Postoperative vomiting in pediatric oncologic patients: prediction by a fuzzy logic model

Bassanezi, Betina Silvia Beozzo; Jafelice, Rosana Sueli da Motta; Bustorff‐Silva, Joaquim Murray; Udelsmann, Artur

doi:10.1111/pan.12000

Cited by 7 publications

(12 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies of pediatric risk predictors show that childhood after infancy and younger adulthood is associated with increasing risk for PONV (Bassanezi et al, 2013; Eberhart et al, 2004; Kranke et al, 2007; Sinclair et al, 1999). Additionally, a personal history of motion sickness, or even a family history of PONV or motion sickness, was an independent risk factor for pediatric PONV (Eberhart et al, 2004; Kranke et al, 2007).…”

Section: Patient-related Risk Factorsmentioning

confidence: 99%

“…Additionally, a personal history of motion sickness, or even a family history of PONV or motion sickness, was an independent risk factor for pediatric PONV (Eberhart et al, 2004; Kranke et al, 2007). Bassenezi et al used a fuzzy logic model to predict postoperative vomiting in pediatric patients undergoing oncologic surgery, which may prove to be a reliable method for PONV prediction (Bassanezi et al, 2013). …”

Section: Patient-related Risk Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Pathophysiological and neurochemical mechanisms of postoperative nausea and vomiting

Horn¹,

Wallisch²,

Homanics³

et al. 2014

European Journal of Pharmacology

191

130

View full text Add to dashboard Cite

Clinical research shows that postoperative nausea and vomiting (PONV) is caused primarily by the use of inhalational anesthesia and opioid analgesics. PONV is also increased by several risk predictors, including a young age, female sex, lack of smoking, and a history of motion sickness. Genetic studies are beginning to shed light on the variability in patient experiences of PONV by assessing polymorphisms of gene targets known to play roles in emesis (serotonin type 3, 5-HT3; opioid; muscarinic; and dopamine type 2, D2, receptors) and the metabolism of antiemetic drugs (e.g., ondansetron). Significant numbers of clinical trials have produced valuable information on pharmacological targets important for controlling PONV (e.g., 5-HT3 and D2), leading to the current multi-modal approach to inhibit multiple sites in this complex neural system. Despite these significant advances, there is still a lack of fundamental knowledge of the mechanisms that drive the hindbrain central pattern generator (emesis) and forebrain pathways (nausea) that produce PONV, particularly the responses to inhalational anesthesia. This gap in knowledge has limited the development of novel effective therapies of PONV. The current review presents the state of knowledge on the biological mechanisms responsible for PONV, summarizing both preclinical and clinical evidence. Finally, potential ways to advance the research of PONV and more recent developments on the study of postdischarge nausea and vomiting (PDNV) are discussed.

show abstract

Section: Patient-related Risk Factorsmentioning

confidence: 99%

Section: Patient-related Risk Factorsmentioning

confidence: 99%

Pathophysiological and neurochemical mechanisms of postoperative nausea and vomiting

Horn¹,

Wallisch²,

Homanics³

et al. 2014

European Journal of Pharmacology

191

130

View full text Add to dashboard Cite

show abstract

“…They developed a "fuzzy logic" mathematical model to predict POV for this specific group. 25 The predictive value of their model evaluated from the area under the receiver operating characteristic curve was 0.72 (95% CI: 0.66-0.78). In the same population, Eberhart's model yielded a predictive value of 0.62 (95% CI: 0.55-0.69).…”

Section: Discussionmentioning

confidence: 97%

“…Bassanezi et al also provided evidence that the Eberhart score may not be suitable for the accurate prediction of POV risk in oncologic pediatric patients submitted to surgical procedures under anesthesia. They developed a “fuzzy logic” mathematical model to predict POV for this specific group 25 . The predictive value of their model evaluated from the area under the receiver operating characteristic curve was 0.72 (95% CI: 0.66–0.78).…”

Section: Discussionmentioning

confidence: 99%

Vomiting after intrathecal chemotherapy under anesthesia in pediatric patients with hematologic cancers: A cohort study

