Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample

M. Pareek, M. Nielsen, Thomas Bastholm Olesen, M. Leosdottir, P. M. Nilsson, M. H. Olsen

Research output: Contribution to journalConference abstract in journalResearchpeer-review

Abstract

Objective: To determine whether baseline hemodynamic and/or glucometabolic risk factors could predict renal function at follow-up, independently of baseline serum creatinine, in survivors from a random population sample. Design and method: We examined associations between baseline serum creatinine, hemodynamic factors (systolic blood pressure (SBP), heart rate (HR)), glucometabolic factors (fasting plasma glucose and insulin, 2-hour plasma glucose and insulin during oral glucose tolerance test (OGTT), a modified 40 minute oral disposition index (DIo), and Homeostatic Model Assessment (HOMA) derived indices of beta-cell function (HOMA-2B), insulin sensitivity (HOMA-2S), and insulin resistance (HOMA-2IR)), traditional cardiovascular risk factors (age, sex, smoking status, body mass index, diabetes mellitus, total serum cholesterol), and later renal function determined as serum cystatin C in 238 men and 7 women aged 38 to 49 years at the time of inclusion, using multivariable linear regression analysis (p-entry 0.05, p-removal 0.20). Study subjects came from a random population based sample and were included 1974-1992, whilst the follow-up with cystatin C measurement was performed 2002-2006. Results: Mean (+/- s.d.) follow-up time, creatinine, and cystatin C were 28 +/- 1 years, 94 +/- 12 micromoles/L, and 1.220 +/- 0.298 mg/L. Mean estimated glomerular filtration rates at baseline and follow-up were 84 +/- 12 mL/min/1.73m2 and 68 +/- 18 mL/min/1.73m2. In univariate analyses, cystatin C was positively associated with age, female sex, SBP, HOMA-2B, creatinine, and the time elapsed between inclusion and follow-up. In multivariable analysis, age (beta = 0.013 (95% confidence interval (CI), 0.002 to 0.024); p <0.02), female sex (beta = 0.271 (95% CI, 0.036 to 0.506); p = 0.02), creatinine (beta = 0.007 (95% CI, 0.004 to 0.010); p <0.001), and time span (beta = 0.062 (95% CI, 0.018 to 0.106); p = 0.006) remained significantly associated with cystatin C.We did not detect any significant interactions between SBP, HOMA-2B, and the other risk factors. Conclusions: Although SBP and HOMA-2B were both associated with later renal function as assessed by serum cystatin C, none of them remained significant in a multivariable model adjusted for age, sex, serum creatinine, and time from inclusion to follow-up.
Original languageEnglish
Article numberPP.25.04
JournalJournal of Hypertension
Volume33
Issue numbere-Supplement 1
Pages (from-to)e352
Number of pages1
ISSN0263-6352
Publication statusPublished - 2015
Event25th European Meeting on Hypertension and Cardiovascular Protection - Milano, Italy
Duration: 12. Jun 201515. Jun 2015

Conference

Conference25th European Meeting on Hypertension and Cardiovascular Protection
CountryItaly
CityMilano
Period12/06/201515/06/2015

