Risk factors for complications after emergency surgery for paediatric appendicitis: a national prospective observational cohort study.

Appendicectomy is a common procedure in children with a low risk of mortality, however, complication rates and risk factors are largely unknown. This study aimed to characterise the incidence and epidemiology of postoperative complications in children undergoing appendicectomy in the UK. This multicentre prospective observational cohort study, which included children aged 1-16 y who underwent surgery for suspected appendicitis, was conducted between November 2019 and January 2022. The primary outcome was 30-day postoperative morbidity. Data collected included: patient characteristics; comorbidities; and physiological status. Multivariable regression analysis was used to identify independent risk factors for poor outcomes. Data from 2799 children recruited from 80 hospitals were analysed, of which 185 (7%) developed postoperative complications. Children from black and 'other' minority ethnic groups were at significantly higher risk of poor outcomes: OR (95%CI) 4.13 (1.87-9.08), p < 0.001 and 2.08 (1.12-3.87), p = 0.021, respectively. This finding was independent of socio-economic status and type of appendicitis found on histology. Other risk factors for complications included: ASA physical status ≥ 3 (OR (95%CI) 4.05 (1.70-9.67), p = 0.002); raised C-reactive protein (OR 95%CI 1.01 (1.00-1.01), p < 0.001); pyrexia (OR (95%CI) 1.77(1.20-2.63), p = 0.004); and peri-operative oxygen supplementation (OR (95%CI) 4.20 (1.44-12.24), p = 0.009). In the UK NHS, which is a universally accessible healthcare system, ethnicity, but not socio-economic status, was associated with an increased risk of postoperative complications in children having surgery for acute appendicitis. Further evaluations and interventions are required to address this health inequality in keeping with NHS and international priorities.

Building a Community Partnership for the Development of Health Ministries Within the African American Community: The Triad Pastors Network.

African Americans continue to have worse health outcomes despite attempts to reduce health disparities. This is due, in part, to inadequate access to healthcare, but also to the health care and medical mistrust experienced by communities of color. Churches and worship centers have historically served as cultural centers of trusted resources for educational, financial, and health information within African American communities and a growing number of collaborations have developed between academic institutions and community/faith entities. Herein, we describe the infrastructure of a true and sustainable partnership developed with > 100 prominent faith leaders within the Piedmont Triad region of North Carolina for the purpose of developing or expanding existing health ministries within houses of worship, to improve health literacy and overall health long-term. The Triad Pastors Network is an asset-based partnership between the Maya Angelou Center for Health Equity at Wake Forest University School of Medicine and faith leaders in the Piedmont Triad region of North Carolina that was created under the guiding principles of community engagement to improve health equity and decrease health disparities experienced by African American communities. A partnership in which co-equality and shared governance are the core of the framework provides an effective means of achieving health-related goals in a productive and efficient manner. Faith-based partnerships are reliable approaches for improving the health literacy needed to address health disparities and inequities in communities of color.

Complicaciones y grado de dificultad de la intubación orotraqueal en la unidad de cuidados intensivos pre-post instauración de un protocolo de intubación para el paciente crítico. Estudio prospectivo y observacional / Complications and degree of difficulty of orotracheal intubation in the intensive care unit before and after the establishment of an intubation protocol for critically ill patients: A prospective, observational study

Objetivo: El objetivo de nuestro estudio fue comparar el grado de dificultad y las complicaciones relacionadas con la intubación orotraqueal en una unidad de cuidados intensivos (UCI), pre y post instauración de un protocolo de intubación basado en la guía de práctica clínica para el manejo de la vía aérea difícil específica para el paciente crítico, publicada en 2018 por la Difficult Airway Society (Reino Unido). Métodos: Estudio prospectivo, observacional, comparando todas las intubaciones realizadas en nuestra UCI en un periodo pre-protocolo (enero 2015-enero 2019) con un periodo post-protocolo (febrero 2019-julio 2022). Durante el procedimiento se registró el material utilizado para la intubación, el grado de dificultad de la intubación y las complicaciones asociadas. Resultados: Durante el periodo de estudio fueron intubados 661 pacientes: 437 en el periodo pre-protocolo (laringoscopia directa 96%) y 224 en el post-protocolo (laringoscopia directa 53%, videolaringoscopio 46%). En el periodo post-protocolo observamos una mejoría de la visión laringoscópica en comparación con el pre-protocolo (Cormack-Lehane ≥2b en el 7,6% vs 29,8%, p<0,001), y una disminución de las intubaciones calificadas de dificultad moderada-severa (6,7% vs 17,4%, p<0,001). La intubación al primer intento fue del 92,8% en el periodo post-protocolo frente al 90,2% pre-protocolo (p=0,508). No encontramos diferencias significativas en las complicaciones en los dos periodos estudiados. Conclusiones: Las intubaciones realizadas en el periodo post-protocolo se han asociado a una mejoría de la visión laringoscópica y a una menor dificultad de intubación en comparación con el periodo pre-protocolo.(AU)

