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Clinical factors influencing the efficacy of pooled platelet transfusions.

To determine the relative importance of clinical factors on the efficacy of platelet transfusions, 941 pooled platelet transfusions from HLA-unmatched donors were studied prospectively in 133 patients with bone marrow failure. Multiple linear regression analyses identified the major factors influencing one-hour-corrected increments (CI) as prior splenectomy, bone marrow transplantation, disseminated intravascular coagulation, concurrent intravenous amphotericin B, splenomegaly, and HLA antibody grade. The relative impact of these factors on CI has been quantitated by using a formula developed from these data. A linear relationship was demonstrated between increasing percentage of HLA antibody grade and decreasing CI. A number of other factors were less important in the linear regression model than the aforementioned major factors. These included platelet-specific antibodies, concurrent antibacterial antibiotics, clinical bleeding grade, and temperature. Factors that did not influence CI included the number of prior platelet transfusions, prior granulocyte transfusions, prior red cell transfusions, infection, age, blood group, diagnosis, sex, pretransfusion platelet count, prior pregnancies, and concurrent antineoplastic drugs. This study identified major clinical factors that significantly influenced CI and were major causes of refractoriness to pooled platelet transfusions.

Antibodies↗

Comparison ot two methods of measurements of the same substance: an evaluation of some statistical procedures.

Linear regression analysis and calculation of the correlation coefficient are usually used to compare the results of two methods of measurement of the same substance. The limitations of these procedures are illustrated with numerical examples, in which X (the independent variable contains random errors of measurement. Formulas are given for estimating a linear functional relationship in this case. An alternative procedure, not involving linear regression, is described in which means and variances of replicate measurements by each method are compared at various concentrations over the analytical range. The appropriate statistical tests are discussed.

Regression Analysis↗

Comparison of intraocular lens power calculation using the Binkhorst and SRK formulae: a clinical study.

Comparison of results of intraocular lens implants with IOL powers obtained by Binkhorst and SRK Linear Regression formulae was done using various models and brands of intraocular lenses. Of 887 pseudophakic patients. 415 patients received IOL's with their powers calculated for planned emmetropia, by means of theoretic formula devised by R.D. Binkhorst and in the remaining 472 eyes the IOL power was calculated with the SRK Linear Regression method. No significant difference (P < 0.05) was found between visual acuities, obtained with IOL's alone or after postoperative overcorrection of residual refractive errors between the two groups.

Cataract Extraction↗

Noninvasive monitoring of end-tidal carbon dioxide tension via nasal cannulas in spontaneously breathing children with profound hypocarbia.

OBJECTIVE: To determine the correlation between end-tidal CO2 and PaCO2 measured via nasal cannulas in spontaneously breathing children with profound hypocarbia (PaCO2 < 30 torr [< 4.0 kPa]). DESIGN: Prospective evaluation. SETTING: Pediatric intensive care unit (ICU) in a tertiary care referral center. INTERVENTIONS: None. PATIENTS: Patients admitted to the ICU with a diagnosis of diabetic ketoacidosis in whom invasive arterial access was deemed necessary for clinical care. The patients were spontaneously breathing, without intubation. The study included nine patients, with an average age of 9.9 yrs (range 4 to 17) and weight of 38.7 kg (range 17 to 68). MEASUREMENTS AND MAIN RESULTS: End-tidal CO2 was sampled from nasal cannulas by a sidestream aspirator and estimated by infrared spectroscopy. The correlation between arterial and end-tidal CO2 was compared using linear regression analysis. A total of 65 arterial blood gases were obtained from the nine patients. The PaCO2 was < or = 30 torr (< or = 4.0 kPa) in 38 of the samples. The PaCO2 to end-tidal CO2 gradient was < or = 4 torr (< or = 0.5 kPa) in 64 of 65 samples and 4.8 torr (0.6 kPa) in one sample. Linear regression analysis of arterial vs. end-tidal CO2 yielded a slope of 0.99, an r2 value of .97, and a p value of .0001. CONCLUSIONS: End-tidal CO2 measurement by infrared spectroscopy provides an accurate estimation of PaCO2, even during episodes of severe hypocarbia. Its use may limit the need for invasive monitoring and/or repeated arterial blood gas analyses.

