Tunable 2D Conjugated Porous Organic Polymer Films for Precise Molecular Nanofiltration and Optoelectronics

Structural design of 2D conjugated porous organic polymer films (2D CPOPs), by tuning linkage chemistries and pore sizes, provides great adaptability for various applications, including membrane separation. Here, four free-standing 2D CPOP films of imine- or hydrazone-linked polymers (ILP/HLP) in combination with benzene (B-ILP/HLP) and triphenylbenzene (TPB-ILP/HLP) aromatic cores are synthesized. The anisotropic disordered films, composed of polymeric layered structures, can be exfoliated into ultrathin 2D-nanosheets with layer-dependent electrical properties. The bulk CPOP films exhibit structure-dependent optical properties, triboelectric nanogenerator output, and robust mechanical properties, rivaling previously reported 2D polymers and porous materials. The exfoliation energies of the 2D CPOPs and their mechanical behavior at the molecular level are investigated using density function theory (DFT) and molecular dynamics (MD) simulations, respectively. Exploiting the structural tunability, the comparative organic solvent nanofiltration (OSN) performance of six membranes having different pore sizes and linkages to yield valuable trends in molecular weight selectivity is investigated. Interestingly, the OSN performances follow the predicted transport modeling values based on theoretical pore size calculations, signifying the existence of permanent porosity in these materials. The membranes exhibit excellent stability in organic solvents at high pressures devoid of any structural deformations, revealing their potential in practical OSN applications.

First Measurement of η Meson Production in Neutrino Interactions on Argon with MicroBooNE

We present a measurement of η production from neutrino interactions on argon with the MicroBooNE detector. The modeling of resonant neutrino interactions on argon is a critical aspect of the neutrino oscillation physics program being carried out by the DUNE and Short Baseline Neutrino programs. η production in neutrino interactions provides a powerful new probe of resonant interactions, complementary to pion channels, and is particularly suited to the study of higher-order resonances beyond the Δ(1232). We measure a flux-integrated cross section for neutrino-induced η production on argon of 3.22±0.84(stat)±0.86(syst) 10^{-41}  cm^{2}/nucleon. By demonstrating the successful reconstruction of the two photons resulting from η production, this analysis enables a novel calibration technique for electromagnetic showers in GeV accelerator neutrino experiments.

Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector

We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter |U_{μ4}|^{2} in the mass ranges 10≤m_{HNL}≤150  MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245  MeV for the νπ^{0} channel, assuming |U_{e4}|^{2}=|U_{τ4}|^{2}=0. These limits represent the most stringent constraints in the mass range 35 Collapse

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Affiliation(s)

P Abratenko Tufts University, Medford, Massachusetts 02155, USA
O Alterkait Tufts University, Medford, Massachusetts 02155, USA
D Andrade Aldana Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
L Arellano The University of Manchester, Manchester M13 9PL, United Kingdom
J Asaadi University of Texas, Arlington, Texas 76019, USA
A Ashkenazi Tel Aviv University, Tel Aviv, Israel, 69978
S Balasubramanian Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
B Baller Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Barr University of Oxford, Oxford OX1 3RH, United Kingdom
D Barrow University of Oxford, Oxford OX1 3RH, United Kingdom
J Barrow Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA Tel Aviv University, Tel Aviv, Israel, 69978
V Basque Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
O Benevides Rodrigues Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
S Berkman Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA Michigan State University, East Lansing, Michigan 48824, USA
A Bhanderi The University of Manchester, Manchester M13 9PL, United Kingdom
A Bhat University of Chicago, Chicago, Illinois 60637, USA
M Bhattacharya Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Bishai Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Blake Lancaster University, Lancaster LA1 4YW, United Kingdom
B Bogart University of Michigan, Ann Arbor, Michigan 48109, USA
T Bolton Kansas State University (KSU), Manhattan, Kansas 66506, USA
J Y Book Harvard University, Cambridge, Massachusetts 02138, USA
M B Brunetti University of Warwick, Coventry CV4 7AL, United Kingdom
L Camilleri Columbia University, New York, New York 10027, USA
Y Cao The University of Manchester, Manchester M13 9PL, United Kingdom
D Caratelli University of California, Santa Barbara, California 93106, USA
F Cavanna Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Cerati Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
A Chappell University of Warwick, Coventry CV4 7AL, United Kingdom
Y Chen SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J M Conrad Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
M Convery SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
L Cooper-Troendle University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
J I Crespo-Anadón Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
R Cross University of Warwick, Coventry CV4 7AL, United Kingdom
M Del Tutto Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
S R Dennis University of Cambridge, Cambridge CB3 0HE, United Kingdom
P Detje University of Cambridge, Cambridge CB3 0HE, United Kingdom
A Devitt Lancaster University, Lancaster LA1 4YW, United Kingdom
R Diurba Universität Bern, Bern CH-3012, Switzerland
Z Djurcic Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
R Dorrill Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
K Duffy University of Oxford, Oxford OX1 3RH, United Kingdom
S Dytman University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
B Eberly University of Southern Maine, Portland, Maine 04104, USA
P Englezos Rutgers University, Piscataway, New Jersey 08854, USA
A Ereditato University of Chicago, Chicago, Illinois 60637, USA Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J J Evans The University of Manchester, Manchester M13 9PL, United Kingdom
R Fine Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
O G Finnerud The University of Manchester, Manchester M13 9PL, United Kingdom
W Foreman Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
B T Fleming University of Chicago, Chicago, Illinois 60637, USA
D Franco University of Chicago, Chicago, Illinois 60637, USA
A P Furmanski University of Minnesota, Minneapolis, Minnesota 55455, USA
F Gao University of California, Santa Barbara, California 93106, USA
D Garcia-Gamez Universidad de Granada, Granada E-18071, Spain
S Gardiner Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Ge Columbia University, New York, New York 10027, USA
S Gollapinni Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
E Gramellini The University of Manchester, Manchester M13 9PL, United Kingdom
P Green University of Oxford, Oxford OX1 3RH, United Kingdom
H Greenlee Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L Gu Lancaster University, Lancaster LA1 4YW, United Kingdom
W Gu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
R Guenette The University of Manchester, Manchester M13 9PL, United Kingdom
P Guzowski The University of Manchester, Manchester M13 9PL, United Kingdom
L Hagaman University of Chicago, Chicago, Illinois 60637, USA
O Hen Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
C Hilgenberg University of Minnesota, Minneapolis, Minnesota 55455, USA
G A Horton-Smith Kansas State University (KSU), Manhattan, Kansas 66506, USA
Z Imani Tufts University, Medford, Massachusetts 02155, USA
B Irwin University of Minnesota, Minneapolis, Minnesota 55455, USA
M Ismail University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
C James Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
X Ji Nankai University, Nankai District, Tianjin 300071, China
J H Jo Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
R A Johnson University of Cincinnati, Cincinnati, Ohio 45221, USA
Y-J Jwa Columbia University, New York, New York 10027, USA
D Kalra Columbia University, New York, New York 10027, USA
N Kamp Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
G Karagiorgi Columbia University, New York, New York 10027, USA
W Ketchum Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Kirby Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Kobilarcik Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
I Kreslo Universität Bern, Bern CH-3012, Switzerland
M B Leibovitch University of California, Santa Barbara, California 93106, USA
I Lepetic Rutgers University, Piscataway, New Jersey 08854, USA
J-Y Li University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
K Li Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
Y Li Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
K Lin Rutgers University, Piscataway, New Jersey 08854, USA
B R Littlejohn Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
H Liu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
W C Louis Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
X Luo University of California, Santa Barbara, California 93106, USA
C Mariani Center for Neutrino Physics, Virginia Tech, Blacksburg, Viriginia 24061, USA
D Marsden The University of Manchester, Manchester M13 9PL, United Kingdom
J Marshall University of Warwick, Coventry CV4 7AL, United Kingdom
N Martinez Kansas State University (KSU), Manhattan, Kansas 66506, USA
D A Martinez Caicedo South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
S Martynenko Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Mastbaum Rutgers University, Piscataway, New Jersey 08854, USA
I Mawby University of Warwick, Coventry CV4 7AL, United Kingdom
N McConkey University College London, London WC1E 6BT, United Kingdom
V Meddage Kansas State University (KSU), Manhattan, Kansas 66506, USA
J Micallef Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA Tufts University, Medford, Massachusetts 02155, USA
K Miller University of Chicago, Chicago, Illinois 60637, USA
A Mogan Colorado State University, Fort Collins, Colorado 80523, USA
T Mohayai Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA Indiana University, Bloomington, Indiana 47405, USA
M Mooney Colorado State University, Fort Collins, Colorado 80523, USA
A F Moor University of Cambridge, Cambridge CB3 0HE, United Kingdom
C D Moore Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L Mora Lepin The University of Manchester, Manchester M13 9PL, United Kingdom
M M Moudgalya The University of Manchester, Manchester M13 9PL, United Kingdom
S Mulleriababu Universität Bern, Bern CH-3012, Switzerland
D Naples University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
A Navrer-Agasson The University of Manchester, Manchester M13 9PL, United Kingdom
N Nayak Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
M Nebot-Guinot University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
J Nowak Lancaster University, Lancaster LA1 4YW, United Kingdom
N Oza Columbia University, New York, New York 10027, USA
O Palamara Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
N Pallat University of Minnesota, Minneapolis, Minnesota 55455, USA
V Paolone University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
A Papadopoulou Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
V Papavassiliou New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
H B Parkinson University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
S F Pate New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
N Patel Lancaster University, Lancaster LA1 4YW, United Kingdom
Z Pavlovic Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
E Piasetzky Tel Aviv University, Tel Aviv, Israel, 69978
I Pophale Lancaster University, Lancaster LA1 4YW, United Kingdom
X Qian Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
J L Raaf Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
V Radeka Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Rafique Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
M Reggiani-Guzzo University of Edinburgh, Edinburgh EH9 3FD, United Kingdom The University of Manchester, Manchester M13 9PL, United Kingdom
L Ren New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
L Rochester SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J Rodriguez Rondon South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
M Rosenberg Tufts University, Medford, Massachusetts 02155, USA
M Ross-Lonergan Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
C Rudolf von Rohr Universität Bern, Bern CH-3012, Switzerland
I Safa Columbia University, New York, New York 10027, USA
G Scanavini Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
D W Schmitz University of Chicago, Chicago, Illinois 60637, USA
A Schukraft Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
W Seligman Columbia University, New York, New York 10027, USA
M H Shaevitz Columbia University, New York, New York 10027, USA
R Sharankova Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J Shi University of Cambridge, Cambridge CB3 0HE, United Kingdom
E L Snider Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Soderberg Syracuse University, Syracuse, New York 13244, USA
S Söldner-Rembold The University of Manchester, Manchester M13 9PL, United Kingdom
J Spitz University of Michigan, Ann Arbor, Michigan 48109, USA
M Stancari Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J St John Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Strauss Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
A M Szelc University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
W Tang University of Tennessee, Knoxville, Tennessee 37996, USA
N Taniuchi University of Cambridge, Cambridge CB3 0HE, United Kingdom
K Terao SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
C Thorpe Lancaster University, Lancaster LA1 4YW, United Kingdom The University of Manchester, Manchester M13 9PL, United Kingdom
D Torbunov Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
D Totani University of California, Santa Barbara, California 93106, USA
M Toups Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
Y-T Tsai SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J Tyler Kansas State University (KSU), Manhattan, Kansas 66506, USA
M A Uchida University of Cambridge, Cambridge CB3 0HE, United Kingdom
T Usher SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
B Viren Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
M Weber Universität Bern, Bern CH-3012, Switzerland
H Wei Louisiana State University, Baton Rouge, Louisiana 70803, USA
A J White University of Chicago, Chicago, Illinois 60637, USA
S Wolbers Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Wongjirad Tufts University, Medford, Massachusetts 02155, USA
M Wospakrik Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
K Wresilo University of Cambridge, Cambridge CB3 0HE, United Kingdom
W Wu University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
E Yandel University of California, Santa Barbara, California 93106, USA
T Yang Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L E Yates Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
H W Yu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
G P Zeller Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J Zennamo Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
C Zhang Brookhaven National Laboratory (BNL), Upton, New York 11973, USA

