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Rickey L, Auger K, Britto MT, Rodgers I, Field S, Odom A, Lehr M, Cronin A, Walsh KE. Measurement of Ambulatory Medication Errors in Children: A Scoping Review. Pediatrics 2023; 152:e2023061281. [PMID: 37986581 DOI: 10.1542/peds.2023-061281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/20/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Children use most medications in the ambulatory setting where errors are infrequently intercepted. There is currently no established measure set for ambulatory pediatric medication errors. We have sought to identify the range of existing measures of ambulatory pediatric medication errors, describe the data sources for error measurement, and describe their reliability. METHODS We performed a scoping review of the literature published since 1986 using PubMed, CINAHL, PsycINFO, Web of Science, Embase, and Cochrane and of grey literature. Studies were included if they measured ambulatory, including home, medication errors in children 0 to 26 years. Measures were grouped by phase of the medication use pathway and thematically by measure type. RESULTS We included 138 published studies and 4 studies from the grey literature and identified 21 measures of medication errors along the medication use pathway. Most measures addressed errors in medication prescribing (n = 6), and administration at home (n = 4), often using prescription-level data and observation, respectively. Measures assessing errors at multiple phases of the medication use pathway (n = 3) frequently used error reporting databases and prospective measurement through direct in-home observation. We identified few measures of dispensing and monitoring errors. Only 31 studies used measurement methods that included an assessment of reliability. CONCLUSIONS Although most available, reliable measures are too resource and time-intensive to assess errors at the health system or population level, we were able to identify some measures that may be adopted for continuous measurement and quality improvement.
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Affiliation(s)
- Lisa Rickey
- Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Katherine Auger
- Division of Hospital Medicine
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Maria T Britto
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Isabelle Rodgers
- Section of Pediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts
| | - Shayna Field
- Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Alayna Odom
- Division of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Madison Lehr
- Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | | | - Kathleen E Walsh
- Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
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Hosseinpoor Z, Farzanegan B, Baniasadi S. Comparing Important and Well-documented Potential Drug–Drug Interactions between Emergency, Medical, and Surgical ICUs of a Respiratory Referral Center. Indian J Crit Care Med 2022; 26:574-578. [PMID: 35719432 PMCID: PMC9160617 DOI: 10.5005/jp-journals-10071-23902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Introduction Drug–drug interaction (DDI) is one of the major healthcare challenges in intensive care units (ICUs). The prevalence of DDIs and interacting drug pairs may vary between different types of ICUs. This study aimed to compare the frequency and nature of important and well-documented potential DDIs (pDDIs) in three types of ICUs. Materials and methods A prospective study was conducted in medical (M), surgical (S), and emergency (E) ICUs of a tertiary referral center for respiratory diseases. A pharmacist checked the patients’ files three days in a week for 6 months. The pDDIs were identified using the Lexi-Interact database. Interactions with a severity rating of D (modify regimen) and X (avoid combination) and with a reliability rating of good and excellent were considered important and well-documented. These pDDIs were evaluated in terms of drug combinations, mechanisms of interaction, and clinical management. Results One hundred eighty-nine patients admitted to MICU, SICU, and EICU were included in the study. The percentage of patients who experienced at least one important and well-documented pDDI was 18.8% in MICU, 11.1% in SICU, and 11.8% in EICU. The most common drug pairs causing important and well-documented interactions were atracurium + hydrocortisone in MICU, meropenem + valproic acid in MICU and EICU, and aspirin + warfarin in SICU. Conclusion The current study shows different frequency and nature of pDDIs between three types of ICUs. We recommend conducting similar studies in other settings to develop evidence-based guidance on clinically relevant pDDIs in different types of ICUs. How to cite this article Hosseinpoor Z, Farzanegan B, Baniasadi S. Comparing Important and Well-documented Potential Drug–Drug Interactions between Emergency, Medical, and Surgical ICUs of a Respiratory Referral Center. Indian J Crit Care Med 2022;26(5):574–578.
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Affiliation(s)
- Zeinab Hosseinpoor
- Department of Clinical Pharmacy, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Shadi Baniasadi, Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Phone: +98-21-26105387, e-mail: ,
| | - Behrooz Farzanegan
- Critical Care Quality Improvement Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shadi Baniasadi
- Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Rabba AK, Atta WO, Naser AN, Injas AA, Naseef HA, Abukhalil AD. A retrospective evaluation of drug–drug interactions in patients admitted to Internal Medicine Departments in Palestinian Hospitals. SAGE Open Med 2022; 10:20503121221138488. [DOI: 10.1177/20503121221138488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/26/2022] [Indexed: 11/22/2022] Open
Abstract
Objective: To measure the prevalence and identify risk factors associated with drug–drug interactions among patients admitted to internal medicine departments in Palestinian hospitals Methods: A retrospective cross-sectional observational study was conducted. Data were obtained from patient files from the internal medicine departments in Palestinian hospitals from 1 September 2017, to 31 March 2018. The data collected included patient gender, age, length of hospitalization, medications prescribed, and the number of medications. The digital clinical decision support system IBM Micromedex® was used to assess potential drug–drug interactions. Results: The number of patients included in this study is 513. The total number of potential drug–drug interactions detected in study participants is 1558. The average number of potential drug–drug interactions per patient was found to be 3 ± 3.9. Among study participants, 66.1% (n = 339) were found to have potential drug–drug interactions in their current medications. The most commonly encountered drug–drug interactions type was “major” drug–drug interaction, which was encountered in 43.6% (n = 681) of total detected drug–drug interactions. Other types of drug–drug interactions were encountered in 42% (n = 647), 14% (n = 224), and 0.4% (n = 6) which were moderate, minor, and contraindicated drug–drug interactions, respectively. Patients’ age, number of medications, and length of hospitalization were associated with the increased risk of potential drug–drug interactions. Conclusion: The results indicated a high prevalence of potential drug–drug interactions in Palestinian hospitals, associated with polypharmacy, increased age, and increased length of hospitalization. Therefore, managing patient medication by a drug expert such as a clinical pharmacist to identify and resolve potential drug–drug interactions will possibly decrease the high prevalence of drug–drug interactions, prevent patient harm, and decrease the cost of hospitalization.
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Affiliation(s)
| | - Waffa O Atta
- Department of Pharmacy, Birzeit University, Birzeit, Palestine
| | - Aseel N Naser
- Department of Pharmacy, Birzeit University, Birzeit, Palestine
| | - Aya A Injas
- Department of Pharmacy, Birzeit University, Birzeit, Palestine
| | - Hani A Naseef
- Department of Pharmacy, Birzeit University, Birzeit, Palestine
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Risk Factors for the Occurrence of Potential Drug-Drug Interactions in Surgical Patients. SERBIAN JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2021. [DOI: 10.2478/sjecr-2019-0032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Background: Drug-drug interactions are defined as modifications of the drug action that result from the simultaneous administration of another individual drug or several drugs. Nowadays, potential drug-drug interactions (DDIs) are most frequently detected and analyzed using personal digital assistant software programs (online interaction checker tools).
Objective: To determine the risk factors for the emergence of all drug-drug interactions in surgical patients with particular emphasis on clinically significant interactions.
Patients and methods: This was a retrospective cohort analysis of patients treated at the Surgical Clinic of the Clinical Center Kragujevac. Three interaction checkers were used to reveal drug-drug interactions: Medscape, Epocrates and Micromedex.
Results: The study included total of 200 patients, aged 58.54±17.08 years. Average number of drug-drug interactions per patient was between 10.50±9.10 (Micromedex) and 18.75±17.14 (Epocrates). Number of prescribed drugs, antidepressive therapy, antiarrhythmic therapy, number of pharmacological/therapeutic subgroups (2nd level of ATC classification) prescribed, delirium or dementia, diabetes, heart failure, and number of physicians who prescribed drugs to single patient were identified as risk factors for drug-drug interactions while length of hospitalization in days and age of patient in years emerged as protective factors.
Conclusion: Drug-drug interactions are relatively common in surgical patients and predisposed by factors such as number of prescribed drugs or drug group per patient, number of physicians who prescribed drugs, antidepressive therapy, antiarrhythmic therapy, presence of delirium or dementia, diabetes and heart failure. On the other hand, prolonged hospitalization and higher age are factors that reduce the risk of interactions in surgical patients.
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Abbas A, Al-Shaibi S, Sankaralingam S, Awaisu A, Kattezhathu VS, Wongwiwatthananukit S, Owusu YB. Determination of potential drug-drug interactions in prescription orders dispensed in a community pharmacy setting using Micromedex ® and Lexicomp ®: a retrospective observational study. Int J Clin Pharm 2021; 44:348-356. [PMID: 34811600 DOI: 10.1007/s11096-021-01346-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/25/2021] [Indexed: 10/19/2022]
Abstract
Background Community pharmacists have a role in identifying drug-drug interactions (DDIs) when processing prescription orders and dispensing medications to patients. The harmful effects of DDIs can be prevented or minimized by using an electronic DDI checker to screen for potential DDIs (pDDIs). However, different DDI checkers have variable rates of detecting pDDIs. Aim To estimate the prevalence of pDDIs in prescriptions dispensed in a community pharmacy setting using two electronic DDI databases and to evaluate the association between the pDDIs and contributory factors. Method Eligible prescription orders dispensed by a community pharmacy chain in Qatar from January to July 2020 were included in this retrospective observational study. For each prescription, Micromedex® and Lexicomp® were simultaneously used to identify pDDIs, and the interactions categorized based on severity and risk rating. Results Seven hundred-twenty prescriptions met the inclusion criteria, of which Micromedex® and Lexicomp® respectively identified 125 prescriptions (17.4%) and 230 prescriptions (31.9%) as having at least one pDDI. Moderate strength of agreement was found between Lexicomp® and Micromedex® in identifying pDDIs (Cohen's Kappa = 0.546). Micromedex® classified 61.6% of DDIs as major severity, while Lexicomp® classified 30.8% as major severity. The number of concurrent medications per prescription was significantly and positively associated with pDDI. Conclusion This study demonstrates a high prevalence of pDDIs among prescriptions dispensed in a community pharmacy setting. It is advisable that community pharmacists in Qatar, who typically do not have access to computerized patient profiles, use these DDI checkers to ensure all pDDIs are communicated to respective prescribers for appropriate action.
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Affiliation(s)
- Afraa Abbas
- Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar
| | - Samaher Al-Shaibi
- Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar
| | - Sowndramalingam Sankaralingam
- Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar
| | - Ahmed Awaisu
- Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar
| | | | - Supakit Wongwiwatthananukit
- Department of Pharmacy Practice, The Daniel K. Inouye College of Pharmacy, University of Hawaii at Hilo, Hilo, HI, USA
| | - Yaw B Owusu
- Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
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Alcusky M, Thomas RB, Jafari N, Keith SW, Kee A, Del Canale S, Lombardi M, Maio V. Reduction in unplanned hospitalizations associated with a physician focused intervention to reduce potentially inappropriate medication use among older adults: a population-based cohort study. BMC Geriatr 2021; 21:218. [PMID: 33789589 PMCID: PMC8011227 DOI: 10.1186/s12877-021-02172-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/17/2021] [Indexed: 11/24/2022] Open
Abstract
Background A multimodal general practitioner-focused intervention in the Local Health Authority (LHA) of Parma, Italy, substantially reduced the prevalence of potentially inappropriate medication (PIM) use among older adults. Our objective was to estimate changes in hospitalization rates associated with the Parma LHA quality improvement initiative that reduced PIM use. Methods This population-based longitudinal cohort study was conducted among older residents (> 65 years) using the Parma LHA administrative healthcare database. Crude and adjusted unplanned hospitalization rates were estimated in 3 periods (pre-intervention: 2005–2008, intervention: 2009–2010, post-intervention: 2011–2014). Multivariable negative binomial models estimated trends in quarterly hospitalization rates among individuals at risk during each period using a piecewise linear spline for time, adjusted for time-dependent and time-fixed covariates. Results The pre-intervention, intervention, and post-intervention periods included 117,061, 107,347, and 121,871 older adults and had crude hospitalization rates of 146.2 (95% CI: 142.2–150.3), 146.8 (95% CI: 143.6–150.0), and 140.8 (95% CI: 136.9–144.7) per 1000 persons per year, respectively. The adjusted pre-intervention hospitalization rate was declining by 0.7% per quarter (IRR = 0.993; 95% CI: 0.991–0.995). The hospitalization rate declined more than twice as fast during the intervention period (1.8% per quarter, IRR = 0.982; 95% CI: 0.979–0.985) and was nearly constant post-intervention (IRR: 0.999; 95% CI: 0.997–1.001). Contrasting model predictions for the intervention period (Q1 2009 to Q4 2010), the intervention was associated with 1481 avoided hospitalizations. Conclusion In a large population of older adults, a multimodal general practitioner-focused intervention to decrease PIM use was associated with a decline in the unplanned hospitalization rate. Such interventions to reduce high risk medication use among older adults warrant consideration by health systems seeking to improve health outcomes and reduce high-cost acute care utilization. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02172-3.
