Outcome of the treatment of invasive non-transitional cell carcinoma

BACKGROUND: We evaluated the treatment outcomes of non-transitional cell carcinoma (non-TCC) cases after radical cystectomy. METHODS: Radical cystectomy was performed in 259 invasive bladder cancer patients in our department and of these, 59 (22.7%) were non-TCC. Primary squamous cell carcinomas (SCC), adenocarcinomas and undifferentiated cancers (UC) were grouped as non-TCC of the bladder. Of the 59 non-TCC; 32 SCC, 20 UC, five adenocarcinoma and two sarcomatoid tumor cases were demonstrated. RESULTS: The 5-year disease-specific survival rate of TCC and non-TCC cases were 48.9 and 28.2%, respectively (P = 0.0016). The 5-year disease-specific survival rates of SCC and UC were 25.1 and 23.4%, respectively. The median survival time of SCC, UC and adenocarcinoma cases were 19, 12 and 6 months, respectively (P = 0.4579). The disease-specific survival rates of TCC and non-TCC cases at stage pT2NoMo were 79.1 and 27.2%, respectively (P = 0.0000). The median survival time of SCC, UC and adenocarcinoma cases were 19, 12 and 13.3 months, respectively, for the same stage. The survival time of TCC, SCC and UC cases at stage pT3NoMo were 23, 26 and 45 months, respectively (P = 0.2307). The median survival time at stages pT2-3N1Mo for the same groups were 18, 16 and 11 months, respectively (P = 0.0939). CONCLUSION: The study presented here demonstrates that both TCC and non-TCC cases have poor survival rates in locally advanced disease and that at the pT2NoMo stage the prognosis of non-TCC cases is poor when compared with TCC cases.     

Detection of gram-negative bacteraemia in early sepsis by a quantitative chromogenic and kinetic endotoxin assay

A kinetic chromogenic limulus test was carried out in order to investigate the possibility of a sensitive and specific detection of circulating endotoxin during the first 24 h of septic shock or severe sepsis in 76 patients. Two commercial kits, Whittaeker (W) and Chromogenix (C), were used. Blood culture was taken as a reference. At 1 : 10 plasma dilution (a currently used dilution in the end point limulus test) abnormal reaction kinetics were found in 13% and 41% of tests, for C and W respectively ( P  = 0.0008), resulting in unreliable results. Retesting plasma at a greater dilution, until the reaction kinetic was identical to calibration curve control values, gave similar results between the two kits and a better accuracy. Beyond a 0.5 EU mL⁻¹ endotoxin level, the probability of Gram-negative bacteraemia was high (sensitivity = 0.53 and 0.47; specificity = 0.95 and 0.93 for C and W respectively). This kinetic limulus amoebocyte lysate (LAL) test may be useful in therapeutic decisions for treatment of endotoxaemia.     

Phorbol ester induces expression and function of interleukin-2 receptors on a human leukemic cell line with a T-cell precursor phenotype

We show here that a human leukemic cell line, PER-117, bearing the markers of a T-cell precursor phenotype, can be induced to express receptors for interleukin-2 (IL-2). These IL-2 receptors could be demonstrated to mediate a physiologic response to the lymphokine for which the high-affinity form of the IL-2 receptor appears to be essential. The phenotype of PER-117 cells corresponds to the earliest identifiable stage of T-cell differentiation, which is defined by the lack of the T3-T-cell receptor complex and the presence of the 40 Kd protein recognized by monoclonal antibodies of the CD7 group. Further evidence for the clonality and T-cell lineage of this cell line was obtained by analysis of rearrangements of genes for the T-cell receptor (TCR) beta chain and for the immunoglobulin heavy-chain (IgJH) genes. PER-117 cells could be shown to have rearranged TCR beta genes but no rearrangement of the IgJH genes. Cell line PER-117 provides a model to investigate the requirements for induction of IL-2 receptors in a cell expressing the first T-cell-specific marker and may help to elucidate the role of IL-2 during thymic differentiation and in the uncontrolled proliferation of T-cell leukemias.     

Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG

Chronic sleepiness is a common symptom in the sleep disorders, such as, Obstructive Sleep Apnea, Periodic leg movement disorder, narcolepsy, etc. It affects 8% of the adult population and is associated with significant morbidity and increased risk to individual and society. MSLT and MWT are the existing tests for measuring sleepiness. Sleep Latency (SL) is the main measures of sleepiness computed in these tests. These are the laboratory-based tests and require services of an expert sleep technician. There are no tests available to detect inadvertent sleep onset in real time and which can be performed in any professional work environment to measure sleepiness level. In this article, we propose a fully automated, objective sleepiness analysis technique based on the single channel of EEG. The method uses a one-dimensional slice of the EEG Bispectrum representing a nonlinear transformation of the underlying EEG generator to compute a novel index called Sleepiness Index. The SL is then computed from the SI. Working on the patient’s database of 42 subjects we computed SI and estimated SL. A strong significant correlation (r ≥ 0.70, s < 0.001) was found between technician scored SL and that computed via SI. The proposed technology holds promise in the automation of the MSLT and MWT tests. It can also be developed into a sleep management system, wherein the SI is incorporated into a sleepiness index alert unit to alarm the user when sleepiness level crosses the predetermined threshold.     

A method to screen obstructive sleep apnea using multi-variable non-intrusive measurements

Obstructive sleep apnea (OSA) is a serious sleep disorder. The current standard OSA diagnosis method is polysomnography (PSG) testing. PSG requires an overnight hospital stay while physically connected to 10-15 channels of measurement. PSG is expensive, inconvenient and requires the extensive involvement of a sleep technologist. As such, it is not suitable for community screening. OSA is a widespread disease and more than 80% of sufferers remain undiagnosed. Simplified, unattended and cheap OSA screening methods are urgently needed. Snoring is commonly associated with OSA but is not fully utilized in clinical diagnosis. Snoring contains pseudo-periodic packets of energy that produce characteristic vibrating sounds familiar to humans. In this paper, we propose a multi-feature vector that represents pitch information, formant information, a measure of periodic structure existence in snore episodes and the neck circumference of the subject to characterize OSA condition. Snore features were estimated from snore signals recorded in a sleep laboratory. The multi-feature vector was applied to a neural network for OSA/non-OSA classification and K-fold cross-validated using a random sub-sampling technique. We also propose a simple method to remove a specific class of background interference. Our method resulted in a sensitivity of 91 ± 6% and a specificity of 89 ± 5% for test data for AHI(THRESHOLD) = 15 for a database consisting of 51 subjects. This method has the potential as a non-intrusive, unattended technique to screen OSA using snore sound as the primary signal.     

Multi-feature snore sound analysis in obstructive sleep apnea-hypopnea syndrome

Snoring is the most common symptom of obstructive sleep apnea hypopnea syndrome (OSAHS), which is a serious disease with high community prevalence. The standard method of OSAHS diagnosis, known as polysomnography (PSG), is expensive and time consuming. There is evidence suggesting that snore-related sounds (SRS) carry sufficient information to diagnose OSAHS. In this paper we present a technique for diagnosing OSAHS based solely on snore sound analysis. The method comprises a logistic regression model fed with snore parameters derived from its features such as the pitch and total airway response (TAR) estimated using a higher order statistics (HOS)-based algorithm. Pitch represents a time domain characteristic of the airway vibrations and the TAR represents the acoustical changes brought about by the collapsing upper airways. The performance of the proposed method was evaluated using the technique of K-fold cross validation, on a clinical database consisting of overnight snoring sounds of 41 subjects. The method achieved 89.3% sensitivity with 92.3% specificity (the area under the ROC curve was 0.96). These results establish the feasibility of developing a snore-based OSAHS community-screening device, which does not require any contact measurements.