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Imine-Linked 2D Conjugated Porous Organic Polymer Films for Tunable Acid Vapor Sensing

Two-dimensional (2D) films of conjugated porous organic polymers (C-POPs) can translate the rich in-plane functionalities of conjugated frameworks into diverse optical and electronic applications while addressing the processability issues of their crystalline analogs for adaptable device architectures. However, the lack of facile single-step synthetic routes to obtain large-area high-quality films of 2D-C-POPs has limited their application possibilities so far. Here, we report the synthesis of four mechanically robust imine-linked 2D-C-POP free-standing films using a single-step fast condensation route that is scalable and tunable. The rigid covalently bonded 2D structures of the C-POP films offer high stability for volatile gas sensing in harsh environments while simultaneously enhancing site accessibility for gas molecules due to mesoporosity by structural design. Structurally, all films were composed of exfoliable layers of 2D polymeric nanosheets (NSs) that displayed anisotropy from disordered stacking, evinced by out-of-plane birefringent properties. The tunable in-plane conjugation, different nitrogen centers, and porous structures allow the films to act as ultraresponsive colorimetric sensors for acid sensing via reversible imine bond protonation. All the films could detect hydrogen chloride (HCl) gas down to 0.05 ppm, far exceeding the Occupational Safety and Health Administration's permissible exposure limit of 5 ppm with fast response time and good recyclability. Computational insights elucidated the effect of conjugation and tertiary nitrogen in the structures on the sensitivity and response time of the films. Furthermore, we exploited the exfoliated large 2D NSs and anisotropic optoelectronic properties of the films to adapt them into micro-optical and triboelectric devices to demonstrate their real-time sensing capabilities.

Clinician and patient perspectives on screening mammography among women age 75 and older: A pilot study of a novel decision aid

Objective

Supporting patient-clinician communication is key to implementing tailored, risk-based screening for older adults. Objectives of this multiphase mixed methods study were to identify factors that primary care clinicians consider influential when making screening mammography recommendations for women ≥ 75 years, develop a patient decision aid that incorporates these factors, and gather feasibility and acceptability from the patients' perspective.

Methods

Clinicians from a Mid-Atlantic practice network completed online surveys. Women in the same network completed surveys before and after receiving a tailored booklet that included information about the benefits and harms of screening for women ≥ 75 years, a breast cancer risk-estimate, and a question prompt list to support patient-clinician communication.

Results

Clinicians (N = 21) were primarily women [57.1%] and practiced family medicine [81.0%]. They cited patients' age ≥ 75 years [95.4%], comorbidity [86.4%], functional status [77.3%], cancer family history [63.6%], U.S. Preventive Services Task Force guidelines [81.8%] and new research [77.3%] as factors influencing their recommendations. Fourteen women completed baseline surveys and received personalized decision aids (Mean age = 79.1 years). Eleven completed the post-intervention survey. All were satisfied with the booklet length, 81.8% found the booklet easy to understand and 72.7% helpful in decision-making Perceived lifetime breast cancer risk decreased significantly from pre- to post-intervention (p = 0.02).

Conclusions

Results suggest this decision aid, which incorporates key decisional factors from the clinician's perspective, is feasible and acceptable to patients.

Innovation

A tailored decision aid booklet is innovative as it provides information on personalized risk and potential benefits and harms to older women considering screening.

Exploratory Qualitative Focus Group Analysis of School-based Health Center Policy Issues: Insights From State Leaders

INTRODUCTION

School-based health centers (SBHCs) provide students with critical, cost-effective access to health care. The pandemic accelerated a shift in SBHC care delivery. From the viewpoint of SBHC state leadership, this study aimed to describe changes since the last national SBHC health policy survey in 2017 through the COVID-19 pandemic.

METHOD

Leaders from state offices funding SBHCs and of School-Based Health Alliance affiliates participated in semistructured virtual focus groups in early 2022. Qualitative researchers triangulated focus group data with open-ended survey questions and performed thematic content analysis.

RESULTS

The results confirmed a priori themes of increased funding, challenges in alignment around the definition, standardization, and metrics of SBHCs, and pandemic-related changes. Emerging themes included: (1) increased mental health services, (2) a shift toward telehealth and increased access delivery models, and (3) workforce challenges.

DISCUSSION

These themes drive further exploration to sustain positive change, overcome challenges, and guide future quantitative SBHC policy analysis.

Association of Apical Spacing with Bowel Quality-of-Life: A Secondary Analysis of the Hyaluronic Acid Randomized Trial

PURPOSE/OBJECTIVE(S)

Recently, a randomized trial (NCT04189913) reported that a hyaluronic acid (HA) rectal spacer reduced acute grade 2+ gastrointestinal (GI) toxicity for hypofractionated radiation therapy (RT). However, 26.5% of patients who received the spacer experienced a minimally clinically important difference (MCID; 5 points) in EPIC bowel quality-of-life (QOL). We evaluated whether characteristics of the spacer implant, particularly apical separation, were associated with change in bowel QOL at 3-months and acute grade 1+ GI toxicity.

MATERIALS/METHODS

We conducted a secondary analysis of 136 patients randomized to receive the HA spacer. The post-spacer implant structure sets and treatment plans were analyzed. The mid-plane (MP) was defined as the prostate center-of-mass. Four horizontal planes were defined at the superior (MP +1 cm), mid-gland, inferior (MP - 1 cm), and apex of the prostate. Separations between the prostate and anterior rectal wall at midline were computed at each plane in a custom Python programming environment. Implant symmetry was computed based on a previously published method (Fischer-Valuck, PRO, 2017). The volume of rectum receiving > = 30 Gy (rV30) was extracted from DVHs; rV30 has been associated with bowel frequency, fecal incontinence, and rectal pain for hypofractionated RT (Wilkins, IJROBP, 2020). First, we evaluated whether any of the 4 separation or symmetry variables were associated with rV30. Then, we evaluated whether significant spacing variables, rV30, and baseline bowel QOL were predictive of the change in bowel QOL at 3-months using multivariate linear regression. Finally, we evaluated whether significant spacing variables and rV30 were predictive of acute grade 1+ GI toxicity (21 events) within 3-months, utilizing multivariate logistic regression.

RESULTS

The mean (standard deviation) superior, mid-gland, inferior, and apex separations were 15.6 (SD 6.0), 12.7 (3.7), 11.2 (3.7), and 9.7 (4.0), respectively. 130 of 136 (95.6%) had a symmetry score of 1 (symmetric). Apical separation was the only variable significantly associated with rV30 (r = -0.32; p < 0.01). On multivariate analysis, apical separation (0.41/mm; p = 0.01) was significantly associated with the change in bowel QOL, after adjusting for baseline bowel score (p = 0.0002) and rectum V30 (p = 0.50). Mean (SD) changes in bowel QOL were 0.01 (5.9) and -3.7 (8.1) for apical separations > = 10 vs <10 mm, respectively. Respective percentages of patients with a bowel MCID were 14.8% and 36.6% (p = 0.006). However, apical separation was not associated with increased odds of experiencing grade 1+ GI toxicity (p = 0.98), when adjusted for rectum V30 (odds ratio 1.04; p = 0.04).

CONCLUSION

Increased apical separation may be associated with improved EPIC bowel QOL at 3-months for patients who received a HA rectal spacer prior to hypofractionated RT. This finding is clinically important, because HA can be deliberately injected into the perirectal space at the level of the prostate apex.

Malignant Peripheral Nerve Sheath Tumors Activate Distinct Immunosuppressive Pathways Following Radiotherapy and are Associated with Immune Depletion In Vivo

PURPOSE/OBJECTIVE(S)

Patients with neurofibromatosis type I, caused by NF1 loss, develop benign plexiform neurofibromas (pNF) in their peripheral nervous system (PNS). Malignant transformation of pNFs into malignant peripheral nerve sheath tumors (MPNSTs) occurs following CDKN2A/B and SUZ12 loss, a process associated with radiotherapy (RT). However, the molecular mechanisms underlying RT responses by different PNS cell types remain unclear. We hypothesized normal peripheral nerve cells, pNFs, and MPNSTs harbor distinct RT responses.

MATERIALS/METHODS

Patient derived NF1 WT immortalized peripheral nerve cells (iPNs), NF1 mutant pNF cells, and NF1/CDKN2AB/SUZ12 mutant MPNST cells were used to study RT responses in vitro. CRISPRi was used to assess the functional effects of candidate gene repression. In vitro viability was measured by cell counts. Transcriptomic signatures were measured by bulk RNA-sequencing and integrated with single-cell RNA sequencing (scRNA-seq) data from patient-derived pNF and MPNST resection specimens.

RESULTS

Radiation dose response curves revealed pNF cells (IC50 0.61 Gy) were more radiosensitive than MPNST cells (4.15 Gy). WT iPNs, NF1 deficient iPNs, and pNFs cells displayed no difference in cell viability (p = 0.67; t-test) following initiation of 2 Gy x 5 fractions, while MPNST cells were significantly more viable (p = 0.02; t-test). Principal component analysis of bulk RNA-sequencing data at 5 or 14 days following 2 Gy x 5 fractions revealed cell line of origin accounted for the greatest inter-sample variation (64.9% variance), with additional components separating samples based on radiation presence and timing. Using the most variable genes in PCA space to identify markers of RT response, iPNs and pNFs upregulated pro-apoptotic pathways (BAD, DAPK3) at 5 days post-radiation while MPNST cells alone upregulated pro-survival growth factor signaling). At 14 days post radiation, MPNST cells uniquely upregulated TGFβ signaling and interferon response circuits. Incorporation of scRNA-seq data revealed enrichment of growth factor signaling and TGFβ signatures in MPNSTs compared to pNF. Moreover, MPNST harbored significantly fewer immune cells than pNFs (p = 0.008, t-test), suggesting cell-autonomous signaling and crosstalk with the microenvironment are both critical to MPNST radioresistance.

