| Literature DB >> 32431190 |
Min Zhao1, Mark Woodward2,3,4, Ilonca Vaartjes1,5, Elizabeth R C Millett2, Kerstin Klipstein-Grobusch1,6, Karice Hyun7, Cheryl Carcel3,8, Sanne A E Peters1,2.
Abstract
Background Sex differences in the management of cardiovascular disease have been reported in secondary care. We conducted a systematic review with meta-analysis of systematically investigated sex differences in cardiovascular medication prescription among patients at high risk or with established cardiovascular disease in primary care. Methods and Results PubMed and Embase were searched between 2000 and 2019 for observational studies reporting on the sex-specific prevalence of aspirin, statins, and antihypertensive medication prescription, including beta blockers, calcium channel blockers, angiotensin-converting enzyme inhibitors, and diuretics, in primary care. Random effects meta-analysis was used to obtain pooled women-to-men prevalence ratios for each cardiovascular medication prescription. Metaregression models assessed the impact of age and year on the findings. A total of 43 studies were included, involving 2 264 600 participants (28% women) worldwide. Participants' mean age ranged from 51 to 76 years. The pooled prevalence of cardiovascular medication prescription for women was 41% for aspirin, 60% for statins, and 68% for any antihypertensive medications. Corresponding rates for men were 56%, 63%, and 69% respectively. The pooled women-to-men prevalence ratios were 0.81 (95% CI, 0.72-0.92) for aspirin, 0.90 (95% CI, 0.85-0.95) for statins, and 1.01 (95% CI, 0.95-1.08) for any antihypertensive medications. Women were less likely to be prescribed angiotensin-converting enzyme inhibitors (0.85; 95% CI, 0.81-0.89) but more likely with diuretics (1.27; 95% CI, 1.17-1.37). Mean age, mean age difference between the sexes, and year of study had no significant impact on findings. Conclusions Sex differences in the prescription of cardiovascular medication exist among patients at high risk or with established cardiovascular disease in primary care, with a lower prevalence of aspirin, statins, and angiotensin-converting enzyme inhibitors prescription in women and a lower prevalence of diuretics prescription in men.Entities:
Keywords: cardiovascular medication; meta‐analysis; primary care; sex differences; systematic review
Mesh:
Substances:
Year: 2020 PMID: 32431190 PMCID: PMC7429003 DOI: 10.1161/JAHA.119.014742
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 5.501
Figure 1Flowchart of records screened and included in the systematic review.
ACEI indicates angiotensin‐converting enzyme inhibitor; and CCB, calcium channel blocker.
Key Characteristics of Selected Studies
| Study | Year | Country | Prevention Type | Sample Size | Women | Men | Age, y | Cardiovascular Medications | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aspirin | Statin | Antihtn | BB | CCB | ACEI | Diuretics | ||||||||
| Al‐Lawati et al | 2007 | Oman | Mixed | 2551 | 1352 | 1199 | 54 | X | X | X | X | X | X | |
| Alberts et al | 2004 | Multiple | Secondary | 55 499 | 18 315 | 37 184 | 69 | X | ||||||
| Brady et al | 1998 | UK | Secondary | 24 431 | 9898 | 14 533 | 67 | X | X | X | X | X | X | |
| Brady et al | 2002 | UK | Secondary | 12 045 | 4457 | 7588 | 67 | X | X | X | X | X | ||
| Bull et al | 2003 | UK | Secondary | 13 929 | 5827 | 8102 | >40 | X | ||||||
| Carlsson et al | 2013 | Sweden | Secondary | 7408 | 3330 | 4078 | 76 | X | X | X | X | X | ||
| Carroll et al | 2001 | UK | Secondary | 6778 | 2787 | 3991 | NA | X | X | X | ||||
| Catalán‐Ramos et al | 2009 | Spain | Primary | 696 073 | 358 218 | 337 855 | 51 | X | X | X | X | X | ||
| Crilly et al | 2001 | UK | Secondary | 1162 | 552 | 610 | 69 | X | X | X | ||||
