Faculty Bibliography

PURPOSE/OBJECTIVE:Brain responsive neurostimulation (NeuroPace) treats patients with refractory focal epilepsy and provides chronic electrocorticography (ECoG). We explored how machine learning algorithms applied to interictal ECoG could assess clinical response to changes in neurostimulation parameters. METHODS:We identified five responsive neurostimulation patients each with ≥200 continuous days of stable medication and detection settings (median, 358 days per patient). For each patient, interictal ECoG segments for each month were labeled as "high" or "low" to represent relatively high or low long-episode (i.e., seizure) count compared with the median monthly long-episode count. Power from six conventional frequency bands from four responsive neurostimulation channels were extracted as features. For each patient, five machine learning algorithms were trained on 80% of ECoG, then tested on the remaining 20%. Classifiers were scored by the area-under-the-receiver-operating-characteristic curve. We explored how individual circadian cycles of seizure activity could inform classifier building. RESULTS:Support vector machine or gradient boosting models achieved the best performance, ranging from 0.705 (fair) to 0.892 (excellent) across patients. High gamma power was the most important feature, tending to decrease during low-seizure-frequency epochs. For two subjects, training on ECoG recorded during the circadian ictal peak resulted in comparable model performance, despite less data used. CONCLUSIONS:Machine learning analysis on retrospective background ECoG can classify relative seizure frequency for an individual patient. High gamma power was the most informative, whereas individual circadian patterns of seizure activity can guide model building. Machine learning classifiers built on interictal ECoG may guide stimulation programming.

BACKGROUND AND AIMS:Covert HE (CHE) is a common early stage of HE associated with poor outcomes. Available neuropsychiatric diagnostic testing is underutilized and has significant clinical limitations. Sleep deterioration is consistently associated with CHE and HE; however, objective data is sparse and it has not been studied longitudinally. We longitudinally study and describe an association of sleep metrics with CHE as detected by a commercial wearable technology. METHODS:We monitored sleep for 6 months using a commercial fitness tracker in 25 participants with cirrhosis, hypothesizing that CHE as diagnosed by psychometric testing would be associated with significant reductions in sleep quality, especially restorative sleep (deep sleep + rapid eye movement). Mixed-effects modeling was performed to evaluate sleep factors associated with CHE and developed and internally validated a score based on these sleep metrics for associated CHE. RESULTS:Across 2862 nights with 66.3% study adherence, we found that those with CHE had consistently worse sleep, including an average of 1 hour less of nightly restorative sleep, driven primarily by reductions in rapid eye movement. A model including albumin, bilirubin, rapid eye movement, sleep disturbances, and sleep consistency showed good discrimination (area under the receiver operating curve=0.79) for CHE status with a sensitivity of 76% and specificity of 69%. CONCLUSIONS:Our large longitudinal study of sleep in cirrhosis suggests that sleep derangements in CHE can be detected using wearable technology. Given the known importance of sleep to overall health and CHE/HE to prognosis in cirrhosis, the ability to associate dynamic sleep metrics with CHE may in the future help with the detection and passive monitoring as factors that precipitate decompensation of cirrhosis become better understood and mobile health data validation and integration improves.

Ovarian clear cell carcinoma (OCCC) is a relatively uncommon epithelial ovarian malignancy with unique clinical, histopathologic and genetic characteristics. Patients with advanced OCCC have poor outcomes and are resistant to standard chemotherapy. Targeted therapy offers a novel approach for treating OCCC. We report the case of a 45-year-old female patient with advanced OCCC who experienced relapse after standard treatment. Further, a frameshift mutation in the homologous recombination repair-related gene RAD50 (RAD50-p.I371Ffs*8) was identified by genetic testing. Next, the patient had received targeted combination therapy with poly (ADP-ribose) polymerase (PARP) inhibitor pamiparib and bevacizumab, achieving partial remission. Patient's symptoms improved significantly compared to before. To date, the patient has been followed up for more than half a year with favorable survival and high quality of life. The case report suggested that parmiparib-targeted therapy is a viable treatment option for advanced OCCC patients with RAD50 mutation.

