In epidemiologic studies that collect comprehensive information on medication use, the complexity of dealing with a large number of trade and generic names may limit the utilization of these data bases. This paper shows the specific advantage of using two coding systems, one to maximize efficiency of data entry, and the other to facilitate analysis by organizing the drug ingredients into hierarchical categories. The approach used by two large surveys, one in the USA and one in Italy, is described: the Established Populations for Epidemiologic Studies of the Elderly (EPESE) and the 'Gruppo Italiano di Farmacovigilanza nell' Anziano' (GIFA). To enter the medications into a computerized database, codes matching the drug product names are needed. In the EPESE the prescription and over the counter drug products are coded with the Drug Products Information Coding System (DPICS) and the Iowa Nonprescription Drug Products Information Coding System (INDPICS), respectively. The GIFA study uses the coding system of the Italian Ministry of Health (MINSAN), with a unique numeric code for each drug product available in Italy. To simplify the analytical process the drug entry codes are converted into hierarchical coding systems with unique codes for specific drug ingredients, chemical and therapeutic categories. The EPESE and GIFA drug data are coded with the Iowa Drug Information System (IDIS) ingredient codes, and the Anatomical Therapeutic and chemical (ATC) codes, respectively. Examples are provided that show coding of diuretics in these two studies and demonstrate the analytic advantages of these systems.
In order to characterize the neuropsychologic profile of patients with hypoxic-hypercapnic chronic obstructive pulmonary disease (COPD), the performance of 36 patients with COPD 69 +/- 10 yr of age (mean +/- SD) on 19 tests exploring eight cognitive domains was compared with those of 29 normal adults (69 +/- 7 yr of age), 20 normal elderly adults (78 +/- 2 yr of age), 26 patients with Alzheimer-type dementia (72 +/- 6 yr of age), and 28 with multi-infarct dementia (MID) (70 +/- 8 yr of age). The discriminant analysis of cognitive test scores showed that 48.5% of patients with COPD had a specific pattern of cognitive deterioration characterized by a dramatic impairment in verbal and verbal memory tasks, well-preserved visual attention, and diffuse worsening of the other functions. The remaining patients with COPD were functionally classified as normal adults (12.1%), normal elderly adults (15.2%), those with MID (12.1%), and those with Alzheimer-type dementia (12.1%) according to discriminant analysis. Cognitive impairment was significantly and positively correlated with age (p < 0.05) and duration of hypoxic-hypercapnic chronic respiratory failure (p < 0.05). Because patients with COPD were receiving oxygen therapy from the beginning of oxyhemoglobin desaturation, results suggest that continuous oxygen therapy does not prevent or only partly prevents cognitive decline in COPD. Although some analogies between age-related and COPD-related cognitive decline are evident, a distinct cognitive profile was found in a large fraction of patients with COPD and it differs in several aspects from those of both normal and demented subjects.
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