Treatment implications of a positive sentinel lymph node biopsy for patients with early-stage breast carcinoma

BACKGROUND. Sentinel lymph node (SLN) mapping and biopsy is emerging as an alternative to axillary lymph node dissection (ALND) in determining the lymph node status of patients with early-stage breast carcinoma. The hypothesis of the technique is that the SLN is the first lymph node in the regional lymphatic basin that drains the primary tumor. Non-SLN (NSLN) metastasis in the axilla is unlikely if the axillary SLN shows no tumor involvement, and, thus, further axillary interference may be avoided. However, the optimal treatment of the axilla in which an SLN metastasis is found requires ongoing evaluation. The objectives of this study were to evaluate the predictors for NSLN metastasis in the presence of a tumor-involved axillary SLN and to examine the treatment implications for patients with early-stage breast carcinoma. METHODS. Between June 1998 and May 2000, 167 patients participated in the pilot study of SLN mapping and biopsy at Westmead Hospital. SLNs were identified successfully and biopsied in 140 axillae. All study patients also underwent ALND. The incidence of NSLN metastasis in the 51 patients with a SLN metastasis was correlated with clinical and pathologic characteristics. RESULTS. Of 51 patients with a positive SLN, 24 patients (47%) had NSLN metastases. The primary tumor size was the only significant predictor for NSLN involvement. NSLN metastasis occurred in 25% of patients (95% confidence interval [95%CI], 10-47%) with a primary tumor size less than or equal to 20 mm and in 67% of patients (95%CI, 46-83%) with a primary tumor size > 20 mm (P = 0.005). The size of the SLN metastasis was not associated significantly with NSLN involvement. Three of 7 patients (43%) with an SLN micrometastasis (< 1 mm) had NSLN involvement compared with 38 of 44 patients (48%) with an SLN macrometastasis (greater than or equal to 1 mm). CONCLUSIONS. The current study did not identify a subgroup of SLN positive patients in whom the incidence of NSLN involvement was low enough to warrant no further axillary interference. At present, a full axillary dissection should be performed in patients with a positive SLN. (C) 2001 American Cancer Society.

Suicidal ideation and suicide attempts as predictors of mental health service use

Objective: To examine the extent to which suicidal ideation and suicide attempts are predictive of service use. Design and setting: The National Survey of Mental Health and Wellbeing considered service utilisation in relation to self-reported mental health problems. Service utilisation was inquired of in relation to hospital-based care (including both specialist mental health and general care settings), as well as consultations with a range of health professionals (both specialist and non-specialist mental health professionals, including psychiatrists, psychologists and general practitioners) on an outpatient basis. Participants: Secondary analysis of self-report data from 10 641 randomly selected Australian adults who participated in the National Survey of Mental Health and Wellbeing in 1997. The key predictor variables were reported suicidal ideation and suicide attempts over the past 12 months. Main outcome measures: Use of services for mental health problems (past 12 months). Results: When considered in isolation, individuals reporting suicidal ideation were more likely to make use of at least one type of service for mental health problems than non-suicidal individuals (OR, 17.3; 95% Cl, 13.2-22.6), and individuals reporting suicide attempts were even more likely to do so (OR, 32.3; 95% CI, 9.0-115.4). In the case of suicidal ideation, this effect remained significant after controlling for a range of potential confounders. For suicide attempts, the effect of mental health service use was no longer significant after other variables were taken into account. Conclusions: Suicidal individuals are likely to make use of services, and a high proportion of suicides may be preventable through appropriate healthcare system responses.

Clinical and molecular genetics of myoclonic-astatic epilepsy and severe myoclonic epilepsy in infancy (Dravet syndrome)

The majority of severe epileptic encephalopathies of early childhood are symptomatic where a clear etiology is apparent. There is a small subgroup, however, where no etiology is found on imaging and metabolic studies, and genetic factors are important. Myoclonic-astatic epilepsy (MAE) and severe myoclonic epilepsy in infancy (SMEI), also known as Dravet syndrome, are epileptic encephalopathies where multiple seizure types begin in the first few years of life associated with developmental slowing. Clinical and molecular genetic studies of the families of probands with MAE and SMEI suggest a genetic basis. MAE was originally identified as part of the genetic epilepsy syndrome generalized epilepsy with febrile seizures plus (GEFS(+)). Recent clinical genetic studies suggest that SMEI forms the most severe end of the spectrum of the GEFS(+). GEF(+) has now been associated with molecular defects in three sodium channel subunit genes and a GABA subunit gene. Molecular defects of these genes have been identified in patients with MAE and SMEI. Interestingly, the molecular defects in MAE have been found in the setting of large GEFS(+) pedigrees, whereas, more severe truncation mutations arising de novo have been identified in patients with SMEI. It is likely that future molecular studies will shed light on the interaction of a number of genes, possibly related to the same or different ion channels, which result in a severe phenotype such as MAE and SMEI. (C) 2001 Elsevier Science B.V. All rights reserved.

