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The impact of body-weight components on forced spirometry in healthy italians.

Many studies have investigated lung function in relation to age and height among Caucasians, however, most of these studies did not consider the individual components of body weight. The objective of the present study was to study the effect of body weight components [bone-free lean body mass (BF-LBM), bone mineral content (BMC), and fat mass (FM)] measured by dual x-ray absorptiometry (DXA) on the lung-function variables (FVC, FEV1, and PEF) and to derive prediction equations for these variables in healthy adult Italians. Dynamic spirometric tests and body composition analysis by DXA were performed on 58 nonsmoking males, mean age ( +/-SE) 26.72 +/- 1.98 years and BMI 25.51 +/- 0.64 kg/m2, and 60 nonsmoking females matched for age and BMI (29.61 +/- 1.65 years and 26.45 +/- 1.05 kg/m2, respectively). Bivariate linear regression analysis showed the variables age, height, BF-LBM, BMC, and the interaction term BF-LBM*Height, but not weight and FM, to correlate significantly with lung-function variables for males and for females separately. Multiple linear regression analysis showed that sex, age, height, and BF-LBM*Height were significantly associated with FVC, FEV1, and PEF. The prediction equations developed for FVC, FEV1, and PEF on the basis of the independent variables i.e. sex, age (y), height (m), and BF-LBM*Height (kg. m) had a significantly higher cumulative correlation coefficient and a lower SEE compared with those based on age and height only. The present report suggests that the BF-LBM, expressed independently from height, can be considered for predicting lung-function variables.

Adolescent↗

Estimating photosynthetic electron transport via chlorophyll fluorometry without Photosystem II light saturation.

Estimates of thylakoid electron transport rates (J(e)) from chlorophyll fluorometry are often used in combination with leaf gas exchange measurements to provide detailed information about photosynthetic activity of leaves in situ. Estimating J(e) requires accurate determination of the quantum efficiency of Photosystem II (Phi(P)), which in turn requires momentary light saturation of the Photosystem II light harvesting complex to induce the maximum fluorescence signal (F(M)'). In practice, full saturation is often difficult to achieve, especially when incident photosynthetic photon flux density (Q) is high and energy is effectively dissipated by non-photochemical quenching. In the present work, a method for estimating the true F(M)' under high Q was developed, using multiple light pulses of varying intensity (Q'). The form of the expected relationship between the apparent F(M)' and Q' was derived from theoretical considerations. This allowed the true F(M)' at infinite Q' to be estimated from linear regression. Using a commercially available leaf gas exchange/ chlorophyll fluorescence measurement system, J(e) was compared to gross photosynthetic CO(2) assimilation (A(G)) under conditions where the relationship between J(e) and A(G) was expected to be linear. Both in C(4) leaves (Zea mays) in ambient air and also in C(3) leaves (Gossypium hirsutum) under non-photorespiratory conditions the apparent ratio between J(e) and A(G) declined at high Q when Phi(P) was calculated from F(M)' measured simply using the highest available saturating pulse intensity. When F(M)' was determined using the multiple pulse / linear regression technique, the expected relationship between J(e) and A(G) at high Q was restored, indicating that the Phi(P) estimate was improved. This method of determining F(M)' should prove useful for verifying when saturating pulse intensities are sufficient, and for accurately determining Phi(P) when they are not.

Journal Article↗

The estimation of fetal weight by computer-assisted analysis.

The need for a quick and easy method for estimating fetal weight in utero has been clearly established. Estimates by abdominal palpation and fetal hormone production have proved to be of limited value. Eight-five patients, ranging from 17 to 41 weeks' gestation, were ultrasonically scanned within 48 hours of delivery. Statistical analysis and multiple multivariant linear regressions were performed employing the BMD statistical packages. Our results show that birth weight is a logarithmic function of fetal body parameters and that the abdominal circumference has the single best correlation with the log10 birth weight. Our best linear regression with the use of two fetal dimensions (abdominal circumference and biparietal diameter) had a standard deviation of 106 grams per kilogram fetal weight. Since this derived formula is very cumbersome to manipulate, tables have been prepared with computer assistance to read the estimated fetal weight directly. Prospective estimates in 32 cases of both normal and pathologic gestations have proved to be within our expected accuracy.

