scholarly journals Creatinine clearance rate and serum creatinine concentration are related to delayed methotrexate elimination in children with lymphoblastic malignancies

Neoplasma ◽  
2014 ◽  
Vol 61 (01) ◽  
pp. 77-82 ◽  
Author(s):  
J. Mao ◽  
L. Zhang ◽  
H. Shen ◽  
Y. Tang ◽  
H. Song ◽  
...  
1997 ◽  
Vol 1 (2) ◽  
pp. 110-114 ◽  
Author(s):  
Masaru Horio ◽  
Yoshimasa Orita ◽  
Shiro Manabe ◽  
Mitsuhiko Sakata ◽  
Megumu Fukunaga

2015 ◽  
Vol 7 (2) ◽  
pp. 108-113
Author(s):  
Mofazzal Hossain ◽  
HI Lutfur Rahman Khan ◽  
Abdul Wadud Chowdhury ◽  
Abu Sadique Abdullah ◽  
Md Gaffar Amin ◽  
...  

Background: In epidemiological studies and clinical trials renal function has been shown to be an independent predictor of coronary artery disease (CAD). We conducted this study to find out the association between creatinine clearance rate (CCr) and coronary angiographic severity in patients with (CAD). Method: It was a cross sectional study carried out in the department of Cardiology, Dhaka Medical College Hospital, Dhaka during the period of April, 2011 to March, 2012. All the patients with Ischaemic heart disease (IHD) admitted in the department of Cardiology who fulfill the inclusion and exclusion criteria and underwent coronary angiogram were taken as sampling population. Sampling technique was purposive and sample size was 118. By Cockcroft-Gault formula, CCr was estimated from serum creatinine. Coronary angiographic severity of coronary artery disease was assessed by vessel score and stenosis score. Statistical analysis was carried out by descriptive statistics, correlation coefficient test and one way ANOVA test. Level of significance was set at 0.05. Results: Mean CCr among study subjects was 72.57 ± 17.78 ml/min. Vessel score showed 18.6% had normal coronaries, 37.3% single vessel disease, 31.4% double vessel disease and 12.7% triple vessel disease. There was significant positive relationship between serum creatinine and vessel score, and also negative relationship between CCr and vessel score. The study also showed significant negative correlation between CCr and stenosis score. Conclusion: Angiographic severity of coronary artery disease is associated with degree of renal dysfunction. Decreased creatinine clearance is associated with more extensive CAD. DOI: http://dx.doi.org/10.3329/cardio.v7i2.22257 Cardiovasc. j. 2015; 7(2): 108-113


1985 ◽  
Vol 19 (5) ◽  
pp. 385-390 ◽  
Author(s):  
Moses Sing Sum Chow ◽  
Robert Schweizer

The accuracy of different methods of calculating 24-hour creatinine clearance in patients with unstable renal function was compared using simulated data (based on a one-compartment pharmacokinetic model), as well as data from postrenal transplant patients. When creatinine clearance was calculated from the urinary creatinine excretion and a serum creatinine concentration, the use of the midpoint serum creatinine concentration produced the lowest degree of error. Therefore, this method is recommended for routine clinical determination of creatinine clearance in such patients. When the urinary creatinine excretion was unknown, an iteration method produced the lowest degree of error among four methods, and therefore is recommended to estimate creatinine clearance in such patients.


1981 ◽  
Vol 30 (3) ◽  
pp. 414-421 ◽  
Author(s):  
Thierry Hallynck ◽  
Hans H Soep ◽  
Jozef Thomis ◽  
Johann Boelaert ◽  
Roger Daneels ◽  
...  

1978 ◽  
Vol 24 (7) ◽  
pp. 1167-1169 ◽  
Author(s):  
B C Shull ◽  
D Haughey ◽  
J R Koup ◽  
T Baliah ◽  
P K Li

Abstract A practical method for predicting creatinine clearance for pediatric patients from serum creatinine concentration and patient age is presented. Creatinine excretion rate (ER) can be predicted from the patient's age, in years, by the formula: ER = (0.035 X age) + 0.236. Using the predicted excretion rate and serum creatinine concentration, creatinine clearance can be predicted. There was good correlation (r = 0.90) between predicted and observed creatinine clearances in 101 subjects with various degrees of renal impairment. This method allows renal function to be rapidly estimated.


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