| Literature DB >> 25949262 |
Paula Gardiner1, Amanda C Filippelli1, Ekaterina Sadikova1, Laura F White2, Brian W Jack1.
Abstract
Purpose. To identify characteristics associated with the use of potentially harmful combinations of dietary supplements (DS) and cardiac prescription medications in an urban, underserved, inpatient population. Methods. Cardiac prescription medication users were identified to assess the prevalence and risk factors of potentially harmful dietary supplement-prescription medication interactions (PHDS-PMI). We examined sociodemographic and clinical characteristics for crude (χ (2) or t-tests) and adjusted multivariable logistic regression associations with the outcome. Results. Among 558 patients, there were 121 who also used a DS. Of the 110 participants having a PHDS-PMI, 25% were asked about their DS use at admission, 75% had documentation of DS in their chart, and 21% reported the intention to continue DS use after discharge. A multivariable logistic regression model noted that for every additional medication or DS taken the odds of having a PHDS-PMI increase and that those with a high school education are significantly less likely to have a PHDS-PMI than those with a college education. Conclusion. Inpatients at an urban safety net hospital taking a combination of cardiac prescription medications and DS are at a high risk of harmful supplement-drug interactions. Providers must ask about DS use and should consider the potential for interactions when having patient discussions about cardiac medications and DS.Entities:
Year: 2015 PMID: 25949262 PMCID: PMC4407526 DOI: 10.1155/2015/429826
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Sociodemographic factors associated with and without potentially harmful dietary supplement-prescription medication use.
| Sociodemographic factors | Total number of participants | Potentially harmful dietary supplement-prescription medication use |
| |
|---|---|---|---|---|
| Sample size | ( | No ( | Yes ( | |
| Continuous age: mean (SD) | 558 | 49.86 (13.75) | 49.52 (16.25) | 0.84 |
| Number of oral products: mean (SD) | 558 | 7.89 (5.23) | 9.55 (5.62) | 0.004 |
| Gender | ||||
| Male | 276 | 225 (81.52%) | 51 (18.48%) | 0.47 |
| Female | 282 | 223 (79.08%) | 59 (20.92%) | |
| Education* | ||||
| Less than high school | 112 | 85 (75.89%) | 27 (24.11%) | 0.05 |
| High school | 227 | 195 (85.9%) | 32 (14.1%) | |
| College | 207 | 158 (76.33%) | 49 (23.67%) | |
| Income | ||||
| Other (refused/missing) | 206 | 170 (82.52%) | 36 (17.48%) | 0.17 |
| None to $9,999 | 124 | 92 (74.19%) | 32 (25.81%) | |
| $10,000–$29,999 | 121 | 97 (80.17%) | 24 (19.83%) | |
| $30,000–$49,999 | 48 | 43 (89.58%) | 5 (10.42%) | |
| $50,000+ | 59 | 46 (77.97%) | 13 (22.03%) | |
| Insurance | ||||
| Private | 184 | 145 (78.8%) | 39 (21.2%) | 0.54 |
| Government/free care | 374 | 303 (81.02%) | 71 (18.98%) | |
| Race | ||||
| Non-Hispanic Black | 278 | 221 (79.5%) | 57 (20.5%) | 0.67 |
| Hispanic/other | 108 | 90 (83.33%) | 18 (16.67%) | |
| Non-Hispanic White | 172 | 137 (79.65%) | 35 (20.35%) | |
| Marital status | ||||
| Single | 436 | 350 (80.28%) | 86 (19.72%) | 0.99 |
| Married | 122 | 98 (80.33%) | 24 (19.67%) | |
| English as the primary language | ||||
| Yes | 488 | 394 (80.74%) | 94 (19.26%) | 0.48 |
| No | 70 | 54 (77.14%) | 16 (22.86%) | |
| Born in the USA | ||||
| Yes | 434 | 350 (80.65%) | 84 (19.35%) | 0.69 |
| No | 124 | 98 (79.03%) | 26 (20.97%) | |
| REALM** | ||||
| ≤60 | 205 | 167 (81.46%) | 38 (18.54%) | 0.59 |
| >60 | 328 | 261 (79.57%) | 67 (20.43%) | |
| Depressive symptoms | ||||
| Mild to severe | 92 | 76 (82.61%) | 16 (17.39%) | 0.54 |
| No | 466 | 372 (79.83%) | 94 (20.17%) | |
| Health care utilization | ||||
| Frequent utilizer | ||||
| Yes | 85 | 70 (82.35%) | 15 (17.65%) | 0.60 |
| No | 473 | 378 (79.92%) | 95 (20.08%) | |
| Has PCP | ||||
| Yes | 455 | 360 (79.12%) | 95 (20.88%) | 0.15 |
| No | 103 | 88 (85.44%) | 15 (14.56%) | |
| Lifestyle variables | ||||
| Alcohol use | ||||
| Yes | 146 | 116 (79.45%) | 30 (20.55%) | 0.77 |
| No | 412 | 332 (80.58%) | 80 (19.42%) | |
| Illegal drug use | ||||
| Yes | 100 | 86 (86.0%) | 14 (14.0%) | 0.11 |
| No | 458 | 362 (79.04%) | 96 (20.96%) | |
*Total participants = 546.
