Cerebral oxygenation improvement is associated with hemoglobin increase after hemodialysis initiation

2020 ◽  
Vol 43 (11) ◽  
pp. 695-700
Author(s):  
Kiyonori Ito ◽  
Susumu Ookawara ◽  
Yuichiro Ueda ◽  
Haruhisa Miyazawa ◽  
Takayuki Uchida ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Serum Albumin ◽  
Near Infrared ◽  
Cerebral Oxygenation ◽  
Linear Regression Analysis ◽  
Albumin Level ◽  
Hemoglobin Level ◽  
Multivariate Linear Regression Analysis ◽  
Clinical Parameters

Introduction: Near-infrared spectroscopy has been used to measure the regional oxygen saturation (rSO2) of the brain, and decreases in cerebral rSO2 have been reported to lead to cognitive impairment in patients undergoing hemodialysis. However, reports about the association between changes in cerebral oxygenation and clinical parameters at hemodialysis initiation, including hemoglobin level, are lacking. Methods: This study included 33 patients at the hemodialysis initiation phase. Cerebral rSO2 was monitored using an INVOS 5100C. Included patients were assessed twice (at hemodialysis initiation and 42.7 ± 20.8 days after the first measurement), and changes in cerebral rSO2 were compared with changes in clinical parameters. Results: Cerebral rSO2 at the second measurement significantly increased compared with that at hemodialysis initiation (57.2 ± 6.8% vs 54.4 ± 8.8%, p < 0.05). Changes in cerebral rSO2 represented a significant correlation with changes in hemoglobin level, pulse rate, and serum albumin level. Multivariate linear regression analysis was performed using significant factors in simple linear regression analysis. Changes in hemoglobin (standardized coefficient: 0.37) and serum albumin (standardized coefficient: 0.45) levels were identified as independent factors influencing the changes in cerebral rSO2. Conclusion: Cerebral rSO2 was low in the presence of low hemoglobin levels at hemodialysis initiation and improved in response to hemoglobin increase in addition to changes in serum albumin levels. Attention should be paid to changes in hemoglobin levels even at hemodialysis initiation to prevent the deterioration of cerebral oxygenation, and this might contribute to the maintenance of cognitive function in patients undergoing hemodialysis.

Estimation of Alanine and Glycine in Cane Juice Using Near Infrared Spectroscopy

2007 ◽  
Vol 3 (1) ◽  
Author(s):  
Aamarpali Ratna Puri
Keyword(s):  
Amino Acids ◽  
Regression Analysis ◽  
Infrared Spectroscopy ◽  
Linear Regression ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Linear Regression Analysis ◽  
Partial Least Square ◽  
Multivariate Linear Regression Analysis ◽  
Cane Juice

The ICUMSA or AOAC (Association of Official Agricultural Chemists) traditional test methods for testing individual constituents, pol and brix, are time consuming, operator dependent and involve the use of hazardous chemicals. The increased awareness of environmental and health topics makes it desirable to avoid the clarification of cane juice with basic lead acetate. Widely used in the food and agricultural industries, Near Infrared Spectroscopy NIR has now made considerable inroads into the more lengthy and wet chemistry procedures. Near Infrared is the region of combination bands and overtones due to interatomic forces. Hydrogenic atoms being the lightest vibrate within the near infrared region due to N-H, O-H and C-H groups. These are common atoms present within most food products. As near infrared wavelengths are specific, individual components can be identified so it can be used for quantitative analysis of phosphates, silicates and amino acids in cane juice. Amino acids are important as they, along with other nitrogenous bodies, react with reducing sugars to form colored compounds. Analyzing amino acids in a sample can help solve color problem in sugar. Alanine and glycine are commonly found amino acids in sugarcane. In the present research the online estimation of alanine and glycine is done in cane juice using Near-Infrared spectroscopy. Near Infrared Spectrophotometer of Elico (India) range (600-2500nm) has been used in its transmittance mode in conjunction with two multivariate calibration procedures, i.e., Partial Least Square Regression analysis (PLSR) and Stepwise Multivariate Linear Regression analysis (SMLR) for the analysis of alanine and glycine in cane juice. Multi linear regression analysis was also carried out to find out the most correlating wavelengths along with the standard deviation.

