Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 235
Filtrar
1.
BMC Health Serv Res ; 21(1): 957, 2021 Sep 13.
Artigo em Inglês | MEDLINE | ID: mdl-34511131

RESUMO

BACKGROUND: The novel coronavirus SARS-19 produces 'COVID-19' in patients with symptoms. COVID-19 patients admitted to the hospital require early assessment and care including isolation. The National Early Warning Score (NEWS) and its updated version NEWS2 is a simple physiological scoring system used in hospitals, which may be useful in the early identification of COVID-19 patients. We investigate the performance of multiple enhanced NEWS2 models in predicting the risk of COVID-19. METHODS: Our cohort included unplanned adult medical admissions discharged over 3 months (11 March 2020 to 13 June 2020 ) from two hospitals (YH for model development; SH for external model validation). We used logistic regression to build multiple prediction models for the risk of COVID-19 using the first electronically recorded NEWS2 within ± 24 hours of admission. Model M0' included NEWS2; model M1' included NEWS2 + age + sex, and model M2' extends model M1' with subcomponents of NEWS2 (including diastolic blood pressure + oxygen flow rate + oxygen scale). Model performance was evaluated according to discrimination (c statistic), calibration (graphically), and clinical usefulness at NEWS2 ≥ 5. RESULTS: The prevalence of COVID-19 was higher in SH (11.0 %=277/2520) than YH (8.7 %=343/3924) with a higher first NEWS2 scores ( SH 3.2 vs YH 2.8) but similar in-hospital mortality (SH 8.4 % vs YH 8.2 %). The c-statistics for predicting the risk of COVID-19 for models M0',M1',M2' in the development dataset were: M0': 0.71 (95 %CI 0.68-0.74); M1': 0.67 (95 %CI 0.64-0.70) and M2': 0.78 (95 %CI 0.75-0.80)). For the validation datasets the c-statistics were: M0' 0.65 (95 %CI 0.61-0.68); M1': 0.67 (95 %CI 0.64-0.70) and M2': 0.72 (95 %CI 0.69-0.75) ). The calibration slope was similar across all models but Model M2' had the highest sensitivity (M0' 44 % (95 %CI 38-50 %); M1' 53 % (95 %CI 47-59 %) and M2': 57 % (95 %CI 51-63 %)) and specificity (M0' 75 % (95 %CI 73-77 %); M1' 72 % (95 %CI 70-74 %) and M2': 76 % (95 %CI 74-78 %)) for the validation dataset at NEWS2 ≥ 5. CONCLUSIONS: Model M2' appears to be reasonably accurate for predicting the risk of COVID-19. It may be clinically useful as an early warning system at the time of admission especially to triage large numbers of unplanned hospital admissions.


Assuntos
COVID-19 , Escore de Alerta Precoce , Adulto , Hospitais , Humanos , Admissão do Paciente , Estudos Retrospectivos , SARS-CoV-2
2.
Br J Radiol ; 94(1126): 20210187, 2021 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-34545760

RESUMO

OBJECTIVES: The World Health Organization (WHO) has declared coronavirus disease 2019 (COVID-19) as pandemic in March 2020. Currently there is no specific effective treatment for COVID-19. The major cause of death in COVID-19 is severe pneumonia leading to respiratory failure. Radiation in low doses (<100 cGy) has been known for its anti-inflammatory effect and therefore, low dose radiation therapy (LDRT) to lungs can potentially mitigate the severity of pneumonia and reduce mortality. We conducted a pilot trial to study the feasibility and clinical efficacy of LDRT to lungs in the management of patients with COVID-19. METHODS: From June to Aug 2020, we enrolled 10 patients with COVID-19 having moderate to severe risk disease [National Early Warning Score (NEWS) of ≥5]. Patients were treated as per the standard COVID-19 management guidelines along with LDRT to both lungs with a dose of 70cGy in single fraction. Response assessment was done based on the clinical parameters using the NEWS. RESULTS: All patients completed the prescribed treatment. Nine patients had complete clinical recovery mostly within a period ranging from 3 to 7 days. One patient, who was a known hypertensive, showed clinical deterioration and died 24 days after LDRT. No patients showed the signs of acute radiation toxicity. CONCLUSION: The results of our pilot study suggest that LDRT is feasible in COVID-19 patients having moderate to severe disease. Its clinical efficacy may be tested by conducting randomized controlled trials. ADVANCES IN KNOWLEDGE: LDRT has shown promising results in COVID-19 pneumonia and should be researched further through randomized controlled trials.


