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CONUT

The CONUT score is a laboratory-based nutrition assessment tool that grades undernutrition severity using serum albumin, total cholesterol, and lymphocyte count-derived points. Higher scores indicate worse nutritional status and increased adverse-outcome risk.

Formula: CONUT total = sum of component points from albumin, cholesterol, and lymphocyte count (0-12).

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How It Works

1

Obtain Three Laboratory Values

Collect serum albumin (g/dL), total lymphocyte count (cells/uL), and total cholesterol (mg/dL) from a standard blood draw. These three values are available on most routine hospital chemistry and complete blood count panels, making CONUT calculable from standard admission labs.

2

Score Each Component

Albumin: 3.5+ g/dL = 0 pts, 3.0-3.49 = 2 pts, 2.5-2.99 = 4 pts, below 2.5 = 6 pts. Lymphocytes: 1600+/uL = 0 pts, 1200-1599 = 1 pt, 800-1199 = 2 pts, below 800 = 3 pts. Cholesterol: 180+ mg/dL = 0 pts, 140-179 = 1 pt, 100-139 = 2 pts, below 100 = 3 pts. Sum for total 0-12.

3

Classify Nutritional Status and Act

Interpret: 0-1 = normal, 2-4 = mild undernutrition, 5-8 = moderate undernutrition, 9-12 = severe undernutrition. Higher scores are associated with worse clinical outcomes across medical, surgical, oncology, and cardiology populations. Moderate to severe scores should trigger dietitian referral.

Who Uses the CONUT

Automated Hospital Malnutrition Screening

Dietitians & Hospital Information Teams

Because CONUT uses standard lab values that are routinely ordered at admission, it can be automated in electronic health records to flag high-risk patients without requiring manual screening. This enables population-level malnutrition surveillance across entire hospital cohorts.

Cardiac Surgery Pre-Operative Assessment

Cardiac Surgery Teams

CONUT has been extensively validated in cardiac surgery patients where pre-operative malnutrition is a strong independent predictor of post-operative mortality, atrial fibrillation, prolonged ventilation, and intensive care stay. Patients with CONUT 5+ benefit from pre-operative nutrition optimization.

Oncology Treatment Tolerance Prediction

Oncologists & Oncology Nurses

Malnutrition in cancer patients reduces chemotherapy tolerance, increases toxicity, and worsens survival. CONUT provides an objective, lab-based nutritional risk score at cancer diagnosis and before chemotherapy cycles to identify patients needing nutritional support during treatment.

Liver Disease Prognosis

Hepatology & Gastroenterology Teams

CONUT is validated in liver cirrhosis and hepatocellular carcinoma populations where malnutrition profoundly affects prognosis and transplant candidacy. It complements liver-specific scores (MELD, Child-Pugh) with an objective nutritional dimension.

Research Endpoint and Cohort Stratification

Clinical Researchers

CONUT is widely used as a baseline stratification variable and outcome measure in clinical trials and observational studies because it is reproducible, requires no additional testing, and has established prognostic associations across multiple disease categories.

Pro Tips

1

Inflammation Affects All Three Components

Albumin falls as an acute-phase reactant; lymphocyte count decreases with systemic stress; cholesterol may change with metabolic inflammation. All three CONUT components can be affected by acute illness independently of nutritional intake. Always consider clinical context when interpreting CONUT in acutely ill patients.

2

CONUT Is Best Used in Stable Patients for Prognostication

CONUT's prognostic accuracy is highest when measured in patients who are clinically stable or at defined time points (pre-operative, cancer staging visit). Measuring during acute illness may inflate CONUT and not accurately reflect true nutritional status.

3

Cholesterol Component Has Dual Interpretation

Low total cholesterol in CONUT reflects undernutrition in most older adults. However, in patients on statins or with familial hypocholesterolemia, low cholesterol may not reflect malnutrition. Review the medication list when the cholesterol component is unexpectedly elevated.

4

Lymphopenia Has Multiple Causes

Low lymphocyte counts in CONUT reflect impaired immune-nutritional status, but lymphopenia also occurs with corticosteroid therapy, immunosuppression, viral infections, and hematological malignancy. Document these confounders when CONUT is elevated predominantly due to lymphopenia.

5

Compare with Clinical Nutrition History

CONUT quantifies objective nutritional risk but does not characterize dietary intake, food access, or swallowing function. Pair with a brief dietary history, weight history, and appetite assessment (SNAQ or MNA) to understand the cause of nutritional risk before planning intervention.

6

Serial CONUT Monitoring Tracks Intervention Effectiveness

Repeating CONUT after 2-4 weeks of nutrition intervention allows objective assessment of treatment response. Improving albumin, lymphocyte count, and cholesterol toward normal ranges confirm nutritional rehabilitation. Persistent high scores suggest inadequate intake or ongoing inflammatory burden.

7

Document Results with Reference Ranges Used

CONUT thresholds were defined using specific reference ranges. Document which laboratory reference values were used when applying CONUT across different clinical settings or international contexts where unit conventions differ (e.g., cholesterol in mmol/L vs mg/dL).

8

Integrate CONUT in Multidisciplinary Nutrition Rounds

CONUT provides a quick, objective nutritional risk summary for multidisciplinary team discussions. Presenting CONUT alongside functional status, swallowing assessment, and dietary intake data allows efficient prioritization of patients needing intensive nutrition support.

Common Questions About Your Results

Evidence-Based Methodology

CONUT has extensive prognostic validation across older-adult and chronic disease cohorts.

Clinical Content Trust

Last reviewed:
April 21, 2026
Guideline version:
General evidence framework v2026.04
Source set version:
Primary-source set v1

How to Interpret Your Result

Higher CONUT scores indicate greater undernutrition burden and support intensified nutrition management.

When to Use This Tool

Use when laboratory data are available and objective undernutrition-risk stratification is needed.

Limitations

Inflammation, fluid status, and non-nutritional lab disturbances can affect component values.

For related assessments, see GNRI, MNA-SF and MNA Full.

Disclaimer: This tool is for educational and informational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with questions about your health.

Changelog

  1. April 21, 2026 · trust-baseline

    Clinical trust metadata enabled for this tool page with structured review/version fields.

Frequently Asked Questions