The contribution of ascitic fluid to body weight in patients with liver cirrhosis, and its estimation using girth: a cross-sectional observational study

Identifying nutrition risk in emergency patients: What is the most appropriate screening tool?

BACKGROUND

The emergency department (ED) is the most frequent access route to the hospital. Nutrition risk (NR) screening allows the early identification of patients at risk of malnutrition. This study aimed to evaluate the feasibility and predictive validity of five different tools in EDs: Nutritional Risk Screening 2002 (NRS-2002), Nutritional Risk Emergency 2017 (NRE-2017), Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT), Malnutrition Universal Screening (MUST), and Malnutrition Screening Tool (MST).

METHODS

Patients with scores ≥3 according to the NRS-2002, ≥1.5 according to the NRE-2017, and ≥2 according to the MUST, RFH-NPT, or MST were classified with NR. Prolonged length of stay (LOS) and 1-year mortality were evaluated.

RESULTS

431 patients were evaluated (57.31 ± 15.6 years of age; 54.4% women) in a public hospital in southern Brazil. The prevalence of NR was: 35% according to the NRS-2002, 43% according to the MST, 45% according to the NRE-2017 and MUST, and 49% according to the RFH-NPT. Patients with NR, had a greater risk of prolonged LOS (P < 0.001). The presence of NR was associated with an increased risk of 1-year mortality according to the NRS-2002 (hazard ratio [HR]: 4.04; 95% CI, 2.513-6.503), MST (HR: 2.60; 95% CI, 1.701-3.996), NRE-2017 (HR: 4.82; 95% CI, 2.753-8.443), MUST (HR: 4.00; 95% CI, 2.385-6.710), and RFH-NPT (HR: 5.43; 95% CI, 2.984-9.907).

CONCLUSIONS

NRE-2017 does not require objective data and presented predictive validity for all outcomes assessed, regardless of the severity of the disease, and thus appears to be the most appropriate tool for carrying out NR screening in the ED.

Comparison of abdominal adipose tissue versus body mass index (BMI) as a predictor of complications and survival in liver transplantation

INTRODUCTION

Because of the obesity epidemic, more obese patients are on liver transplant (LT) waiting lists. The diseases associated with obesity may increase complications and limit survival after LT. However, there is no established measure or cut-off point to determine this impact and aid decision making. The aim of the present study is to evaluate obesity in patients undergoing LT via BMI and CT-based measurement of adipose tissue (AAT). These parameters will be used to predict the risk of postoperative complications and 5-year survival.

METHODS

A retrospective, single-center study was carried out at a tertiary Spanish hospital, including all patients who received LT between January 2012 and July 2019 (n = 164). The patients were adults who underwent LT using the 'piggyback' technique, preserving the recipient vena cava. Visceral adipose tissue (VAT) and BMI were calculated to examine correlations with postoperative complications and 5-year survival.

RESULTS

No significant association was found between postoperative complications by Comprehensive Complication Index, BMI, AAT/height, subcutaneous fat/height and VAT/height. Kaplan-Meier curves for 5-year survival compared LT recipients with BMI < 30.45 versus ≥30.45, with an estimated survival of 58.97 months versus 43.11 months, respectively (P < .001) (Fig. 3) and for LT recipients with an AAT/height <27.35 mm versus ≥27.35 mm, with an estimated survival of 57.69 months versus 46.34 months (P = .001).

CONCLUSIONS

This study does not show a higher rate of postoperative complications in obese patients. There is a significantly lower long-term survival in patients with AAT/height ≥27.35 mm and BMI ≥ 30.45. BMI is a valid estimate of obesity and is predictive of survival.

Estimating risk of prolonged mechanical ventilation after liver transplantation in children: PROVE-ALT score

BACKGROUND

Children at high risk for prolonged mechanical ventilation (PMV) after liver transplantation (LT) need to be identified early to optimize pulmonary support, allocate resources, and improve surgical outcomes. We aimed to develop and validate a metric that can estimate risk for Prolonged Ventilation After LT (PROVE-ALT).

METHODS

We identified preoperative risk factors for PMV by univariable analysis in a retrospective cohort of pediatric LT recipients between 2011 and 2017 (n = 205; derivation cohort). We created the PROVE-ALT score by mapping multivariable logistic regression coefficients as integers, with cutoff values using the Youden Index. We validated the score by C-statistic in a retrospectively collected separate cohort of pediatric LT recipients between 2018 and 2021 (n = 133, validation cohort).

RESULTS

Among total 338 patients, 21% (n = 72) were infants; 49% (n = 167) had cirrhosis; 8% (n = 27) required continuous renal replacement therapy (CRRT); and 32% (n = 111) required management in hospital (MIH) before LT. Incidence of PMV post-LT was 20% (n = 69) and 3% (n = 12) required tracheostomy. Independent risk factors (OR [95% CI]) for PMV were cirrhosis (3.8 [1-14], p = .04); age <1-year (8.2 [2-30], p = .001); need for preoperative CRRT (6.3 [1.2-32], p = .02); and MIH before LT (12.4 [2.1-71], p = .004). PROVE-ALT score ≥8 [Range = 0-21] accurately predicted PMV in the validation cohort with 73% sensitivity and 80% specificity (AUC: 0.81; 95% CI: 0.71-0.91).

