Shed-MEDS: pilot of a patient-centered deprescribing framework reduces medications in hospitalized older adults being transferred to inpatient postacute care.

BACKGROUND: Polypharmacy is common in hospitalized older adults. Deprescribing interventions are not well described in the acute-care setting. The objective of this study was to describe a hospital-based, patient-centered deprescribing protocol (Shed-MEDS) and report pilot results. METHODS: This was a pilot study set in one academic medical center in the United States. Participants consisted of a convenience sample of 40 Medicare-eligible, hospitalized patients with at least five prescribed medications. A deprescribing protocol (Shed-MEDS) was implemented among 20 intervention and 20 usual care control patients during their hospital stay. The primary outcome was the total number of medications deprescribed from hospital enrollment. Deprescribed was defined as medication termination or dose reduction. Enrollment medications reflected all prehospital medications and active in-hospital medications. Baseline characteristics and outcomes were compared between the intervention and usual care groups using simple logistic or linear regression for categorical and continuous measures, respectively. RESULTS: There was no significant difference between groups in mean age, sex or Charlson comorbidity index. The intervention and control groups had a comparable number of medications at enrollment, 25.2 (±6.3) and 23.4 (±3.8), respectively. The number of prehospital medications in each group was 13.3 (±4.6) and 15.3 (±4.6), respectively. The Shed-MEDS protocol compared with usual care significantly increased the mean number of deprescribed medications at hospital discharge and reduced the total medication burden by 11.6 versus 9.1 (p = 0.032) medications. The deprescribing intervention was associated with a difference of 4.6 [95% confidence interval (CI) 2.5-6.7, p < 0.001] in deprescribed medications and a 0.5 point reduction (95% CI -0.01 to 1.1) in the drug burden index. CONCLUSIONS: A hospital-based, patient-centered deprescribing intervention is feasible and may reduce the medication burden in older adults.

Medications associated with geriatric syndromes and their prevalence in older hospitalized adults discharged to skilled nursing facilities.

BACKGROUND: More than half of the hospitalized older adults discharged to skilled nursing facilities (SNFs) have more than 3 geriatric syndromes. Pharmacotherapy may be contributing to geriatric syndromes in this population. OBJECTIVES: Develop a list of medications associated with geriatric syndromes and describe their prevalence in patients discharged from acute care to SNFs. DESIGN: Literature review and multidisciplinary expert panel discussion, followed by cross-sectional analysis. SETTING: Academic medical center in the United States PARTICIPANTS: One hundred fifty-four hospitalized Medicare beneficiaries discharged to SNFs. MEASUREMENTS: Development of a list of medications that are associated with 6 geriatric syndromes. Prevalence of the medications associated with geriatric syndromes was examined in the hospital discharge sample. RESULTS: A list of 513 medications was developed as potentially contributing to 6 geriatric syndromes: cognitive impairment, delirium, falls, reduced appetite or weight loss, urinary incontinence, and depression. Medications included 18 categories. Antiepileptics were associated with all syndromes, whereas antipsychotics, antidepressants, antiparkinsonism, and opioid agonists were associated with 5 geriatric syndromes. In the prevalence sample, patients were discharged to SNFs with an overall average of 14.0 (±4.7) medications, including an average of 5.9 (±2.2) medications that could contribute to geriatric syndromes, with falls having the most associated medications at discharge at 5.5 (±2.2). CONCLUSIONS: Many commonly prescribed medications are associated with geriatric syndromes. Over 40% of all medications ordered upon discharge to SNFs were associated with geriatric syndromes and could be contributing to the high prevalence of geriatric syndromes experienced by this population. Journal of Hospital Medicine 2016;11:694-700. © 2016 Society of Hospital Medicine.

Drug reaction with eosinophilia and systemic symptoms syndrome probably induced by a lamotrigine-ginseng drug interaction.

