Circadian rhythm in critically ill patients: Insights from the eICU Database.

Objective: To investigate the circadian variation among critically ill patients and its association with clinical characteristics and survival to hospital discharge in a large population of patients in the intensive care unit (ICU). Methods: Circadian variation was analyzed by fitting cosinor models to hourly blood pressure (BP) measurements in patients of the eICU Collaborative Research Database with an ICU length of stay of at least 3 days. We calculated the amplitude of the 24-hour circadian rhythm and time of the day when BP peaked. We determined the association between amplitude and time of peak BP and severity of illness, medications, mechanical intubation, and survival to hospital discharge. Results: Among 23,355 patients (mean age 65 years, 55% male), the mean amplitude of the 24-hour rhythm was 4.5 ± 3.1 mm Hg. Higher APACHE-IV scores, sepsis, organ dysfunction, and mechanical ventilation were associated with a lower amplitude and a shifted circadian rhythm (P < .05 for all). The timing of the BP peak was associated with in-hospital mortality (P < .001). Higher BP amplitude was associated with shorter ICU (2 mm Hg amplitude: 7.0 days, 8 mm Hg amplitude: 6.7 days) and hospital (2 mm Hg amplitude: 11.8 days, 8 mm Hg amplitude: 11.3 days) lengths of stay and lower in-hospital mortality (2 mm Hg amplitude: 18.2%, 8 mm Hg amplitude: 15.2%) (P < .001 for all). Conclusion: The 24-hour rhythm is dampened and phase-shifted in sicker patients and those on mechanical ventilation, vasopressors, or inotropes. Dampening and phase shifting are associated with a longer length of stay and higher in-hospital mortality.

A Multivariable Prediction Model to Select Colorectal Surgical Patients for Co-Management.

INTRODUCTION: Increased life expectancy leads to older and frailer surgical patients. Co-management between medical and surgical specialities has proven favourable in complex situations. Selection of patients for co-management is full of difficulties. The aim of this study was to develop a clinical decision support tool to select surgical patients for co-management. MATERIAL AND METHODS: Clinical data was collected from patient electronic health records with an ICD-9 code for colorectal surgery from January 2012 to December 2015 at a hospital in Lisbon. The outcome variable consists in co-management signalling. A dataset from 344 patients was used to develop the prediction model and a second data set from 168 patients was used for external validation. RESULTS: Using logistic regression modelling the authors built a five variable (age, burden of comorbidities, ASA-PS status, surgical risk and recovery time) predictive referral model for co-management. This model has an area under the curve (AUC) of 0.86 (95% CI: 0.81 - 0.90), a predictive Brier score of 0.11, a sensitivity of 0.80, a specificity of 0.82 and an accuracy of 81.3%. DISCUSSION: Early referral of high-risk patients may be valuable to guide the decision on the best level of post-operative clinical care. We developed a simple bedside decision tool with a good discriminatory and predictive performance in order to select patients for comanagement. CONCLUSION: A simple bed-side clinical decision support tool of patients for co-management is viable, leading to potential improvement in early recognition and management of postoperative complications and reducing the 'failure to rescue'. Generalizability to other clinical settings requires adequate customization and validation.

Introdução: O aumento da esperança média de vida leva a que a população cirúrgica seja cada vez mais velha e frágil. Os modelos colaborativos de co-gestão entre especialidades médicas e cirúrgicas têm demonstrado ser favoráveis em situações complexas. A selecção de doentes para co-gestão está repleta de dificuldades. O objectivo deste estudo foi construir uma ferramenta de apoio à decisão para selecionar doentes de submetidos a cirurgia colo-rectal para co-gestão. Material e Métodos: A informação clínica foi colhida dos processos clínicos electrónicos de doentes que tiveram um código ICD-9 de cirurgia colo-rectal no período de janeiro 2012 a dezembro 2015, num hospital em Lisboa. A variável resposta consiste na sinalização para co-gestão. Um conjunto de dados de 344 doentes foi usado para o desenvolvimento do modelo predictivo e, um segundo conjunto de dados de 168 doentes foi usado para a validação externa do modelo. Resultados: Os autores construíram um modelo predictivo, de regressão logística, com cinco variáveis clínicas (idade, carga de co-morbilidades, ASA-PS status, risco cirúrgico e tempo de recobro) para predizer a selecção de doentes para co-gestão. O modelo tem uma área sob a curva (AUC) de 0,86 (95% IC: 0,81 - 0,90), um score predictivo de Brier de 0,11, uma sensibilidade de 0,80, uma especificidade de 0,82 e uma precisão de classificação de 81,3%. Discussão: A sinalização precoce dos doentes de alto risco ajuda a definir o melhor nível de cuidados ao doente operado. Desenvolvemos uma ferramenta de apoio à decisão, simples, aplicável à cabeceira do doente com uma boa capacidade discriminativa e preditiva para seleccionar os doentes para co-gestão. Conclusão: A selecção de doentes para co-gestão entre a cirurgia e a medicina interna permite o reconhecimento e a correcção precoce de complicações pós-operatórias reduzindo o 'failure to rescue'. A ferramenta, uma vez customizada e validada, poderá ser aplicada em outros cenários clínicos.

