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Record W2944280075 · doi:10.1210/js.2019-mon-534

MON-534 Reduced PTH Levels in Adolescents with Anorexia Nervosa: Implication for Kidney and Bone

2019· article· en· W2944280075 on OpenAlexaff
Nina Lenherr‐Taube, Karin E. Trajcevski, Etienne Sochett, Katzman Debra

Bibliographic record

VenueJournal of the Endocrine Society · 2019
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineHypercalciuriaInternal medicineEndocrinologyUrinary calciumBone remodelingBone mineralCalciumCreatinineAnorexia nervosaVitamin D and neurologyParathyroid hormoneCalcium metabolismHypoparathyroidismUnderweightCohortBody mass indexOsteoporosisEating disordersOverweight

Abstract

fetched live from OpenAlex

Background: Patients with anorexia nervosa (AN) experience bone as well as kidney complications including low bone mineral density (BMD), increased fracture rate, kidney stones, hypercalciuria and chronic renal failure. However, the mechanisms of those complications are not fully understood (1). The aim of this study is to investigate the interrelationship of central measures of calcium vitamin D metabolism and bone and kidney health in adolescents with newly diagnosed AN. Methods: This is a cross-sectional study that included newly diagnosed adolescents with AN referred to the Eating Disorder Program (EDP) at the Hospital for Sick Children over a two-year period. In addition to demographic and auxiological data, information on vitamin D and calcium intake was obtained. BMD and blood and urine samples for central measures of calcium vitamin D metabolism were investigated. In addition to descriptive statistics, multiple linear regression was performed to examine the association between PTH and various predictors. Results: A total of 61 patients (55 female, 6 male, mean age 15.2 ± 1.56 years) were included. Overall levels of serum calcium, phosphate, magnesium and 25-hydroxyvitamin D (25OHD) were normal and urinary calcium to creatinine ratio was increased (0.87 ± 0.47mmol/mmol, normal<0.7). However, a novel observation was made regarding low PTH levels in 35% of this cohort (<22ng/L, normal 22-88ng/l (2)). Low PTH levels did not appear to be a result of partial or complete hypoparathyroidism (normal calcium and phosphate levels), oral calcium intake (no significant correlation, p= 0.59) or magnesium deficiency (normal magnesium levels). As previously described, a significant negative correlation between PTH and 25OHD levels below 100 nmol/L was noted (p=0.007). However, 25OHD levels in the range of 100-200 nmol/L, did not contribute to the lower PTH levels (p= 0.39). Mean lumbar spine (L2-4) BMD Z-score was -0.69 ± 1.14. Conclusion: This study indicates reduced PTH levels in 1/3 of adolescents with AN at presentation to a tertiary care EDP. As in previous studies (1), this data suggests that the reduction in PTH may be due to a subtle increase in ionized serum calcium resulting from reduced bone formation and reduced mineralization with ongoing bone resorption. Reduced PTH levels in these patients may contribute to both the renal and bone complications in AN. References: (1) Abrams SA, Silber TJ, Esteban NV, Vieira NE, Stuff JE, Meyers R, et al. Mineral balance and bone turnover in adolescents with anorexia nervosa. J Pediatr. 1993 Aug;123(2):326-31. (2) Bailey D, Colantonio D, Kyriakopoulou L, Cohen AH, Chan MK, Armbruster D, et al. Marked biological variance in endocrine and biochemical markers in childhood: establishment of pediatric reference intervals using healthy community children from the CALIPER cohort. Clin Chem. 2013 Sep;59(9):1393-405.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.311
Teacher spread0.293 · 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 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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Citations0
Published2019
Admission routes1
Has abstractyes

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