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Record W4396992414 · doi:10.1681/asn.20213210s1787c

Use of Alkaline Phosphatase as a Bone Marker in Patients on Hemodialysis

2021· article· en· W4396992414 on OpenAlexaff
Jessica Kachmar, Caroline Albert, Marie-Ève Dupuis, Michel Vallée

Bibliographic record

VenueJournal of the American Society of Nephrology · 2021
Typearticle
Languageen
FieldMedicine
TopicAlkaline Phosphatase Research Studies
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsHemodialysisAlkaline phosphataseMedicineInternal medicineUrologyChemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Background: Some patients on hemodialysis may suffer from high turnover bone disease despite having levels of parathormone (PTH) within the targets set by KDIGO. Recent international guidelines suggest the use of other bone markers, such as serum total and bone-specific alkaline phosphatase (TALP and BALP respectively). The caveat of using TALP to assess bone turnover status is that other conditions, such as hepatic cholestasis, also cause increases in TALP. We can, however, use it as an alternative to BALP as long as gamma-glutamyl-transferase (GGT) is normal. Though it would generally be expected that PTH and TALP move in the same direction with changes in bone turnover, these two markers can sometimes evolve in opposite directions. Our study aimed to evaluate the correlation between PTH, TALP and BALP. Methods: Cross sectional study including all patients on hemodialysis at the Hôpital Maisonneuve-Rosemont from May 9, 2019 to June 7, 2019 (N=264 patients). We measured PTH, TALP and BALP in these patients and correlation coefficients were calculated. Regression analyses were performed for multiple potential confounding factors. Results: The correlation between PTH and TALP was found to be positive and moderate (Rho 0.36; p-value < 0.0001). It was not statistically significant in patients having high GGT levels (above 60 IU/L) and was stronger in patients with normal GGT (Rho 0.40; p-value < 0.0001). The correlation between PTH and BALP was also positive and moderate, but stronger than with TALP (Rho 0.43; p-value <0.0001) and statistically significant even in patients having high GGT levels. The correlation between TALP and BALP was positive, strong and statistically significant (Rho 0.86 ; p-value <0.0001) ; it was stronger when GGT levels were normal compared to patients with high GGT levels (Rho 0.94 and Rho 0.71 respectively). Conclusions: There is a positive correlation between PTH and TALP but it is only moderate. It is thus important to take into consideration TALP in patients with normal GGT levels when evaluating the bone status of patients on hemodialysis.Correlation coefficients for all patients and stratified by GGT level

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.026
GPT teacher head0.312
Teacher spread0.286 · 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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Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Society of NephrologySame topicAlkaline Phosphatase Research StudiesFrench-language works237,207