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1.
Article in English | MEDLINE | ID: mdl-36626207

ABSTRACT

OBJECTIVE: To compare peel-induced maculopathy (PIM) using surgical forceps versus the microvacuum pick (MVP). METHODS: Consecutive eyes undergoing internal limiting membrane (ILM) peeling using either the MVP or forceps were assessed. En face optical coherence tomography (OCT) images at the level of the nerve fiber layer were generated for 6-month postoperative visit. The percentage of the imaged area showing PIM was termed the PIM index. PIM severity was additionally measured using a qualitative PIM severity scale. RESULTS: Seventy-four consecutive eyes underwent ILM peeling with either the MVP (36/74; 49%) or forceps (38/74; 51%). At month-6 postoperatively, the mean PIM index for forceps was 7.7% vs 4.7% for the MVP (P < 0.001, R2 = 0.15). At 6 months, 26/38 eyes (68.5%) in the forceps group had either moderate or severe PIM compared to 12/36 eyes (33.3%) in the MVP group (P = 0.001). CONCLUSIONS: ILM peeling with the MVP resulted in lower PIM severity compared to forceps. [Ophthalmic Surg Lasers Imaging Retina 2023;54:37-42.].


Subject(s)
Epiretinal Membrane , Macular Degeneration , Retinal Diseases , Humans , Epiretinal Membrane/surgery , Vitrectomy/adverse effects , Vitrectomy/methods , Retina , Retinal Diseases/diagnosis , Retinal Diseases/etiology , Retinal Diseases/surgery , Macular Degeneration/surgery , Basement Membrane/surgery , Tomography, Optical Coherence , Retrospective Studies
2.
Retina ; 42(5): 899-905, 2022 05 01.
Article in English | MEDLINE | ID: mdl-35067611

ABSTRACT

PURPOSE: To examine outcomes of eyes with neovascular age-related macular degeneration that were switched to brolucizumab because of an unsatisfactory response to bevacizumab, ranibizumab, and/or aflibercept and then switched back because of the presence or risk of intraocular inflammation. METHODS: Retrospective case series of 51 eyes. Visual acuity and retinal anatomy on optical coherence tomography were recorded at the first brolucizumab injection (T1), the final brolucizumab injection (T2), and 6 months following the final brolucizumab injection (T3). RESULTS: At T2, 41 eyes (41/51%, 80%) had decreased subretinal fluid (31 eyes), intraretinal fluid (12 eyes), or pigment epithelial detachment height (12 eyes). At T3, decreased subretinal fluid was sustained in 17 eyes (17/31%, 55%), decreased intraretinal fluid was sustained in eight eyes (8/12%, 67%), and decreased pigment epithelial detachment height was sustained in eight eyes (8/12%, 67%). Mean logarithm of the minimum angle of resolution visual acuity at T1, T2, and T3 was 0.396 (∼20/50), 0.441 (∼20/55), and 0.468 (∼20/59), respectively. During the brolucizumab treatment period, 11 eyes (11/51%, 22%) developed intraocular inflammation, including one case of retinal vasculitis. CONCLUSION: Interim treatment with brolucizumab resulted in anatomical improvements in 41 eyes (41/51%, 80%) that were maintained in 22 of these eyes (22/41%, 54%) for at least 6 months after switching back to the original anti-vascular endothelial growth factor therapeutic. There were no corresponding significant changes in visual acuity.


Subject(s)
Angiogenesis Inhibitors , Retinal Detachment , Angiogenesis Inhibitors/therapeutic use , Antibodies, Monoclonal, Humanized , Humans , Inflammation/drug therapy , Intravitreal Injections , Retinal Detachment/drug therapy , Retrospective Studies , Vascular Endothelial Growth Factor A
3.
Seizure ; 86: 155-160, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33621828