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Affiliation(s)
- M Alcusky
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Albert Sherman Building, 6th Floor, 368 Plantation Street, Worcester, MA, USA.
| | - R B Thomas
- Jefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10th Floor, Philadelphia, PA, 19107, USA
| | - N Jafari
- Center for Research in Medical Education and Health Care, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - S W Keith
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - A Kee
- Jefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10th Floor, Philadelphia, PA, 19107, USA
| | - S Del Canale
- Azienda Unità Sanitaria Locale di Parma (Local Health Authority of Parma), Parma, Italy
| | - M Lombardi
- Azienda Unità Sanitaria Locale di Parma (Local Health Authority of Parma), Parma, Italy
| | - V Maio
- Jefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10th Floor, Philadelphia, PA, 19107, USA.
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Kardas P, Urbański F, Lichwierowicz A, Chudzyńska E, Czech M, Makowska K, Kardas G. The Prevalence of Selected Potential Drug-Drug Interactions of Analgesic Drugs and Possible Methods of Preventing Them: Lessons Learned From the Analysis of the Real-World National Database of 38 Million Citizens of Poland. Front Pharmacol 2021; 11:607852. [PMID: 33536918 PMCID: PMC7849760 DOI: 10.3389/fphar.2020.607852] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 12/07/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction: Drug-drug interactions may lead to poor health outcomes, as well as increased costs and utilization of healthcare services. Unfortunately, real-world data continuously prove high prevalence of potential drug-drug interactions (pDDIs) worldwide. Among identified drivers, ageing, multimorbidity and polypharmacy play a very important role. With these factors being widespread, the need for implementation of strategies minimizing the burden of pDDIs becomes an urgency. This, however, requires a better understanding of the prevalence of pDDIs and the underlying causative factors. Aim of study: To assess the real-world prevalence of pDDIs and its characteristics in the general population of Poland, using analgesic drugs as a model, and to find out whether pDDIs are caused by prescribing coming from the very same prescribers (co-prescribing). Methods: A retrospective analysis of the 2018 dispensation data of the National Health Fund (NHF) - the only Polish public healthcare payer organization with nationwide coverage. We searched for selected pDDIs of non-steroidal anti-inflammatory drugs (NSAIDs) with antihypertensives, other NSAIDs (double use), oral glucocorticoids, oral anticoagulants, selective serotonin reuptake inhibitors (SSRIs), serotonin–norepinephrine reuptake inhibitors (SNRIs), and antiplatelet drugs; as well as opioides with SSRIs, SNRIs, gabapentinoids, and benzodiazepines. A pDDI was deemed present if two drugs standing in a possible conflict were dispensed within the same calendar month. Results: Out of 38.4 million citizens of Poland, 23.3 million were dispensed prescribed drugs reimbursed by NHF in 2018. In this cohort, we have identified 2,485,787 cases of analgesic drug pDDIs, corresponding with 6.47% of the Polish population. Out of these, the most prevalent pDDI was caused by “NSAIDs + antihypertensives” (1,583,575 cases, i.e., 4.12% of the Polish population), followed by “NSAIDs + NSAIDs” (538,640, 1.40%) and “NSAIDs + glucocorticoids” (213,504, 0.56%). The most persistent pDDIs among those studied were caused by “Opioids + Gabapentinoids” (2.19, 95%CI: 2.16–2.22 months). On average, 76.63% of all cases of pDDIs were caused by drugs prescribed by the very same prescribers. Conclusion: Based on high-quality, nationwide data, we have found a high prevalence of analgesic drugs-related pDDIs in Poland. Over ¾ of the identified pDDIs were caused by co-prescribing, i.e., prescriptions issued by the same prescribers. The significance of the problem, illustrated with our findings on analgesic drugs-related pDDIs in Poland, deserves much more scientific and policymaker attention.
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Affiliation(s)
- Przemysław Kardas
- Department of Family Medicine, Medical University of Lodz, Łódź, Poland
| | | | | | | | - Marcin Czech
- Department of Pharmacoeconomics, Institute of Mother and Child, Warsaw, Poland
| | | | - Grzegorz Kardas
- Department of Internal Diseases, Asthma and Allergy, Medical University of Lodz, Łódź, Poland
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Masjedi M, Mirjalili M, Mirzaei E, Mirzaee H, Vazin A. The effect of different intensivist staffing patterns on the rate of potential drug-drug interactions in adult trauma intensive care units. Ther Adv Drug Saf 2020; 11:2042098620980640. [PMID: 33447355 PMCID: PMC7780171 DOI: 10.1177/2042098620980640] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Drug-drug interactions (DDIs) have created alarming challenges for public health, especially in those admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and decreases the treatment costs. The effect of academic versus non-academic (therapeutic) intensivist as well as hours of coverage and attendance of intensivist on potential DDIs (pDDIs) was evaluated in six adult trauma ICUs of a level one trauma center. METHODS In this 6-month cross-sectional study, 200 patients were included. The DDIs were classified into five groups, including type A, B, C, D, and X. pDDIs were defined as interactions belonged to C, D and X categories. Patients in six adult ICUs with three different patterns of intensivist staffing models including type A (once-daily therapeutic intensivist visit followed by 24 h on-call), B (twice-daily academic intensivist visit, 8 h of attendance in ICU and 16 h on-call) and C (all criteria just like ICU type B, except for the presence of therapeutic instead of academic intensivist) were screened for pDDIs. RESULTS In total, 3735 drug orders and 3869 drugs (193 different types) were screened and 1826 pDDIs were identified. Type C, D and X interactions accounted for 60.6%, 35.5%, and 3.9% of all pDDIs, respectively. The mean of pDDI per patient was significantly higher (p-value < 0.001) in the ICU type A than ICU types C and B. The frequency of pDDIs was the highest in the type A ICUs. A statistically significant relationship was observed between the number of prescribed drugs and ICU length of stay (p-value < 0.001 and p = 0.009, respectively). CONCLUSION Different patterns of intensivist staffing affect pDDIs to varying degrees. In the studied ICUs academic versus therapeutic intensivist, twice versus once-daily visit, and 8 h attendance with16 h on-call versus 24 h on-call were associated with more reductions in pDDIs. PLAIN LANGUAGE SUMMARY The impact of different intensivist staffing patterns in ICUs on the rate of potential drug-drug interactionsDrug-drug interactions (DDIs) have created alarming challenges for public health, especially in patients admitted to intensive care units (ICUs). Many studies have shown that involvement of intensivists in the ICUs improves the outcome and limits the costs. Considering the high incidence of potential DDIs (pDDIs) occurring for critically ill patients and the importance of ADRs caused by pDDIs in ICUs, the effect of the presence of an academic versus therapeutic intensivist, as well as the hour of coverage of intensivist on prevalence of pDDIs was evaluated in six adult trauma ICUs of a level one trauma center in Shiraz, Iran. We also determined the prevalence of pDDIs and their associated risk factors. To the best of our knowledge, this is the first study that has assessed the effect of various ICU physician staffing models on the incidence and pattern of pDDIs.
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Affiliation(s)
- Mansoor Masjedi
- Department of Anesthesiology, Faculty of Medicine, Shiraz University of Medical Science, Shiraz, Fars, Iran
| | - Mahtabalsadat Mirjalili
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shiraz University of Medical Science, Shiraz, Fars, Iran
| | - Ehsan Mirzaei
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shiraz University of Medical Science, Shiraz, Fars, Iran
| | - Hadis Mirzaee
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shiraz University of Medical Science, Shiraz, Fars, Iran
| | - Afsaneh Vazin
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shiraz University of Medical Sciences, Karafarin Street, PO Box 7146864685, Shiraz, Iran
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Ismail M, Khan S, Khan F, Noor S, Sajid H, Yar S, Rasheed I. Prevalence and significance of potential drug-drug interactions among cancer patients receiving chemotherapy. BMC Cancer 2020; 20:335. [PMID: 32307008 PMCID: PMC7168989 DOI: 10.1186/s12885-020-06855-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 04/13/2020] [Indexed: 12/12/2022] Open
Abstract
Background Cancer patients often receive multiple drugs to maximize their therapeutic benefit, treat co-morbidities and counter the adverse effects of chemotherapy. Concomitant administration of multiple drugs increases the risk of drug interactions leading to compromised therapeutic efficacy or safety of therapy. The purpose of this study was to identify the prevalence, levels and predictors of potential drug-drug interactions (pDDIs) among cancer patients. Methods Six hundred and 78 patients receiving chemotherapy from two tertiary care hospitals were included in this cross-sectional study. Patient medication profiles were screened for pDDIs using the Micromedex® database. Logistic regression analysis was performed to identify the predictors of pDDIs. Results The overall prevalence of pDDIs was 78%, majority of patients had 1–2 pDDIs (39.2%). A total of 1843 pDDIs were detected. Major-pDDIs were most frequent (67.3%) whereas, a significant association of pDDIs was found between > 7 all prescribed drugs (p < 0.001) and ≥ 3 anti-cancer drugs (p < 0.001). Potential adverse outcomes of these interactions include reduced therapeutic effectiveness, QT interval prolongation, tendon rupture, bone marrow suppression and neurotoxicity. Conclusions Major finding of this study is the high prevalence of pDDIs signifying the need of strict patient monitoring for pDDIs among cancer patients. Patients at higher risk to pDDIs include those prescribed with > 7 any types of drugs or ≥ 3 anticancer drugs. Moreover, list of most frequently identified major and moderate interactions will aid health care professional in timely identification and prevention of pDDIs.
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Affiliation(s)
- Mohammad Ismail
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
| | - Sehrash Khan
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Fahadullah Khan
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Sidra Noor
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Hira Sajid
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Shazia Yar
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Irum Rasheed
- Department of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
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Liu Y, Zhang R, Li Z, Zhou J, Yang T, Yang C, Huang X, Zhang Y, Shi S. Lack of effect of Imrecoxib, an innovative and moderate COX-2 inhibitor, on pharmacokinetics and pharmacodynamics of warfarin in healthy volunteers. Sci Rep 2019; 9:15774. [PMID: 31673051 PMCID: PMC6823368 DOI: 10.1038/s41598-019-51755-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 10/07/2019] [Indexed: 01/10/2023] Open
Abstract
Imrecoxib is a registered treatment for osteoarthritis pain symptoms in China. This study aims to assess the effect of imrecoxib on the pharmacodynamics and pharmacokinetics of warfarin. 12 healthy male volunteers with CYP2C9*3 AA and VKORC1 AA genotypes took a 5 mg dose of warfarin both alone and concomitantly with steady-state imrecoxib. Both warfarin alone and concomitantly with imrecoxib have safey and good tolerance across the trial. Following warfarin and imrecoxib co-administration, neither Cmax, AUC0-t and t1/2 of warfarin enantiomers nor AUC of international normalized ratio (INR) were markedly different from those of warfarin alone. The geometric mean ratios (GMRs) (warfarin + imrecoxib: warfarin alone) of INR(AUC) was 1 (0.99, 1.01). The GMRs of warfarin AUC0-∞ (90% confidence interval, CIs) for warfarin + imrecoxib: warfarin alone were 1.12 (1.08, 1.16) for R-warfarin and 1.13 (1.07, 1.18) for S- warfarin. The 90% CIs of the GMRs of AUC0-∞, Cmax and INR (AUC) were all within a 0.8–1.25 interval. The combination of warfarin and imrecoxib did not impact the pharmacodynamics and pharmacokinetics of single-dose warfarin; therefore, when treating a patient with imrecoxib and warfarin, it is not required to adjust the dosage of warfarin.
