Lean body mass as a metabolic reference standard.
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BACKGROUND: Although liquid-based cytology (LBC) is now recommended for cervical cancer screening, it requires expensive automated devices and materials. To evaluate the efficiency of inexpensive LBC methods relying on an inexpensive fixative liquid, Easyfix, we compared the results obtained by the liquid-based cytology (LBC) diagnoses performed by cytocentrifugations (Papspin and Turbitec) with those obtained by histology. Furthermore, we evaluated the efficiency of the fixative liquid, Easyfix, to preserve HPV DNA in the collected samples. METHOD: 266 LBC were compared with 174 colposcopies and 91 Loop Electrosurgical Excision Procedure (LEEP). Among the LBC, 51 were performed using the Papspin system and 215 were performed using the Turbitec system. To control the quality of the preservation liquid, Easyfix, we correlated the results of HCII assays with those of HPV PCR. RESULTS: For Papspin and Turbitec systems, the sensitivities were respectively 82.6% (95% CI: 61.2-95.0%, p < 0.001) and 75.0% (95% CI: 64.4-89.8%, p < 0.001) and the specificities were 92.6% (95%CI: 76.5-99.1%, p < 0.001) and 96.2% (95% CI: 91.3-98.7%, p < 0.001). We find no statistical difference between the results of the both systems (p = ns). The sensitivity of the HCII was 86.4% (95% IC: 77.4-92.8%, p < 0.001) and the specificity was 39.4% (95% CI: 31.2-48.1%, p < 0.001). The comparison between HCII and HPV-PCR shows a good correlation: the kappa was 0.89. CONCLUSION: LBC performed by cytocentrifugations are inexpensive, reduce inadequate smears, show excellent efficiency and allow HPV detection by molecular biology.
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The relationship between left ventricular ejection time, and physiological or biometrical data, is submitted to multivariate statistical analysis. Methodology is intended to attain three objectives: 1) to simulate a controlled-condition experiment in clinical research, by using the statistical method of multiple regression; 2) to get a wide inference of conclusions, by selecting a sample of two hundred subjects whose biological data cover a wide field; 3) to check the really prospective value of results, by applying the formula worked out in a group of a hundred subjects to another independent group of a hundred subjects. The prediction formula of ejection time takes into account: stroke volume, cardiac cycle duration, body height, sex, age, pulse pressure, blood capacity in oxygen, presence or absence of digitalis treatment or atrial fibrillation. The first aim of the formula is to better evaluate the normal relationship between considered variables. Secondarily it leads to a proposal for estimating mechanical performance of the left ventricle.