| Dodhia et al | 2013 | UK | Secondary | 6711 | 2828 | 4564 | 70 | X | ||||||
| Dreyer et al | 2007 | Australia | Secondary | 2005 | 721 | 1284 | 70 | X | X | X | X | |||
| Driscoll et al | 2007 | Australia | Secondary | 12 509 | 5267 | 7242 | 73 | X | X | |||||
| Emberson et al | 2001 | UK | Mixed | 8538 | 4286 | 4252 | NA | X | X | X | X | X | ||
| Forster et al | 2013 | UK | Secondary | 23 811 | 4502 | 4252 | NA | X | X | |||||
| Greving et al | 2000 | NL | Primary | 7550 | 4774 | 2776 | 63 | X | X | X | X | |||
| Gulliford et al | 2010 | UK | Secondary | 7065 | 3816 | 3249 | 73 | X | X | |||||
| Hawkins et al | 2007 | UK | Secondary | 13 330 | 6803 | 6527 | 68 | X | X | |||||
| Hendrix et al | 2005 | US | Mixed | 72 508 | 29 208 | 43 300 | NA | X | X | X | X | X | X | |
| Hippisley‐Cox et al | 2001 | UK | Mixed | 5891 | 2783 | 3108 | NA | X | X | |||||
| Hyun et al | 2012 | Australia | Mixed | 13 294 | 6202 | 7092 | 61 | X | X | |||||
| Journath et al | 2005 | Sweden | Primary | 6537 | 3410 | 3127 | 66 | X | X | X | X | X | X | |
| Lahoz et al | 2008 | Spain | Secondary | 8817 | 2319 | 6498 | 65 | X | X | X | X | X | X | |
| Law et al | 2010 | Canada | Primary | 390 | 128 | 262 | 58 | X | ||||||
| Lawlor et al | 2000 | UK | Secondary | 1314 | 483 | 831 | NA | X | ||||||
| Lee et al | 2018 | Australia | Secondary | 130 926 | 61 142 | 69 784 | 67 | X | X | X | X | X | ||
| Macchia et al | 2012 | Italy | Secondary | 21 423 | 6928 | 14 495 | NA | X | X | X | X | |||
| Majeed et al | 1996 | UK | Secondary | 63 259 | 34 545 | 28 714 | NA | X | ||||||
| Majeed et al | 2002 | UK | Secondary | 2129 | 1224 | 905 | NA | X | X | X | ||||
| Murphy et al | 2004 | UK | Secondary | 2186 | 1213 | 973 | NA | X | X | X | ||||
| Nanna et al | 2015 | US | Mixed | 5693 | 2460 | 3233 | 68 | X | ||||||
| Nilsson et al | 2004 | Sweden | Mixed | 9375 | 4293 | 5082 | 65 | X | X | |||||
| Nilsson et al | 2007 | Sweden | Primary | 1135 | 714 | 421 | 52 | X | X | X | ||||
| Owen et al | 2009 | Australia | Primary | 12 499 | 5896 | 6603 | 63 | X | X | X | X | X | ||
| Paulsen et al | 2011 | Denmark | Primary | 5413 | 3305 | 2108 | 66 | X | X | X | X | X | ||
| Qato et al | 2011 | US | Mixed | 4136 | 2233 | 1903 | 52 | X | X | |||||
| Saposnik et al | 2004 | Canada | Secondary | 1094 | 415 | 679 | 67 | X | X | |||||
| Sheppard et al | 2009 | UK | Mixed | 4699 | 1937 | 2762 | 54 | X | ||||||
| Svilaas et al | 2000 | Norway | Secondary | 2060 | 707 | 1353 | 69 | X | ||||||
| Tabenkin et al | 2004 | US | Primary | 407 | 210 | 197 | 53 | X | X | X | ||||
| Turnbull et al | 2008 | Australia | Mixed | 3664 | 1834 | 1830 | 68 | X | X | |||||
| Virani et al | 2011 | US | Secondary | 972 532 | 13 371 | 959 161 | 71 | X | ||||||
| Weler et al | 2003 | US | Mixed | 3849 | 1953 | 1896 | 65 | X | X | |||||
| Wandell et al | 2007 | Sweden | Secondary | 7975 | 3465 | 4510 | NA | X | X | X | X | X | ||
ACEI indicates angiotensin converting enzyme inhibitor; Antihtn, any anti‐hypertensive medication; BB, beta blocker; CCB, calcium channel blocker; EU, Europe; NL, The Netherlands; UK, United Kingdom; and US, United States.
Year: study performed year. Studies with asterisk indicate publication year.
Figure 2Women‐to‐men prevalence ratio of aspirin, statins, and any antihypertensive medications prescription.
For each study, the square is centered on the women‐to‐men prevalence ratio and the horizontal lines show the associated 95% CI. The diamond indicates the pooled summary and its 95% CI.
Figure 3Women‐to‐men prevalence ratio of individual antihypertensive medication prescription.
For each study, the square is centered on the women‐to‐men prevalence ratio and the horizontal lines show the associated 95% CI. The diamond indicates the pooled summary and its 95% CI.