Clinical decision support tool for Co-management signalling.

INTRODUCTION: Co-management between internists and surgeons of selected patients is becoming one of the pillars of modern clinical management in large hospitals. Defining the patients to be co-managed is essential. The aim of this study is to create a decision tool using real-world patient data collected in the preoperative period, to support the decision on which patients should have the co-management service offered. METHODS: Data was collected from the electronic clinical health records of patients who had an International Classification of Diseases, 9th edition (ICD-9) code of colorectal surgery during the period between January 2012 and October 2014 in a 200 bed private teaching hospital in Lisbon. ICD-9 codes of colorectal surgery [48.5 and 48.6 (anterior rectal resection and abdominoperineal resection), 45.7 (partial colectomy), 45.8 (Total Colectomy), and 45.9 (Bowel Anastomosis)] were used. Only patients above 18 years old were considered. Patients with more than one procedure were excluded from the study. From these data the authors investigated the construction of predictive models using logistic regression and Takagi-Sugeno fuzzy modelling. RESULTS: Data contains information obtained from the clinical records of a cohort of 344 adult patients. Data from 398 emergent and elective surgeries were collected, from which 54 were excluded because they were second procedures for the same patients. Four preoperative variables were identified as being the most predictive of co-management, in multivariable regression analysis. The final model performed well after being internally validated (0.81 AUC, 77% accuracy, 74% sensitivity, 78% specificity, 93% negative predictive value). The results indicate that the decision process can be more objective and potentially automated. CONCLUSIONS: The authors developed a prediction model based on preoperative characteristics, in order to support the decision for the co-management of surgical patients in the postoperative ward setting. The model is a simple bedside decision tool that uses only four numerical variables.

Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology.

Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and easily acquired variables in the intensive care unit (ICU) to predict severely depressed LVEF following ICU admission. A retrospective study was conducted. We extracted clinical physiological variables derived from ICU monitoring and available within the MIMIC II database and developed a fuzzy model using sequential feature selection and compared it with the conventional logistic regression (LR) model. Maximum predictive performance was observed using easily acquired ICU variables within 6 hours after admission and satisfactory predictive performance was achieved using variables acquired as early as one hour after admission. The fuzzy model is able to predict LVEF ≤ 25% with an AUC of 0.71 ± 0.07, outperforming the LR model, with an AUC of 0.67 ± 0.07. To the best of the authors' knowledge, this is the first study predicting severely impaired LVEF using multivariate analysis of routinely collected data in the ICU. We recommend inclusion of these findings into triaged management plans that balance urgency with resources and clinical status, particularly for reducing the time of echocardiographic examination.

Controle da dor pós-operatória da artroplastia total do joelho: é necessário associar o bloqueio do nervo isquiático ao bloqueio do nervo femoral? / Control of postoperative pain following total knee arthroplasty: is it necessary to associate sciatic nerve block to femoral nerve block?

JUSTIFICATIVA E OBJETIVOS: A artroplastia total do joelho (ATJ) promove grande trauma tecidual, produzindo intensa dor no pós-operatório. A analgesia pós-operatória de boa qualidade é fundamental, devendo-se considerar que a mobilização articular precoce é um importante aspecto para obtenção de bons resultados. Há controvérsias na literatura sobre a eficácia do bloqueio isolado do nervo femoral. O objetivo deste estudo foi avaliar a analgesia pós-operatória com a associação do bloqueio dos nervos isquiático e femoral. MÉTODO: Foram estudados 17 pacientes submetidos à ATJ sob raquianestesia, divididos em dois grupos: A e B. No Grupo A (n = 9) foi realizado bloqueio do nervo femoral e no Grupo B (n = 8), bloqueio dos nervos femoral e isquiático. Os bloqueios foram realizados no pós-operatório imediato utilizando-se 20 mL de ropivacaína a 0,5 por cento em cada um. A dor foi aferida nas primeiras 24 horas pela Escala Analógica Visual e escala verbal. Foi observado o tempo decorrido entre os bloqueios e a primeira queixa de dor (M1). RESULTADOS: A mediana do tempo de analgesia (M1) no Grupo A foi de 110 min. e no Grupo B de 1.285 min. (p = 0,0001). Não foram observadas complicações atribuíveis às técnicas utilizadas. CONCLUSÃO: O bloqueio do nervo isquiático, quando associado ao bloqueio do nervo femoral, nas condições deste estudo, melhorou de maneira significativa a qualidade da analgesia pós-operatória da ATJ.