ABSTRACT

PURPOSE: While certain clinical factors suggest a diagnosis of dissociative seizures (DS), otherwise known as functional or psychogenic nonepileptic seizures (PNES), ictal video-electroencephalography monitoring (VEM) is the gold standard for diagnosis. Diagnostic delays were associated with worse quality of life and more seizures, even after treatment. To understand why diagnoses were delayed, we evaluated which factors were associated with delay to VEM. METHODS: Using data from 341 consecutive patients with VEM-documented dissociative seizures, we used multivariate log-normal regression with recursive feature elimination (RFE) and multiple imputation of some missing data to evaluate which of 76 clinical factors were associated with time from first dissociative seizure to VEM. RESULTS: The mean delay to VEM was 8.4 years (median 3 years, IQR 1-10 years). In the RFE multivariate model, the factors associated with longer delay to VEM included more past antiseizure medications (0.19 log-years/medication, standard error (SE) 0.05), more medications for other medical conditions (0.06 log-years/medication, SE 0.03), history of physical abuse (0.75 log-years, SE 0.27), and more seizure types (0.36 log-years/type, SE 0.11). Factors associated with shorter delay included active employment or student status (-1.05 log-years, SE 0.21) and higher seizure frequency (0.14 log-years/log[seizure/month], SE 0.06). CONCLUSIONS: Patients with greater medical and seizure complexity had longer delays. Delays in multiple domains of healthcare can be common for victims of physical abuse. Unemployed and non-student patients may have had more barriers to access VEM. These results support earlier referral of complex cases to a comprehensive epilepsy center.


Subject(s)
Electroencephalography , Quality of Life , Seizures , Adult , Child , Humans , Prospective Studies , Retrospective Studies , Seizures/diagnosis
4.
Seizure ; 86: 116-122, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33601302

ABSTRACT

PURPOSE: Video-electroencephalographic monitoring (VEM) is a core component to the diagnosis and evaluation of epilepsy and dissociative seizures (DS)-also known as functional or psychogenic seizures-but VEM evaluation often occurs later than recommended. To understand why delays occur, we compared how patient-reported clinical factors were associated with time from first seizure to VEM (TVEM) in patients with epilepsy, DS or mixed. METHODS: We acquired data from 1245 consecutive patients with epilepsy, VEM-documented DS or mixed epilepsy and DS. We used multivariate log-normal regression with recursive feature elimination (RFE) to evaluate which of 76 clinical factors interacting with patients' diagnoses were associated with TVEM. RESULTS: The mean and median TVEM were 14.6 years and 10 years, respectively (IQR 3-23 years). In the multivariate RFE model, the factors associated with longer TVEM in all patients included unemployment and not student status, more antiseizure medications (current and past), concussion, and ictal behavior suggestive of temporal lobe epilepsy. Average TVEM was shorter for DS than epilepsy, particularly for patients with depression, anxiety, migraines, and eye closure. Average TVEM was longer specifically for patients with DS taking more medications, more seizure types, non-metastatic cancer, and with other psychiatric comorbidities. CONCLUSIONS: In all patients with seizures, trials of numerous antiseizure medications, unemployment and non-student status was associated with longer TVEM. These associations highlight a disconnect between International League Against Epilepsy practice parameters and observed referral patterns in epilepsy. In patients with dissociative seizures, some but not all factors classically associated with DS reduced TVEM.


Subject(s)
Conversion Disorder , Epilepsy , Electroencephalography , Humans , Retrospective Studies , Seizures/complications , Seizures/diagnosis , Seizures/epidemiology
5.
Epilepsy Behav ; 113: 107525, 2020 12.
Article in English | MEDLINE | ID: mdl-33197798