CONCLUSION

Our data indicate additional genetic hits beyond NF1 loss may be required for RT-associated malignant transformation of pNFs and radioresistance in MPNSTs. Analysis of transcriptomic responses to RT suggests that upregulated growth factor signaling and TGFβ-associated immunosuppression are distinct features of MPNST. Future work will focus on CRISPRi screens to unbiasedly nominate functional modifiers of RT response in NF1/CDKN2AB deficient tumors, which may be broadly useful in cancer.

Health-Related Quality of Life Analysis in Patients with Non-Functioning Pituitary Macroadenomas Treated with Transsphenoidal Surgery with or without Radiation Therapy

PURPOSE/OBJECTIVE(S)

The quality of life (QoL) impact of multidisciplinary treatment for patients with nonfunctioning pituitary macroadenomas (NFPMA) is unclear. We sought to assess patient-reported QoL in our institutional experience using a cross-sectional survey.

MATERIALS/METHODS

We identified 488 patients with NFPMA treated at our institution from 1980-2010 who underwent transsphenoidal surgery (TSS) with or without adjuvant salvage therapy with radiation therapy (RT) and/or surgery. The following validated patient-reported outcome measures were collected: the RAND Short Form-36 Health Survey (SF-36), the Multidimensional Fatigue Inventory (MFI-20), and the Cognitive Failures Questionnaire (CFQ). Clinical characteristics of patients who did and did not receive RT were compared using Wilcoxon rank-sum test or Fisher's exact test. We used multivariable linear regression and reported mean score differences between comparison groups.

RESULTS

The response rate to survey invitation was 47% (229 patients). Median age at the time of initial TSS was 55 years (18-85 years). 35% of patients were female. 25% of participants received RT a median of 2.0 years (0.1-22.5) after initial TSS, and 15% of patients had >1 additional surgery after initial TSS. The patients who received RT were younger (median age 46 v 58, p < 0.0001), had larger tumors (28 mm v 22 mm, p < 0.0001) and were more likely to have visual symptoms (65% v 34%, p = 0.0002 and were more likely to have hypopituitarism (93% v 62%, p < 0.0001). Patients completed QoL questionnaires a median of 7.7 years (1.3-29.9) after initial TSS, at which point patients with hypopituitarism reported worse energy and fatigue (SF-36 Energy/Fatigue: -7.95, p = 0.026) and cognitive function (CFQ: 5.35, p = 0.026). Patients who received RT reported significantly worse general health (SF-36 General Health Perceptions subscale: -8.44, p = 0.032), physical health (SF-36 Physical Health Composite: -4.07, p = 0.042), physical fatigue (MFI-20 Physical Fatigue subscale: 11.68, p = 0.024) and cognitive functioning (CFQ: 6.64, p = 0.0298). The largest QoL differences were seen in patients who experienced a financial stressor after treatment, independent of treatment type. These patients reported significantly worse QoL for most outcomes, including emotional well-being, physical and mental health, social functioning, energy level, and motivation. RT was associated with self-reported unstable/insecure or very dire financial circumstances (28% v 7%, p < 0.0001).

CONCLUSION

Hypopituitarism, radiation therapy after TSS, and financial stressors are associated with decreased QoL in several domains, and these factors may identify patients who can benefit most from early multidisciplinary care, including financial counseling and additional psychosocial support.

Radiation Therapy Knowledge and Health Literacy among Culturally Diverse Patients with Prostate Cancer Treated at a Safety-Net Hospital

PURPOSE/OBJECTIVE(S)

Shared decision making is integral to the physician-patient relationship for radiotherapy (RT) patients. It is implicit that patients both comprehend and retain information explained during consultation. However, quality and quantity of patient knowledge following this visit is unknown. The purpose of this study was to evaluate post-consultation RT knowledge and health literacy among a diverse group of patients.

MATERIALS/METHODS

Participants were patients ≥18 years old who received consultation for definitive or salvage RT to the prostate gland/fossa between April 2021 and January 2023 at an urban safety-net hospital. Following consultation, patients completed the Radiation Oncology Knowledge Assessment Survey (ROKAS), designed to measure patient understanding of proposed RT treatment (e.g., treatment frequency, length, safety) and possible short- and long-term side effects (SE). Additional measures included patients' health literacy, health numeracy (numerical medical concepts), acculturation (assimilation to the dominant culture), and socioeconomic factors. ROKAS was administered in both English and Spanish with Spanish-speaking patients offered medical translation if desired. Bivariate Pearson correlations were conducted to examine the relationships between independent variables and post-consultation RT knowledge. Two-sided t-tests were conducted to examine differences in patients' knowledge by language.

RESULTS

Overall, 39 ROKAS were completed by 24 English-speaking and 15 Spanish-speaking patients (mean age 64.4 [SD 6.8], range 52-79). The majority (93%) of patients 'agreed' or 'strongly agreed' that they understood all the RT information presented. However, only 70% of the RT questions were answered correctly with 26% of patients answering all RT questions correctly. Similarly, 95% of patients 'agreed' or 'strongly agreed' with knowing the side effects of their proposed treatment, but only 71% and 74% of short- and long-term SE questions, respectively, were answered correctly. Higher health literacy (p = 0.04) and health numeracy (p = 0.001) were significantly correlated with better understanding of short-term SE, but not with RT knowledge or long-term SE. Spanish-speaking patients had significantly lower scores of health literacy (p = 0.001) and understanding of long-term (p = 0.01), but not short-term SE.

CONCLUSION

There is a significant gap between perceived and measured knowledge of RT treatment and SE in patients who receive consultation for RT to the prostate gland/fossa. Health literacy was significantly associated with improved knowledge of RT and short-term SE. Spanish-speaking patients had poorer understanding of long-term SE than English-speaking patients. Efforts to identify gaps in patient health literacy are needed to target those at risk and ensure that culturally diverse patient populations can engage in shared decision making with their providers.

An In Silico study of a One-Day One-Machine Workflow for Definitive Radiotherapy Cases on a Novel Simulation and Treatment Platform

PURPOSE/OBJECTIVE(S)

The workflow in Radiotherapy (RT) has largely unchanged for the past three decades, despite increasing evidence suggesting that delayed access to RT, including the wait time between consultation, simulation, and treatment appointments, can negatively impact clinical outcomes. In this pilot study, we present preliminary results of an in silico study that demonstrate the feasibility of a novel RT platform, which integrates simulation into the treatment process and enables patients to receive immediate RT after their initial RT consultation.

MATERIALS/METHODS

A prospective clinical study has been approved to assess the capabilities of a novel RT platform with a high quality CBCT system for imaging guidance as well as planning. This new platform enables a novel clinical workflow that allows clinicians to review contours and plans created on diagnostic CT images prior to the initial RT consultation and allow them to approve new plans adapted on the actual simulation dataset acquired on the first treatment fraction. Four patients receiving standard of care RT (three abdomen and one thorax) consented for this study and underwent additional experimental CBCT simulation on the new platform in addition to their standard CT simulation. The CBCT simulation was taken in two setups: with a specific mold on a flat couch and without a mold on a curved couch. To demonstrate the equivalence of the new workflow to the current standard of care, the plan created on the most recent diagnostic CT images was compared to the plans adapted on the experimental simulation images and the standard CT simulation images, using a knowledge-based model. Contours were propagated from approved datasets to the new datasets through deformable image registration.

RESULTS

All experimental simulations were completed between 14 and 21 minutes with the assistance of two therapists. The contouring, editing, and replanning process took less than one hour in all cases, in line with our experience and peer-reviewed literature. Despite notable anatomical changes observed, the dose-volume histograms (DVH) were consistent, as shown in Table 1.

CONCLUSION

The novel workflow presented herein was feasible and demonstrates that the integration of simulation with image-guided RT on one single platform may unlock the potential of accelerating the RT workflow and reducing the wait time for treatment from weeks to hours.

Electronic health record "gag clauses" and the prevalence of screenshots in peer-reviewed literature

OBJECTIVE

To determine whether the Office of the National Coordinator's policy change restricting the use of "gag clauses" in contracts between electronic health record (EHR) vendors and healthcare facilities increased the prevalence of screenshots in peer-reviewed literature.

MATERIALS AND METHODS

We reviewed EHR usability and safety-related peer-reviewed journal articles from 2015 to 2023 and quantified the number of articles containing screenshots. For those that did not contain screenshots, we identified whether they would have benefited from screenshots.

RESULTS

When gag clauses were permitted 6 of 79 (7.6%) of articles contained screenshots and 8 (10.1%) would have benefited from screenshots. When gag clauses were restricted 3 of 40 (7.5%) contained screenshots and 8 (20%) would have benefited from screenshots.

DISCUSSION

The policy change does not appear to have an impact on the prevalence of screenshots in peer-reviewed literature.

CONCLUSIONS

Additional steps are necessary to promote the use of screenshots in peer-reviewed literature.

First Double-Differential Measurement of Kinematic Imbalance in Neutrino Interactions with the MicroBooNE Detector

We report the first measurement of flux-integrated double-differential quasielasticlike neutrino-argon cross sections, which have been made using the Booster Neutrino Beam and the MicroBooNE detector at Fermi National Accelerator Laboratory. The data are presented as a function of kinematic imbalance variables which are sensitive to nuclear ground-state distributions and hadronic reinteraction processes. We find that the measured cross sections in different phase-space regions are sensitive to different nuclear effects. Therefore, they enable the impact of specific nuclear effects on the neutrino-nucleus interaction to be isolated more completely than was possible using previous single-differential cross section measurements. Our results provide precision data to help test and improve neutrino-nucleus interaction models. They further support ongoing neutrino-oscillation studies by establishing phase-space regions where precise reaction modeling has already been achieved.

Variation in Rates of Post-Mastectomy Radiotherapy Among Women with Early Invasive Breast Cancer in England and Wales: A Population-Based Cohort Study

AIMS

This study examined whether patterns of post-mastectomy radiotherapy (PMRT) among women with early invasive breast cancer (EIBC) varied within England and Wales and explored the role of different patient factors in explaining any variation.

