariate survival analysis of the factors. mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002 Kaplan–Meier curves (95% confidence limits) for survival time for critically ill COVID-19 pneumonia patients (comparison by log rank test). The effect of patient age (P<.001), serum albumin (P=.031), presence of comorbidity (P=.002), NRS-2002 score <3 (P<.001), NRS-2002 score <5 (P<.001) and mNUTRIC score (P<.001). NRS-2002: Nutritional Risk Screening 2002, mNUTRIC: modified the Nutrition Risk In Critically Ill.

DISCUSSION

In the present study, 101 (35.9%) critical COVID-19 cases admitted to the ICU were at high nutritional risk (mNUTRIC score ≥5). In addition, mNUTRIC score was superior to the NRS-2002 score in estimating 30-day mortality in critically ill COVID-19 pneumonia cases. More importantly, it was shown that the mNUTRIC score was an independent and important prognostic factor for 30-day mortality, and cases with mNUTRIC score ≥5 were at a 6.22-fold higher risk for 30-day mortality in a multivariate analysis. Pneumonia is the most serious and most common clinical manifestation of COVID-19 and can develop in approximately 15-20% of COVID-19 cases, while ARDS is an important complication of COVID-19 pneumonia and the main cause of mortality. Since it has been shown that severe pneumonia cases are at risk of protein-energy malnutrition, which causes deterioration in contractility of respiratory muscles and immune system functions, appropriate nutritional support is an important part of critical management in this patient group. In addition, critical COVID-19 cases hospitalized in the ICU or those who died are at high risk of malnutrition due to a marked increase in metabolic rate resulting from the high viral load and increased inflammatory response.[2,3,16,17] Nutritional support is an important part of the treatment during the long treatment period in critical COVID-19 cases. Nutritional support reduces cellular oxidative damage, regulates the immune response, and can prevent the negative effects of metabolism on the disease, as well as meeting the macronutrient needs of the patient.[9,16] For this reason, screening for risk of malnutrition is recommended to determine the need for appropriate nutritional support in cases of COVID-19 pneumonia.[18] In the present study, 101 (35.9%) patients were at high risk of malnutrition (mNUTRIC score ≥5) according to the mNUTRIC score, while 229 (81.4%) patients were at potential malnutrition risk (NRS-2002 score ≥3) according to the NRS-2002 score and 44 (15.6%) patients were at high risk (NRS-2002 score ≥5) of malnutrition. Defining malnutrition in critically ill patients has always been difficult. However, the nutritional risk is easily identified by evaluating the patient's basal nutritional status and determining the severity of the disease. Therefore, all hospitalized patients should be screened for nutritional risk within 48 hours of admission. Critically ill patients with high nutritional risk should be evaluated in detail in terms of nutritional risk. Although many screening tools are used to evaluate nutritional status, only NRS-2002 and mNUTRIC scores help to determine both nutritional status and disease severity in critically ill patients and can be used to detect nutritional risk. The NRS-2002 or mNUTRIC scores are recommended to determine the nutritional risk status of all critically ill patients admitted to the ICU and to determine which patients are likely to benefit from early enteral nutrition.[9,19-22] On the other hand, the European Society for Clinical Nutrition and Metabolism (ESPEN) guide, published in 2019, emphasized that there is no standard method to identify the patient at risk for malnutrition and the critically ill patient with malnutrition. It is recommended that a general clinical evaluation including history, weight loss, or decrease in physical performance before admission to the ICU, physical examination, and evaluation of muscle mass and strength should be performed until a best practice is developed by ESPEN to determine the nutritional status of critically ill patients.[5] Few clinical studies have evaluated the nutritional risk status and its relationship with mortality in critical cases of COVID-19 pneumonia. In clinical studies evaluating the nutritional risk status in critical COVID-19 cases it has been shown that 38.9-66% of the cases are at high malnutrition risk (mNUTRIC score ≥5 points) according to the mNUTRIC score at admission to the ICU. In addition, it has been shown that a high risk of malnutrition (mNUTRIC score ≥5 points) on admission to ICU in critical COVID-19 cases is associated with increased mortality.[16,23,24] Zhao et al evaluated the relationship between nutritional risk status and clinical outcomes in severe and critical COVID-19 cases and reported that 92% of the cases were at malnutrition risk (NRS-2002 ≥3 points), and 16% were at high malnutrition risk (NRS-2002 ≥5 points). They also showed that critical COVID-19 cases with a high NRS-2002 score have a higher risk of mortality and a longer hospital stay. More importantly, they showed that each point increase in the NRS-2002 score caused a 1.23-fold increase in mortality.[25] Similarly, Li et al reported that severe and critical COVID-19 cases were at high risk of malnutrition, COVID-19 cases with a high NRS-2002 score were at a higher risk of poor survival outcomes, and the mNUTRIC score was an independent predictor of the risk of mortality and length of stay in the ICU in critical COVID-patients.[16] In addition, critical COVID-19 pneumonia cases with high malnutrition risk during admission to the ICU have a higher need for invasive mechanical ventilation support and vasopressor use.[24] In our study, 101 (35.9%) critical COVID-19 patients admitted to the ICU were at high risk for malnutrition according to the mNUTRIC score (mNUTRIC score ≥5), while 44 (15.6%) patients were at high risk for malnutrition according to the NRS-2002 score (NRS-2002 score ≥5). More importantly, the mNUTRIC score and NRS-2002 score on the day of ICU admission were significantly higher in patients who died within 30 days. In addition, NRS-2002 ≥3 and mNUTRIC score ≥5 were associated with 2.30 and 6.22-fold higher 30-day mortality rates, respectively. In the present study, we found that one-third of critical COVID-19 pneumonia cases admitted to the ICU due to ARDS had a high risk of malnutrition. Higher nutritional risk was associated with an increased risk of 30-days of ICU mortality in critically ill COVID-19 pneumonia patients. In addition, the mNUTRIC score was the most significant and independent prognostic factor in critically ill COVID-19 pneumonia patients. Therefore, the mNUTRIC score can be used for the assessment of nutritional risk status and prediction of prognosis. Our study was limited in that it was a single-center retrospective chart review and the sample size, not predetermined a priori, was relatively small. Also, the impact of nutrition support on survival was not evaluated in the present study.
Table 1.