ABSTRACT

OBJECTIVE: To develop a Dissociative Seizures Likelihood Score (DSLS), which is a comprehensive, evidence-based tool using information available during the first outpatient visit to identify patients with "probable" dissociative seizures (DS) to allow early triage to more extensive diagnostic assessment. METHODS: Based on data from 1616 patients with video-electroencephalography (vEEG) confirmed diagnoses, we compared the clinical history from a single neurology interview of patients in five mutually exclusive groups: epileptic seizures (ES), DS, physiologic nonepileptic seizure-like events (PSLE), mixed DS plus ES, and inconclusive monitoring. We used data-driven methods to determine the diagnostic utility of 76 features from retrospective chart review and applied this model to prospective interviews. RESULTS: The DSLS using recursive feature elimination (RFE) correctly identified 77% (95% confidence interval (CI), 74-80%) of prospective patients with either ES or DS, with a sensitivity of 74% and specificity of 84%. This accuracy was not significantly inferior than neurologists' impression (84%, 95% CI: 80-88%) and the kappa between neurologists' and the DSLS was 21% (95% CI: 1-41%). Only 3% of patients with DS were missed by both the fellows and our score (95% CI 0-11%). SIGNIFICANCE: The evidence-based DSLS establishes one method to reliably identify some patients with probable DS using clinical history. The DSLS supports and does not replace clinical decision making. While not all patients with DS can be identified by clinical history alone, these methods combined with clinical judgement could be used to identify patients who warrant further diagnostic assessment at a comprehensive epilepsy center.


Subject(s)
Conversion Disorder , Seizures , Dissociative Disorders , Electroencephalography , Humans , Prospective Studies , Retrospective Studies , Seizures/diagnosis
6.
AIDS Care ; 32(4): 452-461, 2020 04.
Article in English | MEDLINE | ID: mdl-31640396

ABSTRACT

In the era of widespread antiretroviral therapy (ART), consequences of being HIV-exposed is unclear for children, especially in rural communities. A population sample of consecutive births (470/493) in the Eastern Cape of South Africa (SA) were recruited and reassessed at five points over the first 24 months. Maternal and child outcomes between mothers living with and without HIV were assessed using multiple linear and logistic regressions. At birth, 28% of the sample was mothers living with HIV and five additional mothers seroconverted. All mothers living with HIV reported taking ART. The rate of depressed mood and IPV was similar across serostatus. However, mothers living with HIV significantly decreased their alcohol use after learning about their pregnancy and were more likely to exclusively breastfeed when compared to mothers without HIV. Despite maternal HIV status, children had similar growth across the first 24 months of life. Future work is needed to assess if these developmental trajectories will persist.


Subject(s)
Anti-HIV Agents/therapeutic use , Breast Feeding/statistics & numerical data , Child Health , HIV Infections/drug therapy , Maternal Health , Mothers/statistics & numerical data , Rural Population/statistics & numerical data , Child , Female , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Mental Health , Outcome Assessment, Health Care , Pregnancy , South Africa/epidemiology , Young Adult
7.
AIDS Patient Care STDS ; 33(11): 466-472, 2019 11.
Article in English | MEDLINE | ID: mdl-31682167

ABSTRACT

The delivery of high-quality HIV care in rural settings is a global challenge. Despite the successful expansion of antiretroviral therapy (ART) in Africa, viral load (VL) monitoring and ART adherence are poor, especially in rural communities. This article describes a case study of an ART program in the deeply rural Eastern Cape of South Africa. The Zithulele ART Program initiated five innovations over time: (1) establishing district hospital as the logistical hub for all ART care in a rural district, (2) primary care clinic delivery of prepackaged ART and chronic medications for people living with HIV (PLH), (3) establishing central record keeping, (4) incentivizing VL monitoring, and (5) providing hospital-based outpatient care for complex cases. Using a pharmacy database, on-time VL monitoring and viral suppression were evaluated for 882 PLH initiating ART in the Zithulele catchment area in 2013. Among PLH initiating ART, 12.5% (n = 110) were lost to follow-up, 7.7% (n = 68) transferred out of the region, 10.2% (n = 90) left the program and came back at a later date, and 4.0% (n = 35) died. Of the on-treatment population, 82.9% (n = 480/579) had VL testing within 7 months and 92.6% (n = 536/579) by 1 year. Viral suppression was achieved in 85.2% of those tested (n = 457/536), or 78.9% (n = 457/579) overall. The program's VL testing and suppression rates appear about twice as high as national data and data from other rural centers in South Africa, despite fewer resources than other programs. Simple system innovations can ensure high rates of VL testing and suppression, even in rural health facilities.


