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Table 3 Predictors of mortality using cox regression analysis

From: Importance of iron deficiency in patients with chronic heart failure as a predictor of mortality and hospitalizations: insights from an observational cohort study

Variables

Univariate HR

P value

Multivariate HR

P value

Age (per 5 years)

1.36 (1.30–1.42)

< 0.001

1.21 (1.16–1.27)

< 0.001

Female sex

1.08 (0.90–1.30)

0.39

0.65 (0.54–0.79)

< 0.001

Hypertension

1.35 (1.12–1.63)

0.002

  

Diabetes Mellitus

1.51 (1.27–1.80)

< 0.001

1.30 (1.08–1.55)

0.005

COPD

1.63 (1.33–1.99)

< 0.001

  

HFPEF

1.11 (0.90–1.36)

0.34

  

Ischaemic aetiology

1.09 (0.92–1.30)

0.33

  

NYHA class III-IV

3.14 (2.63–3.74)

< 0.001

1.85 (1.53–2.24)

< 0.001

Systolic BP (per 10 mmHg)

0.97 (0.93–1.01)

0.112

  

Heart rate (per 10 bpm)

1.09 (1.03–1.16)

0.004

  

BMI (1 kg/m2)

0.96 (0.95–0.98)

< 0.001

  

ACE-I or ARB

0.37 (0.29–0.46)

< 0.001

0.70 (0.55–0.89)

0.004

Beta blockers

0.41 (0.33–0.51)

< 0.001

0.59 (0.47–0.74)

< 0.001

Diuretics

2.46 (1.77–3.42)

< 0.001

1.66 (1.19–2.31)

0.005

MRAs

0.97 (0.82–1.16)

0.77

  

Digoxin

1.26 (1.05–1.52)

0.015

  

ICD

0.72 (0.52–0.98)

0.039

  

Iron deficiency

1.32 (1.11–1.57)

0.002

1.09 (0.91–1.31)

0.337

Haemoglobin (per 1 g/dL)

0.78 (0.75–0.82)

< 0.001

0.90 (0.85–0.95)

< 0.001

Log NT-proBNP (per 1 SD)

1.93 (1.76–2.11)

< 0.001

1.49 (1.34–1.66)

< 0.001

Sodium (per 5 mmol/L)

0.78 (0.69–0.88)

< 0.001

0.96 (0.94–0.99)

0.003

eGFR (per 5 ml/min/1.73m2)

0.89 (0.87–0.91)

< 0.001

  
  1. HR Hazard Ratio, COPD Chronic Obstructive Pulmonary Disease, HFPEF Heart failure with preserved ejection fraction, NYHA New York Heart Association, BP Blood pressure, BMI Body mass index, ACE-I Angiotensin converting enzyme inhibitor, ARB Angiotensin II receptor blocker, MRAs Mineralocorticoid receptor antagonists, ICD Implantable cardioverter defibrillator, Log Logarithmic transformation, NTproBNP N-terminal pro-brain natriuretic peptide, SD Standard deviation, eGFR Estimated glomerular filtration rate
  2. Variables introduced in the multivariate model were: Age, gender, ischaemic aetiology, systolic BP, HFPEF, diabetes mellitus, hypertension, COPD, BMI, NYHA functional class III-IV, haemoglobin, logNT-proBNP, eGFR, sodium, heart rate, treatment with beta blockers, ACE-i/ARBs, diuretics, digoxin and an ICD