**Total participants = 533.
Specific medication and dietary supplement concordant use self-reported or documented in the medical record.
| High blood pressure medication | Antiarrhythmic and nitrates | Anticoagulants except Warfarin | Warfarin | Cholesterol-lowering drugs | Diabetes medications | ||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Diuretics | ACE inhibitors | ARBs | Other |
|
|
|
|
|
| Any vitamins/minerals‡
| 81 | 73 | 46 | 90 | 48 | 79 | 8 | 80 | 73 |
| Vitamin C*
| 1 | 1 | 0 |
| 0 | 2 | 0 |
| 1 |
| Vitamin D*
| 18 | 17 | 4 |
|
|
|
|
| 18 |
| Multivitamin*
| 16 | 20 | 3 |
| 2 |
|
|
|
|
| Calcium*
|
| 11 | 4 |
|
| 13 | 3 |
| 11 |
| Magnesium*
|
| 0 | 1 |
| 1 | 2 | 1 | 0 | 2 |
|
| |||||||||
| Any nonvitamin dietary supplement‡ ( | 35 | 35 | 14 | 47 | 10 | 39 | 6 | 39 | 30 |
| Fish oils/omega fatty acids‡
|
|
|
|
| 5 |
|
| 16 | 15 |
| Cranberry supplement‡
| 11 | 11 | 7 | 15 | 3 | 19 |
| 18 | 13 |
|
| |||||||||
| Garlic supplements‡
| 9 | 9 |
|
| 2 |
|
| 12 | 8 |
| Ginseng supplement‡
| 5 | 6 | 1 |
| 0 |
|
|
|
|
| Ginger supplements‡
| 4 | 4 | 2 | 5 | 0 |
|
| 6 | 6 |
| Gingko biloba supplement‡
| 2 | 1 |
|
|
|
|
| 2 |
|
| St. John's Wort‡
| 0 | 0 |
|
|
| 0 |
|
| 0 |
|
| |||||||||
| Interaction rates by drug class | 89/252 = 0.29 | 12/95 = 0.04 | 56/186 = 0.31 | 57/178 = 0.24 | 46/152 = 0.15 | ||||
*Documented in chart.
‡Self-reported.
ACE: angiotensin converting enzyme inhibitors.
ARB: angiotensin II receptor blockers.
Other blood pressure medications (beta blockers, calcium channel blockers, and prostaglandins).
Behaviors surrounding DS use among participants with drug-specific interactions.
| Type of cardiac medication |
| Asked | Documented | Continue |
|---|---|---|---|---|
| Any cardiac medication | 110 | 27 (25%) | 83 (75%) | 23 (21%) |
| Hypertension medication | 89 | 8 (9%) | 69 (78%) | 24 (27%) |
| Antiarrhythmic medication | 12 | 0 (0%) | 7 (58%) | 5 (42%) |
| Anticoagulants (except Warfarin) | 56 | 5 (9%) | 39 (44%) | 16 (18%) |
| Warfarin | 10 | 0 (0%) | 9 (90%) | 3 (30%) |
| Cholesterol-lowering medication | 57 | 5 (9%) | 40 (70%) | 16 (28%) |
| Diabetes medication | 46 | 3 (6%) | 34 (74%) | 12 (26%) |
“Cardiac medications” is a compilation of all of the following (see Table 2 for individual medication frequencies).
Adjusted multivariable logistic regression reporting factors associated with participants with and without potentially harmful dietary supplement-prescription medication use*.
| Number of observations used: 524 participant characteristics | Odds ratio (95% CI) |
|
|---|---|---|
| Number of oral products | 1.07 (1.03, 1.11) | 0.0009 |
| Annual household income | ||
| $10,000–$29,999 versus none to $9,999 | 0.70 (0.38, 1.29) | 0.33 |
| $30,000–$49,999 versus none to $9,999 | 0.30 (0.10, 0.76) | 0.09 |
| $50,000+ versus none to $9,999 | 0.49 (0.20, 1.10) | 0.61 |
| Missing/refused versus none to $9,999 | 0.58 (0.33, 0.998) | 0.94 |
| Education | ||
| High school versus college | 0.47 (0.28, 0.79) | 0.0015 |
| Less than high school versus college | 1.00 (0.57, 1.76) | 0.14 |
| Insurance | ||
| Government/free care versus private | 0.82 (0.51, 1.34) | 0.42 |
| Illegal drug use | ||
| Yes versus no | 0.59 (0.31, 1.07) | 0.098 |
*Adjusted model for age and gender.