Lung cancer detection by native fluorescence spectra of body fluids--a preliminary study.

Lung cancer takes a heavy toll every year, since the survival rate is not more than 15%. In this paper, we present results of a novel technique based on the autofluorescence of body fluids like blood plasma, acetone extract of cellular components, sputa and urine of lung cancer patients (N=27). A set of ratio parameters based on the fluorescence peaks of tryptophan and elastin, in plasma and sputum; flavin, NADH (reduced nicotinamide adenine dinucleotide) and porphyrin in urine; porphyrin alone in acetone extract of formed elements, were all evaluated. Similar sets of ratios were obtained for age adjusted normal controls (N=27) and all these ratios were given as inputs to multivariate (principle component and discriminant) analyses, which showed that the two groups could be classified with an accuracy of about 90%. Since the instrumentation involved was an ordinary steady state Xe lamp based spectrofluorometer, the technique is of significant advantage in screening and early detection of lung cancer in high risk population such as heavy smokers.

A prognostic model for HIV seroconversion among injection drug users as a tool for stratification in clinical trials.

OBJECTIVE: The main goal of this study was to construct a prognostic model for HIV seroconversion among injection drug users (IDUs) using easy-to-measure risk indicators. DESIGN: Cox proportional hazards regression modeling was used for risk stratification in a heterogeneous population of IDUs with regards to HIV risk-taking behaviors. METHODS: Subjects were recruited in a prospective cohort of IDUs followed between September 1992 and October 2001. A total of 1602 men, seronegative at enrollment with at least 1 follow-up visit, were included in the analyses. Only variables that consistently predict HIV seroconversion in several settings were considered. The final model was used to assign a risk score for each participant. RESULTS: Three risk indicators were included in the risk score to predict HIV seroconversion: unstable housing, average cocaine injections per day, and having shared a syringe with a known HIV-positive partner. Kaplan-Meier survival functions were generated and risk score values stratified in 3 groups. HIV incidence rates per 100 person-years were as follows: 0.91 (95% CI, 0.55-1.52) for the low-risk group, 3.10 (95% CI, 2.49-3.84) for the moderate-risk group, and 7.82 (95% CI, 6.30-9.73) for the high-risk group (log-rank P value < 0.0001). CONCLUSION: If validated in other settings, this risk score may improve the prediction of outcome and allow more accurate stratification in clinical trials.