CONCLUSION

PROVE-ALT can predict PMV after pediatric LT with a high degree of sensitivity and specificity. Once externally validated in other centers, PROVE-ALT will empower clinicians to plan patient-specific ventilation strategies, provide parental anticipatory guidance, and optimize hospital resources.

Body mass index is not associated with time on veno-venous extracorporeal membrane oxygenation or in-hospital mortality

Morbid obesity, as characterized by BMI, is often utilized as an exclusion criterion for VV-ECMO because of presumed poor prognosis and technically complex cannulation. However, the "obesity paradox" suggests obesity may be protective during critical illness, and BMI does not capture variations in body type, adiposity, or fluid balance. This study examines relationships between BMI and patient outcomes. Adult VV-ECMO patients with BMI ≥ 35 kg/m2 admitted January 2012 to June 2021 were identified from an institutional registry. BMI and outcomes were analyzed with Mann-Whitney U tests and Pearson correlations with Bayesian post-hoc analyses. 116 of 960 ECMO patients met inclusion criteria. Median (Q1, Q3) BMI was 42.3 (37.3, 50.8) and min, max of 35.0, 87.8 with 9.0 (5.0, 15.5) ECMO days. BMI was not significantly correlated with ECMO days (r = -0.102; p = .279). Bayesian analyses showed moderate evidence against BMI correlating with ECMO days. In-hospital mortality (27%) was significantly associated with ECMO days (p = .014) but not BMI (p = .485). In this cohort of high-BMI patients, BMI was not associated with survival or time on ECMO. BMI itself should not be used as an exclusion criterion for VV-ECMO.

Predicting dry weight in patients with cirrhotic ascites undergoing large-volume paracentesis

BACKGROUND & AIMS

Ascites impairs the correct diagnosis and nutritional management in patients with cirrhosis, because the body weight, which is needed for nutritional assessment and calculation of nutritional needs, is overestimated. To adjust the weight in patients with ascites, dietetic guidances indicate substracting 2.2-14 kg or 5-15% of the measured body weight according to the degree of ascites, however, there is a lack of evidence to substantiate these values. The aim of this study was to develop new prediction equations to estimate the dry weight, comparing them with the currently used weight adjustments in patients with refractory cirrhotic ascites.

METHODS

Cross-sectional study, that included patients with decompensated cirrhosis undergoing large-volume paracentesis. Patients were submitted to nutritional risk screening, nutritional assessment, and anthropometric measurements that included body weight, abdominal circumference (both measured before and after paracentesis) height, and upper mid-arm circumference. The volume of ascitic fluid drained was also registered. For the predictions of dry weight, linear regression models were performed using as predictor variables: height, pre-paracentesis weight, pre-paracentesis abdominal circumference, or mid-upper arm circumference, and as response variable: post-paracentesis weight. The capacity of these models to predict the post-paracentesis weight was evaluated by comparing it with the currently used predictions through the intraclass correlation coefficient (ICC) and the mean squared error (MSE).

RESULTS

Nineteen patients were included, 15 male, and 18 with high nutritional risk and malnutrition. The difference between post-paracentesis weight and pre-paracentesis weight was -5.0 (-3.6 to -9.9) kg, similar to ascitic fluid volume drained. Two equations were developed to predict post-paracentesis weight. ICC values showed that both prediction equations were strongly correlated (r > 0.94) with post-paracentesis weight. Our models also showed lower MSEs (<17.97), compared with the current predictions (MSEs <64.19, when the pre-paracentesis weight is adjusted from absolute values and MSEs <33.24 when adjusted from percentage values), indicating a more accurate prediction.

CONCLUSION

The predictive equations from this study may be better options for dry weight estimation in patients with refractory cirrhotic ascites since they showed higher reliability compared to the currently used weight adjustment. External validation in a larger sample is still needed to confirm the clinical applicability of these equations.

Measurement of mid-arm circumference as a starting point for nutritional assessment of patients with decompensated cirrhosis: A prospective cohort study

BACKGROUND

The mid-arm circumference (MAC) is an accessible, quick, and inexpensive measurement, which can be performed at the bedside only with a measuring tape. In this sense, the present study aims to suggest MAC cut-off values to assess the nutritional status and its association with mortality of hospitalised patients with decompensated cirrhosis.

METHODS

A prospective cohort study was performed with decompensated cirrhotic patients. Nutritional status was assessed by MAC and Subjective Global Assessment (SGA). Considering the SGA as the reference standard and based on receiver operating characteristic curve analysis, the MAC cut-off values with the best sensitivity and specificity were selected. Predictors of mortality were identified using multivariate analysis.

RESULTS

The study included 100 patients with a mean ± SD age of 60.1 ± 10.3 years. The median follow-up time was 11.2 months and overall mortality was 60%. Considering malnutrition assessed by SGA as the reference standard, the area under the curve of MAC for women and men was 0.947 (95% confidence interval [CI] = 0.878-1.000) and 0.813 (95% CI = 0.694-0.932). The MAC cut-off values of ≤ 28 cm for women and ≤ 30 cm for men reached a sensitivity and specificity of 85.5% and 71%, respectively. According to multivariate analysis, a low MAC was significantly associated with mortality (hazard ratio = 2.41; 95% CI = 1.20-4.84).

CONCLUSIONS

The MAC cut-off values had satisfactory accuracy for men and women in predicting malnutrition. Additionally, a low MAC was an independent predictor of mortality. Thus, these MAC cut-off values can be used as the first step of nutritional assessment to prioritise patients who require more detailed assessment.