Survival of HIV Infected Individuals with Hemophilia after 20 Years: From the Canadian Hemophilia Registry.
Bibliographic record
Abstract
Abstract Background : Patients with hemophilia A and B have been tracked by the Canadian Hemophilia Registry since 1980. The total number on the Registry is 3307 (A=2721, B=586) of which 662 were/are HIV-positive. New HIV and HCV infections ceased after 1985 and 1988 respectively with the introduction of safer blood products; HIV-infected individuals with hemophilia therefore resemble a cohort with HIV infection that was acquired in a relatively narrow time period about 20 years ago. Current status of HIV-positive patients is Active 250 (37.8%), Deceased 406 (61.3%), Lost to Follow Up 9 (0.9%). Follow up data is available for 3135/3307 (95% of all patients), and for 656/662 (99% of HIV-positive patients). We previously reported (Haemophilia1998;4:714) a peak in the death rate of HIV-positive individuals during the years 1991 to 1993 with a subsequent decline. Objective : To update the rate and causes of death among HIV positive hemophilia patients in Canada with current information. HIV-Related Mortality : The annual number of deaths in the HIV-positive group has been [year-#(deaths per 100 person-years)], 1980-0(0), 81-0(0),82-0(0),83-3(0.45),84-1(0.15),85-2(0.30),86-12(1.8),87-12(1.9),88-21(3.3),89-25(4.1),90-24(4.1),91-45(8.0),92-38(7.4),93-Currently, 256/662 (38.7%) are alive. Causes of Death (HIV+) : The commonest primary causes of death in HIV-positive individuals have been: [cause #(%)] AIDS 284(70), liver failure 45(11), bleeding 18(4.4) and infections 15(3.7). Twenty-eight patients had liver disease listed as a secondary or contributing cause of death; thus liver disease was the primary or contributory cause of death in 45+28=73 individuals (18% of HIV-positive deaths). HCV-Related Deaths : HCV status is positive in 1151 of the total population of 3307 (35%) individuals in the registry, negative in 1260 (38%) and unknown in 896 (27%). Of HIV-positive individuals, 448 (68%) are co-infected with HCV, 53 of whom have died with liver failure (12% overall, 18% of deaths). HIV/HCV co-infected individuals have higher overall mortality than those not co-infected (46% vs. 12%, p<0.0001). In addition, HCV singly-infected individuals have lower overall mortality (7%). 703 HIV-negative individuals are infected with HCV, of whom 7 have died with liver failure (1% overall, 13% of deaths). Conclusions : The death rate of HIV-positive individuals peaked in the years 1991-3 and decreased thereafter with 38% of individuals still living at 20 years follow up. However deaths still occur at an annual rate of 3–5%. HIV/HCV co-infected individuals have the highest mortality and HCV single-infected individuals have the lowest mortality of those with transfusion-transmitted infection. Liver failure is a common mode of death in both HIV- and HCV-infected individuals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".