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Association of Hospital Resource Utilization With Neurodevelopmental Outcomes in Neonates With Hypoxic-Ischemic Encephalopathy

2023· article· en· W4328048405 on OpenAlexaff
Vilmaris Quiñones Cardona, Rakesh Rao, Isabella Zaniletti, Priscilla Joe, Yvette R. Johnson, Robert DiGeronimo, Shannon E. G. Hamrick, Kyong‐Soon Lee, Ulrike Mietzsch, Girija Natarajan, Eric S. Peeples, Tai-Wei Wu, Tanzeema Hossain, John Flibotte, Amit Chandel, Amy Distler, Jeffrey Shenberger, Onome Oghifobibi, An N. Massaro, Maria L.V. Dizon, Nathalie L. Maitre, Amit Mathur, Eugenia K. Pallotto, Danielle Smith, Mark Speziale, Toby Yanowitz, Beverly Brozanski, Jacquelyn Evans, Theresa R. Grover, Karna Murthy, Michael Padula, Anthony Piazza, Kristina M. Reber, Billie Lou Short, David J. Durand, Francine Dykes, Jeanette Asselin, Kevin M. Sullivan, Victor McKay, Jamie Limjoco, Lori Haack, Narenda Dereddy, R Wadhawan, Gustave Falciglia, Becky Rogers, Anne Hansen, Cherrie D. Welch, Beth Haberman, Gregory Sysyn, Nicole Birge, Michel Mikhael, Irfan Ahmad, David Munson, Michael R. Uhing, Ankur Datta, Rashmin C. Savani, Luc P. Brion, Julie Weiner, Lamia Soghier, Carl Coghill, Allison Black, Steven Chin, Rachel Chapman, AnneMarie Golioto, Jonathan Nedrelow, Annie Chi, Yvette Johnson, Mark Weems, Aaron R. Weiss, Trent Tripple, Con Yee Ling, Shrena Patel, Brian R. Lane, Laurel Moyer, William A. Engle, Lora Simpson, Gregory Sokol, Elizabeth Jacobsen-Misbe, Julie B. Lindower, Gautham Suresh, Lakshmi Khatakam, Art D’Harlingue

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineHypoxic Ischemic EncephalopathyGestational agePediatricsEncephalopathyRetrospective cohort studyApgar scoreEmergency medicinePregnancyInternal medicine

Abstract

fetched live from OpenAlex

Importance: Intercenter variation exists in the management of hypoxic-ischemic encephalopathy (HIE). It is unclear whether increased resource utilization translates into improved neurodevelopmental outcomes. Objective: To determine if higher resource utilization during the first 4 days of age, quantified by hospital costs, is associated with survival without neurodevelopmental impairment (NDI) among infants with HIE. Design, Setting, and Participants: Retrospective cohort analysis of neonates with HIE who underwent therapeutic hypothermia (TH) at US children's hospitals participating in the Children's Hospitals Neonatal Database between 2010 and 2016. Data were analyzed from December 2021 to December 2022. Exposures: Infants who survived to 4 days of age and had neurodevelopmental outcomes assessed at greater than 11 months of age were divided into 2 groups: (1) death or NDI and (2) survived without NDI. Resource utilization was defined as costs of hospitalization including neonatal neurocritical care (NNCC). Data were linked with Pediatric Health Information Systems to quantify standardized costs by terciles. Main Outcomes and Measures: The main outcome was death or NDI. Characteristics, outcomes, hospitalization, and NNCC costs were compared. Results: Among the 381 patients who were included, median (IQR) gestational age was 39 (38-40) weeks; maternal race included 79 (20.7%) Black mothers, 237 (62.2%) White mothers, and 58 (15.2%) mothers with other race; 80 (21%) died, 64 (17%) survived with NDI (combined death or NDI group: 144 patients [38%]), and 237 (62%) survived without NDI. The combined death or NDI group had a higher rate of infants with Apgar score at 10 minutes less than or equal to 5 (65.3% [94 of 144] vs 39.7% [94 of 237]; P < .001) and a lower rate of infants with mild or moderate HIE (36.1% [52 of 144] vs 82.3% [195 of 237]; P < .001) compared with the survived without NDI group. Compared with low-cost centers, there was no association between high- or medium-hospitalization cost centers and death or NDI. High- and medium-EEG cost centers had lower odds of death or NDI compared with low-cost centers (high vs low: OR, 0.30 [95% CI, 0.16-0.57]; medium vs low: OR, 0.29 [95% CI, 0.13-0.62]). High- and medium-laboratory cost centers had higher odds of death or NDI compared with low-cost centers (high vs low: OR, 2.35 [95% CI, 1.19-4.66]; medium vs low: OR, 1.93 [95% CI, 1.07-3.47]). High-antiseizure medication cost centers had higher odds of death or NDI compared with low-cost centers (high vs. low: OR, 3.72 [95% CI, 1.51-9.18]; medium vs low: OR, 1.56 [95% CI, 0.71-3.42]). Conclusions and Relevance: Hospitalization costs during the first 4 days of age in neonates with HIE treated with TH were not associated with neurodevelopmental outcomes. Higher EEG costs were associated with lower odds of death or NDI yet higher laboratory and antiseizure medication costs were not. These findings serve as first steps toward identifying aspects of NNCC that are associated with outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.255
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2023
Admission routes1
Has abstractyes

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