Rate of Inhibitor Development in Hemophilia A Patients Treated with Plasma Derived or Recombinant Factor VIII Concentrates. A Systematic Review of the Literature.
Bibliographic record
Abstract
Abstract Abstract 3154 Poster Board III-91 Background. The development of alloantibodies that inhibit the coagulant activity of factor VIII (FVIII) is currently the most challenging complication of treatment in persons with hemophilia. Among other factors known to influence inhibitor development, several reports in the literature claimed for a different rate of inhibitor development in hemophilia A (HA) patients after plasma derived (pd-) or recombinant (r-) FVIII administration. Aim of this study was to compare the incident rate of inhibitors in HA patients treated with pd- or r-FVIII through systematic appraisal of the literature. Methods Studies reporting data about inhibitor rate in previously untreated patients (PUPs) with severe (< 0.01 UI/mL) or severe-moderate HA were searched in the following electronic databases: Medline, EMBASE, OVID, Web of Science, The Cochrane Library. Details about study and patient characteristics were abstracted. To avoid double counting of patients included in more than one report of the same authors/working groups, patient recruitment periods and catchment areas were evaluated and authors were contacted for clarification if needed. If any of the required data could not be found in the published report, the corresponding author was contacted to provide the missing data of interest. High responder (HR) inhibitors were defined as >=5 BU/mL. Inhibitors were defined as transient when spontaneously disappearing within 6 months without the need to change treatment regimen. Firstly, the incident rate of inhibitor was recalculated for each study as the number of new inhibitor cases during the observation period divided by the number of HA patients initially inhibitor-free. Secondly, the recalculated rates were pooled for pd- and r- treated cohorts with the random effect model of Laird and Mosteller for single-cohort studies. Thirdly, a summary rate ratio (RR) was calculated for the subset of studies reporting parallel cohorts of patients treated with pd- or r-FVIII concentrates using fixed-effects and random-effects models. Sensitivity analysis, meta-regression and multivariate ANOVA were used to investigate the effect of covariates. Heterogeneity across studies and publication bias were evaluated. Results Twenty-four trials were included (19 prospective), 21 of which reporting details on HR inhibitors for a total of 2113 patients (1170 treated exclusively with pd-, 943 with r-FVIII; 1143 were severe), median age at enrolment was 9.6 months. The total number of inhibitors was 389 of which 135 in patients treated with pd- and 254 in patients treated with r-FVIII. HR inhibitors were 256 (103 for pd- and 153 for r-FVIII). Non-transient inhibitors were 162 (59 for pd- and 103 for r-FVIII). Inhibitor testing was from every 5 exposure days to every 2 year. Pooled incident rate (95% CI) was in all trials 14.7 (10.7 to 19.9) for pd- and 26.6 (22.6 to 31.0) for r-; for prospective trials 9.5 (5.7 to 15.3) for pd- and 22.4 (17.1 to 28.3) for r-; for HR inhibitors 8.5 (4.8 to 14.6) for pd- and 15.4 (12.2 to 19.3) for r-; for non-transient inhibitors 12.7 (7.3 to 21.1) for pd- and 18.9 (14.3 to 24.6) for r-. Six non concurrent cohort studies including 1259 HA patients met the inclusion criteria for RR calculation. Compared to pd-FVIII a statistically significant association with inhibitor development was demonstrated for r-FVIII, with summary RR ranging (95% CI) for HR inhibitors of 1.7 (C.I. 1.3 to 2.7), p< 0.001, I2 = 0%, Harbord-Egger bias indicator p=0.07, fixed effect model; for all inhibitor patients of 2.0 (1.5 to 2.6), p< 0.001, I2 = 41.6%, Harbord-Egger bias indicator p=0.06, random effect model. In the complete study set, testing frequency and study period correlated with rate of inhibitors development at meta-regression. At multivariate ANOVA testing frequency and study period were the strongest determinants of inhibitor development, and type of concentrate lost its statistical significance in the complete model. Conclusions This systematic review suggests that a lower inhibitor rate is found in patients with severe HA with the use of pd-FVIII, but also underscores the critical role of study related characteristics in the evaluation of the true effect of source of factor VIII. Future randomized and prospective follow-up studies are warranted. Disclosures No relevant conflicts of interest to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.016 | 0.015 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".