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These tables were used to formulate groupings of M-codes to create main diagnostic groups.
Figure 3 The number of patients transported per month according to the main diagnostic groups (infection, vascular disease and fracture).
Chi-square test was used to compare the prevalence of anxiety and depression in the two main diagnostic groups (migraine without aura; tension-type headache with/without migraine without aura) and in the three diagnostic groups separately.
The correlations in liability for disability retirement in the main diagnostic groups are shown in Table 3.
The model of genetic and specific environmental factors (AE) was the best fitting model in all DPs and in the main diagnostic groups.
The number of concordant and discordant twin pairs for disability retirement in the main diagnostic groups is shown in Table 2.
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In model 2 corrections were made for the patient characteristics gender, age and the ICD9 main diagnostic group.
The main diagnostic group consisted of rheumatoid arthritis, with psoriatic arthritis and polymyalgia rheumatica (PMR) or giant cell arteritis (GCA) representing two-thirds of the remaining diagnoses.
Due to the relatively low prevalence of depression, this disorder was grouped together with all of the anxiety disorders and with undifferentiated anxiety/depression in the main diagnostic group of Emotional disorders (see Table 1).
Of these 27 patient records were excluded during analysis because they could not be linked to the hospital administration database and consequently had missing ICD9 main diagnostic group information.
The most frequent admission category was medical (61.5%), and the main diagnostics groups were neurological 9 (34,6%) and respiratory (15,4%).
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