What “big population data” tells us about neurological disorders comorbidity

Abstract

Objective: To use a large population dataset to examine neurological disorder comorbidity. Seventeen main classes of Diagnosed International Classification of Disease (ICD) disorder codes were grouped and compared to ICD-9 Nerurological disorder codes.Methods: Calgary, Alberta, health zone diagnosis, sex and age data from 1994-2009 physician billings (n = 763,449) were grouped and tallied on the basis of the presence or absence of any neurological disorder across the 17 remaining ICD main disorder classes and represented as odds ratios (ORs with 95% confidence intervals).Results: Within the ICD categories the 17 classes were ranked by ORs: Ill-defined conditions (OR 7.42), musculoskeletal and connective tissue system disorders (OR 4.22), and psychiatric disorders (OR 3.81) were the ranked the highest main classes, respectively. Thirteen additonal main classes had ORs greaeter than 2.00.Conclusions: There was a strong relationship between neurological disorders and the ICD main classes. The results of this broad stroke analysis point to the requirement for analysis of the both the temporal relationships (e.g., before vs. after) between neurological disorders and comorbid disorderss as well as more fine-grained description of the specifice intra-class disorders underlying the reported odds ratios.

Early Dental Caries and Their Associated International Classifications of Disease Morbidity: A 16-Year Population Study

“…Notwithstanding the limitations, the method presented provides a model to standardize and compare future morbidity research. The main contribution of the present paper, as with similar analyses of other serious diseases, is that the findings provide a broad stroke indication that standardized analyses may prove very useful in understanding with precision both the conditional etiology and the sequelae of temporal hyper-morbidity associated with dental caries arising in the very young [30,31,39,40]. Finally, given the long-term impact on health status of early dental caries, understanding the epigenetic social and biomedical determinants of dental caries arising in individuals under the age of four years is of paramount importance in the formation of policy guiding both dental care and childcare standards.…”