Nutricion hospitalaria最新文献

Introduction: given the problematic battle against cardio-metabolic diseases and the increase in computational power, different applications are being developed to help estimate overweight and obesity in the population.

Objectives: to evaluate the body mass index (BMI) formula (kg/m2), taking body fat measured by bioimpedance as a reference and comparing it with variations of the same form obtained by applying algebraic transformation rules using an artificial intelligence heuristic search method.

Material and methods: an artificial intelligence heuristic method was applied to search for the formula that most accurately calculates people's body fat percentage. The formula was generated from body mass and stature, variables used to estimate BMI. Thousands of formulas involving body mass and stature were generated from BMI using transformation rules with algebraic variations and increased and decreased constants.

Results: body mass, stature, and body fat percentage data set from 142 female and 150 male participants were used. Body mass and stature were used to classify participants into two classes based on body fat percentage (excessive or adequate, with cutoff points of 30 % for women and 15 % for men). The Youden index guided the search algorithm by evaluating candidate formulas to generate new ones. Among the formulas with the maximum value of the Youden index, Body mass1.1 / Stature2.9, is proposed as the best candidate as an alternative formula to apply instead of the BMI conventional formula.

Conclusions: although BMI showed a high Youden index, the AI algorithm found that the W1.1 / H2.9 formula is even more efficient in assessing body fat in men and women.

Background and objective: identifying patients at high risk of avoidable readmission remains a challenge for healthcare professionals. Despite the recent interest in Machine Learning in this topic, studies are scarce and commonly using only black box algorithms. The aim of our study was to develop and validate in silico an interpretable predictive model using a decision tree inference to identify pediatric patients at risk of 30-day potentially avoidable readmissions.

Methods: a retrospective cohort study was conducted with all patients under 18 years admitted to a tertiary university hospital. Demographic, clinical and nutritional data were collected from electronic databases. The outcome was the potentially avoidable 30-day readmissions. The J48 algorithm was used to develop the best-fit trees capable of classifying the outcome efficiently. Leave-one-out cross-validation was applied and we computed the area under the receiver operating curve (AUC).

Results: the most important attributes of the model were C-reactive protein, hemoglobin and sodium levels, besides nutritional monitoring. We obtained an AUC of 0.65 and accuracy of 63.3 % for the full training and leave-one-out cross-validation.

Conclusion: our model allows the identification of 30-day potentially avoidable readmissions through practical indicators facilitating timely interventions by the medical team, and might contribute to reduce this outcome.

Introduction: designing functional foods to control appetite could be a useful strategy for managing overweight and obesity. Fiber and proteins could be interesting ingredients to consider.

Objectives: to evaluate the appetite profile of two experimental yogurts (fiber-enriched [FEY] and protein-enriched [PEY]) versus a control yogurt (CY) in a group of overweight/obesity people.

Material and methods: an acute, randomized, double-blind, crossover clinical trial was carried out in a group of twelve healthy overweight/obesity type I people; randomized to consume 3 yogurts in a different order for 3 acute study days. The appetite profile (1. hunger, 2. satiety, 3. fullness, 4. prospective food consumption, 5. desire to eat something fatty, salty, sweet or savoury) was assessed using a Visual Analog Scale (ranging from 0 ''not at all'' to 10 ''extremely") at 12 moments in each acute study. Additionally, total food consumption in an ad libitum lunch was assessed.

Results: FEY produce a significantly lower desire to consume any food at 30 (1.50 ± 0.42) and 60 minutes (2.78 ± 0.42) after consumption compared to PEY (3.46 ± 0.53; 4.33 ± 0.54) and CY (3.27 ± 0.69; 4.0 ± 0.78) respectively (p < 0.016). Also, FEY consumption produced a higher satiety and fullness and a lower desire to ingest something fatty, salty or savory after 90 minutes consumption compared to the other products, but the difference was not significance.

Conclusion: FEY might be a good functional food prototype to control appetite in overweight and obese people.

