Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age
碩士 === 高雄醫學大學 === 藥學研究所 === 97 === ABSTRCT Aim: The aim of this study attempted to find an optimal ceiterion which could be used to screen out all possible patient’s whose eGFR was below 50 mL/min. The method was hopefully to screen more than 80% patients whose eGFRs were less than 50 mL/min and the...
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ndltd-TW-097KMC055510292015-11-13T04:09:13Z http://ndltd.ncl.edu.tw/handle/33172506852989655395 Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age 利用病患血清肌酸酐檢測值與年齡來適當化一種腎功能的線上篩選方法 Hsiu-Hua Tung 董秀花 碩士 高雄醫學大學 藥學研究所 97 ABSTRCT Aim: The aim of this study attempted to find an optimal ceiterion which could be used to screen out all possible patient’s whose eGFR was below 50 mL/min. The method was hopefully to screen more than 80% patients whose eGFRs were less than 50 mL/min and the leastof patients whose eGFRs were greater than 50 mL/min. Also this method should be easy to implement into hospital mainframe computer as alertingfunction that could give warningto clinicians when the criterion was met. Methods: We collected all clinical data from September, 2008 to January, 2009 from inpatients population who were using antimicrobials and Scr≧1.0 mg/dL in a hospital. Estimated glomerular filtration rate (e-GFR) was calculated with both Cockcroft-Gault (CG) equation and Modification of Diet in Renal Disease Study Equation (MDRD4). We then set eGFR-CG or eGFR-MDRD4 as the standard indexes to explore the optimal age and Scr for patient’s renal function when patients’s body weights were not available. Results: There were 7,381 patients’ data collected in this study with male patients69%, mean age64.9 years old, mean body weight 61.9 kg, mean eGFR-CG 41.9 mL/min and eGFR-MDRD4 was 50.1 mL/min/1.73m2. There were 4,895 patients whose eGFR-CG was less than 50 mL/min. If we used Scr >1.5mL/min as the cutting-off point, we only screened out 2,525 (51.6%) patients.When we used age older than 65 as the cut-off point, only 3,754 (76.7%) patients would be screened out. However, more than 80% of patients whose eGFR-CG were less than 50 mL/min, If we applied both the age and Scr level as the screening criteria. The optimal cut-off pointwas both patient’s age older than 54 years and patient’s Scr ≧1.1 mg/dL. However the cut-off would be different (i.e., patient’s age was greater than 58 years old and patient’s Scr ≧1.2 mg/dL), when using eGFR-MDRD4 as the standard index. Conclusions: Our study showed that solely using Scr>1.5 mg/dl as the screening index of CKD could be seriously underestimated for almost 50% of patients whose eGFRs were less than 50 mL/min. We finally proposed that using both Age ≧ 54 years and Scr≧1.1 mg/dL would be the most efficient method for screening CKD patients. Key words: Creatinine, Estimated Glomerular Filtration rate (e-GFR), Cockcroft-Gault (CG) Equation, Modification of Diet in Renal Disease Study Equation (MDRD). Yung-Jin Lee 李勇進 2009 學位論文 ; thesis 146 zh-TW |
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碩士 === 高雄醫學大學 === 藥學研究所 === 97 === ABSTRCT
Aim:
The aim of this study attempted to find an optimal ceiterion which could be used to screen out all possible patient’s whose eGFR was below 50 mL/min. The method was hopefully to screen more than 80% patients whose eGFRs were less than 50 mL/min and the leastof patients whose eGFRs were greater than 50 mL/min. Also this method should be easy to implement into hospital mainframe computer as alertingfunction that could give warningto clinicians when the criterion was met.
Methods:
We collected all clinical data from September, 2008 to January, 2009 from inpatients population who were using antimicrobials and Scr≧1.0 mg/dL in a hospital. Estimated glomerular filtration rate (e-GFR) was calculated with both Cockcroft-Gault (CG) equation and Modification of Diet in Renal Disease Study Equation (MDRD4). We then set eGFR-CG or eGFR-MDRD4 as the standard indexes to explore the optimal age and Scr for patient’s renal function when patients’s body weights were not available.
Results:
There were 7,381 patients’ data collected in this study with male patients69%, mean age64.9 years old, mean body weight 61.9 kg, mean eGFR-CG 41.9 mL/min and eGFR-MDRD4 was 50.1 mL/min/1.73m2. There were 4,895 patients whose eGFR-CG was less than 50 mL/min. If we used Scr >1.5mL/min as the cutting-off point, we only screened out 2,525 (51.6%) patients.When we used age older than 65 as the cut-off point, only 3,754 (76.7%) patients would be screened out. However, more than 80% of patients whose eGFR-CG were less than 50 mL/min, If we applied both the age and Scr level as the screening criteria. The optimal cut-off pointwas both patient’s age older than 54 years and patient’s Scr ≧1.1 mg/dL. However the cut-off would be different (i.e., patient’s age was greater than 58 years old and patient’s Scr ≧1.2 mg/dL), when using eGFR-MDRD4 as the standard index.
Conclusions:
Our study showed that solely using Scr>1.5 mg/dl as the screening index of CKD could be seriously underestimated for almost 50% of patients whose eGFRs were less than 50 mL/min. We finally proposed that using both Age ≧ 54 years and Scr≧1.1 mg/dL would be the most efficient method for screening CKD patients.
Key words: Creatinine, Estimated Glomerular Filtration rate (e-GFR), Cockcroft-Gault (CG) Equation, Modification of Diet in Renal Disease Study Equation (MDRD).
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author2 |
Yung-Jin Lee |
author_facet |
Yung-Jin Lee Hsiu-Hua Tung 董秀花 |
author |
Hsiu-Hua Tung 董秀花 |
spellingShingle |
Hsiu-Hua Tung 董秀花 Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
author_sort |
Hsiu-Hua Tung |
title |
Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
title_short |
Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
title_full |
Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
title_fullStr |
Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
title_full_unstemmed |
Optimizing an Online Screening Approach for Renal Function Estimation with Patient''s Serum Creatinine and Age |
title_sort |
optimizing an online screening approach for renal function estimation with patient''s serum creatinine and age |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/33172506852989655395 |
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