Conservative Cutoff Research Articles

Identifying borderline traits in a Brazilian community sample using the Dimensional Clinical Personality Inventory 2 factors.

This study aimed to examine the discriminative capacity of Dimensional Clinical Personality Inventory 2 (IDCP-2) factors in identifying individuals with elevated Borderline Personality Disorder (BPD) traits within a Brazilian community sample while proposing an optimal cutoff score for distinguishing high BPD trait levels. The participant cohort consisted of 1,469 adults who completed assessments, including the Level of Personality Functioning Scale - Brief Form 2.0 (LPFS), Personality Inventory for DSM-5 (PID-5), IDCP-2, and Structured Clinical Interview for the DSM-IV - Personality Questionnaire (PQ-SCID-II). We categorized participants into three groups by utilizing the traits outlined in the Alternative Model of Personality Disorders (AMPD) from DSM-5 Section III. Furthermore, latent profile analysis based on PID-5 facets revealed the existence of three empirically derived profiles. Our findings demonstrate that IDCP-2 factors exhibited substantial discriminative power, marked by large effect sizes across most factors. To minimize false negatives, we suggest a conservative cutoff score of 22 as the most effective threshold for identifying individuals with high levels of BPD traits. The BPD score generated from IDCP-2 factors holds significant promise in clinical practice, offering valuable insights into a patient's propensity to exhibit a BPD profile and provide a comprehensive clinical profile.

Proposing a more conservative Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Effort Index cutoff score for forensic inpatient populations.

The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Effort Index (EI) may be unreliable at its standard recommended cutoff score when used with forensic psychiatric inpatient populations given high rates of genuine cognitive impairment. The present study sought to (a) examine the rate of invalid performance on the RBANS EI using the standard cutoff among incompetent to stand trial (IST) inpatients and (b) investigate the psychometric properties of the RBANS EI at various cutoff scores. This study was conducted using archival assessment data collected at a large forensic psychiatric hospital. Across the entire sample (N = 238, 79% male, Mage = 45 years, 24% primary Spanish-speaking), 79% were diagnosed with a schizophrenia spectrum disorder. Experiment 1 of the study (n = 165) contained IST patients who were classified as having a valid presentation. Experiment 2 contained a valid (n = 46) and invalid (n = 27) presentation group comprised of postadjudication and IST inpatients, respectively. In Experiment 1, over one third (36.4%) of the valid presentation sample scored above the standard recommended EI cutoff. In Experiment 2, applying the standard recommended cutoff score of > 3 was associated with a false positive rate of over 20%. Obtaining < 10% false positive errors was achieved at a cutoff score of > 5. At this cutoff score, the estimated local base rate of invalid responding among IST patients was 28%. Clinical and forensic implications and recommendations for adopting this more conservative RBANS EI cutoff score are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prevalence and Co-Occurrence of Psychiatric Conditions Among Bereaved Adults

Rates of grief-related psychiatric conditions, such as prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and major depressive disorder (MDD), among bereaved adults in the US are largely unknown due to limited studies that leverage national samples. To assess risk factors for and prevalence rates and co-occurrence of PGD, PTSD, and MDD among bereaved adults in the US. Data for this survey study were collected from a large US panel sample between October 10 and 28, 2022, using a web-based survey. Participants were aged 18 years or older and were proficient in English. Data analysis was conducted between March and June 2023. Probable psychiatric conditions were assessed with validated measures that used conservative cutoff scores, duration, and impairment criteria. These measures included the revised Prolonged Grief Disorder scale for PGD, the PTSD Checklist for DSM-5 for PTSD, and the Patient Health Questionnaire-9 for MDD. Data were analyzed using basic descriptives and logistic regression. A total of 2034 adults (n = 1529 and 505 in the bereaved and comparison groups, respectively) completed the study. Respondents had a mean (SD) age of 40.7 (15.9) years; the majority were women (1314 [64.6%]) and had at least some college experience (1394 [68.5%]). With regard to race and ethnicity, 392 respondents (19.3%) were Black, 138 (6.8%) were Hispanic, and 1357 (66.7%) were White. Among bereaved adults, 312 (20.4%), 518 (33.9%), and 461 (30.2%) met criteria for a presumptive diagnosis of PGD, PTSD, and MDD, respectively. Comorbidities were common, with 441 participants (28.8%) meeting criteria for at least 2 co-occurring disorders. Comorbid PGD, PTSD, and MDD were more common than any 2 co-occurring or isolated disorders; the presence of co-occurring conditions was more likely among respondents who reported a traumatic loss. Age and educational attainment were associated with the risk of psychiatric conditions; less time since the index death, loss of a psychologically close other, and a traumatic loss experience were associated with increased risk of PGD, PTSD, and MDD or their co-occurrence. In this study, the majority of bereaved adults did not meet presumptive criteria for PGD, PTSD, or MDD. Nevertheless, PGD, PTSD, and MDD were highly prevalent and comorbid, particularly among those who experienced traumatic loss. These findings underscore the need for integrated psychological care that leverages transdiagnostic mechanisms of evidence-based practice.

