The brief measure of preoperative emotional stress screens preoperative maladaptive psychological features and predicts postoperative opioid use: an observational study.

BACKGROUND: The Brief Measure of Preoperative Emotional Stress (B-MEPS) is a suitable screening tool for Preoperative Emotional Stress (PES). However, personalized decision-making demands practical interpretation of the refined version of B-MEPS. Thus, we propose and validate cut-off points on the B-MEPS to classify PES. Also, we assessed if the cut-off points screened preoperative maladaptive psychological features and predicted postoperative opioid use. METHODS: This observational study comprises samples of two other primary studies, with 1009 and 233 individuals, respectively. The latent class analysis derived emotional stress subgroups using B-MEPS items. We compared membership with the B-MEPS score through the Youden index. Concurrent criterion validity of the cut-off points was performed with the severity of preoperative depressive symptoms, pain catastrophizing, central sensitization, and sleep quality. Predictive criterion validity was performed with opioid use after surgery. RESULTS: We chose a model with three classes labeled mild, moderate, and severe. The Youden index points -0.1663 and 0.7614 of the B-MEPS score classify individuals, in the severe class, with a sensitivity of 85.7% (80.1%-90.3%) and specificity of 93.5% (91.5-95.1%). The cut-off points of the B-MEPS score have satisfactory concurrent and predictive criterion validity. CONCLUSIONS: These findings showed that the preoperative emotional stress index on the B-MEPS offers suitable sensitivity and specificity for discriminating the severity of preoperative psychological stress. They provide a simple tool to identify patients prone to severe PES related to maladaptive psychological features, which might influence the perception of pain and analgesic opioid use in the postoperative period.

The brief measure of preoperative emotional stress screens preoperative maladaptive psychological features and predicts postoperative opioid use: an observational study

Abstract Background: The Brief Measure of Preoperative Emotional Stress (B-MEPS) is a suitable screening tool for Preoperative Emotional Stress (PES). However, personalized decision-making demands practical interpretation of the refined version of B-MEPS. Thus, we propose and validate cut-off points on the B-MEPS to classify PES. Also, we assessed if the cut-off points screened preoperative maladaptive psychological features and predicted postoperative opioid use. Methods: This observational study comprises samples of two other primary studies, with 1009 and 233 individuals, respectively. The latent class analysis derived emotional stress subgroups using B-MEPS items. We compared membership with the B-MEPS score through the Youden index. Concurrent criterion validity of the cut-off points was performed with the severity of preoperative depressive symptoms, pain catastrophizing, central sensitization, and sleep quality. Predictive criterion validity was performed with opioid use after surgery. Results: We chose a model with three classes labeled mild, moderate, and severe. The Youden index points −0.1663 and 0.7614 of the B-MEPS score classify individuals, in the severe class, with a sensitivity of 85.7% (80.1%-90.3%) and specificity of 93.5% (91.5-95.1%). The cut-off points of the B-MEPS score have satisfactory concurrent and predictive criterion validity. Conclusions: These findings showed that the preoperative emotional stress index on the B-MEPS offers suitable sensitivity and specificity for discriminating the severity of preoperative psychological stress. They provide a simple tool to identify patients prone to severe PES related to maladaptive psychological features, which might influence the perception of pain and analgesic opioid use in the postoperative period.

Derivation and validation of a national multicenter mortality risk stratification model - the ExCare model: a study protocol.

INTRODUCTION: Surgical care is essential for proper management of various diseases. However, it can result in unfavorable outcomes. In order to identify patients at higher risk of complications, several risk stratification models have been developed. Ideally, these tools should be simple, reproducible, accurate, and externally validated. Unfortunately, none of the best-known risk stratification instruments have been validated in Brazil. In this sense, the Ex-Care model was developed by retrospective data analysis of surgical patients in a major Brazilian university hospital. It consists of four independent predictors easily collected in the preoperative evaluation, showing high accuracy in predicting death within 30 days after surgery. OBJECTIVES: To update and validate a Brazilian national-based model of postoperative death probability within 30 days based on the Ex-Care model. Also, to develop an application for smartphones that allows preoperative risk stratification by Ex-Care model. METHODS: Ten participating centers will collect retrospective data from digital databases. Variables age, American Society of Anesthesiologists (ASA) physical status, surgical severity (major or non-major) and nature (elective or urgent) will be evaluated as predictors for in-hospital mortality within 30 postoperative days, considered the primary outcome. EXPECTED RESULTS: We believe that the Ex-Care model will present discriminative capacity similar to other classically used scores validated for surgical mortality prediction. Furthermore, the mobile application to be developed will provide a practical and easy-to-use tool to the professionals enrolled in perioperative care.

