Prediction of delayed neuropsychiatric sequelae after carbon monoxide poisoning via serial determination of serum neuron-specific enolase levels

Predicting delayed neurological sequelae in patients with carbon monoxide poisoning using machine learning models

INTRODUCTION

Delayed neurological sequelae is a common complication following carbon monoxide poisoning, which significantly affects the quality of life of patients with the condition. We aimed to develop a machine learning-based prediction model to predict the frequency of delayed neurological sequelae in patients with carbon monoxide poisoning.

METHODS

A single-center retrospective analysis was conducted in an emergency department from January 01, 2018, to December 31, 2023. We analyzed data from patients with carbon monoxide poisoning, which were divided into training and test sets. We developed and evaluated sixteen machine learning models, using accuracy, sensitivity, specificity, and other relevant metrics. Threshold adjustments were performed to determine the most accurate model for predicting patients with carbon monoxide poisoning at risk of delayed neurological sequelae.

RESULTS

A total of 360 patients with carbon monoxide poisoning were investigated in the present study, of whom 103 (28.6%) were diagnosed with delayed neurological sequelae, and two (0.6%) died. After threshold adjustment, the synthetic minority oversampling technique-random forest model demonstrated superior performance with an area under the receiver operating characteristic curve of 0.89 and an accuracy of 0.83. The sensitivity and specificity of the model were 0.9 and 0.8, respectively.

DISCUSSION

The study developed a machine learning-based synthetic minority oversampling technique-random forest model to predict delayed neurological sequelae in patients with carbon monoxide poisoning, achieving an area under the receiver operating characteristic curve of 0.89. This technique was used to handle class imbalance, and shapley additive explanations analysis helped explain the model predictions, highlighting important factors such as the Glasgow Coma Scale, hyperbaric oxygen therapy, kidney function, immune response, liver function, and blood clotting.

CONCLUSIONS

The machine learning-based synthetic minority oversampling technique-random forest model developed in this study effectively identifies patients with carbon monoxide poisoning at high risk for delayed neurological sequelae.

Development of a risk prediction nomogram for delayed neuropsychiatric sequelae in patients with acute carbon monoxide poisoning

OBJECTIVES

Delayed neuropsychiatric sequelae (DNS) are critical complications following acute carbon monoxide (CO) poisoning that can substantially affect the patient's life. Identifying high-risk patients for developing DNS may improve the quality of follow-up care. To date, the predictive DNS determinants are still controversial. Consequently, this study aimed to construct a practical nomogram for predicting DNS in acute CO-poisoned patients.

METHODS

This retrospective study was conducted on patients with acute CO poisoning admitted to the Tanta University Poison Control Center (TUPCC) from December 2018 to December 2022. Demographic, toxicological, and initial clinical characteristics data, as well as laboratory investigation results, were recorded for the included patients. After acute recovery, patients were followed up for six months and categorized into patients with and without DNS.

RESULTS

Out of 174 enrolled patients, 38 (21.8%) developed DNS. The initial Glasgow Coma Scale (GCS), carboxyhemoglobin (COHb) level, CO exposure duration, oxygen saturation, PaCO2, and pulse rate were significantly associated with DNS development by univariate analysis. However, the constructed nomogram based on the multivariable regression analysis included three parameters: duration of CO exposure, COHb level, and GCS with adjusted odd ratios of 1.453 (95% CI: 1.116-1.892), 1.262 (95% CI: 1.126-1.415), and 0.619 (95% CI: 0.486-0.787), respectively. The internal validation of the nomogram exhibited excellent discrimination (area under the curve [AUC] = 0.962), good calibration, and satisfactory decision curve analysis for predicting the DNS probability.

CONCLUSIONS

The proposed nomogram could be considered a simple, precise, and applicable tool to predict DNS development in acute CO-poisoned patients.

A Pretreatment with Isoorientin Attenuates Redox Disruption, Mitochondrial Impairment, and Inflammation Caused by Chlorpyrifos in a Dopaminergic Cell Line: Involvement of the Nrf2/HO-1 Axis

The C-glucosyl flavone isoorientin (ISO) is obtained by humans from the diet and exhibits several cytoprotective effects, as demonstrated in different experimental models. However, it was not previously shown whether ISO would be able to prevent mitochondrial impairment in cells exposed to a chemical stressor. Thus, we treated the human neuroblastoma SH-SY5Y cells with ISO (0.5-20 µM) for 18 h before a challenge with chlorpyrifos (CPF) at 100 µM for additional 24 h. We observed that ISO prevented the CPF-induced lipid peroxidation and protein carbonylation and nitration in the membranes of mitochondria extracted from CPF-treated cells. ISO also attenuated the CPF-elicited increase in the production of reactive species in this experimental model. Moreover, ISO prevented the CPF-induced disruption in the activity of components of the oxidative phosphorylation (OXPHOS) system in the SH-SY5Y cells. ISO also promoted an anti-inflammatory action in the cells exposed to CPF. CPF caused a decrease in the activity of the enzyme heme oxygenase-1 (HO-1), a cytoprotective agent. On the other hand, ISO upregulated HO-1 activity in SH-SY5Y cells. Inhibition of HO-1 by zinc protoporphyrin-IX (ZnPP-IX) suppressed the cytoprotection induced by ISO in the CPF-treated cells. Besides, silencing of the transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) abolished the ISO-induced HO-1 upregulation and mitochondrial benefits induced by this flavone on the CPF-challenged cells. Thus, ISO protected mitochondria of the CPF-treated cells by an Nrf2/HO-1-dependent fashion in the SH-SY5Y cells.