Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts - Report - MDSpire
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Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts
Clinical Report: Enhancing Healthcare Resource Management in Pyogenic Liver Abscess
Overview
This study identifies admission high-density lipoprotein cholesterol (HDL-C) as a predictor of hospital stay duration in patients with pyogenic liver abscess (PLA). A dual-threshold model combining HDL-C and C-reactive protein (CRP) effectively flags patients at risk for prolonged hospitalization.
Background
Pyogenic liver abscess (PLA) is a significant intra-abdominal infection associated with high morbidity and prolonged hospital stays. Identifying patients at risk for extended hospitalization can enhance resource management and improve patient outcomes. Current clinical tools for predicting hospitalization duration are limited, highlighting the need for effective biomarkers like HDL-C.
Data Highlights
Parameter
Value
Sample Size (PLA Cohort)
138
Sample Size (MIMIC-IV)
38
Sample Size (NHANES)
9,226
R² for Nomogram
≈0.66
RMSE for Nomogram
≈6.4 days
Key Findings
Lower HDL-C levels are independently associated with longer hospital stays in PLA patients.
A dual-threshold of HDL-C < 1.03 mmol/L and CRP > 1.0 mg/dL identifies a high-risk subgroup for prolonged hospitalization.
The nomogram combining HDL-C, abscess size, and sepsis shows good predictive performance.
CRP mediates a small proportion of the association between HDL-C and length of stay.
Findings were validated across multiple external datasets, indicating generalizability.
Clinical Implications
Clinicians should consider admission HDL-C and CRP levels when assessing PLA patients to identify those at risk for prolonged hospitalization. Early identification may facilitate closer monitoring and timely interventions, potentially improving patient outcomes and resource allocation.
Conclusion
The study underscores the utility of admission HDL-C and CRP in predicting hospitalization duration for PLA patients, advocating for their integration into clinical practice for better resource management.