MATERIALS AND METHODS

The study used national cancer data on women aged ≥50 years diagnosed with EIBC (stage I-IIIa) in England and Wales between January 2014 and December 2018 who had a mastectomy within 12 months of diagnosis. A multilevel mixed-effects logistic regression model was used to calculate risk-adjusted rates of PMRT for geographical regions and National Health Service acute care organisations. The study examined the variation in these rates within subgroups of women with different risks of recurrence (low: T1-2N0; intermediate: T3N0/T1-2N1; high: T1-2N2/T3N1-2) and investigated whether the variation was linked to patient case-mix within regions and organisations.

RESULTS

Among 26 228 women, use of PMRT increased with greater recurrence risk (low: 15.0%; intermediate: 59.4%; high: 85.1%). In all risk groups, use of PMRT was more common among women who had received chemotherapy and decreased among women aged ≥80 years. There was weak or no evidence of an association between use of PMRT and comorbidity or frailty, for each risk group. In women with an intermediate risk, unadjusted rates of PMRT varied substantially between geographical regions (range 40.3-77.3%), but varied less for the high-risk (range 77.1-91.6%) and low-risk groups (range 4.1-32.9%). Adjusting for patient case-mix reduced the variation in regional and organisational PMRT rates to a small degree.

CONCLUSIONS

Rates of PMRT are consistently high across England and Wales among women with high-risk EIBC, but variation exists across regions and organisations for women with intermediate-risk EIBC. Effort is required to reduce unwarranted variation in practice for intermediate-risk EIBC.

Co-Design with Patients for Improving Patient Safety: Strategies, Barriers and pitfalls

What happens when "frontline" workers are patients and family members performing health-related tasks? As more and more complex healthcare tasks are performed by patients and family members, and more emphasis is placed on patient- and family-centered care, strategies are needed to engage patients and family members in co-design "work systems" and patient-professional collaborative work. Human factors professionals are well-equipped to apply participatory ergonomics to patient and collaborative tasks. However, there are a number of barriers and pitfalls in engaging patients in design. Moving from tokenism to meaningful engagement in research requires patience, constant reflection, and a commitment to codesign. Our panel will explore the continuum of engagement and strategies to move from tokenism to partnership to cocreation in patient safety research, ranging from ambulatory medication safety to diagnosis in the emergency department. Strategies and barriers are presented as a starting point to discuss how to achieve effective work system designs.

National Center for Health Statistics' 2019 Research and Development Survey, RANDS 3

Objective This report on the third round of the Research and Development Survey (RANDS 3) provides a general description of RANDS 3 and presents percentage estimates of selected demographic and health-related variables from the overall sample and by one set of experimental groups embedded in the survey. Statistical tests comparing estimates for the two randomized groups were conducted to evaluate the randomization. Methods NORC at the University of Chicago conducted RANDS 3 for the National Center of Health Statistics in 2019 using its AmeriSpeak Panel in web-only mode. To assess question-response patterns, probe questions and four sets of experiments were embedded in RANDS 3, with panelists randomized into two groups for each set of experiments. Participants in each group received questions with differences in wording, question-andresponse formats, or question order. Results Of the 4,255 people sampled, 2,646 completed RANDS 3 for a completion rate of 62.2% and a weighted cumulative response rate of 18.1%. Iterative raking was performed using demographic and selected health condition variables to calibrate the RANDS 3 sample to 2019 National Health Interview Survey (NHIS) estimates. As a result, the overall demographic distribution and percentages of asthma, diabetes, hypertension, and high cholesterol for the calibrated RANDS 3 sample aligned with the percentages estimated from the 2019 NHIS. The distributions of demographic and healthrelated variables were comparable between the two randomized groups examined except for ever-diagnosed hypertension. Conclusion As part of a research series using probability-based survey panels, RANDS 3 included health-related questions with a focus on disability and opioids. Because RANDS is an ongoing research platform, a variety of persistent and emergent research questions relating to survey methodology will continue to be examined in current and future rounds of RANDS.

Evaluating Osteoarthritis Management Programs: outcome domain recommendations from the OARSI Joint Effort Initiative

OBJECTIVE

To develop sets of core and optional recommended domains for describing and evaluating Osteoarthritis Management Programs (OAMPs), with a focus on hip and knee Osteoarthritis (OA).

DESIGN

We conducted a 3-round modified Delphi survey involving an international group of researchers, health professionals, health administrators and people with OA. In Round 1, participants ranked the importance of 75 outcome and descriptive domains in five categories: patient impacts, implementation outcomes, and characteristics of the OAMP and its participants and clinicians. Domains ranked as "important" or "essential" by ≥80% of participants were retained, and participants could suggest additional domains. In Round 2, participants rated their level of agreement that each domain was essential for evaluating OAMPs: 0 = strongly disagree to 10 = strongly agree. A domain was retained if ≥80% rated it ≥6. In Round 3, participants rated remaining domains using same scale as in Round 2; a domain was recommended as "core" if ≥80% of participants rated it ≥9 and as "optional" if ≥80% rated it ≥7.

RESULTS

A total of 178 individuals from 26 countries participated; 85 completed all survey rounds. Only one domain, "ability to participate in daily activities", met criteria for a core domain; 25 domains met criteria for an optional recommendation: 8 Patient Impacts, 5 Implementation Outcomes, 5 Participant Characteristics, 3 OAMP Characteristics and 4 Clinician Characteristics.

CONCLUSION

The ability of patients with OA to participate in daily activities should be evaluated in all OAMPs. Teams evaluating OAMPs should consider including domains from the optional recommended set, with representation from all five categories and based on stakeholder priorities in their local context.

First Measurement of Quasielastic Λ Baryon Production in Muon Antineutrino Interactions in the MicroBooNE Detector

We present the first measurement of the cross section of Cabibbo-suppressed Λ baryon production, using data collected with the MicroBooNE detector when exposed to the neutrinos from the main injector beam at the Fermi National Accelerator Laboratory. The data analyzed correspond to 2.2×10^{20} protons on target running in neutrino mode, and 4.9×10^{20} protons on target running in anti-neutrino mode. An automated selection is combined with hand scanning, with the former identifying five candidate Λ production events when the signal was unblinded, consistent with the GENIE prediction of 5.3±1.1 events. Several scanners were employed, selecting between three and five events, compared with a prediction from a blinded Monte Carlo simulation study of 3.7±1.0 events. Restricting the phase space to only include Λ baryons that decay above MicroBooNE's detection thresholds, we obtain a flux averaged cross section of 2.0_{-1.7}^{+2.2}×10^{-40}  cm^{2}/Ar, where statistical and systematic uncertainties are combined.

Toxicity and feasibility of vincristine, etoposide, and carboplatin alternating with vincristine, doxorubicin, and cyclophosphamide in children with advanced retinoblastoma in Guatemala

Retinoblastoma is highly curable, with event-free survival (EFS) of greater than 95% in high-income countries. However, in lower middle-income countries, outcomes of EFS are 30%-60% due to delayed diagnosis and lack of resources resulting in extra-ocular disease. We report the toxicity profile and outcomes of intensified therapy for advanced retinoblastoma: vincristine, etoposide, carboplatin (VEC) alternating with vincristine, doxorubicin, and cyclophosphamide (VDoCx) in Guatemala. Compared to VEC alone, similar rates of neutropenia, anemia, and thrombocytopenia were seen, with no toxic deaths. Although survival was not a primary objective, a modest survival benefit supports further investigation of VEC+VDoCx for advanced retinoblastoma.

The Association Between Survival and Receipt of Post-mastectomy Radiotherapy According to Age at Diagnosis Among Women With Early Invasive Breast Cancer: A Population-Based Cohort Study

AIMS

Clinical trials of post-mastectomy radiotherapy (PMRT) for early invasive breast cancer (EIBC) have included few older women. This study examined whether the association between overall survival or breast cancer-specific survival (BCSS) and receipt of PMRT for EIBC altered with age.

MATERIALS AND METHODS

The study used patient-level linked cancer registration, routine hospital and radiotherapy data for England and Wales. It included 31 243 women aged ≥50 years diagnosed between 2014 and 2018 with low- (T1-2N0), intermediate- (T3N0/T1-2N1) or high-risk (T1-2N2/T3N1-2) EIBC who received a mastectomy within 12 months from diagnosis. Patterns of survival were analysed using a landmark approach. Associations between overall survival/BCSS and PMRT in each risk group were analysed with flexible parametric survival models, which included patient and tumour factors; whether the association between PMRT and overall survival/BCSS varied by age was assessed using interaction terms.

RESULTS

Among 4711 women with high-risk EIBC, 86% had PMRT. Five-year overall survival was 70.5% and BCSS was 79.3%. Receipt of PMRT was associated with improved overall survival [adjusted hazard ratio (aHR) 0.75, 95% confidence interval 0.64-0.87] and BCSS (aHR 0.78, 95% confidence interval 0.65-0.95) compared with women who did not have PMRT; associations did not vary by age (overall survival, P-value for interaction term = 0.141; BCSS, P = 0.077). Among 10 814 women with intermediate-risk EIBC, 59% had PMRT; 5-year overall survival was 78.4% and BCSS was 88.0%. No association was found between overall survival (aHR 1.01, 95% confidence interval 0.92-1.11) or BCSS (aHR 1.16, 95% confidence interval 1.01-1.32) and PMRT. There was statistical evidence of a small change in the association with age for overall survival (P = 0.007), although differences in relative survival were minimal, but not for BCSS (P = 0.362).

CONCLUSIONS

The association between PMRT and overall survival/BCSS does not appear to be modified by age among women with high- or intermediate-risk EIBC and, thus, treatment recommendations should not be modified on the basis of age alone.

Association of Asthma With Treatments and Outcomes in Children With Critical Influenza

BACKGROUND

Hospitalization for severe influenza infection in childhood may result in postdischarge sequelae.

OBJECTIVE

To evaluate inpatient management and postdischarge sequelae in children with critical respiratory illness owing to influenza with or without preexisting asthma.

METHODS

This was a prospective, observational multicenter study of children (aged 8 months to 17 years) admitted to a pediatric intensive care or high-acuity unit (in November 2019 to April 2020) for influenza. Results were stratified by preexisting asthma. Prehospital status, hospital treatments, and outcomes were collected. Surveys at approximately 90 days after discharge evaluated postdischarge health resource use, functional status, and respiratory symptoms.

RESULTS

A total of 165 children had influenza: 56 with preexisting asthma (33.9%) and 109 without it (66.1%; 41.1% and 39.4%, respectively, were fully vaccinated against influenza). Fifteen patients with preexisting asthma (26.7%) and 34 without it (31.1%) were intubated. More patients with versus without preexisting asthma received pharmacologic asthma treatments during hospitalization (76.7% vs 28.4%). Of 136 patients with 90-day survey data (82.4%; 46 with preexisting asthma [33.8%] and 90 without it [66.1%]), a similar proportion had an emergency department/urgent care visit (4.3% vs 6.6%) or hospital readmission (8.6% vs 3.3%) for a respiratory condition. Patients with preexisting asthma more frequently experienced asthma symptoms (78.2% vs 3.3%) and had respiratory specialist visits (52% vs 20%) after discharge. Of 109 patients without preexisting asthma, 10 reported receiving a new diagnosis of asthma (11.1%).

