The University of Southampton
University of Southampton Institutional Repository

A clinical prediction rule for nerve-function impairment in leprosy patients

A clinical prediction rule for nerve-function impairment in leprosy patients
A clinical prediction rule for nerve-function impairment in leprosy patients
Background

Nerve-function impairment (NFI) commonly occurs during or after chemotherapy in leprosy and is the key pathological process leading to disability and handicap. We describe the development of a simple clinical prediction rule for estimating the risk of NFI occurrence.

Methods

New leprosy cases who presented to a centre in Bangladesh were recruited and followed up for 2 years in a field setting. We used multivariable regression analysis by Cox's proportional hazards model to identify predictive variables for NFI. Discriminative ability was measured by a concordance statistic. Internal validity was assessed with bootstrap resampling techniques.

Findings

2510 patients were followed up for 2 years, 166 developed NFI. A simple model was developed with leprosy group (either paucibacillary leprosy [PB] or multibacillary leprosy [MB]) and the presence of any nerve-function loss at registration as predictive variables. Patients with PB leprosy and no nerve-function loss had a 1·3% (95% Cl 0·8–1·8%) risk of developing NFI within 2 years of registration; patients with PB leprosy and nerve-function loss, or patients with MB leprosy and no nerve-function loss had a 16·0% (12–20%) risk; and patients with MB leprosy with nerve-function loss had a 65% (56–73%) risk.

Interpretation

Our prediction rule can be used to plan surveillance of new leprosy patients. Patients at low risk of NFI may need no follow-up beyond their course of chemotherapy (6 months); patients with intermediate risk need a minimum of 1 year of surveillance; and patients with high risk should have at least 2 years of surveillance for new NFI. Current recommendations for surveillance of patients with leprosy (for the duration of chemotherapy only) exclude an important group of patients who are at risk of developing NFI after completion of treatment.
0140-6736
1603-1606
Croft, Richard P.
479645a4-a738-4932-938a-a596a34a7f05
Nicholls, Peter G.
524cf465-2f84-41f4-9580-94abed4c3f65
Steyerberger, Ewout W.
94036510-8888-4fc2-9155-c654653c23c6
Richardus, Jan H.
f28a1309-d25f-4501-b5c9-9b7f14bd8c4c
Smith, W. Cairns S.
12c0d943-9be3-40a8-a121-54f4275d1aeb
Croft, Richard P.
479645a4-a738-4932-938a-a596a34a7f05
Nicholls, Peter G.
524cf465-2f84-41f4-9580-94abed4c3f65
Steyerberger, Ewout W.
94036510-8888-4fc2-9155-c654653c23c6
Richardus, Jan H.
f28a1309-d25f-4501-b5c9-9b7f14bd8c4c
Smith, W. Cairns S.
12c0d943-9be3-40a8-a121-54f4275d1aeb

Croft, Richard P., Nicholls, Peter G., Steyerberger, Ewout W., Richardus, Jan H. and Smith, W. Cairns S. (2000) A clinical prediction rule for nerve-function impairment in leprosy patients. The Lancet, 355 (9215), 1603-1606. (doi:10.1016/S0140-6736(00)02216-9). (PMID:10821364)

Record type: Article

Abstract

Background

Nerve-function impairment (NFI) commonly occurs during or after chemotherapy in leprosy and is the key pathological process leading to disability and handicap. We describe the development of a simple clinical prediction rule for estimating the risk of NFI occurrence.

Methods

New leprosy cases who presented to a centre in Bangladesh were recruited and followed up for 2 years in a field setting. We used multivariable regression analysis by Cox's proportional hazards model to identify predictive variables for NFI. Discriminative ability was measured by a concordance statistic. Internal validity was assessed with bootstrap resampling techniques.

Findings

2510 patients were followed up for 2 years, 166 developed NFI. A simple model was developed with leprosy group (either paucibacillary leprosy [PB] or multibacillary leprosy [MB]) and the presence of any nerve-function loss at registration as predictive variables. Patients with PB leprosy and no nerve-function loss had a 1·3% (95% Cl 0·8–1·8%) risk of developing NFI within 2 years of registration; patients with PB leprosy and nerve-function loss, or patients with MB leprosy and no nerve-function loss had a 16·0% (12–20%) risk; and patients with MB leprosy with nerve-function loss had a 65% (56–73%) risk.

Interpretation

Our prediction rule can be used to plan surveillance of new leprosy patients. Patients at low risk of NFI may need no follow-up beyond their course of chemotherapy (6 months); patients with intermediate risk need a minimum of 1 year of surveillance; and patients with high risk should have at least 2 years of surveillance for new NFI. Current recommendations for surveillance of patients with leprosy (for the duration of chemotherapy only) exclude an important group of patients who are at risk of developing NFI after completion of treatment.

Text
Risk_Factors_Paper_-_Lancet.pdf - Version of Record
Restricted to Repository staff only

More information

Published date: 6 May 2000
Organisations: Health Sciences

Identifiers

Local EPrints ID: 166977
URI: http://eprints.soton.ac.uk/id/eprint/166977
ISSN: 0140-6736
PURE UUID: c28e5647-4c09-4e7a-862b-de68e4d084cc

Catalogue record

Date deposited: 04 Nov 2010 15:35
Last modified: 15 Aug 2024 17:07

Export record

Altmetrics

Contributors

Author: Richard P. Croft
Author: Peter G. Nicholls
Author: Ewout W. Steyerberger
Author: Jan H. Richardus
Author: W. Cairns S. Smith

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×