Dementia and mild cognitive impairment screening in an emergency homeless shelter.

Older adults represent the fastest growing segment of the homeless community. Little is known about the prevalence of dementia and mild cognitive impairment (MCI) in this population. Dementia and MCI screening using the Montreal Cognitive Assessment (MoCA) was incorporated into the standard senior evaluation for adult clients aged ≥ 55 in a large emergency homeless shelter. In a 6-week period, 104 of 112 (92.9%) assessments were positive for dementia or MCI using a standard cutoff of 26, and 81 (72.3%) were positive using a conservative cutoff of 23. There was no significant difference in MoCA scores based on sex or education level, and no significant correlation between age and MoCA score. Older adults experiencing homelessness may have a high likelihood of dementia or MCI. Routine MoCA screening in older adults experiencing homelessness is feasible and can help to identify services needed to successfully exit homelessness.

Comparing embedded performance validity indicators within the WAIS-IV Letter-Number sequencing subtest to Reliable Digit Span among adults referred for evaluation of attention-deficit/hyperactivity disorder

Objectives: This study investigated the Wechsler Adult Intelligence Scale-Fourth Edition Letter-Number Sequencing (LNS) subtest as an embedded performance validity indicator among adults undergoing an attention-deficit/hyperactivity disorder (ADHD) evaluation, and its potential incremental value over Reliable Digit Span (RDS). Method: This cross-sectional study comprised 543 adults who underwent neuropsychological evaluation for ADHD. Patients were divided into valid (n = 480) and invalid (n = 63) groups based on multiple criterion performance validity tests. Results: LNS total raw scores, age-corrected scaled scores, and age- and education-corrected T-scores demonstrated excellent classification accuracy (area under the curve of .84, .83, and .82, respectively). The optimal cutoff for LNS raw score (≤16), age-corrected scaled score (≤7), and age- and education-corrected T-score (≤36) yielded .51 sensitivity and .94 specificity. Slightly lower sensitivity (.40) and higher specificity (.98) was associated with a more conservative T-score cutoff of ≤33. Multivariate models incorporating both LNS and RDS improved classification accuracy (area under the curve of .86), and LNS scores explained a significant but modest proportion of variance in validity status above and beyond RDS. Chaining LNS T-score of ≤33 with RDS cutoff of ≤7 increased sensitivity to .69 while maintaining ≥.90 specificity. Conclusions: Findings provide preliminary evidence for the criterion and construct validity of LNS as an embedded validity indicator in ADHD evaluations. Practitioners are encouraged to use LNS T-score cutoff of ≤33 or ≤36 to assess the validity of obtained test data. Employing either of these LNS cutoffs with RDS may enhance the detection of invalid performance.

Malnutrition Screening Tools Are Not Sensitive Enough to Identify Older Hospital Patients with Malnutrition.