Objective: The objective of our study was to compare the degree of difficulty and complications related to tracheal intubation in an intensive care unit (ICU) before and after the introduction of an intubation protocol based on the Difficult Airway Society guidelines for the management of tracheal intubation in critically ill adults, published in 2018. Methods: Prospective, observational study comparing all intubations performed in our ICU over two periods: pre-protocol (January 2015-January 2019) and post-protocol (February 2019-July 2022). The material used for intubation, the degree of difficulty, and intubation-related complications were recorded. Results: During the study period, 661 patients were intubated —437 in the pre-protocol period (96% by direct laryngoscopy) and 224 in the post-protocol period (53% with direct laryngoscopy, 46% with video laryngoscopy). We observed an improvement in laryngeal view in the post-protocol period compared to the pre-protocol period (Cormack-Lehane ≥2b in 7.6% vs 29.8%, P<.001), and a decrease in the number of moderate-to-severely difficult intubations (6.7% vs 17.4%, P<.001). The first-pass success rate was 92.8% in the post-protocol period compared to 90.2% pre-protocol (P=.508). We did not find significant differences in complications between the periods studied. Conclusions: Intubations performed in the post-protocol period were associated with improved laryngeal view and fewer cases of difficult intubation compared with the pre-protocol period.(AU)

Complications and degree of difficulty of orotracheal intubation in the Intensive Care Unit before and after the establishment of an intubation protocol for critically ill patients: a prospective, observational study.

OBJECTIVE: The objective of our study was to compare the degree of difficulty and complications related to tracheal intubation in an Intensive Care Unit (ICU) before and after the introduction of an intubation protocol based on the Difficult Airway Society guidelines for the management of tracheal intubation in critically ill adults, published in 2018. METHODS: Prospective, observational study comparing all intubations performed in our ICU over 2 periods: pre-protocol (January 2015-January 2019) and post-protocol (February 2019-July 2022). The material used for intubation, the degree of difficulty, and intubation-related complications were recorded. RESULTS: During the study period, 661 patients were intubated - 437 in the pre-protocol period (96% by direct laryngoscopy) and 224 in the post-protocol period (53% with direct laryngoscopy, 46% with video laryngoscopy). We observed an improvement in laryngeal view in the post-protocol period compared to the pre-protocol period (Cormack-Lehane ≥ 2b in 7.6% vs. 29.8%, p < 0.001), and a decrease in the number of moderate-to-severely difficult intubations (6.7% vs. 17.4%, p < 0.001). The first-pass success rate was 92.8% in the post-protocol period compared to 90.2% pre-protocol (p = 0.508). We did not find significant differences in complications between the periods studied. CONCLUSIONS: Intubations performed in the post-protocol period were associated with improved laryngeal view and fewer cases of difficult intubation compared with the pre-protocol period.

Registry-derived stage (RD-Stage) for capturing cancer stage at diagnosis for endometrial cancer.