Subject(s)
Anti-HIV Agents/therapeutic use , Antiretroviral Therapy, Highly Active , Delivery of Health Care/organization & administration , HIV Infections/drug therapy , Rural Health Services/statistics & numerical data , Rural Population , Adult , Ambulatory Care Facilities , Community Health Centers , Female , HIV Infections/virology , HIV Seropositivity/drug therapy , Humans , Male , Program Evaluation , South Africa/epidemiology , Treatment Outcome , Viral Load
8.
Seizure ; 67: 45-51, 2019 Apr.
Article in English | MEDLINE | ID: mdl-30884437

ABSTRACT

PURPOSE: Differentiating psychogenic non-epileptic seizures (PNES) from epileptic seizures (ES) can be difficult, even when expert clinicians have video recordings of seizures. Moreover, witnesses who are not trained observers may provide descriptions that differ from the expert clinicians', which often raises concern about whether the patient has both ES and PNES. As such, quantitative, evidence-based tools to help differentiate ES from PNES based on patients' and witnesses' descriptions of seizures may assist in the early, accurate diagnosis of patients. METHODS: Based on patient- and observer-reported data from 1372 patients with diagnoses documented by video-elect roencephalography (vEEG), we used logistic regression (LR) to compare specific peri-ictal behaviors and seizure triggers in five mutually exclusive groups: ES, PNES, physiologic non-epileptic seizure-like events, mixed PNES plus ES, and inconclusive monitoring. To differentiate PNES-only from ES-only, we retrospectively trained multivariate LR and a forest of decision trees (DF) to predict the documented diagnoses of 246 prospective patients. RESULTS: The areas under the receiver operating characteristic curve (AUCs) of the DF and LR were 75% and 74%, respectively (empiric 95% CI of chance 37-62%). The overall accuracy was not significantly higher than the naïve assumption that all patients have ES (accuracy DF 71%, LR 70%, naïve 68%, p > 0.05). CONCLUSIONS: Quantitative analysis of patient- and observer-reported peri-ictal behaviors objectively changed the likelihood that a patient's seizures were psychogenic, but these reports were not reliable enough to be diagnostic in isolation. Instead, our scores may identify patients with "probable" PNES that, in the right clinical context, may warrant further diagnostic assessment.


Subject(s)
Seizures/diagnosis , Seizures/physiopathology , Somatoform Disorders/diagnosis , Somatoform Disorders/physiopathology , Area Under Curve , Brain/physiopathology , Decision Trees , Diagnosis, Computer-Assisted , Diagnosis, Differential , Dissociative Disorders/diagnosis , Dissociative Disorders/physiopathology , Electroencephalography , Female , Humans , Machine Learning , Male , Prospective Studies , ROC Curve , Retrospective Studies , Seizures/etiology , Self Report , Video Recording
9.
Epilepsy Behav ; 80: 75-83, 2018 03.
Article in English | MEDLINE | ID: mdl-29414562

ABSTRACT

OBJECTIVE: Psychogenic nonepileptic seizure (PNES) is a common diagnosis after evaluation of medication resistant or atypical seizures with video-electroencephalographic monitoring (VEM), but usually follows a long delay after the development of seizures, during which patients are treated for epilepsy. Therefore, more readily available diagnostic tools are needed for earlier identification of patients at risk for PNES. A tool based on patient-reported psychosocial history would be especially beneficial because it could be implemented in the outpatient clinic. METHODS: Based on the data from 1375 patients with VEM-confirmed diagnoses, we used logistic regression to compare the frequency of specific patient-reported historical events, demographic information, age of onset, and delay from first seizure until VEM in five mutually exclusive groups of patients: epileptic seizures (ES), PNES, physiologic nonepileptic seizure-like events (PSLE), mixed PNES plus ES, and inconclusive monitoring. To determine the diagnostic utility of this information to differentiate PNES only from ES only, we used multivariate piecewise-linear logistic regression trained using retrospective data from chart review and validated based on data from 246 prospective standardized interviews. RESULTS: The prospective area under the curve of our weighted multivariate piecewise-linear by-sex score was 73%, with the threshold that maximized overall retrospective accuracy resulting in a prospective sensitivity of 74% (95% CI: 70-79%) and prospective specificity of 71% (95% CI: 64-82%). The linear model and piecewise linear without an interaction term for sex had very similar performance statistics. In the multivariate piecewise-linear sex-split predictive model, the significant factors positively associated with ES were history of febrile seizures, current employment or active student status, history of traumatic brain injury (TBI), and longer delay from first seizure until VEM. The significant factors associated with PNES were female sex, older age of onset, mild TBI, and significant stressful events with sexual abuse, in particular, increasing the likelihood of PNES. Delays longer than 20years, age of onset after 31years for men, and age of onset after 40years for women had no additional effect on the likelihood of PNES. DISCUSSION: Our promising results suggest that an objective score has the potential to serve as an early outpatient screening tool to identify patients with greater likelihood of PNES when considered in combination with other factors. In addition, our analysis suggests that sexual abuse, more than other psychological stressors including physical abuse, is more associated with PNES. There was a trend of increasing frequency of PNES for women during childbearing years and plateauing outside those years that was not observed in men.


