Depression predicts cognitive and functional decline one month after coronary artery bypass graft surgery (Neuropsychiatric Outcomes After Heart Surgery study).

BACKGROUND: Prior research on cognitive and functional outcomes after coronary artery bypass graft (CABG) surgery has largely explored these two domains in isolation. In this study, we assess baseline depression and cognition as risk factors for decline in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) 1 month post-CABG surgery, which a combined measure of cognition and function. DESIGN: The Neuropsychiatric Outcomes After Heart Surgery study is a prospective observational cohort study. SETTING: A tertiary care, academic center. PARTICIPANTS: Of a total study sample of 148 patients undergoing CABG surgery, 124 (83.8%) completed 1-month follow-up assessment. Mean age was 66.3, 32 (25.8%) female and 112 (90.3%) White. MEASUREMENTS: Cognition, function, and depression were assessed on semi-structured clinical interviews. Cognitive and functional status were defined using CDR-SB; mild or major depression was defined by the Hamilton Depression Rating Scale. Additionally, neuropsychological battery was performed at baseline. RESULTS: CDR-SB decline occurred in 18 (14.5%) subjects. Older age, depression, baseline CDR-SB, and postoperative delirium were associated with 1-month decline on univariate analysis. Older age (OR 1.1 [1.0-1.2]) and depression (OR 6.2 [1.1-35.0]) remained significant on multivariate regression. In separate models, baseline performance on visual Wechsler memory scale (delayed), Hopkins verbal learning test (immediate and delayed), controlled oral word fluency test, and Trails B predicted CDR-SB decline. CONCLUSION: Roughly one in seven patients experienced CDR-SB decline 1 month after CABG surgery. Also, preoperative depression deserves recognition for being a predictor of CDR-SB decline one month post-CABG.

Depression Predicts Delirium After Coronary Artery Bypass Graft Surgery Independent of Cognitive Impairment and Cerebrovascular Disease: An Analysis of the Neuropsychiatric Outcomes After Heart Surgery Study.

OBJECTIVE: Although depression is a known risk factor for delirium after coronary artery bypass graft (CABG) surgery, it is unclear whether this risk is independent of delirium risk attributable to cognitive impairment or cerebrovascular disease. This study examines depression, mild cognitive impairment (MCI), and cerebrovascular disease as post-CABG delirium risk factors. METHODS: This prospective observational cohort study was performed in a tertiary-care academic hospital. Subjects were without dementia and undergoing CABG surgery. Preoperative cognitive assessment included Clinical Dementia Rating and neuropsychological battery; depression was assessed using Depression Interview and Structured Hamilton. Baseline intracranial stenosis was evaluated by transcranial Doppler of bilateral middle cerebral arteries (MCAs). Study psychiatrists assessed delirium on postoperative days 2-5 using the Confusion Assessment Method. RESULTS: Our analytic sample comprised 131 subjects (average age: 65.8 ± 9.2years, 27% women). MCI prevalence was 24%, preoperative depression 10%, lifetime depression 35%, and MCA stenosis (≥50%) 28%. Sixteen percent developed delirium. Multivariate analysis revealed that age, MCI (odds ratio [OR]: 5.1; 95% confidence interval [CI]: 1.3-20.1), and preoperative depression (OR: 9.9; 95% CI: 1.3-77.9)-but not lifetime depression-predicted delirium. MCA stenosis and severity predicted delirium in univariate but not multivariate analysis. Right MCA stenosis severity predicted delirium severity, but left-sided stenosis severity did not. CONCLUSION: We established that the risk of delirium attributable to depression extends beyond the potential moderating influence of cognitive impairment and cerebrovascular disease alone. Even mild depression and cognitive impairment before CABG deserve recognition for their effect on post-CABG cognitive health.

Cognitive and functional status predictors of delirium and delirium severity after coronary artery bypass graft surgery: an interim analysis of the Neuropsychiatric Outcomes After Heart Surgery study.