Cite this

Pareek, M., Nielsen, M., Olesen, T. B., Leosdottir, M., Nilsson, P. M., & Olsen, M. H. (2015). Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample. Journal of Hypertension, 33(e-Supplement 1), e352. [PP.25.04].
Pareek, M. ; Nielsen, M. ; Olesen, Thomas Bastholm ; Leosdottir, M. ; Nilsson, P. M. ; Olsen, M. H. / Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample. In: Journal of Hypertension. 2015 ; Vol. 33, No. e-Supplement 1. pp. e352.
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abstract = "Objective: To determine whether baseline hemodynamic and/or glucometabolic risk factors could predict renal function at follow-up, independently of baseline serum creatinine, in survivors from a random population sample. Design and method: We examined associations between baseline serum creatinine, hemodynamic factors (systolic blood pressure (SBP), heart rate (HR)), glucometabolic factors (fasting plasma glucose and insulin, 2-hour plasma glucose and insulin during oral glucose tolerance test (OGTT), a modified 40 minute oral disposition index (DIo), and Homeostatic Model Assessment (HOMA) derived indices of beta-cell function (HOMA-2B), insulin sensitivity (HOMA-2S), and insulin resistance (HOMA-2IR)), traditional cardiovascular risk factors (age, sex, smoking status, body mass index, diabetes mellitus, total serum cholesterol), and later renal function determined as serum cystatin C in 238 men and 7 women aged 38 to 49 years at the time of inclusion, using multivariable linear regression analysis (p-entry 0.05, p-removal 0.20). Study subjects came from a random population based sample and were included 1974-1992, whilst the follow-up with cystatin C measurement was performed 2002-2006. Results: Mean (+/- s.d.) follow-up time, creatinine, and cystatin C were 28 +/- 1 years, 94 +/- 12 micromoles/L, and 1.220 +/- 0.298 mg/L. Mean estimated glomerular filtration rates at baseline and follow-up were 84 +/- 12 mL/min/1.73m2 and 68 +/- 18 mL/min/1.73m2. In univariate analyses, cystatin C was positively associated with age, female sex, SBP, HOMA-2B, creatinine, and the time elapsed between inclusion and follow-up. In multivariable analysis, age (beta = 0.013 (95{\%} confidence interval (CI), 0.002 to 0.024); p <0.02), female sex (beta = 0.271 (95{\%} CI, 0.036 to 0.506); p = 0.02), creatinine (beta = 0.007 (95{\%} CI, 0.004 to 0.010); p <0.001), and time span (beta = 0.062 (95{\%} CI, 0.018 to 0.106); p = 0.006) remained significantly associated with cystatin C.We did not detect any significant interactions between SBP, HOMA-2B, and the other risk factors. Conclusions: Although SBP and HOMA-2B were both associated with later renal function as assessed by serum cystatin C, none of them remained significant in a multivariable model adjusted for age, sex, serum creatinine, and time from inclusion to follow-up.",
keywords = "*population *European *hypertension *protection *kidney function follow up female creatinine blood level model risk factor glucose blood level serum human oral glucose tolerance test insulin sensitivity cell function heart rate linear regression analysis male systolic blood pressure cholesterol blood level diabetes mellitus body mass smoking diet restriction cardiovascular risk insulin resistance univariate analysis glomerulus filtration rate confidence interval survivor cystatin C creatinine insulin cystatin",
author = "M. Pareek and M. Nielsen and Olesen, {Thomas Bastholm} and M. Leosdottir and Nilsson, {P. M.} and Olsen, {M. H.}",
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Pareek, M, Nielsen, M, Olesen, TB, Leosdottir, M, Nilsson, PM & Olsen, MH 2015, 'Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample', Journal of Hypertension, vol. 33, no. e-Supplement 1, PP.25.04, pp. e352.

Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample. / Pareek, M.; Nielsen, M.; Olesen, Thomas Bastholm ; Leosdottir, M.; Nilsson, P. M.; Olsen, M. H.

In: Journal of Hypertension, Vol. 33, No. e-Supplement 1, PP.25.04, 2015, p. e352.

Research output: Contribution to journalConference abstract in journalResearchpeer-review

TY - ABST

T1 - Hemodynamic and glucometabolic factors fail to predict renal function in a random population sample

AU - Pareek, M.

AU - Nielsen, M.

AU - Olesen, Thomas Bastholm

AU - Leosdottir, M.

AU - Nilsson, P. M.

AU - Olsen, M. H.