Abdomen↗

Derivation of a definition of remission on the Montgomery-Asberg depression rating scale corresponding to the definition of remission on the Hamilton rating scale for depression.

During the past decade the Montgomery-Asberg Depression Rating Scale (MADRS) has been used with increasing frequency to measure outcome in antidepressant efficacy trials (AETs). In characterizing treatment outcome in AETs it is common to define treatment remission as a score below a predetermined cutoff score on the scale. Various cutoffs have been used to define remission on the MADRS. The goal of the present paper is to determine the cutoff on the MADRS that most closely corresponds to the cutoff most frequently used on the Hamilton Rating Scale for Depression to define remission. Three hundred and three psychiatric outpatients who were being treated for a DSM-IV major depressive episode were rated on the HRSD and the MADRS. A linear regression equation was computed to estimate MADRS scores from HRSD scores. After deriving the regression equation, we computed the MADRS score corresponding to an HRSD score of 7. We also examined the sensitivity, specificity and overall classification rate of the MADRS for identifying remission on the HRSD. Based on the equation from a linear regression analysis for the entire sample, a MADRS score of </=11 would correspond to a score of </=7 on the HRSD. We repeated the analysis after excluding the more severely depressed patients who currently met criteria for MDD, and based on the equation from this regression analysis a MADRS score of </=10 would correspond to a score of </=7 on the HRSD. In a complementary analysis, we examined the sensitivity, specificity and overall classification rate of the MADRS at different cutoff points for identifying remission, and found that a cutoff of </=10 maximized the level of agreement with the HRSD definition of remission. In conclusion, the regression equation relating HRSD and MADRS scores is dependent, in part, on the range and severity of scores in the sample. To facilitate comparisons of studies using the HRSD and MADRS our results suggest that a cutoff of 10 on the MADRS is equivalent to the HRSD cutoff of 7.

Adolescent↗

The effect of personal factors on the relationship between carbon disulfide exposure and urinary 2-thiothiazolidine-4-carboxylic acid levels in rayon manufacturing workers.

BACKGROUND: Few studies have been conducted to explore how personal factors-personal hygiene, personal protective equipment, and skin exposure affect the exposure-dose relationship in workers exposed to carbon disulfide (CS(2)). METHODS: Personal environmental monitoring of airborne CS(2) and 2-thiothiazolidine-4-carboxylic acid (TTCA) levels in post-shift urine were determined for sixty-five rayon workers. The personal factors affecting the CS(2)-TTCA relationship were measured by questionnaire and dermatological diagnosis. RESULTS: In simple linear regression analyses, we found shower right after work, respirator, gloves, apron, and skin disease were significantly associated with U-TTCA levels among all personal factors. Skin disease was, however, the only personal factor that remained significant throughout multivariate linear regression analyses. CONCLUSIONS: In this study, the personal factor like host's skin disease was found to possibly affect the relations of U-TTCA to the occupational exposure to CS(2). The skin exposure to CS(2) for those who have skin problems on the sites possibly or potentially exposed to CS(2) in the occupational environment such as in the rayon manufacturing process is noteworthy. Workers with susceptible skins should either be assigned to work in areas without contacting hazardous materials directly or required to wear appropriately protective clothing.

Administration, Cutaneous↗

"Anticonnectivity": a challenge for structure-property-activity studies.

The higher-order variable connectivity indices were introduced to account for the combination of positive and negative relative contributions of atoms and bonds in the construction of the quantitative structure-property relationships or quantitative structure-activity relationships models. The coding capabilities of modified descriptors were presented on the modeling of the atmospheric reaction rate constants of selected organic compounds with OH radicals. The optimization of diagonal weights of the augmented adjacency matrix pointed out the significant enhancing effect of oxygen and the suppressive effect of chlorine on the overall molecular atmospheric reactivity of organic compounds with OH radicals. The linear regression model, using a single structural descriptor, that is, a variable connectivity index of order one, produced a root-mean-square error of 0.343 log units. Although the obtained calculation error was higher than in previously reported multiple linear regression models, the new model offered important insight into the role of the individual structural components that are influencing the reactivity of organic compounds.

