LACE index - Evidencio

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The LACE index uses 4 variables to predict the risk of death or urgent readmission within 30 days after hospital discharge among medical and surgical patients: length of hospital stay (L), acuity of admission (A), comorbidity (C) and emergency department utilization in the 6 months before admission (E).

Clinical indication
The LACE index is intended for patients about to be discharged from the medical or surgery wards into the community.

Contra-indications
The LACE index is not intended for use outside of the medical and surgery wards, or for patients not being discharged to the community.

Research authors: Carl van Walraven, Irfan A. Dhalla, Chaim Bell, Edward Etchells, Ian G. Stiell, Kelly Zarnke, Peter C. Austin, Alan J. Forster

Version: 1.28

Public
Unspecified
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V-1.28-2906.24.05.31

(01)08720938015014(8012)v1.28(4326)240531(240)2906

Download the User manual for Medical device prediction models and consult the Intended purpose.

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Model author

T. A. Hueting

Model ID

10443

Version

1.28

Revision date

2024-05-31

Specialty

Unspecified

Model type

Linear model ^{(Calculation)}

MeSH terms

No MeSH classifications added

Status

Public

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Condition	Formula

Study characteristics

Additional information

In a prospective cohort study, 48 patient-level and admission-level variables were collected for 4812 medical and surgical patients who were discharged to the community from 11 hospitals in Ontario. A split-sample design to derive and validate an index to predict the risk of death or nonelective readmission within 30 days after discharge was used. This index was externally
validated using administrative data in a random selection of 1 000 000 Ontarians discharged from hospital between 2004 and 2008.

Study Population

Total population size: 4812

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Continuous characteristics

Name	Mean	SD	Unit
Age at index admission	61.3	17.0	Year

Name	LL	Q1	Median	Q3	UL	Unit
length of stay		2	5	8		Days
Medications at discharge		2	4	7		days

Categorical characteristics

Name	Subset / Group	Nr. of patients
Patient variable	Living alone	1127
Patient variable	Dependent for one or more ADL	323
Patient variable	Has regular physician	4580
Admission variable	Medical care	2160
Admission variable	emergent admission	2796
Admission variable	emergent surgery during admission	391
Season at discharge	Spring	1722
Season at discharge	Summer	1008
Season at discharge	Autumn	830
Season at discharge	winter	1252

Supporting Publications

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Extra Information

	Evidencio B.V., Irenesingel 19, 7481 GJ Haaksbergen, The Netherlands
	V-1.28-2906.24.05.31
	(01)08720938015014(8012)v1.28(4326)240531(240)2906
	Decomplix AG, Freiburgstrasse 3, 3010 Bern, Switzerland
	Download the User manual for Medical device prediction models
	Medical device

Download the Declaration of conformity

This model has been certified as a medical device

V-1.28-2906.24.05.31

Medical Devices

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Study characteristics

Additional information

Study Population

Continuous characteristics

Categorical characteristics

Supporting Publications

Related files

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