Development and validation of a risk-prediction nomogram for in-hospital mortality in adults poisoned with drugs and nonpharmaceutical agents

Lionte, Cătălina; Șorodoc, Victorița; Jaba, Elisabeta; Botezat, Alina

doi:10.1097/md.0000000000006404

Cited by 27 publications

(27 citation statements)

References 38 publications

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“…Lionte [ 2 ] developed a risk-prediction nomogram for in-hospital mortality among adults poisoned with drugs and non-pharmaceutical agents. The AUROC of their nomogram was 0.949 for the validation group, which was similar to our AUROC (0.946) for the validation group.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

et al. 2021

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Background A prediction model of mortality for patients with acute poisoning has to consider both poisoning-related characteristics and patients’ physiological conditions; moreover, it must be applicable to patients of all ages. This study aimed to develop a scoring system for predicting in-hospital mortality of patients with acute poisoning at the emergency department (ED). Methods This was a retrospective analysis of the Injury Surveillance Cohort generated by the Korea Center for Disease Control and Prevention (KCDC) during 2011–2018. We developed the new-Poisoning Mortality Scoring system (new-PMS) to generate a prediction model using the derivation group (2011–2017 KCDC cohort). Points were computed for categories of each variable. The sum of these points was the new-PMS. The validation group (2018 KCDC cohort) was subjected to external temporal validation. The performance of new-PMS in predicting mortality was evaluated using area under the receiver operating characteristic curve (AUROC) for both the groups. Results Of 57,326 poisoning cases, 42,568 were selected. Of these, 34,352 (80.7%) and 8216 (19.3%) were enrolled in the derivation and validation groups, respectively. The new-PMS was the sum of the points for each category of 10 predictors. The possible range of the new-PMS was 0–137 points. Hosmer–Lemeshow goodness-of-fit test showed adequate calibration for the new-PMS with p values of 0.093 and 0.768 in the derivation and validation groups, respectively. AUROCs of the new-PMS were 0.941 (95% CI 0.934–0.949, p < 0.001) and 0.946 (95% CI 0.929–0.964, p < 0.001) in the derivation and validation groups, respectively. The sensitivity, specificity, and accuracy of the new-PMS (cutoff value: 49 points) were 86.4%, 87.2%, and 87.2% and 85.9%, 89.5%, and 89.4% in the derivation and validation groups, respectively. Conclusions We developed a new-PMS system based on demographic, poisoning-related variables, and vital signs observed among patients at the ED. The new-PMS showed good performance for predicting in-hospital mortality in both the derivation and validation groups. The probability of death increased according to the increase in the new-PMS. The new-PMS accurately predicted the probability of death for patients with acute poisoning. This could contribute to clinical decision making for patients with acute poisoning at the ED.

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Section: Discussionmentioning

confidence: 99%

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

et al. 2021

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“…Secondly, by adding up the scores of all variables, the total score is calculated, and its value is identified on the total score scale. Finally, the probability of the event corresponding to the total score is read on the probability scale [64][65][66].…”

Section: Methodsmentioning

confidence: 99%

A Comparative Study on Drivers for Corporate Environmental Responsibility, EU15 vs. EU-NMS13

2019

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The activity of enterprises has a major impact on the quality of the environment. Deterioration and abusive exploitation of resources, with no concern for environmental protection, bring the need for a higher level of corporate environmental responsibility (CER). Consequently, CER has become a sine qua non concern of small and medium enterprises (SMEs). This study aims to estimate the importance of drivers for CER. It was conducted on a sample of SMEs from two groups of EU countries characterised by a different level of social and economic development backgrounds. The authors applied statistical analysis to estimate the importance of the effect of drivers for CER using the logit model and the nomogram. The logit model shows that the most important effects of drivers for CER correspond to the company’s core values, the impact of resource efficiency actions on the production costs, and the return on the investments made on resource efficiency. The magnitude of these effects is different for the SMEs from the two EU groups. Also, the study underlines the significant effect of SMEs’ size for CER. The differences for the two groups of countries call for policies stimulating environmental responsibility, differentiated by the two types of SMEs.

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“…Lastly, two Zlotnik risk-prediction nomograms were used to assess the probability [74,75] associated with the migration intentions in both particular models, corresponding to respondents' permanent residencies from RoMold and ReMold. These two also contribute to increasing the support for information metrics and decision-making in terms of defining sustainable development policies for the preservation of the young graduates.…”

Section: Methodsmentioning

confidence: 99%

Comparative Patterns of Migration Intentions: Evidence from Eastern European Students in Economics from Romania and Republic of Moldova

et al. 2019

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Based on a survey among students in economics at universities from the Romanian region of Moldova (RoMold) and Republic of Moldova (ReMold), this study explores the influence of familial, background, and individual characteristics on the migration intentions abroad. Both regional models built after using data mining tools and binary logistic regression analysis show a powerful emphasis on our own value recognition, while the other influences indicate clear asymmetric patterns in terms of migration intentions. For RoMold, there is a low level of interpersonal trust, a strong accent on individual liberty and favoritism, a low respect for traditions, and the belief that Orthodoxy could be a migration cause. The paternal occupation and the maternal religiosity matter for their migration plans. For ReMold, the parental migration experience, a low level of parents’ education attainment, and a powerful internal locus of control are considered the main triggers for migrating abroad. For both particular regions, a highly interactive distribution map and two corresponding risk-prediction nomograms provide basic support for replication, fast visual insight, and consistent support for interpretations directly in probabilistic terms. We intend to apply an inductive approach in order to extend the analysis to different types of respondents and geographic areas.

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Development and validation of a risk-prediction nomogram for in-hospital mortality in adults poisoned with drugs and nonpharmaceutical agents

Abstract: Supplemental Digital Content is available in the text

Cited by 27 publications

References 38 publications

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

A Comparative Study on Drivers for Corporate Environmental Responsibility, EU15 vs. EU-NMS13

Comparative Patterns of Migration Intentions: Evidence from Eastern European Students in Economics from Romania and Republic of Moldova

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