Journal Article↗

Effect of deletion polymorphism of angiotensin converting enzyme gene on progression of diabetic nephropathy during inhibition of angiotensin converting enzyme: observational follow up study.

OBJECTIVE: To evaluate the concept that an insertion/deletion polymorphism of the angiotensin converting enzyme gene predicts the therapeutic efficacy of inhibition of angiotensin converting enzyme on progression of diabetic nephropathy. DESIGN: Observational follow up study of patients with insulin dependent diabetes and nephropathy who had been treated with captopril for a median of 7 years (range 3-9 years). SETTING: Outpatient diabetic clinic in a tertiary referral centre. PATIENTS: 35 patients with insulin dependent diabetes and nephropathy were investigated during captopril treatment (median 75 mg/day (range 12.5 to 150 mg/day)) that was in many cases combined with a loop diuretic, 11 patients were homozygous for the deletion allele and 24 were heterozygous or homozygous for the insertion allele of the angiotensin converting enzyme gene. MAIN OUTCOME MEASURES: Albuminuria, arterial blood pressure, and glomerular filtration rate according to insertion/deletion polymorphism. RESULTS: The two groups had comparable glomerular filtration rate, albuminuria, blood pressure, and haemoglobin A1c concentration at baseline. Captopril induced nearly the same reduction in mean blood pressure in the two groups-to 103 (SD 5) mm Hg in the group with the deletion and 102 (8) mm Hg in the group with the insertion-and in geometric mean albumin excretion-573 (antilog SE 1.3) micrograms/min and 470 (1.2) micrograms/min, respectively. The rate of decline in glomerular filtration rate (linear regression of all glomerular filtration rate measurements during antihypertensive treatment) was significantly steeper in the group homozygous for the double deletion allele than in the other group (mean 5.7 (3.7) ml/min/year and 2.6 (2.8) ml/min/year, respectively; P = 0.01). Multiple linear regression analysis showed that haemoglobin A1c concentration, albuminuria, and the double deletion genotype independently influenced the sustained rate of decline in glomerular filtration rate (R1 (adjusted) = 0.51). CONCLUSION: The deletion polymorphism in the angiotensin converting enzyme gene reduces the long term beneficial effect of angiotensin converting enzyme inhibition on the progression of diabetic nephropathy in patients with insulin dependent diabetes.

Adult↗

Effect of background serum lithium concentrations on the accuracy of lithium dilution cardiac output determination in dogs.

OBJECTIVES: To assess the effect of increasing serum lithium concentrations on lithium dilution cardiac output (LiDCO) determination and to determine the ability to predict the serum lithium concentration from the cumulative lithium chloride dosage. ANIMALS: 10 dogs (7 males, 3 females). PROCEDURE: Cardiac output (CO) was determined in anesthetized dogs by measuring LiDCO and thermodilution cardiac output (TDCO). The effect of the serum lithium concentration on LiDCO was assessed by observing the agreement between TDCO and LiDCO at various serum lithium concentrations. Also, cumulative lithium chloride dosage was compared with the corresponding serum lithium concentrations. RESULTS: 44 paired observations were used. The linear regression analysis for the effect of the serum lithium concentration on the agreement between TDCO and LiDCO revealed a slope of -1.530 (95% confidence interval [CI], -2.388 to -0.671) and a y-intercept of 0.011 (r2 = 0.235). The linear regression analysis for the effect of the cumulative lithium chloride dosage on the serum lithium concentration revealed a slope of 2.291 (95% CI, 2.153 to 2.429) and a y-intercept of 0.008 (r2 = 0.969). CONCLUSIONS AND CLINICAL RELEVANCE: The LiDCO measurement increased slightly as the serum lithium concentration increased. This error was not clinically relevant and was minimal at a serum lithium concentration of 0.1 mmol/L and modest at a concentration of 0.4 mmol/L. The serum lithium concentration can be reliably predicted from the cumulative lithium dosage if lithium chloride is administered often within a short period.

