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Record W3094984391 · doi:10.1182/blood-2020-136767

Risk Factors for Thrombotic Events in Patients with PNH: A Nested Case-Control Study in the International PNH Registry

2020· article· en· W3094984391 on OpenAlexaff
Britta Hoechsmann, Régis Peffault de Latour, Anita Hill, Alexander Röth, Timothy Devos, Christopher J. Patriquin, Wen‐Chien Chou, Deepak Jain, Ke Zu, Jong Wook Lee

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineNested case-control studyInternal medicineOdds ratioConfidence intervalUnivariate analysisParoxysmal nocturnal hemoglobinuriaCohortMultivariate analysis

Abstract

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INTRODUCTION Although thrombotic events (TEs) are the leading cause of paroxysmal nocturnal hemoglobinuria (PNH)-related mortality, the risk factors predictive of TEs are not well established. Several small or previous studies reported that the proportion of PNH cells, elevated lactate dehydrogenase (LDH), age, thrombosis at diagnosis, and treatment may impact TE risk.1-5 The International PNH Registry (NCT01374360) is an observational cohort study containing the largest database of safety, quality-of-life, and outcome data from patients with PNH. Here, we analyzed patient data from the Registry to identify risk factors for TEs. METHODS Data from Registry patients who were untreated at enrollment, had an incident TE after enrollment, non-zero follow-up time, and with documented birthdate, sex, enrollment date, treatment status, and country, were included in this analysis. The first TEs experienced by eligible patients after enrollment were identified as TE cases; the date of the index TE event was defined as the Index Date. Up to five controls were selected from the risk set for each TE case matched on age (±5 years at Index Date), gender, country, and history of bone marrow disease (BMD). Cases that could not be matched with at least one control were excluded from the study. For covariates included in the analysis, conflicting or absent values were marked as "missing." Univariate conditional logistic regression was used to estimate odds ratios (ORs) with 95% Wald confidence intervals (CIs) of TE associated with candidate risk factors: glycophosphatidylinositol (GPI)-deficient granulocytes, GPI-deficient erythrocytes, LDH ratio, recent high-disease activity (HDA; defined as within six months prior to the Index Date, LDH ratio ≥1.5xULN, and hemoglobin <10 g/dL or at least one of the following symptoms: abdominal pain, dyspnea, dysphagia, fatigue, hemoglobinuria, and/or male erectile dysfunction), LDH ratio and number of HDA symptoms, history of TE, history of major adverse vascular event (MAVE), and recent prophylactic anticoagulant (PA) use. RESULTS Due to the strict eligibility criteria, 57 TE cases and 189 non-TE controls met the conditions and were matched for the case-control study. The mean age at Index Date was 46.8 years for TE cases and 47.1 years for non-TE control (Table A). Cases were more likely to have a clone size of ≥ 50% GPI-deficient granulocytes, an LDH ratio ≥ 1.5xULN, recent HDA, and a history of TE or MAVE, compared with controls. From univariate analyses, the following factors were found to be associated with statistically significantly increased risk of TE: recent HDA (OR, 2.65; 95% CI, 1.10-6.61), LDH ≥1.5xULN and 2-3 HDA symptoms (OR, 8.61; 95% CI, 1.46-96.96), LDH ≥1.5xULN and ≥4 HDA symptoms (OR, 14.50; 95% CI, 1.70-209.25), and a history of TE (OR, 3.60; 95% CI, 1.41-9.24) or MAVE (OR, 2.17; 95% CI, 0.96-4.80), and recent PA use (OR, 4.35; 95% CI, 1.57-13.13) (Figure A). The strengths of this analysis include a robust study design for evaluation of a rare outcome and multiple risk factors, increased generalizability with an international patient population, and the ability to evaluate both medical history and recent clinical characteristics relevant to PNH and TE; however, not all patients had available data for each parameter assessed and the number of TE cases identified were relatively small. Despite these limitations, factors that were statistically significantly associated with increased TE risk were identified from the analysis. CONCLUSIONS Based on this observational PNH Registry analysis, we identified several clinical features of PNH that were associated with an elevated risk of TE, including ≥50% GPI-deficient granulocyte clone size, LDH ratios ≥1.5xULN, recent HDA, LDH ≥1.5xULN plus HDA symptoms, a history of TE or MAVE, and recent PA use compared with non-TE controls; for recent PA use, these patients were most likely at increased risk of TE, which may explain why they received treatment. Our data add to the findings of previously published studies1,4 by expanding the results to a broader patient population. These results highlight the importance and urgency of identifying and monitoring risk factors for TE in patients with PNH to inform treatment decisions. Disclosures Hoechsmann: Roche: Consultancy, Honoraria; Apellis: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Alexion: Consultancy, Honoraria, Research Funding. Peffault De Latour:Apellis: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Alexion Pharmaceuticals Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Hill:Alexion Pharmaceuticals, Inc.: Current Employment. Röth:Roche: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria; Apellis: Consultancy, Honoraria; Alexion Pharmaceuticals Inc.: Consultancy, Honoraria, Research Funding; Biocryst: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Devos:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees. Patriquin:Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Apellis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Alexion Pharmaceuticals, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Jain:Alexion Pharmaceuticals, Inc.: Current Employment, Current equity holder in publicly-traded company. Zu:Alexion Pharmaceuticals, Inc.: Ended employment in the past 24 months; Merck & Co.: Current Employment. Lee:Alexion Pharmaceuticals Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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 score0.017
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.249
Teacher spread0.230 · 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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Citations3
Published2020
Admission routes1
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