The likelihood of a drug reaction with lamotrigine is increased by dose escalation that is too rapid or drug interactions that increase the concentration of lamotrigine. There is a well-documented interaction between valproic acid and lamotrigine in which lamotrigine levels are increased, subsequently increasing the risk of a drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome. This syndrome is characterized by fever, lymphadenopathy, diffuse maculopapular rash, multivisceral involvement, eosinophilia, and atypical lymphocytes and has a mortality rate of 10-40%. We describe the first case, to our knowledge, of DRESS syndrome that was probably induced by a drug interaction between lamotrigine and ginseng. A 44-year-old white man presented to the emergency department after experiencing a possible seizure. His medical history included two other lifetime events concerning for seizures at ages 14 and 29 years old. After referral to the neurology clinic, he was diagnosed with generalized tonic-clonic seizure disorder, and lamotrigine was started with up-titration according to the drug's package insert to a goal dosage of 150 mg twice/day. The patient had also been taking deer antler velvet and ginseng that he continued during his lamotrigine therapy. On day 43 of therapy, the patient presented to the emergency department with a pruritic rash that had started on his extremities and spread to his torso. He was thought to have experienced a drug reaction to lamotrigine, and the drug was discontinued. Thirteen days later, the patient was admitted from the acute care clinic for inpatient observation due to laboratory abnormalities in the setting of continued rash, headache, and myalgias. His admission laboratory results on that day were remarkable for leukocytosis, with a white blood cell count up to 17.6 × 10(3) /mm(3) , with a prominent eosinophilia of 3.04 × 10(3) /mm(3) ; his liver enzyme levels were also elevated, with an aspartate aminotransferase level of 191 U/L, alanine aminotransferase level 473 U/L, alkaline phosphatase level 465 U/L, and total bilirubin level 1.4 mg/dl. Use of the Drug Interaction Probability Scale indicated that a drug interaction between lamotrigine and ginseng was the probable cause (score of 5). The proposed mechanism of the interaction is ginseng inhibition of the uridine diphosphate glucuronosyltransferase 2B7 enzyme, similar to the mechanism of the interaction with valproic acid. Clinicians should be aware of this probable drug interaction and avoid coadministration of ginseng and lamotrigine or use a more conservative dose titration of lamotrigine for patients who are also taking ginseng.

Characteristics associated with postdischarge medication errors.

OBJECTIVE: To examine the association of patient- and medication-related factors with postdischarge medication errors. PATIENTS AND METHODS: The Vanderbilt Inpatient Cohort Study includes adults hospitalized with acute coronary syndromes and/or acute decompensated heart failure. We measured health literacy, subjective numeracy, marital status, cognition, social support, educational attainment, income, depression, global health status, and medication adherence in patients enrolled from October 1, 2011, through August 31, 2012. We used binomial logistic regression to determine predictors of discordance between the discharge medication list and the patient-reported list during postdischarge medication review. RESULTS: Among 471 patients (mean age, 59 years), the mean total number of medications reported was 12, and 79 patients (16.8%) had inadequate or marginal health literacy. A total of 242 patients (51.4%) were taking 1 or more discordant medication (ie, appeared on either the discharge list or patient-reported list but not both), 129 (27.4%) failed to report a medication on their discharge list, and 168 (35.7%) reported a medication not on their discharge list. In addition, 279 participants (59.2%) had a misunderstanding in indication, dose, or frequency in a cardiac medication. In multivariable analyses, higher subjective numeracy (odds ratio [OR], 0.81; 95% CI, 0.67-0.98) was associated with lower odds of having discordant medications. For cardiac medications, participants with higher health literacy (OR, 0.84; 95% CI, 0.74-0.95), with higher subjective numeracy (OR, 0.77; 95% CI, 0.63-0.95), and who were female (OR, 0.60; 95% CI, 0.46-0.78) had lower odds of misunderstandings in indication, dose, or frequency. CONCLUSION: Medication errors are present in approximately half of patients after hospital discharge and are more common among patients with lower numeracy or health literacy.