| Literature DB >> 23951307 |
Takeshi Nishijima1, Hiroyuki Gatanaga, Hirokazu Komatsu, Misao Takano, Miwa Ogane, Kazuko Ikeda, Shinichi Oka.
Abstract
BACKGROUND: Loss to follow up (LTFU) is an important prognostic factor in patients with HIV-1 infection. The impact of illicit drug use on LTFU of patients with HIV-1 infection is unknown in Japan.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23951307 PMCID: PMC3737188 DOI: 10.1371/journal.pone.0072310
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Patient enrollment process.
Baseline demographics and laboratory data for all study population, those who were lost to follow up and those who continued the visits.
| All (n=1,208) | Lost follow up (n=111) | Others (n=1,097) | P value | |
|---|---|---|---|---|
| Sex (male), n (%) | 1125 (93) | 103 (93) | 1022 (93) | 0.84 |
| Median (IQR) age | 36 (29-43) | 31 (25-39) | 36 (30-43) | <0.01 |
| Illicit drug use, n (%) | 415 (34) | 55 (50) | 360 (33) | <0.01 |
| Injection drug use, n (%) | 53 (4) | 8 (7) | 45 (4) | 0.14 |
| Methamphetamine use, n (%) | 63 (5) | 10 (9) | 53 (5) | 0.07 |
| Arrested due to illicit drug, n (%) | 27 (2) | 5 (5) | 22 (2) | 0.09 |
| Median (IQR) CD4 count (/µl)a | 245 (101-380) | 391 (313-515) | 231 (84-359) | <0.01 |
| Median (IQR) HIV-1 viral load (log10/ml)b | 4.59 (3.89-5.18) | 4.32 (3.80-4.75) | 4.64 (3.91-5.20) | 0.03 |
| AIDS, n (%) | 323 (27) | 10 (9) | 313 (29) | <0.01 |
| On antiretroviral therapy, n (%) | 131 (11) | 5 (5) | 126 (12) | 0.02 |
| Positive HCV antibody, n (%) | 46 (4) | 2 (2) | 44 (4) | 0.43 |
| Men who have sex with men, n (%) | 973 (81%) | 89 (80) | 884 (81) | 0.90 |
| Transmission category, n (%) | 0.51 | |||
| Homosexual contact | 948 (79) | 84 (76) | 864 (79) | |
| Heterosexual contact | 173 (14) | 19 (17) | 154 (14) | |
| Injection drug use | 22 (2) | 4 (4) | 18 (2) | |
| Contaminated blood product | 11 (1) | 0 | 11 (1) | |
| Vertical transmission | 1 (0.1) | 0 | 1 (0.1) | |
| Unknown | 53 (4) | 4 (4) | 49 (5) | |
| Ethnicity, n (%)c | 0.02 | |||
| Japanese | 1070 (89) | 92 (83) | 978 (89) | |
| Asian | 70 (6) | 7 (6) | 63 (6) | |
| White | 27 (2) | 2 (2) | 25 (2) | |
| Black | 26 (2) | 7 (6) | 19 (2) | |
| Latino | 12 (1) | 2 (2) | 10 (0.9) | |
| Health insurance status, n (%) | <0.01 | |||
| Without insurance | 55 (5) | 13 (12) | 42 (4) | |
| With insurance/public assistance | 1153 (95) | 98 (88) | 1055 (96) | |
| Working status, n (%)d | 0.09 | |||
| Unemployed | 230 (19) | 23 (21) | 207 (19) | |
| With any job | 909 (75) | 77 (69) | 832 (76) | |
| Student/housewife | 68 (6) | 11 (10) | 57 (5) | |
| Living alone, n (%)e | 532 (44) | 46 (41) | 486 (44) | 0.62 |
| Median (IQR) follow up days | 1384.5 (732-1991) | 266 (58-800) | 1454 (914-2053) | <0.01 |
Data for a two, b four, c three, d one, and e fifteen cases, respectively, are missing
Figure 2Kaplan-Meier curve showing time to loss to follow up for illicit drug users and non users.