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Affiliation(s)
- Yani Liu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Rui Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zhongfang Li
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiali Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tingyu Yang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Chunxiao Yang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xixi Huang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shaojun Shi
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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11
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Mahlknecht A, Krisch L, Nestler N, Bauer U, Letz N, Zenz D, Schuler J, Fährmann L, Hempel G, Flamm M, Osterbrink J. Impact of training and structured medication review on medication appropriateness and patient-related outcomes in nursing homes: results from the interventional study InTherAKT. BMC Geriatr 2019; 19:257. [PMID: 31533630 PMCID: PMC6749664 DOI: 10.1186/s12877-019-1263-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 08/29/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Uncoordinated interprofessional communication in nursing homes increases the risk of polypharmacy and inappropriate medication use. This may lead to augmented frequency of adverse drug events, hospitalizations and mortality. The aims of this study were (1) to improve interprofessional communication and medication safety using a combined intervention and thus, (2) to improve medication appropriateness and health-related outcomes of the included residents. METHODS The single-arm interventional study (2014-2017) was conducted in Muenster, Germany and involved healthcare professionals and residents of nursing homes. The intervention consisted of systematic education of participating healthcare professionals and of a structured interprofessional medication review which was performed via an online communication platform. The primary endpoint was assessed using the Medication Appropriateness Index MAI. Secondary endpoints were: cognitive performance, delirium, agitation, mobility, number of drugs, number of severe drug-drug interactions and appropriateness of analgesics. Outcomes were measured before, during and after the intervention. Data were analyzed using descriptive and inference-statistical methods. RESULTS Fourteen general practitioners, 11 pharmacists, 9 nursing homes and 120 residents (n = 83 at all testing times) participated. Overall MAI sum-score decreased significantly over time (mean reduction: -7.1, CI95% -11.4 - - 2.8; median = - 3.0; dCohen = 0.39), especially in cases with baseline sum-score ≥ 24 points (mean reduction: -17.4, CI95% -27.6 - - 7.2; median = - 15.0; dCohen = 0.86). MAI sum-score of analgesics also decreased (dCohen = 0.45). Mean number of severe drug-drug interactions rose slightly over time (dCohen = 0.17). The proportion of residents showing agitated behavior diminished from 83.9 to 67.8%. Remaining secondary outcomes were without substantial change. CONCLUSION Medication appropriateness increased particularly in residents with high baseline MAI sum-scores. Cognitive decline of participating residents was seemingly decelerated when compared with epidemiologic studies. A controlled trial is required to confirm these effects. Interprofessional interaction was structured and performance of medication reviews was facilitated as the online communication platform provided unlimited and consistent access to all relevant and updated information. TRIAL REGISTRATION DRKS Data Management, ID: DRKS00007900 , date of registration: 2015-09-02 (retrospectively registered i.e. 6 weeks after commencement of the first data collection).
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Affiliation(s)
- Angelika Mahlknecht
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Laura Krisch
- Institute of Nursing Science and Practice, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Nadja Nestler
- Institute of Nursing Science and Practice, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Ulrike Bauer
- Institute of Nursing Science and Practice, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Nina Letz
- Institute of Nursing Science and Practice, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Daniel Zenz
- smart-Q Softwaresysteme GmbH, BioMedizinZentrum Bochum, Universitätsstraße 136, 44799 Bochum, Germany
| | - Jochen Schuler
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Laura Fährmann
- Department of Pharmaceutical and Medical Chemistry - Clinical Pharmacy, Westfaelische Wilhelms-University, Corrensstraße 48, 48149 Muenster, Germany
| | - Georg Hempel
- Department of Pharmaceutical and Medical Chemistry - Clinical Pharmacy, Westfaelische Wilhelms-University, Corrensstraße 48, 48149 Muenster, Germany
| | - Maria Flamm
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
| | - Jürgen Osterbrink
- Institute of Nursing Science and Practice, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
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12
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Gallo P, De Vincentis A, Pedone C, Nobili A, Tettamanti M, Gentilucci UV, Picardi A, Mannucci PM, Incalzi RA. Drug-drug interactions involving CYP3A4 and p-glycoprotein in hospitalized elderly patients. Eur J Intern Med 2019; 65:51-57. [PMID: 31084979 DOI: 10.1016/j.ejim.2019.05.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 05/02/2019] [Accepted: 05/04/2019] [Indexed: 01/21/2023]
Abstract
Polypharmacy is very common in older patients and may be associated with drug-drug interactions. Hepatic cytochrome P450 (notably 3A4 subtype, CYP3A4) is a key enzyme which metabolizes most drugs; P-glycoprotein (P-gp) is a transporter which significantly influences distribution and bioavailability of many drugs. In this study, we assess the prevalence and patterns of potential interactions observed in an hospitalized older cohort (Registro Politerapia Società Italiana di Medicina Interna) exposed to at least two interacting drugs involving CYP3A4 and P-gp at admission, during hospitalization and at discharge. Individuals aged 65 and older (N-4039; mean age 79.2; male 48.1%), hospitalized between 2010 and 2016, were selected. The most common combinations of interacting drugs (relative frequency > 5%) and socio-demographic and clinical factors associated with the interactions were reported. The prevalence of interactions for CYP3A4 was 7.9% on admission, 10.3% during the stay and 10.7% at discharge; the corresponding figures for P-gp interactions were 2.2%, 3.8% and 3.8%. The most frequent interactions were amiodarone-statin for CYP3A4 and atorvastatin-verapamil-diltiazem for P-gp. The prevalence of some interactions, mainly those involving cardiovascular drugs, decreased at discharge, whereas that of others, e.g. those involving neuropsychiatric drugs, increased. The strongest factor associated with interactions was polypharmacy (OR 6.7, 95% CI 5.0-9.2). In conclusion, hospital admission is associated with an increased prevalence, but also a changing pattern of interactions concerning CYP3A4 and P-gp in elderly. Educational strategies and appropriate use of dedicated software seem desirable to limit drug interactions and the inherent risk of adverse events in older patients.
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Affiliation(s)
- Paolo Gallo
- Unit of Internal Medicine and Hepatology, University Campus Bio-Medico, Rome, Italy
| | - Antonio De Vincentis
- Unit of Internal Medicine and Hepatology, University Campus Bio-Medico, Rome, Italy.
| | - Claudio Pedone
- Unit of Geriatrics, University Campus Bio-Medico, Rome, Italy
| | - Alessandro Nobili
- IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Mauro Tettamanti
- IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | | | - Antonio Picardi
- Unit of Internal Medicine and Hepatology, University Campus Bio-Medico, Rome, Italy
| | | | - Raffaele Antonelli Incalzi
- Unit of Internal Medicine and Hepatology, University Campus Bio-Medico, Rome, Italy; Unit of Geriatrics, University Campus Bio-Medico, Rome, Italy
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13
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Sultana J, Giorgianni F, Rea F, Lucenteforte E, Lombardi N, Mugelli A, Vannacci A, Liperoti R, Kirchmayer U, Vitale C, Chinellato A, Roberto G, Corrao G, Trifirò G. All-cause mortality and antipsychotic use among elderly persons with high baseline cardiovascular and cerebrovascular risk: a multi-center retrospective cohort study in Italy. Expert Opin Drug Metab Toxicol 2019; 15:179-188. [PMID: 30572727 DOI: 10.1080/17425255.2019.1561860] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Little is known about the comparative risk of death with atypical or conventional antipsychotics (APs) among persons with cardiovascular or cerebrovascular disease (CCD). RESEARCH DESIGN AND METHODS A cohort study was conducted using five Italian claims databases. New atypical AP users with CCD aged ≥65 (reference) were matched to new conventional AP users. Mortality per 100 person-years (PYs) and hazard ratios (HR), estimated using Cox models, were reported. Incidence and risk of death were estimated for persons having drug-drug interactions. Outcome occurrence was evaluated 180 days after AP initiation. RESULTS Overall 24,711 and 27,051 elderly new conventional and atypical AP users were identified. The mortality rate was 51.3 and 38.5 deaths per 100 PYs for conventional and atypical AP users. Mortality risk was 1.33 (95%CI: 1.27-1.39) for conventional APs. There was no increased mortality risk with single drug-drug interactions (DDIs) vs. no DDI. AP users with ≥1 DDI had a 29% higher mortality risk compared to no DDI in the first 90 days of treatment (HR: 1.29 (95% CI: 1.00-1.67)). CONCLUSIONS Conventional APs had a higher risk of death than atypical APs among elderly persons with CCD. Having ≥1 DDI was associated with an increased risk of death.
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Affiliation(s)
- Janet Sultana
- a Department of Biomedical and Dental Sciences and Morphofunctional Imaging , University of Messina , Messina , Italy
| | - Francesco Giorgianni
- a Department of Biomedical and Dental Sciences and Morphofunctional Imaging , University of Messina , Messina , Italy
| | - Federico Rea
- b Laboratory of Pharmacoepidemiology & Healthcare Research , University of Milano-Bicocca , Milan , Italy
| | - Ersilia Lucenteforte
- c Department of Clinical and Experimental Medicine , University of Pisa , Pisa , Italy
| | - Niccolò Lombardi
- d Department of Neurosciences, Psychology, Pharmacology and Child Health (NEUROFARBA) , University of Florence , Florence , Italy
| | - Alessandro Mugelli
- d Department of Neurosciences, Psychology, Pharmacology and Child Health (NEUROFARBA) , University of Florence , Florence , Italy
| | - Alfredo Vannacci
- d Department of Neurosciences, Psychology, Pharmacology and Child Health (NEUROFARBA) , University of Florence , Florence , Italy
| | - Rosa Liperoti
- e Department of Geriatrics, University Hospital A. Gemelli IRCCS , Rome - Catholic University of the Sacred Heart , Rome , Italy
| | | | - Cristiana Vitale
- g Department of Medical Sciences , IRCCS San Raffaele Pisana , Rome , Italy
| | - Alessandro Chinellato
- h Unit of Pharmaceutical Policy and Budget Management , Healthcare Unit ULSS 9 of Treviso , Italy
| | | | - Giovanni Corrao
- b Laboratory of Pharmacoepidemiology & Healthcare Research , University of Milano-Bicocca , Milan , Italy
| | - Gianluca Trifirò
- a Department of Biomedical and Dental Sciences and Morphofunctional Imaging , University of Messina , Messina , Italy.,j i-GrADE consortium: Nera Agabiti, Claudia Bartolini, Roberto Bernabei, Alessandra Bettiol, Stefano Bonassi, Achille Patrizio Caputi, Silvia Cascini, Alessandro Chinellato, Francesco Cipriani, Giovanni Corrao, Marina Davoli, Massimo Fini, Rosa Gini, Francesco Giorgianni, Ursula Kirchmayer, Francesco Lapi, Niccolò Lombardi, Ersilia Lucenteforte, Alessandro Mugelli, Graziano Onder, Federico Rea, Giuseppe Roberto, Chiara Sorge, Janet Sultana, Michele Tari, Gianluca Trifirò, Alfredo Vannacci, Davide Liborio Vetrano, Cristiana Vitale
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14
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Noor S, Ismail M, Haider I, Khadim F. Drug-Drug Interactions in Hepatitis Patients: Do these Interactions Matter in Clinical Perspectives? Ann Hepatol 2018; 17:1001-1011. [PMID: 30600298 DOI: 10.5604/01.3001.0012.7200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND AIM Hepatitis patients usually present with comorbidities and polypharmacy which increases risk of potential drug-drug interactions (pDDIs). We explored frequency, levels, predictors, and clinical relevance of pDDIs in hospitalized hepatitis patients. MATERIAL AND METHODS Retrospective cohort study was used. Clinical profiles of 413 hepatitis patients were reviewed for pDDIs using Micromedex-DrugReax. Frequency, levels and clinical relevance of pDDIs were reported. Logistic regression analysis was used to calculate odds-ratios for predictors. RESULTS Of total 413 patients, pDDIs were reported in 55.2%. Major-pDDIs were found in 35% patients. Total 660 pDDIs were identified, of which, 304 (46%) were of major-severity and 299 (45%) of moderateseverity. Patient's profiles of top-10 major-pDDIs were presented with signs/symptoms such as fever, hepatomegaly, anorexia, jaundice, hypertension, tachycardia, bradycardia, & pedal edema; and abnormalities in labs such as electrolytes-level, alanine aminotransferase, blood urea nitrogen, bilirubin-level, & serum creatinine. Significant association was observed for the presence of pDDIs with > 9 prescribed medicines (p < 0.001), hospitalization of > 5 days (p = 0.03), and stroke as comorbidity (p = 0.05). Moreover, odds of exposure to major-pDDIs were significantly higher in patients taking > 9 prescribed medicines (p < 0.001), hospitalization of > 5 days (p = 0.002), and stroke as comorbidity (p = 0.002). CONCLUSION We observed hepatitis patients presented with a considerable number of clinically relevant pDDIs. Attention should be given to widespread major-pDDIs and their potential adverse outcomes. Clinically relevant parameters, such as labs and signs/symptoms should be monitored particularly in high risk patients having polypharmacy, prolong hospitalization, and stroke as comorbidity.