PY - 2015

Y1 - 2015

N2 - Objective: To determine whether baseline hemodynamic and/or glucometabolic risk factors could predict renal function at follow-up, independently of baseline serum creatinine, in survivors from a random population sample. Design and method: We examined associations between baseline serum creatinine, hemodynamic factors (systolic blood pressure (SBP), heart rate (HR)), glucometabolic factors (fasting plasma glucose and insulin, 2-hour plasma glucose and insulin during oral glucose tolerance test (OGTT), a modified 40 minute oral disposition index (DIo), and Homeostatic Model Assessment (HOMA) derived indices of beta-cell function (HOMA-2B), insulin sensitivity (HOMA-2S), and insulin resistance (HOMA-2IR)), traditional cardiovascular risk factors (age, sex, smoking status, body mass index, diabetes mellitus, total serum cholesterol), and later renal function determined as serum cystatin C in 238 men and 7 women aged 38 to 49 years at the time of inclusion, using multivariable linear regression analysis (p-entry 0.05, p-removal 0.20). Study subjects came from a random population based sample and were included 1974-1992, whilst the follow-up with cystatin C measurement was performed 2002-2006. Results: Mean (+/- s.d.) follow-up time, creatinine, and cystatin C were 28 +/- 1 years, 94 +/- 12 micromoles/L, and 1.220 +/- 0.298 mg/L. Mean estimated glomerular filtration rates at baseline and follow-up were 84 +/- 12 mL/min/1.73m2 and 68 +/- 18 mL/min/1.73m2. In univariate analyses, cystatin C was positively associated with age, female sex, SBP, HOMA-2B, creatinine, and the time elapsed between inclusion and follow-up. In multivariable analysis, age (beta = 0.013 (95% confidence interval (CI), 0.002 to 0.024); p <0.02), female sex (beta = 0.271 (95% CI, 0.036 to 0.506); p = 0.02), creatinine (beta = 0.007 (95% CI, 0.004 to 0.010); p <0.001), and time span (beta = 0.062 (95% CI, 0.018 to 0.106); p = 0.006) remained significantly associated with cystatin C.We did not detect any significant interactions between SBP, HOMA-2B, and the other risk factors. Conclusions: Although SBP and HOMA-2B were both associated with later renal function as assessed by serum cystatin C, none of them remained significant in a multivariable model adjusted for age, sex, serum creatinine, and time from inclusion to follow-up.

AB - Objective: To determine whether baseline hemodynamic and/or glucometabolic risk factors could predict renal function at follow-up, independently of baseline serum creatinine, in survivors from a random population sample. Design and method: We examined associations between baseline serum creatinine, hemodynamic factors (systolic blood pressure (SBP), heart rate (HR)), glucometabolic factors (fasting plasma glucose and insulin, 2-hour plasma glucose and insulin during oral glucose tolerance test (OGTT), a modified 40 minute oral disposition index (DIo), and Homeostatic Model Assessment (HOMA) derived indices of beta-cell function (HOMA-2B), insulin sensitivity (HOMA-2S), and insulin resistance (HOMA-2IR)), traditional cardiovascular risk factors (age, sex, smoking status, body mass index, diabetes mellitus, total serum cholesterol), and later renal function determined as serum cystatin C in 238 men and 7 women aged 38 to 49 years at the time of inclusion, using multivariable linear regression analysis (p-entry 0.05, p-removal 0.20). Study subjects came from a random population based sample and were included 1974-1992, whilst the follow-up with cystatin C measurement was performed 2002-2006. Results: Mean (+/- s.d.) follow-up time, creatinine, and cystatin C were 28 +/- 1 years, 94 +/- 12 micromoles/L, and 1.220 +/- 0.298 mg/L. Mean estimated glomerular filtration rates at baseline and follow-up were 84 +/- 12 mL/min/1.73m2 and 68 +/- 18 mL/min/1.73m2. In univariate analyses, cystatin C was positively associated with age, female sex, SBP, HOMA-2B, creatinine, and the time elapsed between inclusion and follow-up. In multivariable analysis, age (beta = 0.013 (95% confidence interval (CI), 0.002 to 0.024); p <0.02), female sex (beta = 0.271 (95% CI, 0.036 to 0.506); p = 0.02), creatinine (beta = 0.007 (95% CI, 0.004 to 0.010); p <0.001), and time span (beta = 0.062 (95% CI, 0.018 to 0.106); p = 0.006) remained significantly associated with cystatin C.We did not detect any significant interactions between SBP, HOMA-2B, and the other risk factors. Conclusions: Although SBP and HOMA-2B were both associated with later renal function as assessed by serum cystatin C, none of them remained significant in a multivariable model adjusted for age, sex, serum creatinine, and time from inclusion to follow-up.

KW - population European hypertension protection kidney function follow up female creatinine blood level model risk factor glucose blood level serum human oral glucose tolerance test insulin sensitivity cell function heart rate linear regression analysis male

M3 - Conference abstract in journal

VL - 33

SP - e352

JO - Journal of Hypertension

JF - Journal of Hypertension

SN - 0263-6352

IS - e-Supplement 1

M1 - PP.25.04

ER -