BACKGROUND: Cognitive and functional impairment increase risk for post-coronary artery bypass graft (CABG) surgery delirium (PCD), but how much impairment is necessary to increase PCD risk remains unclear. METHODS: The Neuropsychiatric Outcomes After Heart Surgery (NOAHS) study is a prospective, observational cohort study of participants undergoing elective CABG surgery. Pre-operative cognitive and functional status based on Clinical Dementia Rating (CDR) scale and neuropsychological battery are assessed. We defined mild cognitive impairment (MCI) based on either (1) CDR global score 0.5 (CDR-MCI) or (2) performance 1.5 SD below population means on any cognitive domain on neurocognitive battery (MCI-NC). Delirium was assessed daily post-operative day 2 through discharge using the confusion assessment method (CAM) and delirium index (DI). We investigate whether MCI - either definition - predicts delirium or delirium severity. RESULTS: So far we have assessed 102 participants (mean age 65.1 ± 9; male: 75%) for PCD. Twenty six participants (25%) have MCI-CDR; 38 (62% of those completing neurocognitive testing) met MCI-NC criteria. Fourteen participants (14%) developed PCD. After adjusting for age, sex, comorbidity, and education, MCI-CDR, MMSE, and Lawton IADL score predicted PCD on logistic regression (OR: 5.6, 0.6, and 1.5, respectively); MCI-NC did not (OR [95% CI]: 11.8 [0.9, 151.4]). Using similarly adjusted linear regression, MCI-CDR, MCI-NC, CDR sum of boxes, MMSE, and Lawton IADL score predicted delirium severity (adjusted R(2): 0.26, 0.13, 0.21, 0.18, and 0.32, respectively). CONCLUSIONS: MCI predicts post-operative delirium and delirium severity, but MCI definition alters these relationships. Cognitive and functional impairment independently predict post-operative delirium and delirium severity.

Simple score to assess the risk of rejection after orthotopic heart transplantation.

BACKGROUND: The aim of this study was to derive and validate a risk score for rejection after orthotopic heart transplantation. METHODS AND RESULTS: The United Network for Organ Sharing registry was used to identify patients undergoing orthotopic heart transplantation between 1998 and 2008. A total of 14 265 eligible patients were randomly divided into derivation (80%; n=11 412) and validation (20%; n=2853) cohorts. The primary outcome was drug-treated rejection within 1 year of orthotopic heart transplantation. Covariates found to be associated (exploratory univariate P<0.2) with rejection were entered into a multivariable logistic regression model. Inclusion of each variable in the model was assessed by improvement in the McFadden pseudo-R(2), likelihood ratio test, and c index. A risk score was then generated through the use of relative magnitudes of the odds ratios from the derivation cohort, and its ability to predict rejection was tested independently in the validation cohort. A 13-point risk score incorporating 4 variables (age, race, sex, HLA matching) was created. The mean scores in the derivation and validation cohorts were 8.3±2.2 and 8.4±2.1, respectively. Predicted 1-year rejection rates based on the derivation cohort ranged from 16.2% (score=0) to 50.7% (score=13; P<0.001). In weighted regression analysis, there was a strong correlation between these predicted rates of rejection and actual, observed rejection rates in the validation cohort (r(2)=0.96, P<0.001). Logistic regression analysis also demonstrated a significant association (odds ratio, 1.13; P<0.001). The c index of the composite score was equivalent in both the derivation and validation cohorts (c=0.67). CONCLUSIONS: This novel 13-point risk score is highly predictive of clinically significant rejection episodes within 1 year of orthotopic heart transplantation. It has potential utility in tailoring immunosuppressive regimens and in research stratification in orthotopic heart transplantation.

Ventricular assist device implantation in the elderly: nationwide outcomes in the United States.

