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CompletedNCT06669221Updated Nov 1, 2024

Effectiveness of Early Intervention in Transfusion Independent Aplastic Anemia: a Retrospective Medical Claims Database Study

An observational study in Aplastic Anemia (AA), sponsored by Novartis Pharmaceuticals. Completed at 1 site in Japan. Open to participants aged 15 Years to 90 Years. Per ClinicalTrials.gov, last updated 2024-11-01.

Sponsored by Novartis Pharmaceuticals (part of Novartis) · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
1,603
Ages
15 Years to 90 Years
Sex
All
01

Study summary

This was a retrospective non-interventional cohort study with secondary use of data from the Medical Data Vision (MDV) hospital-based database to evaluate the effectiveness of early drug intervention in preventing transfusion compared to watchful observation among adult transfusion-independent aplastic anemia (AA) patients in Japan.

02

Conditions studied

  • Aplastic Anemia (AA)
03

In context

Anemia

1,733 studies on the registry are indexed under Anemia; 246 are open to participants now.

This study's enrollment of 1,603 is above the median of 200 across 326 observational studies indexed under Anemia.

Browse Anemia studies →

Lead sponsor

Novartis Pharmaceuticals is the lead sponsor of 2,673 studies on the registry; 228 are open to participants now.

Of its 576 completed or terminated interventional studies of FDA-regulated products, 431 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
15 Years to 90 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

This was a retrospective, noninterventional cohort study.

Inclusion criteria

  • Having at least one confirmed diagnosis of AA within the selection period (1 inpatient or 2 outpatient claims per the International Statistical Classification of Diseases, 10th Revision [ICD-10] code, without any suspicion flag).
  • Being aged 15 to 90 years at the index date.
  • Having at least 3 months of continuous enrolment prior to the index date.

Exclusion criteria

Exclusion Criteria:

  • Having a blood transfusion recorded any time before the index date.
  • Having anti-thymocyte globulin (ATG) treatment recorded within 3 months after the index date.
  • Having at least one prescription record for any of the drug treatments of interest any time before the index date.
  • Having a diagnosis of acute myeloid leukemia (AML), chronic myelomonocytic leukemia (CMML) or other leukemia any time before the index date.
  • Having an AA diagnosis (without suspicious flag) date earlier than the start of patient's observation in the database.
  • Having less than 6 months of continuous follow-up.

Safety Population - Additional Exclusion Criterion:

  • Having a diagnosis of hepatotoxicity, kidney dysfunction, hypertension, or diabetes mellitus any time before the index date.
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
1,603 participants (actual)
Patient registry
No

Groups and cohorts

  • Early drug intervention group

    Patients who had at least one prescription record associated with any of the drug treatments of interest (cyclosporine A, eltrombopag, romiplostin, danazol, or methenolone) during each period of interest before the first transfusion record during the follow-up period.

  • Watchful observation group

    Patients with no prescription record associated with any of the drug treatments of interest (cyclosporine A, eltrombopag, romiplostin, danazol, or methenolone) during the follow-up period and before the first transfusion record, if any.

06

What researchers measure

Primary outcomes

  1. Probability of Having Blood Transfusion in the Matched Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  2. Crude Hazard Ratios of Having Blood Transfusion After 6 Months of Follow-up in the Matched Effectiveness Population

    Time frame: Baseline, 6 months

  3. Adjusted Hazard Ratios of Having Blood Transfusion After 6 Months of Follow-up in the Matched Effectiveness Population

    Time frame: 6 months

Secondary outcomes

  1. Sex

    Time frame: Baseline

  2. Age

    Time frame: Baseline

  3. Weight

    Time frame: Baseline

  4. Body Mass Index (BMI)

    Time frame: Baseline

  5. Number of Patients With Aplastic Anemia, per Severity Level

    Time frame: Baseline

  6. Number of Patients With Immune Thrombocytopenia (ITP) Diagnosis Before Index Date

    Time frame: Baseline

  7. Number of Patients With Myelodysplastic Syndrome (MDS) Diagnosis Before Index Date

    Time frame: Baseline

  8. Number of Patients With Pre-index Comorbidities

    Time frame: Baseline

  9. Number of Patients With Pre-index Use of Chloramphenicol

    Time frame: Baseline

  10. Platelet Count

    Time frame: Baseline

  11. Neutrophil Count

    Time frame: Baseline

  12. Hemoglobin Level

    Time frame: Baseline

  13. Number of Patients Per Treatment Therapy in the Matched Effectiveness Population

    Time frame: Baseline

  14. Number of Patients With Aplastic Anemia in the Matched Effectiveness Population, per Severity Level

    Time frame: Baseline

  15. Number of Patients in the Matched Effectiveness Population Who Discontinued

    Time frame: Baseline, at 6 and 9 months, and at 1 and 2 years

  16. Probability of Having Blood Transfusion in Early Drug Intervention and Watchful Observation Matched Patients From the Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  17. Probability of Having Stem-Cell Transplantation (SCT) in Early Drug Intervention and Watchful Observation Matched Patients From the Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  18. Probability of Having Anti-Thymocyte Globulin (ATG) in Early Drug Intervention and Watchful Observation Matched Patients From the Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  19. Probability of Having Blood Transfusion at Different Timepoints by Drug Categories in the Matched Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  20. Probability of Having SCT at Different Timepoints by Drug Categories in the Matched Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  21. Probability of Having ATG at Different Timepoints by Drug Categories in the Matched Effectiveness Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  22. Probability of Having a Bleeding Event in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  23. Probability of Having Cataract in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  24. Probability of Having Diabetes in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  25. Probability of Having Hepatotoxicity in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  26. Probability of Having Hypertension in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  27. Probability of Having an Infection in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  28. Probability of Having Kidney Dysfunction in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  29. Probability of Having Acute Myeloid Leukemia (AML), Chronic Myelomonocytic Leukemia (CMML) or Another Leukemia in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  30. Probability of Having MDS in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  31. Probability of Having Paroxysmal Nocturnal Hemoglobinuria (PNH) in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  32. Probability of Having a Thromboembolic Event in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  33. Probability of Having Myelofibrosis in Early Drug Intervention and Watchful Observation Matched Patients From the Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  34. Probability of Having a Bleeding Event by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  35. Probability of Having Cataract by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  36. Probability of Having Diabetes by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  37. Probability of Having Hepatotoxicity by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  38. Probability of Having an Infection by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  39. Probability of Having Kidney Dysfunction by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  40. Probability of Having AML, CMML or Another Leukemia by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  41. Probability of Having MDS by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  42. Probability of Having PNH by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  43. Probability of Having a Thromboembolic Event by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

  44. Probability of Having Myelofibrosis by Drug Categories in the Matched Safety Population

    The Kaplan-Meier survival analysis technique was used to estimate probability.

    Time frame: Baseline, at 6 and 9 months, and at 1, 2, 5, and 10 years

07

Study locations

1 site
  • Novartis
    Tokyo, 105-6333, Japan
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 1, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT06669221
Responsible party
Sponsor
First posted
Nov 1, 2024
Start date
May 5, 2022
Primary completion
Nov 3, 2023
Completion
Nov 3, 2023
Last update
Nov 1, 2024

Study contacts

Novartis Pharmaceuticals
study director · Novartis Pharmaceuticals
View the source record on ClinicalTrials.gov ↗

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