Adolescent↗

Noninvasive monitoring of end-tidal CO2 via nasal cannulas in spontaneously breathing children during the perioperative period.

OBJECTIVE: To determine the correlation between end-tidal CO2 and PaCO2 values measured via nasal cannulas in spontaneously breathing children during the perioperative period. DESIGN: Prospective evaluation. SETTING: Pediatric intensive/intermediate care unit in a tertiary care referral center. PATIENTS: Thirty postoperative surgical and trauma patients aged < or = 18 yrs (average age 7.8 yrs [range 6 months to 16 yrs] and average weight 28.3 kg (range 8.5 to 69). MEASUREMENTS AND MAIN RESULTS: Spontaneously breathing, nonintubated patients with an arterial cannula in place were selected for study. End-tidal CO2 was sampled from nasal cannulas by a sidestream aspirator and was estimated by infrared spectroscopy. The difference between PaCO2 and end-tidal CO2 was compared using linear regression analysis. A total of 55 blood gas measurements were obtained on the 30 patients. The PaCO2 to end-tidal CO2 gradient was < or = 4 torr in 54 of the 55 samples. The mean PaCO2 was 39.5 +/- 3.3 torr (5.27 +/- 0.44 kPa) with a mean end-tidal CO2 value of 39.7 +/- 3.8 torr (5.29 +/- 0.51 kPa). Linear regression analysis of arterial vs. end-tidal CO2 yielded a slope of 0.992 and p = .0001. CONCLUSIONS: End-tidal CO2 measurement by infrared spectroscopy provided an accurate estimation of PaCO2 in this patient population. Its use may limit the need for invasive monitoring and/or repeated arterial blood gas analysis.

Adolescent↗

Testing for omitted variables and non-linearity in regression models for longitudinal data.

When fitting regression models to investigate the relationship between an outcome variable and independent variables of primary interest, there is often concern whether omitted variables or assuming a different functional relationship could have changed the conclusion or interpretation of the results. In longitudinal studies of aging, the concern with omitted variables is well known in the context of cohort and period effects, which refer to unmeasured variables systematically related to the individual's year of birth and secular trends in outcome, respectively. We present and compare three approaches to detecting omitted confounders and non-linearity in the random effects model for longitudinal data (Laird and Ware, 1982) with random slope and intercept across individuals. The first approach compares simple unweighted within and between regression coefficients, the second is the Hausman specification test for regression models, and the third approach involves testing directly the significance of functions of individual specific covariate means means i, in the random effects regression model. This last approach is motivated by the models that arise when cohort or period effects are ignored. We compare the three approaches, and illustrate their application.

Analysis of Variance↗

The influence of menopause and body mass index on serum leptin concentrations.

OBJECTIVE: The aim of this study was to evaluate the influence of menopausal status, serum estradiol and body mass index (BMI) on serum leptin concentration in a large sample of pre- and postmenopausal women. DESIGN: 434 healthy women (mean age +/-s.d., 52.2 +/- 10.3 years) were recruited at the University of Marburg on the occasion of a routine gynecological visit. Two hundred and eighteen (50.2%) women were premenopausal (mean age, 36.5 +/- 10.4 years) and not on oral contraceptives or hormone replacement therapy (HRT) and 216 (49.8%) women were postmenopausal (mean age 61.8 +/- 8.9 years) not on HRT. To evaluate the influence of menopausal status, estradiol level and BMI on serum leptin concentrations, women were allocated to one of the four groups: (a) premenopausal women BMI <25 kg/m(2) (n=137), (b) premenopausal women BMI >25 kg/m(2) (n=81), (c) postmenopausal women BMI <25 kg/m(2) (n=94) and (d) postmenopausal women BMI >25 kg/m(2) (n=122). RESULTS: Irrespective of the menopausal status, women with a BMI >25 kg/m(2) had significantly higher leptin concentrations in all age groups compared with women with a BMI <25 kg/m(2) (P<0.001). The multiple linear regression analyses showed that BMI was the only statistically significant independent predictor for leptin. In comparison to postmenopausal women, premenopausal women showed a significantly lower mean age, weight, BMI and FSH concentration (P<0. 001), a higher mean height and serum estradiol (P<0.01 and P<0.001 respectively) but significantly lower serum leptin concentration (P<0.01). The multiple linear regression model showed no significant influence of menopausal status or serum estradiol on serum leptin concentration, even after controlling for BMI. CONCLUSIONS: Serum leptin concentrations are significantly higher in pre- and postmenopausal obese women, compared with normal weight controls. Serum leptin concentrations are not influenced by menopausal status or serum estradiol level.