Assuntos
COVID-19/radioterapia , Pneumonia Viral/radioterapia , Adulto , Idoso , Escore de Alerta Precoce , Estudos de Viabilidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Projetos Piloto , Pneumonia Viral/virologia , Dosagem Radioterapêutica , SARS-CoV-2
3.
BMJ Open ; 11(9): e045579, 2021 09 13.
Artigo em Inglês | MEDLINE | ID: mdl-34518247

RESUMO

OBJECTIVES: To investigate whether National Early Warning Scores (NEWS/NEWS2) could contribute to COVID-19 surveillance in care homes. SETTING: 460 care home units using the same software package to collect data on residents, from 46 local authority areas in England. PARTICIPANTS: 6464 care home residents with at least one NEWS recording. EXPOSURE MEASURE: 29 656 anonymised person-level NEWS from 29 December 2019 to 20 May 2020 with component physiological measures: systolic blood pressure, respiratory rate, pulse rate, temperature and oxygen saturation. Baseline values for each measure calculated using 80th and 20th centile scores before March 2020. OUTCOME MEASURE: Cross-correlation comparison of time series with Office for National Statistics weekly reported registered deaths of care home residents where COVID-19 was the underlying cause of death, and all other deaths (excluding COVID-19) up to 10 May 2020. RESULTS: Deaths due to COVID-19 were registered from 23 March 2020 in the local authority areas represented in the study. Between 23 March 2020 and 10 May 2020, there were 5753 deaths (1532 involving COVID-19 and 4221 other causes). We observed a rise in the proportion of above-baseline NEWS beginning 16 March 2020, followed 2 weeks later by an increase in registered deaths (cross-correlation of r=0.82, p<0.05 for a 2 week lag) in corresponding local authorities. The proportion of above-baseline oxygen saturation, respiratory rate and temperature measurements also increased approximately 2 weeks before peaks in deaths. CONCLUSIONS: NEWS could contribute to COVID-19 disease surveillance in care homes during the pandemic. Oxygen saturation, respiratory rate and temperature could be prioritised as they appear to signal rise in mortality almost as well as NEWS. This study reinforces the need to collate data from care homes, to monitor and protect residents' health. Further work using individual level outcome data is needed to evaluate the role of NEWS in the early detection of resident illness.


Assuntos
COVID-19 , Escore de Alerta Precoce , Inglaterra/epidemiologia , Humanos , Pandemias , SARS-CoV-2
4.
Am J Emerg Med ; 46: 355-360, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34348435

RESUMO

BACKGROUND: In the pre-hospital setting the early identification of septic shock (SS) patients presenting with a high risk of poor outcome remains a daily challenge. The development of a simple score to quickly identify these patients is essential to optimize triage towards the appropriate unit: emergency department (ED) or intensive care unit (ICU). We report the association between the new SIGARC score and in-hospital, 30 and 90-day mortality of SS patients cared for in the pre-hospital setting by a mobile ICU (MICU). METHODS: SS patients cared for by a MICU between 2017, April 15th, and 2019, December 1st were included in this retrospective study. The SIGARC score consists of the addition of 5 following items (1 point for each one): shock index≥1, Glasgow coma scale<13, age > 65, respiratory rate > 22 and comorbidity defined by the presence of at least 2 underlying conditions among: hypertension, coronaropathy, chronic cardiac failure, chronic renal failure, chronic obstructive pulmonary disease, diabetes mellitus, history of cancer and human immunodeficiency virus infection. A threshold of SIGARC score ≥ 2 was arbitrarily chosen to define severity for its usefulness in clinical practice. RESULTS: Data from 406 SS patients requiring MICU intervention in the pre-hospital setting were analysed. The mean age was 71 ± 15 years and 268 of the patients (66%) were male. The presumed origin of SS was pulmonary (42%), digestive (25%) or urinary (17%) infection. Overall in-hospital mortality was 31% with, 30 and 90-day mortality was respectively 28% and 33%. A prehospital SIGARC score ≥ 2 is associated with an increase in 30 and 90-day mortality with HR = 1.57 [1.02-2.42] and 1.82 [1.21-2.72], respectively. CONCLUSION: A SIGARC score ≥ 2 is associated with an increase in in-hospital, 30 and 90-day mortality of SS patients cared for by a MICU in the prehospital setting. These observational results need to be confirmed by prospective studies.


Assuntos
Escore de Alerta Precoce , Serviços Médicos de Emergência , Mortalidade Hospitalar , Choque Séptico/diagnóstico , Choque Séptico/mortalidade , Idoso , Feminino , França/epidemiologia , Humanos , Masculino , Valor Preditivo dos Testes , Estudos Retrospectivos , Choque Séptico/terapia
5.
Fam Pract ; 38(Suppl 1): i3-i8, 2021 Aug 27.
Artigo em Inglês | MEDLINE | ID: mdl-34448485