This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment-Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment-Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen's kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63-77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32-68%) and moderate-to-high specificity (61-98%). The PPV and NPV ranged from 59 to 94% and 67-86%, respectively. The Cohen's kappa showed poor agreement (k = 0.21-0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66-89%) and a low-to-high specificity (46-95%). The agreement was fair to good (k = 0.33-0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.

Results of Symptom Validity Testing in Portuguese Prison Inmates: The Influence of Educational Level, Age, and Conviction Status

Current guidelines for psychological assessment recommend the use of multiple validity measures in an evaluation protocol, particularly in forensic settings. As such, self-report instruments which detect distorted symptom reporting have become essential. We studied a pooled sample of 240 male inmates with the Self-Report Symptom Inventory (SRSI), the Structured Inventory of Malingered Symptomatology (SIMS), and the Symptom Validity Scale–Version 2 (EVS-2). Concurrent validity was analyzed via correlations between all three symptom validity tests (SVTs), revealing strong associations (rho ranging from .72 to .79), and ROC analyses yielded areas under the curve (AUC) values over .9 for every model. Base rates of SVT failure ranged from 7.9 to 13.3% using the most conservative cutoff scores, although true and false positive rates were not established. Education was shown to have a statistically significant effect on the mean results of the three SVTs (rho ranging from − 162 to − 283), associating lower educational levels with more bogus symptom endorsement. The influence of age and conviction status (pre-trial vs. post-trial) on the SIMS results was statistically significant as well (rho estimates of .171 and − 232). With data showing robust construct validity and excellent predictive accuracy, the instruments were shown to be adequate for use in the Portuguese prison context, but further research is required, in particular using forensic inpatients and clinical populations, and including systematic data on the presence of mental disorders.

Absolute neutrophil count (ANC) cutoff in cancer clinical trials: Implications for minority accrual in the United States (US).

101 Background: In the US, minority patients are underrepresented in cancer clinical trials. This is due to multiple factors, including socioeconomic barriers, limited medical insurance coverage and restrictive clinical trial eligibility, e.g., ANC cutoff. For the latter, conservative ANC cutoff disadvantages Black patients. Two-in-three Black individuals have a Duffy-null phenotype, that is associated with lower ANC with 5% prevalence of ANC &lt;1,500 cells/µl. To improve Black patient accrual to cancer clinical trials, lowering the ANC cutoff was proposed as a potential solution over a decade ago. Its implementation is not known. This study evaluates the ANC cutoff values as part of the eligibility criteria for cancer clinical trials. Methods: We accessed the Clinicaltrials.gov website on 5/25/2023 and obtained the ANC cutoff of cancer clinical trials conducted in the US. We included adult therapeutic trials in the phases of recruiting, not yet recruiting, enrolling by invitation, and active-not yet recruiting. Trials with drug interventions were selected. Those focusing on surgical, behavioral, nutritional and radiotherapeutic interventions were excluded. All ANC cutoff values were converted to “cells/µl” for analysis. Results: A total of 911 trials were evaluated, and 470 met the eligibility criteria. Of the 470 trials, 366 (78%) involved solid malignancies, and 104 (22%) involved hematologic malignancies. Hematologic trials have significantly lower ANC cutoffs compared to solid tumor trials with median ANC cutoff of 1,000 (range, 250-2000) vs. 1,500 (range 250-3,000); p=&lt;0.001. In all, 323 trials (68.7%) required patients to have ANC &gt;1,500, and 116 trials (24.6%), primarily hematologic, required patients to have ANC &gt;1,000. For myeloma and prostate cancer, two cancers with higher incidence among Blacks, 12.9% and 86.4% of the trials require ANC &gt;1,500, respectively. All genitourinary, breast, head &amp; neck, sarcoma, lung, skin, and neuroendocrine tumor trials excluded patients with ANC &lt;1,000. Conclusions: Most hematologic malignancy trials have a more liberal ANC cutoff allowing patients with ANC &lt;1,500 to participate. However, solid tumor trials remain more conservative, with 4 in 5 trials requiring an ANC cutoff of &gt;1,500. A strict ANC cutoff remains a barrier to minority accrual.[Table: see text]

Detection of neuron-derived cfDNA in blood plasma: a new diagnostic approach for neurodegenerative conditions.

