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1.
Rev. latinoam. enferm. (Online) ; 31: e3977, Jan.-Dec. 2023. tab
Article in Spanish | LILACS, BDENF | ID: biblio-1515327

ABSTRACT

Objetivo: evaluar la asociación entre las categorías de clasificación de riesgo y el Modified Early Warning Score y los resultados de los pacientes con COVID-19 en el servicio de emergencia Método: estudio transversal, realizado con 372 pacientes hospitalizados con diagnóstico de COVID-19 atendidos en la Recepción con Clasificación de Riesgo en Urgencias. En este estudio, el Modified Early Warning Score de los pacientes se clasificó como sin y con deterioro clínico, de 0 a 4 y de 5 a 9, respectivamente. Se consideró que había deterioro clínico cuando presentaban insuficiencia respiratoria aguda, shock y paro cardiorrespiratorio. Resultados: el Modified Early Warning Score promedio fue de 3,34. En cuanto al deterioro clínico de los pacientes, se observó que en el 43% de los casos el tiempo de deterioro fue menor a 24 horas y que el 65,9% ocurrió en urgencias. El deterioro más frecuente fue la insuficiencia respiratoria aguda (69,9%) y el resultado fue alta hospitalaria (70,3%). Conclusión: los pacientes con COVID-19 que presentaban Modified Early Warning Score 4 se asociaron a las categorías de clasificación de riesgo urgente, muy urgente y emergente y tuvieron más deterioro clínico, como insuficiencia respiratoria y shock, y murieron, lo que demuestra que el Protocolo de Clasificación de Riesgo priorizó correctamente a los pacientes con riesgo vital.


Objective: to evaluate the association of the risk classification categories with the Modified Early Warning Score and the outcomes of COVID-19 patients in the emergency service Method: a crosssectional study carried out with 372 patients hospitalized with a COVID-19 diagnosis and treated at the Risk Classification Welcoming area from the Emergency Room. In this study, the patients' Modified Early Warning Score was categorized into without and with clinical deterioration, from 0 to 4 and from 5 to 9, respectively. Clinical deterioration was considered to be acute respiratory failure, shock and cardiopulmonary arrest Results: the mean Modified Early Warning Score was 3.34. In relation to the patients' clinical deterioration, it was observed that, in 43%, the time for deterioration was less than 24 hours and that 65.9% occurred in the Emergency Room. The most frequent deterioration was acute respiratory failure (69.9%) and the outcome was hospital discharge (70.3%). Conclusion: COVID-19 patients who had a Modified Early Warning Scores > 4 were associated with the urgent, very urgent and emergency risk classification categories, had more clinical deterioration, such as respiratory failure and shock, and evolved more to death, which shows that the Risk Classification Protocol correctly prioritized patients at risk of life.


Objetivo: avaliar a associação das categorias de classificação de risco com o Modified Early Warning Score e os desfechos dos pacientes com COVID-19 no serviço de emergência Método: estudo transversal, realizado com 372 pacientes internados com diagnóstico de COVID-19 atendidos no Acolhimento com Classificação de Risco no Pronto-Atendimento. Neste estudo, o Modified Early Warning Score dos pacientes foi categorizado em sem e com deterioração clínica, de 0 a 4 e de 5 a 9, respectivamente. Foram consideradas deteriorações clínicas a insuficiência respiratória aguda, choque e parada cardiorrespiratória. Resultados: o Modified Early Warning Score médio foi de 3,34. Em relação à deterioração clínica dos pacientes, observou-se que em 43% o tempo para deterioração foi menor de 24 horas e que 65,9% delas ocorreu no pronto-socorro. A deterioração mais frequente foi a insuficiência respiratória aguda (69,9%) e o desfecho foi o de alta hospitalar (70,3%). Conclusão: pacientes com COVID-19 que tiveram Modified Early Warning Score 4 foram associados às categorias da classificação de risco urgente, muito urgente e emergente e tiveram mais deterioração clínica, como a insuficiência respiratória e o choque, e evoluíram mais a óbito, o que demonstra que o Protocolo de Classificação de Risco priorizou corretamente os pacientes com risco de vida.


