Evaluation of Lac and NGAL on the Condition and Prognosis of Patients with Diquat Poisoning

Zhu, Qianqian; Xu, Wenpin; Qi, Hongna; Zhu, Baoyue; Wang, Weizhan

doi:10.1017/s1049023x23006350

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…First, the small sample size and single-center retrospective design of this study limit the amount of data collected, which may introduce bias that affects the universality of the research results. Furthermore, despite the inclusion of many variables in this study to cover all the influencing factors as much as possible, certain specificity indicators identified in prior research, such as body mass index [ 37 ], neutrophil gelatinase-associated lipocalin [ 38 , 39 ], serum toxicant concentration [ 33 ], and lactate concentration [ 10 ], were not adequately captured for various reasons. Finally, although the prediction model demonstrated a certain degree of accuracy, the initial clinical data within 24 h after admission did not fully reflect the degree of organ damage caused by DQ.…”

Section: Discussionmentioning

confidence: 99%

Construction of a mortality risk prediction model for patients with acute diquat poisoning based on clinically accessible data

Lv,

2024

J Occup Med Toxicol

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Background To examine the risk factors associated with mortality in individuals suffering from acute diquat poisoning and to develop an effective prediction model using clinical data. Methods A retrospective review was conducted on the clinical records of 107 individuals who were hospitalized for acute diquat poisoning at a tertiary hospital in Sichuan Province between January 2017 and September 30, 2023, and further categorized into survivor and nonsurvivor groups based on their mortality status within 30 days of poisoning. The patient’s demographic information, symptoms within 24 h of admission, and details of the initial clinical ancillary examination, as well as the APACHE II score, were documented. The model was developed using backward stepwise logistic regression, and its performance was assessed using receiver operating characteristic curves, calibration curves, Brier scores, decision curve analysis curves, and bootstrap replicates for internal validation. Results Multifactorial logistic regression analysis revealed that blood pressure (hypertension, OR 19.73, 95% CI 5.71–68.16; hypotension, OR 61.38, 95% CI 7.40–509.51), white blood count (OR 1.35, 95% CI 1.20–1.52), red cell distribution width-standard deviation (OR 1.22, 95% CI 1.08–1.38), and glomerular filtration rate (OR 0.96, 95% CI 0.94–0.97) were identified as independent risk factors for mortality in patients with diquat. Subsequently, a nomogram with an area under the curve of 0.97 (95% CI: 0.93–1) was developed. Internal bootstrap resampling (1000 repetitions) confirmed the model’s adequate discriminatory power, with an area under the curve of 0.97. Decision curve analysis demonstrated greater net gains for the nomogram, while the clinical impact curves indicated greater predictive validity. Conclusion The nomogram model developed in this study using available clinical data enhances the prediction of risk for DQ patients and has the potential to provide valuable clinical insights to guide patient treatment decisions.

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Section: Discussionmentioning

confidence: 99%

Construction of a mortality risk prediction model for patients with acute diquat poisoning based on clinically accessible data

Lv,

2024

J Occup Med Toxicol

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A population-based case-control analysis of the association between enema and nervous system injury caused by diquat poisoning

Xue,

Meng,

Huang

et al. 2024

Preprint

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Objective：The objective of this study was to investigated whether enema is associated with nervous system injury caused by diquat poisoning using a population-based case-control analysis. Methods: The medical records of patients with acute diquat(DQ) poisoning admitted to the hospital from January 2018 to January 2024 were retrospectively collected. A series of symptoms of central nervous system injury occurred after DQ poisoning were defined as DQ nervous system injury, which identified as the case group in our study. The controls group were matched 1:2 on population-based without nervous system injury in DQ poisoning patients. Conditional logistic regression models were performed. Results: We identified 101 DQ poisoning patients with nervous system injury and selected 202 DQ patients without nervous system injury. DQ poisoning patients performed 2 and ≧3 enemas had ORs of nervous system injury of 3.084(95%CI 1.230, 7.734) and 4.693(95%CI 1.408, 15.645) compared with DQ poisoning patients with no enema, respectively. Further analyses were performed in various age subgroups. The ORs of conducting 2 and ≧3 enemas were dramatically higher among cases group than controls group in subgroup aged ≧60 years old (OR=10.184, 14.982 respectively). Conclusions: We concluded that enemas increased the risk of with nervous system injury caused by DQ, particularly among the elderly.

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Investigating Clinical Factors Influencing Pulmonary Fibrosis in Acute Diquat Poisoning

Xu,

Chen,

Chen

et al. 2024

IJGM

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Objective This study aimed to explore the factors influencing pulmonary fibrosis in patients with acute diquat poisoning through logistic regression analysis. Methods A retrospective analysis was conducted on 68 cases of acute diquat poisoning due to suicidal intent admitted to our hospital from February 2020 to March 2023. Patients were divided into a combined group (28 cases with pulmonary fibrosis) and an acute diquat poisoning group (40 cases without). A healthy control group consisted of 40 individuals. General data were compared among the three groups, and laboratory indicators were analyzed. Single and multiple logistic regression analyses were performed to identify risk factors for pulmonary fibrosis. Results There were no significant differences in gender, age, BMI, poisoning status, or treatment timing among the groups (P > 0.05). The combined group had significantly higher diquat ingestion dose, SIRS score, SOFA score, and APACHE II score compared to the poisoning group (P < 0.05). In the acute poisoning group, these scores were also higher than in the healthy controls (P < 0.05). Laboratory indicators, including Hb, PLT, ALP, DBil, ALB, BUN, Glu, BNP, and pH, showed no significant differences (P > 0.05). However, WBC, ALT, TBil, DBil, Cr, K+, Tn I, and Lac levels were significantly higher in the combined group compared to the acute poisoning group (P < 0.05). Logistic regression analysis identified factors influencing pulmonary fibrosis as diquat ingestion dose, K+, ALT, PaO2, Lac, and HCO3-. Conclusion The factors influencing pulmonary fibrosis in acute diquat poisoning include diquat ingestion dose, K+, ALT, PaO2, Lac, and HCO3-. These findings enhance understanding of pulmonary fibrosis pathogenesis and may inform clinical management for affected patients.

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Evaluation of Lac and NGAL on the Condition and Prognosis of Patients with Diquat Poisoning

Cited by 3 publications

References 11 publications

Construction of a mortality risk prediction model for patients with acute diquat poisoning based on clinically accessible data

Construction of a mortality risk prediction model for patients with acute diquat poisoning based on clinically accessible data

A population-based case-control analysis of the association between enema and nervous system injury caused by diquat poisoning

Investigating Clinical Factors Influencing Pulmonary Fibrosis in Acute Diquat Poisoning

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