| Literature DB >> 33129258 |
Faiza Yasin1, Christina Rizk2, Bennie Taylor3, Lydia A Barakat4,2.
Abstract
BACKGROUND: Late diagnosis of human immunodeficiency virus (HIV) is associated with increased morbidity and mortality, and represents a serious public health concern.Entities:
Keywords: Aging population; HIV; Older adults; Risk; Stigma; Testing
Year: 2020 PMID: 33129258 PMCID: PMC7603686 DOI: 10.1186/s12877-020-01842-y
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1HIV Status at Presentation and at 12 weeks Follow up by Age Group
Patients' characteristics by age group
| Patients’ Characteristics by Age Group | |||
|---|---|---|---|
| Age < 50 | Age | ||
| Characteristic | 139 (73.9%) | 49 (26.1%) | |
| Sex | |||
| Male | 103 (74.1%) | 38 (77.5%) | 0.63 |
| Female | 36 (25.8%) | 11 (22.4%) | |
| Race | |||
| White | 45 (32.4%) | 26 (53.1%) | |
| Non-White | 94 (67.6%) | 23 (46.9%) | |
| Risk Factor | |||
| Heterosexual | 39 (28.0%) | 16 (32.6%) | 0.16 |
| MSM | 87 (62.5%) | 21 (42.8%) | |
| IVDU | 1 (0.7%) | 4 (8.2%) | |
| IVDU + MSM | 2 (0.7%) | 1 (2.0%) | |
| Unknown | 10 (7.3%) | 7 (14.3%) | |
| Insurance | |||
| Uninsured | 17 (12.2%) | 0 (0%) | |
| Insured | 122 (87.8%) | 49 (100.0%) | |
| | |||
| | |||
| cART class | 127 (91.4%) | 49 (100%) | |
| INSTI | 75 (53.9%) | 28 (57.1%) | 0.29 |
| NNRTI | 43 (30.9%) | 11 (22.4%) | |
| PI | 7 (5.0%) | 7 (14.3%) | |
| None | 12 (8.6%) | 0 (0%) | |
| Other | 2 (1.4%) | 3 (6.1%) | |
| Mean CD4 (cells/ml) | 398.5 | 263.3 | |
| Mean HIV VL (copies/ml) | 427,182.90 | 627,190.00 | 0.97 |
| 43 (30.9%) | 32 (65.3%) | ||
| 96 (69.0%) | 17 (34.7%) | ||
Non-white = African American, Hispanic, Asian, Other
AIDS at diagnosis = CD4 < 200 or CDC AIDS defining illness
MSM Men who have Sex with Men, IVDU Injection Drug Use, cART Combination Antiretroviral Therapy, INSTI Integrase Strand Transfer Inhibitor, NNRTI Non-Nucleoside Reverse Transcriptase Inhibitor, PI Protease Inhibitor
Pearson’s chi-square test was used to analyze the following variables: race, sex. Two tailed t-test was used to analyze the following variables: ARV class, insurance, mean CD4 count, mean HIV viral load, and AIDS at diagnosis