Dijagnostička i prognostička vrednost serumske laktat dehidrogenaze i amilaze u teškom akutnom pankreatitisu: klinička procena zasnovana na biohemiji

Serum LDH i AMI kao biohemijski prediktori SAP-a

  • Jie Zheng Kuzhou Povezana bolnica Medicinskog univerziteta Uenzhou, Kuzhou Narodna bolnica
  • Jin Wang Kuzhou Povezana bolnica Medicinskog univerziteta Uenzhou, Kuzhou Narodna bolnica
  • Yinong Zhou Kuzhou Povezana bolnica Medicinskog univerziteta Uenzhou, Kuzhou Narodna bolnica
  • Tingting Yu Kuzhou Povezana bolnica Medicinskog univerziteta Uenzhou, Kuzhou Narodna bolnica
DOI: https://doi.org/10.5937/jomb0-63403

Sažetak


Summary

Background: Severe acute pancreatitis (SAP) is characterized by extensive acinar-cell injury, metabolic dysregulation, and systemic inflammatory activation. Reliable biochemical markers for early risk stratification remain limited. Lactate dehydrogenase (LDH) and amylase (AMY), routinely measured enzymes reflecting cellular damage and pancreatic exocrine dysfunction, may provide prognostic value. To evaluate the diagnostic performance of serum LDH and AMY in identifying SAP and predicting short-term outcomes.

Methods: This retrospective study included 200 patients with acute pancreatitis. Serum LDH and AMY were measured on admission using standardized clinical chemistry assays with internal quality control. Patients were categorized as MAP, MSAP, or SAP, and SAP cases were further stratified into good and poor 2-week prognosis groups. Logistic regression and ROC analyses were used to determine the predictive value of LDH and AMY.

Results: LDH and AMY levels increased significantly with disease severity (P<0.05). Both biomarkers were independent predictors of SAP (LDH OR=1.644; AMY OR=1.670) and poor prognosis (LDH OR=1.684; AMY OR=1.730). Combined LDH+AMY demonstrated superior predictive accuracy for SAP (AUC=0.854) and short-term poor prognosis (AUC=0.884), outperforming individual markers.

Conclusions: Serum LDH and AMY are clinically valuable biochemical indicators for early identification of SAP and prediction of short-term outcomes. Their combined use significantly enhances diagnostic accuracy, supporting their integration into early biochemical risk assessment models.

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Objavljeno
2026/01/30
Broj časopisa
Ahead of print
Rubrika
Original paper

Sva prava zadržana (c) 2026 Jie Zheng, Jin Wang, Yinong Zhou, Tingting Yu

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