Nutrition Delivery Affects Outcomes in Pediatric Acute Respiratory Distress Syndrome

Background: Malnutrition is prevalent in critically ill children. We aim to describe nutrition received by children with acute respiratory distress syndrome (ARDS) and to determine whether provision of adequate nutrition is associated with improved clinical outcomes. Materials and Methods: We studied characteristics and outcomes of 2 groups of patients: (1) those who received adequate calories (defined as ≥80% of predicted resting energy expenditure) and (2) those who received adequate protein (defined as ≥1.5g/kg/d of protein). Outcomes of interest were mortality, ventilator‐free days (VFDs), intensive care unit (ICU)–free days, multiorgan dysfunction, and need for extracorporeal membrane oxygenation. Categorical variables were analyzed using the Fisher exact test, and continuous variables were analyzed using the Mann‐Whitney U test. Univariate and multivariate logistic regression models were used to identify associated risk factors related to these outcomes of interest. Results: In total, 107 patients with ARDS were identified. There was a reduction in ICU mortality in patients who received adequate calories (34.6% vs 60.5%, P = .025) and adequate protein (14.3% vs 60.2%, P = .002) compared with those that did not. Patients with adequate protein intake also had more VFDs (median [interquartile range], 12 [3.0–19.0] vs 0 [0.0–14.8] days; P = .005). After adjusting for severity of illness, adequate protein remained significantly associated with decreased mortality (adjusted odds ratio [95% confidence interval], 0.09 [0.01–0.94]; P = .044). Conclusion: Our study demonstrated that adequate nutrition delivery in children with ARDS was associated with improved clinical outcomes. Protein delivery may have potentially more impact than overall caloric delivery.     

Affluence and Breast Cancer

High income, high socioeconomic status, and affluence increase breast cancer incidence. Socioeconomic status in USA breast cancer studies has been assessed by block‐group socioeconomic measures. A block group is a portion of a census tract with boundaries that segregate, as far as possible, socioeconomic groups. In this study, we used US Census income data instead of block groups to gauge socioeconomic status of breast cancer patients in relationship with incidence, prognostic markers, and survival. US state breast cancer incidence and mortality data are from the U.S. Cancer Statistics Working Group, United States Cancer Statistics: 1999–2011. Three‐Year‐Average Median Household Income by State, 2010 to 2012, is from the U.S. Census Bureau, Current Population Survey, 2011 to 2013 Annual Social and Economic Supplements. County incomes are from the 2005–2009 American Community Survey of the U.S. Census Bureau. The American Community Survey is an ongoing statistical survey that samples a small percentage of the population yearly. Its purpose is to provide communities the information they need to plan investments and services. Breast cancer county incidence and survival data are from the National Cancer Institute's Surveillance, Epidemiology and End Results Program (SEER) data base. We analyzed SEER data from 198 counties in California, Connecticut, Georgia, Hawaii, Iowa, New Mexico, Utah, and Washington. SEER uses the Collaborative Stage (CS) Data Collection System. We have retained the SEER CS variables. There was a significant relationship of income with breast cancer incidence in 50 USA states and the District of Columbia in White women (r = 0.623, p < 0.001). There was a significant relationship between node involvement and income in Whites in 198 USA counties. Income was significantly correlated with 5‐year relative survival in Whites with localized breast cancer. Income was not correlated with 5‐year survival of Black race (p = 0.364) or other races (p = 0.624). The multivariate general linear model with income as covariate, 5‐year survival by race as a dependent variable, showed a significant effect of income and White race on 5‐year survival (p < 0.001), unrelated to Black race (p = 0.780) or other races (p = 0.618). In men, we found a nonsignificant positive correlation between county breast cancer incidence and income (r = 0.098, p = 0.168). Breast cancer risk factors, such as delayed childbirth, less breast‐feeding, and use of hormone supplements, are more common in affluent women. Affluent women are more likely to have mammograms, which detect many cancers that might not otherwise be diagnosed. In addition, women in certain affluent ethnic groups—Ashkenazi Jews, Icelanders and the Dutch—are more likely to carry genetic mutations known to predispose to breast cancer. We hypothesize that women with more income can afford better cancer care and survive longer than poorer women. But our hypothesis does not explain why this effect should be limited to White women; or why node involvement increased with income in White women but not in Blacks or Hispanics. Further studies may be worthwhile.     

Development of a fragile X syndrome (FXS) knowledge scale: towards a modified multidimensional measure of informed choice for FXS population carrier screening

Background

Genetic carrier screening is increasingly possible for many conditions, but it is important to ensure decisions are informed. The multidimensional measure of informed choice (MMIC) is a quantitative instrument developed to evaluate informed choice in prenatal screening for Down syndrome, measuring knowledge, attitudes and uptake. To apply the MMIC in other screening settings, the knowledge scale must be modified.

Objective

To develop and validate a modified MMIC knowledge scale for use with women undergoing carrier screening for fragile X syndrome (FXS).

Setting and participants

Responses to MMIC items were collected through questionnaires as part of a FXS carrier screening pilot study in a preconception setting in Melbourne, Australia.

Design

Ten knowledge scale items were developed using a modified Delphi technique. Cronbach''s alpha and factor analysis were used to validate the new FXS knowledge scale. We summarized the knowledge, attitudes and informed choice status based on the modified MMIC.

Results

Two hundred and eighty‐five women were recruited, 241 eligible questionnaires were complete for analysis. The FXS knowledge scale items measured one salient construct and were internally consistent (alpha = 0.70). 71% (172/241) of participants were classified as having good knowledge, 70% (169/241) had positive attitudes and 27% (65/241) made an informed choice to accept or decline screening.

Discussion and conclusions

We present the development of a knowledge scale as part of a MMIC to evaluate informed choice in population carrier screening for FXS. This can be used as a template by other researchers to develop knowledge scales for other conditions for use in the MMIC.