BACKGROUND AND OBJECTIVES: Preterm infants experience disproportionate growth failure postnatally and may be large weight for length despite being small weight for age by hospital discharge. The objective of this study was to create and validate intrauterine weight-for-length growth curves using the contemporary, large, racially diverse US birth parameters sample used to create the Olsen weight-, length-, and head-circumference-for-age curves.METHODS: Data from 391 681 US infants (Pediatrix Medical Group) born at 22 to 42 weeks' gestational age (born in 1998-2006) included birth weight, length, and head circumference, estimated gestational age, and gender. Separate subsamples were used to create and validate curves. Established methods were used to determine the weight-for-length ratio that was most highly correlated with weight and uncorrelated with length. Final smoothed percentile curves (3rd to 97th) were created by the Lambda Mu Sigma (LMS) method. The validation sample was used to confirm results. RESULTS:The final sample included 254 454 singleton infants (57.2% male) who survived to discharge. BMI was the best overall weight-for-length ratio for both genders and a majority of gestational ages. Gender-specific BMI-for-age curves were created (n = 127 446) and successfully validated (n = 126 988). Mean z scores for the validation sample were ∼0 (∼1 SD).CONCLUSIONS: BMI was different across gender and gestational age. We provide a set of validated reference curves (gender-specific) to track changes in BMI for prematurely born infants cared for in the NICU for use with weight-, length-, and head-circumference-for-age intrauterine growth curves. WHAT'S KNOWN ON THIS SUBJECT:Preterm infants experience disproportionate growth failure postnatally and may be large weight for length despite being small weight for age by hospital discharge. There is no routinely used measure to quantify and monitor disproportionate growth in the NICU.WHAT THIS STUDY ADDS: BMI differs across gender and gestational age. We provide a set of validated reference curves to track changes in BMI for prematurely born infants for use with weight-, length-, and head-circumference-for-age intrauterine growth curves.

We present an R package, msSurv, to calculate the marginal (that is, not conditional on any covariates) state occupation probabilities, the state entry and exit time distributions, and the marginal integrated transition hazard for a general, possibly non-Markov, multistate system under left-truncation and right censoring. For a Markov model, msSurv also calculates and returns the transition probability matrix between any two states. Dependent censoring is handled via modeling the censoring hazard through observable covariates. Pointwise confidence intervals for the above mentioned quantities are obtained and returned for independent censoring from closed-form variance estimators and for dependent censoring using the bootstrap.

Multiple studies have demonstrated an advantage for hepatocellular carcinoma (HCC) patients under the current liver allocation system, such that the United Network for Organ Sharing (UNOS) recently voted in support of a proposal to delay granting Model for EndStage Liver Disease (MELD) exception points to all HCC patients for 6 months, independently of a candidate's native MELD score or alpha-fetoprotein (AFP) level. We obtained UNOS data on adult patients who were added to the wait list between January 22, 2005 and September 30, 2009, and we explored the relationship between HCC, MELD, AFP, and other factors that contribute to not only dropout on the wait list but posttransplant survival as well. The aim was to establish an equivalent Model for End-Stage Liver Disease (MELD EQ ) score for HCC patients that would reduce the disparity in access to transplantation between HCC and non-HCC patients. We determined risk groups for HCC patients with dropout hazards equivalent to those of non-HCC patients, and we evaluated projections for HCC wait-list dropout/transplantation probabilities on the basis of the MELD EQ prioritization scheme. Projections indicate that lower risk HCC patients (MELD EQ 18) would have dropout probabilities similar to those of non-HCC patients in the same MELD score range, whereas dropout probabilities for higher risk HCC patients would actually be improved. The posttransplant survival of all HCC risk groups is lower than that of their non-HCC counterparts, with 1-year survival of 0.77 (95% CI, 0.70-0.85) for MELD EQ scores ! 31. These results suggest that HCC patients with a combination of a low biochemical MELD score and a low AFP level (MELD EQ 15) would receive a marked advantage in comparison with patients with chemical MELD scores in a similar range and that a delay of 6 months for listing may be appropriate. In contrast, patients with MELD EQ scores > 15 would likely be adversely affected by a universal 6-month delay in listing. Liver Transpl 21:612-622, 2015. V C 2015 AASLD.

Background: Clinicians have observed preterm infants in the neonatal intensive care unit growing disproportionally; however, the only growth charts that have been available were from preterm infants born in the 1950s which utilized the ponderal index. Prior to creating the recently published BMI curves, we found only 1 reference justifying the use of the ponderal index. Objectives: To determine the best measure of body proportionality for assessing growth in US preterm infants. Methods: Using a dataset of 391,681 infants, we determined the body proportionality measure that was most correlated with weight and least correlated with length. We examined the sex-specific overall correlations and then stratified further by gestational age (GA). We then plotted the body proportionality measures versus length to visualize apparent discrepancies in the appropriate measure. Results: The overall correlations showed weight/length³ (ponderal index) was the best measure but stratification by GA indicated that BMI (weight/length²) was the best measure. This seeming inconsistency was due to negative correlations between ponderal index and length at each GA. BMI, on the other hand, had a correlation with length across GAs, but was uncorrelated with length within GAs. Both ponderal index and BMI were positively correlated with weight. Conclusions: BMI is the appropriate measure of body proportionality for preterm infants, contrary to current practice.

Summary Donor liver allografts with positive serology for hepatitis B core antibody [HBc (+)] have been increasingly used for liver transplantation. However, the optimal prophylactic regimen to prevent development of de novo hepatitis B has not been determined. To evaluate this, we screened United Network for Organ Sharing (UNOS) Standard Transplant Analysis and Research (STAR) registry data for adult recipients of HBc (+) organs who were HBsAg (−), and evaluated the effects of using prophylactic anti‐viral therapies (HBIG and lamivudine) on patient and graft survival. Out of a total cohort of 958 patients transplanted since 2004, 61 received HBIG alone, 116 received lamivudine alone, 66 both, 509 neither and 206 were missing this information. Based on several multivariable Cox regression models, patients receiving HBIG therapy‐only were observed to have a statistically significant (approximately 70%) reduction in risk of mortality compared with patients receiving lamivudine‐only therapy [HR = 0.29, 95% CI (0.10, 0.86), P = 0.026], and a nonstatistically significant reduction in risk of graft failure. However, no graft failures were attributed to de novo hepatitis B, suggesting that any improved graft/patient survival possibly associated with HBIG therapy occurs independently of de novo hepatitis B virus (HBV) reduction. While this study cannot prove that HBIG therapy is protective for graft and patient survival after liver transplantation, these findings do highlight the need to further examine and study prophylactic use in recipients of HBc (+) donors.