Goblet cell carcinoid tumors (adenocarcinoid) of the appendix

Purpose: Goblet cell appendiceal carcinoids represent rare tumors that exhibit histologic features of both adenocarcinomas and neuroendocrine tumors. We present the long-term results of a series of 15 patients, focusing on clinical manifestations, diagnosis, and management.

Methods: Eight male and seven female patients (median age, 52.8 years) were included. Final diagnosis was confirmed by histology. Patients were evaluated clinically, biochemically, and radiologically every four months. Median follow-up was 30 months.

Results: The majority of patients (7/15) presented with symptoms compatible with acute appendicitis. Right hemicolectomy was performed in all except one, who subsequently developed metastases. Three patients had metastases at previous diagnosis. Plasma chromogranin-A was slightly elevated in two of them, while urinary 5-hydroxy-indol-acetic acid was normal. 111Indium-labeled octreotide scintigraphy was positive only in two of the four patients with metastases. Ki67 index was greater than 20 percent in all of them, while in only one with local tumor. Combination chemotherapy with either cisplatin plus etoposide or with 5-fluorouracil, cisplatin, and streptozotocin was administered to all patients with metastases resulting in temporary stabilization of disease. Twelve patients are alive, while three died of their disease 9, 13, and 14 months after diagnosis.

Conclusions: The diagnostic value of chromogranin-A, urinary 5-hydroxy-indol-acetic acid, and 111Indium-labeled octreotide scintigraphy seems to be limited in these tumors. Ki67 index appears to predict tumor behavior. Right hemicolectomy may reduce the risk of developing metastases. Chemotherapy may have efficacy in metastatic disease, however, more data are required to determine this and the optimal regimen.

Laboratory features of common causes of fever in returned travelers

There can be considerable overlap in the clinical presentation and laboratory features of dengue, malaria, and enteric fever, three important causes of fever in returned travelers. Routine laboratory tests including full blood examination (FBE), liver function tests (LFTs), and C-reactive protein (CRP) are frequently ordered on febrile patients, and may help differentiate between these possible diagnoses.

A boarding school outbreak of pertussis in adolescents : value of laboratory diagnostic methods

Culture for Bordetella pertussis (B. pertussis) is the traditional gold standard for laboratory diagnosis of pertussis but is insensitive, especially later in the course of illness and in vaccinated persons. Interpretation of serology is limited by the lack of an appropriate reference standard. An outbreak of pertussis in a crowded boarding-school dormitory allowed evaluation of laboratory correlates of infection. Questionnaires, serum samples and throat swabs were collected from members of the exposed group. Serum samples from unexposed controls of a similar age group were used for comparison. B. pertussis PCR was performed on throat swabs, and sera were tested for IgA antibodies against whole-cell (WC) B. pertussis antigen and IgG antibodies to pertussis toxin (PT). The Centers for Disease Control and Prevention definition for pertussis was used to define clinical cases. We evaluated the use of a previously published cut-off for PT IgG of 125 EIA units (EU)/ml. Completed questionnaires were obtained from 115 students, of whom 85 (74%) reported coughing symptoms, including 32 (28%) who met the clinical case definition for pertussis. B. pertussis was detected by PCR in 17 (15%) and WC IgA in 22 (19%) students; neither correlated with symptoms, but dormitory of residence strongly predicted PCR status. The mean PT IgG geometric mean concentration, in this situation of high pertussis exposure, correlated with severity of symptoms and was significantly higher in both symptomatic and asymptomatic children exposed during the outbreak (P<0·001) than in control children. A cut-off for PT IgG of 125 EU/ml was too high in an outbreak situation to be sensitive enough to identify pertussis cases. A case of pertussis in a crowded boarding-school dormitory resulted rapidly in an outbreak. Serology and PCR were useful in identifying the outbreak and commencing disease control measures. The use of serology has mostly been evaluated in community serosurveys, where it is not possible to determine if immunity reflects vaccination, asymptomatic disease or symptomatic disease. This outbreak gave us the opportunity to evaluate the value of serology and PCR in the presence of confirmed exposure to pertussis.

