Feeding difficulties in young paediatric intensive care survivors: A scoping review.

BACKGROUND: Although feeding difficulties are commonly described amongst children with chronic diseases, those admitted to a paediatric intensive care unit (PICU) represent a mix of previously healthy children as well as those with pre-existing diseases. There is, however, a lack of evidence describing the prevalence and type of feeding difficulties amongst healthy children who survive a period of critical illness and the subsequent impact on growth and family life. The aim of this work was to complete a scoping review of evidence describing feeding difficulties amongst PICU-survivors. METHOD: Six electronic databases were searched from January 2000-October 2018. NICE Healthcare Databases Advanced Search website (https://hdas.nice.org.uk/) was used as a tool to complete multiple searches within multiple databases, including the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo and Medline. Any studies considering feeding difficulties amongst previously healthy children following discharge from PICU or those which explored the parental/caregiver experiences were included. RESULTS: As the initial search yielded only one study which fulfilled the inclusion criteria, the criteria was extended to include studies relating to feeding difficulties (post-discharge) amongst otherwise healthy ex-preterm infants (born < 37 weeks gestational age) and infants/children with chronic diseases where feeding difficulties were described following a PICU admission. A review team screened and extracted the data of published qualitative and quantitative studies, using content analysis techniques. Of the 9622 articles identified from the searches, 22 full-text studies were reviewed with seven studies included. Four overarching categories represented the results: prevalence of feeding difficulties; risk factors and predictors for developing feeding difficulties; parental/carer experience and emotional response to feeding difficulties; and challenges in accessing feeding support. CONCLUSIONS: The results of this scoping review suggest there are gaps in the research, particularly those exploring the prevalence of feeding difficulties amongst previously healthy children and the negative impact this may have on family life. Future research should focus on addressing the extent of the problem and identifying risk factors, in addition to the potential development of toolkits for health care professionals to better support parents.

Bioimpedance spectroscopy measurements of phase angle and height for age are predictive of outcome in children following surgery for congenital heart disease.

OBJECTIVE: Children with congenital heart disease (CHD) are often growth restricted (low weight- and/or height-for-age) which may increase risk of poor post operative resilience. Bioelectrical impedance spectroscopy (BIS) has been used to determine body composition in different clinical settings and has been shown to mark differences in nutritional state and clinical outcome. In disease conditions were fluid is not normally distributed it is proposed that raw impedance values and BIS derived phase-angle may serve as prognostic indicators of clinical outcome. We sought to describe the relationship between nutritional status, phase-angle and post-operative outcomes in children with congenital heart disease. DESIGN: Single centre prospective cohort study. SETTING: Paediatric Intensive Care Unit (PICU), Southampton Children's Hospital. PATIENTS: 122 children with CHD following cardiac surgery (March 2015-April 2016). Outcome variables included growth, mechanical-ventilation, PICU length of stay (PICU-LOS) and phase-angle at 50 Hz. MEASUREMENTS AND MAIN RESULTS: BIS measurements were taken before and on the day of surgery (day 0), day 2 post-operatively and on discharge from hospital. Pre-operative moderate malnutrition defined as height-for-age-z-score (HAZ) ≤-2 was observed in 28.5% of infants and 20.6% of children. Regression analysis was used to investigate the relationship between phase-angle, HAZ and clinical outcomes. Moderate-malnutrition (HAZ ≤-2) was associated with an increased PICU-LOS (odds ratios (OR) with 95% confidence interval: 1.8; 1.1-2.7, p = 0.008) whilst a low phase-angle (≤2.7° on day 2 was associated with longer PICU-LOS (OR 7.8; 2.7-22.45, p < 0.001)); When the model was adjusted for age, known risk factors and length of surgery, HAZ ≤-2 and phase-angle ≤2.7° on day 2 were associated with longer PICU-LOS (p = 0.001 and p = 0.04 respectively) and together explained 81.7% of the variability in PICU-LOS. CONCLUSIONS: Moderate malnutrition (HAZ ≤-2) in infants and children undergoing cardiac surgery is associated with longer PICU-LOS. Post-operative measures of BIS phase angle may further improve our ability to identifying hose children with an increased risk of prolonged PICU-LOS compared to using pre-operative anthropometry alone.