Animals↗

Application of broken-line analysis to assess floor space requirements of nursery and grower-finisher pigs expressed on an allometric basis.

Few issues in swine production are as complex as floor space allowances. One method for pork producers to calculate floor space allowance (A) is to convert BW into a 2-dimensional concept yielding an expression of A = k * BW(0.667). Data on ADG, ADFI, and G:F were obtained from published peer-reviewed studies. Five data sets were created: A = grower-finisher pigs, fully slatted floors, and consistent group size; B = grower-finisher pigs and fully slatted floors (group size did not need to be consistent); C = grower-finisher pigs, partially slatted floors, and consistent group size; D = grower-finisher pigs, partially slatted floors (group size did not need to be consistent); and E = nursery pigs, fully slatted or woven wire floors (group size did not need to be consistent). Each data set was analyzed using a broken-line analysis and a linear regression. For the broken-line analyses, the critical k value, below which a decrease in ADG occurred, varied from 0.0317 to 0.0348. In all cases the effect of space allowance on ADG was significant (P < 0.05). Using the linear analyses based on data with k values of < 0.030, the critical k values for the 4 grower-finisher data sets did not differ from those obtained using the broken-line analysis (0.0358 vs. 0.0336, respectively; P > 0.10); however, none of the linear regressions explained a significant proportion of the variation in ADG. The slopes for the nonplateau portion of the broken-line analyses based on percent values varied among data sets. For every 0.001 decrease in k (approximately 3% of the critical k value), ADG decreased by 0.56 to 1.41%, with an average value of 0.98% for the 5%-based analyses. The use of an allometric approach to express space allowance and broken-line analysis to establish space requirements seem to be useful tools for pig production. The critical k value at which crowding becomes detrimental to the growth of the pig is similar in full- and partial-slat systems and in nursery and grower-finisher stages. The critical point for crowding determined in these analyses approximated current recommendations to ensure the welfare of pigs.

Animal Husbandry↗

[Real-time analysis of soil moisture, soil organic matter, and soil total nitrogen with NIR spectra].

The grey-brown alluvial soil in northern China was selected as research object, and the feasibility and possibility of real-time analyzing soil para-fueter with NIR spectroscopic techniques were explored. One hundred fifty samples were collected from a winter wheat farm. NIR absorbance spectra were rapidly measured under their original conditions by a Nicolet Antaris FT-NIR analyzer. Three soil parameters, namely soil moisture, SOM (soil organic matter) and TN (total nitrogen) content, were analyzed. For soil moisture content, a linear regression model was available, using 1920 nm wavelength with correlation coefficient of 0.937, so that the results obtained could be directly used to real-time evaluate soil moisture. SOM content and TN content were estimated with a muviaiple linear regression model, 1870 and 1378 nm wavelengths were selected in the SOM estimate model, and 2262 and 1888 nrameter wavelengths were selected in the TN estimate model. The results showed that soil SOM and TN contents can be evaluated by using NIR absorbance spectra of soil samples.

English Abstract↗

Molecular dosimetry of urinary aflatoxin-DNA adducts in people living in Guangxi Autonomous Region, People's Republic of China.