Subject(s)
Dissociative Disorders/diagnosis , Epilepsy/diagnosis , Seizures/diagnosis , Somatoform Disorders/diagnosis , Adult , Age of Onset , Dissociative Disorders/psychology , Electroencephalography/methods , Epilepsy/physiopathology , Epilepsy/psychology , Female , Humans , Male , Middle Aged , Monitoring, Physiologic , Prospective Studies , Retrospective Studies , Seizures/physiopathology , Seizures/psychology , Seizures, Febrile , Somatoform Disorders/psychology , Video Recording , Young Adult
10.
AIDS Behav ; 21(Suppl 2): 174-182, 2017 Nov.
Article in English | MEDLINE | ID: mdl-29027039

ABSTRACT

Alcohol is a major contributor to the global burden of disease. In South Africa, alcohol abuse is hypothesized to correlate with women's HIV status, mental health, and partner relationships over time. All pregnant women in 12 urban, low-income, Cape Town neighborhoods were interviewed at baseline, post-birth, and at 6, 12, 36, and 60 months following delivery with retention rates from 82.5 to 94%. Women were assessed for any alcohol use, problematic drinking, depression, intimate partner violence, and HIV status. Prior to pregnancy discovery and 5 years after giving birth, alcohol use was 25.8 and 24.7%, respectively. Most women decreased their alcohol use during pregnancy. Twenty-one percent reported alcohol use on two or more assessments, and only 15% of the mothers drinking alcohol at 5 years were also drinking at baseline. Mothers with depression had a higher likelihood of drinking alcohol compared to mothers who were not depressed only at baseline and 6 months post-birth. Mothers who experienced IPV had more than twice the likelihood of drinking alcohol compared to non-IPV mothers at all assessments. HIV positive mothers were more likely to drink alcohol compared to mothers without HIV prior to pregnancy discovery and at 5 years post-birth. These longitudinal trends in alcohol use among young women in South Africa represent a large economic, social, and health burden and must be addressed in a comprehensive manner.


Subject(s)
Alcohol Drinking/epidemiology , Alcoholism/psychology , Depression/epidemiology , HIV Infections/epidemiology , Intimate Partner Violence , Mothers/psychology , Spouse Abuse/psychology , Adult , Alcohol Drinking/psychology , Alcoholism/ethnology , Female , HIV Infections/psychology , Humans , Longitudinal Studies , Maternal Health , Mental Health , Poverty , Pregnancy , Quality of Life , Sexual Partners , Social Environment , South Africa/epidemiology , Young Adult
11.
Epilepsia ; 58(11): 1852-1860, 2017 11.
Article in English | MEDLINE | ID: mdl-28895657

