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. 2023 Apr 14;120(15):253–260. doi: 10.3238/arztebl.m2023.0014

Table 1. Patient characteristics of the analysis population formed by PSM.

ARMIN (N = 5033) Controls(N = 10 039) Total(N = 15 072)
Demographics
– male sex, N (%) 2231 (44.3) 4450 (44.3) 6681 (44.3)
– age in years, mean ± SD 72.6 ± 11.6 73.7 ± 11.4 73.4 ± 11.4
Selected comorbidities and clinical characteristics taken from inpatient and outpatient diagnoses in the year before the index date
Elixhauser comorbidity score (17), mean ± SD 6.3 ± 2.8 6.4 ± 3.0 6.4 ± 3.0
Utilization of the health care system (in the year before the index date)
Number of previous all-cause hospitalizations per patient
– Median (IQR) 0 (0, 1) 1 (0, 1) 1 (0, 1)
– Mean ± SD 0.7 ± 1.1 1.0 ± 1.5 0.9 ± 1.4
Number of previous specific* hospitalizations per patient
– Median (IQR) 0 (0, 0) 0 (0, 1) 0 (0, 0)
– Mean ± SD 0.3 ± 0.7 0.4 ± 0.9 0.4 ± 0.8
High utilization of outpatient healthcare services, N (%) 2151 (42.7) 4283 (42.7) 6434 (42.7)
Medication (in the year before the index date)
Number of different ATC codes per patient
– Median (IQR) 9 (7, 13) 9 (7, 13) 9 (7, 13)
– Mean ± SD 10.2 ± 4.4 10.0 ± 4.8 10.1 ± 4.7

* Specific hospitalizations were defined as admissions potentially related to adverse drug reactions to currently prescribed drugs, according to Meid et al. 2018 (15) ARMIN,Medicines Initiative Saxony-Thuringia; ATC, Anatomic Therapeutic Chemical classification system; IQR, interquartile range; N, number;

PSM, propensity score matching; SD, standard deviation