Neurodegenerative diseases, such as Alzheimer's disease (AD), pose significant challenges in early diagnosis, leading to irreversible brain damage and cognitive decline. In this study, we present a novel diagnostic approach that utilizes whole molecule analysis of neuron-derived cell-free DNA (cfDNA) as a biomarker for early detection of neurodegenerative diseases. By analyzing Differential Methylation Regions (DMRs) between purified cortical neurons and blood plasma samples, we identified robust biomarkers that accurately distinguish between neuronal and non-neuronal cfDNA. The use of cfDNA offers the advantage of convenient and minimally invasive sample collection compared to traditional cerebrospinal fluid or tissue biopsies, making this approach more accessible and patient friendly. Targeted sequencing at the identified DMR locus demonstrated that a conservative cutoff of 5% of neuron-derived cfDNA in blood plasma accurately identifies 100% of patients diagnosed with AD, showing promising potential for early disease detection. Additionally, this method effectively differentiated between patients with mild cognitive impairment (MCI) who later progressed to AD and those who did not, highlighting its prognostic capabilities. Importantly, the differentiation between patients with neurodegenerative diseases and healthy controls demonstrated the specificity of our approach. Furthermore, this cfDNA-based diagnostic strategy outperforms recently developed protein-based assays, which often lack accuracy and convenience. While our current approach focused on a limited set of loci, future research should explore the development of a more comprehensive model incorporating multiple loci to increase diagnostic accuracy further. Although certain limitations, such as technical variance associated with PCR amplification and bisulfite conversion, need to be addressed, this study emphasizes the potential of cfDNA analysis as a valuable tool for pre-symptomatic detection and monitoring of neurodegenerative diseases. With further development and validation, this innovative diagnostic strategy has the potential to significantly impact the field of neurodegenerative disease research and patient care, offering a promising avenue for early intervention and personalized therapeutic approaches.

Performance Validity Testing on the NIH Toolbox Cognition Battery: Base Rates of Failed Embedded Validity Indicators in the Adult Normative Sample.

The goal of this study was to determine the base rates of failing proposed embedded validity indicators (EVIs) for the National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) in the normative sample. Participants included adults in the NIHTB-CB normative sample with data to calculate age-adjusted standard scores (n = 855; ages: M(SD) = 46.9(17.3), range: 18-85; 65.0% women; education: M(SD) = 14.1(2.5) years) or demographically adjusted T-scores (n = 803; ages: M(SD) = 47.3(17.3), range: 18-85; 65.3% women; education: M(SD) = 14.2(2.5) years) for all tests. The NIHTB-CB includes two tests of crystallized cognition and five tests of fluid cognition. Individual norm-referenced test performances were categorized as falling above or below liberal and conservative cutoffs based on proposed univariate EVIs. The number of univariate EVI failures was summed to compute multivariable EVIs. EVI failure rates above 10% were considered high false-positive rates, indicating specificity < .90. Using chi-square analyses, the frequencies of EVI failures were compared based on gender, race/ethnicity, education, and crystallized composite. The multivariable EVIs had predominantly low false-positive rates in the normative sample. EVI failure rates were most common among participants with low crystallized composites. Using age-adjusted standard scores, EVI failure rates varied by education, race/ethnicity, and estimated premorbid intelligence. These differences were mostly eliminated when using demographically adjusted T-scores. Multivariable EVIs requiring ≥ 4 failures using liberal cutoffs or ≥ 3 failures using conservative cutoffs had acceptable false-positive rates (i.e., < 10%) using both age-adjusted standard scores and demographically adjusted T-scores. These multivariable EVIs could be applied to large data sets with NIHTB-CB data to screen for potentially invalid test performances.

Symptom validity indices in the Posttraumatic Stress Disorder Checklist for DSM-5.