BACKGROUND: The aim of this study was to evaluate nationwide outcomes of ventricular assist device (VAD) implantation in elderly patients in the United States. METHODS: Patients undergoing VAD implantation between 2003 and 2008 were identified in the Nationwide Inpatient Sample. The primary outcome was inpatient mortality following VAD implantation. Secondary outcomes included disposition following discharge and costs of care. After stratification based on primary versus postcardiotomy VAD support, outcomes were compared between controls aged 60-69 years and elderly patients aged ≥70 years. RESULTS: A total of 2787 patients aged 60-69 years and 1472 patients aged ≥70 years underwent VAD implantation during the study period. Unadjusted mortality rates were comparable between elderly and control patients in both primary support (35.7% vs. 32.1%, p = 0.61) and postcardiotomy support (58.1% vs. 56.1%, p = 0.70). Similarly, in risk-adjusted multivariable logistic regression analysis incorporating clinically relevant variables, age ≥70 did not exert an independent effect on inpatient mortality for either indication. Inpatient costs in the elderly were lower than controls in the primary support cohort, although costs per day were similar, with comparable overall costs between age groups in the postcardiotomy cohort. Elderly survivors were discharged to a facility more frequently than control survivors (primary: 49.9% vs. 29.6%, p = 0.007; postcardiotomy: 67.4% vs. 45.7%, p = 0.03). CONCLUSIONS: This large-cohort population-based analysis provides a useful framework for inpatient prognosis and resource utilization in elderly patients undergoing VAD implantation. Although mortality rates and costs were found to be comparable between elderly patients and those aged 60-69 years, these rates were nonetheless significant. This combined with more frequent discharge-to-facility in elderly survivors underscores the importance of careful patient selection in this population.

"I'm in My Feelings Now": Examination of Advance Care Planning Video Declarations by People with Advanced Cancer from a Safety Net Hospital.

Background: Advance care planning (ACP) is underutilized among those with advanced cancer, leading to the potential of not receiving goal-concordant care. Objectives: To understand the experience of patients in creating a video declaration (ViDec) of their ACP preferences and their family member/caregivers' perceptions after viewing their ViDec. Design: Qualitative study among patients and family members/caregivers. Setting/Subjects: Patients were recruited from a large safety net hospital in the United States. Patients with any type of advanced cancer were enrolled to create a ViDec and participate in an individual interview. Patients also identified a family member/caregiver to participate. Measurements: Content and perceptions of usefulness of ViDecs among patients and family members/caregivers. Results: In total, 32 patients participated. Patients had a mean age of 61 (10) years, 15 (47%) were women, 14 (44%) were Black or African American, and 12 (37%) had a high school education or less; 25 family members/caregivers participated. Across all ViDecs, the most common theme pertained to ACP for preferred medical treatments (97%). We describe three case studies of patient and caregiver pairs to represent salient dimensions of our data: (1) high perceived usefulness of ViDec, (2) populations at risk for not receiving goal-concordant care, and (3) varied responses to ViDec among family members/caregivers. Recommendations to improve the ViDec process included providing structured prompts to patients. Conclusions: These case studies highlight the potential high-perceived usefulness of ViDecs across patients and caregivers. ViDecs have the potential to improve care among patients with advanced cancer.

Institutional factors beyond procedural volume significantly impact center variability in outcomes after orthotopic heart transplantation.