RESUMO

BACKGROUND: Primary care has played a central role in the community response to the coronavirus disease-19 (COVID-19) pandemic. The use of the National Early Warning Score 2 (NEWS2) has been advocated as a tool to guide escalation decisions in the community. The performance of this tool applied in this context is unclear. AIM: To evaluate the process of escalation of care to the hospital within a primary care assessment centre (PCAC) designed to assess patients with suspected COVID-19 in the community. DESIGN AND SETTING: A retrospective service evaluation of all adult patients assessed between 30 March and 22 April 2020 within a COVID-19 primary care assessment centre within Sandwell West Birmingham CCG. METHOD: A database of patient demographics, healthcare interactions and physiological observations was constructed. NEWS2 and CRB65 scores were calculated retrospectively. The proportion of patients escalated was within risk groups defined by NHSE guidelines in place during the evaluation period was determined. RESULTS: A total of 150 patients were identified. Following assessment 13.3% (n = 20) patients were deemed to require escalation. The proportion of patients escalated with a NEWS2 greater than or equal to 3 was 46.9% (95% CI 30.8-63.6%). The proportion of patients escalated to secondary care using NHSE defined risk thresholds was 0% in the green group, 22% (n = 4) in the amber group, and 81.3% (n = 13) in the red group. CONCLUSION: Clinical decisions to escalate care to the hospital did not follow initial guidance written for the COVID-19 outbreak but were demonstrated to be safe.


Assuntos
COVID-19/epidemiologia , Escore de Alerta Precoce , Hospitalização/estatística & dados numéricos , Atenção Primária à Saúde , Encaminhamento e Consulta/estatística & dados numéricos , Adulto , Inglaterra/epidemiologia , Feminino , Fidelidade a Diretrizes , Pesquisa sobre Serviços de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Estudos Retrospectivos , Medição de Risco , SARS-CoV-2
6.
Medicina (B Aires) ; 81(4): 508-526, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34453792

RESUMO

Pandemics pose a major challenge for public health preparedness, requiring a coordinated international response and the development of solid containment plans. Early and accurate identification of high-risk patients in the course of the current COVID-19 pandemic is vital for planning and making proper use of available resources. The purpose of this study was to identify the key variables that account for worse outcomes to create a predictive model that could be used effectively for triage. Through literature review, 44 variables that could be linked to an unfavorable course of COVID-19 disease were obtained, including clinical, laboratory, and X-ray variables. These were used for a 2-round modified Delphi processing with 14 experts to select a final list of variables with the greatest predictive power for the construction of a scoring system, leading to the creation of a new scoring system: the COVID-19 Severity Index. The analysis of the area under the curve for the COVID-19 Severity Index was 0.94 to predict the need for ICU admission in the following 24 hours against 0.80 for NEWS-2. Additionally, the digital medical record of the Hospital Italiano de Buenos Aires was electronically set for an automatic calculation and constant update of the COVID-19 Severity Index. Specifically designed for the current COVID-19 pandemic, COVID-19 Severity Index could be used as a reliable tool for strategic planning, organization, and administration of resources by easily identifying hospitalized patients with a greater need of intensive care.


Assuntos
COVID-19 , Escore de Alerta Precoce , Humanos , Pandemias , SARS-CoV-2 , Triagem
7.
BMJ Open ; 11(7): e045469, 2021 07 27.
Artigo em Inglês | MEDLINE | ID: mdl-34315790

RESUMO

BACKGROUND: The COVID-19 pandemic has taken a heavy toll on the care home sector, with residents accounting for up to half of all deaths in Europe. The response to acute illness in care homes plays a particularly important role in the care of residents during a pandemic. Digital recording of a National Early Warning Score (NEWS), which involves the measurement of physical observations, started in care homes in one area of England in 2016. Implementation of a NEWS intervention (including equipment, training and support) was accelerated early in the pandemic, despite limited evidence for its use in the care home setting. OBJECTIVES: To understand how a NEWS intervention has been used in care homes in one area of North-East England during the COVID-19 pandemic, and how it has influenced resident care, from the perspective of stakeholders involved in care delivery and commissioning. METHODS: A qualitative interview study with care home (n=10) and National Health Service (n=7) staff. Data were analysed using thematic analysis. RESULTS: Use of the NEWS intervention in care homes in this area accelerated during the COVID-19 pandemic. Stakeholders felt that NEWS, and its associated education and support package, improved the response of care homes and healthcare professionals to deterioration in residents' health during the pandemic. Healthcare professionals valued the ability to remotely monitor resident observations, which facilitated triage and treatment decisions. Care home staff felt empowered by NEWS, providing a common clinical language to communicate concerns with external services, acting as an adjunct to staff intuition of resident deterioration. CONCLUSIONS: The NEWS intervention formed an important part of the care home response to COVID-19 in the study area. Positive staff perceptions now need to be supplemented with data on the impact on resident health and well-being, workload, and service utilisation, during the pandemic and beyond.


