Sentences with phrase «multivariable analysis»

An HIV diagnosis during pregnancy, initiation of antiretroviral therapy in the third trimester, plasma viral load of ≥ 500 copies / mL, and delivery between 37 and 40 weeks were correlated with increased likelihood of HIV - indicated cesarean delivery in multivariable analysis.

The results from the longitudinal multivariable analyses for GI and glycemic load on the basis of available carbohydrate are shown in Table 4.

Researchers from the Massachusetts Eye and Ear performed multivariable analysis accounting for age, body mass index (BMI), medical conditions, and other glaucoma medications that could confound the potential association between PGAs and the periocular changes in a large, cross-sectional study that assesses the ocular anatomy of glaucoma patients with masked reviewers using a validated instrument.

Table 5 shows the results from the longitudinal multivariable analyses for the other measures of energy - adjusted carbohydrate consumption.

This is the first time that a UK - based study has attempted to answer this question using multivariable analysis techniques to control for known confounders such as: parity, anaemia, maternal age and maternal BMI [12, 13].

In this updated multivariable analysis, the researchers included age, race, gender, synchronous vs metachronous disease, and consensus molecular subtypes, as well as other mutational events such as BRAF, NRAS, KRAS, HRAS, and microsatellite instability status.

In multivariable analysis, compared to women in the lowest quartile of whole body fat mass, women in the highest quartile had approximately a doubling in the risk for ER - positive breast cancer.

They performed multivariable analyses to assess whether PAP was independently associated with PGA use or if it was the result of confounding features such as age, ethnicity, BMI or use of other classes of glaucoma medications.

* Pregnancy risk status was included in the multivariable analysis via the inclusion of a number of individual risk factors as model covariates (see «Definitions» section and Table 3).

In the multivariable analysis, the only variables that remained significantly associated with an increased risk of ischaemic stroke were age (hazard ratio [HR] 1.06, 95 % confidence interval [CI] 1.05 - 1.08, p < 0.001 per incremental year) and alcohol related hospitalisation (HR 2.01, 95 % CI 1.45 — 2.79, p < 0.001).

A multivariable analysis that included factors such as age, sex, stage, disease burden, certain mutations and prior treatment showed that obesity still improved PFS and OS compared to normal BMI patients.

Vulvar melanoma: a multivariable analysis of 644 patients.

Results: In multivariable analyses, higher intakes of total protein and 7 potentially cardioprotective AAs were associated with lower cSBP, MAP, and PWV.

Significant independent variables (p - value < 0.2) were considered for multivariable analysis.

Prior to multivariable analysis, the multicollinearity test was done.

Binary logistic regression was employed for multivariable analysis, as the dependent variable was dichotomous.

Subsequently, univariate, bivariate, and multivariable analyses were performed.

Multivariable analyses were used to assess group differences in outcomes, controlling for baseline measures.

The same procedure was used to test the associations between prenatal stressful life events and infectious diseases in the offspring, except that maternal relationship satisfaction was included as a control variable in the multivariable analyses.