Total hip arthroplasty in HIV-infected patients: a retrospective, controlled study.

BACKGROUND: Although HIV-infected patients are at greater risk of presenting with ischaemic necrosis of the femoral head, there have been concerns about whether total hip arthroplasty (THA) may have worse outcomes than expected. METHODS: From the Orthopedic and Trauma Surgery database we identified all patients who had undergone THA because of ischaemic necrosis of the femoral head from January 2001 until March 2010. Patient's diagnosis of HIV infection was confirmed at the time of arthroplasty by cross-matching with the HIV unit database. For every THA in HIV-infected patients, two THAs in patients not known to be HIV-infected, with the same diagnosis of ischaemic necrosis of the femoral head and having undergone surgery over the same period, were randomly selected. THAs were compared in HIV- and non-HIV-infected patients for surgical procedure, in-patient stay and long-term prognosis. RESULTS: There were 18 THAs in 13 HIV-infected patients and 36 THAs in 27 non-HIV-infected patients. No significant differences were observed in the mean time spent in surgery (106 vs. 109 minutes, respectively; P = 0.66), the need for red cell transfusion (1 vs. 4, respectively; P = 0.48) or the mean duration of hospitalization (7.8 vs. 9.4 days, respectively; P = 0.48). The two groups showed similar postoperative functional results, which were maintained until the end of the follow-up period (median 3.3 years in the HIV-positive group and 5.8 years in the HIV-negative group). CONCLUSION: Our study suggests that the outcome of THA in HIV-positive patients is not worse than that of HIV-negative patients, although future research on larger numbers of patients is required to confirm this.

Evaluation of antiretroviral-related errors and interventions by the clinical pharmacist in hospitalized HIV-infected patients.

OBJECTIVES: The aim of the study was to identify antiretroviral-related errors in the prescribing of medication to HIV-infected inpatients and to ascertain the degree of acceptance of the pharmacist's interventions. METHODS: An observational, prospective, 1-year study was conducted in a 750-bed tertiary-care teaching hospital by a pharmacist trained in HIV pharmacotherapy. Interactions with antiretrovirals were checked for contraindicated combinations. Inpatient antiretroviral prescriptions were compared with outpatient dispensing records for reconciliation. Renal and hepatic function was monitored to determine the need for dose adjustments. RESULTS: The prescriptions for 247 admissions (189 patients) were reviewed. Sixty antiretroviral-related problems were identified in 41 patients (21.7%). The most common problem was contraindicated combinations (n=20; 33.3%), followed by incorrect dose (n=10; 16.7%), dose omission (n=9; 15%), lack of dosage reduction in patients with renal or hepatic impairment (n=6; 10% and n=1; 1.7%, respectively), omission of an antiretroviral (n=6; 10%), addition of an alternative antiretroviral (n=5; 8.3%) and incorrect schedule according to outpatient treatment (n=3; 5%). Fifteen out of 20 errors were made during admission. A multivariate analysis showed that factors associated with an increased risk of antiretroviral-related problems included renal impairment [odds ratio (OR) 3.95; 95% confidence interval (CI) 1.39-11.23], treatment with atazanavir (OR 3.53; 95% CI 1.61-7.76) and admission to a unit other than an infectious diseases unit (OR 2.50; 95% CI 1.28-4.88). Use of a nonnucleoside reverse transcriptase inhibitor was a protective factor (OR 0.33; 95% CI 0.13-0.81). Ninety-two per cent of the pharmacist's interventions were accepted. CONCLUSION: Antiretroviral-related errors affected more than one-in-five patients. The most common causes of error were contraindicated or not recommended drug-drug combinations and dose-related errors. A clinical pharmacist trained in HIV pharmacotherapy could help to detect errors and reduce the duration of their effect.

Inhibitory quotient as a prognostic factor of response to a salvage antiretroviral therapy containing ritonavir-boosted saquinavir. The CIVSA Study.

BACKGROUND: The addition of a low dose of ritonavir to protease inhibitors (PIs) has become a widespread strategy to improve PI pharmacokinetics. As resistance is a major barrier to long-term suppression, in salvage therapy genotype and/or phenotype scoring is currently used to predict the response. We evaluated the relationship between the saquinavir (SQV) inhibitory quotient (IQ) (virtual and genotypic) and virological response. METHODS: Eligible patients were on a PI-containing highly active antiretroviral therapy (HAART) regimen excluding SQV and had a viral load >5000 HIV-1 RNA copies/mL. The PI was switched to SQV/ritonavir (RTV) 1000/100 mg twice a day (bid) and the same two backbone nucleoside reverse transcriptase inhibitors (NRTIs) were maintained at least until week 4, when the resistance test results became available. Genotype and virtual phenotype were determined at baseline, while the SQV trough plasma concentration was determined at week 4. RESULTS: Fifty-three patients were included in the study. Mean baseline viral load and CD4 count were 137,693 copies/mL and 263 cells/microL, respectively, the mean number of previous PIs was 2.3 and the mean number of protease gene mutations (PGMs) was 4.1. Using an on-treatment analysis, at week 16 the mean increase in CD4 count was 70.9 cells/microL, viral load was <200 copies/mL in 17 out of 37 patients (45.9%), and 30 out of 45 patients (66.7%) were considered virological responders (VRs) (viral load <200 copies/mL or viral load declined > or =1 log(10) at week 16). Median virtual phenotype was 1.3 (0.6-6.9). Baseline differences were detected between VR and non-VR populations: the mean numbers of PGMs were 3.2 and 5.8 (P<0.05), the mean numbers of SQV-associated mutations were 2 and 3.8 (P<0.05), and the mean CD4 counts were 365.9 and 184.3 cells/microL (P<0.05), respectively. Mean SQV trough concentrations at week 4 were 1.1 and 1.0 microg/mL (not significant), and mean virtual IQs were 0.7 and 0.1 (P<0.01), respectively. Multivariate analysis showed that baseline PGMs >5 or SQV-associated mutations>5, virtual phenotype, baseline viral load >50,000 copies/mL, and virtual IQ <0.5, but not genotypic IQ, were the variables independently associated with non-VR. CONCLUSION: In heavily pretreated patients, the use of SQV virtual IQ or alternatively virtual phenotype, as well as PGMs, is a useful tool for the prediction of virological response.