Preoperative STOP-BANG Scores and Postoperative Delirium and Coma in Thoracic Surgery Patients

Background Obstructive sleep apnea (OSA) is associated with higher rates of postoperative delirium. The relationship between preoperative OSA risk and postoperative delirium and coma in thoracic surgery patients hospitalized in the intensive care unit (ICU) is not well understood. This study tests the hypothesis that thoracic surgery patients hospitalized in ICU with a higher preoperative risk for OSA are more likely to develop postoperative delirium and coma, resulting in longer hospital stays. Methods Preoperative OSA risk was measured using the STOP-BANG questionnaire. STOP-BANG scores of ≥ 3 were defined as intermediate-high risk for OSA. 128 patients who underwent major thoracic surgery completed the STOP-BANG questionnaire preoperatively. The Richmond Agitation and Sedation Scale was used to assess level of consciousness. The Confusion Assessment Method for the ICU was used to assess for delirium. Linear regression was used to assess the relationship between risk of OSA and outcome measures. Results were adjusted for age, gender, body mass index, Charlson Comorbidity Index, instrumental activities of daily living, and surgery type. Results 96 out of 128 patients (76%) were in the intermediate-high risk OSA group. Adjusted analyses showed that the intermediate-high risk OSA group had a longer duration of postoperative ICU delirium and coma compared to the low risk OSA group (1.4 days ± 1.3 vs 0.9 days ± 1.4; P = 0.04). Total number of hospital days was not significantly different. Conclusions Higher preoperative risk for OSA in thoracic surgery patients was associated with a longer duration of postoperative delirium and coma

Perioperative Risk Factors for Postoperative Delirium in Patients Undergoing Esophagectomy

Background Postoperative delirium affects up to 50% of patients undergoing esophagectomy and is associated with negative outcomes. The perioperative risk factors for delirium in this population are not well understood. We conducted this study to assess perioperative risk factors for postoperative delirium among esophagectomy patients. Methods We performed a secondary data analysis of patients enrolled in a randomized controlled trial evaluating the efficacy of haloperidol prophylaxis postoperatively in reducing delirium among esophagectomy patients. Postoperative delirium was assessed twice daily using the Confusion Assessment Method for the ICU. Univariate and logistic regression analyses were performed to examine the association between perioperative variables and development of postoperative delirium. Results Of 84 consecutive esophagectomy patients, 27 (32%) developed postoperative delirium. Patients who developed postoperative delirium had higher APACHE II scores [22.1 (6.5) versus 17.4 (6.8); p=0.003], longer mechanical ventilation days [1.7 (1.4) versus 1.0 (1.1); p=0.001], and longer ICU days [5.1 (2.6) versus 2.6 (1.6); p<0.001]. In a logistic regression model, only ICU length of stay was found to have significant association with postoperative delirium [OR 1.65; 95% CI 1.21-2.25]. Conclusions ICU length of stay was significantly associated with postoperative delirium. Other perioperative factors including duration of surgery, blood loss, and hemoglobin levels were not significantly associated with postoperative delirium

Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning

Federated Learning (FL) is a machine learning (ML) strategy that is performed in a decentralized environment. The training is performed locally by the client on the global model shared by the server. Federated learning has recently been used as a service (FLaaS) to provide a collaborative training environment to independent third-party applications. However, the widespread adoption in distributed settings of FL has opened venues for a number of security attacks. A number of studies have been performed to prevent multiple FL attacks. However, sophisticated attacks, such as label-flipping attacks, have received little or no attention. From the said perspective, this research is focused on providing a defense mechanism for the aforesaid attack. The proposed approach is based on Type-based Cohorts (TC) with Kernel Principal Component Analysis (KPCA) to detect and defend against label-flipping attacks. Moreover, to improve the performance of the network, we will deploy Multi-path Service Routing (MSR) for edge nodes to work effectively. The KPCA will be used to secure the network from attacks. The proposed mechanism will provide an effective and secure FL system. The proposed approach is evaluated with respect to the following measures: execution time, memory consumption, information loss, accuracy, service request violations, and the request’s waiting time

Effects of music intervention on inflammatory markers in critically ill and post-operative patients: A systematic review of the literature

