Morbidity was analysed for 5,431 workers neither dead nor lost to follow-up from 1960 to 2001 and was based on Hospital Discharge Records in the period 2001 2006.
8 9 21 22 In this study, short-term mortality and short-term morbidity was analysed by monitoring SOFA scores directly, before and 24 h after transport; this is a potentially practical parameter.
Survey data regarding experience of (hypo manic symptoms and occurrence of co-morbidities were analysed for 106 students satisfying criteria for probable bipolar syndrome (≥7 mood elevation symptoms plus problems on the Mood Disorder Questionnaire (MDQ)), 459 threshold bipolar students (≥7 symptoms only) and 637 controls (zero symptoms).
Differences in demographic, clinical and lifestyle characteristics between the group with and without co-morbidity were analysed using χ or Fisher's exact test when appropriate for categorical data and the Student's t test for continuous data.
These co-morbidities were analysed from 2000 to 2009 because from 1992 to 1999 it was not compulsory to notify them and therefore data were not complete.
Association of clusters with health factors, adjusted for age, sex, body mass index and morbidities, was analysed using multinomial regression models.
The association of pain clusters with health factors overall, adjusted for age, sex, BMI and number of morbidities, was analysed using multinomial logistic regression models, presented as relative risk ratios (RRR) with 95% confidence intervals (CIs).
For all other cases of new co-morbidity, the patients were analysed in the multiple conditions group.
Clinical variables including patient demographics, co-morbidities and preoperative cardiac measurements were analysed to determine predictors of reverse remodelling (table 3).
Perinatal characteristics, mortality and morbidity rates and the survival free of major complications were analysed and their temporal trends evaluated.
