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Pulmonary Hypertension in Thalassemia Assessed by Echocardiography: A Report From Baseline Data of the Thalassemia Clinical Research Network Longitudinal Cohort Study.

2009· article· en· W2567085528 on OpenAlexaffabout
Claudia R. Morris, Hae-Young Kim, Felicia Trachtenberg, Charles T. Quinn, Nancy F. Olivieri, Nancy Sweeters, Patricia J. Giardina, Janet L. Kwiatkowski, Alexis A. Thompson, Jeanne Boudreaux, Ellis J. Neufeld, Elliott Vichinsky

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineThalassemiaInternal medicineCohortUnivariate analysisGastroenterologySurgeryMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Abstract 2016 Poster Board I-1038 BACKGROUND: Pulmonary hypertension (PH) contributes to heart disease, the leading cause of death in thalassemia. PH in thalassemia is multifactorial, including oxidative stress, hemolysis, thrombosis, splenectomy, abnormal arginine-nitric oxide bioavailability, and iron overload. Despite the high mortality rate associated with PH, no intervention studies in thalassemia have been completed. This report summarizes the prevalence of elevated tricuspid regurgitant jet velocity (TRV) as a proxy for PH in patients clinically screened by Doppler echocardiography (echo) in the Thalassemia Clinical Research Network (TCRN). PATIENTS AND METHODS: The TCRN is an NIH-sponsored network of major thalassemia centers in the US, Canada and London, UK. This analysis is part of the Thalassemia Longitudinal Cohort (TLC), which collects longitudinal data from 428 patients at 16 centers. We report results from 303 patients (71%) who were assessed by echo at least once. Predictors considered for analysis were age, gender, splenectomy, hepatitis C, WBC, ferritin, hemoglobin, liver function, creatinine, chronic transfusion status, number of transfusions, chelation status, and hydroxyurea use. Multivariate effects of predictors significant in univariate analysis were modeled using logistic regression for elevated TRV. RESULTS: Measurable TRV jet was detectable in 144/303 (48%) of patients. Average age of the cohort with a detectable TRV was 25.8 years (range 5-56 years); half were female.. 97% of the patients studied were transfusion dependent. Mean TRV was 2.3±0.4 m/s (range 0.2-3.5 m/s). An abnormal TRV ≥ 2.5 m/s was identified in 45/144 (31%) of patients screened, 18% (8/45) of whom had a TRV ≥ 3.0 m/s suggesting significant PH. Older age was strongly associated with PH (r = 0.38, p<0.0001). Mean age was significantly higher in patients with TRV≥3.0 and 2.5-2.9 m/s compared to TRV< 2.5 m/s (34.5±11 vs. 29.8±11 vs. 23.6±12 years, p = 0.003). Nine percent of children < 13 years and 7/45 (16%) of all children < 18 years screened had a TRV≥2.5 m/s. A history of splenectomy (odds ratio: 4.6; [1.8-11.9]), hepatitis C (OR: 2.5; [1.05-6.08] or high WBC (OR: 1.1; [1.02-1.2] was associated with TRV, with a p<0.05 using logistical regression modeling. After adjusting for other variables, age remained independently associated with TRV. Gender, ferritin, hemoglobin, liver function, creatinine, and hydroxyurea use were not significantly associated with TRV. A weak correlation between TRV and number of transfusions in previous 12 months was identified (r=0.17, p=0.05). No patients with an elevated TRV were on therapy for PH CONCLUSIONS: Elevated TRV is noted in at least 1/3 of transfusion-dependent thalassemia patients with measurable TR jets. We observed elevated TRV in both children and adults. Less than half of patients screened by echo had a measurable TRV, suggesting that technical diligence is needed to increase the fraction of echos with a measured TRV to better identify patients at risk of PH. Age, splenectomy and history of hepatitis C are significant univariate risk factors in this population, with age remaining an independent risk factor in multiple regression analysis. Ongoing assessment in the TLC and specific prospective longitudinal studies of PH in thalassemia are needed to understand the natural history and pathophysiology in thalassemia in order to determine optimal therapy. Interventional trials for PH in thalassemia are needed. Disclosures: No relevant conflicts of interest to declare.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.074
GPT teacher head0.373
Teacher spread0.298 · 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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Citations5
Published2009
Admission routes2
Has abstractyes

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