Attitudes of Parents and Health Care Workers to Major Surgery for High-Risk Preterm Infants.

OBJECTIVES: To assess preferences of health care workers (HCWs) and parents of term and preterm infants to adverse health outcomes, and how perceived surgical mortality influences decision-making. STUDY DESIGN: A total of 536 participants (157 HCWs, 201 parents of term infants, and 178 parents of preterm infants) were recruited to take part in a structured interview. Preferences related to treatment of a critically ill preterm infant with necrotizing enterocolitis were measured by health state rank permutation analysis and pivotal risk analysis. Between-group and subgroup comparisons were performed. RESULTS: HCWs rank adverse health states less favorably than parents of preterm infants, consistently ranking 2 of the most adverse health states worse than death. Pivotal risk values of HCWs for all health states were consistently the lowest of the 3 groups. High operative mortality was associated uniformly with reduction in pivotal risks for all groups both in favorable and adverse health states. Subgroup analyses revealed significant discrepancies in preferences between fathers and mothers as well as doctors and nurses. Regular religious practice was significantly associated with increased pivotal risks in parental subgroups. CONCLUSIONS: As discrepancies in health state preferences existed between subgroups (ie, doctors vs nurses, mothers vs fathers) and perceived operative mortality consistently biased parental and HCW health state preferences, we recommend that HCWs should first identify differences regarding patient management before interviewing the parents together. HCWs should be aware of inadvertently biasing parents when discussing the risks and outcomes of surgery in conjunction with the overall long-term prognosis of the underlying condition.

Early diagnosis of intra-abdominal inflammation and sepsis by neutrophil CD64 expression in newborns.

BACKGROUND: Newborn infants with intra-abdominal inflammation/sepsis often present with nonspecific signs in the early stages of the disease, but can rapidly develop life-threatening complications. A reliable 'early' biomarker would be invaluable. OBJECTIVE: To evaluate the effectiveness of neutrophil CD64 as an 'early' biomarker of intra-abdominal inflammation/sepsis. METHODS: Blood was collected from newborns with suspected intra-abdominal pathology for neutrophil CD64 and C-reactive protein (CRP) determination at the onset of clinical presentation and 24 h later. They were classified into three groups: intra-abdominal inflammation/sepsis (group 1), extra-abdominal sepsis (group 2) and nonsepsis (group 3). Between-group comparisons were made by Kruskal-Wallis and χ(2) tests. Receiver-operating characteristic curves and diagnostic utilities for single and combination of tests were determined. RESULTS: 310 infants were recruited (102, 34 and 174 in groups 1, 2 and 3, respectively). CD64 (conventional cutoff = 6,010 antibody-PE molecules bound/cell) had substantially better sensitivity (0.81 vs. 0.56) and negative predictive value (0.90 vs. 0.79) for diagnosing intra-abdominal sepsis than CRP, at presentation. Pairing CD64 with routine abdominal radiograph (AXR) substantially increased the sensitivity and negative predictive value for group 1 to 0.99 and 0.99, respectively. By adjusting the CD64 cutoff to 12,500 units, a substantial improvement in specificity could be achieved (0.62 to 0.80) without significantly compromising sensitivity (0.99 to 0.97). CONCLUSIONS: CD64 is a sensitive and 'early' biomarker for diagnosing intra-abdominal inflammation/sepsis. Intra-abdominal catastrophes, including necrotizing enterocolitis, intestinal necrosis, perforation and peritonitis can confidently be excluded using CD64 and AXR early in the course of the disease.

Attitudes toward neonatal intensive care treatment of preterm infants with a high risk of developing long-term disabilities.