BACKGROUND: Music listening has been shown to reduce anxiety, stress, and patient tolerance of procedures. Music may also have beneficial effects on inflammatory biomarkers in intensive care and post-operative patients, but the quality of evidence is not clear. OBJECTIVES: We conducted a systematic review to evaluate the effects of music on inflammatory biomarkers in intensive care, and post-operative patients. METHODS: A comprehensive search of the literature was performed. After screening 1570 references, full text review of 26 studies was performed. Fourteen studies were selected for inclusion. RESULTS: Seven studies showed a significant decrease in cortisol levels, but the level of evidence was low. Three studies had low risk of methodological bias, while 11 studies had high risk of bias. CONCLUSIONS: Music intervention may decrease cortisol levels, but other biomarkers remain unchanged. Given the low level of evidence, further research on music effects on inflammatory biomarkers is needed

Decreasing delirium through music (DDM) in critically ill, mechanically ventilated patients in the intensive care unit: Protocol for a randomized controlled trial

Background Delirium is a highly prevalent and morbid syndrome in intensive care units (ICUs). Changing the stressful environment within the ICU via music may be an effective and a scalable way to reduce the burden of delirium. Methods/design The Decreasing Delirium through Music (DDM) study is a three-arm, single-blind, randomized controlled feasibility trial. Sixty patients admitted to the ICU with respiratory failure requiring mechanical ventilation will be randomized to one of three arms (20 participants per arm): (1) personalized music, (2) non-personalized relaxing music, or (3) attention-control. Music preferences will be obtained from all enrolled participants or their family caregivers. Participants will receive two 1-h audio sessions a day through noise-cancelling headphones and mp3 players. Our primary aim is to determine the feasibility of the trial design (recruitment, adherence, participant retention, design and delivery of the music intervention). Our secondary aim is to estimate the potential effect size of patient-preferred music listening in reducing delirium, as measured by the Confusion Assessment Method for the ICU (CAM-ICU). Participants will receive twice daily assessments for level of sedation and presence of delirium. Enrolled participants will be followed in the hospital until death, discharge, or up to 28 days, and seen in the Critical Care Recovery Clinic at 90 days. Discussion DDM is a feasibility trial to provide personalized and non-personalized music interventions for critically ill, mechanically ventilated patients. Our trial will also estimate the preliminary efficacy of music interventions on reducing delirium incidence and severity. Trial registration ClinicalTrials.gov, Identifier: NCT03095443. Registered on 23 March 2017

Psychiatric symptoms and their association with sleep disturbances in intensive care unit survivors

Background: Sleep disturbances in critically ill patients are associated with poorer long-term clinical outcomes and quality of life. Studies are needed to better characterize associations and risk factors for persistent sleep disturbances after intensive care unit (ICU) discharge. Psychiatric disorders are frequently associated with sleep disturbances, but the role of psychiatric symptoms in sleep disturbances in ICU survivors has not been well-studied. Objective: To examine the association between psychiatric symptoms and sleep disturbances in ICU survivors. Methods: 112 adult ICU survivors seen from July 2011 to August 2016 in the Critical Care Recovery Center, an ICU survivor clinic at the Eskenazi Hospital in Indianapolis, IN, USA, were assessed for sleep disturbances (insomnia, hypersomnia, difficulty with sleep onset, difficulty with sleep maintenance, and excessive daytime sleepiness) and psychiatric symptoms (trauma-related symptoms and moderate to severe depressive symptoms) 3 months after ICU discharge. A multivariate logistic regression model was performed to examine the association between psychiatric symptoms and sleep disturbances. Analyses were controlled for age, hypertension, history of depression, and respiratory failure. Results: ICU survivors with both trauma-related and depression symptoms (OR 16.66, 95% CI 2.89-96.00) and trauma-related symptoms alone (OR 4.59, 95% CI 1.11-18.88) had a higher likelihood of sleep disturbances. Depression symptoms alone were no longer significantly associated with sleep disturbances when analysis was controlled for trauma-related symptoms. Conclusion: Trauma-related symptoms and trauma-related plus moderate to severe depressive symptoms were associated with a higher likelihood of sleep disturbances. Future studies are needed to determine whether psychiatric symptoms are associated with objective changes on polysomnography and actigraphy and whether adequate treatment of psychiatric symptoms can improve sleep disturbances