OBJECTIVE: To evaluate the contribution of institutional volume and other unmeasured institutional factors beyond volume to the between-center variability in outcomes after orthotopic heart transplantation (OHT). BACKGROUND: It is unclear if institutional factors beyond volume have a significant impact on OHT outcomes. METHODS: The United Network for Organ Sharing registry was used to identify OHTs performed between 2000 and 2010. Separate mixed-effect logistic regression models were constructed, with the primary endpoint being post-OHT mortality. Model A included only individual centers, model B added validated recipient and donor risk indices as well as the year of transplantation, and model C added institutional volume as a continuous variable to model B. The reduction in between-center variability in mortality between models B and C was used to define the contribution of institutional volume. Kaplan-Meier survival curves were also compared after stratifying patients into equal-size tertiles based on center volume. RESULTS: A total of 119 centers performed OHT in 19,156 patients. After adjusting for transplantation year and differences in recipient and donor risk, decreasing center volume was associated with an increased risk of 1-year mortality (P < 0.001). However, procedural volume only accounted for 16.7% of the variability in mortality between centers, and significant between-center variability persisted after adjusting for institutional volume (P<0.001). In Kaplan-Meier analysis, there was significant variability in 1-year survival between centers within each volume category: low-volume (66.7%-96.6%), intermediate-volume (80.7%-97.3%), and high-volume (83.8%-93.9%). These trends were also observed with 5-year mortality. CONCLUSIONS: This large-cohort analysis demonstrates that although institutional volume is a significant predictor of post-OHT outcomes, there are other unmeasured institutional factors that contribute substantially to the between-center variability in outcomes. Institutional volume should therefore not be the sole indicator of "center quality" in OHT.

Review of methods for objective surgical skill evaluation.

BACKGROUND: Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. METHODS: The review for this paper is obtained from a Google Scholar and PubMed search of the key words "objective surgical skill evaluation." Only studies that included motion analysis were used. RESULTS: In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.

Emergency cardiac surgery in patients with acute coronary syndromes: a review of the evidence and perioperative implications of medical and mechanical therapeutics.

Patients with acute coronary syndromes who require emergency cardiac surgery present complex management challenges. The early administration of antiplatelet and antithrombotic drugs has improved overall survival for patients with acute myocardial infarction, but to achieve maximal benefit, these drugs are given before coronary anatomy is known and before the decision to perform percutaneous coronary interventions or surgical revascularization has been made. A major bleeding event secondary to these drugs is associated with a high rate of death in medically treated patients with acute coronary syndrome possibly because of subsequent withholding of antiplatelet and antithrombotic therapies that otherwise reduce the rate of death, stroke, or recurrent myocardial infarction. Whether the added risk of bleeding and blood transfusion in cardiac surgical patients receiving such potent antiplatelet or antithrombotic therapy before surgery specifically for acute coronary syndromes affects long-term mortality has not been clearly established. For patients who do proceed to surgery, strategies to minimize bleeding include stopping the anticoagulation therapy and considering platelet and/or coagulation factor transfusion and possibly recombinant-activated factor VIIa administration for refractory bleeding. Mechanical hemodynamic support has emerged as an important option for patients with acute coronary syndromes in cardiogenic shock. For these patients, perioperative considerations include maintaining appropriate anticoagulation, ensuring suitable device flow, and periodically verifying correct device placement. Data supporting the use of these devices are derived from small trials that did not address long-term postoperative outcomes. Future directions of research will seek to optimize the balance between reducing myocardial ischemic risk with antiplatelet and antithrombotics versus the higher rate perioperative bleeding by better risk stratifying surgical candidates and by assessing the effectiveness of newer reversible drugs. The effects of mechanical hemodynamic support on long-term patient outcomes need more stringent analysis.

Safe and effective intravenous thrombolysis for acute ischemic stroke caused by left atrial myxoma.

Atrial myxoma may be associated with syncope or sudden death attributed to left-sided cardiac outflow obstruction or embolization caused by tumor dislodgement or thrombus formation. Definitive treatment for primary and secondary stroke prevention is surgical resection. The role of thrombolysis in acute brain ischemia in patients with atrial myxoma is not defined. There are few data available regarding safety and efficacy of thrombolytic therapy in acute ischemic strokes caused by atrial myxoma. Prior case reports described partial success using intra-arterial local thrombolysis; however, this is invasive and can be associated with significant complications. A previously reported case of systemic thrombolysis resulted in development of cerebral hemorrhage. We describe a young man who presented with syncope and a dense stroke developing as a complication of atrial myxoma, followed by a remarkable recovery after treatment with intravenous recombinant tissue plasminogen activator and urgent cardiac surgery. Contrary to some expert opinion, systemic thrombolytic therapy may be safely and effectively used to treat acute ischemic strokes from atrial myxoma.