Assuntos
COVID-19 , Escore de Alerta Precoce , Inglaterra/epidemiologia , Europa (Continente) , Humanos , Casas de Saúde , Pandemias , SARS-CoV-2 , Medicina Estatal
8.
Emerg Med J ; 38(8): 587-593, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34083427

RESUMO

BACKGROUND: The WHO and National Institute for Health and Care Excellence recommend various triage tools to assist decision-making for patients with suspected COVID-19. We aimed to compare the accuracy of triage tools for predicting severe illness in adults presenting to the ED with suspected COVID-19. METHODS: We undertook a mixed prospective and retrospective observational cohort study in 70 EDs across the UK. We collected data from people attending with suspected COVID-19 and used presenting data to determine the results of assessment with the WHO algorithm, National Early Warning Score version 2 (NEWS2), CURB-65, CRB-65, Pandemic Modified Early Warning Score (PMEWS) and the swine flu adult hospital pathway (SFAHP). We used 30-day outcome data (death or receipt of respiratory, cardiovascular or renal support) to determine prognostic accuracy for adverse outcome. RESULTS: We analysed data from 20 891 adults, of whom 4611 (22.1%) died or received organ support (primary outcome), with 2058 (9.9%) receiving organ support and 2553 (12.2%) dying without organ support (secondary outcomes). C-statistics for the primary outcome were: CURB-65 0.75; CRB-65 0.70; PMEWS 0.77; NEWS2 (score) 0.77; NEWS2 (rule) 0.69; SFAHP (6-point rule) 0.70; SFAHP (7-point rule) 0.68; WHO algorithm 0.61. All triage tools showed worse prediction for receipt of organ support and better prediction for death without organ support. At the recommended threshold, PMEWS and the WHO criteria showed good sensitivity (0.97 and 0.95, respectively) at the expense of specificity (0.30 and 0.27, respectively). The NEWS2 score showed similar sensitivity (0.96) and specificity (0.28) when a lower threshold than recommended was used. CONCLUSION: CURB-65, PMEWS and the NEWS2 score provide good but not excellent prediction for adverse outcome in suspected COVID-19, and predicted death without organ support better than receipt of organ support. PMEWS, the WHO criteria and NEWS2 (using a lower threshold than usually recommended) provide good sensitivity at the expense of specificity. TRIAL REGISTRATION NUMBER: ISRCTN56149622.


Assuntos
COVID-19/terapia , Serviço Hospitalar de Emergência , Pneumonia Viral/terapia , Triagem/métodos , Idoso , COVID-19/epidemiologia , Escore de Alerta Precoce , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/epidemiologia , Pneumonia Viral/virologia , Valor Preditivo dos Testes , Prognóstico , Estudos Prospectivos , Estudos Retrospectivos , SARS-CoV-2 , Reino Unido
9.
Medicine (Baltimore) ; 100(19): e25917, 2021 May 14.
Artigo em Inglês | MEDLINE | ID: mdl-34106657

RESUMO

ABSTRACT: The coronavirus disease (COVID-19) has become a global pandemic. Invasive mechanical ventilation is recommended for the management of patients with COVID-19 who have severe respiratory symptoms. However, various complications can develop after its use. The efficient and appropriate management of patients requires the identification of factors associated with an aggravation of COVID-19 respiratory symptoms to a degree where invasive mechanical ventilation becomes necessary, thereby enabling clinicians to prevent such ventilation. This retrospective study included 138 inpatients with COVID-19 at a tertiary hospital. We evaluated the differences in the demographic and clinical data between 27 patients who required invasive mechanical ventilation and 111 patients who did not. Multivariate logistic regression analysis indicated that the duration of fever, national early warning score (NEWS), and lactate dehydrogenase (LDH) levels on admission were significantly associated with invasive mechanical ventilation in this cohort. The optimal cut-off values were: fever duration ≥1 day (sensitivity 100.0%, specificity 54.95%), NEWS ≥7 (sensitivity 72.73%, specificity 92.52%), and LDH >810 mg/dL (sensitivity 56.0%, specificity 90.29%). These findings can assist in the early identification of patients who will require invasive mechanical ventilation. Further studies in larger patient populations are recommended to validate our findings.


Assuntos
COVID-19/fisiopatologia , Escore de Alerta Precoce , Respiração Artificial/estatística & dados numéricos , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Antivirais/uso terapêutico , COVID-19/tratamento farmacológico , Feminino , Febre/fisiopatologia , Humanos , Hidroxicloroquina/uso terapêutico , L-Lactato Desidrogenase/sangue , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Pandemias , Reação em Cadeia da Polimerase em Tempo Real , República da Coreia , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , SARS-CoV-2 , Fatores Sexuais , Fatores Socioeconômicos , Centros de Atenção Terciária , Adulto Jovem
10.
BMJ Open ; 11(6): e044496, 2021 06 11.
Artigo em Inglês | MEDLINE | ID: mdl-34117044

