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      Analysis of Drug-Drug Interactions in Swiss Claims Data Using Tizanidine and Ciprofloxacin as a Prototypical Contraindicated Combination

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          Abstract

          Background: Potential drug-drug interactions (pDDIs) are described in various case reports, but few studies have evaluated the impact of specific combinations on a population level. Objective: To analyze the type and frequency of multiple contraindicated (X-pDDIs) and major interactions (D-pDDIs) and to subsequently assess the impact of the particular combination of tizanidine and ciprofloxacin on outpatient physician visits and hospitalizations. Methods: Anonymized Swiss claims data from 524 797 patients in 2014-2015 were analyzed. First, frequencies of X- and D-pDDIs were calculated. Next, a retrospective cohort study was conducted among patients prescribed tizanidine and ciprofloxacin (exposed, n = 199) or tizanidine and other antibiotics (unexposed, n = 960). Hospitalizations and outpatient physician visits within 7, 14, and 30 days after initiation of antibiotic therapy were evaluated using multiple binary logistic regression and multiple linear regression. Results: The relative frequencies of X- and D-pDDIs were 0.4% and 6.65%, respectively. In the cohort study, significant associations between exposure to tizanidine and ciprofloxacin and outpatient physician visits were identified for 14 and 30 days (odds ratio [OR] = 1.61 [95% CI = 1.17-2.24], P = 0.004, and OR = 1.59 [95% CI = 1.1-2.34], P = 0.016). A trend for increased risk of hospitalization was found for all evaluated time periods (OR = 1.68 [95% CI = 0.84-3.17], OR = 1.52 [95% CI = 0.63-3.33], and OR = 2.19 [95% CI = 0.88-5.02]). Conclusion and Relevance: The interaction between tizanidine and ciprofloxacin is not only relevant for individual patients, but also at the population level. Further investigation of the impact of other clinically relevant DDIs is necessary to improve patient safety and reduce avoidable health care utilization.

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          Hospital admissions/visits associated with drug-drug interactions: a systematic review and meta-analysis.

          To estimate prevalences of hospital admissions/visits associated with actual drug-drug interactions (DDIs) and examine the effect of study design (prospective vs. retrospective), population (all ages or adults), and method of detecting DDIs on reported prevalences. PubMed, International Pharmaceutical Abstracts, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature plus, and the Cochrane Database of Systematic Reviews up to October 2013 were searched for observational studies examining actual DDIs, in any language. The outcomes in this study were DDI prevalence rates in total populations, DDI prevalence rates in total adverse drug reaction patients, and frequency (%) of each pair of DDIs. Thirteen studies met our inclusion criteria. The median DDI prevalence rate for hospital admissions was 1.1% (367 DDI cases/47 976 patients, interquartile range [IQR] 0.4-2.4%). The median DDI prevalence rate for hospital visits was 0.1% (20 DDI cases/23 607 patients, IQR 0.0-0.3%). In adverse drug reaction patients, the median DDI prevalence rate for hospital admissions (308 DDI cases/1683 patients) and hospital visits (8 DDI cases/90 patients) were 22.2% (IQR 16.6-36.0%) and 8.9%, respectively. Medical record, interview, drug interaction screening program, adverse reaction report, and electronic medical record were identified as methods used for detecting DDIs. Non-steroidal anti-inflammatory drugs were most commonly involved in hospital admission associated DDIs, whereas warfarin was frequently involved in DDIs detected at hospital visits as outpatients/emergencies. Drug-drug interactions are a significant cause of hospital admissions and hospital visits. Improved DDI information gathering could help to reduce such adverse effects from DDIs, especially for patients using non-steroidal anti-inflammatory drugs and warfarin. Copyright © 2014 John Wiley & Sons, Ltd.
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            Hospitalisations and emergency department visits due to drug-drug interactions: a literature review.