Automatic recognition of surgical motions using statistical modeling for capturing variability.

The ability to accurately recognize elementary surgical gestures is a stepping stone to automated surgical assessment and surgical training. However, as the pool of subjects increases, variation in surgical techniques and unanticipated motion increases the challenge of creating robust statistical models of gestures. This paper examines the applicability of advanced modeling techniques from automated speech recognition to the problem of increasing variability in surgical motions. In particular, we demonstrate the effectiveness of automatically bootstrapped user-adaptive models on diverse data acquired from the da Vinci surgical robot.

Cognitive Outcomes After Heart Valve Surgery: A Systematic Review and Meta-Analysis.

OBJECTIVES: To summarize evidence on cognitive outcomes after heart valve surgery; secondary aim, to examine whether aortic and mitral valve surgery are associated with different cognitive outcomes. DESIGN: Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review and meta-analysis. SETTING: Cardiac surgery. PARTICIPANTS: Individuals undergoing heart valve surgery. MEASUREMENTS: We searched MEDLINE, EMBASE, and PsycINFO for peer-reviewed reports of individuals undergoing heart valve surgery who underwent pre- and postoperative cognitive assessment. Our initial search returned 1,475 articles, of which 12 were included. Postoperative cognitive results were divided into those from 1 week to 1 month (early outcomes, npooled = 450) and from 2 to 6 months (intermediate outcomes; npooled = 722). No studies with longer-term outcomes were identified. RESULTS: Subjects had moderate early cognitive decline from baseline (Becker mean gain effect size (ES)=-0.39 ± 0.27) that improved slightly by 2 to 6 months (ES=-0.25 ± 0.38). Individuals undergoing aortic valve surgery-who were older on average than those undergoing mitral valve surgery (68 vs 57)-had greater early cognitive decline than those undergoing mitral valve surgery (ES=-0.68 vs -0.12), but both cohorts had similar decline 2 to 6 months postoperatively (ES=-0.27 vs -0.20). CONCLUSIONS: Heart valve surgery is associated with cognitive decline over the 6 months after surgery, but outcomes beyond 6 months are unclear. These findings highlight the cognitive vulnerability of this population, especially older adults with aortic stenosis. © 2018 American Geriatrics Society and Wiley Periodicals, Inc. J Am Geriatr Soc 66:2327-2334, 2018.

Nontuberculous Mycobacterium Infections Associated With Heater-Cooler Devices.

BACKGROUND: Disseminated nontuberculous mycobacterium infections have occurred following surgical procedures involving extracorporeal circulation; contaminated water from heater-cooler devices (HCDs) has been implicated as the source. The purpose of this review was to evaluate the public health concern and to educate physicians who care for this patient population. METHODS: The Food and Drug Administration Medical Device Reporting (MDR) database was queried for reports received between January 2010 and August 2016 for patient infections and device contaminations associated with the use of HCDs. Reports were reviewed for type of infection, patient demographics or outcome, reporting country, HCD manufacturer, and the time to event occurrence. RESULTS: A total of 339 MDR reports involving 99 facilities and 5 HCD manufacturers were found. MDR reports originated within (n = 154) and outside the United States (n = 185), and included 107 MDR reports describing patient infections involving at least 86 patients and 232 MDR reports describing HCD contamination without known patient infections. The MDR reports identified the surgical procedure in 94 reports and infection location in 83 reports. The time from surgical procedure using an HCD to infection diagnosis was calculable in 67 reports and was reported up to 60 months following the initial surgery. Nontuberculous mycobacterium was the most frequent organism identified, with M. chimaera being the predominate isolate. CONCLUSIONS: Nontuberculous mycobacterium infections associated with HCDs used during cardiothoracic surgery may have a long latency period and may be lethal. Cardiothoracic surgeon awareness or involvement in this issue is critical in helping to mitigate this emerging public health concern.

Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation.

