Decision tree model for early use of semi-elemental formula versus standard polymeric formula in critically ill Malaysian patients: A cost-effectiveness study.

BACKGROUND: Prevention of enteral feeding interruption (EFI) improves clinical outcomes of critically ill intensive care unit (ICU) patients. This leads to shorter ICU stays and thereby lowers healthcare costs. This study compared the cost of early use of semi-elemental formula (SEF) in ICU vs standard polymeric formula (SPF) under the Ministry of Health (MOH) system in Malaysia. METHODS: A decision tree model was developed based on literature and expert inputs. An epidemiological projection model was then added to the decision tree to calculate the target population size. The budget impact of adapting the different enteral nutrition (EN) formulas was calculated by multiplying the population size with the costs of the formula and ICU length of stay (LOS). A one-way sensitivity analysis (OWSA) was conducted to examine the effect each input parameter has on the calculated output. RESULTS: Replacing SPF with SEF would lower ICU cost by MYR 1059 (USD 216) per patient. The additional cost of increased LOS due to EFI was MYR 5460 (USD 1114) per patient. If the MOH replaces SPF with SEF for ICU patients with high EFI risk (estimated 7981 patients in 2022), an annual net cost reduction of MYR 8.4 million (USD 1.7 million) could potentially be realized in the MOH system. The cost-reduction finding of replacing SPF with SEF remained unchanged despite the input uncertainties assessed via OWSA. CONCLUSION: Early use of SEF in ICU patients with high EFI risk could potentially lower the cost of ICU care for the MOH system in Malaysia.

Prevalence Rate of Proteinuria and Metabolic Acidosis Among Kidney Transplant Recipients in a Tertiary Teaching Hospital and Its Relationship to Dietary Intake.

BACKGROUND: Proteinuria and metabolic acidosis adversely affect long term renal allograft outcome and are highly prevalent in reported studies. The role of dietary intake in influencing proteinuria and metabolic acidosis remained uncertain. This study aims to determine the prevalence rate of proteinuria and metabolic acidosis among kidney transplant recipients (KTRs) and to study their relationship with dietary intake. METHODS: We performed a cross-sectional study on KTRs with functioning renal allograft and at least 3 months post transplant. Dietary protein, salt, and dietary acid load were estimated using 24-hour urine collection. Demographic characteristics, concomitant medications, medical history, and laboratory results were obtained from electronic medical records. RESULTS: A total of 204 KTRs were recruited with median age of 48 years (interquartile range [IQR], 18 years); male to female ratio was 61:39. A total of 79.9% (n = 163) were living related kidney transplants. The median duration after transplant was 71 months (IQR, 131 months), and median eGFR was 65 mL/min/1.73 m2 (IQR, 25 mL/min/1.73 m2). The prevalence rates of proteinuria (defined as ≥ 0.5 g/d) and metabolic acidosis (defined as at least 2 readings of serum bicarbonate ≤ 22 mmol/L in the past 6 months) were 17.7 % and 6.2%, respectively. High dietary protein of > 1.2 g/kg ideal body weight (adjusted odds ratio, 3.13; 95% CI, 1.35-7.28; P = .008) was significantly associated with proteinuria. Dietary protein, salt, and acid load did not correlate with chronic metabolic acidosis. CONCLUSIONS: The prevalence rate of proteinuria is consistent with published literature, but metabolic acidosis rate is extremely low in our cohort. High protein intake (> 1.2 g/kg ideal body weight) is a risk factor of proteinuria and may have negative impact on KTR outcome.

Do we need different predictive equations for the acute and late phases of critical illness? A prospective observational study with repeated indirect calorimetry measurements.

BACKGROUND: Predictive equations (PEs) for estimating resting energy expenditure (REE) that have been developed from acute phase data may not be applicable in the late phase and vice versa. This study aimed to assess whether separate PEs are needed for acute and late phases of critical illness and to develop and validate PE(s) based on the results of this assessment. METHODS: Using indirect calorimetry, REE was measured at acute (≤5 days; n = 294) and late (≥6 days; n = 180) phases of intensive care unit admission. PEs were developed by multiple linear regression. A multi-fold cross-validation approach was used to validate the PEs. The best PEs were selected based on the highest coefficient of determination (R2), the lowest root mean square error (RMSE) and the lowest standard error of estimate (SEE). Two PEs developed from paired 168-patient data were compared with measured REE using mean absolute percentage difference. RESULTS: Mean absolute percentage difference between predicted and measured REE was <20%, which is not clinically significant. Thus, a single PE was developed and validated from data of the larger sample size measured in the acute phase. The best PE for REE (kcal/day) was 891.6(Height) + 9.0(Weight) + 39.7(Minute Ventilation)-5.6(Age) - 354, with R2 = 0.442, RMSE = 348.3, SEE = 325.6 and mean absolute percentage difference with measured REE was: 15.1 ± 14.2% [acute], 15.0 ± 13.1% [late]. CONCLUSIONS: Separate PEs for acute and late phases may not be necessary. Thus, we have developed and validated a PE from acute phase data and demonstrated that it can provide optimal estimates of REE for patients in both acute and late phases. TRIAL REGISTRATION: ClinicalTrials.gov NCT03319329.