OBJECTIVES: To assess (1) the differences in attitudes toward disabilities of 3 groups of subjects involved in neonatal care decision-making: health care workers, mothers of term infants, and parents of preterm infants, and (2) the impact of subject characteristics on these attitudes including parental education level, religion, and severity of disability. METHODS: Five hundred seventy-eight subjects were interviewed, of whom 135 were health care workers, 155 were mothers of term infants, and 288 were parents of preterm infants. We assessed between-group differences of the (1) health state ranking permutations, (2) proportion of subjects willing to save the infant at all costs, (3) pivotal risks of each group to the 5 health states comprising varying combinations of mental, physical, and social disabilities, and (4) impact of personal characteristics on decision-making. RESULTS: Most health care workers ranked the most severe disability health state as worse than death, whereas most parents of preterm infants ranked death as the worst outcome. Significantly more parents of preterm infants chose to save the infant at all costs, compared with mothers of term infants and health care workers, and the pivotal risks of the parents of preterm infants group were highest for all health states. Religious worship was associated with increased probability of saving at all costs and pivotal risks. Increased severity of neonatal complications was associated with decreased probability of saving at all costs and pivotal risks in parents of preterm infants. CONCLUSIONS: Our findings suggest that parents of preterm infants as a group were most likely to save the infant at all costs and prepared to tolerate more severe disability health states. However, personal characteristics, in particular religious belief and severity of neonatal complications, have overriding influence on these attitudes. We suggest inclusion of experienced parents of preterm infants for more effective counseling of parents in making life-and-death decisions.

A longitudinal study to establish the normative value and to evaluate perinatal factors affecting intraocular pressure in preterm infants.

PURPOSE: To establish a normative range of intraocular pressure (IOP) in preterm infants and to identify important perinatal factors that could affect the IOP during the early weeks of neonatal life. METHODS: The IOP of 104 preterm infants, with a median (interquartile range) gestational age of 29.8 (28.7-30.9) weeks and birth weight of 1208 (1049-1370) g, were assessed in a university-affiliated tertiary neonatal center. These infants had IOP measured by a handheld tonometer at 1, 4, 6, 8, and 10 weeks of postnatal age. The mixed-effects models were used to evaluate the longitudinal IOP measurements and to identify critical perinatal factors that would significantly affect the ocular pressure. RESULTS: A percentile chart of IOP in preterm infants was constructed, and the median (10th-90th percentile) IOP ranged from 16.9 (12.3-21.5) to 14.6 (10.1-19.2) mm Hg at 26.1 and 46.4 weeks of postconceptional age, respectively. The IOP was significantly and negatively associated with postconceptional age (P < 0.001), mean blood pressure (P = 0.01), Apgar score at 1 minute (P = 0.04), and use of inhaled corticosteroids (P = 0.03), but was positively correlated with the commencement of high-frequency oscillatory ventilation (P = 0.01). CONCLUSIONS: A quantitative statistical model has been developed and a percentile chart of IOP constructed for preterm infants that could be used for future reference. Pediatric ophthalmologists and neonatal clinicians can compare the IOP of preterm infants against this chart and make relevant quantitative adjustments for critical perinatal factors so that the IOP may be properly evaluated, both in healthy and ill infants.

Flexible modeling via a hybrid estimation scheme in generalized mixed models for longitudinal data.

To circumvent the computational complexity of likelihood inference in generalized mixed models that assume linear or more general additive regression models of covariate effects, Laplace's approximations to multiple integrals in the likelihood have been commonly used without addressing the issue of adequacy of the approximations for individuals with sparse observations. In this article, we propose a hybrid estimation scheme to address this issue. The likelihoods for subjects with sparse observations use Monte Carlo approximations involving importance sampling, while Laplace's approximation is used for the likelihoods of other subjects that satisfy a certain diagnostic check on the adequacy of Laplace's approximation. Because of its computational tractability, the proposed approach allows flexible modeling of covariate effects by using regression splines and model selection procedures for knot and variable selection. Its computational and statistical advantages are illustrated by simulation and by application to longitudinal data from a fecundity study of fruit flies, for which overdispersion is modeled via a double exponential family.