Multiple imputation method for estimating incidence of HIV infection

G. Brancato, P. Pezzotti, Elisabetta Rapiti, C. A. Perucci, D. Abeni, A. Babbalacchio, G. Rezza

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Background. CD4+ T-lymphocyte (CD4) and platelet counts are good predictors of the 'maturity' of HIV infection and can be used to impute the date of infection/seroconversion in individuals for whom this date is unknown. Methods. Data from the Italian Seroconversion Study were used to develop a Weibull regression model for time since seroconversion as a function of the haematologic markers. The model was used to impute time since HIV infection/seroconversion in individuals from a prevalent cohort, recruited through the Lazio regional HIV surveillance system. Results. The range of the imputed calendar times of infection/seroconversion in 2599 HIV prevalent individuals was 1972-1992; the earliest seroconversions occurred among injecting drug users (IDU). The peak of incidence was reached in 1986 with 340 seroconversions. Among males, the estimated median time from seroconversion to HIV diagnosis was shorter in IDU (30 months) as compared to non-IDU (36 months). This difference was smaller for females (26.6 versus 28.4 in IDU and non-IDU, respectively). Conclusions. This method permits the estimation of population-based curves of HIV incidence, using data from surveillance. The results support the hypotheses of an early spread of the epidemic among IDU in the Lazio region, and of shorter lead times in this population.

Original languageEnglish
Pages (from-to)1107-1114
Number of pages8
JournalInternational Journal of Epidemiology
Volume26
Issue number5
DOIs
Publication statusPublished - 1997

Fingerprint

Drug Users
HIV Infections
Incidence
HIV Seropositivity
HIV
Lymphocyte Count
CD4 Lymphocyte Count
Infection
Platelet Count
Population
Seroconversion
T-Lymphocytes

Keywords

  • CD4 count
  • HIV infection
  • Incident cohort
  • Multiple imputation
  • Prevalent cohort

ASJC Scopus subject areas

  • Epidemiology

Cite this

Brancato, G., Pezzotti, P., Rapiti, E., Perucci, C. A., Abeni, D., Babbalacchio, A., & Rezza, G. (1997). Multiple imputation method for estimating incidence of HIV infection. International Journal of Epidemiology, 26(5), 1107-1114. https://doi.org/10.1093/ije/26.5.1107

Multiple imputation method for estimating incidence of HIV infection. / Brancato, G.; Pezzotti, P.; Rapiti, Elisabetta; Perucci, C. A.; Abeni, D.; Babbalacchio, A.; Rezza, G.

In: International Journal of Epidemiology, Vol. 26, No. 5, 1997, p. 1107-1114.

Research output: Contribution to journalArticle

Brancato, G, Pezzotti, P, Rapiti, E, Perucci, CA, Abeni, D, Babbalacchio, A & Rezza, G 1997, 'Multiple imputation method for estimating incidence of HIV infection', International Journal of Epidemiology, vol. 26, no. 5, pp. 1107-1114. https://doi.org/10.1093/ije/26.5.1107
Brancato, G. ; Pezzotti, P. ; Rapiti, Elisabetta ; Perucci, C. A. ; Abeni, D. ; Babbalacchio, A. ; Rezza, G. / Multiple imputation method for estimating incidence of HIV infection. In: International Journal of Epidemiology. 1997 ; Vol. 26, No. 5. pp. 1107-1114.
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