Effects of nutrition factors on mortality and sepsis occurrence in a multicenter university-based surgical intensive care unit in Thailand (THAI-SICU study)

Auiwattanakul, Supakrit; Chittawatanarat, Kaweesak; Chaiwat, Onuma; Morakul, Sunthiti; Kongsayreepong, Suneerat; Ungpinitpong, Winai; Yutthakasemsunt, Surakrant; Buranapin, Supawan

doi:10.1016/j.nut.2018.06.021

Cited by 18 publications

(16 citation statements)

References 14 publications

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“…A catabolic condition leads to a reduction in muscle mass [38] is related to increased hospitalization period and mortality [14]. This metabolic effect is also veri ed in an experimental sepsis model [9, 10, 39], and the results found in our study (Fig.…”

Section: Discussionsupporting

confidence: 84%

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Adapted Murine Sepsis Score: Improving The Research In Experimental Sepsis Mice Model

Sulzbacher

Passos

et al. 2020

Preprint

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Objective The Murine Sepsis Score (MSS) is used to assess the severity of sepsis in rats and mice based on observational characteristics. The quantitative variables of blood glucose, body weight and temperature are predictors of severity in experimental models of sepsis. Therefore, our study sought to adapt the MSS with the same variables to indicate earlier the severity of the disease in murine models of the disease. Results Sepsis mice presented hypoglycemia, weight loss, and hypothermia. Therefore, these variables were included in the Adapted Murine Sepsis Score (A-MSS). The A-MASS presented 100% specificity and 87.5% sensibility been able to differentiate the early sepsis symptoms and its severity. The A-MSS allows an early and more complete diagnosis of sepsis in mice and might be considered as a procedure to improve the analysis of systemic sepsis dysfunction in murine experimental models.

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Section: Discussionsupporting

confidence: 84%

“…Patients and animals with sepsis may present hypothermia [11,12], hypoglycemia [9,13], body weight loss [14], and hematological alterations [15]. Also, early identi cation of sepsis is a well-known, relevant procedure to allow successful treatment of the disease [16].…”

Section: Introductionmentioning

confidence: 99%

Adapted Murine Sepsis Score: Improving The Research In Experimental Sepsis Mice Model

Sulzbacher

Passos

et al. 2020

Preprint

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“…Nutrition risk assessed by the NRS‐2002 tool alone has been shown to be associated with nutrition factors and unfavorable clinical outcomes . A study in critically ill patients admitted to an ICU in Thailand evaluated the effects of nutrition risk on the occurrence of sepsis and mortality . Nutrition risk (score ≥ 3) was found to be associated with death ( P < .001) and septic shock ( P < .001) .…”

Section: Discussionmentioning

confidence: 99%

“…A study in critically ill patients admitted to an ICU in Thailand evaluated the effects of nutrition risk on the occurrence of sepsis and mortality . Nutrition risk (score ≥ 3) was found to be associated with death ( P < .001) and septic shock ( P < .001) . A recent evaluation of NRS‐2002 cutoffs for ICU patients recommended in the American Society for Parenteral and Enteral Nutrition (ASPEN) guidelines showed that they were capable of distinguishing between critically ill patients in terms of clinical characteristics and outcomes .…”

Section: Discussionmentioning

confidence: 99%

NUTRIC Score: Isolated and Combined Use With the NRS‐2002 to Predict Hospital Mortality in Critically Ill Patients

Reis

Marchetti

Santos

et al. 2020

J Parenter Enteral Nutr

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Background Identification of nutritional risk in critically ill patients is a challenge because each nutritional screening tool has its specific characteristics. The objective was to evaluate the performance of the modified Nutrition Risk in Critically ill (mNUTRIC) score, used alone or in combination with the Nutritional Risk Screening 2002 (NRS‐2002) score, to predict hospital mortality in critically ill patients. Methods A prospective study was performed with patients admitted to the intensive care unit (ICU) from October 2017 to April 2018. Multiple logistic regression analysis was used to test for complementarity between the mNUTRIC and NRS‐2002. A receiver operating characteristic (ROC) curve was used to identify the performance of the instruments to predict mortality. This study was conducted in accordance with the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) statement. Results 384 patients were evaluated (51.8% female mean age 59.6 ± 16.7 years). High nutritional risk was detected in 54.4% by the NRS‐2002 and 48.4% by mNUTRIC. The overall mortality rate was 36.5% (n = 140). Patients in whom nutritional risk was identified both by mNUTRIC and by NRS‐2002 (score ≥5) had a twofold greater risk of in‐hospital mortality (RR = 2.29; 95%CI: 1.42–3.68; p = 0.001). The area under the ROC curve to predict mortality was 0.693 for mNUTRIC; 0.645 for NRS‐2002; and 0.666 for mNUTRIC and NRS‐2002 combined. Conclusions The mNUTRIC and NRS‐2002 scores had similar performance in predicting hospital mortality. The mNUTRIC has better discriminant ability to quantify the risk of mortality in critically ill patients.

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“…[3] In addition, a further study on the same population demonstrated that the combination of EN and parenteral nutrition (PN) demonstrated a protective effect on mortality. [4] There have been several recommendations on medical nutrition therapy for ICU patients. [5,6] Recently, the European Society for Parenteral and Enteral Nutrition [7] published revised guidelines for clinical nutrition in ICUs.…”

Section: Introductionmentioning

confidence: 99%

The implementation of a nutrition protocol in a surgical intensive care unit; a randomized controlled trial at a tertiary care hospital

et al. 2020

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Background Malnutrition in critically ill patients is linked with significant mortality and morbidity. However, it remains controversial whether nutrition therapy protocols are effective in improving clinical outcomes. The present study aimed to evaluate the effectiveness of a surgical ICU nutrition protocol, and to compare the hospital mortality, hospital LOS, and ICU LOS of protocol and non-protocol groups. Methods A randomized controlled trial was conducted at the Surgical ICU, Siriraj Hospital. The nutrition administration of the control group was at the discretion of the attending physicians, whereas that of the intervention group followed the "Siriraj Surgical ICU Nutrition Protocol". Details of the demographic data, nutritional data, and clinical outcomes were collected.

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Effects of nutrition factors on mortality and sepsis occurrence in a multicenter university-based surgical intensive care unit in Thailand (THAI-SICU study)

Cited by 18 publications

References 14 publications

Adapted Murine Sepsis Score: Improving The Research In Experimental Sepsis Mice Model

Adapted Murine Sepsis Score: Improving The Research In Experimental Sepsis Mice Model

NUTRIC Score: Isolated and Combined Use With the NRS‐2002 to Predict Hospital Mortality in Critically Ill Patients

The implementation of a nutrition protocol in a surgical intensive care unit; a randomized controlled trial at a tertiary care hospital

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