| Literature DB >> 32812917 |
Maria Salourou1, Stefanos Archontakis1, Skevos Sideris2, Ioannis Parisis3, Gerasimos Siasos1, Evaggelos Oikonomou1, Konstantinos Mourouzis1, Konstantinos Sideris2, Christodoulos Stefanadis1, Dimitrios Tousoulis1.
Abstract
BACKGROUND/Entities:
Keywords: Coffee consumption; Depression in heart failure; Diet in heart failure; Heart failure; Mediterranean diet
Year: 2019 PMID: 32812917 PMCID: PMC7424785 DOI: 10.1016/j.metop.2019.03.001
Source DB: PubMed Journal: Metabol Open ISSN: 2589-9368
Demographic and clinical characteristics of the study population.
| Variable | |
|---|---|
| Age (years) | 73.45 ± 10.9 |
| BMI (kg/m2) | 26.89 ± 5.2 |
| EF (%) | 32.28 ± 3 |
| Male (% of patients) | 72.41% |
| BP (% of patients) | 49.16% |
| DM (% of patients) | 39.77% |
| Dyslipidemia (% of patients) | 82.24% |
| Smoking (% of patients) | 56.91% |
| Family History (% of patients) | 21.47% |
| History of AMI (% of patients) | 19.32% |
| History of CABG (% of patients) | 6.41% |
BMI: Body Mass Index, EF: Ejection Fraction, ABP: Arterial Blood Pressure, DM: Diabetes Mellitus, AMI: Acute Myocardial Infarction, CABG: Coronary Artery Bypass Grafting.
Socio-economic data, dietary habits and psychometric scales of study population.
| Variable | ||
|---|---|---|
| Accommodation in owned residence | 85.6% | |
| Area of residence (m2) | 84.2 ± 2.5 | |
| Personal income status/classification | Low | 46.7% |
| Middle | 38.7% | |
| High | 14.6% | |
| Nocturnal sleep (hours) | 5.82 ± 1.71 | |
| Midday sleep/midday nap/afternoon nap (hours) | 1.15 ± 1.00 | |
| Television watching (hours) | 3.01 ± 2.56 | |
| HADS Anxiety Score | 8.93 ± 3.03 | |
| HADS Depression Score | 6.49 ± 4.51 | |
| Food portion size (small −1, normal-2, large −3) | 1.78 ± 0.08 | |
| Fast-food consumption (portion/week) | 0.22 ± 0.04 | |
| Dairy products consumption (portion/day) | 1.02 ± 0.06 | |
| Bread consumption (portion/day) | 2.26 ± 2.11 | |
| Coffee drinking (%) | 61.9 | |
| Coffee drinking (cups/day) | 1.30 ± 0.07 | |
| Greek coffee (%) | 61.5 | |
| Instant (soluble) coffee/Cappuccino (%) | 11.7 | |
| Filter coffee (%) | 9.3 | |
| Tea drinking (cups/day) | 0.33 ± 0.64 | |
| Refreshments' dinking (glasses/per day) | 0.34 ± 1.14 | |
| Alcohol intake (glasses/per day %) | 0 | 44.1 |
| 0–1 | 39.7 | |
| 1–2 | 9.2 | |
| 3–4 | 5.4 | |
| >4 | 1.7 | |
| Preferable alcohol drink (%) | White wine | 16.8 |
| Red wine | 58.7 | |
| Whiskey | 2.6 | |
| Beer | 3.2 | |
| Ouzo | 5.8 | |
| Other | 12.9 | |
| Olive oil consumption (%) | 98.4% | |
| Seed oil consumption (%) | 5.8% | |
| Butter consumption (%) | 9.7% | |
| Margarine consumption (%) | 1.7% | |
HADS: Hospital Anxiety and Depression Scale.
Differences in socio-economic parameters, dietary habits and psychometric scales between patients achieving study's endpoint and patients who did not.