RESUMO

OBJECTIVE: During the influenza epidemic season, the fragile elderlies are not only susceptible to influenza infections, but are also more likely to develop severe symptoms and syndromes. Such circumstances may pose a significant burden to the medical resources especially in the emergency department (ED). Disposition of the elderly patients with influenza infections to either the ward or intensive care unit (ICU) accurately is therefore a crucial issue. STUDY DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Elderly patients (≥65 years) with influenza visiting the ED of a medical centre between 1 January 2010 and 31 December 2015. PRIMARY OUTCOME MEASURES: Demographic data, vital signs, medical history, subtype of influenza, national early warning score (NEWS) and outcomes (mortality) were analysed. We investigated the ability of NEWS to predict ICU admission via logistic regression and the receiver operating characteristic (ROC) analysis. RESULTS: We included 409 geriatric patients in the ED with a mean age of 79.5 years and approximately equal sex ratio. The mean NEWS ±SD was 3.4±2.9, and NEWS ≥8 was reported in 11.0% of the total patients. Logistic regression revealed that NEWS ≥8 predicted ICU admission with an OR of 5.37 (95% CI 2.61 to 11.04). The Hosmer-Lemeshow goodness-of-fit test was calculated as 0.95, and the adjusted area under the ROC was 0.72. An NEWS ≥8 is associated with ICU-admission and may help to triage elderly patients with influenza infections during the influenza epidemic season. CONCLUSION: The high specificity of NEWS ≥8 to predict ICU admission in elderly patients with influenza infection during the epidemic season may avoid unnecessary ICU admissions and ensure proper medical resource allocation.


Assuntos
Escore de Alerta Precoce , Influenza Humana , Idoso , Serviço Hospitalar de Emergência , Mortalidade Hospitalar , Humanos , Influenza Humana/diagnóstico , Influenza Humana/epidemiologia , Unidades de Terapia Intensiva , Curva ROC , Estudos Retrospectivos , Estações do Ano
11.
J Infect Dev Ctries ; 15(5): 639-345, 2021 05 31.
Artigo em Inglês | MEDLINE | ID: mdl-34106886

RESUMO

Venous thromboembolism (VTE) represents an important clinical complication of patients with SARS-CoV-2 infection, and high plasma D-dimer levels could suggest a higher risk of hypercoagulability. We aimed to analyse if laboratory exams, risk assessment scores, comorbidity scores were useful in predicting the VTE in SARS-CoV-2 patients admitted in internal medicine (IM). We evaluated 49 older adults with suspected VTE analysing history and blood chemistry, besides we calculated the Padua Prediction Score, the modified early warning scoring (MEWS) and the modified Elixhauser index (mEI). All patients underwent venous color-doppler ultrasounds of the lower limbs. Out of the 49 patients enrolled (mean age 79.3±14 years), 10 (20.4%) had deep vein thrombosis (DVT), and they were more frequently female (80% vs 20%, p = 0.04). We could not find any association with the Padua Prediction Score, the MEWS, and the mEI. D-dimer plasma levels were also not associated with DVT. In elderly people hospitalized with SARS-CoV-2 infection hospitalized in IM, our data, although limited by the sample size, suggest that prediction and diagnosis of VTE is difficult, due to lack of precise biomarkers and scores.


Assuntos
COVID-19/complicações , Tromboembolia Venosa/diagnóstico , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/sangue , Estudos de Casos e Controles , Escore de Alerta Precoce , Feminino , Produtos de Degradação da Fibrina e do Fibrinogênio/metabolismo , Humanos , Extremidade Inferior/diagnóstico por imagem , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Medição de Risco , SARS-CoV-2 , Ultrassonografia Doppler em Cores , Tromboembolia Venosa/sangue , Tromboembolia Venosa/etiologia
12.
Rev. colomb. obstet. ginecol ; 72(2): 171-190, Apr.-June 2021. tab, graf
Artigo em Espanhol | LILACS | ID: biblio-1289315

RESUMO

Resumen Introducción y objetivo: Una importante proporción de pacientes hospitalizados presenta deterioro clínico severo que puede terminar en eventos adversos, paro cardíaco no esperado, o muerte; para reducir su frecuencia y prevenir sus consecuencias se han creado los equipos de respuesta rápida (ERR). El objetivo de esta revisión de alcance es describir la conformación, funcionamiento y resultados de la implementación de los ERR en el contexto hospitalario, con énfasis en los servicios de cirugía ginecológica y atención obstetricia. Materiales y métodos: Se llevó a cabo una búsqueda en las bases de datos de literatura médica Medline vía Pubmed, Embase vía OVID, LILACS, Cochrane Library y Open Gray. Se incluyeron estudios observacionales descriptivos y analíticos, estudios experimentales y estudios cualitativos que incluyeron ERR en instituciones de salud de alta complejidad u hospitales universitarios. Dos investigadores seleccionaron los estudios y extrajeron los datos respecto a la conformación, funcionamiento, los criterios de activación del equipo, los tiempos de respuesta o las herramientas de evaluación de su desempeño. No se hicieron restricciones de fecha o estado de publicación. Se incluyeron estudios en inglés, español y portugués. Se hace síntesis narrativa de los hallazgos. Resultados: La búsqueda arrojó 15,833 títulos, un total de 15 estudios cumplieron con los criterios de inclusión. Solo un estudio menciona el uso de los ERR en servicios de obstetricia. La conformación de los ERR es multidisciplinaria y están disponibles al menos 12 horas cada día. Sus funciones son la identificación temprana de pacientes con deterioro de la condición, especialmente en áreas por fuera de la unidad de cuidados intensivos y de pacientes con condiciones subyacentes o eventos desencadenantes que aumentan el riesgo de paro cardíaco. Además, implementan intervenciones rápidas multifacéticas que incluyen tratamientos farmacológicos, procedimientos cardiopulmonares, y desarrollan actividades de comunicación y formación. Se dispone de herramientas para la activación y evaluación de los procesos asistenciales. Conclusión: La estructura y las funciones del ERR están claramente descritas, lo que permite que sean ensamblados en hospitales de alta complejidad. Se deben realizar más investigaciones sobre los beneficios y riesgos del uso de los ERR para mitigar los daños en pacientes con EREND y comparar la efectividad y seguridad entre la activación de códigos y las estrategias de ERR en los servicios de obstetricia.


