ArticleAnnals of translational medicine2019
Detection of deteriorating patients after Whipple surgery by a modified early warning score (MEWS).
Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 31 citations in OpenAlex.
- Dynamic Modified Early Warning Score for predicting postoperative mortality in acute type A aortic dissection: a retrospective study.Journal of thoracic disease · 2025Article
- A validation study of three early warning scores in early identification of gastric cancer patients with deteriorating condition after gastrectomy.BMC gastroenterology · 2025Article
- Comparison of different scores as predictors of mechanical ventilation and intensive care unit admission in acute theophylline poisoning.Toxicology research · 2023Article
- Modified Early Warning Score: Clinical Deterioration of Mexican Patients Hospitalized with COVID-19 and Chronic Disease.Healthcare (Basel, Switzerland) · 2023Article
- The utility of the Rapid Emergency Medicine Score (REMS) compared with three other early warning scores in predicting in-hospital mortality among COVID-19 patients in the emergency department: a multicenter validation study.BMC emergency medicine · 2023Article
- The Role of Early Warning Scoring Systems NEWS and MEWS in the Acute Exacerbation of COPD.Clinical medicine insights. Circulatory, respiratory and pulmonary medicine · 2023Article
- Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population.Clinical interventions in aging · 2021Article
- Article
- Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19.Frontiers in medicine · 2020Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe modified early warning score (MEWS) was set up to supply prompt recognition of clinically deteriorating patients before they undergo a severe and life-threatening event. The study aimed to describe the probable usefulness of the MEWS in identifying deteriorating post-Whipple patients in hospital wards.
methodsWe performed a study to analyze the relationship between the vital parameters and postoperative severe adverse events of patients after Whipple surgery in Guangdong Provincial People's Hospital from 2000 to 2017. In the retrospective study, a total of 13,651 sets of vital parameters in 236 Whipple postoperative patients were included. Subsequently, we applied a MEWS scoring system and explored the accuracy of the MEWS in evaluating the patients' final events versus advanced mathematical models. We then put the MEWS into the ward warning system and confirmed the accuracy of the MEWS based on the results of prospective studies again.
resultsWe assessed the ability of the MEWS to predict postoperative complications with an accuracy rate of 90.86-91.23%, a sensitivity of 83.04-90.88%, and a specificity of 90.85-95.73%.
conclusionsThe MEWS model was applied to identify post-Whipple patients at risk of complication. Once the MEWS ≥2, interventions were needed to minimize the adverse events. Our data suggest that the MEWS is comparable to the advanced mathematical models, but MEWS is more accessible to perform and more generally applicable.
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