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Multiple Linear (multiple + linear)

Distribution by Scientific Domains
Medical Sciences75%

Terms modified by Multiple Linear

  • multiple linear regression
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  • multiple linear regression analysis
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  • multiple linear regression models
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    Selected Abstracts

    Uses of proton pump inhibitors and serum potassium levels,

    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 9 2009
    Jen-Tzer Gau MD
    Abstract Purpose Proton pump inhibitor (PPI) may suppress adrenal cortical steroid synthesis and release, thereby leading to electrolyte disturbances. Both hyponatremia and hyperkalemia in the setting of PPI therapy have been documented in case reports. The objective of this study was to examine the association between serum potassium (K+) level and PPI use. Methods A retrospective data analysis of hospitalized adults aged ,65 years during 2006, including PPI users (N,=,257) and PPI non-users (N,=,388), was conducted. Multiple linear and logistic regression analyses were used to assess the association between PPI use and serum K+ level. Results PPI users [mean age (SD):79.7 (8.0) years; 70% female] had significantly higher serum K+ levels than PPI non-users [80.2 (8.8) years; 64% female] on admission [4.13 (0.62) vs. 3.97 (0.57) mmol/L; p,<,0.001]. The linear regression model revealed that ,2 defined daily dose (DDD) units of PPI use were a significantly positive contributor to serum K+ levels (p,=,0.021) after adjusting for age, serum creatinine levels, sex, history of diabetes, and uses of the following drugs: angiotensin-converting enzyme (ACE) inhibitor, angiotensin receptor blocker, , blocker, diuretics, spironolactone, K+ supplement, non-steroidal anti-inflammatory drugs, atypical antipsychotics, and narcotics. However, multiple logistic regression model revealed that high dose PPI therapy was not associated with an increased risk for hyperkalemia occurrence (p,=,0.762). Conclusion Higher serum K+ levels were observed among PPI users when compared to PPI non-users. High daily dose PPI therapy may be an independent positive predictor of serum potassium levels. Copyright © 2009 John Wiley & Sons, Ltd. [source]

    Predicting ready biodegradability in the Japanese ministry of international trade and industry test

    ENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 10 2000
    Jay Tunkel
    Abstract Two new predictive models for assessing a chemical's biodegradability in the Japanese Ministry of International Trade and Industry (MITI) ready biodegradation test have been developed. The new methods use an approach similar to that in the existing BIOWIN© program, in which the probability of rapid biodegradation is estimated by means of multiple linear or nonlinear regression against counts of 36 chemical substructures (molecular fragments) plus molecular weight (mol wt). The data set used to develop the new models consisted of results (pass/no pass) from the MITI test for 884 discrete organic chemicals. This data set was first divided into randomly selected training and validation sets, and new coefficients were derived for the training set using the BIOWIN fragment library and mol wt as independent variables. Based on these results, the fragment library was then modified by deleting some fragments and adding or refining others, and the new set of independent variables (42 substructures and mol wt) was fit to the MITI data. The resulting linear and nonlinear regression models accurately classified 81% of the chemicals in an independent validation set. Like the established BIOWIN models, the MITI models are intended for use in chemical screening and in setting priorities for further review. [source]

    Alcohol consumption and periodontal disease

    JOURNAL OF CLINICAL PERIODONTOLOGY, Issue 7 2004
    Nutrition Examination Survey, The Third National Health
    Abstract Objective: This study was carried out to evaluate the effect of alcohol consumption on the severity of periodontal disease. Material and Methods: This cross-sectional study employed 13,198 subjects of the Third National Health and Nutrition Examination Survey (NHANES III) aged 20 and older who have at least six natural teeth. Alcohol intake was represented both as a continuous variable and dichotomized using 5, 10, 15, and 20 drinks/week as cut-points. Periodontal disease was represented by clinical attachment loss (CAL) and was assessed both as a continuous variable and dichotomized as <1.5 mm and 1.5 mm. Independent effect of alcohol on CAL was assessed by weighted multiple linear and logistic regression analyses adjusting simultaneously for the effects of age, gender, race, education, income, smoking, diet, diabetes, gingival bleeding, number of remaining teeth. Results: There was a significant linear relationship between number of drinks per week and log CAL (p=0.0001). Odds ratios for the risk of attachment loss using 5, 10, 15, and 20 drinks/week as cut-points were 1.22 [1.02,1.47], 1.39 [1.13,1.71], 1.54 [1.22,1.93], and 1.67 [1.25,2.23], respectively. Conclusion: Alcohol consumption may be associated with increased severity of CAL in a dose-dependent fashion. Prospective studies and studies of mechanism are needed to confirm the role of alcohol as a risk factor for periodontal disease. [source]

    Nasal congestion index: A measure for nasal obstruction

    THE LARYNGOSCOPE, Issue 8 2009
    Thomas Kjaergaard MD
    Abstract Objectives: The relationship between congestion of the nasal mucosa and subjective nasal obstruction remains poorly defined. Applying the novel Nasal Congestion Index (NCI), we compared subjective nasal obstruction with objective measures for reversible congestion of the nasal mucosa. Study Design: A total of 2,523 consecutive patients were included in this cross-sectional study. Eligible subjects were adults referred to the ENT department, Sørlandet Hospital, Kristiansand, Norway, for evaluation of chronic nasal or sleep-related complaints. Methods: Subjects underwent acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) at baseline and after decongestion of the nasal mucosa. Based on these registrations, an NCI was calculated for minimal cross-sectional area (MCA), nasal cavity volume (NCV), and PNIF, and employed for quantification of reversible mucosal congestion. Subjective nasal obstruction was measured by nasal obstruction visual analogue scales (NO-VAS). Statistical analyses were based on ANOVA and multiple linear and logistic regression, adjusting for age, gender, body mass index, asthma, allergy, smoking history, and type of planned intervention. Results: Crude estimates indicated that the NCIs were significantly higher in subjects with severe complaints of nasal obstruction compared with subjects with lesser symptoms (P < .001). These associations were confirmed by linear and logistic regression analyses. NCI for MCA, NCV, and PNIF showed highly significant associations with subjective nasal obstruction (P < .001). Conclusions: We have clearly demonstrated an association between subjective nasal obstruction and reversible congestion of the nasal mucosa by employing the NCI. The measure has proven to be useful for evaluating patients with complaints of nasal obstruction. Laryngoscope, 2009 [source]