| Literature DB >> 25887546 |
Antonio San-José1,2, Antonia Agustí3, Xavier Vidal4, Francesc Formiga5,6, Mercedes Gómez-Hernández7,8, Juana García9,10, Alfonso López-Soto11,12, Nieves Ramírez-Duque13,14, Olga H Torres15,16, José Barbé17,18.
Abstract
BACKGROUND: Scientific evidence on treatments of chronic diseases in patients 85 years old or older is very limited, as is available information on inappropriate prescription (IP) and its associated factors. The study aimed to describe medicine prescription, potentially inappropriate medicines (PIM) and potentially prescribing omissions (PPO) and their associated factors on this population.Entities:
Mesh:
Substances:
Year: 2015 PMID: 25887546 PMCID: PMC4403827 DOI: 10.1186/s12877-015-0038-8
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Baseline characteristics of patients (weighted percentages)
|
|
|
|
|
|---|---|---|---|
|
|
| ||
| Age (median [Q1–Q3]) | 88 (86–90) | 80 (77–82) | <0.001 |
| Gender female (%) | 60.8 | 53.6 | 0.086 |
| Admission reason (%) | 0.308 | ||
| ● Acute disease | 54.4 | 50.1 | |
| ● Exacerbation of chronic disease | 45.6 | 49.9 | |
| Emergency room origin (%) | 94.6 | 92.4 | 0.285 |
| Dwelling (%) | 0.004 | ||
| ● Community | 82 | 91.5 | |
| ● Nursing Home | 18 | 8.5 | |
| Living with (%) | <0.001 | ||
| ● Partner | 16.3 | 32.4 | |
| ● Family | 51.4 | 38.2 | |
| ● Single | 9.6 | 17.6 | |
| ● Others | 22.7 | 11.8 | |
| GP visits during previous month (%) | 0.012 | ||
| ● None | 48.1 | 35.9 | |
| ● One or two | 41.7 | 51.8 | |
| ● Three or more | 10.2 | 12.3 | |
| Admissions during the previous month (%) | 0.077 | ||
| ● None | 85.2 | 84.7 | |
| ● One | 14.2 | 12.5 | |
| ● Two or more | 0.6 | 2.8 | |
| Barthel Index (median [Q1–Q3]) | |||
| ● Basal | 60 (35–80) | 80 (55–95) | <0.001 |
| ● On admission | 30 (5–55) | 55 (20–70) | <0.001 |
| ● On discharge | 45 (15–65) | 65 (35–80) | <0.001 |
| GDS basal (%) | <0.001 | ||
| ● 1-2 | 44.1 | 65.1 | |
| ● 3-5 | 41.5 | 25.0 | |
| ● 6-7 | 14.4 | 9.9 | |
| Positive CAM on admission (%) | 20.38 | 11.66 | 0.004 |
| Failures in Pfeiffer test (median [Q1–Q3]) | 3 (2–5) | 2 (0–4) | <0.001 |
| Charlson Index (median [Q1–Q3]) | 2 (1–4) | 3 (1–4) | 0.034 |
| Multimorbidity (%) | 67 | 59.3 | 0.060 |
| Number of medicines (median [Q1–Q3]) | 10 (7–13) | 10 (7–14) | 0.185 |
| Number of medicines (%) | 0.400 | ||
| ● 0-4 | 9.4 | 6.6 | |
| ● 5-9 | 37.5 | 36.2 | |
| ● 10 and more | 53.1 | 57.2 | |
| Discharged to (%) | <0.001 | ||
| ● Home | 66 | 80.4 | |
| ● Nursing Home | 23.7 | 12.4 | |
| ● Another Hospital | 0.7 | 1.2 | |
| ● Died | 9.6 | 6 |
GP: General Practitioner; GDS: Global Deterioration Scale; CAM: Confusion Assessment Method.
The most frequently prescribed medicines according to age groups
|
|
| ||
|---|---|---|---|
|
|
|
|
|
| omeprazole | 61.4 | omeprazole | 61.2 |
| paracetamol | 51.5 | paracetamol | 45.2 |
| furosemide | 47.0 | furosemide | 43.7 |
| acethylsalicylic acid | 38.1 | acethylsalicylic acid | 29.7 |
| lorazepam | 21.5 | acenocoumarol | 26.0 |
| enalapril | 20.8 | enalapril | 21.9 |
| amlodipine* | 18.8 | simvastatin | 21.7 |
| metformin | 18.6 | metformin | 21.7 |
| nitroglycerin nitrate | 17.4 | ipratropium bromide | 19.1 |
| simvastatin | 16.4 | hydrochlorothiazide | 16.9 |
| ipratropium bromide | 16.3 | metamizole | 16.8 |
| acenocoumarol | 16.2 | lorazepam | 15.3 |
| hydrochlorothiazide | 15.8 | nitroglycerin nitrate | 14.8 |
*Amlodipine 13.26% in those aged 75 to 84.