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Affiliation(s)
- Sidra Noor
- Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Mohammad Ismail
- Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Iqbal Haider
- Department of Medicine, Medical Teaching Institute, Khyber Teaching Hospital, Peshawar, Pakistan
| | - Faiza Khadim
- Department of Pharmacy, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
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15
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Kuscu F, Ulu A, Inal AS, Suntur BM, Aydemir H, Gul S, Ecemis K, Komur S, Kurtaran B, Ozkan Kuscu O, Tasova Y. Potential Drug-Drug Interactions with Antimicrobials in Hospitalized Patients: A Multicenter Point-Prevalence Study. Med Sci Monit 2018; 24:4240-4247. [PMID: 29924770 PMCID: PMC6040237 DOI: 10.12659/msm.908589] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background Improper use of antimicrobials can cause adverse drug events and high costs. The purpose of this study was to investigate the frequency and potential drug–drug interactions associated with antimicrobials among hospitalized patients. Material/Methods This study was conducted on the same day in 5 different hospitals in Turkey. We included patients aged ≥18 years who received at least 1 antimicrobial drug and at least 1 of any other drug. The Micromedex® online drug reference system was used to control and describe the interactions. Drug interactions were classified as contraindicated, major, moderate, and minor. Results Potential drug–drug interactions with antimicrobials were 26.4% of all interactions. Five (42%) of 12 contraindicated interactions and 61 (38%) of 159 major interactions were with antimicrobials. Quinolones, triazoles, metronidazole, linezolid, and clarithromycin accounted for 173 (25.7%) of 673 prescribed antimicrobials, but were responsible for 141 (92.1%) of 153 interactions. In multivariate analysis, number of prescribed antimicrobials (odds ratio: 2.3001, 95% CI: 1.6237–3.2582), number of prescribed drugs (odds ratio: 1.2008, 95% CI: 1.0943–1.3177), and hospitalization in the university hospital (odds ratio: 1.7798, 95% CI: 1.0035–3.1564) were independent risk factors for developing drug interactions. Conclusions Due to risk of drug interactions, physicians should be more cautious when prescribing antimicrobials, particularly when prescribing quinolones, linezolid, azoles, metronidazole, and macrolides.
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Affiliation(s)
- Ferit Kuscu
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Aslihan Ulu
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Ayse S Inal
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Bedia M Suntur
- Department of Infectious Diseases and Clinical Microbiology, Adana Numune Training and Research Hospital, Adana, Turkey
| | - Hande Aydemir
- Department of Infectious Diseases and Clinical Microbiology, Bulent Ecevit University Faculty of Medicine, Zonguldak, Turkey
| | - Serdar Gul
- Department of Infectious Diseases and Clinical Microbiology, Kırıkkale University Faculty of Medicine, Kirikkale, Turkey
| | - Kenan Ecemis
- Department of Infectious Diseases and Clinical Microbiology, Kahta State Hospital, Adiyaman, Turkey
| | - Suheyla Komur
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Behice Kurtaran
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Ozlem Ozkan Kuscu
- Intensive Care Unit, Cukurova University Faculty of Medicine, Adana, Turkey
| | - Yesim Tasova
- Department of Infectious Diseases and Clinical Microbiology, Cukurova University Faculty of Medicine, Adana, Turkey
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16
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Assiri GA, Shebl NA, Mahmoud MA, Aloudah N, Grant E, Aljadhey H, Sheikh A. What is the epidemiology of medication errors, error-related adverse events and risk factors for errors in adults managed in community care contexts? A systematic review of the international literature. BMJ Open 2018; 8:e019101. [PMID: 29730617 PMCID: PMC5942474 DOI: 10.1136/bmjopen-2017-019101] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 02/13/2018] [Accepted: 02/14/2018] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To investigate the epidemiology of medication errors and error-related adverse events in adults in primary care, ambulatory care and patients' homes. DESIGN Systematic review. DATA SOURCE Six international databases were searched for publications between 1 January 2006 and 31 December 2015. DATA EXTRACTION AND ANALYSIS Two researchers independently extracted data from eligible studies and assessed the quality of these using established instruments. Synthesis of data was informed by an appreciation of the medicines' management process and the conceptual framework from the International Classification for Patient Safety. RESULTS 60 studies met the inclusion criteria, of which 53 studies focused on medication errors, 3 on error-related adverse events and 4 on risk factors only. The prevalence of prescribing errors was reported in 46 studies: prevalence estimates ranged widely from 2% to 94%. Inappropriate prescribing was the most common type of error reported. Only one study reported the prevalence of monitoring errors, finding that incomplete therapeutic/safety laboratory-test monitoring occurred in 73% of patients. The incidence of preventable adverse drug events (ADEs) was estimated as 15/1000 person-years, the prevalence of drug-drug interaction-related adverse drug reactions as 7% and the prevalence of preventable ADE as 0.4%. A number of patient, healthcare professional and medication-related risk factors were identified, including the number of medications used by the patient, increased patient age, the number of comorbidities, use of anticoagulants, cases where more than one physician was involved in patients' care and care being provided by family physicians/general practitioners. CONCLUSION A very wide variation in the medication error and error-related adverse events rates is reported in the studies, this reflecting heterogeneity in the populations studied, study designs employed and outcomes evaluated. This review has identified important limitations and discrepancies in the methodologies used and gaps in the literature on the epidemiology and outcomes of medication errors in community settings.
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Affiliation(s)
- Ghadah Asaad Assiri
- Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- Department of Paediatrics, Faculty of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Nada Atef Shebl
- Department of Pharmacy, Pharmacology and Postgraduate Medicine, School of Life and Medical Sciences, University of Hertfordshire, Hertfordshire, UK
| | - Mansour Adam Mahmoud
- College of Pharmacy, Clinical Pharmacy Department, Taibah University, Madinah, Al Madinah, Saudi Arabia
| | - Nouf Aloudah
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Elizabeth Grant
- The Global Health Academy, Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK
| | | | - Aziz Sheikh
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
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17
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Shakeel F, Khan JA, Aamir M, Asim SM, Ullah I. A multicentered pharmacoepidemiological approach to evaluate clinically significant potential drug–drug interactions in medical intensive care settings in Pakistan. HONG KONG J EMERG ME 2018. [DOI: 10.1177/1024907918765510] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: Iatrogenic injuries due to drug–drug interactions are particularly significant in critical care units because of the severely compromised state of the patient. The risk further increases with the use of multiple drugs, increasing age, and stay of the patient. Objective: The aim was to assess potential drug–drug interactions, evaluate clinically significant potential drug–drug interactions and their predictors in medical intensive care units of tertiary hospitals in Pakistan. Methods: Analysis of patient data collected from medical intensive care units of tertiary hospitals in Pakistan were carried out using Micromedex DrugReax. Various statistical tools were applied to identify the significance of associated predictors. Results: In a total of 830 patients, prevalence of potential drug–drug interactions was found to be 39%. These attributed to 190 drug combinations, of which 15.4% were clinically significant. A significant association of potential drug–drug interactions was present with number of prescribed drugs, age, and gender. In terms of clinically significant potential drug–drug interactions, the association was significant with increasing age. Moreover, one-way analysis of variance revealed a significant difference in the means of potential drug–drug interactions among the four hospitals. Conclusion: A prevalence of 39% potential drug–drug interactions was observed in patients of medical intensive care unit, with 22.8% being clinically significant. These attributed to nine drug pairs and could easily be avoided to reduce the risk of adverse effects from potential drug–drug interactions.
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Affiliation(s)
- Faisal Shakeel
- Department of Pharmacy, Sarhad University of Science & Information Technology, Peshawar, Pakistan
| | | | - Muhammad Aamir
- Department of Pharmacy, University of Peshawar, Peshawar, Pakistan
| | | | - Irfan Ullah
- Department of Pharmacy, Sarhad University of Science & Information Technology, Peshawar, Pakistan
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18
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Castilho ECD, Reis AMM, Borges TL, Siqueira LDC, Miasso AI. Potential drug-drug interactions and polypharmacy in institutionalized elderly patients in a public hospital in Brazil. J Psychiatr Ment Health Nurs 2018; 25:3-13. [PMID: 28892271 DOI: 10.1111/jpm.12431] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2017] [Indexed: 11/29/2022]
Abstract
UNLABELLED WHAT IS KNOWN ON THE SUBJECT?: Older individuals constitute an increasing proportion of the population, and therefore, are the major consumers of drugs. The elderly, especially those with mental disabilities, frequently develop chronic diseases and start using numerous drugs. Drug-drug interactions (DDIs) are a major clinical problem in the elderly population, and previous studies have focused only on antidepressants and others types of drugs used to treat mental health conditions. WHAT THIS ARTICLE ADDS TO EXISTING KNOWLEDGE?: This study shows that in hospitalized elderly patients with mental disorders (aged 60-69 years), polypharmacy (≥5 drugs) and the use of drugs that act on the cardiovascular, respiratory and nervous systems can lead to potential drug-drug interactions. Moreover, it was reported that the prevalence of drug-drug interactions in elderly patients with mental disorders was high during their hospitalization in a public hospital in Brazil. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nurses should know the factors associated with drug-drug interactions in hospitalized elderly patients with mental disorders to choose appropriate strategies for avoiding treatment failure and adverse events in patients. ABSTRACT Introduction Despite the impact on patient safety and the fact that prevalence is higher in older patients, previous research did not analyse drug-drug interactions (DDIs) in view of nursing care of elderly psychiatric patients. Aim To identify potential drug-drug interactions and polypharmacy in prescriptions of aged inpatients with psychiatric disorders and analyse associated factors. Methods In this retrospective cross-sectional study, we analysed the medical records of institutionalized patients diagnosed with psychiatric disorders (n = 94), aged >60 years, and prescribed multiple medications. Drug prescriptions were checked at admission, midway through and the last prescription. Factors associated with DDI occurrence were assessed using multivariable logistic regression analysis. Results A DDI prevalence potential of 67.0%, 74.5% and 80.8% occurred in patients at admission, midway through hospitalization and the last prescription, respectively. Most of the prescribed drugs were nervous system agents. A high percentage of serious and contraindicated potential DDIs occurred. Age between 60 and 69 years, use of cardiovascular and respiratory system drugs, and the number of medications contributed significantly to DDI. Implications for mental health nursing Knowledge on the factors associated with DDIs in patients with mental disorders can contribute to the improvement of effectiveness and safety of nursing care.
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Affiliation(s)
- E C D Castilho
- Psychiatric Nursing and Human Sciences Department, Ribeirao Preto Nursing School of the University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - A M M Reis
- Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - T L Borges
- Psychiatric Nursing and Human Sciences Department, Ribeirao Preto Nursing School of the University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - L D C Siqueira
- Grande Dourados University Hospital, Dourados, MS, Brazil
| | - A I Miasso
- Psychiatric Nursing and Human Sciences Department, Ribeirao Preto Nursing School of the University of Sao Paulo, Ribeirao Preto, SP, Brazil
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Assessment of Drug-Drug Interaction in Ayder Comprehensive Specialized Hospital, Mekelle, Northern Ethiopia: A Retrospective Study. BIOMED RESEARCH INTERNATIONAL 2017; 2017:9792363. [PMID: 29250554 PMCID: PMC5698828 DOI: 10.1155/2017/9792363] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/25/2017] [Accepted: 10/03/2017] [Indexed: 11/25/2022]
Abstract
Introduction Adverse drug interaction is a major cause of morbidity and mortality. Its occurrence is influenced by a multitude of factors. The influences of drug-drug interactions (DDIs) can be minimized through creation of awareness to health care professionals. Objective The objective of this study was to assess DDIs in Ayder Comprehensive Specialized Hospital (ACSH). Methodology A retrospective study design was employed on patient prescriptions available in the outpatient department of pharmacy and filled from September 2016 to February 2017 in ACSH. Result From the 600 prescription records assessed, the average number of drugs on single prescription was 2.73. Regarding the interaction observed 34 (9.63%) prescriptions with major drug-drug interaction, 210 (59.5%) moderate, 87 (24.65%) minor, and 22 (6.22%) unknown were identified. Age category showed significant association to affect the occurrence of DDIs and polypharmacy had statistically significant association with DDIs in bivariate analysis which was lost in adjusted OR. Conclusion From the current study it can be concluded that nearly half of the prescription ordered in ACSH contained DDIs and from the prescription with interacting medications majority of them had moderate DDIs.
