RESUMO
PURPOSE: To describe the patterns of drugs consumed by the male and female elderly living in Mexican private and public nursing homes. METHODS: Three hundred and fifty elderly participants from four nursing homes (2 private and 2 public) were selected for the six month study: 108 subjects were excluded; the remaining 242 were between 65 and 100 years old; 123 were females and 119 males. A complete clinical history was taken and clinical files were reviewed. RESULTS: Of the 242 elderly studied, 193 took diverse medications and 28.5% were at risk of some type of drug interaction. The groups of drugs more frequently consumed were vitamins and anti-anemic medications, followed by cardiovascular drugs. Females consumed greater number of drugs. They also consumed more drugs simultaneously. CONCLUSIONS: There is a need to monitor the elderly for their drugs pattern use.
Assuntos
Serviços de Saúde para Idosos , Casas de Saúde , Idoso , Idoso de 80 Anos ou mais , Artrite Reumatoide/tratamento farmacológico , Doenças Cardiovasculares/tratamento farmacológico , Monitoramento de Medicamentos , Uso de Medicamentos/estatística & dados numéricos , Feminino , Humanos , Masculino , Sistemas de Medicação , MéxicoRESUMO
OBJECTIVE: To validate the population pharmacokinetic parameters of chloramphenicol in pediatric patients with sepsis and malnutrition (PPSM) using a bayesian forecasting program. DESIGN: Retrospective evaluation of predictive performance of a bayesian program in PPSM. SETTING: Tertiary care center. PATIENTS: Fifteen MPSP and ten NMPSP that receiving treatment with chloramphenicol. METHODS AND MAIN RESULTS: In the first part of the study, the medical records of 10 MPSP and 10 NMPSP who had received treatment with chloramphenicol were reviewed. The population pharmacokinetic parameter values for each group were estimated using a nonparametric expectation maximization algorithm (NPEM). In the second part, data gathered from five other MPSP receiving chloramphenicol were entered into a bayesian program. Chloramphenicol pharmacokinetic values for each of these five patients were estimated, first using the values of NMPSP as a priori distribution and then repeating the analysis using the MPSP values. The bayesian serum chloramphenicol concentrations predicted for each population model were compared with the actual peaks and troughs. The specific model for MPSP permitted forecasting the peak and trough serum chloramphenicol concentrations with less bias and a better precision compared with the NMPSP population model. CONCLUSIONS: These data indicate that chloramphenicol pharmacokinetics in PPSM can be predicted with minimal bias and good precision using a bayesian forecasting program, allowing a better control of the chloramphenicol serum concentrations. In addition, the limited number of samples required by the bayesian method may represent an important economical benefit for the patient.