Modelling the consequences of a reduction in alcohol consumption among patients with alcohol dependence based on real-life observational data

Table 2 Number of events per 100,000 patient-years by HDD category^a

HDDs per year (days)	Ischemic heart disease	Ischemic stroke	Traffic injuries	Other injuries	Cirrhosis	Pancreatitis	Pneumonia	Hemorrhagic stroke	Total
<100	1170	382	40	834	153	105	1517	107	4308
100–120	1727	554	269	3047	380	384	1813	156	8330
120–140	1841	591	326	3486	461	530	1889	182	9306
140–160	1946	625	390	3904	549	710	1965	209	10298
160–180	2027	652	471	4262	716	1304	2060	226	11718
180–200	2079	672	604	4590	914	1666	2222	251	12998
200–220	2152	697	720	4993	1244	2643	2398	287	15134
>220	2543	825	1054	6845	2083	4769	2921	478	21518

^aOut of the 200,000 patients simulated, 83.5 % had fewer than 100 HDDs/year, 9.2 % had between 100 and 220 HDDs, and 7.3 % had more than 220 HDDs. For each HDD group of patients, the probabilities of events for each patient were summed over 12 months, and this sum was transformed to represent the number of events per 100,000 individuals

ISSN: 1471-2458