| Literature DB >> 29596512 |
Jonas W Wastesson1, Angel Cedazo Minguez2, Johan Fastbom1, Silvia Maioli2, Kristina Johnell1.
Abstract
BACKGROUND: Polypharmacy is common among older adults. However, little is known about the composition of polypharmacy: which are the most frequently used drugs, and how much do these drugs contribute to the overall prevalence of polypharmacy.Entities:
Mesh:
Year: 2018 PMID: 29596512 PMCID: PMC5875802 DOI: 10.1371/journal.pone.0194892
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Prevalence of polypharmacy and number of drugs used (mean and median) after exclusion of the top 1 to 10 most frequently used drugs among individuals aged ≥75 years, Sweden 2013.
Fig 2Prevalence and concomitant use of other drugs for A: drug classes (3rd level ATC) and B. drug compounds (5th level ATC), in the total study population (n = 822,619) Sweden 2013.
Characteristics of the population stratified by polypharmacy, excessive polypharmacy and living arrangement.
Aged ≥75 years Sweden, 2013.
| Total population | Polypharmacy, ≥5 drugs5 drugs | Excessive Polypharmacy, ≥10 drugs≥10 drugs | Institution | |||||
|---|---|---|---|---|---|---|---|---|
| (n = 822,619) | (n = 367,412) | (n = 68,100) | (n = 70,500) | |||||
| % | n | % | n | % | n | % | n | |
| Age | ||||||||
| 75–84 | 68.9 | 566,527 | 63.3 | 232,418 | 61.2 | 41,648 | 32.8 | 23,006 |
| 85–94 | 28.9 | 237,899 | 34.2 | 125,566 | 36.3 | 24,701 | 56.6 | 39,653 |
| 95+ | 2.2 | 18,193 | 2.6 | 9,428 | 2.6 | 1,751 | 10.6 | 7,391 |
| Women | 58.9 | 484,498 | 61.3 | 225,106 | 64.8 | 44,096 | 71.4 | 50,028 |
| Institution | 8.5 | 70,050 | 13.1 | 47,989 | 19.0 | 12,946 | 100 | 70,050 |
| Number of drugs | ||||||||
| 0 | 13.3 | 109,498 | 0.0 | 0 | 0.0 | 0 | 4.8 | 3,364 |
| 1–4 | 42.0 | 345,709 | 0.0 | 0 | 0.0 | 0 | 26.7 | 18,697 |
| 5–9 | 36.4 | 299,312 | 81.5 | 299,312 | 0.0 | 0 | 50.0 | 35,043 |
| ≥10 | 8.3 | 68,100 | 18.5 | 68,100 | 100 | 68,100 | 18.5 | 12,946 |
| Number of drugs, median (IQR) | 4 | 2 to 7 | 7 | 6 to 9 | 11 | 10 to 13 | 6 | 4 to 9 |
The 10 most commonly used drug classes (3rd level ATC) and drug compounds (5th level ATC code) among older adults with polypharmacy, excessive polypharmacy and living in institutions.
Aged ≥75 years, Sweden, 2013.
| Polypharmacy (n = 376,412) | Excessive polypharmacy (68,100) | Institution (n = 70,500) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| B01A | Antithrombotic agents | 61.1 | 224,412 | B01A | Antithrombotic agents | 71.6 | 48,726 | N02B | Minor analgesics | 48.0 | 33,648 |
| C07A | Beta-blockers | 51.9 | 190,696 | C07A | Beta-blockers | 62.2 | 42,359 | B01A | Antithrombotic agents | 44.3 | 31,062 |
| C10A | Lipid modifying agents | 38.5 | 141,435 | N02B | Minor analgesics | 54.6 | 37,176 | N06A | Antidepressants | 42.2 | 29,563 |
| N02B | Minor analgesics | 32.3 | 118,701 | A02B | Drug for peptic ulcer | 49.3 | 33,576 | B03B | Vitamin B12, folic acid | 32.7 | 22,934 |
| B03B | Vitamin B12, folic acid | 30.1 | 110,429 | C03C | High-ceiling diuretics | 48.6 | 33,085 | C03C | High-ceiling diuretics | 30.4 | 21,273 |
| C08C | Selective calcium channel blockers | 28.8 | 105,799 | B03B | Vitamin B12, folic acid | 45.8 | 31,174 | C07A | Beta-blockers | 30.3 | 21,192 |
| C03C | High-ceiling diuretics | 28.1 | 103,294 | C10A | Lipid modifying agents | 45.8 | 31,160 | N05C | Hypnotics/sedatives | 26.4 | 18,510 |
| A02B | Drug for peptic ulcer | 27.8 | 102,062 | N05C | Hypnotics/sedatives | 44.4 | 30,261 | A02B | Drug for peptic ulcer | 26.3 | 18,417 |
| N05C | Hypnotics/sedatives | 27.6 | 101,303 | N06A | Antidepressants | 37.7 | 25,660 | N05B | Anxiolytics | 23.5 | 16,463 |
| C09A | ACE inhibitors | 25.4 | 93,477 | C08C | Selective calcium channel blockers | 32.6 | 22,169 | A06A | Laxatives | 19.6 | 13,729 |
| B01AC06 | Acetylsalicylic acid | 44.3 | 162,727 | N02BE01 | Paracetamol | 54.6 | 37,160 | N02BE01 | Paracetamol | 48.0 | 33,636 |
| N02BE01 | Paracetamol | 32.3 | 118,614 | B01AC06 | Acetylsalicylic acid | 51.4 | 34,966 | B01AC06 | Acetylsalicylic acid | 36.4 | 25,521 |
| C07AB02 | Metoprolol | 30.9 | 113,642 | C03CA01 | Furosemide | 48.1 | 32,781 | C03CA01 | Furosemide | 30.2 | 21,146 |
| C10AA01 | Simvastatin | 29.3 | 107,580 | A02BC01 | Omeprazole | 41.3 | 28,130 | B03BA01 | Cyanocobalamin | 28.4 | 19,873 |
| C03CA01 | Furosemide | 27.9 | 102,522 | B03BA01 | Cyanocobalamin | 39.4 | 26,848 | A02BC01 | Omeprazole | 23.4 | 16,380 |
| B03BA01 | Cyanocobalamin | 25.9 | 95,275 | C07AB02 | Metoprolol | 36.1 | 24,614 | N06AB04 | Citalopram | 21.5 | 15,084 |
| A02BC01 | Omeprazole | 23.5 | 86,211 | C10AA01 | Simvastatin | 33.8 | 23,008 | N05BA04 | Oxazepam | 20.0 | 13,976 |
| C09AA02 | Enalapril | 18.1 | 66,546 | N05CF01 | Zopiclone | 27.5 | 18,744 | C07AB02 | Metoprolol | 18.3 | 12,797 |
| N05CF01 | Zopiclone | 16.6 | 60,792 | A12AX | Calcium + vitamin D combinations | 26.1 | 17,767 | N05CF01 | Zopiclone | 18.5 | 12,975 |
| A12AX | Calcium + vitamin D | 16.4 | 60,137 | H03AA01 | Levothyroxine sodium | 21.3 | 14,515 | B03BB01 | Folic acid | 16.4 | 11,460 |