Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models
Abstract Objective CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-03-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-021-05523-w |
| _version_ | 1818738600365260800 |
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| author | Maryam Farhadian Younes Mohammadi Mohammad Mirzaei Nasrin Shirmohammadi-Khorram |
| author_facet | Maryam Farhadian Younes Mohammadi Mohammad Mirzaei Nasrin Shirmohammadi-Khorram |
| author_sort | Maryam Farhadian |
| collection | DOAJ |
| description | Abstract Objective CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD4 cell counts at the time of diagnosis in HIV patients using Poisson, Generalized Poisson, and Negative Binomial regression models. Results Out of 4402 HIV patients diagnosis in Iran from 1987 to 2016, 3030 (68.8%) were males, and the mean age was 34.8 ± 10.4 years. The results indicate that the Negative Binomial model outperformed the other models in terms of AIC, log-likelihood and RMSE criteria. In this model, factors include sex, age, clinical stage and Tuberculosis (TB) co-infection were significantly associated with CD4 count (P < 0.05). Conclusion Given the effect of age, sex, clinical stage and stage of HIV on CD4 count of the patients, adopting policies and strategies to increase awareness and encourage people to seek early HIV testing and care is advantageous. |
| first_indexed | 2024-12-18T01:11:31Z |
| format | Article |
| id | doaj.art-8a4075125e7d459ea3c2d6549dc10267 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-18T01:11:31Z |
| publishDate | 2021-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-8a4075125e7d459ea3c2d6549dc102672022-12-21T21:26:04ZengBMCBMC Research Notes1756-05002021-03-011411710.1186/s13104-021-05523-wFactors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression modelsMaryam Farhadian0Younes Mohammadi1Mohammad Mirzaei2Nasrin Shirmohammadi-Khorram3Department of Biostatistics, School of Public Health, Hamadan University of Medical SciencesDepartment of Epidemiology, School of Public Health, Hamadan University of Medical SciencesHamadan Health Center, Hamadan University of Medical SciencesDepartment of Biostatistics, School of Public Health, Hamadan University of Medical SciencesAbstract Objective CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD4 cell counts at the time of diagnosis in HIV patients using Poisson, Generalized Poisson, and Negative Binomial regression models. Results Out of 4402 HIV patients diagnosis in Iran from 1987 to 2016, 3030 (68.8%) were males, and the mean age was 34.8 ± 10.4 years. The results indicate that the Negative Binomial model outperformed the other models in terms of AIC, log-likelihood and RMSE criteria. In this model, factors include sex, age, clinical stage and Tuberculosis (TB) co-infection were significantly associated with CD4 count (P < 0.05). Conclusion Given the effect of age, sex, clinical stage and stage of HIV on CD4 count of the patients, adopting policies and strategies to increase awareness and encourage people to seek early HIV testing and care is advantageous.https://doi.org/10.1186/s13104-021-05523-wCD4 Lymphocyte CountHIVAIDSDisease ProgressionStatistical Model |
| spellingShingle | Maryam Farhadian Younes Mohammadi Mohammad Mirzaei Nasrin Shirmohammadi-Khorram Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models BMC Research Notes CD4 Lymphocyte Count HIV AIDS Disease Progression Statistical Model |
| title | Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models |
| title_full | Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models |
| title_fullStr | Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models |
| title_full_unstemmed | Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models |
| title_short | Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models |
| title_sort | factors related to baseline cd4 cell counts in hiv aids patients comparison of poisson generalized poisson and negative binomial regression models |
| topic | CD4 Lymphocyte Count HIV AIDS Disease Progression Statistical Model |
| url | https://doi.org/10.1186/s13104-021-05523-w |
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