Hepatocellular carcinoma is one of the five leading human cancers causing at least 250,000 deaths each year. One of the major risk factors for this disease is exposure to dietary aflatoxins, and the development of appropriate molecular dosimetry biomarkers would facilitate the identification of individuals at risk. This study was undertaken to explore the relationship between dietary intake of aflatoxins and the excretion of the major aflatoxin-DNA adduct and other metabolites into the urine of chronically exposed people. The following protocol was developed for this investigation in Guangxi Autonomous Region, People's Republic of China, where the diets of 30 males and 12 females (ages, 25-64 years) were monitored for 1 week and aflatoxin intake levels determined each day. Starting on the fourth day, total urine volumes were obtained in consecutive 12-h fractions for 3 or 4 days. High performance liquid chromatography and competitive radioimmunoassay analyses were done on each of the urine samples, and the relationships between excretion of total aflatoxin metabolites, aflatoxin-N7-guanine, aflatoxin M1, aflatoxin P1, and aflatoxin B1, and aflatoxin B1 intake values were determined. The average intake of aflatoxin B1 by men was 48.4 micrograms/day, giving a total mean exposure during the study period of 276.8 micrograms. The average daily intake by women was 77.4 micrograms/day, resulting in a total average exposure during the 7-day period of 542.6 micrograms aflatoxin B1. Initial efforts to characterize aflatoxin metabolites in urine samples were with an analysis by competitive radioimmunoassay. The analysis by linear regression of the association between aflatoxin B1 intake/day and total aflatoxin metabolite excretion/day showed a correlation coefficient of only 0.26. These findings stimulated the immunoaffinity/analytical high performance liquid chromatography analysis for individual metabolites. When the data were analyzed by linear regression analysis, the aflatoxin N7-guanine excretion and aflatoxin B1 intake from the previous day showed a correlation coefficient of 0.65 and P less than 0.000001. Similar analysis for aflatoxin M1 resulted in a correlation coefficient of 0.55 and P less than 0.00001, whereas there was no positive statistical association between exposure in the diet and aflatoxin P1 excretion, despite aflatoxin P1 being quantitatively a major metabolite. Analysis of the total aflatoxin-N7-guanine excretion in the urine during the complete collection period plotted against the total aflatoxin B1 exposure in the diet for each of the individuals, smoothing the day to day variations, revealed a correlation coefficient of 0.80 and P less than 0.0000001.(ABSTRACT TRUNCATED AT 400 WORDS)

Adult↗

Two spent dialysate samples are sufficient for hemodialysis efficacy assessment.

INTRODUCTION: The measure of dialysis efficacy is expressed as Kt/V value (calculated from predialysis and postdialysis blood urea concentration). The aim of this study was to assess the possibility of direct calculation of Kt/V value from two spent dialysate samples by using the regular blood-based Kt/V calculation formula with dialysate samples used as surrogates for blood samples, and to detect the most appropriate couple of dialysate samples for Kt/V estimation. PATIENTS AND METHODS: Fifty-two single hemodialysis treatments in 34 anuric patients on chronic bicarbonate low-flux hemodialysis were observed. Kt/V values according to Daugirdas formula from two blood samples and from two dialysate samples were calculated. RESULTS: Kt/V values calculated according to Daugirdas 2 nd generation formula from blood samples (Kt/V sp Daugirdas) were in significant correlation with all Kt/V values obtained from two spent dialysate samples. The highest correlation coefficient (r = 0.74, p < 0.001) and the least standard error of mean of the differences were found between Kt/V sp Daugirdas and value obtained with substitution of urea concentration from dialysate samples taken 60 minutes after dialysis start and at the end of the dialysis into Daugirdas 2 nd generation formula (Kt/V D C D(60) -C D(e) ), which can be expressed as a equation of linear regression y = 0.47 + 0.86x. The highest correlation coefficient (r =0.74, p < 0.001) was found between Kt/V sp Daugirdas values equilibrated according to Daugirdas rate formula, and Kt/V D C D(60) -C D(e) value, which can also be expressed as an equation of linear regression y = 0.43 + 0.73x. CONCLUSION: The results of this study clearly show the sufficiency of only two spent dialysate samples for direct estimation of the Kt/V values, with no blood sample required.

Adult↗

Comparison of endocrine tests with respect to their predictive value on the outcome of ovarian hyperstimulation in IVF treatment: results of a prospective randomized study.

