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1.
Nutr Clin Pract ; 39(3): 685-695, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38153693

ABSTRACT

BACKGROUND: The objective of this quality-improvement project was to increase documentation rates of anthropometrics (measured weight, length/height, and body mass index [BMI], which are critical to identify patients at malnutrition (undernutrition) risk) from <50% to 80% within 24 hours of hospital admission for pediatric patients. METHODS: Multidisciplinary champion teams on surgical, cardiac, and intensive care (ICU) pilot units were established to identify and iteratively test interventions addressing barriers to documentation from May 2016 to June 2018. Percentage of patients with documented anthropometrics <24 h of admission was assessed monthly by statistical process control methodology. Percentage of patients at malnutrition (undernutrition) risk by anthropometrics was compared by χ2 for 4 months before and after intervention. RESULTS: Anthropometric documentation rates significantly increased (P < 0.001 for all): BMI, from 11% to 89% (surgical), 33% to 57% (cardiac), and 16% to 51% (ICU); measured weight, from 24% to 88% (surgical), 69% to 83% (cardiac), and 51% to 67% (ICU); and length/height, from 12% to 89% (surgical), 38% to 57% (cardiac), and 26% to 63% (ICU). Improvement hospital-wide was observed (BMI, 42% to 70%, P < 0.001) with formal dissemination tactics. For pilot units, moderate/severe malnutrition (undernutrition) rates tripled (1.2% [24 of 2081] to 3.4% [81 of 2374], P < 0.001). CONCLUSION: Documentation of anthropometrics on admission substantially improved after establishing multidisciplinary champion teams. Goal rate (80%) was achieved within 26 months for all anthropometrics in the surgical unit and for weight in the cardiac unit. Improved documentation rates led to significant increase in identification of patients at malnutrition (undernutrition) risk.


Subject(s)
Anthropometry , Body Mass Index , Body Weight , Malnutrition , Quality Improvement , Humans , Child , Male , Female , Child, Preschool , Malnutrition/diagnosis , Malnutrition/epidemiology , Infant , Child, Hospitalized/statistics & numerical data , Hospitalization/statistics & numerical data , Pilot Projects , Documentation/standards , Documentation/statistics & numerical data , Documentation/methods , Body Height
4.
Nutr Metab (Lond) ; 14: 44, 2017.
Article in English | MEDLINE | ID: mdl-28694840

ABSTRACT

BACKGROUND: We sought to characterize the effects of dietary macronutrient composition on various hormones implicated in the regulation of insulin sensitivity (IS) and energy expenditure (EE). METHODS: Following 10-15% weight loss, 21 overweight subjects consumed 3 weight-loss maintenance diets [low fat (LF), low glycemic index (LGI) and very low carbohydrate (VLC)] in random order, each for 4 weeks. At baseline and at the end of each treatment period, fasting samples for fibroblast growth factor (FGF)-21, heme-oxygenase-1 (HO-1), chemerin, irisin, secreted frizzle-related protein (SFRP-4), total bile acids, ghrelin, gastrin inhibitory peptide (GIP), peptide-Y, and amylin; hepatic and peripheral IS; and EE were obtained. Analyses were controlled for age, gender, baseline body mass index, and diet sequence. RESULTS: FGF-21 decreased (P < 0.0001), with differential effect by macronutrient composition (mean change from baseline ± SEM: LF -49.4 ± 16.6, LGI -58.6 ± 16.3, VLC -76.7 ± 18.2 pg/mL, P = 0.0002). Change in FGF-21 was inversely associated with change in hepatic IS [Beta = -0.565 units/log(ng/mL), P = 0.02], but not with peripheral IS or EE. Heme-oxygenase-1 (HO-1) increased (P = 0.003), without differential effect by macronutrient composition (LF 0.40 ± 0.26, LGI 0.98 ± 0.63, VLC 0.49 ± 0.29 ng/mL, P = 0.07). Ghrelin increased (P = 0.0003), while chemerin decreased (P = 0.001) without macronutrient effect. Total bile acid, irisin, SFRP-4, GIP, peptide-Y and amylin levels did not change. CONCLUSIONS: FGF-21 levels decreased with dietary intervention in proportion to carbohydrate content, and correlated with hepatic insulin sensitivity, suggesting a pattern of improving FGF-21 resistance. HO-1 increased in response to dietary intervention, a tendency to greater increase in response to the LGI diet. Dietary intervention affected ghrelin and chemerin, independent of macronutrient composition. These findings may elucidate relationships between dietary composition, insulin sensitivity and metabolism. TRIAL REGISTRATION: NCT00315354.

5.
Obesity (Silver Spring) ; 23(11): 2216-22, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26373701

ABSTRACT

OBJECTIVE: To examine associations of baseline insulin dynamics with changes in body composition and resting energy expenditure (REE) following weight loss. METHODS: Twenty-one participants with overweight or obesity achieved 10-15% weight loss and then received 3 weight loss maintenance diets (high-carbohydrate, moderate-carbohydrate, and low-carbohydrate) in random order, each for 4 weeks. Body composition was measured at baseline and after weight loss. Insulin 30 min after glucose consumption (insulin-30; insulin response), C-peptide deconvolution analysis, HOMA, hepatic insulin sensitivity (IS), and REE were assessed at baseline and after each maintenance diet. RESULTS: Insulin-30, but not maximal insulin secretion, hepatic IS, or HOMA, predicted changes in fat mass (standardized ß = 0.385, 1.7 kg difference between 10th and 90th centile of insulin-30, P = 0.04) after weight loss. Insulin-30 (ß = -0.341, -312 kcal day(-1) , P = 0.008), maximal insulin secretion (ß = -0.216, -95 kcal day(-1) , P = 0.0002), HOMA (ß = -0.394, -350 kcal day(-1) , P = 0.002), and hepatic IS (ß = 0.217, 225 kcal day(-1) , P = 0.0003) predicted change in REE during weight loss maintenance, independent of changes in body composition. The inverse relationship between insulin-30 and REE was substantially attenuated when the low-carbohydrate diet was consumed first. CONCLUSIONS: These findings distinguish a novel phenotype, characterized by high insulin response, at risk for weight regain, and identify a dietary approach to ameliorate this risk.


Subject(s)
Body Composition/physiology , Energy Metabolism/physiology , Insulin/metabolism , Rest , Weight Loss/physiology , Adult , Body Weight , C-Peptide/blood , Diet, Carbohydrate-Restricted , Diet, Reducing , Female , Humans , Insulin Resistance , Male , Obesity/diet therapy , Obesity/metabolism , Overweight/diet therapy , Overweight/metabolism , Young Adult
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