Adult↗

Balancing the benefits of primary angioplasty against the benefits of thrombolytic therapy for acute myocardial infarction: the importance of timing.

CONTEXT: A meta-analysis found that primary percutaneous transluminal coronary angioplasty (PTCA) was more effective than thrombolytic therapy in reducing mortality from acute myocardial infarction. However, fewer than 20% of U.S. hospitals have facilities to perform PTCA and many clinicians must choose between immediate thrombolytic therapy and delayed PTCA. COUNT: The number of minutes of PTCA-related delay that would nullify its benefits. CALCULATION: For 10 published randomized trials, we calculated the following: PTCA-related delay = median "door-to-balloon" time--median "door-to-needle" time Survival benefit = 30-day mortality after thrombolytic therapy--30-day mortality after PTCA The relationship between delay and benefit was assessed with linear regression. RESULTS: The reported PTCA-related delay ranged from 7 to 59 minutes, while the absolute survival benefit ranged from -2.2% (favoring thrombolytic therapy) to 7.4% (favoring PTCA). Across trials, the survival benefit decreased as the PTCA-related delay increased: For each additional 10-minute delay, the benefit was predicted to decrease 1.7% (P < 0.001). Linear regression showed that at a PTCA-related delay of 50 minutes, PTCA and thrombolytic therapy yielded equivalent reductions in mortality. CONCLUSIONS: In clinical trials with short PTCA-related delays, PTCA produced better outcomes, while trials with longer delays favored thrombolytic therapy. A more precise estimate of the time interval to equipoise between the two therapies needs to be modeled with patient-level data. At experienced cardiac centers, PTCA is probably still preferable, even with delays longer than 50 minutes.

Angioplasty, Balloon, Coronary↗

Accuracy of the EasyTouch blood glucose self-monitoring system: a study of 516 cases.

BACKGROUND: Self-monitoring blood glucose device is an important tool for diabetes patients to efficiently control their blood glucose concentrations. We evaluated the accuracy of EasyTouch glucose monitoring system. METHODS: Capillary blood glucose concentrations measured using EasyTouch and the reference values obtained from Yellow Springs Instruments (YSI) 2300 STAT were performed in the Department of Laboratory Medicine, Wei-Gong Memorial Hospital. Results were evaluated using (1) linear regression analysis, (2) Clarke Error Grid analysis, (3) percentage of readings within a defined range of deviation from the reference value, (4) bias plots, and (5) coefficients of variation (CVs) calculated from 60 measurements in series. RESULTS: The window of the 516 EasyTouch readings covered a range from 42 to 555 mg/dl. Linear regression analysis yielded a regression slope 0.9972, intercept 1.899 mg/dl, r2 0.9571, and Syx 14.89 mg/dl. A Clarke Error Grid analysis showed 100% of the EasyTouch readings in clinically acceptable zones A and B. Of the EasyTouch readings, 98.3%, 91.9%, 78.3% and 46.9% were found within +/-20%, +/-15%, +/-10%, and +/-5%, respectively, of the reference values. Further analysis showed that the percentage of EasyTouch readings within the defined intervals was similar in three glucose ranges (< or =100, 101-200, and > or =201 mg/dl). The CVs for the four lots of strips (lot 1 to lot 4) ranged from 3.5 to 5.5%, 2.1 to 4.8%, 1.8 to 3.6%, and 3.0 to 5.7%, respectively. CONCLUSIONS: EasyTouch provides high accurate and precise glucose readings over a wide range of glucose concentrations.

Blood Glucose↗

Residues of lindane in plasma and fat of sheep after dipping.