A Single-Center Prospective Observational Study Comparing Resting Energy Expenditure in Different Phases of Critical Illness: Indirect Calorimetry Versus Predictive Equations.

OBJECTIVES: Several predictive equations have been developed for estimation of resting energy expenditure, but no study has been done to compare predictive equations against indirect calorimetry among critically ill patients at different phases of critical illness. This study aimed to determine the degree of agreement and accuracy of predictive equations among ICU patients during acute phase (≤ 5 d), late phase (6-10 d), and chronic phase (≥ 11 d). DESIGN: This was a single-center prospective observational study that compared resting energy expenditure estimated by 15 commonly used predictive equations against resting energy expenditure measured by indirect calorimetry at different phases. Degree of agreement between resting energy expenditure calculated by predictive equations and resting energy expenditure measured by indirect calorimetry was analyzed using intraclass correlation coefficient and Bland-Altman analyses. Resting energy expenditure values calculated from predictive equations differing by ± 10% from resting energy expenditure measured by indirect calorimetry was used to assess accuracy. A score ranking method was developed to determine the best predictive equations. SETTING: General Intensive Care Unit, University of Malaya Medical Centre. PATIENTS: Mechanically ventilated critically ill patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Indirect calorimetry was measured thrice during acute, late, and chronic phases among 305, 180, and 91 ICU patients, respectively. There were significant differences (F= 3.447; p = 0.034) in mean resting energy expenditure measured by indirect calorimetry among the three phases. Pairwise comparison showed mean resting energy expenditure measured by indirect calorimetry in late phase (1,878 ± 517 kcal) was significantly higher than during acute phase (1,765 ± 456 kcal) (p = 0.037). The predictive equations with the best agreement and accuracy for acute phase was Swinamer (1990), for late phase was Brandi (1999) and Swinamer (1990), and for chronic phase was Swinamer (1990). None of the resting energy expenditure calculated from predictive equations showed very good agreement or accuracy. CONCLUSIONS: Predictive equations tend to either over- or underestimate resting energy expenditure at different phases. Predictive equations with "dynamic" variables and respiratory data had better agreement with resting energy expenditure measured by indirect calorimetry compared with predictive equations developed for healthy adults or predictive equations based on "static" variables. Although none of the resting energy expenditure calculated from predictive equations had very good agreement, Swinamer (1990) appears to provide relatively good agreement across three phases and could be used to predict resting energy expenditure when indirect calorimetry is not available.

Validity and Reliability of a Nutrition Screening Tool in Identifying Malnutrition Among Hospitalized Adult Patients.

BACKGROUND: Malnutrition among hospitalized patients is closely associated with various medical complications. This study aimed to determine the validity and reliability of a 3-Minute Nutrition Screening (3-MinNS) tool in identifying the risk of malnutrition among hospitalized patients that can be administered by healthcare professionals. METHODS: A cross-sectional study was conducted between January and December 2012. A total of 350 adult patients in a teaching hospital were screened for risk of malnutrition using 3-MinNS and Subjective Global Assessment (SGA). To assess interrater reliability, each patient was screened for risk of malnutrition using 3-MinNS by 2 different nurses on 2 different occasions within 24 hours after admission. To assess the validity of 3-MinNS, the level of risk of malnutrition identified by the nurses using 3-MinNS was compared with the risk of malnutrition as assessed by a dietitian using SGA within 48 hours after the patients' enrolment into the study. The sensitivity, specificity, and predictive values were calculated in detecting patients at risk of malnutrition. Interrater reliability was determined using κ statistics. RESULTS: Using SGA, the estimated prevalence of moderate to severe malnutrition was 36.3% (127/350). There was 94% proportional agreement between 2 nurses using 3-MinNS, and interrater reliability was substantial (κ = 0.79, P < .001). The analysis showed that 3-MinNS had moderate sensitivity (61.4%-68.5%) but high specificity (95.1%). CONCLUSIONS: The 3-MinNS is a reliable and valid screening tool for use by healthcare professionals for identifying newly admitted medical and surgical patients who are at risk of malnutrition.