BACKGROUND: Capture of cancer stage at diagnosis is important yet poorly reported by health services to population-based cancer registries. In this paper we describe current completeness of stage information for endometrial cancer available in Australian cancer registries; and develop and validate a set of rules to enable cancer registry medical coders to calculate stage using data available to them (registry-derived stage or 'RD-Stage'). METHODOLOGY: Rules for deriving RD-stage (Endometrial carcinoma) were developed using the American Joint Commission on Cancer (AJCC) TNM (tumour, nodes, metastasis) Staging System (8th Edition). An expert working group comprising cancer specialists responsible for delivering cancer care, epidemiologists and medical coders reviewed and endorsed the rules. Baseline completeness of data fields required to calculate RD-Stage, and calculation of the proportion of cases for whom an RD stage could be assigned, was assessed across each Australian jurisdiction. RD-Stage (Endometrial cancer) was calculated by Victorian Cancer Registry (VCR) medical coders and compared with clinical stage recorded by the patient's treating clinician and captured in the National Gynae-Oncology Registry (NGOR). RESULTS: The necessary data completeness level for calculating RD-Stage (Endometrial carcinoma) across various Australian jurisdictions varied from 0 to 89%. Three jurisdictions captured degree of spread of cancer, rendering RD-Stage unable to be calculated. RD-Stage (Endometrial carcinoma) could not be derived for 64/485 (13%) cases and was not captured for 44/485 (9%) cases in NGOR. At stage category level (I, II, III, IV), there was concordance between RD-Stage and NGOR captured stage in 393/410 (96%) of cases (95.8%, Kendall's coefficient = 0.95). CONCLUSION: A lack of consistency in data captured by, and data sources reporting to, population-based cancer registries meant that it was not possible to provide national endometrial carcinoma stage data at diagnosis. In a sample of Victorian cases, where surgical pathology was available, there was very good concordance between RD-Stage (Endometrial carcinoma) and clinician-recorded stage data available from NGOR. RD-Stage offers promise in capturing endometrial cancer stage at diagnosis for population epidemiological purposes when it is not provided by health services, but requires more extensive validation.

2D versus 3D comparison of angiographic imaging biomarkers using computational fluid dynamics simulations of contrast injections.

Quantitative angiography (QAngio) may provide hemodynamic information during neurointerventional procedures through imaging biomarkers related to contrast flow. The standard clinical implementation of QAngio is limited by projection imaging: analysis of contrast motion within complex 3D geometries is restricted to 1-2 projection views, truncating the potential wealth of imaging biomarkers related to disease progression or efficacy of treatment. To understand the limitations of 2D biomarkers, we propose the use of in-silico contrast distributions to investigate the potential benefits of 3D-QAngio within the context of neurovascular hemodynamics. Ground-truth in-silico contrast distributions were generated in two patient-specific intracranial aneurysm models, accounting for the physical interactions of contrast media and blood. A short bolus of contrast was utilized to obtain full a wash-in/ wash-out cycle within the aneurysm ROI. Simulated angiograms mimicking clinical cone-beam CT (CBCT) acquisitions were then generated, and volumetric contrast distributions were reconstructed to analyze bulk contrast flow. The ground-truth 3D-CFD, reconstructed 3D-CBCT-DSA, and 2D-DSA projections were used to extract QAngio parameters related to contrast time dilution curves, such as area under the curve (AUC), peak height (PH), mean-transit-time (MTT), time-to-peak (TTP), and time to arrival (TTA). An initial comparison of quantitative flow parameters in both 2D and 3D, in a smaller and larger aneurysm, indicated that 3D-QAngio can provide a good description of bulk flow characteristics (TTA, TTP, MTT), but recovery of integral parameters (PH, AUC) aneurysms is limited. Nonetheless, incorporation of 3D-QAngio methods may provide additional insight into our understanding of abnormal vascular flow patterns.

Prediction of obstructive sleep apnoea in children and adolescents with Down syndrome.

BACKGROUND: Obstructive sleep apnoea (OSA) is common in children and adolescents with Down syndrome (DS). Clinical guidelines recommend that all children with DS have polysomnography (PSG) for assessment of OSA by the age of 4 years, but access is limited and testing may be burdensome for children and families. METHODS: The purpose of this prospective cross-sectional cohort study was to identify a model to predict OSA in this group that could be tested in an external population to triage children and adolescents with DS for PSG. These models were based on a comprehensive set of potential predictive demographic, anthropometric, quality of life and sleep-related variables. RESULTS: The results of this study show the predictive power of a model based on the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in determining moderate-severe OSA in children and adolescents with DS. This model exhibits high sensitivity (82%), specificity (80%), positive predictive value (75%) and negative predictive value (86%). CONCLUSIONS: We demonstrate the utility of a tool containing the sleep disordered breathing subscale of the Pediatric Sleep Survey Instrument and sleep fragmentation quantified using actigraphy in identifying children and adolescents with DS who have moderate/severe OSA.

Characterizing injury patterns and outcomes in hospitalized trauma patients with non-English Language Preferences.