ABSTRACT

OBJECTIVE: Low-cost evidence-based tools are needed to facilitate the early identification of patients with possible psychogenic nonepileptic seizures (PNES). Prior to accurate diagnosis, patients with PNES do not receive interventions that address the cause of their seizures and therefore incur high medical costs and disability due to an uncontrolled seizure disorder. Both seizures and comorbidities may contribute to this high cost. METHODS: Based on data from 1,365 adult patients with video-electroencephalography-confirmed diagnoses from a single center, we used logistic and Poisson regression to compare the total number of comorbidities, number of medications, and presence of specific comorbidities in five mutually exclusive groups of diagnoses: epileptic seizures (ES) only, PNES only, mixed PNES and ES, physiologic nonepileptic seizurelike events, and inconclusive monitoring. To determine the diagnostic utility of comorbid diagnoses and medication history to differentiate PNES only from ES only, we used multivariate logistic regression, controlling for sex and age, trained using a retrospective database and validated using a prospective database. RESULTS: Our model differentiated PNES only from ES only with a prospective accuracy of 78% (95% confidence interval =72-84%) and area under the curve of 79%. With a few exceptions, the number of comorbidities and medications was more predictive than a specific comorbidity. Comorbidities associated with PNES were asthma, chronic pain, and migraines (p < 0.01). Comorbidities associated with ES were diabetes mellitus and nonmetastatic neoplasm (p < 0.01). The population-level analysis suggested that patients with mixed PNES and ES may be a population distinct from patients with either condition alone. SIGNIFICANCE: An accurate patient-reported medical history and medication history can be useful when screening for possible PNES. Our prospectively validated and objective score may assist in the interpretation of the medication and medical history in the context of the seizure description and history.


Subject(s)
Medication Reconciliation/methods , Seizures/diagnosis , Seizures/drug therapy , Somatoform Disorders/diagnosis , Somatoform Disorders/drug therapy , Adult , Comorbidity , Electroencephalography/methods , Female , Humans , Male , Middle Aged , Prospective Studies , Retrospective Studies , Seizures/psychology , Somatoform Disorders/psychology , Video Recording/methods
12.
Epilepsy Behav ; 69: 69-74, 2017 04.
Article in English | MEDLINE | ID: mdl-28236725

ABSTRACT

OBJECTIVE: Early and accurate diagnosis of patients with psychogenic nonepileptic seizures (PNES) leads to appropriate treatment and improves long-term seizure prognosis. However, this is complicated by the need to record seizures to make a definitive diagnosis. Suspicion for PNES can be raised through knowledge that patients with PNES have increased somatic sensitivity and report more positive complaints on review-of-systems questionnaires (RoSQs) than patients with epileptic seizures. If the responses on the RoSQ can differentiate PNES from other seizure types, then these forms could be an early screening tool. METHODS: Our dataset included all patients admitted from January 2006 to June 2016 for video-electroencephalography at UCLA. RoSQs prior to May 2015 were acquired through retrospective chart review (n=405), whereas RoSQs from subsequent patients were acquired prospectively (n=190). Controlling for sex and number of comorbidities, we used binomial regression to compare the total number of symptoms and the frequency of specific symptoms between five mutually exclusive groups of patients: epileptic seizures (ES), PNES, physiologic nonepileptic seizure-like events (PSLE), mixed PNES plus ES, and inconclusive monitoring. To determine the diagnostic utility of RoSQs to differentiate PNES only from ES only, we used multivariate logistic regression, controlling for sex and the number of medical comorbidities. RESULTS: On average, patients with PNES or mixed PNES and ES reported more than twice as many symptoms than patients with isolated ES or PSLE (p<0.001). The prospective accuracy to differentiate PNES from ES was not significantly higher than naïve assumption that all patients had ES (76% vs 70%, p>0.1). DISCUSSION: This analysis of RoSQs confirms that patients with PNES with and without comorbid ES report more symptoms on a population level than patients with epilepsy or PSLE. While these differences help describe the population of patients with PNES, the consistency of RoSQ responses was neither accurate nor specific enough to be used solely as an early screening tool for PNES. Our results suggest that the RoSQ may help differentiate PNES from ES only when, based on other information, the pre-test probability of PNES is at least 50%.