The use of symptom validity tests (SVTs) is standard practice in psychodiagnostic assessments. Embedded measures are indices within self-report measures. To date, no embedded SVTs have been identified in the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5). This research aimed to develop and validate PCL-5 SVTs in two samples of veterans. Participants completed one of two prospective research studies that included cognitive and psychological tests. Participants in Study 1 were veterans (N = 464) who served following the September 11, 2001, terrorist attacks; participants in Study 2 were veterans or service members (N = 338) who had been deployed to Iraq and/or Afghanistan. Both studies included the PCL-5 and the Structured Inventory of Malingered Symptomatology (SIMS), the latter of which served as the criterion for identifying PCL-5 SVTs. For Study 1, two separate SVTs were developed: the PCL-5 Symptom Severity scale (PSS), based on the PCL-5 total score, and the PCL-5 Rare Items scale (PRI), based on PCL-5 items infrequently endorsed at the highest item ratings. At the most conservative SIMS cutoff score, the PSS achieved excellent discrimination for both the Study 1, AUC = .840, and Study 2 samples, AUC = .858, with specific cutoff scores of ≥ 51 and ≥ 56 maximizing sensitivity while maintaining a specificity of .90. The PRI achieved good discrimination, AUCs = .760 and.726, respectively, with a cutoff score of 2 or higher indicated by both studies. The results of these two studies provide provisional support for these two embedded SVTs in the PCL-5.

What is the prevalence of developmental prosopagnosia? An empirical assessment of different diagnostic cutoffs.

The prevalence of developmental prosopagnosia (DP), lifelong face recognition deficits, is widely reported to be 2-2.5%. However, DP has been diagnosed in different ways across studies, resulting in differing prevalence rates. In the current investigation, we estimated the range of DP prevalence by administering well-validated objective and subjective face recognition measures to an unselected web-based sample of 3116 18-55 year-olds and applying DP diagnostic cutoffs from the last 14 years. We found estimated prevalence rates ranged from .64-5.42% when using a z-score approach and .13-2.95% when using a percentile approach, with the most commonly used cutoffs by researchers having a prevalence rate of .93% (z-score, .45% when using percentiles). We next used multiple cluster analyses to examine whether there was a natural grouping of poorer face recognizers but failed to find consistent grouping beyond those with generally above versus below average face recognition. Lastly, we investigated whether DP studies with more relaxed diagnostic cutoffs were associated with better performance on the Cambridge Face Perception Test. In a sample of 43 studies, there was a weak nonsignificant association between greater diagnostic strictness and better DP face perception accuracy (Kendall's tau-b correlation, τb=.18 z-score; τb=.11 percentiles). Together, these results suggest that researchers have used more conservative DP diagnostic cutoffs than the widely reported 2-2.5% prevalence. We discuss the strengths and weaknesses of using more inclusive cutoffs, such as identifying mild and major forms of DP based on DSM-5.

The Evolution of LiNi0.5Mn0.3Co0.2O2 Particle Damage from Fast Charging in Optimized, Full Li-Ion Cells

Fast charging batteries are critical to the widespread adoption of electric vehicles to compete with refueling times of combustion-based vehicles. In the near term, adapting current commercial battery technologies to perform better under fast charging conditions through engineering optimizations will greatly expedite the process while exploratory fast-charging electrode materials are being pursued. To do so, the degradation modes in optimized Li-ion batteries need to be completely explored to understand fast charging limits while maintaining a high energy density and a long cycle life. While lithium plating on graphite still remains a challenge, cathode degradation also plays a key role in battery performance. We used nano- and micro-X-ray computed tomography to characterize the mechanical degradation of LiNi0.5Mn0.3Co0.2O2 (NMC532) in optimized Li-ion batteries cycled at three rates, 1C, 6C, and 9C, and at different stages of cycle life, 225 and 600 cycles. Despite using a conservative upper voltage cutoff limit aimed to minimize extensive cathode degradation, higher charging rates and increased cycling caused the polycrystalline NMC532 particles to fracture and pulverize, which likely drives cathode capacity fade and contributes to the decrease in overall cell performance.

