895 - Prediction of Occurrence for Surgical Site Infection in Infected Surgeries

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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.
AL

Ana Luiza Afonso Lopes

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.
DM

Daniel Jacinto Mendonça Filho

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.
JG

Julie Caldeira Gatti

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.
LM

Lígia Maria Ottoni Mol

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 Paula Dias Santana

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)

Mateus Veloso Souto

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)

PV

Priscila Vieira

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: A survey was carried out in five hospitals, between July 2016 and June 2018, on surgical site infection (SSI) in patients undergoing infected surgery procedures, in the city of Belo Horizonte (3,000,000 inhabitants). The general 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. Such data is used in the analysis during your routine SSI surveillance procedures. 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 and; an assessment 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 1770 records, 810 were intact for analysis. It was found that: the average age is 53 years old (from 0 to 98 years old); the surgeries had an average time of approximately 140 minutes; the average hospital stay is 19 days, the death rate reached 10.86% and the SSI rate was 6.04%. A maximum prediction power of 0.729 was found.

Conclusion: There was a loss of 54% 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 five hospitals. The predictive process, presented some configurations with results that reached 0.729, which promises the use of the structure for the monitoring of automated SSI for patients submitted to infected surgeries. 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 another for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br.