Objective: in recent years, bariatric surgery has gained popularity as a treatment for obesity worldwide. While patients do experience weight loss after surgery, it is important to be aware that serious nutritional deficiencies may also occur. This study was conducted to evaluate the nutritional status of morbidly obese patients in the first six months after sleeve gastrectomy.

Methods: the study was planned as a retrospective study. The data of 76 patients aged 19-64 years who had undergone bariatric surgery and were followed by a dietitian for at least 6 months were included in the study. Preoperative and postoperative biochemical parameters and anthropometric measurements of the patients were taken.

Results: the lowest body weight of the patients was found at postoperative month 6 (81.74 ± 14.83 kg), the body weight at the preoperative period (115.86 ± 21.28 kg) and postoperative month 1 (100.39 ± 18.28 kg), and the body weight at postoperative month 1 was statistically lower than at the preoperative period. The preoperative body weights and BMI values of the patients were higher than at postoperative months 1 and 6, and the postoperative month 1 values were higher than at postoperative month 6 (p < 0.05). The lowest fasting blood glucose (83.48 ± 8.44 mg/dL), HbA1c (4.96 ± 0.95 %), and Homa-IR (3.34 ± 0.92) were observed at the postoperative month 6. Compared with the preoperative period, the iron level of the patients increased from 69.54 ± 29.82 µg/dL to 96.52 ± 25.39 µg/dL in postoperative month 6, vitamin D levels from 14.48 ± 8.70 µg/dL to 23.96 ± 4.79 µg/dL. While preoperative blood triglyceride and LDL values were statistically higher than in postoperative months 1 and 6, the HDL value was lower (p < 0.05).

Conclusion: as a result, after sleeve gastrectomy, patient body weight decreased, and blood lipid profile and diabetes symptoms improved.

Introduction: the combination of cesarean section delivery and limited exposure to exclusive breastfeeding (EBF) in the first six months of life may increase the risk of obesity and diabetes mellitus. This study aimed to establish an association between type 2 diabetes mellitus (T2DM) in adulthood, cesarean section delivery and incomplete breastfeeding (FBF) in individuals from the metropolitan area of Guadalajara, Mexico.

Methodology: this analytical cross-sectional study included patients over 18 years of age with T2DM and normal weight, overweight or obesity, regardless of sex. Informed consent was obtained. Variables encompassed T2DM, type of delivery method, first-year diet, family history, demographic, socioeconomic, and educational characteristics, and anthropometric measurements. For statistical analysis, Student's t test, chi-square tests and odds ratios were employed.

Results: the study evaluated 218 patients with an average age of 57.8 years (± 12.7) and an average age at T2DM diagnosis of 46.2 years (± 12.5). FBF (65.6 %) and partial breastfeeding (PBF) (23.8 %) prevailed in the first six months. The average age at T2DM diagnosis was 46.7 years (± 12.1) for vaginally born patients and 30.7 years (± 15.5) for cesarean-born patients (p = 0.001). Cesarean delivery increased obesity risk by nine times in patients with T2DM [OR = 8.9 (CI, 1.05, 75.2), p = 0.02].

Conclusion: prioritizing the limitation of nonmedically justified cesarean section deliveries is crucial to mitigate the risk of obesity and T2DM in adulthood. .

Introduction: appetite can be measured through subjective sensations of appetite (SSA), which can be assessed by means of scales, the most relevant being the visual analog scales (VAS).

Objective: to analyze the repeatability of VAS in men and women in follicular phase (FF) and luteal phase (LF) of the menstrual cycle Materials and methods: 34 men and women were included. VAS of subjective appetite sensations (SAS) were applied before and after standardized breakfast in two sessions.

Results: women LP showed intra-class correlation coefficient (ICC) values greater than 0.5, and most of VAS in women FP and men showed ICC values greater than 0.7. The ICC of hunger and desire to eat were different between men and women LP. Comparisons of these ICC´s showed that only hunger and desire to eat were different between men and women.

Conclusion: repeatability of VAS was similar between men and women in different stages of menstrual cycle. This is the first study to assess repeatability of VAS in women in LP and to objectively compare the repeatability of VAS to evaluate SAS.