Clinical factors affecting cerebral oxygenation in patients undergoing peritoneal dialysis

2021 ◽  
pp. 039139882110200
Author(s):  
Taisuke Kitano ◽  
Kiyonori Ito ◽  
Susumu Ookawara ◽  
Taro Hoshino ◽  
Hideyuki Hayasaka ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Peritoneal Dialysis ◽  
Linear Regression ◽  
Serum Albumin ◽  
Cerebral Oxygenation ◽  
Linear Regression Analysis ◽  
Albumin Concentration ◽  
Healthy Controls ◽  
Serum Albumin Concentration ◽  
Factors Affecting

Background: Although cerebral regional oxygen saturation (rSO2) is significantly lower in hemodialysis (HD) patients than that in healthy controls, investigations on cerebral oxygenation in peritoneal dialysis (PD) patients are limited. We aimed to confirm the cerebral oxygenation status and identify the factors affecting cerebral rSO2 in PD patients. Methods: Thirty-six PD patients (21 men and 15 women; mean age, 62.8 ± 12.7 years) were recruited. In addition, 27 healthy volunteers (17 men and 10 women; mean age, 43.5 ± 18.8 years) were recruited as a control group. Cerebral rSO2 was monitored at the forehead using an INVOS 5100c oxygen saturation monitor. Results: Cerebral rSO2 was significantly lower in PD patients than that in healthy controls (57.0 ± 7.3% vs 68.9 ± 8.6%, p < 0.001); moreover, cerebral rSO2 was significantly correlated with natural logarithm (Ln)-PD duration ( r = −0.389, p = 0.019) and serum albumin concentration ( r = 0.370, p = 0.026) in a simple linear regression analysis. Multivariable linear regression analysis was performed using variables that showed a significant correlation and p < 0.20 (serum creatinine, serum sodium, Ln-C-reactive protein, and dosage of erythropoiesis-stimulating agent) with the cerebral rSO2. Cerebral rSO2 was independently associated with Ln-PD duration (standardized coefficient: −0.339) and serum albumin concentration (standardized coefficient: 0.316). Conclusions: Cerebral rSO2 was significantly affected by the PD duration and serum albumin concentration. Further prospective studies are needed to clarify whether preventing a decrease in serum albumin concentration leads to the maintenance of cerebral oxygenation in patients undergoing PD.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals Relationship between Thyroid and Kidney Function: Analysis from the Korea National Health and Nutrition Examination Survey Between 2013 and 2015

2020 ◽  
Vol 45 (3) ◽  
pp. 442-454 ◽  
Author(s):  
Sang Hyuk Kim ◽  
Hyang Ki Min ◽  
Sung Woo Lee
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Kidney Function ◽  
Thyroid Function ◽  
Direct Effect ◽  
National Health ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Health And Nutrition

Introduction: Thyroid function is evaluated by thyroid stimulating hormone (TSH) and free thyroxine (fT4). Although many studies have indicated an intimate relationship between thyroid hormones and kidney functions, reports about the simultaneous evaluation of TSH and fT4 are rare. Objective: We aimed to analyze the association between TSH and kidney function, with emphasis on a potential nonlinear relationship, and identify an independent relationship between fT4 and kidney function. Methods: We reviewed the data of 7,061 subjects in the Korea National Health and Nutrition Examination Surveys who were randomly subsampled for thyroid function evaluation between 2013 and 2015. A total of 5,578 subjects were included in the final analysis, after excluding people <18 years old, and those with a short fasting time, abnormal fT4 levels, and thyroid disease or related medications. Creatinine-based estimated glomerular filtration rate (eGFR) was used to define kidney function. Results: A 1 mmol/L increase of logarithmic TSH was associated with decreased eGFR (β: –1.8; 95% CI –2.3 to –1.2; p < 0.001), according to multivariate linear regression analysis. On the multivariate generalized additive model plot, TSH demonstrated an L-shaped relationship with eGFR, showing a steeper slope for 0–4 mIU/L of TSH. A 1 µg/dL increase of fT4 was also associated with decreased eGFR (β: –7.0; 95% CI –0.94 to –4.7; p < 0.001) on the multivariate linear regression analysis; this association was reversed after adjusting for age. On the mediation analysis, the indirect effect via age and direct effect per 1 µg/dL increase of fT4 on eGFR was 9.9 (8.1 to 11.7, p < 0.001) and –7.1 (–9.3 to –4.8, p < 0.001), respectively. Conclusions: Increased TSH was associated with decreased eGFR, particularly in the reference range. The direct effect of increased fT4 was decreased eGFR, which may be affected indirectly by age.

Relative contribution of various expressions of cAMP excretion to other indices of parathyroid function, as tested by discriminant multivariate linear regression analysis.

