Clinical Features, Treatment, and Outcome of Severe HIV-Associated Immune Thrombocytopenic Purpura In the HAART Era
Bibliographic record
Abstract
Abstract Abstract 2522 Background: The association between HIV and immune thrombocytopenic purpura (ITP) is well documented. Although HIV-associated ITP responds both to highly active anti-retroviral therapy (HAART) and treatments used in classic ITP, the clinical features of HIV-associated ITP were documented prior to the widespread use of HAART, and there are currently no widely accepted guidelines for the management of HIV-associated ITP. Here we describe the clinical features, treatment, and outcomes of patients diagnosed with severe HIV-associated ITP in the HAART era. Methods: We searched the BC Centre for Excellence in HIV/AIDS (CFE) database to identify patients with ≥ 1 platelet count <20 × 109/L since January 1996, the year HAART was widely adopted in British Columbia. The cutoff value of <20 × 109/L was chosen as a clinically relevant platelet count since these patients generally require treatment. Patient charts were reviewed, clinical data extracted, and only patients with a diagnosis of ITP made by a hematologist were included in the analysis. Descriptive statistics were used to summarize the data. Results: Of 8922 patients in the CFE database since 1996, 31 (0.3%) with a diagnosis of ITP and a platelet count <20 × 109/L were identified. The median age at ITP diagnosis was 37 (range 27–66) years and 25 (81%) were male. The median platelet count was 6 (2-19) × 109/L and median hemoglobin 129 (34-165) g/L. Eighteen patients (51%) presented with clinical bleeding and 4 (13%) required packed red blood cell transfusion. Sixteen (62%) of 26 patients with a documented HIV risk factor had a history of injection drug use (IDU). Four patients (13%) were coinfected with the hepatitis B virus and 12 (39%) with hepatitis C. At ITP diagnosis, 8 of 29 patients (28%) had a CD4 count <200 cells/mL and the median CD4 was 290 (20-600) cells/mL; 5 had a prior AIDS-defining opportunistic infection or neoplasm. Although 29 patients received antiretrovirals at some point, only 10 (32%) were receiving HAART at ITP diagnosis. A bone marrow aspirate and biopsy was performed in 6 patients (19%) and was consistent with ITP in all. Initial ITP treatment included: IVIG, n=12; steroids, n=10; anti-RhD, n=8; HAART, n=3. The median number of treatments received was 1 (0-3) and median time to a platelet count >20 × 109/L was 13.5 (1-1379) days. Median platelet response within 30 days was 58 (5-322) × 109/L (n=26) but only 3 patients (10%) achieved a platelet count in the normal range. At a median follow-up of 48 (0.2-138) months, 27 patients (87%) required secondary ITP treatment for a recurrent platelet count <20 × 109/L; median 10 (5-20) × 109/L, including 8 of 13 patients receiving HAART with initial ITP therapy. Secondary ITP treatment included: IVIG, n=9; anti-RhD, n=6; steroids, n=4; splenectomy, n=3; danazol, n=1; and HAART, n=1. Median platelet response to secondary treatment was 42 (21-198) × 109/L. Response to ITP treatment was not significantly associated with treatment received but was lower in the following patients: 4/15 with comorbidities (5 related to the liver) vs 10/16 without; 1/21 IDU vs 4/10 with sexual HIV risk; and 4/13 with hepatitis B or C coinfection vs 13/16 without (p<0.05 for all). Complications of ITP treatment occurred in 2 patients: psychiatric effect of steroids, n=1; and post-splenectomy fever and hematoma, n=1. There were 4 deaths, causes were: GI bleed, n=2; Evan's syndrome and hepatic failure, n=1; advanced HIV, n=1. Of the 4 patients that died, 3 had a history of IDU. Comorbidities in patients who died included: hepatitis C, n=3; hepatic cirrhosis, n=2; portal hypertension, n=1; hepatocellular failure, n=1. One patient who died of GI bleeding had a history of IDU, hepatitis C coinfection, and died of variceal bleeding despite a normal platelet count following splenectomy. Conclusions: Most patients with severe HIV-associated ITP diagnosed in the HAART era achieved a safe platelet count with primary ITP treatment and there were few treatment complications. However, nearly all required retreatment for severe ITP, including 8 of 13 patients receiving HAART with initial ITP therapy. Inferior platelet response was associated with a history of IDU, comorbidities, and hepatitis B or C coinfection, and 3 of 4 deaths occurred in patients with a history of IDU, therefore new approaches to the treatment of severe ITP in this patient population are needed. This is to our knowledge the largest series of HIV-associated ITP reported in the era of HAART. Disclosures: No relevant conflicts of interest to declare.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".