Effect of Delirium on Physical Function in Noncardiac Thoracic Surgery Patients

Background: The effect of delirium on physical function in patients undergoing noncardiac thoracic surgery has not been well described and may differ from that in other surgical populations. Objective: To determine the effects of delirium on muscle strength and functional independence. The primary end point was change in Medical Research Council sum score (MRC-SS) by delirium status. Methods: A secondary analysis of data from a clinical trial involving English-speaking adults aged 18 years or older who were undergoing major noncardiac thoracic surgery. Exclusion criteria were history of schizophrenia, Parkinson disease, dementia, alcohol abuse, or neuroleptic malignant syndrome; haloperidol allergy; being pregnant or nursing; QT prolongation; and taking levodopa or cholinesterase inhibitors. Delirium was assessed twice daily using the Confusion Assessment Method for the Intensive Care Unit. Preoperatively and postoperatively, muscle strength was assessed using the modified MRC-SS and functional independence was assessed using the Katz scale of activities of daily living. Changes in MRC-SS and Katz score by delirium status were analyzed using the Fisher exact test. Results: Seventy-three patients were included in the analysis. Median (interquartile range) MRC-SS and Katz score before surgery did not differ significantly between patients without and with delirium (MRC-SS: 30 [30-30] vs 30 [30-30], P > .99; Katz score: 6 [6-6] vs 6 [6-6], P = .63). The percentage of patients with a change in MRC-SS was similar in patients without and with delirium (17% vs 13%, respectively; P > .99). More patients in the delirium group had a change in Katz score (13% vs 0%, P = .04). Conclusions: Postoperative delirium was not associated with change in muscle strength. Follow-up studies using other muscle measures may be needed

Hospital outcomes in non-surgical patients identified at risk for OSA

Background: In-hospital respiratory outcomes of non-surgical patients with undiagnosed obstructive sleep apnea (OSA), particularly those with significant comorbidities are not well defined. Undiagnosed and untreated OSA may be associated with increased cardiopulmonary morbidity. Study objectives: Evaluate respiratory failure outcomes in patients identified as at-risk for OSA by the Berlin Questionnaire (BQ). Methods: This was a retrospective study conducted using electronic health records at a large health system. The BQ was administered at admission to screen for OSA to medical-service patients under the age of 80 years old meeting the following health system criteria: (1) BMI greater than 30; (2) any of the following comorbid diagnoses: hypertension, heart failure, acute coronary syndrome, pulmonary hypertension, arrhythmia, cerebrovascular event/stroke, or diabetes. Patients with known OSA or undergoing surgery were excluded. Patients were classified as high-risk or low-risk for OSA based on the BQ score as follows: low-risk (0 or 1 category with a positive score on the BQ); high-risk (2 or more categories with a positive score on BQ). The primary outcome was respiratory failure during index hospital stay defined by any of the following: orders for conventional ventilation or intubation; at least two instances of oxygen saturation less than 88% by pulse oximetry; at least two instances of respiratory rate over 30 breaths per minute; and any orders placed for non-invasive mechanical ventilation without a previous diagnosis of sleep apnea. Propensity scores were used to control for patient characteristics. Results: Records of 15,253 patients were assessed. There were no significant differences in the composite outcome of respiratory failure by risk of OSA (high risk: 11%, low risk: 10%, p = 0.55). When respiratory failure was defined as need for ventilation, more patients in the low-risk group experienced invasive mechanical ventilation (high-risk: 1.8% vs. low-risk: 2.3%, p = 0.041). Mortality was decreased in patients at high-risk for OSA (0.86%) vs. low risk for OSA (1.53%, p < 0.001). Conclusions: Further prospective studies are needed to understand the contribution of undiagnosed OSA to in-hospital respiratory outcomes

Delirium Incidence, Duration and Severity in Critically Ill Patients with COVID-19

