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Table 7 Predictors of a CES-guided treatment strategy in univariate and multivariable analyses

From: Predictors of the utility of clinical exome sequencing as a first-tier genetic test in patients with Mendelian phenotypes: results from a referral center study on 603 consecutive cases

Predictor

Univariate analysis

Multivariable analysis†

Beta

(SE)

Odds ratio

(95% CI)

P value*

Beta

(SE)

Odds ratio

(95% CI)

P value‡

Confirmation of the suspected diagnosis, Yes or Contributive

1.86

(0.36)

6.41

(3.16–13.01)

3.13 × 10−9

1.32

(0.39)

3.75

(1.74–8.12)

0.0008

Suspected diagnosis subgroup, Hypercholesterolemia

1.11

(0.36)

3.03

(1.51–6.08)

3.23 × 10−3

1.24

(0.41)

3.45

(1.56–7.66)

0.002

Number of genetic variants reported in the CES report per patient

0.5

(0.13)

1.77

(1.38–2.27)

8.24E × 10−6

0.37

(0.16)

1.44

(1.06–1.97)

0.02

Department, Reference Center for Inborn Errors of Metabolism

0.69

(0.29)

1.99

(1.12–3.52)

1.56E × 10−2

0.66

(0.33)

1.94

(1.02–3.69)

0.04

Setting, University Hospital of Nancy

1.74

(1.03)

5.68

(0.76–42.38)

2.57 × 10−2

Not retained§

  

Number of genetic variants classified as LP or P per patient

0.59

(0.22)

1.8

(1.17–2.77)

8.62 × 10−3

Not retained§

  

Number of genetic variants classified as VUS, LP, or P per patient

0.56

(0.15)

1.76

(1.31–2.36)

2.04 × 10−4

Not retained§

  

Exome sequencing on the proband and at least one family member

0.64

(0.29)

1.89

(1.06–3.36)

3.39 × 10−2

Not retained§

  

Suspected diagnosis subgroup, One-carbon metabolism disorder

0.64

(0.29)

1.89

(1.06–3.36)

3.39 × 10−2

Not retained§

  

Suspected diagnosis group, Liver disorder

 − 1.14

(0.61)

0.32

(0.1–1.06)

3.01 × 10−2

Not retained§

  
  1. 95% CI 95% confidence interval; Beta beta coefficient; SE standard error
  2. *Univariate logistic regression analysis
  3. Cox & Snell R2, 0.11; Nagelkerke R2, 0.20; Percent of cases correctly classified, 85%; AUROC, 0.768 (95% CI, 0.725 to 0.807)
  4. Multivariable logistic regression analysis using the stepwise method
  5. §Not retained in the multivariate logistic regression model