| Literature DB >> 28166729 |
Antonio Di Biagio1, Marta Ameri2, Davide Sirello1, Giovanni Cenderello3, Enrico Di Bella4, Lucia Taramasso1, Barbara Giannini5, Mauro Giacomini5, Claudio Viscoli1, Giovanni Cassola3, Marcello Montefiori4.
Abstract
BACKGROUND: In the last 20 years routine T CD4+ lymphocyte (CD4+) cell count has proved to be a key factor to determine the stage of HIV infection and start or discontinue of prophylaxis for opportunistic infections. However, several studies recently showed that in stable patients on cART a quarterly CD4+ cell count monitoring results in limited (or null) clinical relevance. The research is intended to investigate whether performing quarterly CD4+ cell counts in stable HIV-1 patients is still recommendable and to provide a forecast of the cost saving that could be achieved by reducing CD4+ monitoring in such a category of patients.Entities:
Keywords: Cost; HIV; Lymphocyte T CD4+; Monitoring
Mesh:
Substances:
Year: 2017 PMID: 28166729 PMCID: PMC5294769 DOI: 10.1186/s12879-017-2199-x
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic and clinical characteristics of HIV-infected patients with HIV-RNA <50 copie/mL and CD4 > 500 cell/mm3
| Patients | % | |
|---|---|---|
| Age | ||
| < 45 | 72 | 19% |
| 45–65 | 278 | 74% |
| 65 + | 26 | 7% |
| Gender | ||
| Male | 229 | 61% |
| Female | 147 | 39% |
| Nationality | ||
| Italian | 329 | 88% |
| Other | 47 | 12% |
| HCV co-infection | ||
| Positive | 126 | 34% |
| Negative | 250 | 66% |
| Time since HIV infection (years) | ||
| < 5 | 22 | 6% |
| 5–10 | 79 | 21% |
| > 10 | 275 | 73% |
| Risk Factor | ||
| Heterosexual | 152 | 40% |
| IDU (a) | 121 | 32% |
| MSM (b) | 61 | 16% |
| Other | 42 | 11% |
(a) MSM men who have sex with men; (b) IDU injection drug users
95% Confidence Interval of binomial variable CD4 < 350
| Variable | Obs | Mean | Std. Err. | -- Binomial Exact -- | |
|---|---|---|---|---|---|
| [95% Conf. Interval] | |||||
| CD4 < 350 | 371 | .0188679 | .0070638 | .0076187 | .0384872 |
Fig. 1Kaplan-Meier survival estimates
Cox regression and logit regression
| Variable | Cox regression | Logit regression |
|---|---|---|
| Hazard Ratio | Coefficient | |
| Gender (1 = F) | .1764862 (0.143) | −1.728616 (0.159) |
| Age | .9883046 (0.749) | −.0174055 (0.649) |
| Dummy MSM (a) | .9057002 (0.934) | .0500618 (0.966) |
| Dummy IDU (b) | .035092 (0.005)*** | −3.120108 (0.017)** |
| Dummy HCV co-infection | 15.43625 (0.008)*** | 2.24666 (0.033)** |
| Time since HIV infection (years) | .9997115 (0.194) | −.0003251 (0.141) |
| HIV RNA load > 50 in previous tests | 5.951844 (0.070)* | 2.154811 (0.032)** |
| Constant | – | 8.310305 (0.296) |
| Log likehood = −28.6398 | Log likelihood = −27.0727 | |
| Prob. chi2 = 0.0336 | Prob. chi2 = 0.0323 |
(a) MSM men who have sex with men; (b) IDU injection drug users
* p < 0.1
** p < 0.05
*** p < 0.01
Economic consequences of less frequent CD4 monitoring in Italy
| Column A | Column B | Column C | |
|---|---|---|---|
| Total cost | € 594.428 | € 799.506 | € 891.642 |
| Cost saving (1st scenario) | € 297.214 | € 502.292 | € 594.428 |
| Cost saving (2nd scenario) | € 198.143 | € 403.220 | € 495.357 |