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Table 3 Effect sizes of risk factors in unstratified multilevel Cox model

From: Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis

 

HR*

95% CI

P

Demographics

   

Male sex

1.0

(0.9–1.1)

0.86

Age <50

0.5

(0.4–0.6)

<0.001

Age >70

2.7

(2.4–3.1)

<0.001

Heart disease

   

History of MI

1.8

(1.5–2.0)

<0.001

LVEF <40%

1.6

(1.4–1.8)

<0.001

Killip class II–IV

2.1

(1.8–2.3)

<0.001

Beta-blocker use

0.8

(0.7–0.9)

<0.001

Comorbidity

   

Diabetes

1.8

(1.6–2.0)

<0.001

Depression low†

0.9

(0.7–1.0)

0.04

Depression high†

1.3

(1.1–1.4)

<0.001

Antidepressant use

1.3

(1.1–1.6)

0.01

General health

   

Hyperlipidaemia

0.9

(0.8–1.0)

0.08

Smoking

1.1

(1.0–1.2)

0.22

BMI <20

1.3

(1.0–1.7)

0.03

BMI >30

0.9

(0.8–1.0)

0.09

Predictive accuracy

 

AUC (general)‡

0.770 (0.730–0.809)

AUC (male – female)§

0.770 (0.714–0.825) – 0.754 (0.687–0.816)

  1. AUC, Area under the curve; BMI, Body mass index; 95% CI, 95% Confidence interval; HR, Hazard ratio; LVEF, Left ventricular ejection fraction; MI, Myocardial infarction; P, P value.
  2. *HR’s, 95% CI, P values and predictive accuracy for multivariate multilevel Cox models with main effects only in the training data (n = 8,410).
  3. †Depression low and high: depression z-score in the lowest and highest quartile.
  4. ‡AUC in the validation data (n = 2,102).
  5. §AUC for male patients (n = 1,475) and female patients (n = 627) in the validation data.
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BMC Medicine

ISSN: 1741-7015

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