BACKGROUND: This study was designed to compare endocrine tests [clomiphene citrate challenge test (CCT), exogenous FSH ovarian reserve test (EFORT) and basal FSH, basal estradiol (E(2)) and basal inhibin B as an integral part of all CCT and EFORT], with respect to their ability to estimate the stimulable cohort of follicles in the ovaries (ovarian capacity) and to analyse which test or combination of tests would give the best prediction of ovarian capacity. METHODS: A total of 110 regularly menstruating patients, aged 18-39 years, participated in this prospective study, randomized by a computer-designed 4-block system study into two groups. Fifty-six patients underwent a CCT, and 54 patients underwent an EFORT. In all patients, the test was followed by an IVF treatment. The result of ovarian hyperstimulation during IVF treatment, expressed by the total number of follicles, was used as gold standard. RESULTS: Univariate linear regression analysis showed that the best correlation with the number of follicles after ovarian hyperstimulation (Y) is found by the inhibin B increment (InhB incr.) in the EFORT (Y = 3.957 + 0.081 x InhB incr. (95% CI 0.061-0.101); r = 0.751; P < 0.001). Multiple linear regression analysis showed a significant contributing value of the variables basal FSH, E(2) increment of the EFORT and inhibin B increment to the basic model with the variable age. The best prediction of ovarian capacity (Y) was seen when E(2) increment and inhibin B increment were used simultaneously in a stepforward multiple regression prediction model [Y = 2.659 + 0.052 x InhB incr. (0.026-0.078) + 0.027 x E(2) incr. (95% CI 0.012-0.054); r = 0.796; P < 0.001]. The CCT could not be used in a prediction model. CONCLUSIONS: The EFORT is the endocrine test which gives the best prediction of ovarian capacity.

Adolescent↗

Determinants of handgrip strength in free-living elderly at risk of malnutrition.

PURPOSE: Handgrip strength is necessary for performing activities of daily living, which, in turn, are required to maintain functional autonomy. The purpose of this study was to determine anthropometric and personal factors that affect handgrip strength in a group of free-living elderly at risk of malnutrition. METHOD: The factors associated with handgrip strength (Pearson r, t-test, alpha = 0.10) were entered in a multiple linear regression model (n = 166) to identify the independent prediction factors. Reliability of the model was verified with a sub-group of 65 subjects randomly selected from the initial sample. RESULTS: Both groups were statistically similar regarding all factors studied even though the validation group (n = 65) had more men (32%) compared to the development group (n = 166; 22%). Bivariate analyses showed that handgrip strength was associated with sex, age, pain, hand circumference, and waist-hip ratio. Multiple linear regression analysis identified age, pain, and sex as independent determinants of handgrip strength (R2 = 0.16). This model predicted handgrip strength better in the validation group (R2 = 0.29). CONCLUSIONS: As previously shown, women have a smaller handgrip strength than men. In addition, handgrip strength decreases with increasing age and the presence of pain. Emphasis should be placed on the importance of strategies to relieve pain in the free-living frail elderly population.

Activities of Daily Living↗

A method to compensate for incomplete 24-hour urine collections in nutritional epidemiology studies.

OBJECTIVE: To develop a method to make use of incomplete 24-hour urinary samples in nutritional epidemiology, especially when validating the dietary intake of nitrogen (protein), sodium and potassium. DESIGN: Urinary data for men and women collected in three different studies were evaluated. The concentration of para-aminobenzoic acid (PABA) in one 24-hour urine sample per person was compared with the concentrations of nitrogen, sodium, potassium and creatinine. SETTING: Men and women living in Cambridge, UK and women living in the town of Varberg, Sweden. SUBJECTS: In total, this study consists of data from 73 Swedish women (20-50 years of age), 165 UK women (50-65 years) and 75 UK men (55-88 years). RESULTS: On average four out of 10 people in this study had a PABA recovery below 85%. The linear regression equations for urinary excretion of nitrogen, sodium and potassium in relation to PABA recovery were y=2.3 + 0.088 x chi (r=0.99), y=45 + 0.82 x chi (r= 0.87) and y = 19 + 0.60 x chi (r= 0.93), respectively. CONCLUSIONS: The linear regression equations can be used for adjusting urinary nitrogen, sodium and potassium in urinary collections in cases where the PABA recovery is below 85%. Since it is common to obtain 24-hour urine collections with a PABA recovery below 85%, this method should increase the usefulness of biological markers of food intake in nutritional epidemiological studies and also increase the possibilities to study people that previously have been part of the drop-out group or the group with low motivation and cooperation. It is important to stress that we have not studied the relationship between PABA recovery and various urinary variables below the PABA recovery of 50%. Thus, in a case of PABA recovery below 50%, we do not recommend the use of this method to compensate for incomplete collections.