Effects of immunonutrition on biomarkers in traumatic brain injury patients in Malaysia: a prospective randomized controlled trial.

BACKGROUND: Head injury is one of the top three diagnosis leading to intensive care unit (ICU) admission in Malaysia. There has been growing interest in using immunonutrition as a mode of modulating the inflammatory response to injury or infection with the aim of improving clinical outcome. The aim of the present study was to evaluate the effect of an immunonutrition on biomarkers (IL-6, glutathione, CRP, total protein and albumin) in traumatic brain injury patients. METHODS: Thirty six patients with head injury admitted to neurosurgical ICU in University Malaya Medical Centre were recruited for this study, over a 6-month period from July 2014 to January 2015. Patients were randomized to receive either an immunonutrition (Group A) or a standard (Group B) enteral feed. Levels of biomarkers were measured at day 1, 5 and 7 of enteral feeding. RESULTS: Patients in Group A showed significant reduction of IL-6 at day 5 (p < 0.001) with concurrent rise in glutathione levels (p = 0.049). Patients in Group A also demonstrated a significant increase of total protein level at the end of the study (day 7). CONCLUSION: These findings indicate the potential of immunonutrition reducing cytokines and increasing antioxidant indices in patients with TBI. However, further studies incorporating patient outcomes are needed to determine its overall clinical benefits. TRIAL REGISTRATION: National Medical Research Register (NMRR) ID: 14-1430-23,171. ClinicalTrials.gov identifier: NCT03166449 .

Microbial cell preparation in enteral feeding in critically ill patients: A randomized, double-blind, placebo-controlled clinical trial.

Gut failure is a common condition in critically ill patients in the intensive care unit (ICU). Enteral feeding is usually the first line of choice for nutrition support in critically ill patients. However, enteral feeding has its own set of complications such as alterations in gut transit time and composition of gut eco-culture. The primary aim of this study was to investigate the effect of microbial cell preparation on the return of gut function, white blood cell count, C-reactive protein levels, number of days on mechanical ventilation, and length of stay in ICU. A consecutive cohort of 60 patients admitted to the ICU in University Malaya Medical Centre requiring enteral feeding were prospectively randomized to receive either treatment (n = 30) or placebo (n = 30). Patients receiving enteral feeding supplemented with a course of treatment achieved a faster return of gut function and required shorter duration of mechanical ventilation and shorter length of stay in the ICU. However, inflammatory markers did not show any significant change in the pretreatment and posttreatment groups. Overall, it can be concluded that microbial cell preparation enhances gut function and the overall clinical outcome of critically ill patients receiving enteral feeding in the ICU.

Low physical activity and energy dense Malaysian foods are associated with non-alcoholic fatty liver disease in centrally obese but not in non-centrally obese patients with diabetes mellitus.

OBJECTIVE: To study the dietary intake and level of physical activity (PA) of patients with diabetes mellitus and the association with non-alcoholic fatty liver disease (NAFLD). METHODS: Consecutive adult patients with type 2 diabetes mellitus seen in our hospital diabetes clinic were enrolled. The Global Physical Activity Questionnaire and a semi-quantitative food-frequency questionnaire were used to assess PA and dietary intake, respectively. Diagnosis of NAFLD was ultrasound-based and following exclusion of significant alcohol intake and other causes of chronic liver disease. RESULTS: Data for 299 patients were analyzed (mean age 63.3±10.5 years old, 41.1% male). Prevalence of NAFLD was 49.2%. Patients with low PA were more likely to have NAFLD (OR=1.75, 95% CI=1.03-2.99, p=0.029). There was no significant difference in energy intake, intake of macronutrients and percentage energy intake from each macronutrient, high sugar food, high cholesterol food and high SFA food between patients with and without NAFLD. Among centrally obese patients, patients with low PA and in the highest quartile of percentage energy intake from fat (OR=4.03, 95% CI=1.12-15.0, p=0.015), high cholesterol food (OR=3.61, 95% CI=1.37-9.72, p=0.004) and high SFA food (OR=2.67, 95% CI=1.08-6.67, p=0.019) were most likely to have NAFLD. Among those who were not centrally obese, PA and percentage energy intake from fat, high cholesterol food and high SFA food was not associated with NAFLD. CONCLUSION: Low PA and high percentage energy intake from fat, high cholesterol food and high SFA food is associated with NAFLD in centrally obese but not in non-centrally obese patients with diabetes mellitus.