Background: Delirium incidence, duration and severity in patients admitted to the intensive care unit (ICU) due to COVID-19 is not known. Methods: We conducted an observational study at two large urban academic Level 1 trauma centers. Consecutive patients admitted to the ICU with a positive SARS-CoV-2 nasopharyngeal swab polymerase chain reaction test from March 1st, 2020 to April 27, 2020, were included. Individuals younger than 18 years of age, without any documented delirium assessments (CAM-ICU), or without a discharge disposition were excluded. The primary outcomes were delirium rates and delirium duration and the secondary outcome was delirium severity. Outcomes were assessed for up to the first 14 days of ICU stay. Results: Of 243 consecutive patients with confirmed COVID-19 admitted to the ICU, 144 met eligibility criteria and were included in the analysis. Delirium occurred in 73.6% (106/144) and delirium or coma occurred in 76.4% (110/144). Sixty-three percent of patients were positive for delirium on the first CAM-ICU assessment. The median duration of delirium and coma was 7 days (IQR: 3-10), and the median delirium duration was 5 days (IQR: 2-7). The median CAM-ICU-7 score was 6 (IQR: 4-7) representing severe delirium. Mechanical ventilation was associated with greater odds of developing delirium (OR: 42.1, 95%CI: 13.0-137.1). Mortality was 26.4% in patients with delirium compared to 15.8% in patients without delirium. Conclusions: 73.6% of patients admitted to the ICU with COVID-19 experience delirium that persists for approximately 1 week. Invasive mechanical ventilation is significantly associated with odds of delirium. Clinical attention to prevent and manage delirium and reduce delirium duration and severity is urgently needed for patients with COVID-19.Babar Khan, Sujuan Gao, and Anthony Perkins are supported through NIA R01 AG 055391, R01 AG 052493 and NHLBI R01 HL131730. Anthony Perkins is also supported by NIA grants 1K23AG062555-01 and R01AG056325. Roberto Machado is supported by 1R01HL111656, 1R01HL127342 and 1R01HL133951. Sophia Wang is supported by K23AG062555-01. Edward Marcantonio is supported by grants R01AG044518 and K24AG035075 from the NIA. Malaz Boustani received funding from NIA R01AG034205 and disclosed that he has ownership equity in two for profit companies, Preferred Population Health Management and RestUp. The products and services of the two companies are not related to the research activities of the paper

Dynamic Delirium Severity Trajectories and Their Association With 2-Year Healthcare Utilization and Mortality Outcomes

Delirium severity has been associated with a higher risk of mortality and an increasing morbidity burden. Recently defined delirium severity trajectories were predictive of 30-day mortality in a critically ill patient population. No studies to date have examined associations between delirium severity trajectories and 2-year mortality and healthcare utilization outcomes. Objectives: To examine the associations between recently defined delirium severity trajectories and 2-year healthcare utilization outcomes of emergency department visits, rehospitalizations, and mortality. Design setting and participants: This is a secondary analysis using data from the randomized controlled clinical trial Pharmacological Management of Delirium in the Intensive Care Unit and Deprescribing in the Pharmacologic Management of Delirium trial conducted from 2009 to 2015. Patients who were greater than or equal to 18 years old, were in the ICU for greater than or equal to 24 hours, and had a positive delirium assessment (Confusion Assessment Method for the ICU) were included in the original trial. Participants were included in the secondary analysis if 2-year healthcare utilization and mortality data were available (n = 431). Main outcomes and measures: Healthcare utilization data within 2 years of the initial discharge date were pulled from the Indiana Network for Patient Care. Data over a 2-year period on emergency department visits (days to first emergency department visit, number of emergency department visits), inpatient hospitalizations (days to first hospitalizations, number of hospitalizations), and mortality (time to death) were extracted. Univariate relationships, Cox proportional hazard models, and competing risk modeling were used to examine statistical relationships in SAS v9.4. Results: The overall sample (n = 431) had a mean age of 60 (sd, 16), 56% were females, and 49% African-Americans. No significant associations were identified between delirium severity trajectories and time to event for emergency department visit, mortality, or rehospitalization within 2 years of the index hospital discharge. Conclusions and relevance: This secondary analysis did not identify a significant relationship between delirium severity trajectories and healthcare utilization or mortality within 2 years of hospital discharge