INTRODUCTION: Patients with Non-English Language Preferences (NELP) experience challenges navigating the US healthcare system which can lead to disparate outcomes. This study sought to investigate injury patterns and outcomes in hospitalized trauma patients with NELP. METHODS: A retrospective review was performed at a trauma center from January 2019-December 2020. An institutional database of all emergency department video consultations for interpreter services was cross-referenced with the trauma registry and comparisons were made between NELP and English-preferred (EP) speaking patients. RESULTS: During the study, 257 NELP patients were hospitalized after traumatic injury. Twenty-two percent had work related injuries compared to only 3.0% in the EP cohort (p < 0.001). When propensity score matched, there were no significant differences in ICU and hospital length of stay or mortality between NELP and EP patients. DISCUSSION: Trauma patients are linguistically diverse and understanding their injury patterns and outcomes is crucial for guiding culturally and linguistically appropriate injury prevention.

A 3D image-based modelling approach for understanding spatiotemporal processes in phosphorus fertiliser dissolution, soil buffering and uptake by plant roots.

Phosphorus (P) is a key yield-limiting nutrient for crops, but the main source of P fertiliser is finite. Therefore, efficient fertilisation is crucial. Optimal P application requires understanding of the dynamic processes affecting P availability to plants, including fertiliser dissolution rate and soil buffer power. However, standard soil testing methods sample at fixed time points, preventing a mechanistic understanding of P uptake variability. We used image-based modelling to investigate the effects of fertiliser dissolution rate and soil buffer power on P uptake by wheat roots imaged using X-ray CT. We modelled uptake based on 1-day, 1-week, and 14-week dissolution of a fixed quantity of total P for two common soil buffer powers. We found rapid fertiliser dissolution increased short-term root uptake, but total uptake from 1-week matched 1-day dissolution. We quantified the large effects root system architecture had on P uptake, finding that there were trade-offs between total P uptake and uptake per unit root length, representing a carbon investment/phosphorus uptake balance. These results provide a starting point for predictive modelling of uptake from different P fertilisers in different soils. With the addition of further X-ray CT image datasets and a wider range of conditions, our simulation approach could be developed further for rapid trialling of fertiliser-soil combinations to inform field-scale trials or management.

Zinc as a non-hormonal contraceptive: an alternative to the copper intrauterine device (IUD).

In brief: The many side effects of current contraceptives leave a large proportion of women without adequate protection. This study shows that zinc, a highly physiologically compatible metal, provides effective long-acting reversible contraception in rats, without requiring the use of hormones. Abstract: Long-acting and reversible contraceptives (LARC) are the most widely used form of female contraception worldwide; however, they have significant side effects that often result in early removal. Most LARCs are hormonal, but the use of exogenous hormones is not suitable for all women and causes side effects in many others. The copper IUD (CuIUD) is the only non-hormonal LARC, but a large proportion of users suffer severe side effects. This study proposes the use of zinc as a suitable alternative to the CuIUD. A rat intrauterine device (IUD) model was established to test the efficacy of a zinc IUD (ZnIUD) against a CuIUD. The IUD was surgically implanted into one uterine horn while the other remained untreated. Both the ZnIUD and CuIUD resulted in zero implantation sites which were significantly fewer compared to non-treated horns. Histological assessment revealed damage and inflammation in the endometrium of CuIUD-treated horns but only minor epithelial changes in ZnIUD-treated horns. This suggests ZnIUDs may not share the side effect profile of the CuIUD. To test the long-term efficacy of the ZnIUD, rats had a ZnIUD surgically implanted into both horns and cohoused with males for 3 months. These rats mated regularly but did not get pregnant, confirming long-term effectiveness. Reversibility of the ZnIUD was also established, as removal of the ZnIUD after 3 months resulted in no significant difference in the number of implantation sites between treated and untreated horns. This study demonstrated the contraceptive efficacy of zinc and its potential as a LARC.

The COVID-19 pandemic and children with PANS/PANDAS: an evaluation of symptom severity, telehealth, and vaccination hesitancy.