Baseline characteristics of critically ill COVID-19 pneumonia patients.

All patients (n=281)Survivors (n=139)Non-survivors (n=142)P value
Mean age (years)64.3 (13.3)60.0 (12.8)68.4 (12.4) <.001
Aged ≥65 years
 Yes143 (50.8)54 (38.8)89 (62.6) <.001
 No138 (49.2)85 (61.2)53 (37.4)
Gender
 Male167 (59.4)77 (55.3)90 (63.3).173
 Female114 (40.6)62 (44.7)52 (36.7)
At least one comorbidity
 Yes229 (81.5)103 (74.1)126 (88.7) .002
 No52 (18.5)36 (25.9)16 (11.3)
Comorbid disease
 Hypertension199 (70.8)83 (59.7)116 (81.6) <.001
 Diabetes mellitus119 (42.3)59 (42.4)60 (42.2).974
 Coronary artery disease102 (36.2)35 (25.1)67 (47.1) <.001
 Chronic obstructive pulmonary disease45 (16.0)16 (11.5)29 (20.4) .042
 Dementia37 (13.1)11 (7.9)26 (18.3) .010
 Chronic heart failure35 (12.4)16 (11.5)19 (13.3).635
 Arrhythmia24 (8.5)11 (7.9)13 (9.1).710
 Cerebrovascular disease19 (6.7)9 (6.4)10 (7.0).850
 Chronic kidney disease14 (4.9)7 (50.3)7 (4.9).967
 Rheumatological diseases13 (4.6)6 (4.3)7 (4.9).807
 Malignancy8 (2.8)3 (2.1)5 (3.5).492
 Median hospital LOS before ICU admission (days)2.0 (4.0), 0−192, 0−191, 0−17 .029
Admission source
 COVID-19ward178 (63.3)79 (56.9)99 (69.8) .025
 Hospital emergency department103 (36.7)60 (43.1)43 (30.2)
APACHE-II scores17.50 (4.27)15.24 (3.36)19.71 (3.91) <.001
SOFA score4.43 (1.32)3.91 (1.05)4.94 (1.36) <.001

APACHE-II: acute physiology and chronic health evaluation II, SOFA: sequential organ failure assessment, mNUTRIC: modified the nutrition risk in critically ill, NRS2002: nutritional risk screening 2002

Data are n (%) or mean (standard deviation) or median (interquartile range) and range.

Table 2.

Baseline laboratory findings.

