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6ER-008 Correlates of one-year mortality among patients living with HIV according to the stratification level of the pharmaceutical care model
  1. E Contreras Macías1,
  2. FA Lao Domínguez2,
  3. P García Lloret2,
  4. R Morillo Verdugo2
  1. 1Hospital Infanta Elena, Hospital Pharmacy, Huelva, Spain
  2. 2Hospital Universitario Virgen de Valme, Hospital Pharmacy, Sevilla, Spain


Background and Importance The success of highly active antiretroviral (ARV) therapy has allowed people living with HIV (PLWH) to have a near-normal life expectancy. However, the increase in life expectancy has generated a new set of challenges in these patients, who often experience age-related comorbidities and, with it, polypharmacy with the negative consequences that this entails.

Aim and Objectives To analyse the effect that the level of stratification has on mortality results at one year and develop a predictive model in PLWH on active ARV

Material and Methods A single-centre, cross-sectional study that included PLWH on active ARV who attended Pharmaceutical Care outpatient between 1 January and 15 March 2021 and were followed up for a period of 1 year. Demographic, clinical, pharmacotherapeutic variables were collected and pharmaceutical care, level of stratification (according to HIV patient model published by SEFH). A survival analysis was performed to assess how the level of stratification predicted mortality at one year. The survival rate was estimated using Kaplan-Meier and differences between levels were evaluated using a log-rank test. After verifying the proportional hazard assumption, a Cox regression was run to estimate hazard ratios (HR). To evaluate the discriminatory power of the model, the calculation of the area under the ROC curve (AUC-ROC) was carried out. The analysis was carried out using the SPSS v.28.0 software.

Results A total of 428 PLWH were included. More than 90% of the patients had adequate immunovirological control. The distribution of patients according stratification model was: level 3 (83%), followed by 12% and 5% for level 2 and 1, respectively. At the end of follow-up, 5 patients died. The results of log-rank analysis showed significant differences regarding level of stratification for mortality at one year (p=0.02). Cox regression identified level of stratification as a risk factor for mortality, where patients stratified as level 1 had a 99.7% higher risk (HR: 0.003; 95% CI: 0.001-0.027). The AUC-ROC was 0.98 (95% CI: 0.96-1.00).

Conclusion and Relevance Patients classified as level 1 in pharmaceutical care stratification model have a higher risk of mortality at one year. The predictive model developed highlights the importance of this concept and the need for both individualised pharmaceutical care and comprehensive monitoring.

Conflict of Interest No conflict of interest.

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