Diagram of model 1.

<p>The first five hospitalizations are considered. “In” stands for admission in hospital, “Out” for discharge from hospital and “D” for death. Patients with first admission for HF are considered. No distinction has been done between rehospitalization for heart failure or for any cause.</p

Hazard rates (and corresponding 95% CIs) for transitions of model 2.

<p>Hazard rates (and corresponding 95% CIs) for transitions of model 2.</p

Descriptive analysis of ICU/IHC events.

<p>Descriptive analysis of ICU/IHC events.</p

Diagram of model 2.

<p>The state space is made by all the possible events described in the dataset: admission to hospital (H), to ICU or IHC, discharge from any state (OUT) and death.</p

Descriptive analysis of the whole cohort.

<p>Descriptive analysis of the whole cohort.</p

Cardiovascular drugs^† prescribed at the end of the visit or at hospital discharge in patients with and without angina.

<p>^†Drugs not reported have been used in less than 5% of cases. ACE-I: angiotensin converting enzyme inhibitors; ARB: angiotensin receptor blockers; ASA: acetylsalicylic acid; DAPT: dual antiplatelet therapy; MRA: mineralocorticoid receptor antagonist; OAT: oral anticoagulation therapy.</p

Timing (days) from diagnostic procedures to enrollment, median (IQR).

<p>Timing (days) from diagnostic procedures to enrollment, median (IQR).</p

Characteristics, treatment and quality of life of stable coronary artery disease patients with or without angina: Insights from the START study - Fig 3

<p>Domain of movement ability (panel A), body care (panel B), daily activities (panel C), pain/worry (panel D), and anxiety/depression (panel E) of the EQ 5D-5L questionnaire in patients with and without angina.</p

Baseline clinical, hemodynamic and laboratory variables of patients without and with angina.

<p>Baseline clinical, hemodynamic and laboratory variables of patients without and with angina.</p

Bioinformatics filtering algorithm.

<p>Shown are bioinformatics analysis tools used and individual and mean variant numbers at each step of filtering with resulting decrease in variant numbers at each decision step.</p