LACE Index Calculator – Hospital Readmission and Mortality Risk

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LACE Index Calculator

Estimate 30-day risk of death or unplanned readmission after hospital discharge.

—Score / 19
L

Length of Stay

Total length of the index hospital admission, in days.

0–7 points
Enter 0 for a stay shorter than 1 day. Use a whole number.
A

Acuity of Admission

Was the index hospital admission acute (emergent) or planned?

0–3 points
C

Charlson Comorbidity Index

Enter the patient's total Charlson Comorbidity Index score, not the number of diagnoses.

0–5 points
LACE assigns 5 points for a Charlson score of 4 or higher.
E

Emergency Department Visits

Number of ED visits during the 6 months before the index admission.

0–4 points
—LACE
Estimated 30-day composite outcome risk
Complete all fields to calculate
The score and expected risk will appear here.
Clinical interpretation Complete all four components. A higher LACE score indicates a higher expected risk of death or unplanned readmission within 30 days after discharge.

The expected probabilities are from the original Canadian derivation cohort. They may not be calibrated to other healthcare systems or patient populations.

About the LACE Index

The LACE index is a prognostic score developed to estimate the risk of early death or unplanned readmission within 30 days after discharge from hospital to the community. It combines four routinely available variables: length of stay, acuity of admission, comorbidity burden, and prior emergency department use.

The total score ranges from 0 to 19. The expected probability displayed by this calculator corresponds to the original model's score-specific estimates, not a locally recalibrated prediction.

Scoring Components

ComponentPatient valuePoints
Length of stay<1 day0
1 day1
2 days2
3 days3
4–6 days4
7–13 days5
≥14 days7
AcuityElective / planned0
Acute / emergent3
Charlson score0 / 1 / 2 / 3 / ≥40 / 1 / 2 / 3 / 5
Prior ED visits0 / 1 / 2 / 3 / ≥40 / 1 / 2 / 3 / 4

Expected 30-Day Risk in the Original Model

These are expected probabilities of death or unplanned readmission reported by van Walraven et al. (2010). They are not standalone readmission probabilities.

LACE scoreExpected riskLACE scoreExpected risk
02.0%1012.2%
12.5%1114.4%
23.0%1217.0%
33.5%1319.8%
44.3%1423.0%
55.1%1526.6%
66.1%1630.4%
77.3%1734.6%
88.7%1839.1%
910.3%1943.7%

References

van Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551–557. DOI: 10.1503/cmaj.091117.
Staples JA, Wiksyk B, Liu G, et al. External validation of the modified LACE+, LACE+, and LACE scores to predict readmission or death after hospital discharge. J Eval Clin Pract. 2021;27(6):1390–1397. DOI: 10.1111/jep.13579.
Rajaguru V, Han W, Kim TH, Shin J, Lee SG. LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis. J Pers Med. 2022;12(4):545. DOI: 10.3390/jpm12040545.

Important Limitations

  • The original derivation population consisted of cognitively intact adult medical or surgical patients discharged to the community.
  • Predictive performance may vary across populations, hospitals, and healthcare systems.
  • The original study reported moderate discrimination (external validation C-statistic 0.684).
  • The score does not identify the specific cause of a potential readmission and does not establish an individual patient's outcome.
  • Local validation and recalibration are needed before using the expected probabilities for operational decisions in a different population.
Clinical disclaimer: The LACE index is a prognostic risk-stratification instrument and should not be used as the sole basis for clinical decisions, discharge timing, level-of-care decisions, or allocation of services. Interpret the result alongside clinical assessment, functional status, social circumstances, discharge readiness, and local care pathways. The displayed expected probability is derived from the original study population and may not represent the actual risk in an individual patient or another healthcare setting.