People with decompensated cirrhosis are often prescribed a complex regimen of therapeutic and prophylactic medications. In other chronic diseases, polypharmacy increases the risk of medication misadventure and medication‐related problems (MRPs), with associated increased morbidity, mortality, and health care costs. This study examined MRPs in a cohort of ambulatory patients with a history of decompensated cirrhosis who were enrolled in a randomized controlled trial of a pharmacist‐led, patient‐oriented medication education intervention and assessed the association between MRPs and patient outcomes. A total of 375 MRPs were identified among 57 intervention patients (median, 6.0; interquartile range, 3.5‐8.0 per patient; maximum 17). Nonadherence (31.5%) and indication issues (29.1%) were the most prevalent MRP types. The risk of potential harm associated with MRPs was low in 18.9% of instances, medium in 33.1%, and high in 48.0%, as categorized by a clinician panel using a risk matrix tool. Patients had a greater incidence rate of high‐risk MRPs if they had a higher Child‐Pugh score (incidence rate ratio [IRR], 1.31; 95% confidence interval [CI], 1.09‐1.56); greater comorbidity burden (IRR, 1.15; 95% CI, 1.02‐1.29); and were taking more medications (IRR, 1.12; 95% CI, 1.04‐1.22). A total of 221 MRPs (58.9%) were resolved following pharmacist intervention. A greater proportion of high‐risk MRPs were resolved compared to those of low and medium risk (68.9% versus 49.7%; P < 0.001). During the 12‐month follow‐up period, intervention patients had a lower incidence rate of unplanned admissions compared to usual care (IRR, 0.52; 95% CI, 0.30‐0.92). Conclusion : High‐risk MRPs are prevalent among adults with decompensated cirrhosis. Pharmacist intervention facilitated identification and resolution of high‐risk MRPs and was associated with reduced incidence rate of unplanned hospital admissions in this group.
Aims The aim of this study was to explore whether genetic variation of cytochrome P450 2C9 (CYP2C9) contributes to NSAID-associated gastric ulceration. The hypothesis tested was that CYP2C9 poor metabolizer genotype would predict higher risk of gastric ulceration in patients on NSAIDs that are metabolized by CYP2C9, due to higher plasma NSAID concentrations. Methods Peripheral blood DNA samples from 23 people with a history of gastric ulceration attributed to NSAIDs metabolized by CYP2C9, and from 32 people on NSAIDs without gastropathy, were analysed to determine CYP2C9 genotype. Results The following genotypes were found: *1/*1 (wild type) in 70% of cases and 58% of controls, *1/*2 in 17% of cases and 29% of controls, *1/*3 in 13% of cases and 13% of controls. The difference between case and control nonwild-type genotype frequency was 11.5% (95% CI x14,37%), with the direction of the difference being against the hypothesis. No individuals with homozygote poor metaboliser genotype were identi®ed. The differences in genotype frequencies between the two groups were not signi®cant and the frequencies were similar to those in a large published population study. Ninety-®ve percent binomial con®dence interval analysis con®rms that there is no apparent clinically signi®cant relationship between CYP2C9 genotype and risk of gastric ulceration although a small difference in risk in poor metabolizers cannot be excluded. Conclusions These results do not support the hypothesis that gastric ulceration resulting from NSAID usage is linked to the poor metabolizing genotypes of CYP2C9.
Objective: To investigate the quality of drug interaction decision support in selected prescribing and dispensing software systems, and to compare this information with that found in a range of reference sources. Design and setting: A comparative study, conducted between June 2006 and February 2007, of the support provided for making decisions about 20 major and 20 minor drug interactions in six prescribing and three dispensing software systems used in primary care in Australia. Five electronic reference sources were evaluated for comparison. Main outcome measures: Sensitivity, specificity and quality of information; for major interactions: whether information on clinical effects, timeframe and pharmacological mechanism was included, whether management advice was helpful, and succinctness. Results: Six of the nine software systems had a sensitivity rate ≥ 90%, detecting most of the major interactions. Only 3/9 systems had a specificity rate of ≥ 80%, with other systems providing inappropriate or unhelpful alerts for many minor interactions. Only 2/9 systems provided adequate information about clinical effects for more than half the major drug interactions, and 1/9 provided useful management advice for more than half of these. The reference sources had high sensitivity and in general provided more comprehensive clinical information than the software systems. Conclusions: Drug interaction decision support in commonly used prescribing and dispensing software has significant shortcomings.
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