Sentence examples for multivariate adjustment including from inspiring English sources

However, in our previous epidemiologic analysis of pain utilization, 18 multivariate adjustment including patient age and comorbidities did not substantially change the effect estimates between COPD and pain.

Therefore after multivariate adjustment including the use of a propensity score, we observed no improvement in MACE or survival in those patients who received GP IIb/IIIa inhibitors.

Using a crude linear-regression analysis model, we found a strong association between aluminium and BMD as well as with BMC, but after multivariate adjustment including age these associations did not remain significant (Table 2).

Although the majority of studies found a substantial direct association between TG and adverse outcomes [ 3- 12], this association sometimes became nonsignificant after multivariate adjustment including other lipids and weight-related variables [ 13- 16].

In a prospective study in Copenhagen, the relative risk of the group bicycling to work was 0.72 [95% confidence interval (CI), 0.57 0.91] compared with other modes of transport after multivariate adjustment, including leisure-time physical activity (Andersen et al. 2000).

After multivariate adjustment, including for the DPP intervention, participants in the highest tertile of 25-hydroxyvitamin D (median concentration, 30.1 ng/mL) had a hazard ratio of 0.72 (95% CI 0.56 0.90) for developing diabetes compared with participants in the lowest tertile (median concentration, 12.8 ng/mL).

Moreover, our multivariate adjustment included newer prognostic factors like hs-CRP, major genetic and non-genetic determinant of tHcy levels (MTHFR 677C→T polymorphism, B group vitamins, renal function), and details on current drug therapy after CABG.

Multivariate adjustment includes all factors given in the table aPatient and/or physician reported Table  3 shows that higher HbA1c levels were strongly associated with the initiation of BOT (HR: 1.227; 95 % CI: 1.197 to 1.257).

In our study, the confidence intervals were somewhat large; however, highly significant results were obtained also after multivariate adjustments including several confounders.

No statistically significant associations between MBPS measurements and PWV, WML or lnUAE in either treated or untreated patients were found after multivariate adjustments including age, gender, diabetes, and 24-h SBP (data not shown).

Pooling an age-adjusted and gender-adjusted OR and two multivariate ORs (adjustment included age, gender, obesity, hypertension, and diabetes mellitus) between gout and CKD stage ≥3 resulted in an adjusted OR of 2.41 (95% CI 1.86, 3.11) [ 22, 30, 48].