Transesophageal echocardiography (TEE) is routinely used to provide important qualitative and quantitative information regarding mitral regurgitation. Contemporary planning of surgical mitral valve repair, however, still relies heavily upon subjective predictions based on experience and intuition. While patient-specific mitral valve modeling holds promise, its effectiveness is limited by assumptions that must be made about constitutive material properties. In this paper, we propose and develop a semi-automated framework that combines machine learning image analysis with geometrical and biomechanical models to build a patient-specific mitral valve representation that incorporates image-derived material properties. We use our computational framework, along with 3D TEE images of the open and closed mitral valve, to estimate values for chordae rest lengths and leaflet material properties. These parameters are initialized using generic values and optimized to match the visualized deformation of mitral valve geometry between the open and closed states. Optimization is achieved by minimizing the summed Euclidean distances between the estimated and image-derived closed mitral valve geometry. The spatially varying material parameters of the mitral leaflets are estimated using an extended Kalman filter to take advantage of the temporal information available from TEE. This semi-automated and patient-specific modeling framework was tested on 15 TEE image acquisitions from 14 patients. Simulated mitral valve closures yielded average errors (measured by point-to-point Euclidean distances) of 1.86 ± 1.24 mm. The estimated material parameters suggest that the anterior leaflet is stiffer than the posterior leaflet and that these properties vary between individuals, consistent with experimental observations described in the literature.

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.

Intervention planning is essential for successful Mitral Valve (MV) repair procedures. Finite-element models (FEM) of the MV could be used to achieve this goal, but the translation to the clinical domain is challenging. Many input parameters for the FEM models, such as tissue properties, are not known. In addition, only simplified MV geometry models can be extracted from non-invasive modalities such as echocardiography imaging, lacking major anatomical details such as the complex chordae topology. A traditional approach for FEM computation is to use a simplified model (also known as parachute model) of the chordae topology, which connects the papillary muscle tips to the free-edges and select basal points. Building on the existing parachute model a new and comprehensive MV model was developed that utilizes a novel chordae representation capable of approximating regional connectivity. In addition, a fully automated personalization approach was developed for the chordae rest length, removing the need for tedious manual parameter selection. Based on the MV model extracted during mid-diastole (open MV) the MV geometric configuration at peak systole (closed MV) was computed according to the FEM model. In this work the focus was placed on validating MV closure computation. The method is evaluated on ten in vitro ovine cases, where in addition to echocardiography imaging, high-resolution µCT imaging is available for accurate validation.

Fatal outcome of a calcified amorphous tumor of the heart (cardiac CAT).

Calcified amorphous tumor of the heart (cardiac CAT) is an unusual non-neoplastic cardiac mass that can mimic a more malignant lesion. We describe a case of cardiac CAT in a 60-year-old female who presented with syncope. Workup revealed a 2.1-cm mass in the right ventricular wall involving the chordae tendineae of the tricuspid valve, impacting right ventricular function. Magnetic resonance imaging, echocardiography, angiography, and histologic descriptions of the lesion are described.

Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions.

This paper reports our progress in developing techniques for "parsing" raw motion data from a simple surgical task into a labeled sequence of surgical gestures. The ability to automatically detect and segment surgical motion can be useful in evaluating surgical skill, providing surgical training feedback, or documenting essential aspects of a procedure. If processed online, the information can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. Robotic surgical systems such as the da Vinci system from Intuitive Surgical provide a rich source of motion and video data from surgical procedures. The application programming interface (API) of the da Vinci outputs 192 kinematics values at 10 Hz. Through a series of feature-processing steps, tailored to this task, the highly redundant features are projected to a compact and discriminative space. The resulting classifier is simple and effective.Cross-validation experiments show that the proposed approach can achieve accuracies higher than 90% when segmenting gestures in a 4-throw suturing task, for both expert and intermediate surgeons. These preliminary results suggest that gesture-specific features can be extracted to provide highly accurate surgical skill evaluation.