1986 ◽  
Vol 32 (7) ◽  
pp. 1279-1284 ◽  
Author(s):  
J Valsamis ◽  
J Van Peborgh ◽  
H Brauman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Adenosine Monophosphate ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Amino Terminal ◽  
Relative Contribution ◽  
Parathyroid Function ◽  
Glomerular Filtrate

Abstract We evaluated the relative contribution to the diagnosis of hyperparathyroid disease from current laboratory indices of parathyroid function--plasma calcium (I), phosphate (II), carboxy-terminal (III) and predominantly amino-terminal (IV) radioimmunoassays of parathyrin, the urinary excretion ratios of cyclic adenosine monophosphate (cAMP) to creatinine (V) or to glomerular filtrate (VI), and the ratio of the nephrogenous fraction of cAMP to glomerular filtrate (VII)--in 224 subjects: 40 with surgically proven hyperparathyroid disease, the others normoparathyroid. The decreasing order of sensitivity was I greater than VI greater than VII greater than V greater than III greater than IV greater than II; all these indices differed significantly between normoparathyroid and hyperparathyroid patients. The decreasing order of specificity was VII, III greater than I greater than IV greater than V, II greater than VI. Discriminant multivariate linear regression analysis was performed in a subset of 58 subjects (17 hyper- and 41 normoparathyroid) from the population studied here, chosen because all of the laboratory indices were determined for each subject. The classification accuracy was 98.3% for combining I, VII, and III (r = 0.908), or I and V (r = 0.893), or I and VII (r = 0.889). The other variables did not add to the precision of classification.

scholarly journals FRAX® Fracture Risks Are Associated with Coronary Artery Calcification Score

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tzyy-Ling Chuang ◽  
Yi-Da Li ◽  
Fu-Tsung Hsiao ◽  
Mei-Hua Chuang ◽  
Yuh-Feng Wang
Keyword(s):  
Regression Analysis ◽  
Coronary Artery ◽  
Linear Regression ◽  
Fracture Risk ◽  
Coronary Artery Calcification ◽  
Assessment Tool ◽  
Clinical Laboratory ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density

Purpose. To examine the association between fracture risk assessment tool (FRAX) scores and coronary artery calcification (CAC) score in adults. Methods. The medical records of 81 adults who underwent both coronary computed tomography and bone mineral density (BMD) studies in a package during their health exams were reviewed at a regional hospital in Southern Taiwan. Data collected included health history, anthropomorphic characteristics, clinical laboratory results, and BMD. Fracture risk was determined using FRAX. Univariate and multivariate linear regression analysis were used to assess the association between CAC score and 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) determined by FRAX. Results. The mean age of the patients was 55.8 years, and 63.0% were male. Univariate linear regression analysis showed that increases in MOF and HF risks, as measured by FRAX, were significantly and positively associated with CAC score. Multiple linear regression analysis adjusting for potential confounders showed that CAC score remained significantly associated with four FRAX indicators, including right MOF (r=0.45, P<0.001), left MOF (r=0.31, P=0.021), right HF (r=0.38, P=0.001), and left HF (r=0.23, P=0.049). Conclusions. Increased risks of MOF and HF as determined by FRAX were significantly and independently associated with CAC score.

scholarly journals Association Between Bone Mineral Density And Serum Creatinine In People < 46 Years Old

2021 ◽  
Author(s):  
Yanru Guo ◽  
Xianyang Zhu
Keyword(s):  
Bone Mineral Density ◽  
Regression Analysis ◽  
Linear Regression ◽  
Serum Creatinine ◽  
Bone Mineral ◽  
Linear Regression Analysis ◽  
Lumbar Bone Mineral Density ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density ◽  
The Relationship

Abstract Purpose: To research the relationship between serum creatinine and lumbar bone mineral density in people aged <46 years. Methods: A total of 10,968 subjects from the American Nhanes database were included in this cross-sectional study, including 5,744 males (mean age 26.2 years) and 5224 females (mean age 26.7 years). The exposure factor is the serum creatinine value, and the outcome indicator is the lumbar bone mineral density. This study mainly used multivariate linear regression analysis to test the relationship between lumbar bone mineral density and serum creatinine. Results: In the multivariate linear regression analysis, serum creatinine was positively correlated with lumbar bone mineral density (β = 0.122, 95%CI: 0.047-0.198), but in the subgroup analysis stratified by sex, this positive correlation only exists in the female population (Β = 0.186, 95%CI: 0.070-0.301).Conclusions: Our study found that in women aged <46 years with normal renal function, there is a positive correlation between serum creatinine and lumbar BMD. And in those people, the determination of serum creatinine can provide a sensitive biomarker for the early identification and treatment of Osteopenia or osteoporosis.

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