Ultrasonography-diagnosed non-alcoholic fatty liver disease is not associated with prevalent ischemic heart disease among diabetics in a multiracial Asian hospital clinic population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) and cardiovascular diseases are both common among patients with diabetes mellitus. OBJECTIVE: The aim of this study is to determine if ultrasonography-diagnosed NAFLD is associated with prevalent ischemic heart disease (IHD) among patients with diabetes mellitus. METHODS: This is a cross-sectional study on consecutive patients seen at the Diabetic Clinic, University of Malaya Medical Centre. The medical record for each patient was reviewed for documented IHD. Patients without documented IHD but had symptoms and/or electrocardiographic changes suggestive of IHD were referred for cardiac evaluation. RESULTS: Data for 399 patients were analyzed. Mean age was 62.8±10.5 years with 43.1% male. NAFLD and IHD were present in 49.6 and 26.6%, respectively. The prevalence of IHD among patients with and without NAFLD was 24.7 and 28.4%, respectively (P=0.414). The prevalence of IHD was highest among the Indians (34.1%) followed by the Malays (29.2%) and the Chinese (20.1%). No association was found between NAFLD and IHD when analyzed according to ethnicity. On multivariate analysis, independent factors associated with IHD were older age, lower levels of physical activity, greater waist circumference and higher serum glycated hemoglobin level. CONCLUSIONS: Ultrasonography-diagnosed NAFLD was not associated with prevalent IHD among patients with diabetes mellitus in a multiracial Asian hospital clinic population.

Non-alcoholic fatty liver disease in diabetics--prevalence and predictive factors in a multiracial hospital clinic population in Malaysia.

BACKGROUND AND AIM: There is currently no published study comparing prevalence of non-alcoholic fatty liver disease (NAFLD) and associated factors among diabetics of different ethnicity in the Asia-Pacific region. METHODS: Cross-sectional study of consecutive patients in the Diabetic Clinic in University of Malaya Medical Centre. The Global Physical Activity Questionnaire and a semiquantitative food-frequency questionnaire were used to assess physical activity and dietary intake, respectively. Diagnosis of NAFLD was ultrasound-based and following exclusion of significant alcohol intake. RESULTS: Data for 399 patients were analyzed (mean age 62.3 ± 10.5 years, 43.1% men). The racial distribution was Chinese 43.6%, Indian 33.1%, Malay 22.3%, and others 1.0%. The prevalence of NAFLD was 49.6%. On univariate analysis, factors associated with NAFLD were age < 65 years, race, obesity, central obesity, glycated hemoglobin ≥ 7.0%, and elevated serum alanine aminotransferase (ALT) and gamma-glutamyl transpeptidase levels. Patients with low physical activity were more likely to have NAFLD (odds ratio [OR] = 1.67, 95% confidence interval [CI] = 1.06-2.63, P = 0.020). The prevalence of NAFLD was highest among Malays (60.7%), followed by Indians (51.5%), and lowest among Chinese (42.0%) consistent with higher prevalence of central obesity and higher percentage calorie intake from fat in the former groups of patients. On multivariate analysis, independent factors associated with NAFLD were central obesity (OR = 2.20, 95% CI = 1.29-3.75, P = 0.004) and elevated serum ALT level (OR = 1.98, 95% CI = 1.21-3.25, P = 0.007). CONCLUSIONS: NAFLD was seen in half of a cohort of diabetic patients and was independently associated with central obesity and elevated serum ALT level. Prevalence of NAFLD was different and paralleled the difference in prevalence of central obesity and in percentage calorie intake from fat among the different ethnic groups.

Nutritional status among pediatric cancer patients: a comparison between hematological malignancies and solid tumors.

PURPOSE: This study aimed to compare the nutritional status of pediatric patients with hematological malignancies and solid tumors. DESIGN AND METHODS: A total of 74 pediatric cancer patients were assessed for anthropometric status, biochemical profiles, and dietary intake. RESULTS: The prevalence of undernutrition was higher among patients with solid tumors as reflected in their lower dietary intakes of energy and nutrients compared with patients with hematological malignancies. PRACTICE IMPLICATION: Adequate dietary intake is important for pediatric cancer patients, but nurses need to pay more attention to the diets of patients with solid tumors as compared with those with hematological malignancies.