Abstract Introduction and Objective: A significant proportion of hospitalized patients experience severe clinical deterioration that may result in adverse events, unexpected cardiac arrest, or death. Rapid response teams (RRTs) have been created to reduce the frequency and prevent the consequences of these events. The objective of this scoping review is to describe the structure, role and results of the implementation of RRTs in the hospital context, with a focus on gynecological surgery and obstetric care. Materials and methods: A search was conducted in the Medline via Pubmed, Embase via OVID, LILACS, Cochrane Library and Open Gray medical databases. The search included descriptive and analytical observational studies, experimental studies and qualitative studies that included RRTs in high complexity healthcare institutions or teaching hospitals. Two researchers selected the studies and extracted data pertaining to the structure, roles and team activation criteria, response times or tools to assess their performance. No date or publication status restrictions were applied. Studies in English, Spanish and Portuguese were included. A narrative synthesis of the findings is made. Results: Overall, 15,833 titles were retrieved, of which 15 studies met the inclusion criteria. Only one study mentions the use of RRTs in obstetric services. RRTs have a multidisciplinary structure and they must be available at least 12 hours a day. The roles of RRTs include identification of patients who are deteriorating, especially outside the intensive care setting, and of patients with underlying conditions or triggering events that increase the risk of cardiac arrest. In addition, they implement rapid multifaceted interventions that include pharmacological treatments, cardiopulmonary procedures, and they develop communication and training activities. Tools for team activation and care process assessment are available. Conclusion: The structure and roles of RRTs are clearly described, making it possible to assemble them in high complexity hospitals. Further research is required to explore risks and benefits of using RRTs to mitigate harm in patients with adverse events and to compare effectiveness and safety between code activation and RRT strategies in obstetrics services.


Assuntos
Humanos , Feminino , Equipe de Respostas Rápidas de Hospitais , Gestão de Riscos , Segurança do Paciente , Deterioração Clínica , Escore de Alerta Precoce
13.
Emerg Med J ; 38(7): 543-548, 2021 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-34021028

RESUMO

INTRODUCTION: COVID-19 has an unpredictable clinical course, so prognostic biomarkers would be invaluable when triaging patients on admission to hospital. Many biomarkers have been suggested using large observational datasets but sample timing is crucial to ensure prognostic relevance. The DISCOVER study prospectively recruited patients with COVID-19 admitted to a UK hospital and analysed a panel of putative prognostic biomarkers on the admission blood sample to identify markers of poor outcome. METHODS: Consecutive patients admitted to hospital with proven or clinicoradiological suspected COVID-19 were consented. Admission bloods were extracted from the clinical laboratory. A panel of biomarkers (interleukin-6 (IL-6), soluble urokinase plasminogen activator receptor (suPAR), Krebs von den Lungen 6, troponin, ferritin, lactate dehydrogenase, B-type natriuretic peptide, procalcitonin) were performed in addition to routinely performed markers (C reactive protein (CRP), neutrophils, lymphocytes, neutrophil:lymphocyte ratio). Age, National Early Warning Score (NEWS2), CURB-65 and radiographic severity score on initial chest radiograph were included as comparators. All biomarkers were tested in logistic regression against a composite outcome of non-invasive ventilation, intensive care admission or death, with area under the curve (AUC) (figures calculated). RESULTS: 187 patients had 28-day outcomes at the time of analysis. CRP (AUC: 0.69, 95% CI: 0.59 to 0.78), lymphocyte count (AUC: 0.62, 95% CI: 0.53 to 0.72) and other routine markers did not predict the primary outcome. IL-6 (AUC: 0.77, 0.65 to 0.88) and suPAR (AUC: 0.81, 0.72 to 0.88) showed some promise, but simple clinical features alone such as NEWS2 score (AUC: 0.70, 0.60 to 0.79) or age (AUC: 0.70, 0.62 to 0.77) performed nearly as well. DISCUSSION: Admission blood biomarkers have only moderate predictive value for predicting COVID-19 outcomes, while simple clinical features such as age and NEWS2 score outperform many biomarkers. IL-6 and suPAR had the best performance, and further studies should focus on the additive value of these biomarkers to routine care.