Different z-score cut-offs for striatal binding ratio (SBR) of DaT SPECT are needed to support the diagnosis of Parkinson's Disease (PD) and dementia with Lewy bodies (DLB).

A cut-off of -2 z-score for striatal or putaminal SBR has been to date arbitrarily used to define an abnormal DaT SPECT in patients with suspected neurodegenerative parkinsonism. We aimed to experimentally identify the most accurate z-score cut-offs for SBR of striatal and substriatal regions to independently discriminate PD and DLB, with respect to essential tremor (ET) and Alzheimer's disease (AD) respectively. Two-hundred twenty-five patients undergoing DaT SPECT were enrolled (seventy-five de novo PD, eighty ET, fifty DLB, and twenty AD). Semiquantification was computed by means of Datquant® software which returns measures of striatal SBR and z-scores with respect to 118 healthy volunteers belonging to the Parkinson's Progression Markers Initiative (PPMI). ROC analysis was used to identify most accurate cut-offs for z-score for striatum and substriatal regions (clinical diagnosis at follow-up as gold standard). Posterior putamen of the most affected hemisphere (MAH) with a z-score cut-off of - 1.27 demonstrated the highest accuracy to differentiate between PD and ET (sensitivity 0.97, specificity 0.94). The whole putamen (z-score cut-off - 0.96) was the most accurate parameter to support the diagnosis of DLB (sensitivity 0.74, specificity 0.95). Putamen to caudate ratio was accurate to detect PD (especially in early stages) while not DLB patients. We experimentally demonstrated that different substriatal regions and cut-offs for z-score of SBR should be considered to support the diagnosis of either PD or DLB. The identified less conservative cut-offs showed higher sensitivity without a measurable reduction in specificity with respect to the arbitrary - 2 z-score.

Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A

BackgroundAntiepileptic drugs, levetiracetam (LEV) and brivaracetam (BRV), bind to synaptic vesicle glycoprotein 2A (SV2A). In their anti-seizure activity, speed of brain entry may be an important factor. BRV showed faster entry into the human and non-human primate brain, based on more rapid displacement of SV2A tracer 11C-UCB-J. To extract additional information from previous human studies, we developed a nonlinear model that accounted for drug entry into the brain and binding to SV2A using brain 11C-UCB-J positron emission tomography (PET) data and the time-varying plasma drug concentration, to assess the kinetic parameter K1 (brain entry rate) of the drugs.MethodDisplacement (LEV or BRV p.i. 60 min post-tracer injection) and post-dose scans were conducted in five healthy subjects. Blood samples were collected for measurement of drug concentration and the tracer arterial input function. Fitting of nonlinear differential equations was applied simultaneously to time-activity curves (TACs) from displacement and post-dose scans to estimate 5 parameters: K1 (drug), K1(11C-UCB-J, displacement), K1(11C-UCB-J, post-dose), free fraction of 11C-UCB-J in brain (fND(11C-UCB-J)), and distribution volume of 11C-UCB-J (VT(UCB-J)). Other parameters (KD(drug), KD(11C-UCB-J), fP(drug), fP(11C-UCB-J, displacement), fP(11C-UCB-J, post-dose), fND(drug), koff(drug), koff(11C-UCB-J)) were fixed to literature or measured values.ResultsThe proposed model described well the TACs in all subjects; however, estimates of drug K1 were unstable in comparison with 11C-UCB-J K1 estimation. To provide a conservative estimate of the relative speed of brain entry for BRV vs. LEV, we determined a lower bound on the ratio BRV K1/LEV K1, by finding the lowest BRV K1 or highest LEV K1 that were statistically consistent with the data. Specifically, we used the F test to compare the residual sum of squares with fixed BRV K1 to that with floating BRV K1 to obtain the lowest possible BRV K1; the same analysis was performed to find the highest LEV K1. The lower bound of the ratio BRV K1/LEV K1 was ~ 7.ConclusionsUnder appropriate conditions, this advanced nonlinear model can directly estimate entry rates of drugs into tissue by analysis of PET TACs. Using a conservative statistical cutoff, BRV enters the brain at least sevenfold faster than LEV.