All patients (n=281)Survivors (n=139)Non-survivors (n=142)P value
Hemogram
 Hemoglobin (g/dL)12.9 (1.96)12.86 (1.85)12.93 (2.06).778
 Hematocrit (%)38.80 (21.70−57.40)38.80 (22.90−50.10)38.90 (21.70−57.40).735
 White blood cells (103/μL)11.96 (6.01)11.39 (5.94)12.51 (6.04).118
 Neutrophils (lO3/μL)10.67 (5.09)9.69 (4.68)11.63 (5.30) .001
 Lymphocytes (103/μL)0.88 (0.70)0.96 (0.66)0.80 (0.74) .073
 Platelets (103/μL)260 (112)268 (109)253 (115).262
Biochemical parameters
 Glomerular filtration rate (mlVmin/1.73 m2)89.79 (89.99)103.83 (121.60)76.05 (35.01) .009
 Aspartate aminotransferase (U/L)43 (10−1672)42 (10−1672)47 (12.570) .032
 Alanine aminotransferase (U/L)32 (6−814)30 (6−814)34 (6−620).268
 Creatine kinase (U/L)114 (14−1705)101 (14−1705)123 (23−1542) .024
 Lactate dehydrogenase (IU/L)621.67 (309.95)560.61 (261)681.43 (310.90) .001
 Total bilirubin (mg/dL)0.57 (0.07−4.22)0.51 (0.10−2.01)0.60 (0.07−4.22) .070
 Albumin (g/dL)2.74 (0.45)2.83 (0.47)2.66 (0.41) .001
 Troponin (ng/mL)0.32 (0.78)0.28 (0.65)0.36 (0.90).395
 N-terminal prohormone of brain natriuretic peptide (pg/mL)1046 (1−35000)781 (1−35000)1274 (44−35000) .003
Coagulation and inflammation parameters
 International normalized ratio1.20 (0.79−3.40)1.19 (0.82−3.40)1.22 (0.79−3.11) .006
 Fibrinogen (ng/dL)512.05 (188.22)509.53 (185.59)514.53 (191.38).824
 D-dimer (μg/mL)1.28 (0.01−34.20)1.13 (0.01−21.30)1.37 (0.01−34.20).144
 Ferritin (ng/dL)852.62 (637.19)719.81 (603.65)983.55 (644.33) <.001
 C-reactive protein (mg/dL)12.71 (8.40)12.11 (9.00)13.30 (7.77).236
 Procalcitonin (ng/mL)0.23 (0.02−8.46)0.19 (0.02−3.40)0.32 (0.02−8.46) .002
ABG analysis
 PH7.42 (0.49)7.43 (0.07)7.42 (0.07).261
 PO2, (mmhg)86.47 (31.99)90.70 (37.17)82.32 (25.38) .028
 PCO2, (mmhg)35.60 (8.42)36.19 (9.09)35.03 (7.70).250
 HC03, (mEq/L)23.70 (10.90−42.00)24.60 (12.20−42.00)23.30 (10.90−37.80) .032
 Lactate, (mmol/L)1.80 (0.40−16.00)1.70 (0.40−4.70)2.00 (0.60−16.00) .001
 SaO2, (%)95 (45.00−100.00)95 (45.00−100.00)94 (62.00−99.00) .002

Data are n (%) or mean (standard deviation) or median (interquartile range).

Table 3.

Nutrition risk assessment and nutrition support.

All patients (n=281)Survivors (n=139)Non-survivors (n=142)P value
mNUTRIC score3.81 (1.66)2.91 (1.47)4.71 (1.32) <.001
NRS−2002 score3.21 (0.84)2.91 (0.76)3.50 (0.81) <.001
Median (min-max) body mass index (kg/m2)26.6 (18.0−43.2)26.8 (18.0−38.1)26.3 (19.5−43.2).143
NRS−2002 score ≥3
 Yes229 (81.4)97 (69.7)132 (92.9) <.001
 No52 (18.6)42 (30.3)10 (7.1)
NRS−2002 score ≥5
 Yes44 (15.6)10 (7.2)34 (24.0) <.001
 No237 (84.4)129 (92.8)108 (76.0)
mNUTRIC score ≥5
 Yes101 (35.9)13 (9.3)88 (61.9) <.001
 No180 (64.1)126 (90.7)54 (38.1)

Data are n (%) or mean (standard deviation) or median (interquartile range). mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002

Table 4.

Association between nutritional risk status of the patients and treatment options.

Requirement of invasive mechanical ventilationUse of vasopressorRequirement of renal replacement therapy
YesNoP valueYesNoP valueYesNoP value
mNUTRIC score
 ≥568 (76.4)21 (23.6) <.001 83 (82.1)18 (17.9) <.001 17 (16.8)84 (83.2) <.001
 <564 (37.4)107 (62.6)65 (36.1)115 (63.9)5 (2.7)175 (97.3)
NRS−2002 score
 ≥3124 (59.6)84 (40.4) <.001 7 (7.3)88 (92.7) <.001 20 (8.7)209 (91.3).187
 <38 (15.3)44 (84.7)141 (75.8)45 (24.2)2 (3.8)50 (96.2)
NRS−2002 score
 ≥527 (69.2)12 (30.8) .012 33 (75.0)11 (25.0) .001 8 (18.1)36 (81.9) .005
 <5105 (47.5)116 (52.5)115 (48.5)122 (51.5)14 (5.9)223 (94.1)

Data are n (%). mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002

Table 5.

