5%) had hypertension, 07 (13.5%) had diabetes, mellitus, 04 (7.7%) had renal disease 03 (5.8%) had liver disease and 15 (28.8%) had arthralgia 07 (13.5%), 14 had gastrointestinal problems (46.1%), 07 (13.5%) had headache/migraine, 02 (3.8%) had suffered hemiparesis. Mean blood pressure was 133.99 ± 40.89/82.76 ± 27.79 mmHG in males and 132.10 ± 16.20/ 83.46 ± 7.85 mmHG in females. Based on American Heart Association classification for hypertension, 19 patients had normal blood pressure, 8 were in
prehypertensive stage, 16 patients were in hypertension stage 1, 6 were in hypertension stage 2 and 2 had crisis hypertension. Mean serum creatinine for males was 0.94 ± 0.14 and 0.91 ± 0.84 for females. Mean of BIA derived TBW was 33.7 ± 6.6 and that derived using selleck compound equation was 34.8 ± 6.18. There was no statistically significant difference between the two (F 0.001, t 1.317 and p 0.189). Mean creatinine clearance was 97.39 ± 28.98
in males and107.60 ± 34.03 in females, GFR was74.1 ± 25.98 ml/min/1.73 m2 in males and 65.17 ± 21.14 ml/min1.73 m2 in females. Based on GFR we classified subjects into chronic kidney stages (CKD) 1–5. Out of 52 subjects 8 were in CKD stage 1, 23 were in CKD stage 2, 18 were in CKD Everolimus mw stage 3, 1 each in CKD stage 4 and CKD stage 5 respectively. Conclusion: Since there was no significant difference in total body water calculated by BIA and Hume’s equation, therefore, BIA can be safely used for estimating water compartments in healthy and in diseased subjects and as a tool for screening general population for presence of chronic kidney disease. OKADA RIEKO1,2,3,4, YASUDA YOSHINARI2, TSUSHITA KAZUYO3,
WAKAI KENJI1, HAMAJIMA NOBUYUKI4, MATSUO SEIICHI2 1Preventive Medicine, Pregnenolone Nagoya University; 2Nephrology /CKD Initiatives, Nagoya University; 3Comprehensive Health Science Center, Aichi Health Promotion Foundation; 4Young Leaders’ Program in Health Care Administration, Nagoya University Introduction: Renal hyperfiltration (early-stage kidney damage) and hypofiltration (late-stage kidney damage) are common in populations at high risk of chronic kidney disease. This study investigated the associations of renal hyperfiltration and hypofiltration with the number of metabolic syndrome (MetS) components. Methods: The study subjects included 205,382 people aged 40–74 years who underwent Specific Health Checkups in Aichi Prefecture, Japan. The prevalence of renal hyperfiltration [estimated glomerular filtration rate (eGFR) above the age-/sex-specific 95th percentile] and hypofiltration (eGFR below the 5th percentile) was compared according to the number of MetS components. Results: We found that the prevalence of both hyperfiltration and hypofiltration increased with increasing number of MetS components (odds ratios for hyperfiltration: 1.20, 1.40, 1.42, 1.41, and 1.77; odds ratios for hypofiltration: 1.07, 1.25, 1.57, 1.89, and 2.21 for one, two, three, four, and five components, respectively, compared with no MetS components).