Inferring meaningful change in quality of life with posterior predictive distribution: an alternative to standard error of measurement.

In the absence of population-based information, distribution-based meaningful change metrics have been previously found to perform similarly. Yet, it is unknown how a Bayesian approach derived from Posterior Predictive Distribution (PPD) of anticipated changes would compare against existing metrics. PPD defines meaningful change as change scores that exceed the amount expected from the posterior predictive distribution given a previous score. The PPD adjusts for common statistical phenomena that arise in a pre-test-post-test setting, such as regression to the mean and post-test drift. The PPD was compared to Reliable Change Index (RCI) and Gulliksen-Lord-Novick (GLN) methods using published real-world data and simulated hypothetical data, respectively. Real-world data showed that the methods made similar classifications when the measurement reliability was above 0.80. When reliability was low at 0.50 and thus more susceptible to regression to the mean effects, PPD and GLN were able to correct for it but not the RCI. However, PPD was more conservative and sensitive to biased priors. The simulation study showed that the three methods performed similarly overall, but PPD was slightly better in detecting prevalent changes, e.g., at time 2 (against RCI at p < 0.0001; against GLN at p < 0.0001) and time 3 (p = 0.024, p = 0.002). When measurement reliability is high, as is frequent in HRQOL development efforts, the three methods performed similarly. At a cost of more conservative cutoffs and complex calculations, the Bayesian PPD nevertheless confers practical advantages when reliability is low. It may be worthy of further research and applications.

BNT-15: Revised Performance Validity Cutoffs and Proposed Clinical Classification Ranges.

Abbreviated neurocognitive tests offer a practical alternative to full-length versions but often lack clear interpretive guidelines, thereby limiting their clinical utility. To replicate validity cutoffs for the Boston Naming Test-Short Form (BNT-15) and to introduce a clinical classification system for the BNT-15 as a measure of object-naming skills. We collected data from 43 university students and 46 clinical patients. Classification accuracy was computed against psychometrically defined criterion groups. Clinical classification ranges were developed using a z -score transformation. Previously suggested validity cutoffs (≤11 and ≤12) produced comparable classification accuracy among the university students. However, a more conservative cutoff (≤10) was needed with the clinical patients to contain the false-positive rate (0.20-0.38 sensitivity at 0.92-0.96 specificity). As a measure of cognitive ability, a perfect BNT-15 score suggests above average performance; ≤11 suggests clinically significant deficits. Demographically adjusted prorated BNT-15 T-scores correlated strongly (0.86) with the newly developed z -scores. Given its brevity (<5 minutes), ease of administration and scoring, the BNT-15 can function as a useful and cost-effective screening measure for both object-naming/English proficiency and performance validity. The proposed clinical classification ranges provide useful guidelines for practitioners.

Pathological Dissociation in The National Comorbidity Survey Replication (NCS-R): Prevalence, Morbidity, Comorbidity, and Childhood Maltreatment

ABSTRACT Our aim was to examine U.S. national prevalence of pathological dissociation (PD) likely indicative of dissociative disorder, and associated morbidity, comorbidity, and childhood maltreatment. PD was assessed in 6,644 participants in the National Comorbidity Survey Replication, a nationally representative adult survey. Seven of the eight pathological dissociation taxon items were inquired about over the past month and scored on a 4-point scale. A conservative PD cutoff score was applied, with 100% specificity against healthy individuals and 84% sensitivity for Depersonalization Disorder which lies at the less severe end of the dissociative disorder spectrum; it yielded a national PD prevalence of 4.1%. The PD group had diminished physical and mental health, marked comorbidity with most major psychiatric disorders, and high likelihood of psychiatric hospitalization. Over half of PD members had attempted suicide, significantly more than individuals with lifetime major depression. Childhood maltreatment was quantified for physical abuse, witnessing domestic violence, physical neglect, emotional abuse, and emotional neglect. Total childhood trauma significantly positively predicted PD severity, as well as severity of all three pathological dissociative experiences (amnesia, depersonalization / derealization, identity alteration). Furthermore, each childhood trauma category significantly predicted PD severity uniquely and additively. Childhood maltreatment in the PD group was significantly greater than in lifetime major depression, except for similar emotional neglect, and was comparable to lifetime PTSD. The study reinforces the validity of prior PD findings across clinical and community samples, and highlights the need for increased attention toward diagnosing and treating these quite common and highly morbid disorders and their traumatic antecedents.