CONCLUSIONS

Respiratory health resource use and symptoms are important postdischarge outcomes after influenza critical illness in children with and without preexisting asthma. Less than half of children were vaccinated for influenza, a tool that could mitigate critical illness and its sequelae.

First Constraints on Light Sterile Neutrino Oscillations from Combined Appearance and Disappearance Searches with the MicroBooNE Detector

We present a search for eV-scale sterile neutrino oscillations in the MicroBooNE liquid argon detector, simultaneously considering all possible appearance and disappearance effects within the 3+1 active-to-sterile neutrino oscillation framework. We analyze the neutrino candidate events for the recent measurements of charged-current ν_{e} and ν_{μ} interactions in the MicroBooNE detector, using data corresponding to an exposure of 6.37×10^{20} protons on target from the Fermilab booster neutrino beam. We observe no evidence of light sterile neutrino oscillations and derive exclusion contours at the 95% confidence level in the plane of the mass-squared splitting Δm_{41}^{2} and the sterile neutrino mixing angles θ_{μe} and θ_{ee}, excluding part of the parameter space allowed by experimental anomalies. Cancellation of ν_{e} appearance and ν_{e} disappearance effects due to the full 3+1 treatment of the analysis leads to a degeneracy when determining the oscillation parameters, which is discussed in this Letter and will be addressed by future analyses.

Digital polymerase chain reaction strategies for accurate and precise detection of vector copy number in chimeric antigen receptor T-cell products

BACKGROUND AIMS

Vector copy number (VCN), an average quantification of transgene copies unique to a chimeric antigen receptor (CAR) T-cell product, is a characteristic that must be reported prior to patient administration, as high VCN increases the risk of insertional mutagenesis. Historically, VCN assessment in CAR T-cell products has been performed via quantitative polymerase chain reaction (qPCR). qPCR is reliable along a broad range of concentrations, but quantification requires use of a standard curve and precision is limited. Digital PCR (dPCR) methods were developed for absolute quantification of target sequences by counting nucleic acid molecules encapsulated in discrete, volumetrically defined partitions. Advantages of dPCR compared with qPCR include simplicity, reproducibility, sensitivity and lack of dependency on a standard curve for definitive quantification. In the present study, the authors describe a dPCR assay developed for analysis of the novel bicistronic CD19 × CD22 CAR T-cell construct.

METHODS

The authors compared the performance of the dPCR assay with qPCR on both the QX200 droplet dPCR (ddPCR) system (Bio-Rad Laboratories, Inc, Hercules, CA, USA) and the QIAcuity nanoplate-based dPCR (ndPCR) system (QIAGEN Sciences, Inc, Germantown, MD, USA). The primer-probe assay was validated with qPCR, ndPCR and ddPCR using patient samples from pre-clinical CAR T-cell manufacturing production runs as well as Jurkat cell subclones, which stably express this bicistronic CAR construct.

RESULTS

ddPCR confirmed the specificity of this assay to detect only the bicistronic CAR product. Additionally, the authors' assay gave accurate, precise and reproducible CAR T-cell VCN measurements across qPCR, ndPCR and ddPCR modalities.

CONCLUSIONS

The authors demonstrate that dPCR strategies can be utilized for absolute quantification of CAR transgenes and VCN measurements, with improved test-retest reliability, and that specific assays can be developed for detection of unique constructs.

Unplanned Admissions, Emergency Department Visits, and Epilepsy After Critical Neurological Illness Requiring Prolonged Mechanical Ventilation in Children

Background and Purpose

Long-term outcomes after pediatric neurocritical illness are poorly characterized. This study aims to characterize the frequency and risk factors for post-discharge unplanned health resource use in a pediatric neurocritical care population using insurance claims data.

Methods

Retrospective cohort study evaluating children who survived a hospitalization for an acute neurologic illness or injury requiring mechanical ventilation for >72 hours and had insurance eligibility in Colorado's All Payers Claims database. Insurance claims identified unplanned readmissions and emergency department [ED] visits during the post-discharge year. For patients without pre-existing epilepsy/seizures, we evaluated for post-ICU epilepsy identified by claim(s) for a maintenance anti-seizure medication during months 6-12 post-discharge. Multivariable logistic regression identified factors associated with each outcome.

Results

101 children, median age 3.7 years (interquartile range (IQR) .4-11.9), admitted for trauma (57%), hypoxic-ischemic injury (17%) and seizures (15%). During the post-discharge year, 4 (4%) patients died, 26 (26%) were readmitted, and 48 (48%) had an ED visit. Having a pre-existing complex chronic condition was independently associated with readmission and emergency department visit. Admission for trauma was protective against readmission. Of those without pre-existing seizures (n = 86), 25 (29%) developed post-ICU epilepsy. Acute seizures during admission and prolonged ICU stays were independently associated with post-ICU epilepsy.

Conclusions

Survivors of pediatric neurocritical illness are at risk of unplanned healthcare use and post-ICU epilepsy. Critical illness risk factors including prolonged ICU stay and acute seizures may identify cohorts for targeted follow up or interventions to prevent unplanned healthcare use and post-ICU epilepsy.

1049. Breakthrough SARS-CoV-2 Infections after Vaccination in the North Carolina COVID-19 Community Research Partnership (NC-CCRP)

Background

We characterize the incidence and risk factors of SARS-CoV-2 breakthrough infections in the NC-CCRP.

Cumulative Incidence of Breakthrough infections after Self-reported Symptomatic SARS-CoV-2 Test

Cumulative incidence curves (1 minus the unadjusted Kaplan–Meier risk), number at risk at each time point for the first self-reported symptomatic positive SARS-CoV-2 test, starting from full vaccination among participants who reported full vaccination.

Methods

The NC-CCRP is an observational cohort study assessing COVID-19 symptoms, test results, vaccination status, and risk behavior via daily email or text surveys. Cox models were used to estimate hazard rates. Fixed covariates were age at enrollment, race/ethnicity, sex, county of residence classification, vaccine product, and healthcare worker status. Time varying covariates were vaccination rate in county of residence, mask usage in the week prior, the Delta time frame, the Omicron time frame, and receipt of a vaccine booster.

Results

Among 15,808 eligible adult participants, 638 (4.0%) reported a positive SARS-CoV-2 test after vaccination from 01/15/2021 to 01/03/2022. The breakthrough rate increased with time from vaccination (Figure), with a cumulative incidence of 6.95% over 45 weeks of follow-up. Factors associated with a lower risk of breakthrough infection (p&lt; 0.05) included older age (HR 0.7 for participants 45-64 years and 0.41 for those &gt; 65 years compared to those 18-44 years), prior SARS-CoV-2 infection (HR 0.58), higher rates of mask use (HR 0.66), and receipt of a booster vaccination (HR 0.33). Higher rates of breakthrough infection were reported by participants vaccinated with BNT162b2 (HR 1.35) or Ad26.COV2.S (1.74) compared to mRNA-1273, those residing in suburban (HR 1.33) or rural (1.24) counties compared to urban counties, and during circulation of the Delta (3.54) and Omicron (16.68) variants compared to earlier time periods. There was no association of breakthrough infection with sex, race/ethnicity, healthcare worker status, or vaccination rate in the county of residence.

Conclusion

In this real-world analysis, risk of breakthrough infections increased with time since vaccination, with some variability among the specific vaccine products. Risk increased dramatically during the Omicron surge. Higher rates among younger individuals may reflect more frequent, or higher risk exposures, including those related to childcare. Significantly lower rates of breakthrough associated with mask wearing and receipt of a booster highlight specific measures that individuals can take to minimize the risk for COVID-19.

Disclosures

Michael S. Runyon, MD, MPH, Abbott Laboratories: Grant/Research Support|Roche Diagnostics Operations, Inc: Grant/Research Support.

781. COVID-19 Outcomes in the Immunocompromised Population of the COVID-19 Community Research Partnership

Background

The COVID-19 Community Research Partnership (CCRP) is a large multicenter healthcare system-based study of the COVID-19 pandemic, including factors impacting risk of infection and hospitalization. The CCRP includes a subset of immunocompromised (IC) participants with varying vaccination status over time.

Methods

We conducted an observational cohort study of 2,515 IC and 41,941 non-IC CCRP participants who contributed electronic health record data and daily electronic surveys to self-report COVID-19 symptoms, test results, and vaccinations from April 2020 to March 2022. The IC population included those with stem cell transplant, HIV, cancer, autoimmune disease, or solid organ transplant. The latter 3 must have also had an active systemic therapy to meet the IC condition (e.g. chemotherapy, immune modulator, steroid). Logistic regression was used to investigate risk of COVID-19 and hospitalization among IC participants and according to vaccine status within viral variant time periods (pre-delta, delta, omicron).

Results

IC conditions included cancer (51%), autoimmune (41%), solid organ/stem cell transplant (9%), and HIV (7%). The IC group was older and had more comorbidities. 95% of vaccine recipients received an mRNA vaccine. More vaccine breakthrough infections occurred in the IC group than non-IC group (36.1% vs 29.5%, p< 0.001). IC participants were less likely to remain COVID-19 free over time if vaccinated but not boosted (Fig 1A). However, after receiving a booster there was no difference in COVID-19 cases between the groups (Fig 1B). IC participants were more likely to be hospitalized with COVID-19 (OR 2.85; 95% CI 1.69–4.76), but vaccination reduced risk for hospitalization (OR 0.26; 95% CI 0.08–0.8). Receipt of a booster dose reduced risk of COVID-19 among IC participants during the delta wave (IRR 0.52; 95% CI 0.28–0.94) but not during omicron. However, during omicron risk of hospitalization in the IC group was reduced by a booster dose (OR 0.13; 95% CI 0.02–0.72).

Conclusion

IC individuals were at increased risk for COVID-19 hospitalizations and breakthrough infections. After receiving a booster, IC participants were conferred the same level of protection from infection as their non-IC counterparts, highlighting the importance of boosters for these individuals.

Disclosures

All Authors: No reported disclosures.

Association of Obesity and Diabetes with SARS-Cov-2 Infection and Symptoms in the COVID-19 Community Research Partnership

OBJECTIVE

Obesity and diabetes are established risk factors for severe SARS-CoV-2 outcomes, but less is known about their impact on susceptibility to COVID-19 infection and general symptom severity. We hypothesized that those with obesity or diabetes would be more likely to self-report a positive SARS-CoV-2 test, and among those with a positive test, have greater symptom severity and duration.