            Our objective was to evaluate the incidence of adverse patient outcomes due to drug-drug interactions (D-DIs), the type of drugs involved and the underlying reason. As a proxy for adverse patient outcomes, emergency department (ED) visits, hospital admissions and re-hospitalisations were assessed. A literature search in the Medline and Embase database (1990-2006) was performed and references were tracked. An overall cumulative incidence was estimated by dividing the sum of the cases by the sum of the study populations. Twenty-three studies were found assessing the relationship between D-DIs and ED-visits, hospitalisations or re-hospitalisations. The studies with a large study size showed low incidences and vice versa. D-DIs were held responsible for 0.054% of the ED-visits, 0.57% of the hospital admissions and 0.12% of the re-hospitalisations. In the elderly population, D-DIs were held responsible for 4.8% of the admissions. Drugs most often involved were NSAIDs and cardiovascular drugs. The reasons for admissions or ED-visits, which were most often found were GI-tract bleeding, hyper- or hypotension and cardiac rhythm disturbances. This review provides information on the overall incidence of D-DIs as a cause of adverse patient outcomes, although there is still uncertainty about the impact of D-DIs on adverse patient outcomes. Our results suggest that a limited number of drugs are involved in the majority of cases and that the number of reasons for admission as a consequence of D-DIs seems to be modest. Copyright (c) 2006 John Wiley & Sons, Ltd.
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              Drug-drug interactions associated with length of stay and cost of hospitalization.

              To evaluate the prevalence of drug-drug interactions (DDI) in prescriptions of hospitalized patients and to identify risk factors associated. A retrospective cross-sectional analysis of prescription data and medical records from a public hospital in Brazil was conducted to identify potential DDI. An inappropriate drug combination was identified and classified with a standard drug interaction source. The main diagnoses were classified with Charlson Comorbidity Index (CCI). Sex, age, polypharmacy and length of stay, among other variables, were correlated with the frequency of potential DDI. The study included 589 patients and 3,585 prescriptions. Thirty-seven percent of the patients were exposed to at least one potential interaction during their stay in the hospital. The most frequent interacting pair was Digoxin+Furosemide (11%). In univariate analysis, several variables were associated with DDI, including sex, age, number of prescribed drugs, length and cost of hospitalization and CCI. Multivariate analysis showed that the adjusted odds of being prescribed a potential DDI among patients in polypharmacy was almost five-fold that of patients taking less than five drugs. Further, length of stay, CCI and cost of hospitalization were independently associated with DDI. Analysis of prescription data found that a substantial number of potential DDI were identified. Results of this study indicate that DDI is associated with number of prescribed drugs, increased duration of stay in the hospital and cost, which suggest that DDI are a significant clinical and economic problem. Potential damage to patients could be avoided.
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                Author and article information

                Journal
                Ann Pharmacother
                Ann Pharmacother
                AOP
                spaop
                The Annals of Pharmacotherapy
                SAGE Publications (Sage CA: Los Angeles, CA )
                1060-0280
                1542-6270
                11 May 2018
                October 2018
                : 52
                : 10
                : 983-991
                Affiliations
                [1 ]Department of Clinical Pharmacology and Toxicology, University Hospital Zurich and University of Zurich, Switzerland
                [2 ]Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich, Switzerland
                [3 ]EPha.ch AG, Project Drug Safety, Zurich, Switzerland
                [4 ]Department of Client Services & Benefits, Helsana Group, Zurich, Switzerland
                [5 ]EBPI, Department of Biostatistics, University of Zurich, Switzerland
                Author notes
                [*]Marco Egbring, MD, Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland. Email: marco.egbring@ 123456usz.ch
                Author information
                https://orcid.org/0000-0002-0000-0110
                https://orcid.org/0000-0002-4201-1483
                Article
                10.1177_1060028018775914
                10.1177/1060028018775914
                6136070
                29749261
                63ff873b-e7c7-49da-a9b8-eb5d8af740ce
                © The Author(s) 2018

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                drug interactions,ciprofloxacin,muscle relaxants,drug safety,pharmacoepidemiology,health care utilization

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