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1.
Nutrition ; 111: 112025, 2023 07.
Article in English | MEDLINE | ID: mdl-37116406

ABSTRACT

OBJECTIVES: Patients discharged from the intensive care unit (ICU) often experience physical complaints and poor nutritional intake, which negatively affect their nutritional status (NS). The aim of this study was to describe the NS of patients with COVID-19 1-y post-ICU stay. METHODS: This was an observational study of adult patients with COVID-19 1-y post-ICU stay. NS assessment (nutrient balance, body composition, and physical status) was performed. We examined nutritional intake and nutrition-related complaints. Nutritional requirements were determined with indirect calorimetry and body composition with bioelectrical impedance. Fat-free mass index (FFMI) and fat mass index (FMI) were calculated. Physical status was determined using handgrip strength, the 6-min walk test, and the 1-min sit-to-stand test. Descriptive statistics and paired sample t tests were used for analysis. RESULTS: We included 48 patients (73% men; median age 60 y [IQR 52;65]). Median weight loss during the ICU stay was 13%. One-y post-ICU stay, 12% of weight was regained. Median body mass index was 26 kg/m2 and 23% of the patients were obese (body mass index >30 kg/m2 and high FMI). Of the patients, 50% had high FMI and 19% had low FFMI. Median reported nutritional intake was 90% of measured resting energy expenditure. Nutrition-related complaints were seen in 16%. Percentages of normal values reached in physical tests were 92% of handgrip strength, 95% of 6-min walking distance, and 79% of 1-min sit-to-stand test. CONCLUSIONS: Despite almost fully regained weight and good physical recovery in adult patients 1-y post-ICU stay, NS remained impaired because of elevated FMI, even though reported nutritional intake was below the estimated requirements.


Subject(s)
COVID-19 , Nutritional Status , Male , Adult , Humans , Middle Aged , Female , Hand Strength , Body Composition , Body Mass Index , Intensive Care Units
2.
Dev Med Child Neurol ; 63(1): 104-110, 2021 01.
Article in English | MEDLINE | ID: mdl-32909287

ABSTRACT

AIM: To assess the long-term outcomes of our management protocol for Saethre-Chotzen syndrome, which includes one-stage fronto-orbital advancement. METHOD: All patients born with Saethre-Chotzen syndrome between January 1992 and March 2017 were included. Evaluated parameters included occipital frontal head circumference (OFC), fundoscopy, neuroimaging (ventricular size, tonsillar position, and the presence of collaterals/an abnormal transverse sinus), polysomnography, and ophthalmological outcomes. The relationship between papilledema and its associated risk factors was evaluated with Fisher's exact test. RESULTS: Thirty-two patients (21 females, 11 males) were included. Median (SD) age at first surgery was 9.6 months (3.1mo) for patients who were primarily referred to our center (range: 3.6-13.0mo), the median (SD) age at last follow-up was 13 years (5y 7mo; range: 3-25y). Seven patients had papilledema preoperatively, which recurred in two. Two patients had papilledema solely after first surgery. Second cranial vault expansion was indicated in 20%. Thirteen patients had an OFC deflection, indicating restricted skull growth, one patient had ventriculomegaly, and none developed hydrocephalus. Eleven patients had emissary veins, while the transverse sinus was aberrant unilaterally in 13 (hypoplastic n=10 and absent n=3). Four patients had mild tonsillar descent, one of which was a Chiari type I malformation. Four patients had obstructive sleep apnoea (two mild, one moderate, and one severe). An aberrant transverse sinus was associated with papilledema (p=0.01). INTERPRETATION: Single one-stage fronto-orbital advancement was sufficient to prevent intracranial hypertension for 80% of our patients with Saethre-Chotzen syndrome. Follow-up should focus on OFC deflection and venous anomalies.


Subject(s)
Acrocephalosyndactylia/pathology , Acrocephalosyndactylia/surgery , Frontal Bone/surgery , Intracranial Hypertension/prevention & control , Neurosurgical Procedures , Orbit/surgery , Outcome Assessment, Health Care , Acrocephalosyndactylia/complications , Acrocephalosyndactylia/diagnostic imaging , Adolescent , Adult , Child , Child, Preschool , Clinical Protocols , Computed Tomography Angiography , Female , Humans , Infant , Intracranial Hypertension/etiology , Longitudinal Studies , Magnetic Resonance Imaging , Male , Neuroimaging , Neurosurgical Procedures/methods , Tomography, Optical Coherence , Young Adult
3.
Am J Clin Nutr ; 103(5): 1301-10, 2016 May.
Article in English | MEDLINE | ID: mdl-27099244

ABSTRACT

BACKGROUND: Several malnutrition screening tools have been advocated for use in pediatric inpatients. OBJECTIVE: We evaluated how 3 popular pediatric nutrition screening tools [i.e., the Pediatric Yorkhill Malnutrition Score (PYMS), the Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and the Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGKIDS)] compared with and were related to anthropometric measures, body composition, and clinical variables in patients who were admitted to tertiary hospitals across Europe. DESIGN: The 3 screening tools were applied in 2567 inpatients at 14 hospitals across 12 European countries. The classification of patients into different nutritional risk groups was compared between tools and related to anthropometric measures and clinical variables [e.g., length of hospital stay (LOS) and infection rates]. RESULTS: A similar rate of completion of the screening tools for each tool was achieved (PYMS: 86%; STAMP: 84%; and STRONGKIDS: 81%). Risk classification differed markedly by tool, with an overall agreement of 41% between tools. Children categorized as high risk (PYMS: 25%; STAMP: 23%; and STRONGKIDS: 10%) had a longer LOS than that of children at low risk (1.4, 1.4, and 1.8 d longer, respectively; P < 0.001). In high-risk patients identified with the PYMS, 22% of them had low (<-2) body mass index (BMI) SD-scores (SDSs), and 8% of them had low height-for-age SDSs. For the STAMP, the percentages were 19% and 14%, respectively, and for the STRONGKIDS, the percentages were 23% and 19%, respectively. CONCLUSIONS: The identification and classification of malnutrition risk varied across the pediatric tools used. A considerable portion of children with subnormal anthropometric measures were not identified with all of the tools. The data obtained do not allow recommending the use of any of these screening tools for clinical practice. This study was registered at clinicaltrials.gov as NCT01132742.


Subject(s)
Child, Hospitalized , Malnutrition/diagnosis , Malnutrition/epidemiology , Body Composition , Body Mass Index , Child , Child Nutritional Physiological Phenomena , Child, Preschool , Europe/epidemiology , Female , Follow-Up Studies , Hospitalization , Humans , Infant , Length of Stay , Male , Nutrition Assessment , Nutritional Status , Prospective Studies , Reproducibility of Results , Risk Factors
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