Long-term disability after first-ever stroke and related prognostic factors in the Perth Community Stroke Study, 1989-1990

Background and Purpose-Few reliable estimates of the long-term functional outcome after stroke are available. This population-based study aimed to describe disability, dependency, and related independent prognostic factors at 5 years after,a first-ever stroke in patients in Perth, Western Australia. Methods-All individuals with a suspected acute stroke who were resident in a geographically defined region (population, 138 708) of Perth, Western Australia, were registered prospectively and assessed according to standardized diagnostic criteria over a period of 18 months in 1989 to 1990. Patients were followed up prospectively at 4 and 12 months and 5 years after the index event. Results-There were 370 cases of first-ever stroke, and 277 patients survived to 30 days. Of these early survivors, 152 (55%) were alive at 5 years, and among those who were neither institutionalized (n=146) nor disabled (n=129) at the time of their stroke, 21 (14%) were institutionalized in a nursing home, and 47 (36%) were disabled. The most important predictors of death or disability at 5 years were increasing age, baseline disability defined by a Barthel Index score of <20/20 (odds ratio [OR], 6.3; 95% confidence interval [CI], 2.7 to 14), moderate hemiparesis (OR, 2.7. 95% CI, 1.1 to 6.2), severe hemiparesis (OR, 4.5; 95% CI, 1.1 to 19), and recurrent stroke (OR, 9.4; 95% CI, 3.0 to 30). A low level of activity before the stroke was a significant predictor of institutionalization, and subsequent recurrent stroke was a consistent, independent predictor of institutionalization, disability, and death or institutionalization, increasing the odds of each of these 3 adverse outcomes by 5- to 15-fold. Conclusions-Among 30-day survivors of first-ever stroke, about half survive 5 years; of survivors, one third remain disabled, and I in 7 are in permanent institutional care. The major modifiable predictors of poor long-term outcome are a low level of activity before the stroke and subsequent recurrent stroke. Efforts to increase physical activity among the elderly and to prevent recurrent stroke in survivors of a first stroke are likely to reduce the long-term burden of cerebrovascular disease.

Methods for prediction of peptide binding to MHC molecules: A comparative study

Background: A variety of methods for prediction of peptide binding to major histocompatibility complex (MHC) have been proposed. These methods are based on binding motifs, binding matrices, hidden Markov models (HMM), or artificial neural networks (ANN). There has been little prior work on the comparative analysis of these methods. Materials and Methods: We performed a comparison of the performance of six methods applied to the prediction of two human MHC class I molecules, including binding matrices and motifs, ANNs, and HMMs. Results: The selection of the optimal prediction method depends on the amount of available data (the number of peptides of known binding affinity to the MHC molecule of interest), the biases in the data set and the intended purpose of the prediction (screening of a single protein versus mass screening). When little or no peptide data are available, binding motifs are the most useful alternative to random guessing or use of a complete overlapping set of peptides for selection of candidate binders. As the number of known peptide binders increases, binding matrices and HMM become more useful predictors. ANN and HMM are the predictive methods of choice for MHC alleles with more than 100 known binding peptides. Conclusion: The ability of bioinformatic methods to reliably predict MHC binding peptides, and thereby potential T-cell epitopes, has major implications for clinical immunology, particularly in the area of vaccine design.

Outcome research in psychodynamic psychotherapy: Psychological, social and neuropsychological factors

While many studies have demonstrated positive outcomes from psychotherapy when it is practiced in a controlled research environment with carefully selected (or excluded) patient groups and rigid manualised therapy sessions there is a paucity of research regarding effective outcomes from psychotherapy as it is practiced in actual clinical conditions. The aim of this series of studies was to investigate outcomes, using an effectiveness approach, from psychodynamic psychotherapy as it is practiced by private psychiatrists. Three studies were planned. The aim of Study 1 was to provide standardized baseline measures on the following dimensions • Personal Demographic Information (PDI), • Target Symptoms and Disorders (TSD) including a neuropsychological profile • Inter and Intra Personal (IIP) factors, and, • General Functioning and Quality of Life (GFQoL) factors. Study 2 aimed to examine changes in patient characteristics during the course of treatment. Thus, baseline assessments were repeated at sixmonthly intervals to determine if therapy had been effective for individual patients. A third study was planned to assess the extent to which the results of significant outcome predictors could be replicated in different patient samples. Twenty-nine psychiatrists consented to refer patients with 20 patients having completed pre therapy assessments and six and 18-month follow-up questionnaires. The presentation of this research will focus on the interesting research methodology utilized, patient demographic characteristics and on the patient changes occurring over time on the dimensions of Defence Style (DSQ), Quality of Life (WHOQOL- Bref) and the severity of depression (BDI). The patient sample included 10 male and 10 female patients, whose ages ranged from 19 years to 66 years (mean = 43 years). While seven of the patients did not meet SCID-IV criteria for a current DSM-IV Axis 1 disorder, six patients met criteria for a current mood disorder, three for panic disorder, one patient each for PTSD, alcohol abuse and dependence, and 2 patients met current criteria for multiple Axis 1 disorders. The research is ongoing.

Predicting energy requirements in the clinical setting: Are current methods evidence based?

Estimating energy requirements is necessary in clinical practice when indirect calorimetry is impractical. This paper systematically reviews current methods for estimating energy requirements. Conclusions include: there is discrepancy between the characteristics of populations upon which predictive equations are based and current populations; tools are not well understood, and patient care can be compromised by inappropriate application of the tools. Data comparing tools and methods are presented and issues for practitioners are discussed. (C) 2003 International Life Sciences Institute.