Ten 5-6 year-old unshorn ewes were dipped in a 0.025% lindane solution. Lindane residues in fat and plasma were analysed by gas liquid chromatography with an electron capture detector. The sensitivity of the method was 0.02 microgram/g for fat and 0.005 microgram/ml for plasma. Blood samples of 5 sheep were collected up to 84 days. The highest concentration of lindane detected in plasma was 107 +/- 37 ng/ml, 48 h after treatment. The disposition of lindane in plasma was studied by linear regression. Omental fat samples were removed by biopsies at 7 or 14 day intervals for 154 days. Fat concentrations of lindane were very high, respectively 30.46 +/- 14.6 ug/g, 8.09 +/- 4.57 micrograms/g, and 1.72 +/- 0.81 micrograms/g, 7, 28 and 70 days after dipping. In plasma and fat, the coefficients of elimination calculated by linear regression were similar (0.00190 +/- 0.00053 h-1 for plasma, 0.00196 +/- 0.00031 h-1 for fat). The tolerance recommended in France (2 micrograms/g in fat) was obtained 59.7 +/- 9.7 days after this treatment.

Adipose Tissue↗

Ozone predictions in Atlanta, Georgia: analysis of the 1999 ozone season.

Ozone prediction has become an important activity in many U.S. ozone nonattainment areas. In this study, we describe the ozone prediction program in the Atlanta metropolitan area and analyze the performance of this program during the 1999 ozone-forecasting season. From May to September, a team of 10 air quality regulators, meteorologists, and atmospheric scientists made a daily prediction of the next-day maximum 8-hr average ozone concentration. The daily forecast was made aided by two linear regression models, a 3-dimensional air quality model, and the no-skill ozone persistence model. The team's performance is compared with the numerical models using several numerical indicators. Our analysis indicated that (1) the team correctly predicted next-day peak ozone concentrations 84% of the time, (2) the two linear regression models had a better performance than a 3-dimensional air quality model, (3) persistence was a strong predictor of ozone concentrations with a performance of 78%, and (4) about half of the team's wrong predictions could be prevented with improved meteorological predictions.

Air Pollution↗

Correlation between frequency doubling technology and heidelberg retina tomograph.

PURPOSE: To evaluate the association between Heidelberg Retina Tomograph (HRT) parameters and the Frequency Doubling Technology (FDT) indices in ocular hypertension or primary open angle glaucoma patients. METHODS: One eye was randomly chosen from 85 patients with primary open angle glaucoma (abnormal visual field and/or abnormal optic nerve and untreated IOP > 21 mm Hg) and ocular hypertension (normal visual field and normal optic nerve and untreated IOP > 21 mm Hg). All the patients were examined with Humphrey Perimeter program 30-2 full threshold, FDT program C 20-5, and HRT. Findings were analyzed using Pearson's correlation coefficient and linear regression. RESULTS: Within the entire sample of studied subjects we found a statistically significant correlation (Pearson's r) (P < 0.05) between FDT mean deviation and RA, CA, RV, CSM, RNFLt, and RNFLc of HRT, and between FDT pattern standard deviation and RA, CA, VOLC, CV, RV, CSM, RNFLt, and RNFLc of HRT. Linear regression analysis showed that cup shape measure was the most predictive parameter for FDT MD. No correlation was found between HRT parameters and FDT PSD indices in the glaucoma subgroup; in the ocular hypertensive subgroup some correlation was found between FDT PSD and some of the HRT parameters. CONCLUSION: In the entire group, cup shape measure showed to be the most significant factor correlating functional and morphologic changes. The presence of significant correlations between some HRT parameters and visual field indices in the ocular hypertensive and glaucoma subgroup suggested that HRT parameters and FDT indices could detect glaucoma damage differently.

Glaucoma, Open-Angle↗

Serum aminotransferase activity as a predictor for estimation of total clearance of hepatically metabolized drugs in rats with acute hepatic failure.

The levels of serum aminotransferase activity, including aspartate aminotransferase (AST), in rats with acute hepatic failure at 24 h after an oral administration of CCl4 (0.01-0.5 ml/kg) were about 15-50 times higher (up to nearly 5000 IU/l) than those of vehicle control rats (about 85 IU/l). The values of total clearance (CL(tot)) of cyclosporin A, doxorubicin, tacrolimus and zonisamide in the CCl4-treated rats were decreased to about 1/2-1/3 of those in control rats. There were good correlations between AST activity and hepatic intrinsic clearance (CL(int)) (r=0.733-0.949) for the above drugs, as well as for chlorzoxazone, caffeine, lidocaine and tolbutamide after the intravenous administration of each drug in rats with acute hepatic failure. However, the slope of the linear regression equation, i.e., the ratio of decrease of CL(int) against increase of AST activity, differed markedly among these drugs. We found that there is a good correlation (r=0.953) between the values of the slope and the CL(int) of normal rats for these drugs, except for caffeine. In summary, the linear regression equation enables us to predict the decrease of CL(tot) in rats with acute hepatic failure to be predicted from the increase in serum AST activity. This approach may be useful as a guide for the dose modification of drugs for patients with acute hepatic failure.