Assuntos
Biomarcadores/sangue , COVID-19/mortalidade , Fatores Etários , Idoso , Estudos de Coortes , Escore de Alerta Precoce , Feminino , Hospitalização , Humanos , Interleucina-6/sangue , Masculino , Pessoa de Meia-Idade , Prognóstico , Receptores de Ativador de Plasminogênio Tipo Uroquinase/sangue , Reino Unido/epidemiologia
15.
Crit Care Med ; 49(10): e961-e967, 2021 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-33935165

RESUMO

OBJECTIVES: To determine whether a statistically derived, trend-based, deterioration index is superior to other early warning scores at predicting adverse events and whether it can be integrated into an electronic medical record to enable real-time alerts. DESIGN: Forty-three variables and their trends from cases and controls were used to develop a logistic model and deterioration index to predict patient deterioration greater than or equal to 1 hour prior to an adverse event. SETTING: Two large Australian teaching hospitals. PATIENTS: Cases were considered as patients who suffered adverse events (unexpected death, unplanned ICU transfer, urgent surgery, and rapid-response alert) between August 1, 2016, and April 1, 2019. INTERVENTIONS: The logistic model and deterioration index were tested on historical data and then integrated into an electronic medical record for a 6-month prospective "silent" validation. MEASUREMENTS AND MAIN RESULTS: Data were acquired from 258,732 admissions. There were 8,002 adverse events. The addition of vital sign and laboratory trend values to the logistic model increased the area under the curve from 0.84 to 0.89 and the sensitivity to predict an adverse event 1-48 hours prior from 0.35 to 0.41. A 48-hour simulation showed that the logistic model had a higher area under the curve than the Modified Early Warning Score and National Early Warning Score (0.87 vs 0.74 vs 0.71). During the silently run prospective trial, the sensitivity of the deterioration index to detect adverse event any time prior to the adverse event was 0.474, 0.369 1 hour prior, and 0.327 4 hours prior, with a specificity of 0.972. CONCLUSIONS: A deterioration prediction model was developed using patient demographics, ward-based observations, laboratory values, and their trends. The model's outputs were converted to a deterioration index that was successfully integrated into a live hospital electronic medical record. The sensitivity and specificity of the tool to detect inpatient deterioration were superior to traditional early warning scores.


Assuntos
Deterioração Clínica , Escore de Alerta Precoce , Registros Eletrônicos de Saúde/instrumentação , Medição de Risco/normas , Área Sob a Curva , Registros Eletrônicos de Saúde/normas , Registros Eletrônicos de Saúde/tendências , Humanos , Modelos Logísticos , New South Wales , Simulação de Paciente , Estudos Prospectivos , Curva ROC , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Sensibilidade e Especificidade
18.
BMJ Open ; 11(5): e044091, 2021 05 04.
Artigo em Inglês | MEDLINE | ID: mdl-33947731

RESUMO

OBJECTIVE: Paediatric Early Warning Scores (PEWS) are widely used in the UK, but the heterogeneity across tools and the limited data on their predictive performance represent obstacles to improving best practice. The standardisation of practice through the proposed National PEWS will rely on robust validation. Therefore, we compared the performance of the National PEWS with six other PEWS currently used in NHS hospitals, for their ability to predict critical care (CC) admission in febrile children attending the emergency department (ED). DESIGN: Retrospective single-centre cohort study. SETTING: Tertiary hospital paediatric ED. PARTICIPANTS: A total of 11 449 eligible febrile ED attendances were identified from the electronic patient record over a 2-year period. Seven PEWS scores were calculated (Alder Hey, Bedside, Bristol, National, Newcastle and Scotland PEWS, and the Paediatric Observation Priority Score, using the worst observations recorded during their ED stay. OUTCOMES: The primary outcome was CC admission within 48 hours, the secondary outcomes were hospital length of stay (LOS) >48 hours and sepsis-related mortality. RESULTS: Of 11 449 febrile children, 134 (1.2%) were admitted to CC within 48 hours of ED presentation, 606 (5.3%) had a hospital LOS >48 hours. 10 (0.09%) children died, 5 (0.04%) were sepsis-related. All seven PEWS demonstrated excellent discrimination for CC admission (range area under the receiver operating characteristic curves (AUC) 0.91-0.95) and sepsis-related mortality (range AUC 0.95-0.99), most demonstrated moderate discrimination for hospital LOS (range AUC 0.69-0.75). In CC admission threshold analyses, bedside PEWS (AUC 0.90; 95% CI 0.86 to 0.93) and National PEWS (AUC 0.90; 0.87-0.93) were the most discriminative, both at a threshold of ≥6. CONCLUSIONS: Our results support the use of the proposed National PEWS in the paediatric ED for the recognition of suspected sepsis to improve outcomes, but further validation is required in other settings and presentations.