METHODS

Among 44,430 COVID-19 Community Research Partnership participants, we evaluated the association of self-reported and electronic health record obesity and diabetes with a self-reported positive COVID-19 test at any time. Among the 2,663 participants with a self-reported positive COVID-19 test during the study, we evaluated the association of obesity and diabetes with self-report of symptom severity, duration, and hospitalization. Logistic regression models were adjusted for age, sex, race/ethnicity, socioeconomic status, and healthcare worker status.

RESULTS

We found a positive graded association between Body Mass Index (BMI) category and positive COVID-19 test (Overweight OR = 1.14 [1.05-1.25]; Obesity I OR = 1.29 [1.17-2.42]; Obesity II OR = 1.34 [1.19-1.50]; Obesity III OR = 1.53 [1.35-1.73]), and a similar but weaker association with COVID-19 symptoms and severity among those with a positive test. Diabetes was associated with COVID-19 infection but not symptoms after adjustment, with some evidence of an interaction between obesity and diabetes.

CONCLUSIONS

While the limitations of this health system convenience sample include generalizability and selection around test-seeking, the strong graded association of BMI and diabetes with self-reported COVID-19 infection suggests that obesity and diabetes may play a role in risk for symptomatic SARS-CoV-2 beyond co-occurrence with socioeconomic factors.

Outcomes of Critically Ill Children With Acute Lymphoblastic Leukemia and Cytokine Release Syndrome Due to Chimeric Antigen Receptor T Cell Therapy: US, Multicenter PICU, Cohort Database Study

OBJECTIVES

Cytokine release syndrome (CRS) is a potentially lethal toxicity associated with chimeric antigen receptor T cell therapy for pediatric acute lymphoblastic leukemia (ALL). Outcomes after critical illness due to severe CRS are poorly described. Our aim was to characterize critical illness outcomes across a multicenter cohort of PICU patients with ALL and CRS.

DESIGN

Multicenter retrospective cohort study.

SETTING

Twenty-one PICUs contributing data to Virtual Pediatric Systems, LLC (January 2020-December 2021).

PATIENTS

PICU patients with ALL or unclassified leukemia and CRS.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We identified 55 patients; 34 (62%) were 12 years or older, 48 (87%) were admitted from a hospital inpatient ward, and 23 (42%) received advanced organ failure support or monitoring. Fifty-one survived to PICU discharge (93%) including 19 of 23 (83%) who received advanced organ failure support or monitoring defined as receipt of noninvasive or invasive ventilation, cardiopulmonary resuscitation, extracorporeal membrane oxygenation, continuous renal replacement therapy, or placement of a tracheostomy, arterial catheter, hemodialysis catheter, or intracranial catheter. Twelve patients (22%) received invasive ventilation, nine of whom survived to PICU discharge. Two of four patients who received continuous renal replacement therapy and one of three patients who required cardiopulmonary resuscitation survived to PICU discharge. Lengths of PICU stay were median 3.0 days (interquartile range, 1.4-7.8 d) among PICU survivors, 7.8 (5.4-11.1) among those receiving advanced organ failure support or monitoring, and 7.2 days (interquartile range, 2.9-14.7 d) among nonsurvivors. Of the 51 patients who survived to PICU discharge, 48 (94%) survived the hospitalization.

CONCLUSIONS

PICU patients with CRS frequently received a high level of support, and the majority survived their PICU stay and hospitalization. Additional multicenter investigations of severe CRS are necessary to inform evidence-based practice.

Question evaluation for real-time surveys: Lessons from COVID-19 data collection

The need for high-quality, real-time data has never presented itself as clearly as it did during the COVID-19 pandemic. Responding to the COVID-19 pandemic, from both a policy and a public health perspective, required timely, accurate data about the public's attitudes and behaviors from health surveillance, monitoring, and public opinion surveys. The uniqueness of the COVID-19 pandemic also created particular challenges for survey data collection, specifically, how to develop high quality survey questions on topics that had never been previously fielded. To account for this challenge, the National Center for Health Statistics adopted an iterative, two-component, mixed-method approach to question design and evaluation. The first, a cognitive interviewing study using virtual, online interviews was used to produce interpretative schemata of the response processes underlying the survey questions. The second, a two-round, mixed method survey using a statistically-sampled panel, was designed to further develop the interpretive schemata and to allow for detailed subgroup analyses. To increase the usefulness of the survey's second round, cognitive interview findings and results from the survey's first round were used to develop both open- and close-ended embedded probes. Taken together, the studies reveal the specific problems for question-design during such a novel, quickly-evolving event: 1) a lack of shared understanding of novel concepts and vocabulary, 2) the shifting reference period respondents use to think about attitudes and behaviors during a multi-year event, 3) the pervasive nature of the event that therefore frames how respondents conceptualize and process questions about unrelated topics. This iterative approach to understanding question-design problems not only allowed for the continuing improvement of COVID-19 survey items, going forward, it also provided a methodological foundation for question development for high quality, real-time data collection.

The COVID-19 Community Research Partnership: a multistate surveillance platform for characterizing the epidemiology of the SARS-CoV-2 pandemic

The COVID-19 Community Research Partnership (CCRP) is a multisite surveillance platform designed to characterize the epidemiology of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2) pandemic. This article describes the CCRP study design and methodology. The CCRP includes two prospective cohorts, one with six health systems in the mid-Atlantic and southern USA, and the other with six health systems in North Carolina. With enrollment beginning in April 2020, sites invited persons within their healthcare systems as well as community members to participate in daily surveillance for symptoms of COVID-like illnesses, testing, and risk behaviors. Participants with electronic health records (EHRs) were also asked to volunteer data access. Subsets of participants, representative of the general population and including oversampling of populations of interest, were selected for repeated at-home serology testing. By October 2021, 65 739 participants (62 261 adult and 3478 pediatric) were enrolled, with 89% providing syndromic data, 74% providing EHR data, and 70% participating in one of the two serology sub-studies. An average of 62% of the participants completed a daily survey at least once a week, and 55% of the serology kits were returned. The CCRP provides rich regional epidemiologic data and the opportunity to more fully characterize the risks and sequelae of SARS-CoV-2 infection.

Breakthrough SARS-CoV-2 Infections after Vaccination in North Carolina

We characterize the overall incidence and risk factors for breakthrough infection among fully vaccinated participants in the North Carolina COVID-19 Community Research Partnership cohort. Among 15,808 eligible participants, 638 reported a positive SARS-CoV-2 test after vaccination. Factors associated with a lower risk of breakthrough in the time-to-event analysis included older age, prior SARS-CovV-2 infection, higher rates of face mask use, and receipt of a booster vaccination. Higher rates of breakthrough were reported by participants vaccinated with BNT162b2 or Ad26.COV2.S compared to mRNA-1273, in suburban or rural counties compared to urban counties, and during circulation of the Delta and Omicron variants.

Serum lactate is associated with increased illness severity in immunocompromised pediatric hematology oncology patients presenting to the emergency department with fever

Introduction

Determining which febrile pediatric hematology/oncology (PHO) patients will decompensate from severe infection is a significant challenge. Serum lactate is a well-established marker of illness severity in general adult and pediatric populations, however its utility in PHO patients is unclear given that chemotherapy, organ dysfunction, and cancer itself can alter lactate metabolism. In this retrospective analysis, we studied the association of initial serum lactate in febrile immunosuppressed PHO patients with illness severity, defined by the incidence of clinical deterioration events (CDE) and invasive bacterial infection (IBI) within 48 hours.

Methods

Receiver operating characteristic (ROC) curves were reported using initial lactate within two hours of arrival as the sole predictor for CDE and IBI within 48 hours. Using a generalized estimating equations (GEE) approach, the association of lactate with CDE and IBI within 48 hours was tested in univariate and multivariable analyses including covariates based on Quasi-likelihood under Independence Model Criterion (QIC). Additionally, the association of lactate with secondary outcomes (i.e., hospital length of stay (LOS), intensive care unit (PICU) admission, PICU LOS, non-invasive infection) was assessed.

Results

Among 897 encounters, 48 encounters had ≥1 CDE (5%), and 96 had ≥1 IBI (11%) within 48 hours. Elevated lactate was associated with increased CDE in univariate (OR 1.77, 95%CI: 1.48-2.12, p<0.001) and multivariable (OR 1.82, 95%CI: 1.43-2.32, p<0.001) analyses, longer hospitalization (OR 1.15, 95%CI: 1.07-1.24, p<0.001), increased PICU admission (OR 1.68, 95%CI: 1.41-2.0, p<0.001), and longer PICU LOS (OR 1.21, 95%CI: 1.04-1.4, p=0.01). Elevated lactate was associated with increased IBI in univariate (OR 1.40, 95%CI: 1.16-1.69, p<0.001) and multivariable (OR 1.49, 95%CI: 1.23-1.79, p<0.001) analyses. Lactate level was not significantly associated with increased odds of non-invasive infection (p=0.09). The QIC of the model was superior with lactate included for both CDE (305 vs. 325) and IBI (563 vs. 579).

Conclusions

These data demonstrated an independent association of elevated initial lactate level and increased illness severity in febrile PHO patients, suggesting that serum lactate could be incorporated into future risk stratification strategies for this population.

[First data from a digital health app for erectile dysfunction]

PURPOSE

In a systematic data analysis, we evaluated the influence of a digital health app on erection scores as well as life quality and patient activation in a group of patients with erectile dysfunction.

METHODS

In all, 44 participants took part in an evidence-based program for patients with erectile dysfunction. The in app 12-week program included pelvic floor exercises and physiotherapeutic and cardiovascular training. In addition, there where sessions on mindfulness and sexual therapy as well as useful information about erectile dysfunction and its causes, nutrition, and risk factors. The median age was 46 years (19-75 years). All patients answered IIEF‑5, PAM-13 and QoL-Med questionnaires at the beginning and the end of the program. A total of 27 questionnaires could be evaluated at both times.

RESULTS

The average improvement in IIEF‑5 score was 4.5 points (p < 0.0001). 96% of patients showed overall improvement of erection scores. Improvement in life quality was shown in 93% of participants. Moreover, there was a significant increase in patient activation scores.

CONCLUSION

We were able to show that a multimodal digital app for self-management of erectile dysfunction improved not only erection scores but also life quality and patient activation. We concluded that it is possible to reproduce results of analog studies in a digital setting. Digital solutions can help to include patients in their treatment and to put guideline suggestions into practice.

Investigation of white blood cell characteristics in cerebrospinal fluid samples at pediatric brain tumor diagnosis

PURPOSE

The role of white blood cells (WBC) in the pediatric central nervous system (CNS) tumor microenvironment is incompletely defined. We hypothesized that the WBC profile in cerebrospinal fluid (CSF) correlates with the presence of tumor cells and prognosis in pediatric CNS tumors, as well as other patient and disease characteristics, and differs by tumor type, thus giving insight into the tumor immune response.