Prevalence of PIM and PPO according to the criteria
|
|
|
|
|
|---|---|---|---|
| Beers | 47.28 | 53.76 | P = 0.126 |
| STOPP | 63.36 | 60.47 | P = 0.482 |
| START | 53.68 | 49.65 | P = 0.342 |
| ACOVE3 | 59.40 | 54.91 | P = 0.289 |
Main potentially inappropriate medicines (PIM) and potentially prescribing omissions (PPO) in patients aged 85 years and over compared with those aged 75 to 84 years
|
|
|
|
|
|
|---|---|---|---|---|
|
| ||||
| Syncope or falls | Short- to intermediate-acting benzodiazepine and tricyclic antidepressants | 10.7 | 9.8 | 0.712 |
| Independent diagnosis | Long-acting benzodiazepines | 10.5 | 12.7 | 0.268 |
|
| ||||
| Drugs that adversely affect those prone to falls | Benzodiazepines | 18.4 | 13.2 | 0.090 |
| Central nervous system and psychotropic drugs | Long-term (i.e. >1 month), long-acting benzodiazepines | 9.5 | 11.7 | 0.687 |
| Cardiovascular system | Aspirin at dose >150 mg day | 8.6 | 4.9 | 0.106 |
| Cardiovascular system | Aspirin with no history of coronary, cerebral or peripheral arterial symptoms or occlusive arterial event | 7.8 | 7.5 | 0.909 |
|
| ||||
| Cardiovascular system | ACE inhibitor with chronic heart failure | 12.8 | 13.5 | 0.750 |
| Cardiovascular system | Warfarin in the presence of chronic atrial fibrillation | 12.8 | 10.3 | 0.343 |
| Musculoskeletal system | Calcium and vitamin D supplement in patients with known osteoporosis | 11.3 | 5.6 | 0.013 |
| Endocrine system | Antiplatelet therapy in diabetes mellitus if one or more coexisting major cardiovascular risk factor present | 8.8 | 10.3 | 0.530 |
|
| ||||
| Osteoporosis | IF a VE has osteoporosis, THEN he or she should be prescribed calcium and vitamin D supplements | 13.3 | 5.7 | 0.002 |
| Hypertension | IF a VE with HTN has a history of HF, left ventricular hypertrophy, IHD, chronic kidney disease, or cardiovascular accident, THEN he or she should be treated with an ACE inhibitor or ARB | 12.6 | 9.9 | 0.289 |
| Stroke and atrial fibrillation | IF a VE has chronic atrial fibrillation and is at medium to high risk for stroke, THEN anticoagulation should be offered. | 10.7 | 8.1 | 0.242 |
| Hypertension | IF a VE with HTN has IHD, THEN treatment with a beta-blocker should be recommended or documentation of why it should not be provided. | 10.6 | 4.3 | 0.002 |
| Osteoporosis | IF a female VE has osteoporosis, THEN she should be treated with bisphosphonates, raloxifene, calcitonin, hormone replacement therapy, or teriparatide | 10.5 | 7.4 | 0.163 |
Results of the multivariate regression analysis
|
|
| ||||
|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
|
| ||||
| Number of medicines | Number of medicines | ||||
| ● 10 or more | 5.7 (1.8-17.9) | 0.003 | ● 5 - 9 | 6.3 (1.1-34.4) | 0.035 |
| ● 10 or more | 11.0 (2.0- 59.7) | 0.006 | |||
| Female gender | 1.9 (1.1-3.1) | 0.014 | |||
| START-listed PPO | 1.8 (1.0-2.9) | 0.027 | |||
|
|
| ||||
| Number of medicies | Number of medicines | ||||
| ● 5 - 9 | 5.7 (1.8-17.8) | 0.003 | ● 10 or more | 5.1 (1.5-16.8) | 0.007 |
| ● 10 or more | 13.4 (4.0-44.0) | <0.001 | ACOVE-3-listed PPO | 2.2 (1.2-3.6) | 0.004 |
| Severe dependence in | |||||
| ADL | 5.0 (1.1-22.1) | 0.031 | |||
| Multimorbidity | 0.5 (0.2-0.9) | 0.045 | |||
|
|
| ||||
| Non-community dwelling | 2.3 (1.0-5.0) | 0.030 | Multimorbidity | 1.9 (1.0-3.2) | 0.027 |
| Multimorbidity | 1.8 (1.0-3.1) | 0.040 | |||
|
|
| ||||
| STOPP-listed PIM | 2.5 (1.4-4.3) | 0.001 | STOPP-listed PIM | 2.2 (1.2-3.8) | 0.004 |
Only the statistically significant risk factors associated to PIM and PPO tools are presented.