Univariate and Cox multivariate survival analysis of the factors.

Univariate analysisMultivariate analysis
Mean survival time (days)95% CIP valueCoefficient (B)SEWaldHazard ratio95% CIP value
Age
 <65 years22.95 (0.85)21.28−24.62 <.001 −0.6800.2328.6230.5070.322−0.798 .003
 ≥65 years18.83 (0.84)17.18−20.49
NRS−2002 score
 ≥319.48 (0.68)18.14−20.83 <.001 0.8330.3575.4482.3011.143−4.634 .020
 <326.90 (0.97)24.98−28.82
NRS−2002 score
 ≥515.88 (1.47)12.99−18.77 <.001 0.0310.2230.0201.0320.667−1.597.888
 <521.78 (0.65)20.49−23.07
mNUTRIC score
 ≥513.26 (0.87)11.54−14.98 <.001 1.8290.23162.825 6.227 3.962−9.787 <.001
 <525.12 (0.62)23.89−26.35
At least one comorbidity
 Yes19.88 (0.68)18.53−21.22 .002 0.3320.2781.4271.3930.809−2.401.232
 No25.17 (1.18)22.84−27.50

mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002

  24 in total

1.  Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials.

Authors:  Jens Kondrup; Henrik Højgaard Rasmussen; Ole Hamberg; Zeno Stanga
Journal:  Clin Nutr       Date:  2003-06       Impact factor: 7.324

2.  Impact of preoperative nutritional support on clinical outcome in abdominal surgical patients at nutritional risk.

Authors:  Bin Jie; Zhu-Ming Jiang; Marie T Nolan; Shai-Nan Zhu; Kang Yu; Jens Kondrup
Journal:  Nutrition       Date:  2012-06-05       Impact factor: 4.008

3.  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.).

Authors:  Stephen A McClave; Beth E Taylor; Robert G Martindale; Malissa M Warren; Debbie R Johnson; Carol Braunschweig; Mary S McCarthy; Evangelia Davanos; Todd W Rice; Gail A Cresci; Jane M Gervasio; Gordon S Sacks; Pamela R Roberts; Charlene Compher
Journal:  JPEN J Parenter Enteral Nutr       Date:  2016-02       Impact factor: 4.016

Review 4.  Enteral Nutrition in the Mechanically Ventilated Patient.

Authors:  Karen Allen; Leah Hoffman
Journal:  Nutr Clin Pract       Date:  2019-02-11       Impact factor: 3.080

5.  Malnutrition, Critical Illness Survivors, and Postdischarge Outcomes: A Cohort Study.

Authors:  Kris M Mogensen; Clare M Horkan; Steven W Purtle; Takuhiro Moromizato; James D Rawn; Malcolm K Robinson; Kenneth B Christopher
Journal:  JPEN J Parenter Enteral Nutr       Date:  2017-12-18       Impact factor: 4.016

6.  Identifying critically-ill patients who will benefit most from nutritional therapy: Further validation of the "modified NUTRIC" nutritional risk assessment tool.

Authors:  Adam Rahman; Rana M Hasan; Ravi Agarwala; Claudio Martin; Andrew G Day; Daren K Heyland
Journal:  Clin Nutr       Date:  2015-01-28       Impact factor: 7.324

Review 7.  Nutrition screening tools for hospitalized patients.

Authors:  Patricia S Anthony
Journal:  Nutr Clin Pract       Date:  2008 Aug-Sep       Impact factor: 3.080

8.  The prevalence of sarcopenia in patients with respiratory failure classified as normally nourished using computed tomography and subjective global assessment.

Authors:  Patricia M Sheean; Sarah J Peterson; Sandra Gomez Perez; Karen L Troy; Ankur Patel; Joy S Sclamberg; Folabomi C Ajanaku; Carol A Braunschweig
Journal:  JPEN J Parenter Enteral Nutr       Date:  2013-08-26       Impact factor: 4.016

9.  Nutritional risk and therapy for severe and critical COVID-19 patients: A multicenter retrospective observational study.

Authors:  Gang Li; Chen-Liang Zhou; Yuan-Ming Ba; Ye-Ming Wang; Bin Song; Xiao-Bin Cheng; Qiu-Fen Dong; Liu-Lin Wang; Sha-Sha You
Journal:  Clin Nutr       Date:  2020-10-01       Impact factor: 7.324

Review 10.  Nutrition guidelines for critically ill adults admitted with COVID-19: Is there consensus?

Authors:  Lee-Anne S Chapple; Oana A Tatucu-Babet; Kate J Lambell; Kate Fetterplace; Emma J Ridley
Journal:  Clin Nutr ESPEN       Date:  2021-05-25
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