There were significant (P < 0.001) differences between quartiles for all outcome variables except for the number of TQEs, when accounting for the number of oocytes retrieved, and the ongoing pregnancy rate.
There were no significant differences in risk between quartiles 1 3 for LDRv and quartiles 2 4 for STv.
These characteristics were similar between quartiles, except for age (higher in q2), type of admission (scheduled surgery more frequent in q2, emergency surgery and trauma more frequent in q4), severity scores (APACHE II and SOFA scores lower in q2, higher in q4).
There were no significant associations between VQ11 quartiles and either age or BMI.
Concerning our second hypothesis regarding differences between birthdate quartiles for total matches played, we conducted a unidirectional one factorial analysis of variance with birth quartile as the independent variable and total matches played as the dependent variable.
Table 2B shows little difference in the number of SMs between the anti-protein Abs for all disease categories and little difference in SM levels between the quartiles for medium-length and the longest CDR-H3s; however, the short CDR-H3 quartile tended to have lower levels of SM than did the longer two groups.
Fig. 2 ICU and hospital length of stay (days) of the four quartiles of caloric intake, before (a, b) and after (c, d) adjustments for between-quartile differences in baseline characteristics (age, type of admission, APACHE II and SOFA scores).
Fig. 1 ICU, hospital and 28-day mortality of the four quartiles of caloric intake, expressed in percentages before (a – c) and after (d – f) adjustments for between-quartile differences in baseline characteristics (age, type of admission, APACHE II and SOFA scores).
Because of these differences between quartiles, an adjusted analysis for age, type of admission, APACHE II and SOFA scores was carried out, in addition to the unadjusted analysis.
Adjustment covariates were identical to primary analysis regression model 3. Statistical comparisons were made between quartiles 4 and 1 for each biomarker exposure.
