Metabolic Score for Insulin Resistance (METS-IR)
Predicts risk of type 2 diabetes in previously undiagnosed patients.
287 entries · Page 6 of 10
Predicts risk of type 2 diabetes in previously undiagnosed patients.
Predicts survival for patients with HCC.
Predicts risk of DVT in patients with peripherally inserted central catheter (PICC).
Assess suitability of patients for liver transplant with cirrhosis and hepatocellular carcinoma, recommended by AASLD guidelines .
Stratifies severity of dyspnea in respiratory diseases, particularly COPD.
Determines the degree of illness of a patient.
Provides improved cancer prognosis over the original score , based on serum biomarkers.
Shortened, validated version of the NIHSS.
Measures treatment response, specifically to cytotoxic drugs, based on tumor shrinkage.
Predicts ICU mortality using mostly clinical variables and fewer labs (similar to SOFA Score ).
Stratifies severity of depressive episodes in adults.
Classifies severity of Crohn's disease and ulcerative colitis.
Calculates total daily morphine milligram equivalents.
Predicts 90-day mortality in patients with viral pneumonia.
Diagnoses multiple myeloma, according to the International Myeloma Working Group (IMWG).
Predicts disease response in multiple myeloma, from the International Myeloma Working Group (IMWG).
Determines the degree of illness of a patient and prompts critical care intervention.
Determines the degree of illness of a patient and prompts critical care intervention (recommended by NHS over original NEWS).
Rules out need for chest x-ray in chest pain patients (non-traumatic).
Quantifies stroke severity and monitors for neurological changes over time.
Diagnoses Alzheimer disease (AD), alternative to IWG-2 Criteria .
Quantifies pain in patients unable to speak (due to intubation, dementia, etc).
Quantifies malnutrition, validated in many populations.
Readmission and adverse event risk in patients with acute lower GI bleeding.
Predicts bleeding risk in patients on anticoagulation for afib, similar to HAS-BLED .
Predicts 30-day mortality or serious adverse events (MI, intubation, etc) in ED patients with COPD.
Quantifies severity of peripheral neuropathy.
Predicts outcomes, especially in pediatric patients; helps determine need for ECMO.
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