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Vinciguerra V, Fantozzi R, Cena C, Fruttero R, Rolle C. A cooperation project between hospital pharmacists and general practitioners about drug interactions in clinical practice. Eur J Hosp Pharm 2017; 25:301-309. [PMID: 31157047 DOI: 10.1136/ejhpharm-2017-001253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Revised: 05/29/2017] [Accepted: 05/30/2017] [Indexed: 11/03/2022] Open
Abstract
Objectives (1) To evaluate drug-drug interactions (DDIs) in general practitioners' (GPs) prescriptions; (2) to implement a cooperation project between pharmacists and GPs to improve DDI management and patient care. Methods In 2013, pharmacists from the Community Drug Assistance ASL TO1 launched a cooperation project involving 48 GPs. As a first step, GPs were asked to select, from a list, drug associations for which they recommended analysis of occurrence in their prescriptions. The pharmacists (1) analysed GPs' prescriptions dated 2012-2014, according to the list of DDIs selected (n= 9); (2) evaluated solutions for DDI management, using the Micromedex DDI checker database and literature analysis; they then (3) disseminated DDI-related information to GPs through training meetings and (4) assessed the efficacy of these actions through a questionnaire submitted to the GPs in 2013. Results (1) Prescriptions analysis: a reduction in the number of DDIs was observed (-14% in 2013 vs 2012, -9% in 2014 vs 2012); in some cases these reductions were statistically significant (calcium carbonate + proton pump inhibitors (PPIs) -50%, p<0.0041, amoxicillin+lansoprazole -42%, p<0.0088). (2) Questionnaire: this was completed by 75% of GPs. The literature analysis was considered interesting by 94% of GPs; solutions were adopted by 89% of GPs and 34% of GPs affirmed that clinical improvements after application of the measures were observed in their patients, even if they could not provide quantitative data for this outcome. Conclusion The cooperation project between pharmacists and GPs was effective because it established a professional exchange between the two health professionals. The pharmacist gave support to GPs, which benefited the patients, who gained clinical improvements and improved satisfaction with their medical care, as declared by the GPs in answers to the questionnaire.
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Affiliation(s)
| | - Roberto Fantozzi
- Department of Science and Technology, University of Turin, Turin, Italy
| | - Clara Cena
- Department of Science and Technology, University of Turin, Turin, Italy
| | - Roberta Fruttero
- Department of Science and Technology, University of Turin, Turin, Italy
| | - Carla Rolle
- Community Drug Assistance, SC Drugs and Devices, Turin, Italy
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Jazbar J, Locatelli I, Horvat N, Kos M. Clinically relevant potential drug-drug interactions among outpatients: A nationwide database study. Res Social Adm Pharm 2017; 14:572-580. [PMID: 28716467 DOI: 10.1016/j.sapharm.2017.07.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 06/06/2017] [Accepted: 07/10/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND Adverse drug events due to drug-drug interactions (DDIs) represent a considerable public health burden, also in Slovenia. A better understanding of the most frequently occurring potential DDIs may enable safer pharmacotherapy and minimize drug-related problems. OBJECTIVES The aim of this study was to evaluate the prevalence and predictors of potential DDIs among outpatients in Slovenia. METHODS An analysis of potential DDIs was performed using health claims data on prescription drugs from a nationwide database. The Lexi-Interact Module was used as the reference source of interactions. The influence of patient-specific predictors on the risk of potential clinically relevant DDIs was evaluated using logistic regression model. RESULTS The study population included 1,179,803 outpatients who received 15,811,979 prescriptions. The total number of potential DDI cases identified was 3,974,994, of which 15.6% were potentially clinically relevant. Altogether, 9.3% (N = 191,213) of the total population in Slovenia is exposed to clinically relevant potential DDIs, and the proportion is higher among women and the elderly. After adjustment for cofactors, higher number of medications and older age are associated with higher odds of clinically relevant potential DDIs. The burden of DDIs is highest with drug combinations that increase risk of bleeding, enhance CNS depression or anticholinergic effects or cause cardiovascular complications. CONCLUSION The current study revealed that 1 in 10 individuals in the total Slovenian population is exposed to clinically relevant potential DDIs yearly. Taking into account the literature based conservative estimate that approximately 1% of potential DDIs result in negative health outcomes, roughly 1800 individuals in Slovenia experience an adverse health outcome each year as a result of clinically relevant potential interactions alone.
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Affiliation(s)
- Janja Jazbar
- Chair of Social Pharmacy, University of Ljubljana, Faculty of Pharmacy, Ljubljana, Slovenia
| | - Igor Locatelli
- Chair of Social Pharmacy, University of Ljubljana, Faculty of Pharmacy, Ljubljana, Slovenia
| | - Nejc Horvat
- Chair of Social Pharmacy, University of Ljubljana, Faculty of Pharmacy, Ljubljana, Slovenia
| | - Mitja Kos
- Chair of Social Pharmacy, University of Ljubljana, Faculty of Pharmacy, Ljubljana, Slovenia.
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Clinical Outcomes of Concomitant Use of Warfarin and Selective Serotonin Reuptake Inhibitors: A Multidatabase Observational Cohort Study. J Clin Psychopharmacol 2017; 37:200-209. [PMID: 28129313 DOI: 10.1097/jcp.0000000000000658] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Patients treated with warfarin are often coprescribed selective serotonin reuptake inhibitors (SSRIs) for coexisting depression. Some SSRIs are potent CYP2C9 inhibitors that may increase warfarin plasma concentrations and the risk of bleeding. We aimed to examine the effect of the putative CYP2C9-mediated warfarin-SSRI interaction on clinical outcomes. METHODS We conducted an observational cohort study among warfarin initiators who had a subsequent SSRI prescription in 5 US claims databases. Patients were followed for up to 180 days as long as they were exposed to both warfarin and their index SSRI groups. Cox regression models were used to estimate hazard ratios and 95% confidence intervals for bleeding events, ischemic or thromboembolic events, and mortality comparing patients treated with SSRIs that are potent CYP2C9 inhibitors (fluoxetine, fluvoxamine) with those treated with other SSRIs after propensity score matching. FINDINGS The eligible cohort comprised 52,129 patients. Hazard ratios were 1.14 (95% confidence interval [CI], 0.94-1.38) for bleeding events, 1.03 (95% CI, 0.87-1.21) for ischemic or thromboembolic events, and 0.90 (95% CI, 0.72-1.14) for mortality. Results were consistent across individual component outcomes, different warfarin stabilization periods, and subgroup analyses. CONCLUSIONS Patients concomitantly treated with warfarin and SSRIs that are potent CYP2C9 inhibitors had comparable rates of bleeding events, ischemic or thromboembolic events, and mortality as did patients cotreated with warfarin and other SSRIs, although small but potentially meaningful effects on bleeding cannot be completely excluded. SSRI inhibition of CYP2C9 does not appear to affect major safety or effectiveness outcomes of warfarin treatment in clinical practice, where patients may be closely monitored.
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Prevalence of drug interactions in elderly patients with multimorbidity in primary care. Int J Clin Pharm 2017; 39:343-353. [DOI: 10.1007/s11096-017-0439-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 02/10/2017] [Indexed: 01/29/2023]
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Oshikoya KA, Oreagba IA, Godman B, Oguntayo FS, Fadare J, Orubu S, Massele A, Senbanjo IO. Potential drug-drug interactions in paediatric outpatient prescriptions in Nigeria and implications for the future. Expert Rev Clin Pharmacol 2016; 9:1505-1515. [PMID: 27592636 DOI: 10.1080/17512433.2016.1232619] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Information regarding the incidence of drug-drug interactions (DDIs) and adverse drug events (ADEs) among paediatric patients in Nigeria is limited. METHODS Prospective clinical audit among paediatric outpatients in four general hospitals in Nigeria over a 3-month period. Details of ADEs documented in case files was extracted. RESULTS Among 1233 eligible patients, 208 (16.9%) received prescriptions with at least one potential DDI. Seven drug classes were implicated with antimalarial combination therapies predominating. Exposure mostly to a single potential DDI, commonly involved promethazine, artemether/lumefantrine, ciprofloxacin and artemether/lumefantrine. Exposure mostly to major and serious, and moderate and clinically significant, potential DDIs. Overall exposure similar across all age groups and across genders. A significant association was seen between severity of potential DDIs and age. Only 48 (23.1%) of these patients presented at follow-up clinics with only 15 reporting ADEs. CONCLUSION There was exposure to potential DDIs in this population. However, potential DDIs were associated with only a few reported ADEs.
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Affiliation(s)
- Kazeem Adeola Oshikoya
- a Pharmacology Department , Lagos State University College of Medicine , Ikeja , Nigeria
| | - Ibrahim Adekunle Oreagba
- b Pharmacology, Therapeutic and Toxicology Department , College of Medicine, University of Lagos , Idiaraba , Nigeria
| | - Brian Godman
- c Division of Clinical Pharmacology , Karolinska Institute , Stockholm , Sweden.,d Strathclyde Institute of Pharmacy and Biomedical Sciences , University of Strathclyde , Glasgow , United Kingdom
| | - Fisayo Solomon Oguntayo
- b Pharmacology, Therapeutic and Toxicology Department , College of Medicine, University of Lagos , Idiaraba , Nigeria
| | - Joseph Fadare
- e Department of Pharmacology , Ekiti State University , Ado-Ekiti , Nigeria
| | - Samuel Orubu
- f Faculty of Pharmacy , Niger Delta University , Wilberforce Island , Nigeria
| | - Amos Massele
- g Department of Clinical Pharmacology , School of Medicine, University of Botswana , Gaborone , Botswana
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Abstract. Drug Metab Rev 2016. [DOI: 10.1080/03602532.2016.1191843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Shaik AN, Bohnert T, Williams DA, Gan LL, LeDuc BW. Mechanism of Drug-Drug Interactions Between Warfarin and Statins. J Pharm Sci 2016; 105:1976-1986. [PMID: 27103011 DOI: 10.1016/j.xphs.2016.03.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 03/09/2016] [Accepted: 03/10/2016] [Indexed: 11/25/2022]
Abstract
The anticoagulant drug warfarin and the lipid-lowering statin drugs are commonly co-administered to patients with cardiovascular diseases. Clinically significant drug-drug interactions (DDIs) between these drugs have been recognized through case studies for many years, but the biochemical mechanisms causing these interactions have not been explained fully. Previous theories include kinetic alterations in cytochrome P-450-mediated drug metabolism or disturbances of drug-protein binding, leading to anticoagulant activity of warfarin; however, neither the enantioselective effects on warfarin metabolism nor the potential disruption of drug transporter function have been well investigated. This study investigated the etiology of the DDIs between warfarin and statins. Liquid chromatography-mass spectrometry methods were developed and validated to quantify racemic warfarin, 6 of its hydroxylated metabolites, and pure enantiomers of warfarin; these methods were applied to study the role of different absorption, distribution, metabolism, and excretion properties, leading to DDIs. Plasma protein binding displacement of warfarin was performed in the presence of statins using equilibrium dialysis method. Substrate kinetics of warfarin and pure enantiomers were performed with human liver microsomes to determine the kinetic parameters (Km and Vmax) for the formation of all 6 hydroxywarfarin metabolites, inhibition of warfarin metabolism in the presence of statins, was determined. Uptake transport studies of warfarin were performed using overexpressing HEK cell lines and efflux transport using human adenocarcinoma colonic cell line cells. Fluvastatin significantly displaced plasma protein binding of warfarin and pure enantiomers; no other statin resulted in significant displacement of warfarin. All the statins that inhibited the formation of 10-hydroxywarfarin, atorvastatin, pitavastatin, and simvastatin were highly potent compared to other statins; in contrast, only fluvastatin was found to be a potent inhibitor of formation of 7-hydroxy warfarin. Uptake and efflux drug transporters do not play any role in these DDIs. The results showed that DDIs between warfarin and statins are primarily caused by cytochrome P-450 inhibition.
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Affiliation(s)
- Abdul Naveed Shaik
- Department of Pharmaceutical Sciences, MCPHS University, 179 Longwood Avenue, Boston, Massachusetts 02115; Department of Drug Metabolism and Pharmacokinetics, Biogen, 14 Cambridge Center, Cambridge, Massachusetts 02140.
| | - Tonika Bohnert
- Department of Drug Metabolism and Pharmacokinetics, Biogen, 14 Cambridge Center, Cambridge, Massachusetts 02140
| | - David A Williams
- Department of Pharmaceutical Sciences, MCPHS University, 179 Longwood Avenue, Boston, Massachusetts 02115
| | - Lawrence L Gan
- Development Center for Biotechnology, Taipei 221, Taiwan
| | - Barbara W LeDuc
- Department of Pharmaceutical Sciences, MCPHS University, 179 Longwood Avenue, Boston, Massachusetts 02115
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Murtaza G, Khan MYG, Azhar S, Khan SA, Khan TM. Assessment of potential drug-drug interactions and its associated factors in the hospitalized cardiac patients. Saudi Pharm J 2016; 24:220-5. [PMID: 27013915 PMCID: PMC4792893 DOI: 10.1016/j.jsps.2015.03.009] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 03/13/2015] [Indexed: 11/25/2022] Open
Abstract
Drug-drug interactions (DDIs) may result in the alteration of therapeutic response. Sometimes they may increase the untoward effects of many drugs. Hospitalized cardiac patients need more attention regarding drug-drug interactions due to complexity of their disease and therapeutic regimen. This research was performed to find out types, prevalence and association between various predictors of potential drug-drug interactions (pDDIs) in the Department of Cardiology and to report common interactions. This study was performed in the hospitalized cardiac patients at Ayub Teaching Hospital, Abbottabad, Pakistan. Patient charts of 2342 patients were assessed for pDDIs using Micromedex® Drug Information. Logistic regression was applied to find predictors of pDDIs. The main outcome measure in the study was the association of the potential drug-drug interactions with various factors such as age, gender, polypharmacy, and hospital stay of the patients. We identified 53 interacting-combinations that were present in total 5109 pDDIs with median number of 02 pDDIs per patient. Overall, 91.6% patients had at least one pDDI; 86.3% were having at least one major pDDI, and 84.5% patients had at least one moderate pDDI. Among 5109 identified pDDIs, most were of moderate (55%) or major severity (45%); established (24.2%), theoretical (18.8%) or probable (57%) type of scientific evidence. Top 10 common pDDIs included 3 major and 7 moderate interactions. Results obtained by multivariate logistic regression revealed a significant association of the occurrence of pDDIs in patient with age of 60 years or more (p < 0.001), hospital stay of 7 days or longer (p < 0.001) and taking 7 or more drugs (p < 0.001). We found a high prevalence for pDDIs in the Department of Cardiology, most of which were of moderate severity. Older patients, patients with longer hospital stay and with elevated number of prescribed drugs were at higher risk of pDDIs.