Animals↗

Patterns of dietary intake and serum lipids interact with proteinuria as risk factors for progression of chronic renal failure.

UNLABELLED: This prospective study assessed the interactions between patterns of nutrient intake and serum lipids with other risk factors for progression of chronic renal failure. The study cohort consisted of 52 individuals with documented chronic renal failure, 18 women and 34 men, with a mean age of 65 +/- 11 years at the time of recruitment. The dependent variable was the rate of progression of chronic renal failure, which was determined by the slope of the curve generated from five or more values of the reciprocal of serum creatinine (SCr-1) and divided by time (in months of follow-up) for each patient, and recorded in dung/month. The independent variables included dietary factors (phosphorus, protein); serum lipids (total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides); proteinuria; serum phosphorus; serum albumin; serum glucose; and blood pressure. Serum creatinine was drawn in a fasting state and determined using the picric acid technique on five or more occasions for each patient. The mean monthly rate of decline in dL/mg/month was calculated for each patient. The cohort was followed for 1.5 years. Descriptive statistics were determined for all variables. Analysis of principal components was used to generate variables representing patterns of nutrient intake and serum lipids. The outcome variable was modeled using stepwise linear regression which included principal components representing dietary and serum lipid patterns. The Student's t test and the F test were used for hypothesis testing. All tests were significant at p < 0.05. RESULTS AND CONCLUSIONS: Multicolinearity prevented the inclusion of more than one individual dietary or serum lipid variable into the multiple linear regression model of rate of decline in kidney function. Principal components representing patterns of dietary intake and serum lipids, contributed to the prediction of rate of decline in renal function together with proteinuria.

Adolescent↗

Concurrent validity of upper-extremity volume estimates: comparison of calculated volume derived from girth measurements and water displacement volume.

BACKGROUND AND PURPOSE: The volume of all limbs can be determined by water displacement methods or calculations derived from girth measurements. The purpose of this study was to determine the concurrent validity of calculated volume and water displacement volume measurements. SUBJECTS: Both upper extremities of 14 women with lymphedema were measured. METHODS: Volumetric measurements were taken with a volumeter, and circumferential measurements were taken with a tape measure. Calculated volume was determined by summing segment volumes derived from the truncated cone formula. Pearson product moment correlations, paired t tests, and linear regression tests were used to assess relative association and absolute differences between calculated and actual volumes. RESULTS: The correlation coefficient for calculated volume versus upper extremity minus fingers (UE-F) water displacement volume was.99. Paired t tests showed differences between calculated volume and UE-F water displacement volume (t=-3.88, mean difference=-95.62 mL), and the linear regression slope was 0.83 with an intercept of 255.28 mL. DISCUSSION AND CONCLUSION: Calculated volume measurements were highly associated with measurements based on water displacement; therefore, clinicians should feel confident in using either calculated volume or water displacement volume. The differences, however, indicated that the measures were not interchangeable. Thus, clinicians should not mix or substitute measurement methods with a single patient or in a single study.

Adult↗

[The calculated reference value of the tubular extraction rate in infants and children: an attempt to use a new regression equation].