França de Moraes,

Lima,

Couceiro

et al. 2023

Pediatric Anesthesia

View full text Add to dashboard Cite

IntroductionDespite preventive strategies, vomiting is an adverse event affecting patients with cancer. However, literature on the incidence and risk factors for vomiting in pediatric patients with cancer are scarce.AimTo assess the incidence and risk factors for vomiting within 24 h and goodness of fit for the Eberhart score in pediatric patients with hematologic cancers after receiving intrathecal chemotherapy under deep sedation.MethodsThis prospective cohort study included patients under 20 years of age with hematologic cancers who were scheduled to undergo intrathecal chemotherapy under anesthesia. The primary outcome was the occurrence of vomiting within 24 h after the end of anesthesia. Sociodemographic and procedure data and underlying diseases were collected. Patients were monitored during the procedure, in the postanesthesia care unit, and the day after (by phone call).ResultsA total of 139 patients were included, and the incidence of vomiting was 30.9% within 24 h after intrathecal chemotherapy under anesthesia, with 90.7% of vomiting prior to 6 h. Prophylactic ondansetron was administered prior to the procedure to 45.3% of patients. Risk factors for vomiting were female gender (hazard ratio: 2.47, 95% confidence interval: 1.35–4.53, p: .003), consolidation phase of treatment (hazard ratio: 2.16, 95% confidence interval: 1.10–4.24, p: .025), and history of kinetosis (hazard ratio: 2.49, 95% confidence interval: 1.31–4.70, p: .005). Incidence of vomit was higher than estimated by the Eberhart score distribution (observed incidence in patients with a score of zero: 33.3%; with a score of one: 28.8%; with a score of two: 60%).ConclusionA high incidence of vomiting was observed within 24 h after intrathecal chemotherapy under propofol deep sedation. Risk factors for this outcome were established (being female, consolidation phase of treatment, and previous kinetosis), and evidence suggested that the Eberhart score was not suitable for the studied population.

show abstract

“…The use of fuzzy systems for predicting prostate cancer according to its pathological stage is employed in [11]. A fuzzy logic model for predicting vomiting in postoperative pediatric oncology patients is available in [12]. When concerning breast cancer health diagnoses, the classification of lesion in benign and malignant by employing a hybrid hidden Markov model-fuzzy approach in designed in [13].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy breast cancer risk assessment

Ribeiro

Silva

Araújo

2014

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

View full text Add to dashboard Cite

In recent years, the statistics presented increased incidence rate of breast cancer, while early detection in early stages considered one of the highest healing rates and also role of prevention in reducing risk by avoiding causes of incidence that associated with risk factors. as well as, The soft computing approaches have been used widely in solving health care problems by modeling to the behavior of experts. For these reasons and others, we presented in this paper the proposed method is designing a risk assessment tool to prevention and early detection of breast cancer based on-demographic risk factors (DRF) by using neuro-fuzzy system technique (NF), in order to solve the main problem for this research and help doctors or patients in the risk assessment of incidence .This method consisted of three stages (statistical study, prepare data and design of the assessment model using NF by two approaches, In the second approach which uses the FCM algorithm with NF technique , was proposed to improve the first approach, which used NF technique. also achieved a higher accuracy for results than the other tools (Gail,IBIS). Where rate of success for the proposed tool is 94%. In addition, used MATLAB 2013 to programming and testing the proposed method.

show abstract

Postoperative vomiting in pediatric oncologic patients: prediction by a fuzzy logic model

Abstract: The fuzzy score can predict the chance of POV in children with cancer with good accuracy, allowing better planning for postoperative prophylaxis of vomiting. The computational interface is available for free download at the internet and is very easy to use.

Cited by 7 publications

References 28 publications

Pathophysiological and neurochemical mechanisms of postoperative nausea and vomiting

Pathophysiological and neurochemical mechanisms of postoperative nausea and vomiting

Vomiting after intrathecal chemotherapy under anesthesia in pediatric patients with hematologic cancers: A cohort study

Fuzzy breast cancer risk assessment

Contact Info

Product

Resources

About