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Affiliation(s)
- Ghulam Murtaza
- Department of Pharmacy, COMSATS Institute of Information and Technology, Abbottabad 22060, Pakistan
| | | | - Saira Azhar
- Department of Pharmacy, COMSATS Institute of Information and Technology, Abbottabad 22060, Pakistan
| | - Shujaat Ali Khan
- Department of Pharmacy, COMSATS Institute of Information and Technology, Abbottabad 22060, Pakistan
| | - Tahir M Khan
- School of Pharmaceutical Science, Monash University, Sunway Campus, 45700 Selangor, Malaysia
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Raschi E, Piccinni C, Signoretta V, Lionello L, Bonezzi S, Delfino M, Di Candia L, Di Castri L, Pieraccini F, Carati D, Poluzzi E, De Ponti F. Clinically important drug-drug interactions in poly-treated elderly outpatients: a campaign to improve appropriateness in general practice. Br J Clin Pharmacol 2015; 80:1411-20. [PMID: 26303150 DOI: 10.1111/bcp.12754] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 07/28/2015] [Accepted: 08/23/2015] [Indexed: 12/20/2022] Open
Abstract
AIMS The aim was to assess the impact of a campaign for general practitioners (GPs) to reduce clinically-important drug-drug interactions (DDIs) in poly-treated elderly patients. METHODS We compiled a list of 53 DDIs and analyzed reimbursed prescriptions dispensed to poly-treated (≥four drugs) elderly (>65 years) patients in the Emilia Romagna region during January 2011-June 2011 (first pre-intervention period), January 2012-June 2012 (second pre-intervention period) and January 2013-June 2013 (post-intervention period). Educational initiatives to GPs were completed in July 2012-December 2012. Pre-test/post-test analysis (2013 vs. 2012) was performed, also using predicted 2013 data (P < 0.01 for statistical significance). RESULTS Despite the slight increase in poly-therapy rate (16% in 2013, +1.5% from 2011), we found a stable or slightly declining number of potential DDIs for each elderly poly-treated patient (~1.5). In 2013, 11 DDIs exceeded 5% of prevalence rate: antidiabetics-β-adrenoceptor blockers ranked first (20.3%), followed by ACE Inhibitors (ACEIs)/sartans-non steroidal anti-inflammatory drugs (NSAIDs) (16.4%), diuretics-NSAIDs (13.6%), selective serotonin re-uptake inhibitors (SSRIs)-NSAIDs/acetyl salicylic acid (ASA) (12.7%) and corticosteroids-NSAIDs/ASA (9.7%). A remarkable reduction emerged for NSAID-related DDIs (diuretics-NSAIDs peaked -14.5%; P < 0.01), whereas prevalence of antidiabetics-β-adrenoceptor blockers increased (+7.9%; P < 0.01). When using predicted values, the statistical significance disappeared for antidiabetics-β-adrenoceptor blockers (+1.3%; P = 0.04), whereas it persisted for almost all NSAIDs-related DDIs: ACEIs/sartans-NSAIDs (-3.0%), diuretics-NSAIDs (-6.0%), SSRIs-NSAIDs/ASA (-5.9%). CONCLUSIONS This campaign contained the burden of DDIs in poly-treated elderly patients by 1) reducing most prevalent DDIs, especially NSAIDs-related DDIs and 2) balancing the observed rise in poly-therapy rate with stable rate in overall prescriptions of potentially interacting drugs per patient.
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Affiliation(s)
- Emanuel Raschi
- Department of Medical and Surgical Sciences - Pharmacology Unit, University of Bologna, Bologna
| | - Carlo Piccinni
- Department of Medical and Surgical Sciences - Pharmacology Unit, University of Bologna, Bologna
| | | | | | | | | | | | | | | | - Daniela Carati
- Drug Policy Service, Emilia Romagna Region Health Authority, Bologna, Italy
| | - Elisabetta Poluzzi
- Department of Medical and Surgical Sciences - Pharmacology Unit, University of Bologna, Bologna
| | - Fabrizio De Ponti
- Department of Medical and Surgical Sciences - Pharmacology Unit, University of Bologna, Bologna
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Prevalence and clinical significance of potential drug-drug interactions in diabetic patients attended in a tertiary care outpatient center, Brazil. Int J Diabetes Dev Ctries 2015. [DOI: 10.1007/s13410-015-0428-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Measuring drug exposure: concordance between defined daily dose and days' supply depended on drug class. J Clin Epidemiol 2015; 69:107-13. [PMID: 26146090 DOI: 10.1016/j.jclinepi.2015.05.026] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 05/07/2015] [Accepted: 05/29/2015] [Indexed: 11/21/2022]
Abstract
OBJECTIVES To determine the concordance between two methods to measure drug exposure duration from pharmacy claim data. STUDY DESIGN AND SETTING We conducted a cohort study using 2002-2007 US Medicaid data. Initiators of eight drug groups were identified: statins, metformin, atypical antipsychotics, warfarin, proton pump inhibitors (PPIs), angiotensin-converting enzyme (ACE) inhibitors, nonsteroidal anti-inflammatory drugs (ns-NSAIDs), and coxibs. For each patient, we calculated two measures of exposure duration using (1) observed days' supply available in US pharmacy claims and (2) the World Health Organisation's Defined Daily Dose (DDD) methodology. We used Wilcoxon signed rank tests to compare medians and Spearman correlations to assess correlation between the two measures. RESULTS Cohort sizes ranged from 143,885 warfarin users to >3,000,000 ns-NSAID users. Similar median exposure durations were observed for ACE inhibitors (70 days vs.75 days), PPIs (44 days vs. 45 days), and coxibs (44 days vs. 45 days). The DDD method overestimated exposure duration for ns-NSAIDs and underestimated for the remaining drug groups, relative to days' supply. Spearman correlation coefficients ranged from 0.2 to 0.8. CONCLUSION Using DDDs to estimate drug exposure duration can result in misclassification. The magnitude of this misclassification might depend on doses used which can vary according to factors such as local prescribing practices, renal function, and age.
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Analgesic use before and after oral anticoagulant initiation—a population-based study in Finland. Eur J Clin Pharmacol 2015; 71:723-732. [DOI: 10.1007/s00228-015-1836-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 03/17/2015] [Indexed: 01/02/2023]
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Louis DZ, Robeson M, McAna J, Maio V, Keith SW, Liu M, Gonnella JS, Grilli R. Predicting risk of hospitalisation or death: a retrospective population-based analysis. BMJ Open 2014; 4:e005223. [PMID: 25231488 PMCID: PMC4166245 DOI: 10.1136/bmjopen-2014-005223] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Revised: 08/30/2014] [Accepted: 09/03/2014] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Develop predictive models using an administrative healthcare database that provide information for Patient-Centred Medical Homes to proactively identify patients at risk of hospitalisation for conditions that may be impacted through improved patient care. DESIGN Retrospective healthcare utilisation analysis with multivariate logistic regression models. DATA A population-based longitudinal database of residents served by the Emilia-Romagna, Italy, health service in the years 2004-2012 including demographic information and utilisation of health services by 3,726,380 people aged ≥18 years. OUTCOME MEASURES Models designed to predict risk of hospitalisation or death in 2012 for problems that are potentially avoidable were developed and evaluated using the area under the receiver operating curve C-statistic, in terms of their sensitivity, specificity and positive predictive value, and for calibration to assess performance across levels of predicted risk. RESULTS Among the 3,726,380 adult residents of Emilia-Romagna at the end of 2011, 449,163 (12.1%) were hospitalised in 2012; 4.2% were hospitalised for the selected conditions or died in 2012 (3.6% hospitalised, 1.3% died). The C-statistic for predicting 2012 outcomes was 0.856. The model was well calibrated across categories of predicted risk. For those patients in the highest predicted risk decile group, the average predicted risk was 23.9% and the actual prevalence of hospitalisation or death was 24.2%. CONCLUSIONS We have developed a population-based model using a longitudinal administrative database that identifies the risk of hospitalisation for residents of the Emilia-Romagna region with a level of performance as high as, or higher than, similar models. The results of this model, along with profiles of patients identified as high risk are being provided to the physicians and other healthcare professionals associated with the Patient Centred Medical Homes to aid in planning for care management and interventions that may reduce their patients' likelihood of a preventable, high-cost hospitalisation.
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Affiliation(s)
- Daniel Z Louis
- Center for Research in Medical Education and Health Care, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mary Robeson
- Center for Research in Medical Education and Health Care, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - John McAna
- Jefferson School of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Vittorio Maio
- Jefferson School of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Scott W Keith
- Department of Pharmacology & Experimental Therapeutics, Division of Biostatistics, Thomas Jefferson University,Philadelphia, Pennsylvania, USA
| | - Mengdan Liu
- Center for Research in Medical Education and Health Care, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joseph S Gonnella
- Center for Research in Medical Education and Health Care, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Roberto Grilli
- Agenzia Sanitaria e Sociale Regione Emilia-Romagna, Bologna, Viale Aldo Moro, Italy
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Olaniyan JO, Ghaleb M, Dhillon S, Robinson P. Safety of medication use in primary care. INTERNATIONAL JOURNAL OF PHARMACY PRACTICE 2014; 23:3-20. [PMID: 24954018 DOI: 10.1111/ijpp.12120] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Accepted: 04/09/2014] [Indexed: 11/27/2022]
Abstract
BACKGROUND Medication errors are one of the leading causes of harmin health care. Review and analysis of errors have often emphasized their preventable nature and potential for reoccurrence. Of the few error studies conducted in primary care to date, most have focused on evaluating individual parts of the medicines management system. Studying individual parts of the system does not provide a complete perspective and may further weaken the evidence and undermine interventions. AIM AND OBJECTIVES The aim of this review is to estimate the scale of medication errors as a problem across the medicines management system in primary care. Objectives were: To review studies addressing the rates of medication errors, and To identify studies on interventions to prevent medication errors in primary care. METHODS A systematic search of the literature was performed in PubMed (MEDLINE), International Pharmaceutical Abstracts (IPA), Embase, PsycINFO, PASCAL, Science Direct, Scopus, Web of Knowledge, and CINAHL PLUS from 1999 to November, 2012. Bibliographies of relevant publications were searched for additional studies. KEY FINDINGS Thirty-three studies estimating the incidence of medication errors and thirty-six studies evaluating the impact of error-prevention interventions in primary care were reviewed. This review demonstrated that medication errors are common, with error rates between <1% and >90%, depending on the part of the system studied, and the definitions and methods used. The prescribing stage is the most susceptible, and that the elderly (over 65 years), and children (under 18 years) are more likely to experience significant errors. Individual interventions demonstrated marginal improvements in medication safety when implemented on their own. CONCLUSION Targeting the more susceptible population groups and the most dangerous aspects of the system may be a more effective approach to error management and prevention. Co-implementation of existing interventions at points within the system may offer time- and cost-effective options to improving medication safety in primary care.