129 Development and External Validation of the KIIDS-TBI Tool for Managing Children with Mild Traumatic Brain Injury and Intracranial Injuries

INTRODUCTION: Clinical decision support may improve the post-neuroimaging management of children with mild traumatic brain injuries (mTBI) and intracranial injuries. While the CHIIDA score has been proposed for this purpose, a more sensitive risk model may have broader use. METHODS: We analyzed children &lt;18 years-old with mTBI and intracranial injuries included in the PECARN head injury dataset (2004-2006). We used binary recursive partitioning to predict the composite outcome of neurosurgical intervention, intubation for &gt;24 hours due to TBI, or death due to TBI. The new model, the KIIDS-TBI model, was externally validated in a separate dataset that included children treated between 2006-2019 at one of six centers participating in the pediatric TBI Research Consortium (PTRC). RESULTS: There were 839 children included in the derivation (PECARN) and 1,630 in the validation (PTRC) datasets. Derived using the PECARN dataset, the KIIDS-TBI model incorporated imaging (e.g. midline shift) and clinical (e.g. GCS score) findings. Based on the model-predicted probability of the composite outcome, three cutoffs were evaluated in the external validation (PTRC) dataset to classify patients as ‘high risk.' The most conservative cutoff (i.e. any predictor present) identified 119/119 children with the composite outcome (sensitivity 100%), but had the lowest specificity (26.3%). The other two cutoffs had worse sensitivity (94.1%-96.6%) but improved specificity (67.4%-81.3%). The CHIIDA model lacked the most conservative cutoff and otherwise showed the same or slightly worse performance compared to the other two cutoffs. CONCLUSION: The KIIDS-TBI model has high sensitivity and moderate specificity for risk-stratifying children with mTBI and intracranial injuries. Use of this clinical decision support tool may help improve the safe, resource-efficient management of this important patient population.

Four practice-based preliminary studies on Human Givens Rewind treatment for posttraumatic stress in Great Britain

Background: Human Givens (HG) Rewind is a relatively unknown trauma-focussed treatment. This paper aimed to provide preliminary evidence of the effectiveness of Rewind to treat posttraumatic stress (PTS) in a variety of clinical settings in Great Britain. Methods: An observational prospective design was used in each of the four studies. Standardised questionnaires were administered in every session. Pre- and post-treatment means and effect sizes were calculated for each study, as were ‘recovery rates’ and ‘reliable change’ rates. Results: Across four studies, a total of 274 clients completed treatment and had complete data. The data capture rate ranged from 80-100%. The mean pre-treatment scores were in the severe range. The pre-post treatment effects sizes ranged from 1.90-2.68. The percentage of clients who were below the clinical cut-off after treatment ranged from 46-56% for the more conservative lower cut-offs, and ranged between 71-82% for the higher clinical cut-offs as used by Improving Access to Psychological Therapies (IAPT). Across the four studies, 83-96% of clients had ‘reliably improved’ (88-94% on trauma-specific questionnaires), with 4-17% having no reliable change on those questionnaires. The mean number of HG treatment sessions ranged from 5-6.5 sessions (range 1–24 sessions), with between 73% and 84% of participants completing treatment in six sessions or less. Conclusions: These preliminary results indicate that HG Rewind appears to be a promising trauma treatment in a variety of settings. A randomised controlled trial is now required to determine the efficacy of this treatment.