The current study assessed the impact of the COVID-19 pandemic on children with PANS/PANDAS, a condition characterized by sudden-onset obsessive-compulsive, tic, or restrictive eating symptoms following infection. We conducted an anonymous survey between February and June 2021 of 254 self-reported caregivers of minors with PANS/PANDAS. Caregivers answered questions regarding PANS/PANDAS symptoms, telehealth care, and intention to vaccinate their child against COVID-19. PANS/PANDAS symptoms during COVID-19 infections were assessed when applicable. Children's OCD symptoms and coercive behaviors towards caregivers, along with the caregivers' mental health, relationship satisfaction, and burden, were assessed using standardized questionnaires. A majority of respondents endorsed a negative impact on their child's friendships, relationships with extended family, hobbies, and academic skills due to the pandemic. Children with suspected or diagnosed COVID-19 experienced new or worsened psychiatric symptoms, particularly mood lability, OCD, and anxiety. Telehealth care was the preferred treatment modality if the child had mild symptoms of PANS/PANDAS. A majority of caregivers reported high levels of relationship dissatisfaction and caregiver burden. As expected, these data suggest an overall negative impact of the COVID-19 pandemic on children with PANS/PANDAS and their caregivers.

Real-time Detection of Patient Head Position and Cephalometric Landmarks from Neuro-Interventional Procedure Images Using Machine Learning for Patient Eye-Lens Dose Prediction.

A deep learning (DL) model has been developed to estimate patient-lens dose in real-time for given exposure and geometric conditions during fluoroscopically-guided neuro-interventional procedures. Parameters input into the DL model for dose prediction include the patient head shift from isocenter and cephalometric landmark locations as a surrogate for head size. Machine learning (ML) models were investigated to automatically detect these parameters from the in-procedure fluoroscopic image. Fluoroscopic images of a Kyoto Kagaku anthropomorphic head phantom were taken at various known X (transverse) and Y (longitudinal) shifts, as well as different magnification modes, to create an image database. For each image, anatomical landmark coordinate locations were obtained manually using ImageJ and are used as ground-truth labels for training. This database was then used to train the two separate ML models. One ML model predicts the patient head shift in both the X and Y directions and the other model predicts the coordinates of the anatomical landmarks. From the coordinates, the distance between these anatomical landmarks is calculated, and input into the DL dose-prediction model. Model performance was evaluated using mean absolute error (MAE) and mean absolute percentage error (MAPE) for the head-shift and landmark-coordinate models, respectively. The goal is to implement these two separate models into the Dose Tracking System (DTS) developed by our group. This would allow the DTS to automatically detect the patient head size and position for eye-lens dose prediction and eliminate the need for manual input by the clinical staff.

Initial evaluation of 2D and 3D simulated high-speed 1000 fps vascular contrast-flow image sequences using computational fluid dynamics (CFD).

Digital subtraction angiography (DSA) remains the clinical standard for detailed visualization of the neurovasculature due to its high-spatial resolution; however, detailed blood-flow quantification is impaired by its low-temporal resolution. Advances in photon-counting detector technology have led us to develop High-Speed Angiography (HSA), where x-ray images are acquired at 1000 fps for more accurate visualization and quantification of blood flow. We have implemented a physics-based optical flow method to extract such information from HSA, but validation of the angiography-derived velocity distributions is not straightforward. Computational fluid dynamics (CFD) is widely regarded as the benchmark for hemodynamic analysis, as it provides a multitude of quantitative flow parameters throughout the volume of interest. However, there are several limitations with this method related to over-simplification of boundary conditions and suboptimal meshing (spatial resolution), that make CFD simulation results an inexact criterion for validation. To overcome this issue for HSA validation, CFD was used to generate both simulated high-speed angiograms and the corresponding ground-truth 3D flow fields to better understand the relationship between the 3D volumetric-flow distribution and the 2D projected-flow distribution as is obtained with angiography, and the subsequent 2D approximation of flow velocity. Several geometries were investigated, ranging from simple pipe models to complex patient-specific aneurysms. Simulated datasets were analyzed with the optical flow algorithm, and the effects of flow divergence, quantum mottle, and intensity gradient on the calculation were evaluated. From these simulations, we can evaluate whether flow fields reconstructed from HSA are representative of significant flow patterns in the 3D vasculature.

How well do practicing radiologists interpret the results of CAD technology? A quantitative characterization.

Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28 practicing radiologists, and a second one using 25 non-professional subjects. During each trial, subjects were shown the following four pieces of information necessary for evaluating the actual probability of cancer in a given unseen mammogram: the binary decision of the CAD system as to whether the mammogram was positive for cancer, the true-positive and false-positive rates of the system, and the prevalence of breast cancer in the relevant patient population. Based only on this information, the subjects had to estimate the probability that the unseen mammogram in question was positive for cancer. Additionally, the non-professional subjects also had to decide, based on the same information, whether to recall the patients for additional testing. Both groups of subjects similarly (and significantly) overestimated the cancer probability regardless of the categorical CAD decision, suggesting that this effect is not peculiar to either group. The misestimations were not fully attributable to causes well-known in other contexts, such as base rate neglect or inverse fallacy. Non-professional subjects tended to recall the patients at high rates, even when the actual probably of cancer was at or near zero. Moreover, the recall rates closely reflected the subjects' estimations of cancer probability. Together, our results show that subjects interpret CAD system output poorly when only the probabilistic information about the underlying decision parameters is available to them. Our results also highlight the need for making the output of CAD systems more readily interpretable, and for providing training and assistance to radiologists in evaluating the output.

Presentation, clinical course and complications in trauma patients with concomitant COVID-19 infection.

BACKGROUND: This study investigated the impact of COVID-19 infection on hospitalized trauma patients. METHODS: A retrospective review of hospitalized trauma patients at a level I trauma center was performed from March-December 2020. Data pertaining to patient demographics, presentation and hospital course was compared between COVID positive and negative trauma patients. RESULTS: There were 4,912 patients and 179 (3.64%) were COVID-19 positive. Demographics and clinical presentation did not differ significantly between those with and without concomitant COVID-19. However, COVID positive trauma patients had higher rates of acute kidney injury (p = 0.016), sepsis (p = 0.016), unplanned intubation (p = 0.002) and unplanned return to the ICU (p = 0.01). The COVID positive cohort also had longer hospital stays (p < 0.01) with no significant difference in mortality. CONCLUSIONS: In the setting of an ongoing pandemic, awareness of the complications COVID positive trauma patients are predisposed to is important for providers.

Effect of diet energy level and genomic residual feed intake on bred Holstein dairy heifer growth and feed efficiency.

The objective of this study was to determine growth, feed intake, and feed efficiency of postbred dairy heifers with different genomic residual feed intake (RFI) predicted as a lactating cow when offered diets differing in energy density. Postbred Holstein heifers (n = 128, ages 14-20 mo) were blocked by initial weight (high, medium-high, medium-low, and low) with 32 heifers per block. Each weight block was sorted by RFI (high or low) to obtain 2 pens of heifers with high and low genomically predicted RFI within each block (8 heifers per pen). Low RFI heifers were expected to have greater feed efficiency than high RFI heifers. Dietary treatments consisted of a higher energy control diet based on corn silage and alfalfa haylage [HE; 62.7% total digestible nutrients, 11.8% crude protein, and 45.6% neutral detergent fiber; dry matter (DM) basis], and a lower energy diet diluted with straw (LE; 57.0% total digestible nutrients, 11.7% crude protein, and 50.1% neutral detergent fiber; DM basis). Each pen within a block was randomly allocated a diet treatment to obtain a 2 × 2 factorial arrangement (2 RFI levels and 2 dietary energy levels). Diets were offered in a 120-d trial. Dry matter intake by heifers was affected by diet (11.0 vs. 10.0 kg/d for HE and LE, respectively) but not by RFI or the interaction of RFI and diet. Daily gain was affected by the interaction of RFI and diet, with low RFI heifers gaining more than high RFI heifers when fed LE (0.94 vs. 0.85 kg/d for low and high RFI, respectively), but no difference for RFI groups when fed HE (1.16 vs. 1.19 kg/d for low and high RFI, respectively). Respective feed efficiencies were improved for low RFI compared with high RFI heifers when fed LE (10.6 vs. 11.8 kg of feed DM/kg of gain), but no effect of RFI was found when fed HE (9.4 vs. 9.5 kg of DM/kg of gain for high and low RFI, respectively). No effect of RFI or diet on first-lactation performance through 150 DIM was observed. Based on these results, the feed efficiency of heifers having different genomic RFI may be dependent on diet energy level, whereby low RFI heifers utilized the LE diet more efficiently. The higher fiber straw (LE) diet controlled intake and maintained more desirable heifer weight gains. This suggests that selection for improved RFI in lactating cows may improve feed efficiency in growing heifers when fed to meet growth goals of 0.9 to 1.0 kg of gain/d.