Subject(s)
Humans , Clinical Deterioration , Early Warning Score , COVID-19 Testing , COVID-19/diagnosis , Hospitals
2.
Rev. bras. ter. intensiva ; 32(3): 439-443, jul.-set. 2020. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1138501

ABSTRACT

RESUMO Objetivo: Verificar se há associação entre o Modified Early Warning Score antes da transferência da emergência para enfermaria e o óbito ou a admissão na unidade de terapia intensiva em 30 dias. Métodos: Trata-se de estudo de coorte histórica desenvolvido em hospital de alta complexidade do Sul do Brasil com pacientes transferidos da emergência para a enfermaria entre os meses de janeiro e junho de 2017. Foram coletados: variáveis sociodemográficas, comorbidades pelo índice de Charlson, motivo da internação hospitalar, pontuação do Modified Early Warning Score no momento da transferência, internação na unidade de terapia intensiva, atendimento pelo Time de Resposta Rápida, mortalidade em 30 dias e mortalidade hospitalar. Resultados: Foram incluídos 278 pacientes no estudo. Em relação ao Modified Early Warning Score, os pacientes com óbito em 30 dias apresentaram escore significativamente maior do que os pacientes sobreviventes nesse período (2,0 [1,0 - 3,0] versus 1,0 [1,0 - 2,0], respectivamente; p = 0,006). As áreas sob a curva Característica de Operação do Receptor para óbito em 30 dias e para admissão na UTI foram 0,67 (0,55 - 0,80; p = 0,012) e 0,72 (0,59 - 0,84; p = 0,02), respectivamente, com ponto de corte do Modified Early Warning Score ≥ 2. Na regressão de Cox, o Modified Early Warning Score apresentou associação independente com mortalidade em 30 dias, após ajuste multivariável (hazard ratio 2,91; intervalo de confiança de 95% 1,04 - 8,13). Conclusão: O Modified Early Warning Score antes da transferência intra-hospitalar da emergência para enfermaria está associado com admissão na unidade de terapia intensiva e óbito em 30 dias. Calcular o Modified Early Warning Score pode ser um indicador importante para acompanhamento desses pacientes, permitindo ações específicas da equipe receptora.


Abstract Objective: To verify whether there is an association between the Modified Early Warning Score before the transfer from the emergency room to the ward and death or admission to the intensive care unit within 30 days. Methods: This is a historical cohort study conducted in a high-complexity hospital in southern Brazil with patients who were transferred from the emergency room to the ward between January and June 2017. The following data were collected: sociodemographic variables; comorbidities, as determined by the Charlson index; reason for hospitalization; Modified Early Warning Score at the time of transfer; admission to the intensive care unit; care by the Rapid Response Team; mortality within 30 days; and hospital mortality. Results: A total of 278 patients were included in the study. Regarding the Modified Early Warning Score, patients who died within 30 days had a significantly higher score than surviving patients during this period (2.0 [1.0 - 3.0] versus 1.0 [1.0 - 2.0], respectively; p = 0.006). The areas under the receiver operating characteristic curve for death within 30 days and for ICU admission were 0.67 (0.55 - 0.80; p = 0.012) and 0.72 (0.59 - 0.84; p = 0.02), respectively, with a Modified Early Warning Score cutoff of ≥ 2. In the Cox regression, the Modified Early Warning Score was independently associated with mortality within 30 days after multivariate adjustment (hazard ratio 2.91; 95% confidence interval 1.04 - 8.13). Conclusion: The Modified Early Warning Score before intrahospital transfer from the emergency room to the ward is associated with admission to the intensive care unit and death within 30 days. The Modified Early Warning Score can be an important indicator for monitoring these patients and can prompt the receiving team to take specific actions.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Patient Transfer/statistics & numerical data , Hospital Mortality , Early Warning Score , Intensive Care Units/statistics & numerical data , Time Factors , Brazil , Retrospective Studies , Cohort Studies , Emergency Service, Hospital/statistics & numerical data , Hospital Rapid Response Team , Hospitalization/statistics & numerical data
3.
Rev. bras. ter. intensiva ; 32(2): 301-307, Apr.-June 2020. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1138479

ABSTRACT

RESUMO Objetivo: Avaliar a hipótese de que o Modified Early Warning Score (MEWS) por ocasião da alta da unidade de terapia intensiva associa-se com readmissão, e identificar o nível desse escore que prediz com maior confiabilidade a readmissão à unidade de terapia intensiva dentro de 48 horas após a alta. Métodos: Este foi um estudo observacional retrospectivo a respeito do MEWS de pacientes que receberam alta da unidade de terapia intensiva. Comparamos dados demográficos, escores de severidade, características da doença crítica e MEWS de pacientes readmitidos e não readmitidos. Identificamos os fatores associados com a readmissão em um modelo de regressão logística. Construímos uma curva Característica de Operação do Receptor para o MEWS na predição da probabilidade de readmissão. Por fim, apresentamos o critério ideal com maior sensibilidade e especificidade. Resultados: A taxa de readmissões foi de 2,6%, e o MEWS foi preditor significante de readmissão, juntamente do tempo de permanência na unidade de terapia intensiva acima de 10 dias e traqueostomia. A curva Característica de Operação do Receptor relativa ao MEWS para predizer a probabilidade de readmissão teve área sob a curva de 0,82, e MEWS acima de 6 teve sensibilidade de 0,78 (IC95% 0,66 - 0,9) e especificidade de 0,9 (IC95% 0,87 - 0,93). Conclusão: O MEWS associa-se com readmissão à unidade de terapia intensiva, e o escore acima de 6 teve excelente precisão como preditor prognóstico.


