SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL
The clinical picture of patients with sickle cell anemia (SCA) is associated with several complications some of which could be fatal. The objective of this study is to analyze the causes of death and the effect of sex and age on survival of Brazilian patients with SCA. Data of patients with SCA who...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2019-02-01
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| Series: | Mediterranean Journal of Hematology and Infectious Diseases |
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| Online Access: | https://www.mjhid.org/index.php/mjhid/article/view/3812 |
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| author | Samir Ballas Emilia Matos do Nascimento, PhD Clarisse Lopes de Castro Lobo, MD Basilio de Bragança Pereira, PhD |
| author_facet | Samir Ballas Emilia Matos do Nascimento, PhD Clarisse Lopes de Castro Lobo, MD Basilio de Bragança Pereira, PhD |
| author_sort | Samir Ballas |
| collection | DOAJ |
| description | The clinical picture of patients with sickle cell anemia (SCA) is associated with several complications some of which could be fatal. The objective of this study is to analyze the causes of death and the effect of sex and age on survival of Brazilian patients with SCA. Data of patients with SCA who were seen and followed at HEMORIO for 15 years were retrospectively collected and analyzed. Statistical modeling was performed using survival analysis in the presence of competing risks estimating the covariate effects on a sub distribution hazard function. Eight models were implemented, one for each cause of death. The cause‐specific cumulative incidence function was also estimated. Males were most vulnerable for death from chronic organ damage (p = 0.0005) while females were most vulnerable for infection (p=0.03). Age was significantly associated (p ≤ 0.05) with death due to acute chest syndrome (ACS), infection, and death during crisis. The lower survival was related to death from infection, followed by death due to ACS. The independent variables age and sex were significantly associated with ACS, infection, chronic organ damage and death during crisis. These data could help Brazilian authorities strengthen public policies to protect this vulnerable population. |
| format | Article |
| id | doaj-art-17670a5d8adb4c5283f61a1f6a43eebc |
| institution | Kabale University |
| issn | 2035-3006 |
| language | English |
| publishDate | 2019-02-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Mediterranean Journal of Hematology and Infectious Diseases |
| spelling | doaj-art-17670a5d8adb4c5283f61a1f6a43eebc2025-01-02T11:15:18ZengPAGEPress PublicationsMediterranean Journal of Hematology and Infectious Diseases2035-30062019-02-01111e2019022e201902210.4084/mjhid.2019.0223812SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODELSamir Ballas0Emilia Matos do Nascimento, PhDClarisse Lopes de Castro Lobo, MDBasilio de Bragança Pereira, PhDCardeza Foundation for Hematologic Research, Philadelphia.The clinical picture of patients with sickle cell anemia (SCA) is associated with several complications some of which could be fatal. The objective of this study is to analyze the causes of death and the effect of sex and age on survival of Brazilian patients with SCA. Data of patients with SCA who were seen and followed at HEMORIO for 15 years were retrospectively collected and analyzed. Statistical modeling was performed using survival analysis in the presence of competing risks estimating the covariate effects on a sub distribution hazard function. Eight models were implemented, one for each cause of death. The cause‐specific cumulative incidence function was also estimated. Males were most vulnerable for death from chronic organ damage (p = 0.0005) while females were most vulnerable for infection (p=0.03). Age was significantly associated (p ≤ 0.05) with death due to acute chest syndrome (ACS), infection, and death during crisis. The lower survival was related to death from infection, followed by death due to ACS. The independent variables age and sex were significantly associated with ACS, infection, chronic organ damage and death during crisis. These data could help Brazilian authorities strengthen public policies to protect this vulnerable population.https://www.mjhid.org/index.php/mjhid/article/view/3812Sickle cell anemia, survival analysis, competing risks, statistical modeling |
| spellingShingle | Samir Ballas Emilia Matos do Nascimento, PhD Clarisse Lopes de Castro Lobo, MD Basilio de Bragança Pereira, PhD SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL Mediterranean Journal of Hematology and Infectious Diseases Sickle cell anemia, survival analysis, competing risks, statistical modeling |
| title | SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL |
| title_full | SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL |
| title_fullStr | SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL |
| title_full_unstemmed | SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL |
| title_short | SURVIVAL PROBABILITY IN PATIENTS WITH SICKLE CELL ANEMIA USING THE COMPETITIVE RISK STATISTICAL MODEL |
| title_sort | survival probability in patients with sickle cell anemia using the competitive risk statistical model |
| topic | Sickle cell anemia, survival analysis, competing risks, statistical modeling |
| url | https://www.mjhid.org/index.php/mjhid/article/view/3812 |
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