This study was designed to investigate the empirical tubular extraction rate (TER) of the normal renal function in childhood and then propose a new equation to obtain TER theoretically. The empirical TER was calculated using Russell's method for determination of single-sample plasma clearance and 99mTc-MAG3 in 40 patients with renal disease younger than 10 years of age who were classified as having normal renal function using diagnostic criteria defined by the Paediatric Task Group of EANM. First, we investigated the relationships of the empirical value of absolute TER to age, body weight, body surface area (BSA) and distribution volume. Next we investigated the relationships of the empirical value of BSA corrected TER to age, body weight, BSA and distribution volume. Linear relationship was indicated between the absolute TER and each body dimensional factors, especially regarding to BSA, its correlation coefficient was 0.90 (p value). The BSA-corrected TER showed a logarithmic relationship with BSA, but linear regression did not show any significant correlation. Therefore, it was thought that the normal value of TER could be calculated theoretically using the body surface area, and here we proposed the following linear regression equation: Theoretical TER (ml/min/1.73 m2) = (-39.8 + 257.2 x BSA)/BSA/1.73 The theoretical TER could be one of the reference values of the renal function in the period of the renal maturation.

Body Surface Area↗

[Prediction and estimation on molar response values of alkanes by using molecular path vector].

A new method based on a novel molecular topological index vector, called the molecular path vector (MPV), of alkane molecules is proposed and employed for estimation and prediction of the molar response values of various alkanes. The novel MPV, p = (P1, P2, P3, P4, P5, P6, P7, P8, P9, P10)', which derived directly from the interaction terms of molecular graph, is used to characterize well molecular structures of all alkanes from one through ten or eleven carbon atoms. It showed that there exists very good correlation between the MPV elements and molar response values on both FID and TCD detectors in classical gas chromatography. Based on the given calibration set with different sample numbers and by using the practical multiple linear regression, the quantitative structure-response relationship (QSRR) equations, for the molar response values (SM) on both FID and TCD, are respectively given as follows: SM(FID) = 15.4004881 + 17.9905995 X1 - 0.1652116 X2 - 0.6974103 X3 - 0.8452390 X4 - 0.2671000 X5 - 1.5657273 X6 + 0.0944440 X7, n = 50, m = 7, r = 0.9976, ST = 26.132, SR = 1.965 1, Ev = 99.72%, RMS = 1.801, F = 1231.71 SM(TCD) = 11.9946996 + 29.1490916 X1 - 4.7451669 X2 - 3.7673385 X3 - 1.4948330 X4 - 1.6278831 X5 - 0.7934611 X6 - 3.0566093 X7, n = 32, m = 7, r = 0.9968, ST = 15.72, SR = 1.4310, Ev = 99.59%, RMS = 1.239, F = 531.227 where the independent descriptor variables, X1-X7, refer to the elements, P1, P2, P3, P4, P5, P6, P7 in the molecular path vector for all samples in both FID and TCD training sets; n, r, ST, SR, Ev, RMS and F are the sample number, regression coefficient, total standard deviation, standard residual deviation, explained variance, rooted mean squared error and F-statistic value, respectively. To test both models by using back-propagation neural network (BPNN) with the topological structure NN(7-4-2) and the cross validation through leave-one-out (LOO) procedure, the correlation coefficient of cross validation is over 0.96. Because there exists a quite good linear relationship between the molar responses and molecular path parameters, BPNN (r = 0.989 and 0.968) does not show its nonlinear advantage over multiple linear regression(MLR) (r = 0.9976 and 0.9968) in both presently examined cases, FID and TCD in the GC technique, for molecular modelling and quantitative prediction.

Alkanes↗

Potency ranking of methemoglobin-forming agents.

This study represents the first systematic attempt to rank methemoglobin-forming agents. It is a quantitative potency ranking study utilizing linear regression analysis of dose-response data for comparative purposes. Six agents that are direct-acting and eight that require bioactivation were tested for their ability to induce methemoglobin formation in Dorset sheep erythrocytes under defined in vitro conditions. The agents were then ranked according to three complementary methods based on the slope of the linear regression, the calculated dose expected to induce a given amount of methemoglobin formation and the calculated percentage methemoglobin response induced by 1 mmol l-1 of the agent. The direct-acting agents, ranked from most to least potent inducers of methemoglobin formation, are: p-dinitrobenzene > o-dinitrobenzene > copper = nitrite > chlorite > chlorate. The ranking from most to least potent inducers of the bioactivated agents are: alpha-naphthol > p-nitroaniline > m-nitroaniline, o-nitroaniline > p-nitrotoluene = aniline > m-nitrotoluene = o-nitrotoluene. The ranking procedures are discussed and issues of interindividual variation and agent-specific sensitivities are addressed.

Analysis of Variance↗