4-Aminobenzoic Acid↗

Linear least squares compartmental-model-independent parameter identification in PET.

A simplified approach involving linear-regression straight-line parameter fitting of dynamic scan data is developed for both specific and nonspecific models. Where compartmental-model topologies apply, the measured activity may be expressed in terms of: its integrals, plasma activity and plasma integrals--all in a linear expression with macroparameters as coefficients. Multiple linear regression, as in spreadsheet software, determines parameters for best data fits. Positron emission tomography (PET)-acquired gray-matter images in a dynamic scan are analyzed: both by this method and by traditional iterative nonlinear least squares. Both patient and simulated data were used. Regression and traditional methods are in expected agreement. Monte-Carlo simulations evaluate parameter standard deviations, due to data noise, and much smaller noise-induced biases. Unique straight-line graphical displays permit visualizing data influences on various macroparameters as changes in slopes. Advantages of regression fitting are: simplicity, speed, ease of implementation in spreadsheet software, avoiding risks of convergence failures or false solutions in iterative least squares, and providing various visualizations of the uptake process by straight line graphical displays. Multiparameter model-independent analyses on lesser understood systems is also made possible.

Algorithms↗

[Determination of mutation frequency at loci of glycophorin A and T-cell receptors: informativeness for biological dosimetry of acute and prolonged irradiation].

The frequencies of somatic mutations at loci of glycophorin A (GPA) and T-cell receptor (TCR) were determined in persons exposed professionally to ionizing radiation or a result of accidents at nuclear power plants and in control donors. Dependence of glycophorin A mutant (NO) cell frequency on doses of acute (up to 3.5 Gy) and prolonged (up to 15.0 Gy) irradiation was shown. The slope of linear regression corresponded to increase of NO-mutant frequency by 31.1 x 10(-6)/Gy (r = 0.87, p < 0.0001) for acute irradiation and by 6.3 x 10(-6)/Gy (r = 0.61, p < 0.0001) for prolonged one. The 5-fold decrease of the linear regression slope in the case of prolonged irradiation makes significantly worse permissive ability of the GPA test. Therefore its use for biological dosimetry of prolonged irradiation is not expedient in dose interval up to 1 Gy. The frequency of mutations in genes of T-cell receptor significantly correlated with dose of irradiation only in group of donors with recent radiation exposure (r = 0.75, p = 0.0002). Meanwhile, the TCR method is more sensitive and informative for biological dosimetry of recent radiation, than the GPA test.

Adolescent↗

The use of midazolam for prehospital rapid-sequence intubation may be associated with a dose-related increase in hypotension.

OBJECTIVE: To investigate the incidence of hypotension associated with the use of midazolam for prehospital rapid-sequence intubation (RSI). METHODS: A retrospective review was performed using charts from the two aeromedical agencies servicing the authors' region. The RSI protocols used by crews from the northern (north) and the southern (south) parts of the region were identical, with the exception of midazolam dosing. The north crews used 0.1 mg/kg for all patients, while the south crews used 0.1 mg/kg up to a maximum of 5 mg. All patients receiving midazolam for prehospital RSI were pooled, with multiple linear regression used to investigate the relationship between midazolam dose and both hypotension and a decrease in systolic blood pressure (SBP) following RSI. Patients weighing >50 kg and patients with traumatic brain injury (TBI) were evaluated separately to determine differences between north and south with regard to midazolam dosing and incidence of hypotension. Multivariate logistical regression was used to test for these differences and for potential confounders such as age, initial SBP, and Glasgow Coma Scale score (GCS). RESULTS: A total of 219 patients were identified from the north (n = 75) and the south (n = 144). Multiple linear regression revealed a statistically significant relationship between midazolam dose and both hypotension and an SBP decrease following RSI. There was no difference between north and south with regard to age, sex, incidence of TBI, initial SBP, or GCS. In patients >50 kg, those from the north received higher doses of midazolam and had a higher incidence of hypotension than those from the south. This relationship was also present in 184 patients with TBI. CONCLUSION: The use of midazolam with prehospital RSI is associated with a dose-related incidence of hypotension.

Adult↗