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1.
Respir Care ; 67(4): 455-463, 2022 04.
Article in English | MEDLINE | ID: mdl-35292522

ABSTRACT

BACKGROUND: Noninvasive respiratory support is commonly used in treatment of bronchiolitis. Determinants of failure are needed to prevent delayed intubation. METHODS: We conducted a prospective observational pilot study in infants admitted to a pediatric ICU. Diaphragmatic excursion (dExc), diaphragmatic inspiratory/expiratory time, and diaphragmatic thickening fraction (dTF) were recorded at admission, 24 h, and 48 h in both hemidiaphragms. RESULTS: Twenty-six subjects were included (14 on HFNC and 12 on NIV) with a total of 56 ultrasonographic evaluations. Three subjects required invasive ventilation. Sixty-four percent of the subjects on HFNC required NIV as rescue therapy and 2/14 invasive ventilation (14.2%). In the HFNC group there were no differences in dExc between those who required escalation to NIV or invasive ventilation and those who didn't. Left dTF was higher in subjects on HFNC requiring invasive ventilation versus those needing NIV (left dTF 47% vs 22% [13-30]; P = .046, r = 0.7). Diaphragmatic I:E ratios were higher in infants on HFNC requiring invasive ventilation and diaphragmatic expiratory time was shorter (left P = .038; right P = .02). In the NIV group there were no differences in dExc, I:E ratios, or dTF between subjects needing escalation to invasive ventilation and those who didn't. We found no correlation between a clinical work of breathing score and echographic dTF. CONCLUSIONS: In infants with moderate or severe bronchiolitis receiving HFNC, the use of ultrasonographic left dTF could help predict respiratory treatment failure and need for invasive ventilation. The use of ultrasonographic dExc is of little help to predict both.


Subject(s)
Bronchiolitis , Noninvasive Ventilation , Respiratory Insufficiency , Bronchiolitis/diagnostic imaging , Bronchiolitis/therapy , Child , Diaphragm/diagnostic imaging , Humans , Infant , Oxygen Inhalation Therapy , Prospective Studies , Respiratory Insufficiency/diagnostic imaging , Respiratory Insufficiency/etiology , Respiratory Insufficiency/therapy , Treatment Failure , Ultrasonography
2.
Pediatr Crit Care Med ; 22(2): e109-e114, 2021 02 01.
Article in English | MEDLINE | ID: mdl-33044414

ABSTRACT

OBJECTIVES: Early diagnosis of invasive Candida infections is a challenge for pediatricians, intensivists, and microbiologists. To fill this gap, a new nanodiagnostic method has been developed using manual application of T2 nuclear magnetic resonance to detect Candida species. The aim of this study was to evaluate, prospectively, the usefulness as a tool diagnosis of the T2Candida panel in pediatric patients admitted at the PICU compared with blood culture. DESIGN: This is a prospective, observational, and unicentric study to compare T2Candida results with simultaneous blood cultures for candidemia diagnose. SETTING: This study was carried out in a 1,300-bed tertiary care hospital with a 16-bed medical-surgical PICU. PATIENTS: Sixty-three patients from 0 to 17 years old were enrolled in this study, including those undergoing solid organ transplantation (kidney, liver, pulmonary, multivisceral, intestinal, and heart) and hematopoietic stem cell transplantation. MEASUREMENTS AND MAIN RESULTS: Seven patients were positive by the T2Candida test. Only two of them had the simultaneous positive blood culture. T2Candida yielded more positive results than blood cultures. CONCLUSIONS: T2Candida might be useful for the diagnosis of candidemia in PICUs. The prevalence of candidemia might be underestimated in this pediatric population. The use of this diagnostic tool in these units may help clinicians to start adequate and timely antifungal treatments.


Subject(s)
Candidemia , Adolescent , Candida , Candidemia/diagnosis , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Intensive Care Units, Pediatric , Magnetic Resonance Spectroscopy , Prospective Studies
3.
Pediatr Crit Care Med ; 5(1): 19-27, 2004 Jan.
Article in English | MEDLINE | ID: mdl-14697104

ABSTRACT

OBJECTIVE: Compare the energy expenditure, predicted by anthropometric equations, with that measured by continuous on-line indirect calorimetry in ventilated, critically ill children during the early postinjury period. DESIGN: Prospective, clinical study. SETTING: Pediatric intensive care unit of a pediatric university hospital. PATIENTS: A total of 43 ventilated, critically ill children during the first 6 hrs after injury. INTERVENTIONS: An indirect calorimeter was used to continuously measure the energy expenditure for 24 hrs. MEASUREMENTS AND MAIN RESULTS: Clinical data collected were age, gender, actual and ideal weight, height, and body surface. Nutritional status was assessed by Waterlow and Shukla Index. Severity of illness was determined by Pediatric Risk of Mortality, Physiologic Stability Index, and Therapeutic Intervention Scoring System. Energy expenditure was measured (MEE) by continuous on-line indirect calorimetry for 24 hrs. Predicted Energy Expenditure (PEE) was calculated using the Harris-Benedict, Caldwell-Kennedy, Schofield, Food and Agriculture/World Health Organization/United Nation Union, Maffeis, Fleisch, Kleiber, Dreyer, and Hunter equations, using the actual and ideal weight. MEE and PEE were compared using paired Student's t-test, linear correlation (r), intraclass correlation coefficient (pI), and the Bland-Altman method. Mean MEE resulted in 674 +/- 384 kcal/day. Most of the predictive equations overestimated MEE in ventilated, critically ill children during the early postinjury period. MEE and PEE differed significantly (p<.05) except when the Caldwell-Kennedy and the Fleisch equations were used. r2 ranged from 0.78 to 0.81 (p<.05), and pI was excellent (>.75) for the Caldwell-Kennedy, Schofield, Food and Agriculture/World Health Organization/United Nation Union, Fleisch, and Kleiber equations. The Bland-Altman method showed poor accuracy; the Caldwell-Kennedy equation was the best predictor of energy expenditure (bias, 38 kcal/day; precision, +/- 179 kcal/day). The accuracy in the medical group was higher (pI range,.71-.94) than in surgical patients (pI range,.18-.75). CONCLUSIONS: Predictive equations do not accurately predict energy expenditure in ventilated, critically ill children during the early postinjury period; if available, indirect calorimetry must be performed.


Subject(s)
Algorithms , Calorimetry, Indirect , Energy Metabolism/physiology , Nutrition Assessment , Calorimetry, Indirect/statistics & numerical data , Child, Preschool , Female , Humans , Intensive Care Units, Pediatric , Male , Predictive Value of Tests , Prospective Studies , Reference Values , Reproducibility of Results , Respiration, Artificial
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