907 - Technology and Medicine: Prediction of Surgical Site Infection in Clean Surgeries using Artificial Neural Networks

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Co-Author(s)

FS

Flávio Henrique Batista de Souza

Professor (PhD)
Centro Universitário de Belo Horizonte
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Braulio Roberto Gonçalves Marinho Couto

Professor (PhD)
Centro Universitário de Belo Horizonte
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
FC

Felipe Leandro Andrade da Conceição

Professor (PhD)
Centro Universitário de Belo Horizonte
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
GS

Gabriel Henrique Silvestre da Silva

Student
Centro Universitário de Belo Horizonte
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
ID

Igor Gonçalves Dias

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
RR

Rafael Vieira Magno Rigueira

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
GP

Gustavo Maciel Pimenta

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
MM

Maurilio B. Martins

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
JM

Júlio César O. Mendes

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
GJ

Guilherme Brangioni Januário

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
RO

Rayane Thamires Oliveira

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
LV

Laura Ferraz de Vasconcelos

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Laís L. de Araújo

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
AR

Ana Clara Resende Rodrigues

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
CS

Camila Morais Oliveira E Silva

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
ES

Eduarda Viana De Souza

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
JM

Júlia Faria Melo

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
MS

Maria Cláudia Assunção De Sá

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
WS

Walquíria Magalhães Silva

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
BB

Bruno Araujo Brant

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
FC

Flavia Cristina Barbosa Carneiro

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
MF

Maria Luiza Friche Passos Ferreira

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Presenting Author(s)

Nathália Trindade de Abreu Oliveira

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Co-Author(s)

NC

Nayara de Almeida Costa

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.
VT

Vanessa de Carvalho Tonaco

Student
Centro Universitário de Belo Horizonte UNIBH
Belo Horizonte, Minas Gerais, Brazil
Disclosure: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Background: In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms.

Methods: Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital Infection Control. So, three procedures were performed: a treatment of the collected database for use of intact samples; a statistical analysis on the profile of the collected hospitals; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction. The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve - ranging from 0 to 1) presented for each of the configurations.

Results: From 45,990 records, 12,811 were able for analysis. The statistical analysis results were: the average age is 49 years old (predominantly between 30 and 50); the surgeries had an average time of 134.13 minutes; the average hospital stay is 4 days (from 0 to 200 days), the death rate reached 1% and the SSI 1.49%. A maximum prediction power of 0.742 was found.

Conclusion: There was a loss of 60% of the database samples due to the presence of noise. However, it was possible to have a relevant sample to assess the profile of these six hospitals. The predictive process, presented some configurations with results that reached 0.742, what promises the use of the structure for the monitoring of automated SSI for patients submitted to surgeries considered clean. To optimize data collection, enable other hospitals to use the prediction tool and minimize noise from the database, two mobile application were developed: one for monitoring the patient in the hospital and other for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br.