OBJECTIVE: To evaluate the performance of the modified early warning score (Mews) in a nursing ward for patients in clinical deterioration. METHOD: This is an analytical, quantitative and predictive study. Mews' parameters (systolic blood pressure, heart rate, respiratory rate, temperature and level of consciousness) were evaluated every six hours. The following events were reported: death, cardiopulmonary arrest and transfer to intensive care. The evaluations were performed in a hospital of reference in the state of São Paulo, Brazil. RESULTS: A total of 300 patients were included (57 ± 18 years old, males: 65%). There number of combined events was observed to be greater the higher the score's value (00%; 00%; 01; 09%; 19%; 28%; 89%, respectively, for Mews 0; 1; 2; 3; 4; 5 and 6; p < 0.0001). Mews ≥ 4 was the most appropriate cut-off point for prediction of these events (sensitivity: 87%, specificity: 85% and accuracy: 0.86). CONCLUSION: Mews properly measured the occurrence of severe events in hospitalized patients of a Brazilian public hospital's nursing ward. Mews ≥ 4 seems to be the most appropriate cut-off point for prediction of these events.
OBJECTIVE: To evaluate the performance of the modified early warning score (Mews) in a nursing ward for patients in clinical deterioration. METHOD: This is an analytical, quantitative and predictive study. Mews' parameters (systolic blood pressure, heart rate, respiratory rate, temperature and level of consciousness) were evaluated every six hours. The following events were reported: death, cardiopulmonary arrest and transfer to intensive care. The evaluations were performed in a hospital of reference in the state of São Paulo, Brazil. RESULTS: A total of 300 patients were included (57 ± 18 years old, males: 65%). There number of combined events was observed to be greater the higher the score's value (00%; 00%; 01; 09%; 19%; 28%; 89%, respectively, for Mews 0; 1; 2; 3; 4; 5 and 6; p < 0.0001). Mews ≥ 4 was the most appropriate cut-off point for prediction of these events (sensitivity: 87%, specificity: 85% and accuracy: 0.86). CONCLUSION: Mews properly measured the occurrence of severe events in hospitalized patients of a Brazilian public hospital's nursing ward. Mews ≥ 4 seems to be the most appropriate cut-off point for prediction of these events.
Authors: Lorena Micheline Alves Silva; Diego Marques Moroço; José Paulo Pintya; Carlos Henrique Miranda Journal: PLoS One Date: 2021-11-11 Impact factor: 3.240
Authors: Maria Teresa Neves; Leonor Vasconcelos de Matos; Ana Carolina Vasques; Inês Egídio Sousa; Inês Ferreira; Susana Peres; Susana Jesus; Cândida Fonseca; Kamal Mansinho Journal: SAGE Open Med Date: 2021-06-24