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Affiliation(s)
- Janice O Olaniyan
- Department of Pharmacy, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, Hertfordshire, UK
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Lindh JD, Andersson ML, Mannheimer B. Adherence to guidelines for avoiding drug interactions associated with warfarin--a Nationwide Swedish Register Study. PLoS One 2014; 9:e97388. [PMID: 24830709 PMCID: PMC4022627 DOI: 10.1371/journal.pone.0097388] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Accepted: 04/17/2014] [Indexed: 11/18/2022] Open
Abstract
PURPOSE To investigate the extent to which clinicians avoid well-established drug-drug interactions associated with warfarin. We hypothesised that clinicians would avoid combining non-steroidal anti-inflammatory drugs (NSAIDs), tramadol and sulfamethoxazole with warfarin. METHODS A cross-sectional analysis of nationwide dispensing data was performed in Swedish individuals 18 years or older (n = 7,563,649). Odds ratios of interacting NSAIDs, tramadol and sulfamethoxazole versus respective prevalence of comparator drugs codeine, and ciprofloxacin in patients co-dispensed interacting warfarin versus patients unexposed was calculated. RESULTS The odds of receiving an interacting NSAID versus the comparator codeine was markedly lower in patients with warfarin than in the remaining population (adjusted OR 0.21; 95% CI 0.20 - 0.22). Also, the interacting drugs tramadol and sulfamethoxazole were less common among patients dispensed warfarin as compared to the remaining population, although the decrease was much more modest (adjusted OR 0.83; CI 0.80-0.87 and 0.81; CI 0.73 - 0.90). CONCLUSIONS In conclusion, Swedish doctors in the vast majority of cases refrain from prescribing NSAIDs to patients already on warfarin. Tramadol and sulfamethoxazole are however rarely avoided.
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Affiliation(s)
- Jonatan D. Lindh
- Dept of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska University Hospital, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Marine L. Andersson
- Dept of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska University Hospital, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Buster Mannheimer
- Karolinska Institutet, Department of Clinical Science and Education at Södersjukhuset, Stockholm, Sweden
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Abstract
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Tragni E, Casula M, Pieri V, Favato G, Marcobelli A, Trotta MG, Catapano AL. Prevalence of the prescription of potentially interacting drugs. PLoS One 2013; 8:e78827. [PMID: 24147143 PMCID: PMC3795676 DOI: 10.1371/journal.pone.0078827] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Accepted: 09/16/2013] [Indexed: 12/02/2022] Open
Abstract
The use of multiple medications is becoming more common, with a correspondingly increased risk of untoward effects and drug-related morbidity and mortality. We aimed at estimating the prevalence of prescription of relevant potentially interacting drugs and at evaluating possible predictors of potentially interacting drug exposure. We retrospectively analyzed data on prescriptions dispensed from January 2004 to August 2005 to individuals of two Italian regions with a population of almost 2.1 million individuals. We identified 27 pairs of potentially interacting drugs by examining clinical relevance, documentation, and volume of use in Italy. Subjects who received at least one prescription of both drugs were selected. Co-prescribing denotes “two prescriptions in the same day”, and concomitant medication “the prescription of two drugs with overlapping coverage”. A logistic regression analysis was conducted to examine the predictors of potential Drug-Drug Interaction (pDDIs). 957,553 subjects (45.3% of study population) were exposed to at least one of the drugs/classes of the 27 pairs. Overall, pDDIs occurred 2,465,819 times. The highest rates of concomitant prescription and of co-prescription were for ACE inhibitors+NSAIDs (6,253 and 4,621/100,000 plan participants). Considering concomitance, the male/female ratio was <1 in 17/27 pairs (from 0.31 for NSAIDs-ASA+SSRI to 0.74 for omeprazole+clopidogrel). The mean age was lowest for methotrexate pairs (+omeprazole, 59.9 years; +NSAIDs-ASA, 59.1 years) and highest for digoxin+verapamil (75.4 years). In 13/27 pairs, the mean ages were ≥70 years. On average, subjects involved in pDDIs received ≥10 drugs. The odds of exposure were more frequently higher for age ≥65 years, males, and those taking a large number of drugs. A substantial number of clinically important pDDIs were observed, particularly among warfarin users. Awareness of the most prevalent pDDIs could help practitioners in preventing concomitant use, resulting in a better quality of drug prescription and potentially avoiding unwanted side effects.
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Affiliation(s)
- Elena Tragni
- Epidemiology and Preventive Pharmacology Centre (SEFAP), University of Milan, Italy
- * E-mail:
| | - Manuela Casula
- Epidemiology and Preventive Pharmacology Centre (SEFAP), University of Milan, Italy
| | - Vasco Pieri
- Epidemiology and Preventive Pharmacology Centre (SEFAP), University of Milan, Italy
| | - Giampiero Favato
- Epidemiology and Preventive Pharmacology Centre (SEFAP), University of Milan, Italy
- Institute of Leadership and Management in Health, Kingston University, Kingston Hill, Kingston upon Thames, Surrey, United Kingdom
| | | | - Maria Giovanna Trotta
- General and Hospital Practice and Drug Policies, Regional Health Unit, Basilicata, Italy
| | - Alberico Luigi Catapano
- Epidemiology and Preventive Pharmacology Centre (SEFAP), University of Milan, Italy
- IRCCS Multimedica, Sesto San Giovanni, Milan, Italy
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Sikirica S, Marino M, Gagne JJ, De Palma R, Maio V. Risk of death associated with the use of conventional vs. atypical antipsychotic medications: evaluating the use of the Emilia-Romagna Region database for pharmacoepidemiological studies. J Clin Pharm Ther 2013; 39:38-44. [PMID: 24102411 DOI: 10.1111/jcpt.12099] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2013] [Accepted: 08/19/2013] [Indexed: 01/05/2023]
Abstract
WHAT IS KNOWN AND OBJECTIVE Since 2005, a mounting base of evidence has identified that conventional antipsychotic medications are associated with an increased risk of mortality among elderly patients when compared to atypical antipsychotics. This study sought to explore the feasibility of using the Emilia-Romagna Region (RER) database for comparative safety analyses by replicating and refining risk estimates of this well-known drug safety example through meta-analysis. METHODS We identified a cohort of 23 681 Italian RER patients (aged ≥65) who initiated treatment with a conventional or atypical antipsychotic between 1 July 2009 and 30 June 2011. We compared 180-day mortality using Cox proportional hazards models adjusted for risk factors for death, use of other medications and measures of health services utilization intensity, all measured before antipsychotic initiation. We conducted a meta-analysis of studies with similar methods against which to compare our results. RESULTS Among 14 462 and 9219 patients prescribed conventional and atypical antipsychotics, respectively, we observed 2402 (16·6%) and 821 (8·9%) deaths during follow-up. Conventional antipsychotic initiators were older and generally had higher prevalence of outcome risk factors and higher baseline health service use intensity. The crude hazard ratio (HR) was 1·95 [95% confidence interval (CI), 1·80-2·11], which decreased to 1·47 (95% CI, 1·35-1·60) after full adjustment. We identified seven published studies that examined this association using similar methods. The pooled HR from these studies was 1·34 (95% CI, 1·28-1·39). Including our study, the meta-analysis yielded a summary estimate of 1·35 (95% CI, 1·31-1·40) and did not introduce any heterogeneity (I(2) = 0%; P = 0·455). WHAT IS NEW AND CONCLUSIONS Our results support the use of the RER database for pharmacoepidemiological studies and provide an up-to-date and pooled estimate of the magnitude of the association between mortality and conventional vs. atypical antipsychotics.
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Affiliation(s)
- S Sikirica
- School of Population Health, Thomas Jefferson University, Philadelphia, PA, USA
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Pasina L, Djade CD, Nobili A, Tettamanti M, Franchi C, Salerno F, Corrao S, Marengoni A, Iorio A, Marcucci M, Mannucci P. Drug-drug interactions in a cohort of hospitalized elderly patients. Pharmacoepidemiol Drug Saf 2013; 22:1054-60. [PMID: 24038765 DOI: 10.1002/pds.3510] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Revised: 07/26/2013] [Accepted: 07/30/2013] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of this study is to assess the prevalence of patients exposed to potentially severe drug-drug interactions (DDIs) at hospital admission and discharge and the related risk of in-hospital mortality and adverse clinical events, readmission, and all-cause mortality at 3 months. METHODS This cross-sectional, prospective study was held in 70 Italian internal medicine and geriatric wards. Potentially severe DDIs at hospital admission and discharge; risk of in-hospital mortality and of adverse clinical events, readmission, and all-cause mortality at 3-month follow-up. RESULTS Among 2712 patients aged 65 years or older recruited at hospital admission, 1642 (60.5%) were exposed to at least one potential DDI and 512 (18.9%) to at least one potentially severe DDI. Among 2314 patients discharged, 1598 (69.1%) were exposed to at least one potential DDI and 1561 (24.2%) to at least one potentially severe DDI. Multivariate analysis found a significant association with an increased risk of mortality at 3 months in patients exposed to at least two potentially severe DDIs (Odds ratio 2.62; 95% confidence interval, 1.00-6.68; p = 0.05). Adverse clinical events were potentially related to severe DDIs in two patients who died in the hospital, in five readmitted, and one who died at 3 months after discharge. CONCLUSIONS Hospitalization was associated with an increase in potentially severe DDIs. A significant association was found for mortality at 3 months after discharge in patients with at least two potentially severe DDIs. Careful monitoring for potentially severe DDIs, especially those created at discharge or recently generated, is important to minimize the risk of harm.
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Affiliation(s)
- Luca Pasina
- Laboratory for Quality Assessment of Geriatric Therapies and Services, Drug Information Service for the Elderly, Istituto di Ricerche Farmacologiche Mario Negri (IRCCS), Milan, Italy
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Marusic S, Bacic-Vrca V, Obreli Neto PR, Franic M, Erdeljic V, Gojo-Tomic N. Actual drug-drug interactions in elderly patients discharged from internal medicine clinic: a prospective observational study. Eur J Clin Pharmacol 2013; 69:1717-24. [PMID: 23739998 DOI: 10.1007/s00228-013-1531-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2012] [Accepted: 05/17/2013] [Indexed: 01/31/2023]
Abstract
PURPOSE The aim of the study was to evaluate the incidence and type of actual drug-drug interactions (DDIs) that result in adverse drug reactions (ADRs) or diminished therapeutic effect in elderly patients within 30 days of discharge from an internal medicine clinic. METHODS A prospective observational study was conducted at the Internal Medicine Clinic of University Hospital Dubrava, Zagreb, Croatia, between October and December 2011. Patients aged ≥ 65 years discharged from the Internal Medicine Clinic during the study period with a prescription for two or more medications were eligible for inclusion in the study. A total of 222 patients were ultimately enrolled in the study. For each patient, potential DDIs were identified using Lexi-Interact software. The follow-up visit was scheduled approximately 30 days after discharge. Causality between DDIs and ADRs or diminished therapeutic effect of drugs was assessed by two independent clinicians. RESULTS Potential DDIs were identified in 190 (85.6 %) patients. Actual DDIs were detected in 21 (9.5 %) patients. In 19 patients, DDIs resulted in an ADR. Diminished therapeutic effect resulting from DDIs was detected in two patients. Angiotensin-converting enzyme inhibitors were the drug class most frequently associated with DDI-related ADRs. CONCLUSIONS A significant incidence of actual DDIs suggests that DDIs play an important role in patient safety. Drug therapy should be initiated if absolutely necessary, and the number of drugs used to treat elderly patients should be minimized to reduce the incidence of DDI-related adverse patient outcomes.
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Affiliation(s)
- Srecko Marusic
- Department of Clinical Pharmacology, University Hospital Dubrava, Av. Gojka Suska 6, 10000 Zagreb, Croatia.
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Bucşa C, Farcaş A, Cazacu I, Leucuta D, Achimas-Cadariu A, Mogosan C, Bojita M. How many potential drug-drug interactions cause adverse drug reactions in hospitalized patients? Eur J Intern Med 2013; 24:27-33. [PMID: 23041466 DOI: 10.1016/j.ejim.2012.09.011] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Revised: 09/14/2012] [Accepted: 09/17/2012] [Indexed: 11/27/2022]
Abstract
BACKGROUND Potential drug-drug interactions (DDIs) are frequent in drug prescription but clinically significant are the ones which can result in changes of therapeutic effect of one of the two drugs or in adverse drug reactions (ADRs). The aim of this study was to assess the potential DDIs as well as the DDIs which cause adverse drug reactions (ADRs) in an internal medicine department hospitalized patients. METHODS The prospective study included all patients admitted between November 2010 and January 2011 in an internal medicine ward. Information on patients' demographics and their medication use history was obtained from each patient by interview. In addition, medical history, medication use during hospitalization, and relevant laboratory and clinical data were obtained from medical records. Potential DDIs were identified using the Thomson Micromedex program. Each patient was monitored during the hospitalization period in order to detect the ADRs resulting from DDI's if present. RESULTS Three hundred and five patients were enrolled in this study during 3 months. Of 1279 potential DDIs, Fourteen led to 13 ADRs out of which 8 were serious and caused hospital admission or prolongation of hospitalization. There was a statistically significant association between ADRs related to DDIs and the presence of ATC (Anatomical Therapeutic Chemical) C medication during hospitalization and the length of hospital stay, in the multivariate analysis. CONCLUSION Awareness of the most commonly occurring DDIs should be raised by the utilization of drug-drug interaction guides in the Romanian clinical practice which can help prescribers and pharmacists prevent DDI related ADRs.