BACKGROUND:Despite the growing contributions of critical care anesthesiologists to clinical practice, research, and administrative leadership of intensive care units (ICUs), relatively little is known about the subspecialty-specific clinical practice environment. An understanding of contemporary clinical practice is essential to recognize the opportunities and challenges facing critical care anesthesia, optimize staffing patterns, assess sustainability and satisfaction, and strategically plan for future activity, scope, and training. This study surveyed intensivists who are members of the Society of Critical Care Anesthesiologists (SOCCA) to evaluate practice patterns of critical care anesthesiologists, including compensation, types of ICUs covered, models of overnight ICU coverage, and relationships between these factors. We hypothesized that variability in compensation and practice patterns would be observed between individuals. METHODS:Board-certified critical care anesthesiologists practicing in the United States were identified using the SOCCA membership distribution list and invited to take a voluntary online survey between May and June 2021. Multiple-choice questions with both single- and multiple-select options were used for answers with categorical data, and adaptive questioning was used to clarify stem-based responses. Respondents were asked to describe practice patterns at their respective institutions and provide information about their demographics, salaries, effort in ICUs, as well as other activities. RESULTS:A total of 490 participants were invited to take this survey, and 157 (response rate 32%) surveys were completed and analyzed. The majority of respondents were White (73%), male (69%), and younger than 50 years of age (82%). The cardiothoracic/cardiovascular ICU was the most common practice setting, with 69.5% of respondents reporting time working in this unit. Significant variability was observed in ICU practice patterns. Respondents reported spending an equal proportion of their time in clinical practice in the operating rooms and ICUs (median, 40%; interquartile range [IQR], 20%-50%), whereas a smaller proportion-primarily those who completed their training before 2009-reported administrative or research activities. Female respondents reported salaries that were $36,739 less than male respondents; however, this difference was not statistically different, and after adjusting for age and practice type, these differences were less pronounced (-$27,479.79; 95% confidence interval [CI], -$57,232.61 to $2273.03; P = .07). CONCLUSIONS:These survey data provide a current snapshot of anesthesiology critical care clinical practice patterns in the United States. Our findings may inform decision-making around the initiation and expansion of critical care services and optimal staffing patterns, as well as provide a basis for further work that focuses on intensivist satisfaction and burnout.

OBJECTIVE:This study examined Dot Counting Test (DCT) performance among patient populations with no/minimal impairment and mild impairment in an attempt to cross-validate a more parsimonious interpretative strategy and to derive optimal E-Score cutoffs. METHOD: = 183) settings. Patients were separated by validity status (valid/invalid), and subsequently two comparison groups were formed from each sample's valid group. Namely, Group 1 included patients with no to minimal cognitive impairment, and Group 2 included those with mild neurocognitive disorder. Analysis of variance tested for differences between rounded and unrounded DCT E-Scores across both comparison groups and the invalid group. Receiver operating characteristic curve analyses identified optimal validity cut-scores for each sample and stratified by comparison groups. RESULTS:In the VA sample, cut scores of ≥13 (rounded) and ≥12.58 (unrounded) differentiated Group 1 from the invalid performers (87% sensitivity/88% specificity), and cut scores of ≥17 (rounded; 58% sensitivity/90% specificity) and ≥16.49 (unrounded; 61% sensitivity/90% specificity) differentiated Group 2 from the invalid group. Similarly, in the AMC group, a cut score of ≥13 (rounded and unrounded; 75% sensitivity/90% specificity) differentiated Group 1 from the invalid group, whereas cut scores of ≥18 (rounded; 43% sensitivity/94% specificity) and ≥16.94 (unrounded; 46% sensitivity/90% specificity) differentiated Group 2 from the invalid performers. CONCLUSIONS:Different cut scores were indicated based on degree of cognitive impairment, and provide proof-of-concept for a more parsimonious interpretative paradigm than using individual cut scores derived for specific diagnostic groups.

Type 1 diabetes (T1D) may affect the peripheral nervous system and alter the expression of proteins contributing to inflammation and cellular cytoskeleton dysfunction, in most cases leading to the development of diabetic length-dependent neuropathy (DLDN). In the present study, we performed immunohistochemistry (IHC) to probe the expression of the receptor for advanced glycation end products (RAGE); its key ligands, high-mobility group box 1 (HMGB1), S100 calcium-binding protein B (S100B), and carboxymethyl-lysine (CML - advanced glycation end products (AGE)); and its cytoplasmic tail-binding partner, diaphanous related formin 1 (DIAPH1) and associated molecules, beta-actin (ACTB) and profilin 1 (PFN1) proteins in sciatic nerves harvested from seven-month old FVB/OVE26 mice with genetically-mediated T1D. We found that the amount of RAGE, HMGB1, and S100B proteins was elevated in diabetic vs the non-diabetic groups, while the amount of DIAPH1, ACTB, as well as PFN1 proteins did not differ between these groups. Moreover, our data revealed linear dependence between RAGE and HMGB1 proteins. Interaction criss-cross of selected sets of proteins in the sciatic nerve revealed that there were connected in a singular network. Our results indicate that T1D may alter expression patterns of RAGE axis proteins and thus contribute to DLDN.