ABSTRACT Objective: To evaluate the hypothesis that the Modified Early Warning Score (MEWS) at the time of intensive care unit discharge is associated with readmission and to identify the MEWS that most reliably predicts intensive care unit readmission within 48 hours of discharge. Methods: This was a retrospective observational study of the MEWSs of discharged patients from the intensive care unit. We compared the demographics, severity scores, critical illness characteristics, and MEWSs of readmitted and non-readmitted patients, identified factors associated with readmission in a logistic regression model, constructed a Receiver Operating Characteristic (ROC) curve of the MEWS in predicting the probability of readmission, and presented the optimum criterion with the highest sensitivity and specificity. Results: The readmission rate was 2.6%, and the MEWS was a significant predictor of readmission, along with intensive care unit length of stay > 10 days and tracheostomy. The ROC curve of the MEWS in predicting the readmission probability had an AUC of 0.82, and a MEWS > 6 carried a sensitivity of 0.78 (95%CI 0.66 - 0.9) and specificity of 0.9 (95%CI 0.87 - 0.93). Conclusion: The MEWS is associated with intensive care unit readmission, and a score > 6 has excellent accuracy as a prognostic predictor.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Patient Readmission/statistics & numerical data , Critical Illness , Early Warning Score , Intensive Care Units/statistics & numerical data , Patient Discharge , Prognosis , Severity of Illness Index , Tracheostomy/statistics & numerical data , Retrospective Studies , ROC Curve , Sensitivity and Specificity , Length of Stay
4.
Chinese Journal of Medical Instrumentation ; (6): 35-37, 2018.
Article in Chinese | WPRIM | ID: wpr-774475

ABSTRACT

With the improvement of the quality of clinical diagnosis and treatment, the traditional scheduled "ward round" mode cannot meet the demands for real-time monitoring of acute and critically ill patients. This paper introduces the Storm, a real-time data stream processing technology and its application in the real time disease early warning system. By collecting the clinical data flow and calculating the MEWS scores in real time, the system can identify the potential deterioration of the disease, and promptly notify the medical staff. Score calculation results can be stored for further analysis and presentation as well.


Subject(s)
Humans , Clinical Alarms , Critical Illness
5.
Chinese Journal of Emergency Medicine ; (12): 914-918, 2017.
Article in Chinese | WPRIM | ID: wpr-607876

ABSTRACT

Objective To explore the value of modified early warning score (MEWS) in clinical status assessment and outcome prediction of heat stroke patients.Methods The clinical data of 46 heat stroke patients were collected.According to the severity,the subjects were divided into mild group and severe group;and alternatively,according to the treatment outcomes,the subjects were also divided into survival group and death group.The MEWS at admission was employed for comparison of the differences in severity and outcome of heat stroke between groups.Receiver operating characteristic curve (ROC curve) was used to evaluate the accuracy of MEWS used at admission in assessing severity and predicting outcome of heat stroke patients.Results The results of MEWS calculated at admission in mild and severe heat stroke patients showed significant difference between them (3.00 ± 1.70 vs.6.85 ± 3.03,P =0.004).The area under the ROC curve (AUC) of MEWS got at admission for the diagnosis of severe heat stroke was 0.864 ± 0.056.The results of MEWS obtained at admission in survived and died heat stroke patients were 5.13 ± 2.96 and 9.25 ± 2.05,respectively (P =0.037).The AUC of MEWS used at admission for predicting the death of heat stroke patients was 0.867 ± 0.061.Conclusions The initial MEWS is useful to accurately assess and predict the outcome of heat stroke patients.Heat stroke patients with higher level of MEWS used at admission than 4.5 could be diagnosed as severe heat stroke,and whereas the value of MEWS got at admission higher than 7.5 could be the indicator of the poor prognosis.

6.
Journal of Medical Informatics ; (12): 11-14, 2017.
Article in Chinese | WPRIM | ID: wpr-669161

ABSTRACT

Taking the Sixth Affiliated Hospital of Sun Yat-Sen University as an example,the paper gives detailed examples in clinical and scientific research fields to indicate that the effective utilization of medical data through function reconstruction of the Electronic Medical Records (EMR) system not only brings conveniences to clinical and scientific researchers,but also strengthens medical protection for patients.