| Alive in follow-up | Death in follow-up | P | |
|---|---|---|---|
| (n = 297) | (n = 29) | ||
| Male, n (%) | 227 (76.6) | 11 (37.9) | P < 0.0001 |
| Age (years) | 72.3 ± 0.7 | 82.1 ± 1.7 | P < 0.0001 |
| BMI (kg/m2) | 26.84 ± 0.97 | 26.84 ± 4.88 | p = 0.31 |
| EF (%) | 32.48 ± 4 | 31.98 ± 4 | p = 0.59 |
| BP (%) | 47.46 | 51.23 | p = 0.47 |
| DM (%) | 40.71 | 36.41 | P = 0.63 |
| Dyslipidemia (%) | 80.4 | 85.7 | P = 0.36 |
| Smoking (%) | 57.11 | 52.1 | P = 0.28 |
| Family History (%) | 21.27 | 21.60 | P = 0.86 |
| History of AMI (%) | 18.96 | 23.20 | P = 0.55 |
| History of CABG (%) | 6.26 | 6.89 | P = 0.92 |
| Private residence (YES) | 84.6 | 92.1 | p = NS |
| Area of residence (m2) | 84.1 ± 2.7 | 84.5 ± 7.7 | p = NS |
| Personal income status (%) | |||
| Low | 46.2 | 50.0 | |
| Middle | 39.6 | 46.4 | |
| High | 14.3 | 3.6 | p = NS |
| Nocturnal sleep (hours) | 5.78 ± 0.10 | 5.64 ± 0.32 | p = NS |
| Midday sleep/midday nap/afternoon nap (hours) | 1.15 ± 0.06 | 1.18 ± 0.17 | p = NS |
| Television watching (hours) | 2.89 ± 0.15 | 3.96 ± 0.67 | p = 0.0001 |
| HADS Anxiety Score | 9.21 ± 2.05 | 7.03 ± 0.88 | p = NS |
| HADS Depression Score | 6.44 ± 0.27 | 8.62 ± 0.94 | p < 0.05 |
| Bread consumption (slices/day) | 2.18 ± 0.14 | 2.00 ± 0.30 | p = NS |
| Fast-food consumption (portion/week) | 0.21 ± 0.05 | 0.24 ± 0.15 | p = NS |
| Dairy products consumption (portion/day) | 1.01 ± 0.06 | 1.11 ± 0.11 | p = NS |
| Olive oil consumption (%) | 98.5 | 100 | |
| Seed oil consumption (%) | 5.6 | 3.4 | |
| Butter consumption (%) | 9.3 | 6.3 | |
| Margarine consumption (%) | 1.6 | 3.4 | |
| Beverage consumption (glasses/day) | 0.32 ± 0.07 | 0.62 ± 0.28 | p = NS |
| Alcohol intake (glasses/day) | 0.84 ± 0.06 | 0.67 ± 0.13 | p = NS |
| White wine (%) | 16.2 | 23.1 | p = NS |
| Red wine (%) | 59.9 | 46.2 | |
| Whiskey (%) | 2.8 | 0 | |
| Beer (%) | 3.5 | 0 | |
| Ouzo (%) | 6.3 | 0 | |
| Other(%) | 10.2 | 30.8 | |
| Coffee drinking (cups/day) | 1.38 ± 0.08 | 0.64 ± 0.11 | p = 0.0001 |
| Greek coffee (%) | 61.8 | 58.6 | |
| Instant(soluble) coffee/Cappuccino (%) | 12.6 | 3.4 | |
| Filter coffee (%) | 9.9 | 3.4 | |
| Tea drinking (cups/day) | 0.32 ± 0.04 | 0.21 ± 0.07 | p = NS |
BMI: Body Mass Index, EF: Ejection Fraction, ABP: Arterial Blood Pressure, DM: Diabetes Mellitus, AMI: Acute Myocardial Infarction, CABG: Coronary Artery Bypass Grafting, HADS: Hospital Anxiety and Depression Scale.
Cox proportional hazard regression for risk of death.
| Variables | B | ΟR | 95.0% Confidence intervals | P |
|---|---|---|---|---|
| Gender (Female = 0) | −0.68 | 0.505 | 0.215–1.185 | 0.11 |
| Age | 0.06 | 1.06 | 1.02–1.11 | 0.004 |
| HADS Score (HADS Score ≤ 7 = 0) | 0.09 | 1.10 | 1.01–1.20 | 0.03 |
| Coffee drinking (<2 cups/day = 0) | −0.41 | 0.66 | 0.38–1.12 | 0.12 |
HADS: Hospital Anxiety and Depression Scale.
Fig. 1HADS Depression score and HADS Anxiety score comparison between patients who died and those who survived during follow-up.
Fig. 2Univariate analysis of the effect of coffee consumption in patients' survival (p = 0.0001).
Fig. 3Univariate analysis of the effect of depression in patients' survival (p < 0.05).
Fig. 4Lack of prognostic value of alcohol consumption for any cause hospital readmission (p = ns) (A), lack of prognostic value of high fat/low carbohydrates diet for any cause hospital readmission (p = ns) (B) and favourable prognostic effect of low fat meat consumption at any cause hospital readmission (p = 0.035) (C).