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Enema of Traditional Chinese Medicine for Patients with Severe Acute Pancreatitis
Published on: January 27, 2023
Potential Associations Between CT-Derived Muscle Indices and Clinical Outcomes in Acute Pancreatitis
Selma Özlem Çelikdelen1, Zeynep Keskin2, Tevhide Şahin3
1Department of Internal Medicine, Konya City Hospital, University of Health Sciences Türkiye, 42020 Konya, Türkiye.
Computed tomography (CT)-derived muscle indices, like the psoas muscle index (PMI) and paravertebral muscle index (PvMI), can help predict severe acute pancreatitis (AP) outcomes, especially in older and female patients.
Area of Science:
- Radiology
- Gastroenterology
- Critical Care Medicine
Background:
- Acute pancreatitis (AP) is a common gastrointestinal emergency requiring early risk stratification.
- CT-derived muscle mass indices (psoas muscle index [PMI] and paravertebral muscle index [PvMI]) reflect nutritional and inflammatory status.
- Identifying high-risk AP patients early is crucial for improving outcomes.
Purpose of the Study:
- To investigate the association between CT-derived PMI and PvMI and AP severity, complications, and ICU admission.
- To evaluate the prognostic value of PMI and PvMI in age- and sex-specific subgroups.
Main Methods:
- Retrospective study of 179 AP patients.
- Measurement of psoas muscle area (PMA) and paravertebral muscle area (PvMA) at L3 on CT scans.
- Calculation of PMI and PvMI, with subgroup analyses by sex and age (≥65 years).
Main Results:
- PMI correlated with albumin, hemoglobin, and inflammatory markers.
- In women, PMI was independently associated with complicated AP (aOR=0.655).
- In patients ≥65 years, PvMI was independently associated with ICU requirement (aOR=0.780).
- Optimal cutoffs: PMI ≤ 4.04 cm²/m² for complicated AP (AUC=0.641), PvMI ≤ 18.88 cm²/m² for ICU need (AUC=0.684).
Conclusions:
- CT-derived muscle indices (PMI, PvMI) show potential as prognostic markers in AP.
- These indices may help identify high-risk patients, particularly older and female individuals.
- Further validation in larger prospective cohorts is recommended for timely interventions.
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