7.
Chinese Journal of Emergency Medicine ; (12): 470-473, 2014.
Article in Chinese | WPRIM | ID: wpr-447669

ABSTRACT

Objective To study the significance and feasibility of modified early warning scores (MEWS) assessing the conditions and death prediction among the pre-hospital acute poisoning patients.Methods We performed a prospective,observational study of the pre-hospital acute poisoning patients between January 1,2010 and December 31,2010.Data was collected to calculate the MEWS.Numeration data was presented in percentage by using chi-square test,and measurement data was expressed in mean with standard deviation,and P < 0.05 was considered to be different with statistical significance.Observation lasted for 90 days after admission to get the results as observation index and ROC was drew and the area under the curve and the predicting index were calculated.The patients without vital signs and unsuccessful resuscitation were not included in this study.Results It showed 287 person times with 0 ~ 6 scores,accounting 94.4%,17 person times with 7-13 scores,accounting 5.59%,among the dead patients,MEWS were more than those of the survival group with statistical significance (P < 0.05).The area under ROC was 0.99 indicating that MEWS≥7 was the board line for severe pre-hospital acute poisoning patients with sensitivity of 91.7%,specificity of 97.9%,accuracy of 97.7% and Youden of 0.896 for predicting death.It showed high significance of the application of MEWS in assessing acute poisoning patients and death prediction.Conclusions MEWS assess pre-hospital acute poisoning patients and predict death with good resolution and strong application significance,which is simple,practical and applicable.

8.
The Journal of Practical Medicine ; (24): 928-930, 2014.
Article in Chinese | WPRIM | ID: wpr-446400

ABSTRACT

Objective To explore the value of waring score of potential critical disease in predicting changes in condition of patients with multiple injuries. Methods From January 1, 2013 to July 31, 2013, all patients with multiple injuries were included prospectively. Patients were observed as soon as ICU admission. The waring score of potential critical disease and MEWS of all patients and the rates of changes in condition of patients were calculated then statistic analysis was performed. Results Of 50 patients enrolled, 44 were survived and 6 were died and 295 changes were found. The maximum , minimum median (P25, P75) of waring score of potential critical disease were 22, 0, 5 (3, 7). The maximum, minimum median (P25, P75) of MEWS were 12, 0, 4 (2, 6). The area under the ROC of waring score of potential critical disease was 0.880 (95% CI, 0.813-0.947, P < 0.001). Youden index was the biggest when waring score of potential critical disease was 6.5. The area under the ROC of MEWS was 0.767 (95% CI, 0.661-0.873, P < 0.001). Youden index was the biggest when MEWS was 5.5. Conclusion The waring score of potential critical disease was effective to predict changes in conditions of patients with multiple injuries and better than MEWS.

9.
Chinese Journal of Practical Nursing ; (36): 23-26, 2013.
Article in Chinese | WPRIM | ID: wpr-440766

ABSTRACT

Objective To evaluate the impact of programmed nursing intervention based on MEWS for potential accidents in critical patients.Methods The randomized controlled trials (RCT) on programmed nursing intervention based on MEWS for potential accidents in critical patients were collected using the databases of PubMed,Medline,FMJS,CNKI,Wanfang database,VIP.Data were analyzed with RevMan5.0 software.Results Four RCTs were included in the study.All were Chinese articles.The incidence of accidents in the intervention group was significandy lower than that of the control group,the difference was statistically significant.Conclusions Programmed nursing intervention based on MEWS can effectively reduce the potential accidents happened in critical patients.

10.
Chinese Journal of Emergency Medicine ; (12): 581-584, 2012.
Article in Chinese | WPRIM | ID: wpr-426148

ABSTRACT

Objective To study the feasibility of modified early warning scores (MEWS) for assessing the severity and death prediction in the pre-hospital traumatic patients.MethodsData of the prehospital traumatic patients admitted between January 1,2010 and December 31,2010 were collected and assessed onsite by using MEWS.Numeration data was presented in percentage by using chi-square test,and measurement data was xepressed in mean with standard deviation,and P < 0.05 was considered to be difference with statistical significance.Observation was lasted for 90 days after admission to get final results as observation object and ROC curve was drew and calculated the area under the curve for predicting severity and death of patients.The patients without vital signs and unsuccessful resuscitations were not included in this study.ResultsThere were 1475 (87.95%) cases/times with score of 0 -2,and 202 (12.05%)cases/times with score of 3 - 13.In the non-survival group,MEWS were higher than that in the survival group with statistic significance ( P < 0.01 ).When the area under ROC was 0.94,the optimal cutoff point for potentially severe patients was MEWS≥3 for predicting the death of severe pre-hospital traumatic patients with sensitivity of 85.7%,specificity of 88.6%,accuracy of 88.6% and Youden of 0.743,showing high significance of the application of MEWS to assessing severity of traumatic patients and death prediction.ConclusionsMEWS used to assess the pre-hospital traumatic patients and predict death with high validity and accurate quantification is a simple,practical and easily operable method with strong application significance.

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