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Serum lactate level predict mortality in elderly patients with cirrhosis
Adnan Tas1, Erdem Akbal, Yavuz Beyazit
1Department of Gastroenterology, Osmaniye Public Hospital, Raufbey Mahallesi, Osmaniye, Turkey. dradnantas@gmail.com
Lactate levels and APACHE II scores are strong predictors of mortality in elderly cirrhotic patients admitted to the intensive care unit (ICU). These findings can help improve prognosis assessment for this vulnerable patient group.
Area of Science:
- Critical Care Medicine
- Hepatology
- Geriatric Medicine
Background:
- Elderly patients with cirrhosis admitted to the intensive care unit (ICU) often experience multi-organ failure, leading to poor outcomes.
- Cirrhosis patients have higher morbidity and mortality rates in the ICU compared to other critically ill individuals.
- Existing severity scores aid in assessing cirrhotic patients in the ICU.
Purpose of the Study:
- To evaluate the predictive value of lactate levels for mortality in elderly cirrhotic patients admitted to the ICU.
- To compare various severity scores and lactate levels between patients who survived and those who deceased.
Main Methods:
- Confirmed cirrhosis diagnoses through histological, clinical, laboratory, and ultrasonographic findings.
- Collected data on Child-Turcotte-Pugh (CTP), Model for End-stage Liver Disease (MELD), Acute Physiology and Chronic Health Evaluation (APACHE II), Sequential Organ Failure Assessment (SOFA) scores, and lactate levels.
- Compared these parameters between deceased and discharged patients.
Main Results:
- Hepatorenal syndrome and spontaneous bacterial peritonitis were more prevalent in non-survivors.
- Lactate level, CTP, APACHE II, MELD, and SOFA scores were significantly higher in patients who died.
- All tested severity scores and lactate levels showed significant predictive value for mortality.
Conclusions:
- Lactate level and APACHE II score demonstrated the strongest prognostic value.
- These factors can aid in predicting mortality for elderly cirrhotic patients in the ICU.
- Further research may refine prognostic models for this population.
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