Prediction of HCV vertical transmission: what factors should be optimized using data mining computational analysis

Elrazek, Abd Elrazek M.A. Abd; Amer, Mohamed; El-Hawary, Bahaa; Salah, Altaher; Bhagavathula, Akshaya Srikanth; Alboraie, Mohamed; Saab, Samy

doi:10.1111/liv.13146

Cited by 21 publications

(19 citation statements)

References 21 publications

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“…Using data mining in applied medicine is important to predict factors lead to disease progression or regression in an intelligent technology fashion. [ 18 ] The aim of this study was to investigate LSM and spleen diameter as simple, cheap and non-invasive tools for prediction of EV in CHC patients.…”

Section: Introductionmentioning

confidence: 99%

Liver stiffness measurement and spleen diameter as predictors for the presence of esophageal varices in chronic hepatitis C patients

et al. 2017

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Although it is an invasive and unpleasant procedure, esophagogastroduodenoscopy (EGD) is still the gold standard for esophageal varices (EV) detection. The aim of this study was to investigate liver stiffness measurement (LSM) and spleen diameter as simple noninvasive tools for EV prediction in chronic hepatitis C patients (CHC).A total of 123 Egyptian patients with CHC have been included and were classified based on screening EGD result into 2 groups; group A (without EV) and group B (with EV). Group (B) was subclassified according to EV grade into 4 subgroups: (B1, grade I), (B2, grade II), (B3, grade III), and (B4, grade IV). LSM was taken for each patient on the next day by an independent Fibroscan operator and correlated to the EGD result. Demographic, clinical, and biochemical data were recorded and analyzed using advanced data-mining computational technology.Mean LSM was 9.94 ± 6 kPa for group A and 33.32 ± 14 kPa for group B, whereas it was 21.22 ± 3, 25.72 ± 6, 33.82 ± 8, and 46.1 ± 15 kPa for subgroups B1, B2, B3, and B4, respectively. Mean spleen diameter was 11.09 ± 1.7 cm for group A and 16.58 ± 1.6 cm for group B. However, LSM ≥17 kPa was the only independent factor for EV prediction; splenic longitudinal span ≥15 cm was a complementary predictor when LSM was <17 kPa. The overall accuracy was 98.33 ± 3.33, Mikro = 98.26%.LSM ≥17 kPa and spleen diameter ≥15 cm is a simple noninvasive algorithm that could be used for prediction of EV and discrimination among its different grades.

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Section: Introductionmentioning

confidence: 99%

Liver stiffness measurement and spleen diameter as predictors for the presence of esophageal varices in chronic hepatitis C patients

et al. 2017

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“…Mode of delivery does not represent significant risk factor for HCV vertical transmission; hence, infected HCV pregnant women not advised to have CS unless indicated for other causes, whatever if minded theoretically, exposure to HCV-infected blood as the infant passes through the birth canal during normal vaginal delivery (NVD) may lead to HCV transmission. However, exposure to maternal blood can also occur with CS; accordingly, there is no reason to offer elective caesarean section to HCV-infected parturients [11][12][13][14] , with respect to special circumstances when CS is preferred to NVD, such as membranous rupture and internal fetal monitoring are confirmed to be associated with HCV transmission. CS and its complications were the main cause of death in many developing countries [15][16][17][18] .…”

Section: Discussionmentioning

confidence: 99%

“…Simple distribution Naïve Bayes and decision tree created by Rapid I version 4.6 emphasized the level of maternal HCV-related vertical transmission; > 3× 10 6 IU should be considered as the high level of vertical prediction, reported in our previous work [13] , and CS should be likely an important route of global HCV transmission especially in developing countries [ Figures 1 and 2]. However, the level of maternal viremia is still a matter of scientific debate in such vertical transmission.…”

Section: Discussionmentioning

confidence: 99%

Ongoing transmission of HCV: Should cesarean section be justified? Data mining discovery

Elrazek

Saab

Foad

et al. 2017

Journal of Translational Internal Medicine

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Background and Objectives:Over the past few decades, cesarean section (CS) rates are steadily increasing in most of the middle-and high-income countries. However, most of the pregnant women (particularly undergoing CS) are not screened for hepatitis C virus (HCV); hence, neonates born to HCV-positive mother could be a source of future HCV infection. In this study, the role of the CS and other surgical interventions in HCV transmission in Egypt, the highest endemic country of HCV-4, was investigated. Methods: From January to June 2016, a prospective cohort study was conducted among 3,836 pregnant women in both urban and rural areas across Egypt for HCV screening in both mothers and neonates born to HCV-positive mother. All pregnant women were screened during third trimester or just before delivery, neonates born to HCV-positive mothers were evaluated within 24-h postdelivery to record vertical transmission cases. Data mining (DM)-driven computational analysis was used to quantify the findings. Results: Among 3,836 randomized pregnant women, HCV genotype 4 was identified in 80 women (2.08%). Out of 80 HCV-infected women, 18 have experienced surgical intervention (22.5%) and 62 CS (77.5%). HCV vertical transmission was identified in 10 neonates, 10/80 (12.5%). Conclusion: Screening women who had experienced surgical intervention or CS during child bearing period and before pregnancy might prevent HCV mother-to-child transmission (MTCT). CS should be ethically justified to decrease global HCV transmission.

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“…For detecting HCV infections, Ahmed and others [14] have used the three classification techniques: Decision Trees (DT), Naïve Bayes, and Neural Networks (NN) and they found that the accuracy of the classification techniques depends on the size of the dataset, with Decision Trees technique having the highest percentage of correct predictions of patients who are likely to get HCV. Elrazek and others [15] had used both Decision Tree and Naïve Bayesian methods algorithms for prediction the vertical transmission (from pregnant mothers to new-borns) of HCV in Egypt. The analysis resulted in that the viral load, liver status, invasive techniques, HIV co infection, and immune response are among the most important predictors and they suggested further studies to determine the preventable high risk factors.…”

Section: Related Workmentioning

confidence: 99%

Spatial Clustering and Analysis on Hepatitis C Virus Infections in Egypt

Fathi¹,

Mohammed²,

Hefny³

2018

IJDKP

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Lots of studies worldwide have been carried out to check out the prevalence of Hepatitis C Virus (HCV) in human populations. Spatial data analysis and clustering detection is a vital process in HCV monitoring to discover the area of high risk and to help involved decision makers to draw hypotheses about the cause of disease. Egypt is declared as one of the countries having the highest prevalence rate of HCV worldwide. The anomaly of the HCV infection's distribution in Egypt allowed several researches to identify the reasons that contributed to such widespread of HCV in this country. One way that can help in identification of areas with highest diseases is to give a detailed knowledge about the geographical distribution of HCV in Egypt. To achieve that goal,

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Prediction of HCV vertical transmission: what factors should be optimized using data mining computational analysis

Cited by 21 publications

References 21 publications

Liver stiffness measurement and spleen diameter as predictors for the presence of esophageal varices in chronic hepatitis C patients

Liver stiffness measurement and spleen diameter as predictors for the presence of esophageal varices in chronic hepatitis C patients

Ongoing transmission of HCV: Should cesarean section be justified? Data mining discovery

Spatial Clustering and Analysis on Hepatitis C Virus Infections in Egypt

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