A Standardized Framework for Evaluating Surgical Enhanced Recovery Pathways: A Recommendations Statement from the TDABC in Health-care Consortium.

Background: Innovative methodologies to redesign care delivery are being applied to increase value in health care, including the creation of enhanced recovery pathways (ERPs) for surgical patients. However, there is a lack of standardized methods to evaluate ERP implementation costs. Objectives: This Recommendations Statement aims to introduce a standardized framework to guide the economic evaluation of ERP care-design initiatives, using the Time-Driven Activity-Based Costing (TDABC) methodology. Methods: We provide recommendations on using the proposed framework to support the decision-making processes that incorporate ERPs. Since ERPs are usually composed of activities distributed throughout the patient care pathway, the framework can demonstrate how the TDABC may be a valuable method to evaluate the incremental costs of protocol implementation. Our recommendations are based on the review of available literature and expert opinions of the members of the TDABC in Healthcare Consortium. Results: The ERP framework, composed of 11 steps, was created describing how the techniques and methods can be applied to evaluate the economic impact of an ERP and guide health-care leaders to optimize the decision-making process of incorporating ERPs into health-care settings. Finally, six recommendations are introduced to demonstrate that using the suggested framework could increase value in ERP care-design initiatives by reducing variability in care delivery, educating multidisciplinary teams about value in health, and increasing transparency when managing surgical pathways. Conclusions: Our proposed standardized framework can guide decisions and support measuring improvements in value achieved by incorporating the perioperative redesign protocols.

Transfer of the care of patients with low risk of mortality in postoperative: experience report. / Transferência do cuidado de pacientes com baixo risco de mortalidade no pós-operatório: relato de experiência.

OBJECTIVE: Describe the implementation of care transfer flow chart in postoperative, based on a risk classification model. METHOD: Experience report on the implementation of a pilot project between the post-anesthetic recovery room and the surgical hospitalization unit, developed between December/2016 and March/2017, aimed at transferring s the care of patients with low risk of postoperative mortality, in a university hospital in the South of Brazil. RESULTS: The project made it possible to expedite the discharge of the patient from the Post-Anesthetic Recovery Room to the surgical hospitalization unit, to qualify the records regarding nursing care and to optimize the time of nurses in both units for care activities. CONCLUSION: The implementation of a care transfer flow chart from the risk classification for postoperative patients contributed to a more effective communication, culminating in improvements in patient safety.

Transferência do cuidado de pacientes com baixo risco de mortalidade no pós-operatório: relato de experiência / Transferencia del cuidado de pacientes con bajo riesgo de mortalidad en el postoperatorio: relato de experiencia / Transfer of the care of patients with low risk of mortality in postoperative: experience report

Resumo OBJETIVO Descrever a implantação de um fluxograma de transferência do cuidado de pacientes em pós-operatório, a partir de um modelo de classificação de risco. MÉTODO Relato de experiência sobre a implantação de projeto piloto entre sala de recuperação pós-anestésica e unidade de internação cirúrgica, desenvolvido entre dezembro/2016 e março/2017, visando a transferências do cuidado de pacientes com baixo risco de mortalidade pós-operatória, em um hospital universitário do Sul do Brasil. RESULTADOS O projeto possibilitou agilizar a alta do paciente da Sala de Recuperação Pós-Anestésica para a unidade de internação cirúrgica, qualificar os registros quanto aos cuidados de enfermagem e otimizar o tempo dos enfermeiros, em ambas unidades, para as atividades assistenciais. CONCLUSÃO A implementação de um fluxograma de transferência do cuidado a partir da classificação de risco para pacientes em pós-operatório contribuiu para uma comunicação mais efetiva, culminando em melhorias na segurança do paciente.

Resumen OBJETIVO Describir la implantación de un diagrama de flujo de transferencia del cuidado de pacientes en postoperatorio a partir de un modelo de clasificación de riesgo. MÉTODO Relato de experiencia sobre la implantación de un proyecto piloto entre sala de recuperación postanestésica y unidad de internación quirúrgica, desarrollado entre diciembre/2016 y marzo/2017, con vistas a transferencias del cuidado de pacientes con bajo riesgo de mortalidad postoperatoria, en un hospital universitario del sur de Brasil. RESULTADOS El proyecto posibilitó mayor agilidad del alta del paciente para la unidad de internación quirúrgica, calificación de los registros y cuidados de enfermería referentes al cuadro clínico del paciente, y optimización del tiempo de los enfermeros, en ambas unidades, para las actividades asistenciales. CONCLUSIÓN La implementación de un diagrama de flujo de transferencia del cuidado a partir de la clasificación de riesgo para pacientes en postoperatorio contribuyó a una comunicación más efectiva, culminando en mejoras en la seguridad del paciente.

