Background: Heart failure (HF) manifests diversely, with albuminuria potentially marking worse prognosis. This study explores the relationship between albuminuria and the clinical profile of HF.
Methods: A prospective study was conducted from May 2023 to November 2024 at a tertiary care medical college hospital in Bangalore. A total of 64 HF patients were enrolled, including those with preserved, midrange, and reduced ejection fractions. Patients were assessed for albuminuria using the urine albumin/creatinine ratio and categorized into normoalbuminuria (<30 mg/g), microalbuminuria (30-299 mg/g), and macroalbuminuria (≥300 mg/g).
Results: Among the 64 HF patients, 37.5% had new-onset HF, and 62.5% had worsening HF. Patients had 23.4% reduced EF, 39.1% had midrange EF, and 37.5% had preserved EF. 46.9% of patients had microalbuminuria and 45.3% had macroalbuminuria. Patients with preserved EF were significantly associated with macroalbuminuria (p=0.0014) and patients with midrange EF had statistically significant microalbuminuria (p=0.0018). Patients with NYHA class IV had significantly higher macroalbuminuria (52.9%, p=0.0231). Patients with history of Diabetes mellitus, hypertension, and myocardial infarction were significantly associated with albuminuria (p<0.05). Basilar rales, peripheral oedema, hepatomegaly (p=0.0039), orthopnea, and jugular venous distension were significantly more common in patients with macroalbuminuria (p<0.05).
Conclusion: Albuminuria may serves as a marker of clinical congestion and severity of heart failure, highlighting the importance of assessing albuminuria in the clinical management of HF.
OBJECTIVES
MATERIALS AND METHODS
Inclusion Criteria: The study included heart failure patients with preserved, midrange, and reduced ejection fractions
Exclusion Criteria: Patients with End-stage renal disease, Sepsis , UTI, COPD, Age less than 18 years were excluded from the study
Table 1: Distribution of New onset HF and Worsening HF
HF Onset |
Number |
% |
New onset |
24 |
37.5% |
Worsening |
40 |
62.5% |
Table 2: Types of HF
HF Type |
Number |
% |
Reduced EF (<40%) |
15 |
23.4% |
Midrange EF (40-50%) |
25 |
39.1% |
Preserved EF (>50%) |
24 |
37.5% |
Table 3: Albuminuria classification
Albuminuria |
Number |
% |
Normoalbuminuria |
5 |
7.8% |
Microalbuminuria |
30 |
46.9% |
Macroalbuminuria |
29 |
45.3% |
Table 4: Types of HF vs Albuminuria classification
HF Type |
Normoalbuminuria |
Microalbuminuria |
Macroalbuminuria |
p-value |
Reduced EF (<40%) |
2 (13.3%) |
6 (40.0%) |
7 (46.7%) |
0.0150 |
Midrange EF (40-50%) |
2 (8.0%) |
15 (60.0%) |
8 (32.0%) |
0.0018 |
Preserved EF (>50%) |
1 (4.2%) |
9 (37.5%) |
14 (58.3%) |
0.0014 |
Table 5: NYHA vs Albuminuria classification
NYHA |
Normoalbuminuria |
Microalbuminuria |
Macroalbuminuria |
p-value |
I |
1 (10.0%) |
6 (60.0%) |
3 (30.0%) |
0.7254 |
II |
2 (25.0%) |
4 (50.0%) |
2 (25.0%) |
0.4142 |
III |
1 (9.1%) |
5 (45.5%) |
5 (45.5%) |
0.5683 |
IV |
1 (2.9%) |
15 (44.1%) |
18 (52.9%) |
0.0231 |
Table 6: DM, HTN, History of MI, Smoking vs Albuminuria classification
Factor |
Normoalbuminuria |
Microalbuminuria |
Macroalbuminuria |
p-value |
Diabetes mellitus (Yes) |
2 (6.9%) |
14 (48.3%) |
13 (44.8%) |
0.0342 |
Hypertension (Yes) |
2 (6.9%) |
15 (51.7%) |
12 (41.4%) |
0.0186 |
MI history (Yes) |
1 (4.3%) |
9 (39.1%) |
13 (56.5%) |
0.0084 |
Smoking history (Current) |
2 (10.0%) |
9 (45.0%) |
9 (45.0%) |
|
Table 7: Clinical signs vs Albuminuria classification
Sign |
Normoalbuminuria |
Microalbuminuria |
Macroalbuminuria |
p-value |
Basilar_rales (Present) |
0 (0.0%) |
4 (22.2%) |
14 (77.8%) |
0.0003 |
Peripheral_oedema (Present) |
1 (3.1%) |
10 (31.3%) |
21 (65.6%) |
0.0012 |
Hepatomegaly (Present) |
1 (3.4%) |
8 (27.6%) |
20 (69.0%) |
0.0039 |
Orthopnea (Yes) |
0 (0.0%) |
5 (25.0%) |
15 (75.0%) |
0.0021 |
JVD (Present) |
1 (3.2%) |
10 (32.3%) |
20 (64.5%) |
0.0019 |
Table 8: BMI vs Albuminuria classification
BMI Category |
Normoalbuminuria |
Microalbuminuria |
Macroalbuminuria |
p-value |
Underweight |
1 (12.5%) |
5 (62.5%) |
2 (25.0%) |
0.5712 |
Normal weight |
3 (10.3%) |
14 (48.3%) |
12 (41.4%) |
|
Overweight |
0 (0.0%) |
8 (50.0%) |
8 (50.0%) |
|
Obese |
1 (9.1%) |
3 (27.3%) |
7 (63.6%) |
|