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March 21, 2026Biomedicines0 citationsOpen Access

Prognostic Value of a Low-Cost LDH–Hemoglobin–Albumin Biomarker Panel in Acute Heart Failure: A Real-World Cohort from a Resource-Limited Setting

CACan Baba Arin

Key Result

Elevated lactate dehydrogenase levels independently predicted higher in-hospital mortality (aOR 2.84, 95% CI 1.01-8.02) in patients hospitalized with acute heart failure.

Key Points

  • To assess the prognostic value of a low-cost biomarker panel in predicting in-hospital mortality among patients with acute heart failure.
  • Retrospective analysis of hospitalized patients with acute heart failure from May 2022 to November 2024.
  • Patients aged ≥18 years were included and those with incomplete outcome data were excluded.
  • Logistic regression was used to analyze the association of LDH, hemoglobin, and albumin with in-hospital mortality.
  • 211 patients were assessed for in-hospital mortality with a rate of 10.0%.
  • Significant differences in mortality rates were found based on anemia and hypoalbuminemia status (p = 0.04).
  • Elevated LDH levels were independently associated with in-hospital mortality (adjusted odds ratio 2.84).
  • Trends indicated higher NLR and lower CALLY index levels correlated with worse outcomes, but not significantly.

Structured PICO

Does an elevated LDH level predict in-hospital mortality in adults hospitalized with acute heart failure in resource-limited settings?

P
Population
Adults (≥18 years) hospitalized with acute heart failure (AHF)
I
Intervention
Elevated lactate dehydrogenase (LDH) levels and other low-cost biomarkers (hemoglobin, albumin, NLR, CALLY index)
O
Outcome
In-hospital mortalityhard clinical

In resource-limited settings where natriuretic peptide testing is unavailable, elevated LDH serves as a practical, independent predictor of in-hospital mortality in acute heart failure.

Abstract

Background: In many low- and middle-income countries, access to advanced cardiac biomarkers such as B-type natriuretic peptide (BNP) and NT-pro BNP remains limited, posing challenges for early risk stratification in patients hospitalized with acute heart failure (AHF). Identifying simple, inexpensive, and universally available laboratory markers with prognostic value is of practical clinical importance. Methods: Consecutive patients (≥18 years) hospitalized with acute heart failure (AHF) between May 2022 and November 2024 were retrospectively analyzed. After exclusion of patients with incomplete outcome data, in-hospital mortality was assessed using logistic regression analysis. Hemoglobin, serum albumin, lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR), and the C-reactive protein–albumin–lymphocyte (CALLY) index were evaluated as potential predictors of in-hospital mortality. Results: A total of 211 patients were included in the mortality analysis, with an in-hospital mortality rate of 10.0%. Patients were stratified by anemia and hypoalbuminemia status, revealing significant differences in unadjusted mortality rates across groups (p = 0.04). However, after adjustment for age, sex, and chronic kidney disease, the prognostic impact of anemia and hypoalbuminemia was attenuated. Elevated LDH levels remained independently associated with in-hospital mortality (adjusted odds ratio 2.84, 95% confidence interval 1.01–8.02). Higher NLR values and lower CALLY index levels showed nonsignificant trends toward adverse outcomes. Conclusions: In this real-world cohort from a resource-limited setting, LDH emerged as a practical and independent predictor of in-hospital mortality in patients with AHF. When access to natriuretic peptides is limited, LDH—supported by routinely available laboratory parameters—may assist early risk stratification and clinical decision-making.

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Cite This Study

Can Baba Arin (2026) studied this question. Elevated lactate dehydrogenase levels independently predicted higher in-hospital mortality (aOR 2.84, 95% CI 1.01-8.02) in patients hospitalized with acute heart failure.

synapsesocial.com/papers/69be36bf6e48c4981c675ebahttps://doi.org/10.3390/biomedicines14030704
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Also Consider

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