METHODS

We conducted a retrospective analysis of CSF WBC profiles at CNS tumor diagnosis in 269 patients at our institution. We examined total nucleated cell count, absolute counts, and percentages by WBC subtype. We compared CSF WBC values by tumor cell presence, patient vital status, tumor location, and the most common tumor types.

RESULTS

Patients who died of their tumor had a lower CSF lymphocyte percentage and a higher absolute monocyte count in CSF at diagnosis. The presence of tumor cells in CSF was associated with fewer lymphocytes and monocytes. Ventricular tumors had higher CSF lymphocyte, monocyte, macrophage, and total nucleated cell counts than extraventricular tumors. Germ cell tumors, low-grade glioma, high-grade glioma, and ependymoma had lower macrophage counts or percentages compared to other tumor types.

CONCLUSIONS

WBC profile in CSF at pediatric CNS tumor diagnosis correlates with patient prognosis and presence of metastatic cells, along with tumor type and other tumor characteristics like relationship to the ventricles. Prospective CSF profiling and study may be useful to future immunotherapy and other pediatric CNS tumor clinical trials.

Health Impairments in Children and Adolescents After Hospitalization for Acute COVID-19 or MIS-C

OBJECTIVES

To evaluate risk factors for postdischarge sequelae in children and adolescents hospitalized for acute coronavirus disease 2019 (COVID-19) or multisystem inflammatory syndrome in children (MIS-C).

METHODS

Multicenter prospective cohort study conducted in 25 United States pediatric hospitals. Patients <21-years-old, hospitalized May 2020 to May 2021 for acute COVID-19 or MIS-C with follow-up 2 to 4 months after admission. We assessed readmissions, persistent symptoms or activity impairment, and new morbidities. Multivariable regression was used to calculate adjusted risk ratios (aRR) and 95% confidence intervals (CI).

RESULTS

Of 358 eligible patients, 2 to 4 month survey data were available for 119 of 155 (76.8%) with acute COVID-19 and 160 of 203 (78.8%) with MIS-C. Thirteen (11%) patients with acute COVID-19 and 12 (8%) with MIS-C had a readmission. Thirty-two (26.9%) patients with acute COVID-19 had persistent symptoms (22.7%) or activity impairment (14.3%) and 48 (30.0%) with MIS-C had persistent symptoms (20.0%) or activity impairment (21.3%). For patients with acute COVID-19, persistent symptoms (aRR, 1.29 [95% CI, 1.04-1.59]) and activity impairment (aRR, 1.37 [95% CI, 1.06-1.78]) were associated with more organ systems involved. Patients with MIS-C and pre-existing respiratory conditions more frequently had persistent symptoms (aRR, 3.09 [95% CI, 1.55-6.14]) and those with obesity more frequently had activity impairment (aRR, 2.52 [95% CI, 1.35-4.69]). New morbidities were infrequent (9% COVID-19, 1% MIS-C).

CONCLUSIONS

Over 1 in 4 children hospitalized with acute COVID-19 or MIS-C experienced persistent symptoms or activity impairment for at least 2 months. Patients with MIS-C and respiratory conditions or obesity are at higher risk of prolonged recovery.

Cerebrospinal fluid amino acids glycine, serine, and threonine in nonketotic hyperglycinemia

Nonketotic hyperglycinemia (NKH) is caused by deficient glycine cleavage enzyme activity and characterized by elevated brain glycine. Metabolism of glycine is connected enzymatically to serine through serine hydroxymethyltransferase and shares transporters with serine and threonine. We aimed to evaluate changes in serine and threonine in NKH patients, and relate this to clinical outcome severity. Age-related reference values were developed for cerebrospinal fluid (CSF) serine and threonine from 274 controls, and in a cross-sectional study compared to 61 genetically proven NKH patients, categorized according to outcome. CSF d-serine and l-serine levels were stereoselectively determined in seven NKH patients and compared to 29 age-matched controls. In addition to elevated CSF glycine, NKH patients had significantly decreased levels of CSF serine and increased levels of CSF threonine, even after age-adjustment. The CSF serine/threonine ratio discriminated between NKH patients and controls. The CSF glycine/serine aided in discrimination between severe and attenuated neonates with NKH. Over all ages, the CSF glycine, serine and threonine had moderate to fair correlation with outcome classes. After age-adjustment, only the CSF glycine level provided good discrimination between outcome classes. In untreated patients, d-serine was more reduced than l-serine, with a decreased d/l-serine ratio, indicating a specific impact on d-serine metabolism. We conclude that in NKH the elevation of glycine is accompanied by changes in l-serine, d-serine and threonine, likely reflecting a perturbation of the serine shuttle and metabolism, and of one-carbon metabolism. This provides additional guidance on diagnosis and prognosis, and opens new therapeutic avenues to be explored.

Postdischarge health resource use in pediatric survivors of prolonged mechanical ventilation for acute respiratory illness

We aimed to identify characteristics associated with postdischarge health resource use in children without medical complexity who survived an episode of prolonged mechanical ventilation for respiratory illness. We hypothesized that longer durations of mechanical ventilation, noncomplex chronic conditions, and severe acute respiratory distress syndrome (ARDS) would be associated with readmission or an Emergency Department (ED) visit. In this retrospective cohort, we evaluated children without a complex chronic condition who survived a respiratory illness requiring ≥3 days of mechanical ventilation and who had insurance eligibility within the Colorado All Payers Claims Database. We used insurance claims to characterize health resource use and multivariable logistic regression to identify characteristics associated with readmission or an ED visit during the postdischarge year. We evaluated 82 children, median age 12.8 months (interquartile range [IQR]: 4.0-24.1), 20 (24%) with a noncomplex chronic condition and 62 (76%) without any chronic conditions. Bronchiolitis (60%) and pneumonia/aspiration pneumonitis (17%) were the most common etiologies of respiratory failure and 47 (57%) patients had severe ARDS. Forty-six (56%) patients had an ED visit or readmission. Among the 18 readmitted patients, 16/18 (89%) readmissions were for respiratory illness. Forty (49%) patients had ≥2 outpatient pulmonary visits and 45 (55%) filled a pulmonary medication prescription. In analyses controlling for age, illness severity and mechanical ventilation duration, severe ARDS was predictive of ED visit or readmission (odds ratio [OR]: 5.53 [95% confidence interval [CI]: 1.79, 19.09]). Children who survive prolonged mechanical ventilation for respiratory disease experience high rates of postdischarge health resource use, particularly those surviving severe ARDS.

P-171 Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes

Study question

What is the sensitivity of an embryo-grading artificial intelligence (AI) model to different focal planes and how do we obtain consistent scores across focal planes?

Summary answer

Test-time augmentation and ensemble modeling reduce sensitivity of the AI model to different focal planes while maintaining performance.

What is known already

When prioritizing embryos for transfer, embryologists assess the 3D morphological features under a microscope, by zooming up and down, and assign a score that reflects the embryo quality. In comparison, some AI-based embryo grading models typically take one 2D focal plane of an embryo and output a score based on that focal plane. AI models such as convolutional neural networks (CNNs) are known to be sensitive to perturbations in its input. In order to reduce sensitivity and generalization error and thus improve predictive performance, techniques such as ensemble learning and test-time augmentation can be used.

Study design, size, duration

Historical, de-identified images of blastocyst-stage embryos were collected from 11 IVF clinics in the United States for cycles between 2015-2020. 5,100 blastocysts were matched to pregnancy outcomes as determined by fetal heartbeat. 2,900 blastocysts were matched to aneuploid PGT-A results and added to the negative training group to reduce selection bias. Data was split to 70% for training and 30% for testing. A set of 10 embryos were used for focal plane sensitivity.

Participants/materials, setting, methods

A single model (ResNet18), a three-model (ResNet18), and a six-model (ResNet18 and EfficientNet-b1) ensemble with and without test-time augmentation were trained to rank embryos according to their likelihood of reaching clinical pregnancy. Test-time augmentation involved taking the average scores from 4 flipped and rotated copies of the original input image. Manual grades were mapped to numeric scores for comparison. The AUC was used to evaluate the ability of the models to rank embryos.

Main results and the role of chance

Focal plane sensitivity was calculated as the range, or difference between the maximum and minimum score, for an embryo at different focal planes. Between 12 and 100 focal plane images were available for each of the 10 embryos. On average, the focal plane range was 0.26 for the single model, 0.22 for the single model with test-time augmentation, 0.14 for a 3-model ensemble with test-time augmentation, and 0.11 for a 6-model ensemble with test-time augmentation. Test-time augmentation on the single model reduced the range by 17%; whereas ensemble modeling with test-time augmentation reduced the range by 46% for the 3-model ensemble and 60% for the 6-model ensemble. Reduction in range did not compromise performance. The AUC for the test set for all embryos was 0.73 for the single model, 0.74 for the single model with test-time augmentation, 0.75 for the three-model ensemble with test-time augmentation and 0.74 for the six-model ensemble with test-time augmentation. All models outperformed manual grading, which was estimated to have an AUC of 0.67 for all embryos.

Limitations, reasons for caution

Our analysis on focal plane sensitivity was limited to a small sample size of 10 embryos, so more samples will be needed to confirm our findings.

Wider implications of the findings

Test-time augmentation and ensemble techniques can be used to reduce sensitivity while maintaining model performance. By reducing sensitivity to different focal planes, an AI model can produce one reliable score for a single embryo as is done currently in practice with manual grading.

Trial registration number

not applicable

P-173 Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking

Study question

What is the expected improvement in pregnancy rates using an artificial intelligence (AI) model for embryo ranking compared to manual grading systems?

Summary answer

A large-scale retrospective bootstrapped analysis shows that use of an AI model for embryo ranking can improve pregnancy rates compared to manual grading.

What is known already

Embryo evaluation is one of the most important steps of an in vitro fertilization (IVF) procedure. Recently, artificial intelligence (AI) models have been developed to automate embryo analysis and reduce the subjectivity of manual grading. While models are often evaluated in terms of classification accuracy or area under the curve (AUC), a more relevant metric is improvement in pregnancy rates. Here we evaluate a previously developed model using a large-scale bootstrapped analysis of virtual patient pregnancy rates and compare its performance to manual grading.

Study design, size, duration

Historical, de-identified images of transferred blastocyst-stage embryos and manual morphology grades were collected from 11 IVF clinics in the United States for cycles started between 2015-2020. Images were captured on day 5, 6, or 7 using the inverted microscope prior to biopsy or freeze. A total of 1,776 test set images from 3-fold cross validation were used for this analysis.

