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Record W3158760699 · doi:10.1210/jendso/bvab048.417

Lung Transplantation in a Patient With Osteogenesis Imperfecta and Osteoporosis

2021· article· en· W3158760699 on OpenAlexaff
Lena Fan, Luke Benvenuto, Margaret Nolan, Angela DiMango, Elizabeth Shane, Francis H. Glorieux, Mishaela R. Rubin

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsShriners Hospitals for Children - Canada
Fundersnot available
KeywordsMedicineOsteoporosisTransplantationSurgeryFemoral neckOsteogenesis imperfectaInternal medicineUrologyGastroenterology

Abstract

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Abstract Background: Osteogenesis imperfecta (OI) and transplantation (TP) are independently associated with fractures. Yet reports regarding the skeletal effects of organ TP in OI are limited. We report the early skeletal outcomes in an OI patient with osteoporosis who underwent lung TP. Clinical Case: A 35-year-old man with moderate/severe OI and severe bronchiectasis was admitted for progressive respiratory failure and expedited lung TP evaluation. OI was diagnosed at age 10 after sustaining a hairline coccyx fracture when falling off a stool; scoliosis was diagnosed at age 14; additional fractures included ankle (18 y), toes (28 y) and rib (34 y). He had dentogenesis imperfecta, but no hearing loss, easy bruising or OI family history. Bronchiectasis also began at age 10 and progressed, with multiple drug resistant infections and glucocorticoid (GC) treatments. At admission, he was on 6L oxygen and bed-bound from dyspnea. Notably, he had been rejected twice for TP because of his bone disease. Admission medications included calcium, D3, famotidine, inhaled fluticasone, tobramycin, and tiotropium bromide. His exam was notable for height 5’5”, BMI 16.5 kg/m2, kyphoscoliosis, blue sclera and joint laxity. Labs were notable for (mg/dl): serum calcium 9.4, magnesium 2.4, phosphate 4.4; albumin 4.2 g/dl, alkaline phosphatase 75 U/L, 25(OH)D 34 ng/ml, sCTX 535 pg/ml, urinary calcium 370 mg/24 hr. DXA showed T-scores of -4.7 (lumbar spine), -3.3 (femoral neck), -3.2 (total hip), -2.6 (1/3 radius). Endocrinology was consulted about the skeletal risk of lung transplantation. Discussion and Follow-up:The patient’s manifestations of OI increased the risk of adverse skeletal outcomes. His high CTX suggested increased bone resorption, often seen with OI; bone formation was not directly measured but in OI is frequently reduced. Notably, his bronchiectasis was likely related to the OI: in addition to restrictive lung disease in OI, the abnormal type 1 collagen likely alters alveolar structure and elasticity. His risk for post-TP fractures was high given that the expected post-TP bone loss would likely be exacerbated by high dose GCs further increasing bone resorption and reducing presumed low bone formation. Nevertheless, because he had never sustained a major fracture even without OI treatment, the decision was made to proceed. He received zoledronate (ZOL) 5 mg IV and underwent an uncomplicated double lung transplant; initial high dose GCs were tapered to prednisone 10 mg/d. Three months later, he has steadily rising lung function, excellent functional status, and is working full time. A current sCTX of 73 pg/ml suggests that bone loss is not increased. Admittedly, the patient remains within the early high-risk fracture window. Yet this case is the first report to our knowledge which suggests that lung TP in an OI patient treated with ZOL did not lead to fracture in the early post-TP period.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.243
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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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Citations0
Published2021
Admission routes1
Has abstractyes

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