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Affiliation(s)
- Camelia Bucşa
- University of Medicine and Pharmacy Iuliu Hatieganu, Drug Information Research Center, Cluj-Napoca, Pasteur Street No. 6, 400349, Romania.
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Agreement among four drug information sources for the occurrence of warfarin drug interactions in Brazilian heart disease patients with a high prevalence of Trypanosoma cruzi infection. Eur J Clin Pharmacol 2012; 69:919-28. [DOI: 10.1007/s00228-012-1411-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2012] [Accepted: 09/07/2012] [Indexed: 11/25/2022]
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Guiding principles for the care of older adults with multimorbidity: an approach for clinicians: American Geriatrics Society Expert Panel on the Care of Older Adults with Multimorbidity. J Am Geriatr Soc 2012; 60:E1-E25. [PMID: 22994865 DOI: 10.1111/j.1532-5415.2012.04188.x] [Citation(s) in RCA: 452] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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Moura C, Prado N, Acurcio F. Potential Drug-Drug Interactions Associated with Prolonged Stays in the Intensive Care Unit. Clin Drug Investig 2012; 31:309-16. [DOI: 10.1007/bf03256929] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Abstract
WHAT IS KNOWN AND OBJECTIVE Drug-drug interactions (DDIs) cause considerable morbidity and mortality worldwide and may lead to hospital admission. Sophisticated computerized drug information and monitoring systems, more recently established in many of the emerging economies, including Malaysia, are capturing useful information on prescribing. Our aim is to report on an investigation of potentially serious DDIs, using a university primary care-based system capturing prescription records from its primary care services. METHODS We retrospectively collected data from two academic years over 20 months from computerized databases at the Universiti Sains Malaysia (USM) from users of the USM primary care services. RESULTS AND DISCUSSION Three hundred and eighty-six DDI events were observed in a cohort of 208 exposed patients from a total of 23,733 patients, representing a 2-year period prevalence of 876·4 per 100,000 patients. Of the 208 exposed patients, 138 (66·3%) were exposed to one DDI event, 29 (13·9%) to two DDI events, 15 (7·2%) to three DDI events, 6 (2·9%) to four DDI events and 20 (9·6%) to more than five DDI events. Overall, an increasing mean number of episodes of DDIs was noted among exposed patients within the age category ≥70 years (P=0·01), an increasing trend in the number of medications prescribed (P<0·001) and an increasing trend in the number of long-term therapeutic groups (P<0·001). WHAT IS NEW AND CONCLUSION We describe the prevalence of clinically important DDIs in an emerging economy setting and identify the more common potentially serious DDIs. In line with the observations in developed economies, a higher number of episodes of DDIs were seen in patients aged ≥70 years and with more medications prescribed. The easiest method to reduce the frequency of DDIs is to reduce the number of medications prescribed. Therapeutic alternatives should be selected cautiously.
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Affiliation(s)
- A A H Dhabali
- WHO Collaborating Centre for Drug Information, National Poison Centre, Universiti Sains Malaysia (USM), Penang, Malaysia.
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Ko Y, Tan SLD, Chan A, Wong YP, Yong WP, Ng RCH, Lim SW, Salim A. Prevalence of the coprescription of clinically important interacting drug combinations involving oral anticancer agents in Singapore: a retrospective database study. Clin Ther 2012; 34:1696-704. [PMID: 22795926 DOI: 10.1016/j.clinthera.2012.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2012] [Revised: 06/13/2012] [Accepted: 06/25/2012] [Indexed: 11/24/2022]
Abstract
BACKGROUND There has been a recent increase in the availability and use of oral anticancer agents (OAAs). Drug-drug interactions (DDIs) involving OAAs pose a major concern in oncology practice due to these drugs' narrow therapeutic indices and potential for compromised efficacy and fatal adverse events. OBJECTIVE To assess the prevalence of the coprescription of potentially interacting drug combinations involving OAAs in Singapore. METHODS A retrospective review of physicians' electronic prescription records between the years 2007 and 2009 was performed in the largest cancer center in Singapore. An overall prevalence rate of potential DDIs and a prevalence rate for each individual DDI pair were calculated. Logistic regression was used to identify risk factors for potential DDIs. RESULTS Fifty-eight clinically significant DDIs were selected for evaluation from Drug Interaction Facts and Micromedex DrugDex. A total of 39,772 OAA prescriptions prescribed to 8837 patients were reviewed. Potential DDI coprescription was found in 5.4% of the patients on OAAs and in 4.7% of the OAA prescriptions. The drug pair prescribed to the largest number of patients was prednisolone and aspirin. About half (53.3%) of the observed DDIs were found on the same prescription. On multivariate analysis, older patients, males, and those taking prednisolone had a higher risk for potential DDIs. CONCLUSION Although limited by the data available, the analysis of prescription records found that ∼5% of patients taking OAAs in Singapore were exposed to ≥1 potentially interacting drug combination.
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Affiliation(s)
- Yu Ko
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
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Slabaugh SL, Maio V, Templin M, Abouzaid S. Prevalence and risk of polypharmacy among the elderly in an outpatient setting: a retrospective cohort study in the Emilia-Romagna region, Italy. Drugs Aging 2011; 27:1019-28. [PMID: 21087071 DOI: 10.2165/11584990-000000000-00000] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Polypharmacy, the simultaneous taking of many medications, has been well documented and is a topic of much concern for those looking to improve the quality of care for the elderly. Elderly patients often develop complicated and multifactorial health states that require extensive pharmacotherapy, leaving this population at risk for exposure to drug-drug interactions and other adverse events. Previous literature supports an association between an increase in the rate of adverse events as the number of drugs taken by a patient increases. OBJECTIVE We sought to evaluate the prevalence of polypharmacy, and to determine patient characteristics that are predictive of exposure to polypharmacy, in the elderly population of the Emilia-Romagna region in Italy. METHODS We conducted a retrospective cohort study of the 2007 Emilia-Romagna outpatient pharmacy database linked with patient information available from a demographic file of approximately 1 million Emilia-Romagna residents aged ≥65 years. The cohort comprised 887,165 elderly subjects who had at least one prescription filled during the study year. Using the WHO's defined daily dose (DDD) to determine the duration of treatment for a given drug, we defined a polypharmacy episode as overlapping treatment with five or more medications occurring for at least 1 day. The prevalence of polypharmacy was measured together with subject characteristics found to be predictive of polypharmacy exposure. RESULTS A total of 349,689 elderly people in the population (39.4%) were exposed to at least one episode of polypharmacy during the study period. The prevalence of polypharmacy substantially increased with age and with a higher number of chronic conditions. Over 35% of those exposed to polypharmacy were exposed for 101 or more days of the year. The top three classes of medications involved in polypharmacy were antithrombotics, peptic ulcer disease and gastro-oesophageal reflux disease agents, and ACE inhibitors. The odds of exposure to polypharmacy were higher for older subjects, males and subjects living in urban areas. CONCLUSIONS This study provides evidence that the prevalence of polypharmacy in the elderly in Emilia-Romagna is substantial. Educational programmes should be developed to inform clinicians about the magnitude of the polypharmacy phenomenon and the patient characteristics associated with polypharmacy. Raising physicians' awareness of polypharmacy may help to ensure safe, effective and appropriate use of medication in the elderly.
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Affiliation(s)
- S Lane Slabaugh
- Jefferson School of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA
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Moura C, Prado N, Acurcio F. Potential drug-drug interactions associated with prolonged stays in the intensive care unit: a retrospective cohort study. Clin Drug Investig 2011. [PMID: 21344954 DOI: 10.2165/11586200-000000000-00000] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND OBJECTIVES Drug-drug interactions (DDIs) are one cause of adverse drug events and can cause harm to hospitalized patients. Little has been done to study the relationship between potential DDIs and an increased length of stay (LOS) in the intensive care unit (ICU). The aim of this study was to determine the frequency of potential DDIs during ICU stays and to determine whether the frequency of these adverse events was associated with ICU LOS. METHODS This retrospective cohort study was conducted from January to December 2007 in the ICU of the General Hospital of Vitória da Conquista, Brazil. The study population comprised all patients aged >18 years admitted to the hospital's ICU. Demographic and prescription data were collected from medical files. All prescriptions administered during the period were examined. Potential DDIs were identified and classified according to the book Drug Interaction Facts. The median LOS was determined by the Kaplan-Meier method and Cox proportional hazards models were fitted to analyse the relationship between potential DDIs and the LOS. RESULTS The study population comprised 236 adults, 158 (67%) of them men, between the ages of 18 and 96 years, with a mean ± SD age of 50 ± 20 years. The median LOS among patients with at least one DDI was 12 days compared with 5 days among those with no DDIs (p < 0.01). Multiple Cox proportional regression analyses showed that a prolonged ICU stay was positively associated with DDIs (hazard ratio [HR] 0.54; 95% CI 0.37, 0.80; p < 0.01), where an HR <1 indicates a variable that increases the risk of prolonged stay (i.e. an adverse outcome). This association was true even after controlling for the cost of hospitalization, the number of procedures and the number of prescribed drugs. CONCLUSION In this study, DDIs were found to be associated with a longer ICU stay. Given that LOS is an important indicator of the quality of health care delivered and that DDIs are considered avoidable, specific measures are necessary to increase the recognition of DDIs. E-prescriptions and dispensing programmes associated with a DDI knowledge base can help health professionals identify hazardous drug combinations.
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Affiliation(s)
- Cristiano Moura
- Multidisciplinary Institute of Health, Federal University of Bahia, Vitria da Conquista, Brazil.
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Lopez-Picazo JJ, Ruiz JC, Sanchez JF, Ariza A, Aguilera B. A Randomized Trial of the Effectiveness and Efficiency of Interventions to Reduce Potential Drug Interactions in Primary Care. Am J Med Qual 2011; 26:145-53. [DOI: 10.1177/1062860610380898] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Juan C. Ruiz
- Murcia Health Service, Murcia Health Area, Murcia, Spain
| | | | - Angeles Ariza
- Murcia Health Service, Murcia Health Area, Murcia, Spain
| | - Belen Aguilera
- Murcia Health Service, Murcia Health Area, Murcia, Spain
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Maio V, Marino M, Robeson M, Gagne JJ. Beta-blocker initiation and adherence after hospitalization for acute myocardial infarction. ACTA ACUST UNITED AC 2011; 18:438-45. [DOI: 10.1177/1741826710389401] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Vittorio Maio
- School of Population Health, Thomas Jefferson University, Philadelphia, USA
| | - Massimiliano Marino
- Clinical Governance, Regional Health Care Agency, Emilia-Romagna, Bologna, Italy
| | - Mary Robeson
- Center for Medical Education and Health Care Research, Jefferson Medical College, Philadelphia, USA
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, USA
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López-Picazo JJ, Ruiz JC, Sánchez JF, Ariza A, Aguilera B. [A hazard scale for severe interactions: a tool for establishing prioritising strategies to improve the safety of the prescription in family medicine]. Aten Primaria 2011; 43:254-62. [PMID: 21216049 DOI: 10.1016/j.aprim.2010.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2010] [Revised: 05/13/2010] [Accepted: 06/04/2010] [Indexed: 10/18/2022] Open
Abstract
OBJECTIVE To effectively locate the drugs most implicated in severe interactions as a basis of designing actions to improve patient safety in Primary Care. DESIGN Cross-sectional study of prescriptions using the Primary Care computerised medical records database (OMI-PC). SETTING Murcia (Spain) Health Areas I, VI, VII and IX (723,664 inhabitants). PARTICIPANTS There are 362,271 patients over 14 years-old available in the OMI-PC and are assigned to a doctor who uses the OMI-PC regularly. MAIN MEASUREMENTS We analysed the drugs that each patient could be taking, looking for severe interactions. We constructed a severe interaction hazard scale (e-PIG) calculating [1] the probability that a non-selected patient may be taking a particular drug and [2] the probability that a drug may produce a severe interaction. With this, we estimated the risk of producing a severe interaction for each drug, which was converted into a 5 point logarithmic scale. RESULTS We found 83,138 patients (22.9%) at risk (they took 2 or more drugs). We identified 466,940 prescriptions providing 939 drugs and 5,597 severe interactions (prevalence 5.8%). In these, 167 drugs were involved, of which e-PIG identified 5 (3%) with an extreme value: omeprazole, diazepam, acenocoumarol, ibuprofen and calcium. CONCLUSIONS e-PIG is a logarithmic expression of the risk that prescribing a particular drug may produce a severe interaction in a determined setting and time. Its monitoring could become a prioritisation element that may assist the design of strategies for improving the safety of the use of drugs.
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Affiliation(s)
- Julio J López-Picazo
- Médico de Familia, Dirección General de Asistencia Sanitaria, Servicio Murciano de Salud, Murcia, España.
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