The effects of two methods for customising the original SAPS II model for intensive care patients from South England.

Model customisation is used to adjust prognostic models by re-calibrating them to obtain more reliable mortality estimates. We used two methods for customising the Simplified Acute Physiology Score II model for 15,511 intensive care patients by altering the logit and the coefficients of the original equation. Both methods significantly improved model calibration, but customising the coefficients was slightly more effective. The Hosmer-Lemeshow chi(2)-value improved from 306.0 (p< 0.001) before, to 14.5 (p < 0.07) and 23.3 (p < 0.06) after customisation of the coefficients and the logit, respectively. Discrimination was not affected. The standardised mortality ratio for the entire population declined from 1.16 (95% confidence interval: 1.13-1.20, p < 0.001) to 0.99 (95% confidence interval: 0.96-1.02, p < 0.22) after customisation of the coefficients. The uniformity-of-fit for patients grouped by operative status and comorbidities also improved, but remained imperfect for patients stratified by location before intensive care unit admission. Amalgamation of large, regional databases could provide the basis for the re-calibration of standard prognostic models, which could then be used as a national reference system to allow more reliable comparisons of the efficacy and quality of care based on severity adjusted outcome measures.

Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system.

STUDY OBJECTIVES: To evaluate the acute physiology, age, chronic health evaluation III (APACHE III) scoring system in the context of general adult ICUs in the United Kingdom. DESIGN: Prospective, noninterventional, cohort study. SETTING: Seventeen general adult ICUs in a discrete area of southwest England. PATIENTS: 12,793 patients admitted between April 1, 1993 and December 31, 1995. MEASUREMENTS: Sociodemographic and severity-of-illness data were collected for all patients admitted to the study units. Formal goodness-of-fit tests were applied and observed mortality was compared with that predicted by using the APACHE III system. RESULTS: For the group of ICUs as a whole, the risk-adjusted standardized mortality ratio (SMR) was 1.23 (95% confidence intervals, 1.12-1.25). For 11 out of 17 ICUs, the SMR was significantly greater than unity (p < 0.05). Calibration, as tested by Hosmer-Lemeshow statistics, was poor (H2 = 312.54; C2 = 332.85; df = 8; p < 0.01); however, model discrimination was good with a total correct classification rate of 82.9% and an area under the receiver operating characteristic curve of 0.89. CONCLUSIONS: The excess mortality observed after case-mix adjustment using the APACHE III system in this study may be the result of either poor intensive care performance as compared with the United States or a failure of the APACHE III equation to fit the UK data.

Analysis of intensive care populations to select possible candidates for high dependency care.

OBJECTIVES: To identify the proportion, and range across intensive care units, of intensive care patients who might potentially be managed on a high dependency unit (HDU) using three different classification systems. METHODS: 8095 adult patients admitted to 15 intensive care units in the south of England between 1 April 1993 and 31 December 1994 were studied. Patients were identified as potential HDU admissions if their APACHE III derived risk of hospital mortality was < or =10%, if they were categorised as a low risk monitor (LRM) patient using the Wagner risk stratification method, or if they did not require advanced respiratory support (ARS). RESULTS: 4146 patients (51.2%) had an APACHE III derived risk of hospital death of < or =10%, 1687 (20.8%) were classified as LRM, and 3860 (47.7%) did not receive ARS. The values for each intensive care unit ranged from 32.8-63.3% (APACHE III group), 7.2-29.9% (LRM group), and 14.4-68.2% (ARS group). No matter which of the three methods was used, there were significant differences between the 15 units (p<0.0001) with regard to the number of potential HDU patients identified within the scored population. CONCLUSIONS: The percentage of intensive care patients who might be more appropriately managed in a HDU varies considerably between hospitals, and depends upon both local circumstances and the method used to define a high dependency patient. However, whichever method is used, it appears that significant numbers of patients of low dependency status currently fill intensive care beds in the units studied. If these analyses are correct, the perceived national shortage in intensive care beds might be improved by the development of HDUs.