Abstract OBJECTIVE Describe the implementation of care transfer flow chart in postoperative, based on a risk classification model. METHOD Experience report on the implementation of a pilot project between the post-anesthetic recovery room and the surgical hospitalization unit, developed between December/2016 and March/2017, aimed at transferring s the care of patients with low risk of postoperative mortality, in a university hospital in the South of Brazil. RESULTS The project made it possible to expedite the discharge of the patient from the Post-Anesthetic Recovery Room to the surgical hospitalization unit, to qualify the records regarding nursing care and to optimize the time of nurses in both units for care activities. CONCLUSION The implementation of a care transfer flow chart from the risk classification for postoperative patients contributed to a more effective communication, culminating in improvements in patient safety.

Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort / Preditores de mortalidade intra-hospitalar em pacientes submetidos a cirurgias não eletivas em um hospital universitário: uma coorte prospectiva

Abstract Introduction Morbidity and mortality associated with urgent or emergency surgeries are high compared to elective procedures. Perioperative risk scores identify the non-elective character as an independent factor of complications and death. The present study aims to characterize the population undergoing non-elective surgeries at the Hospital de Clínicas de Porto Alegre and identify the clinical and surgical factors associated with death within 30 days postoperatively. Methodology A prospective cohort study of 187 patients undergoing elective surgeries between April and May 2014 at the Hospital de Clínicas, Porto Alegre. Patient-related data, pre-operative risk situations, and surgical information were evaluated. Death in 30 days was the primary outcome measured. Results The mean age of the sample was 48.5 years, and 84.4% of the subjects had comorbidities. The primary endpoint was observed in 14.4% of the cases, with exploratory laparotomy being the procedure with the highest mortality (47.7%). After multivariate logistic regression, age (odds ratio [OR] 1.0360, p < 0.05), anemia (OR 3.961, p < 0.05), acute or chronic renal insufficiency (OR 6.075, p < 0.05), sepsis (OR 7.027, p < 0.05), and patient-related risk factors for mortality, in addition to the large surgery category (OR 7.502, p < 0.05) were identified. Conclusion The high mortality rate found may reflect the high complexity of the institution's patients. Knowing the profile of the patients assisted helps in the definition of management priorities, suggesting the need to create specific care lines for groups identified as high risk in order to reduce perioperative complications and deaths.

Resumo Introdução Quando comparada a procedimentos eletivos, a morbimortalidade associada às cirurgias de urgência ou emergência é alta. Escores de risco perioperatório identificam o caráter não eletivo como fator independente de complicações e morte. O presente estudo objetiva caracterizar a população submetida a cirurgias não eletivas no Hospital de Clínicas de Porto Alegre e identificar fatores clínicos e cirúrgicos associados à morte em 30 dias no pós-operatório. Metodologia Coorte prospectiva de 187 pacientes submetidos a cirurgias não eletivas entre abril e maio de 2014 no Hospital de Clínicas de Porto Alegre. Avaliaram-se dados relacionados ao paciente, situações de risco pré-operatórias e informações do âmbito cirúrgico. Mensurou-se óbito em 30 dias como desfecho primário. Resultados A média de idade da amostra foi 48,5 anos; 84,4% dos indivíduos apresentavam comorbidades. O desfecho primário foi observado em 14,4% dos casos, laparotomia exploradora foi o procedimento com maior mortalidade (47,7%). Após regressão logística multivariada, identificaram-se idade (odds ratio [OR] 1.0360, p < 0,05), anemia (OR 3.961, p < 0,05), insuficiência renal aguda ou crônica agudizada (OR 6.075, p < 0,05) e sepse (OR 7.027, p < 0,05) como os fatores de risco relacionados ao paciente significativos para mortalidade, além da categoria cirurgia de grande porte (OR 7.502, p < 0,05). Conclusão A elevada taxa de mortalidade encontrada pode refletir a alta complexidade dos pacientes da instituição. O conhecimento do perfil dos pacientes atendidos auxilia na definição de prioridades de gerenciamento, sugere a necessidade de criação de linhas de cuidado específicas para grupos identificados como de alto risco, a fim de reduzir complicações e óbitos no perioperatório.