Compared to non drug users, illicit drug users were more likely to discontinue their visits to the hospital (p=0.001, Log-rank test).
Univariate analysis to estimate the risk of various factors for loss to follow up.
| Hazard ratio | 95% CI | P value | |
|---|---|---|---|
| Illicit drug use | 1.860 | 1.282-2.699 | 0.001 |
| Injection drug use | 1.808 | 0.880-3.713 | 0.107 |
| Methamphetamine use | 1.684 | 0.879-3.225 | 0.116 |
| Arrested/detained due to illicit drug | 1.981 | 0.808-4.859 | 0.135 |
| Male gender | 0.961 | 0.468-1.974 | 0.961 |
| Men who have sex with men | 0.926 | 0.581-1.477 | 0.747 |
| Age ≤30 years | Reference | ||
| 30 < Age ≤40 years | 0.455 | 0.299-0.692 | <0.001 |
| Age >40 years | 0.320 | 0.190-0.538 | <0.001 |
| CD4 count ≤200/µl | Reference | ||
| 200 < CD4 count ≤350/µl | 2.536 | 1.318-4.878 | 0.005 |
| CD4 count >350/µl | 7.651 | 4.309-13.59 | <0.001 |
| HIV-1 viral load per log10/ml | 0.846 | 0.730-0.981 | 0.027 |
| History of AIDS | 0.269 | 0.140-0.514 | <0.001 |
| Positive HCV antibody | 0.466 | 0.115-1.888 | 0.285 |
| Japanese | 0.559 | 0.337-0.926 | 0.024 |
| On antiretroviral therapy | 0.402 | 0.164-0.986 | 0.046 |
| With any job | 0.870 | 0.549-1.376 | 0.551 |
| On health insurance/public assistance | 0.249 | 0.139-0.444 | <0.001 |
| Living alone | 0.949 | 0.649-1.388 | 0.788 |
Multivariate analysis to estimate the risk of illicit drug use for loss to follow up.
| Model 1 Crude (n=1,208) | Model 2 Adjusted (n=1,208) | Model 3 Adjusted (n=1,206) | ||||
|---|---|---|---|---|---|---|
| HR | 95% CI | Adjusted HR | 95% CI | Adjusted HR | 95% CI | |
| Illicit drug use† | 1.860 | 1.282-2.699 | 1.770 | 1.208-2.592 | 1.513 | 1.018-2.248 |
| Age ≤30 years† | Reference | Reference | ||||
| 30< Age ≤40 years† | 0.462 | 0.304-0.703 | 0.467 | 0.303-0.720 | ||
| Age >40 years† | 0.360 | 0.212-0.609 | 0.442 | 0.259-0.752 | ||
| Japanese | 0.472 | 0.286-0.779 | 0.798 | 0.443-1.436 | ||
| CD4 count ≤200/µl† | Reference | |||||
| 200< CD4 count ≤350 /µl† | 2.221 | 1.148-4.297 | ||||
| CD4 count >350/µl† | 7.087 | 3.951-12.71 | ||||
| On antiretroviral therapy† | 0.366 | 0.147-0.912 | ||||
| With health insurance/public assistance† | 0.204 | 0.102-0.409 | ||||
†
p<0.05 in Model 3
Multivariate analysis to estimate the risk of illicit drug use for loss to follow up stratified by sexual behavior.
| Adjusted HR | 95% CI | P value | |
|---|---|---|---|
| MSM (n=973) | 1.641 | 1.061-2.538 | 0.026 |
| Non MSM (n=233) | 1.119 | 0.248-5.053 | 0.883 |
Adjusted by variables in Table 3, Model 3 (age, Japanese, CD4 count, antiretroviral therapy, and health insurance)
MSM: men who have sex with men