In the 7th report of International Committee on prevention, detection, evaluation and treatment of hypertension has collected all studies from 1997 to 2003. Classification of hypertension: prehypertension, prehypertension in stage, prehypertension in 2 stage. It is better to use stethoscope for measure blood presure. Content of checking hypertension patients: find out the reason for hypertension, calcutate BMI, hear blood pulse in neck, stomach, groin, examination of nerve system, ECG, urine test and blood test. Treatments: control life style, diuretic, block /beta, block Ca channel, block /alpha, educate for patients
Hypertension ; Hematologic Tests ; Therapeutics

No abstract available.
Accreditation ; Hematologic Tests

No abstract available.
Diagnosis* ; Hematologic Tests*

Child ; Hematologic Tests ; Humans

Child ; Hematologic Tests ; Humans

Hematologic Diseases ; diagnosis ; Hematologic Tests ; Humans

As there is justification showing that Poiseuille's Law is not suited for vertical Capillary tube viscometer, Poiseuille's Law has not been used to deduce the calculation formula for measuring liquid viscosity by means of vertical Capillary tube viscometer; it can only be used to deduce the calculation formula for measuring liquid viscosity by horizontal capillary tube viscometer. In this article, we explained the extension of Poiseuille's Law to deduce the Calculation formula for measuring liquid viscosity by using shallow pool and deep pool Capillar tube viscometer, and so corrected the mistakes in using Poiseuille's Law for a long time.
Blood Viscosity ; Hematologic Tests ; instrumentation ; Hemorheology ; Humans

BACKGROUND: Nowadays, although its clinical value remains controversial institutions utilize hair mineral analysis. Arguments about the reliability of hair mineral analysis persist, and there have been evaluations of commercial laboratories performing hair mineral analysis. OBJECTIVE: The objective of this study was to assess the reliability of intra-laboratory and inter-laboratory data at three commercial laboratories conducting hair mineral analysis, compared to serum mineral analysis. METHODS: Two divided hair samples taken from near the scalp were submitted for analysis at the same time, to all laboratories, from one healthy volunteer. Each laboratory sent a report consisting of quantitative results and their interpretation of health implications. Differences among intra-laboratory and interlaboratory data were analyzed using SPSS version 12.0 (SPSS Inc., USA). RESULTS: All the laboratories used identical methods for quantitative analysis, and they generated consistent numerical results according to Friedman analysis of variance. However, the normal reference ranges of each laboratory varied. As such, each laboratory interpreted the patient's health differently. On intra-laboratory data, Wilcoxon analysis suggested they generated relatively coherent data, but laboratory B could not in one element, so its reliability was doubtful. In comparison with the blood test, laboratory C generated identical results, but not laboratory A and B. CONCLUSION: Hair mineral analysis has its limitations, considering the reliability of inter and intra laboratory analysis comparing with blood analysis. As such, clinicians should be cautious when applying hair mineral analysis as an ancillary tool. Each laboratory included in this study requires continuous refinement from now on for inducing standardized normal reference levels.
Hair ; Hematologic Tests ; Minerals ; Reference Values ; Scalp

China ; Female ; Hematologic Tests ; standards ; Hospitals ; standards ; Humans ; Male

PURPOSE: The aim of this study was to determine whether patients with recurrent stone formations have significant metabolic risk factors compared to patients with first-time stone formations. MATERIALS AND METHODS: 456 patients who participated in the stone metabolic study at Chung-Ang University Hospital between January 1, 2001 and June 30, 2002 were selected as subjects. 347 patients (211 males, 136 females) with first-time stone formations and 109 patients (77 males, 32 females) with recurrent stone formations were selected. The blood test and 24-hour urine test were categorized and grouped according to: 1) gender; 2) age brackets of 40 and under, 40-49, and 60 and over; 3) and gender-based age bracket distribution. RESULTS: Hypocitraturia was the most common metabolic abnormality in both males and females and in all age groups. Hypocitraturia, in particular, was shown to have more significant associations (p<0.05) in female patients in their 40s and 50s with recurrent stone formations (75%) compared to female patients of the same age range with first-time stone formations (38.6%). In addition, a small urine volume was found to have similar significant associations with these subject groups (p<0.05) with respect to patients with first-time stone formations and recurrent stone formations. Female Patients (especially those in their 40s and 50s) with recurrent stone formations (242.1+/-158.5) were found to have a higher probability (p<0.05) of hypocitraturia than patients with first-time stone formation (419.9+/-242.3). CONCLUSIONS: In women with recurrent stone formation, hypocitraturia and low urine volume are the risk factors that differentiate them from patients with first-time stone formation. The correction of hypocitraturia & low urine volume may significantly reduce the patients' chances for recurrent stone formation.
Female ; Hematologic Tests ; Humans ; Male ; Recurrence ; Risk Factors* ; Urolithiasis