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Background-Prevalence of asthma in developed countries increased between the 1970s and the 1990s. One factor that might contribute to the trends in asthma is the increased use of acetaminophen vs aspirin in children and pregnant women.

Many cardiovascular drugs have been implicated as causes of depression. With the exception of beta-blockers, few have been studied in formal epidemiologic designs. I present a new approach to such analyses that effectively controls for confounders that are stable over time. I analyzed the exposure histories of 11,244 incident antidepressant users, using the Odense University PharmacoEpidemiologic Database. All persons starting both beta-blockers and antidepressants during a predefined period were identified. If beta-blockers do not cause depression, this particular population should show equal numbers of persons starting either drug first. A depression-provoking effect of beta-blockers would generate an excess of persons starting beta-blockers first, that is a nonsymmetrical distribution of prescription orders. Confounders causing the two drugs to be co-prescribed would rarely be expected to affect the symmetry. The initial screening showed nonsymmetrical prescription orders for a wide range of cardiovascular drugs. After adjustment for an increasing incidence of antidepressant prescribing, I found a depression-provoking effect only for angiotensin-converting enzyme (ACE) inhibitors (rate ratio = 1.29; 95% confidence interval = 1.08-1.56) and calcium channel blockers (rate ratio = 1.31; 95% confidence interval = 1.14-1.51). This prescription sequence symmetry analysis may be useful as a screening tool.

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