Subject(s)
Epilepsy/diagnosis , Seizures/diagnosis , Somatoform Disorders/diagnosis , Surveys and Questionnaires , Adult , Comorbidity , Diagnosis, Differential , Electroencephalography/methods , Epilepsy/physiopathology , Epilepsy/psychology , Female , Humans , Male , Prognosis , Prospective Studies , Retrospective Studies , Seizures/physiopathology , Seizures/psychology , Somatoform Disorders/physiopathology , Somatoform Disorders/psychology
13.
Article in English | MEDLINE | ID: mdl-25311448

ABSTRACT

The definitive diagnosis of the type of epilepsy, if it exists, in medication-resistant seizure disorder is based on the efficient combination of clinical information, long-term video-electroencephalography (EEG) and neuroimaging. Diagnoses are reached by a consensus panel that combines these diverse modalities using clinical wisdom and experience. Here we compare two methods of multimodal computer-aided diagnosis, vector concatenation (VC) and conditional dependence (CD), using clinical archive data from 645 patients with medication-resistant seizure disorder, confirmed by video-EEG. CD models the clinical decision process, whereas VC allows for statistical modeling of cross-modality interactions. Due to the nature of clinical data, not all information was available in all patients. To overcome this, we multiply-imputed the missing data. Using a C4.5 decision tree, single modality classifiers achieved 53.1%, 51.5% and 51.1% average accuracy for MRI, clinical information and FDG-PET, respectively, for the discrimination between non-epileptic seizures, temporal lobe epilepsy, other focal epilepsies and generalized-onset epilepsy (vs. chance, p<0.01). Using VC, the average accuracy was significantly lower (39.2%). In contrast, the CD classifier that classified with MRI then clinical information achieved an average accuracy of 58.7% (vs. VC, p<0.01). The decrease in accuracy of VC compared to the MRI classifier illustrates how the addition of more informative features does not improve performance monotonically. The superiority of conditional dependence over vector concatenation suggests that the structure imposed by conditional dependence improved our ability to model the underlying diagnostic trends in the multimodality data.

14.
Mol Genet Metab ; 88(3): 261-71, 2006 Jul.
Article in English | MEDLINE | ID: mdl-16466956

ABSTRACT

Cytomegalic adrenal hypoplasia congenita (AHC) is an X-linked disease caused by mutations in DAX1-encoding gene NR0B1, previously thought to function primarily in steroidogenesis. We sought to determine the expression pattern for Dax1 along with known network partners in early embryogenesis and to determine a steroidogenic capacity for the embryo prior to the establishment of the urogenital ridge at embryonic day 9 (E9). Here, we report that murine Dax1 is a unique marker in early embryonic development, distinguishing the extraembryonic (proximal) endoderm from the remainder of the developing embryo. We showed that Wilms tumor 1, steroidogenic factor 1, and estrogen receptor beta were expressed throughout the embryo, but the progesterone, estrogen alpha and androgen receptors, cytochrome P450 (Cyp11a1) and Nur77 were not observed in any of the embryonic layers. Lack of Cyp11A1 expression at this stage confirmed an absence of inherent steroidogenic capacity for the early embryo. The role of Nr0b1 in embryonic stem (ES) cells was investigated using siRNA knockdown, resulting in differentiation toward endoderm-like fate. Nr0b1 conditional knockout in ES cells led to differentiation, confirming our knockdown results. Our investigations suggest that Nr0b1 functions in a novel role in the maintenance of a relatively undifferentiated state. Our results further suggest that the failure of conventional murine Nr0b1 knockout attempts may be due to disregulated differentiation.


Subject(s)
DNA-Binding Proteins/physiology , Embryonic Development , Estrogen Receptor beta/biosynthesis , Gonadal Steroid Hormones/biosynthesis , Homeodomain Proteins/biosynthesis , Receptors, Cytoplasmic and Nuclear/biosynthesis , Transcription Factors/biosynthesis , Animals , Cell Differentiation , Cells, Cultured , Cholesterol Side-Chain Cleavage Enzyme/metabolism , DAX-1 Orphan Nuclear Receptor , DNA-Binding Proteins/biosynthesis , Embryo, Mammalian/metabolism , Genes, Wilms Tumor/physiology , Mice , Mice, Inbred C57BL , Nuclear Receptor Subfamily 4, Group A, Member 1 , Receptors, Steroid/biosynthesis , Stem Cells/cytology , Stem Cells/metabolism , Steroidogenic Factor 1
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