Convergent interviewing : a qualitative diagnostic technique for researchers

Purpose – This paper aims to widen knowledge of and explore how convergent interviewing can be used to identify key issues within an organization.
Design/methodology/approach – This paper introduces the convergent interviewing technique and describes the method of selecting the interview subjects. The construction of a round of interviews is explained. The content of the interviews is described and the particular probing nature of the questions demanded by the convergent interview process is explained. The ways to analyze the full set of interviews for groupings or categories is also described. The case study example of a broad research question about influences on work behaviors in a local government council is used to illustrate the convergent interviewing technique.
Findings – The key issues revealed by using the technique can be subsequently used for a variety of research and consulting purposes and settings. Convergent interviewing is an effective research method, which conserves resources.
Originality/value – Convergent interviewing enables researchers to determine the most important and/or key issues within a population rather than a full list of issues in an organization or barriers to change in a particular organizational context.

Robust-diagnostic regression : a prelude for inducing reliable knowledge from regression

Regression lies heart in statistics, it is the one of the most important branch of multivariate techniques available for extracting knowledge in almost every field of study and research. Nowadays, it has drawn a huge interest to perform the tasks with different fields like machine learning, pattern recognition and data mining. Investigating outlier (exceptional) is a century long problem to the data analyst and researchers. Blind application of data could have dangerous consequences and leading to discovery of meaningless patterns and carrying to the imperfect knowledge. As a result of digital revolution and the growth of the Internet and Intranet data continues to be accumulated at an exponential rate and thereby importance of detecting outliers and study their costs and benefits as a tool for reliable knowledge discovery claims perfect attention. Investigating outliers in regression has been paid great value for the last few decades within two frames of thoughts in the name of robust regression and regression diagnostics. Robust regression first wants to fit a regression to the majority of the data and then to discover outliers as those points that possess large residuals from the robust output whereas in regression diagnostics one first finds the outliers, delete/correct them and then fit the regular data by classical (usual) methods. At the beginning there seems to be much confusion but now the researchers reach to the consensus, robustness and diagnostics are two complementary approaches to the analysis of data and any one is not good enough. In this chapter, we discuss both of them under the unique spectrum of regression diagnostics. Chapter expresses the necessity and views of regression diagnostics as well as presents several contemporary methods through numerical examples in linear regression within each aforesaid category together with current challenges and possible future research directions. Our aim is to make the chapter self-explained maintaining its general accessibility.

The value of impulsivity to define subgroups of addicted individuals differing in personality dysfunction, craving, psychosocial adjustment, and wellbeing: A latent class analysis

High impulsivity is common to substance and gambling addictions. Despite these commonalities, there is still substantial heterogeneity on impulsivity levels within these diagnostic groups, and variations in impulsive levels predict higher severity of symptoms and poorer outcomes. We addressed the question of whether impulsivity scores can yield empirically driven subgroups of addicted individuals that will exhibit different clinical presentations and outcomes. We applied latent class analysis (LCA) to trait (UPPS-P impulsive behavior scale) and cognitive impulsivity (Stroop and d2 tests) scores in three predominantly male addiction diagnostic groups: Cocaine with Personality Disorders, Cocaine Non-comorbid, and Gambling and analyzed the usefulness of the resulting subgroups to differentiate personality beliefs and relevant outcomes: Craving, psychosocial adjustment, and quality of life. In accordance with impulsivity scores, the three addiction diagnostic groups are best represented as two separate classes: Class 1 characterized by greater trait impulsivity and poorer cognitive impulsivity performance and Class 2 characterized by lower trait impulsivity and better cognitive impulsivity performance. The two empirically derived classes showed significant differences on personality features and outcome variables (Class 1 exhibited greater personality dysfunction and worse clinical outcomes), whereas conventional diagnostic groups showed non-significant differences on most of these measures. Trait and cognitive impulsivity scores differentiate subgroups of addicted individuals with more versus less severe personality features and clinical outcomes.