Assuntos
Escore de Alerta Precoce , Criança , Estudos de Coortes , Cuidados Críticos , Serviço Hospitalar de Emergência , Humanos , Estudos Retrospectivos , Escócia
19.
J Emerg Med ; 61(1): 1-11, 2021 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-33812727

RESUMO

BACKGROUND: Several studies reported that the National Early Warning Score (NEWS) has shown superiority over other screening tools in discriminating emergency department (ED) patients who are likely to progress to septic shock. OBJECTIVES: To improve the performance of the NEWS for septic shock prediction by adding variables collected during ED triage, and to implement a machine-learning algorithm. METHODS: The study population comprised adult ED patients with suspected infection. To detect septic shock within 24 h after ED arrival, the Sepsis-3 clinical criteria and nine variables were used: NEWS, age, gender, systolic blood pressure, diastolic blood pressure, pulse rate, respiratory rate, body temperature, and oxygen saturation. The model was developed using logistic regression (LR), extreme gradient boosting (XGB), and artificial neural network (ANN) algorithms. The evaluations were performed using an area under the receiver operating characteristic curve (AUROC), Hosmer-Lemeshow test, and net reclassification index (NRI). RESULTS: Overall, 41,687 patients were enrolled. The AUROC of the model with NEWS, age, gender, and the six vital signs (0.835-0.845) was better than that of the baseline model (0.804). The XGB model (AUROC 0.845) was the most accurate, compared with LR (0.844) and ANN (0.835). The LR and XGB models were well calibrated; however, the ANN showed poor calibration power. The LR and XGB models showed better reclassification than the baseline model with positive NRI. CONCLUSION: The discrimination power of the model for screening septic shock using NEWS, age, gender, and the six vital signs collected at ED triage outperformed the baseline NEWS model.


Assuntos
Escore de Alerta Precoce , Choque Séptico , Adulto , Serviço Hospitalar de Emergência , Humanos , Aprendizado de Máquina , Curva ROC , Estudos Retrospectivos , Choque Séptico/diagnóstico , Triagem
20.
Säo Paulo med. j ; 139(2): 170-177, Mar.-Apr. 2021. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1181006

RESUMO

ABSTRACT BACKGROUND: Healthcare institutions are confronted with large numbers of patient admissions during large-scale or long-term public health emergencies like pandemics. Appropriate and effective triage is needed for effective resource use. OBJECTIVES: To evaluate the effectiveness of the Pandemic Medical Early Warning Score (PMEWS), Simple Triage Scoring System (STSS) and Confusion, Uremia, Respiratory rate, Blood pressure and age ≥ 65 years (CURB-65) score in an emergency department (ED) triage setting. DESIGN AND SETTING: Retrospective study in the ED of a tertiary-care university hospital in Düzce, Turkey. METHODS: PMEWS, STSS and CURB-65 scores of patients diagnosed with COVID-19 pneumonia were calculated. Thirty-day mortality, intensive care unit (ICU) admission, mechanical ventilation (MV) need and outcomes were recorded. The predictive accuracy of the scores was assessed using receiver operating characteristic curve analysis. RESULTS: One hundred patients with COVID-19 pneumonia were included. The 30-day mortality was 6%. PMEWS, STSS and CURB-65 showed high performance for predicting 30-day mortality (area under the curve: 0.968, 0.962 and 0.942, respectively). Age > 65 years, respiratory rate > 20/minute, oxygen saturation (SpO2) < 90% and ED length of stay > 4 hours showed associations with 30-day mortality (P < 0.05). CONCLUSIONS: CURB-65, STSS and PMEWS scores are useful for predicting mortality, ICU admission and MV need among patients diagnosed with COVID-19 pneumonia. Advanced age, increased respiratory rate, low SpO2 and prolonged ED length of stay may increase mortality. Further studies are needed for developing the triage scoring systems, to ensure effective long-term use of healthcare service capacity during pandemics.


Assuntos
Humanos , Masculino , Feminino , Idoso , Idoso de 80 Anos ou mais , Pneumonia/diagnóstico , Pneumonia/epidemiologia , Triagem/métodos , Medição de Risco/métodos , Serviço Hospitalar de Emergência/estatística & dados numéricos , Escore de Alerta Precoce , COVID-19/terapia , Turquia , Uremia/etiologia , Uremia/epidemiologia , Pressão Sanguínea , Estudos Retrospectivos , Taxa Respiratória/fisiologia , Pandemias , SARS-CoV-2 , COVID-19/diagnóstico , COVID-19/epidemiologia
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...