Missense and truncating variants in the X-chromosome-linked CLCN4 gene, resulting in reduced or complete loss-of-function (LOF) of the encoded chloride/proton exchanger ClC-4, were recently demonstrated to cause a neurocognitive phenotype in both males and females. Through international clinical matchmaking and interrogation of public variant databases we assembled a database of 90 rare CLCN4 missense variants in 90 families: 41 unique and 18 recurrent variants in 49 families. For 43 families, including 22 males and 33 females, we collated detailed clinical and segregation data. To confirm causality of variants and to obtain insight into disease mechanisms, we investigated the effect on electrophysiological properties of 59 of the variants in Xenopus oocytes using extended voltage and pH ranges. Detailed analyses revealed new pathophysiological mechanisms: 25% (15/59) of variants demonstrated LOF, characterized by a "shift" of the voltage-dependent activation to more positive voltages, and nine variants resulted in a toxic gain-of-function, associated with a disrupted gate allowing inward transport at negative voltages. Functional results were not always in line with in silico pathogenicity scores, highlighting the complexity of pathogenicity assessment for accurate genetic counselling. The complex neurocognitive and psychiatric manifestations of this condition, and hitherto under-recognized impacts on growth, gastrointestinal function, and motor control are discussed. Including published cases, we summarize features in 122 individuals from 67 families with CLCN4-related neurodevelopmental condition and suggest future research directions with the aim of improving the integrated care for individuals with this diagnosis.

OBJECTIVE:This study examined the extent to which demographic variables (i.e., age, education, premorbid IQ, sex, ethnoracial identity, and presence/absence of external incentive) affect performance validity test (PVT) performance. METHOD/METHODS:= 111). All patients completed a battery including five PVTs. Premorbid IQ was assessed using the Test of Premorbid Functioning (TOPF) in the AMC sample. RESULTS:Multiple correlations between demographic variables and individual PVT performance were statistically significant, but accompanying effect sizes were small, except for the relationship of premorbid IQ and reliable digit span (RDS). Regressions showed demographic variables accounted for 7%-11% of the variance in individual PVT scores in the AMC sample, and 6%-26% in the VA sample, premorbid IQ driving results in the AMC sample and compensation-seeking status in the VA sample. Other demographic variables did not correlate with compensation-seeking status. Additionally, premorbid IQ was found to be significantly higher in validly performing individuals compared to those performing invalidly in the AMC sample. CONCLUSION/CONCLUSIONS:Most demographic factors evaluated accounted for relatively little variance in individual PVT performance and did not significantly predict overall validity categorization. Compensation-seeking status correlated with validity classification across both groups, but offers limited diagnostic utility itself compared to objective PVT scores. Premorbid IQ within the AMC group demonstrated influence on particular PVTs (i.e., RDS) reflecting the difficulty of assessing validity within low IQ populations, particularly with PVTs more strongly correlated with IQ. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

In complex visuomotor tasks, such as cooking, people make many saccades to continuously search for items before and during reaching movements. These tasks require cognitive resources, such as short-term memory and task-switching. Cognitive load may impact limb motor performance by increasing demands on mental processes, but mechanisms remain unclear. The Trail-Making Tests, in which participants sequentially search for and make reaching movements to 25 targets, consist of a simple numeric variant (Trails-A) and a cognitively challenging variant that requires alphanumeric switching (Trails-B). We have previously shown that stroke survivors and age-matched controls make many more saccades in Trails-B, and those increases in saccades are associated with decreases in speed and smoothness of reaching movements. However, it remains unclear how patients with neurological injuries, e.g., stroke, manage progressive increases in cognitive load during visuomotor tasks, such as the Trail-Making Tests. As Trails-B trial progresses, switching between numbers and letters leads to progressive increases in cognitive load. Here, we show that stroke survivors with damage to frontoparietal areas and age-matched controls made more saccades and had longer fixations as they progressed through the 25 alphanumeric targets in Trails-B. Furthermore, when stroke survivors made saccades during reaching movements in Trails-B, their movement speed slowed down significantly. Thus, damage to frontoparietal areas serving cognitive motor functions may cause interference between oculomotor, visual, and limb motor functions, which could lead to significant disruptions in activities of daily living. These findings augment our understanding of the mechanisms that underpin cognitive-motor interference during complex visuomotor tasks.