Trends in the Prevalence of Hepatitis B Virus, Hepatitis C Virus, and HIV Infections in Iranian Patients with Hereditary Bleeding Disorders
Bibliographic record
Abstract
BACKGROUND: Patients with hereditary bleeding disorders (HBDs) have always been vulnerable to transfusion-transmitted infections (TTIs) such as hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus (HIV) infections due to being regular recipients of blood and blood products. This study aimed to detect the trends in the prevalence of HBV, HCV, and HIV infections by birthyear in Iranian patients with HBDs to show the efficacy of national interventions implemented to administrate control and to prevent these infections, i.e., blood safety, newborn HBV vaccination, and safe replacement treatments. METHODS: In this retrospective study, the trends in the prevalence of hepatitis B core antibody (HBcAb), HCV antibody (HCV-Ab), and HIV antibody (HIV-Ab) in Iranian patients with HBDs born before 2012 were assessed using patients' clinical archives. The determinants of HBV, HCV, and HIV infections were investigated in bivariable and multivariable logistic regression analyses. RESULTS: Out of 1475 patients with HBDs, most were male (87.7%) and diagnosed with hemophilia A (52.1%) and severe bleeding disorder (63.7%). The prevalence of HBcAb, HCV-Ab, and confirmed HIV-Ab was 22.9%, 59.8%, and 1.2%, respectively. The trends in HBcAb, HCV-Ab, and HIV-Ab were all decreasing by birthyear and reached a stable level of 0% for patients with birthyears in 1999, 2000, and 1984, respectively. In multivariable analysis, birthyear was significantly associated with HBcAb prevalence. In the multivariable analysis, type of HBD; birthyear; bleeding severity; histories of receiving packed cells, fresh frozen plasma, and cryoprecipitate before 1996; and history of receiving factor concentrate before 1997 were highly associated with the prevalence of HCV-Ab. Moreover, in the bivariable analysis, birthyear and type of HBD were associated with HIV-Ab prevalence. CONCLUSION: This study demonstrated the decreasing trends in HBV, HCV, and HIV seroprevalence in Iranian patients with HBDs following preventive interventions such as HBV vaccination, blood safety measures, and the provision of safe replacement treatments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".