| Literature DB >> 35352796 |
Ahmed Hussain1, Khalid Ali1,2, Nikesh Parekh1,2, Jennifer M Stevenson3,4, J Graham Davies3,5, Stephen Bremner6, Chakravarthi Rajkumar1,2.
Abstract
AIM: Cardiovascular disease (CVD) is common amongst frail older people. The evidence base for CVD commonly excludes older adults with multimorbidity or chronic conditions. Most cardiovascular drugs have the potential to lower blood pressure (BP) and therefore cause medication-related harm (MRH). We aimed to identify key clinical and sociodemographic characteristics associated with MRH in older people taking BP-lowering drugs for whatever indication they were prescribed.Entities:
Keywords: cardiovascular disease; frailty; hypertension; medication-related harm; older people; polypharmacy
Mesh:
Substances:
Year: 2022 PMID: 35352796 PMCID: PMC8966023 DOI: 10.1093/ageing/afac045
Source DB: PubMed Journal: Age Ageing ISSN: 0002-0729 Impact factor: 10.668
Participant characteristics at baseline stratified by whether they experienced medication-related harm or not
| Characteristics | No medication- related harm ( | Medication-related harm ( | Total ( |
|
|---|---|---|---|---|
| Demographics | ||||
| Age (years) | 81 (75–86) | 83 (75–87) | 81 (75–86) | 0.261 |
| Gender (female) [ | 429 (58) | 62 (60) | 491 (59) | 0.784 |
| Ethnic origin (White-British) [ | 708 (96) | 100 (96) | 808 (96) | 0.845 |
| Living alone [ | 363 (50) | 57 (55) | 420 (50) | 0.560 |
| Clinical and laboratory data | ||||
| Charlson Comorbidity Index | 2 (1–3) | 1 (1–3) | 2 (1–3) | 0.149 |
| Number of Charlson Comorbidity Conditions [ | ||||
| 0–1 | 344 (47) | 56 (54) | 400 (48) | 0.175 |
| ≥2 | 393 (53) | 48 (46) | 441 (52) | |
| Cognition (AMTS) | 10 (9–10) | 9 (9–10) | 10 (9–10) | 0.286 |
| eGFR (ml/min) | 61 ± 22 | 57 ± 18 | 60 ± 22 | 0.101 |
| Alcohol intake per week | ||||
| 0 units [ | 444 (60) | 65 (63) | 509 (60) | 0.859 |
| 1–14 units [ | 248 (34) | 34 (33) | 282 (34) | |
| 15+ units [ | 45 (6) | 5 (5) | 49 (6) | |
| Medication detail | ||||
| Number of antihypertensives | 2 (1–2) | 2 (1–3) | 2 (1–2) | <0.001 |
| Total number of regular medications | 10 (7–12) | 9 (7–12) | 10 (7–12) | 0.190 |
| Previous history of ADRs [ | 242 (33) | 38 (37) | 280 (34) | 0.494 |
| Use of compliance aid [ | 253 (34) | 37 (36) | 290 (35) | 0.802 |
| Class of blood-pressure lowering medication | ||||
| ACEI and ARBs [ | 410 (56) | 68 (65) | 478 (57) | 0.056 |
| Beta-blockers [ | 414 (56) | 56 (54) | 470 (56) | 0.737 |
| Calcium channel blockers [ | 224 (30) | 50 (48) | 274 (33) | 0.001 |
| Aldosterone antagonists [ | 76 (10) | 17 (16) | 93 (11) | 0.066 |
| Thiazide and thiazide-like diuretics [ | 59 (8) | 6 (6) | 65 (8) | 0.424 |
| Other antihypertensives [ | 47 (6) | 12 (12) | 59 (7) | 0.085 |
aMedian (IQR).
bMean ± SD.
cContinuous data analysed using Mann–Whitney U test.
dCategorical data analysed using Pearson’s χ2.
AMTS, abbreviated mental test score; ADR, adverse drug reaction; eGFR, estimated glomerular filtration rate; ACEI, angiotensin-converting-enzyme inhibitors; ARB, angiotensin II receptor blockers.
*Drugs coded C02 (other antihypertensives); CO3A and CO3B (Thiazide and thiazide-like diuretics); C03DA (Aldosterone antagonists); C07 (Beta-blockers); C08 (Calcium Channel Blockers); C09 (ACEI/ARBs) on WHO-ATC system.
Variables associated with medication-related harm before and after adjusting for confounding factors in multivariate logistic regression analysis
| Variable | Unadjusted odds ratio (95% CI) | Adjusted odds ratio (95% CI) |
|---|---|---|
| Age (years) | 1.01 (0.99, 1.04) | 1.02 (0.99, 1.05) |
| Charlson Comorbidity Index | 0.96 (0.86, 1.07) | 0.96 (0.86, 1.08) |
| Total number of blood-pressure lowering medications | 1.63 (1.29, 2.07) | 1.45 (1.11, 1.88) |
| CCB | 2.03 (1.36, 3.03) | 1.39 (0.86, 2.24) |
| CCB and ACEI/ARB | 2.05 (1.09, 3.85) | 1.37 (0.68, 2.76) |
| CCB, ACEI/ARB and Beta-blocker | 3.33 (1.41, 7.86) | 1.40 (0.56, 3.75) |
ACEI, angiotensin-converting-enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker; CI, confidence interval.