BACKGROUND AND OBJECTIVES: Total knee arthroplasty (TKA) causes severe tissue trauma, leading to severe postoperative pain. Good postoperative analgesia is fundamental and one should consider that early mobilization of the joint is an important aspect to obtain good results. There is a controversy in the literature on the efficacy of isolated femoral nerve block. The objective of this study was to evaluate postoperative analgesia with the association of sciatic and femoral nerve block. METHODS: Seventeen patients undergoing TKA under spinal anesthesia were divided in two groups: A and B. In Group A (n = 9), femoral nerve block was performed, while in Group B (n = 8), femoral and sciatic nerve block were done. The blockades were done in the immediate postoperative period with 20 mL of 0.5 percent of ropivacaine. Pain was evaluated in the first 24 hours using the Visual Analog Scale and the verbal scale. The length of time between the nerve block and the first complaint of pain (M1) was also evaluated. RESULTS: The median of the duration of analgesia (M1) in Group A was 110 min, while in Group B it was 1285 min (p = 0.0001). There were no complications related to the technique used. CONCLUSIONS: Sciatic nerve block, when associated with femoral nerve block, under the conditions of the present study, improved significantly the quality of postoperative analgesia in TKA.

JUSTIFICATIVA Y OBJETIVOS: La artroplastia total de la rodilla (ATR) promueve gran trauma del tejido produciendo un intenso dolor en el postoperatorio. La analgesia de postoperatorio de buena calidad es fundamental, debiendo considerar que la movilización articular precoz es un importante aspecto para la obtención de buenos resultados. Existen controversias en la literatura sobre la eficacia del bloqueo aislado del nervio femoral. El objetivo de este estudio fue evaluar la analgesia en postoperatorio con la asociación del bloqueo de los nervios isquiático y femoral. MÉTODO: Fueron estudiados 17 pacientes sometidos a ATR bajo raquianestesia, divididos en dos grupos: A y B. En el Grupo A (n = 9) fue realizado bloqueo del nervio femoral y en el Grupo B (n = 8) bloqueo de los nervios femoral e isquiático. Los bloqueos fueron realizados en el postoperatorio inmediato utilizando 20 mL de ropivacaína a 0,5 por ciento en cada uno. El dolor se comprobó en las primeras 24 horas a través de la Escala Analógica Visual y escala verbal. Fue observado el tiempo transcurrido entre los bloqueos y el primer quejido de dolor (M1). RESULTADOS: La mediana del tiempo de analgesia (M1) en el Grupo A fue de 110 min y en el Grupo B de 1.285 min (p = 0,0001). No fueron observadas complicaciones atribuibles a las técnicas utilizadas. CONCLUSIONES: El bloqueo del nervio isquiático, cuando se asocia al bloqueo del nervio femoral, e las condiciones de este estudio, mejoró de manera significativa la calidad de la analgesia en postoperatorio de la ATR.

[Control of postoperative pain following total knee arthroplasty: is it necessary to associate sciatic nerve block to femoral nerve block?]. / Controle da dor pós-operatória da artroplastia total do joelho: é necessário associar o bloqueio do nervo isquiático ao bloqueio do nervo femoral?

BACKGROUND AND OBJECTIVES: Total knee arthroplasty (TKA) causes severe tissue trauma, leading to severe postoperative pain. Good postoperative analgesia is fundamental and one should consider that early mobilization of the joint is an important aspect to obtain good results. There is a controversy in the literature on the efficacy of isolated femoral nerve block. The objective of this study was to evaluate postoperative analgesia with the association of sciatic and femoral nerve block. METHODS: Seventeen patients undergoing TKA under spinal anesthesia were divided in two groups: A and B. In Group A (n = 9), femoral nerve block was performed, while in Group B (n = 8), femoral and sciatic nerve block were done. The blockades were done in the immediate postoperative period with 20 mL of 0.5% of ropivacaine. Pain was evaluated in the first 24 hours using the Visual Analog Scale and the verbal scale. The length of time between the nerve block and the first complaint of pain (M1) was also evaluated. RESULTS: The median of the duration of analgesia (M1) in Group A was 110 min, while in Group B it was 1285 min (p = 0.0001). There were no complications related to the technique used. CONCLUSIONS: Sciatic nerve block, when associated with femoral nerve block, under the conditions of the present study, improved significantly the quality of postoperative analgesia in TKA.