Participants/materials, setting, methods

Embryos were matched by age, PGT status, and race to create 16 distinct categories. Virtual patient panels were created within each category using a random selection of 3-5 embryos. Embryos were re-used across different panels, but each individual panel was unique. Three different manual ranking systems were created incorporating the morphology grade and day of image capture. The AI and one randomly chosen manual ranking system independently selected a top embryo for each panel.

Main results and the role of chance

On average, 105,263 unique virtual patient panels were constructed from the 1,776 embryos. Within these panels, the AI model and manual ranking system selected different top embryos from each other in 27,860 cases, or 26% of the time. The average pregnancy rate of the top-ranked embryo using manual grading was 53.1%, and the average pregnancy rate of the top-ranked embryo using the AI model was 59.4%. The average pregnancy rate improvement from using the AI model was 6.3%, with a standard deviation of 0.2% measured across 10 repetitions of the simulation with different random seeds.

Limitations, reasons for caution

The primary limitation is the retrospective nature of this study. Also, this bootstrapped panel study relied on recorded manual morphology grades at the time of embryo transfer or freeze rather than on the actual selection of the top embryo in each panel by an embryologist.

Wider implications of the findings

Our results demonstrate the potential of using an AI model for embryo ranking in terms of improved pregnancy rates. Results from this large-scale bootstrapped retrospective analysis will help inform the design of future clinical validation studies.

Trial registration number

not applicable

Search for an Excess of Electron Neutrino Interactions in MicroBooNE Using Multiple Final-State Topologies

We present a measurement of ν_{e} interactions from the Fermilab Booster Neutrino Beam using the MicroBooNE liquid argon time projection chamber to address the nature of the excess of low energy interactions observed by the MiniBooNE Collaboration. Three independent ν_{e} searches are performed across multiple single electron final states, including an exclusive search for two-body scattering events with a single proton, a semi-inclusive search for pionless events, and a fully inclusive search for events containing all hadronic final states. With differing signal topologies, statistics, backgrounds, reconstruction algorithms, and analysis approaches, the results are found to be either consistent with or modestly lower than the nominal ν_{e} rate expectations from the Booster Neutrino Beam and no excess of ν_{e} events is observed.

OTHR-03. Oxaliplatin as a hearing-sparing alternative to carboplatin in tandem autologous stem cell transplants in pediatric CNS malignancy

BACKGROUND: Intensive chemotherapy with tandem autologous stem cell transplants (autoSCT) is shown to improve survival for children with CNS malignancy. Platinum-based chemotherapeutic agents in these regimens, mainly cisplatin and carboplatin, have resulted in significant sensorineural hearing loss. Oxaliplatin, a newer platinum-based agent, is considered less ototoxic. Empiric substitution of oxaliplatin for carboplatin in preparative regimens for autoSCT have been tried. However, the survival and ototoxicity outcomes have not been studied. OBJECTIVE: To compare the overall survival and ototoxicity of oxaliplatin versus carboplatin preparatory chemotherapy regimens in children who received tandem autoSCT for treatment of CNS malignancy. METHODS: We performed a retrospective chart review of all pediatric patients with primary CNS tumors who received tandem autoSCT from 2011 to 2018 at Children’s Hospital Colorado. Demographics, clinical outcomes, and medication administration records were extracted from electronic medical records. Hearing evaluations, performed at pre-transplant, after each transplant episode, and at follow-up visits, were reviewed and graded by an audiologist. Comparisons were performed using Fisher’s exact tests and log rank test statistics. RESULTS: 32 pediatric patients with CNS tumors met inclusion criteria. Seven patients received oxaliplatin in place of carboplatin in one or more preparatory regimens. There was no statistically significant difference in overall survival between the two groups (p=0.99). A total of 85 follow-up audiograms were available for assessment, including long-term follow up. Of the 13 audiograms that showed hearing loss, one (8%) had prior oxaliplatin exposure, compared to 18/72 (25%) audiograms without hearing loss had prior oxaliplatin exposure (p=0.28). CONCLUSIONS: Oxaliplatin is effective and well-tolerated when used in lieu of carboplatin in preparatory regimen for autoSCT for pediatric CNS malignancy. This study is limited by its small size. A larger, multi-center study is warranted to confirm oxaliplatin’s safety and effect on survival and ototoxicity in pediatric autoHSCT.

Change in the Use of Fractionation in Radiotherapy Used for Early Breast Cancer at the Start of the COVID-19 Pandemic: A Population-Based Cohort Study of Older Women in England and Wales

Aims

Adjuvant radiotherapy is recommended for most patients with early breast cancer (EBC) receiving breast-conserving surgery and those at moderate/high risk of recurrence treated by mastectomy. During the first wave of COVID-19 in England and Wales, there was rapid dissemination of randomised controlled trial-based evidence showing non-inferiority for five-fraction ultra-hypofractionated radiotherapy (HFRT) regimens compared with standard moderate-HFRT, with guidance recommending the use of five-fraction HFRT for eligible patients. We evaluated the uptake of this recommendation in clinical practice as part of the National Audit of Breast Cancer in Older Patients (NABCOP).

Materials and methods

Women aged ≥50 years who underwent surgery for EBC from January 2019 to July 2020 were identified from the Rapid Cancer Registration Dataset for England and from Wales Cancer Network data. Radiotherapy details were from linked national Radiotherapy Datasets. Multivariate mixed-effects logistic regression models were used to assess characteristics influential in the use of ultra-HFRT.

Results

Among 35 561 women having surgery for EBC, 71% received postoperative radiotherapy. Receipt of 26 Gy in five fractions (26Gy5F) increased from <1% in February 2020 to 70% in April 2020. Regional variation in the use of 26Gy5F during April to July 2020 was similar by age, ranging from 49 to 87% among women aged ≥70 years. Use of 26Gy5F was characterised by no known nodal involvement, no comorbidities and initial breast-conserving surgery. Of those patients receiving radiotherapy to the breast/chest wall, 85% had 26Gy5F; 23% had 26Gy5F if radiotherapy included regional nodes. Among 5139 women receiving postoperative radiotherapy from April to July 2020, nodal involvement, overall stage, type of surgery, time from diagnosis to start of radiotherapy were independently associated with fractionation choice.

Conclusions

There was a striking increase in the use of 26Gy5F dose fractionation regimens for EBC, among women aged ≥50 years, within a month of guidance published at the start of the COVID-19 pandemic in England and Wales.

First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector

We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×10^{19} protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy E_{ν} and reconstructed neutrino energy E_{ν}^{rec} and between the energy transfer ν and reconstructed hadronic energy E_{had}^{rec} are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new method that compares the E_{had}^{rec} distributions between data and a MC prediction after constraining the reconstructed muon kinematic distributions, energy, and polar angle to those of data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well modeled and underpins first-time measurements of both the total cross section σ(E_{ν}) and the differential cross section dσ/dν on argon.

Identifying Long-Term Morbidities and Health Trajectories After Prolonged Mechanical Ventilation in Children Using State All Payer Claims Data

OBJECTIVES

To identify postdischarge outcome phenotypes and risk factors for poor outcomes using insurance claims data.

DESIGN

Retrospective cohort study.

SETTING

Single quaternary center.

PATIENTS

Children without preexisting tracheostomy who required greater than or equal to 3 days of invasive mechanical ventilation, survived the hospitalization, and had postdischarge insurance eligibility in Colorado's All Payer Claims Database.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We used unsupervised machine learning to identify functional outcome phenotypes based on claims data representative of postdischarge morbidities. We assessed health trajectory by comparing change in the number of insurance claims between quarters 1 and 4 of the postdischarge year. Regression analyses identified variables associated with unfavorable outcomes. The 381 subjects had median age 3.3 years (interquartile range, 0.9-12 yr), and 147 (39%) had a complex chronic condition. Primary diagnoses were respiratory (41%), injury (23%), and neurologic (11%). We identified three phenotypes: lower morbidity (n = 300), higher morbidity (n = 62), and 1-year nonsurvivors (n = 19). Complex chronic conditions most strongly predicted the nonsurvivor phenotype. Longer PICU stays and tracheostomy placement most strongly predicted the higher morbidity phenotype. Patients with high but improving postdischarge resource use were differentiated by high illness severity and long PICU stays. Patients with persistently high or increasing resource use were differentiated by complex chronic conditions and tracheostomy placement.

CONCLUSIONS

New morbidities are common after prolonged mechanical ventilation. Identifying phenotypes at high risk of postdischarge morbidity may facilitate prognostic enrichment in clinical trials.

Medication-Related Fall (MRF) screening and scoring tool: consensus Delphi validation

Introduction

Falls are associated with negative health outcomes such as injury and mortality, as well as increased healthcare usage and costs. Risk factors for falls are multifactorial and include polypharmacy and the use of certain medications (1).

Aim

To develop and validate a medication-related fall (MRF) screening and scoring tool.

Methods

The MRF tool was developed from medication classes associated with falling in the Polypharmacy Guidance Realistic Prescribing 2018 (2), and additional medications identified and categorised by specialist and consultant pharmacists and physicians across a region of the United Kingdom. Medication classes were categorised as high-risk (three points), moderate-risk (two points) or low-risk (one point) in their ‘potential to cause falls’. The overall medication-related fall risk for the patient was determined by summing the scores for all medications. The MRF was validated using Delphi consensus methodology, whereby three iterative rounds of online surveys were conducted using SurveyMonkey®. Delphi panel experts were defined as individuals with recognised expertise in geriatric medicine and pharmacotherapy in older people. Twenty-two experts determined their agreement with the falls risk associated with each medication on a 5-point Likert scale with accompanying written feedback. Only medications with at least 75% of respondents agreeing or strongly agreeing were retained in the next round. Following the first validation round, any proposed criteria that did not meet retention requirements were removed. The second and third rounds of the survey were created based on the panel comments from the previous round.

Results

Consensus was reached for 19 medications/medication classes to be included in the final version of the MRF tool (table) and to reject eight medications/medication classes. Consensus was not reached regarding eight medications and they were not included in the final version of the tool.

Conclusion

The MRF tool is simple and feasible to use in healthcare settings to evaluate and optimise medications as a standalone screening instrument or as part of a multidisciplinary intervention to reduce fall risk and negative fall-related outcomes. The score from the MRF tool has potential for use as a clinical parameter to evaluate prescribing appropriateness.

References

(1) Public Health England (2020) Falls: applying All Our Health. Available at https://www.gov.uk/government/publications/falls-applying-all-our-health/falls-applying-all-our-health Guidance Falls: applying All Our Health. (Accessed: 4th April 2020)

(2) Scottish Government Polypharmacy Model of Care Group (2018). Polypharmacy Guidance, Realistic Prescribing. 3rd Edition.