Estimating the Timeframe of Lactate Reduction in Acute Cardiovascular Disease Using Functional Data Analysis Based on...

Area of Science:

• Cardiology
• Intensive Care Medicine
• Biostatistics

Background:

• Lactate level monitoring is crucial for acute cardiovascular disease prognosis.
• Lactate reduction trends offer insights into patient condition evaluation.
• Specific cardiovascular diseases may exhibit distinct lactate clearance patterns.

Purpose of the Study:

• To estimate the timeframe of lactate reduction in patients with acute heart failure, aortic dissection, and ischemic heart disease.
• To analyze lactate level trends using functional data analysis and nonlinear mixed effects models.
• To provide data for developing tailored treatment plans based on disease-specific lactate reduction rates.

Main Methods:

• Functional data analysis with nonlinear mixed effects models was employed.
• Lactate trends were analyzed in 1,249 adult patients diagnosed with acute heart failure, aortic dissection, or ischemic heart disease.
• Data were collected from patients admitted to intensive care units between December 2010 and June 2020.

Main Results:

• Lactate reduction timeframes varied significantly by cardiovascular disease.
• Acute heart failure patients showed lactate reduction in 30 hours (95% CI, 23-37 hours).
• Aortic dissection patients required 40 hours (95% CI, 33-47 hours) for lactate reduction.
• Ischemic heart disease patients exhibited the longest lactate reduction timeframe at 95 hours (95% CI, 49-failed estimate).

Conclusions:

• The study successfully estimated disease-specific lactate reduction timeframes in cardiovascular patients.
• Recognizing these differences can inform the development of personalized treatment strategies.
• Understanding lactate kinetics is vital for optimizing patient outcomes in critical cardiovascular conditions.