2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of Chronic Kidney Disease on the Associations of Cardiovascular Biomarkers With Adverse Outcomes in Patients With Suspected or Known Coronary Artery Disease: The EXCEED‐J Study

      research-article
      , MD, PhD 1 , , , MD, PhD 2 , , MD, PhD 3 , , MD, PhD 4 , , MD, PhD 5 , , MD, PhD 6 , , MD, PhD 7 , , MD, PhD 8 , , MD, PhD 9 , , MD, PhD 10 , , MD, PhD 11 , , MD, PhD 12 , , MD 13 , , MD, PhD 14 , , MD, PhD 15 , , MD 16 , , MD, PhD 17 , , MD 1 , 18 , , MD 1 , 19 , , MD 1 , 1 , , MD, PhD 1 , 20 , , ME 21 , , MD, PhD 21 , , MD, PhD 22 , , MD, PhD 22 , , MD, PhD 23 , , MD, PhD 21 , , MD, PhD 1 , 20 , , MD, PhD 1 , 20 , , MD, PhD 1 , for the EXCEED‐J Study Investigators
      Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
      John Wiley and Sons Inc.
      biomarker, cardiovascular events, chronic kidney disease, coronary artery disease, mortality, prospective cohort study, Biomarkers, Clinical Studies, Nephrology and Kidney

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The impact of chronic kidney disease (CKD) on the prognostic utility of cardiovascular biomarkers in high‐risk patients remains unclear.

          Methods and Results

          We performed a multicenter, prospective cohort study of 3255 patients with suspected or known coronary artery disease (CAD) to investigate whether CKD modifies the prognostic utility of cardiovascular biomarkers. Serum levels of cardiovascular and renal biomarkers, including soluble fms‐like tyrosine kinase‐1 (sFlt‐1), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), high‐sensitivity cardiac troponin‐I (hs‐cTnI), cystatin C, and placental growth factor, were measured in 1301 CKD and 1954 patients without CKD. The urine albumin to creatinine ratio (UACR) was measured in patients with CKD. The primary outcome was 3‐point MACE (3P‐MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. The secondary outcomes were all‐cause death, cardiovascular death, and 5P‐MACE defined as a composite of 3P‐MACE, heart failure hospitalization, and coronary/peripheral artery revascularization. After adjustment for clinical confounders, sFlt‐1, NT‐proBNP, and hs‐cTnI, but not other biomarkers, were significantly associated with 3P‐MACE, all‐cause death, and cardiovascular death in the entire cohort and in patients without CKD. These associations were still significant in CKD only for NT‐proBNP and hs‐cTnI. NT‐proBNP and hs‐cTnI were also significantly associated with 5P‐MACE in CKD. The UACR was not significantly associated with any outcomes in CKD. NT‐proBNP and hs‐cTnI added incremental prognostic information for all outcomes to the model with potential clinical confounders in CKD.

          Conclusions

          NT‐proBNP and hs‐cTnI were the most powerful prognostic biomarkers in patients with suspected or known CAD and concomitant CKD.

          Related collections

          Most cited references65

          • Record: found
          • Abstract: found
          • Article: not found

          Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

          End-stage renal disease substantially increases the risks of death, cardiovascular disease, and use of specialized health care, but the effects of less severe kidney dysfunction on these outcomes are less well defined. We estimated the longitudinal glomerular filtration rate (GFR) among 1,120,295 adults within a large, integrated system of health care delivery in whom serum creatinine had been measured between 1996 and 2000 and who had not undergone dialysis or kidney transplantation. We examined the multivariable association between the estimated GFR and the risks of death, cardiovascular events, and hospitalization. The median follow-up was 2.84 years, the mean age was 52 years, and 55 percent of the group were women. After adjustment, the risk of death increased as the GFR decreased below 60 ml per minute per 1.73 m2 of body-surface area: the adjusted hazard ratio for death was 1.2 with an estimated GFR of 45 to 59 ml per minute per 1.73 m2 (95 percent confidence interval, 1.1 to 1.2), 1.8 with an estimated GFR of 30 to 44 ml per minute per 1.73 m2 (95 percent confidence interval, 1.7 to 1.9), 3.2 with an estimated GFR of 15 to 29 ml per minute per 1.73 m2 (95 percent confidence interval, 3.1 to 3.4), and 5.9 with an estimated GFR of less than 15 ml per minute per 1.73 m2 (95 percent confidence interval, 5.4 to 6.5). The adjusted hazard ratio for cardiovascular events also increased inversely with the estimated GFR: 1.4 (95 percent confidence interval, 1.4 to 1.5), 2.0 (95 percent confidence interval, 1.9 to 2.1), 2.8 (95 percent confidence interval, 2.6 to 2.9), and 3.4 (95 percent confidence interval, 3.1 to 3.8), respectively. The adjusted risk of hospitalization with a reduced estimated GFR followed a similar pattern. An independent, graded association was observed between a reduced estimated GFR and the risk of death, cardiovascular events, and hospitalization in a large, community-based population. These findings highlight the clinical and public health importance of chronic renal insufficiency. Copyright 2004 Massachusetts Medical Society
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Revised equations for estimated GFR from serum creatinine in Japan.

            Estimation of glomerular filtration rate (GFR) is limited by differences in creatinine generation among ethnicities. Our previously reported GFR-estimating equations for Japanese had limitations because all participants had a GFR less than 90 mL/min/1.73 m2 and serum creatinine was assayed in different laboratories. Diagnostic test study using a prospective cross-sectional design. New equations were developed in 413 participants and validated in 350 participants. All samples were assayed in a central laboratory. Hospitalized Japanese patients in 80 medical centers. Patients had not participated in the previous study. Measured GFR (mGFR) computed from inulin clearance. Estimated GFR (eGFR) by using the modified isotope dilution mass spectrometry (IDMS)-traceable 4-variable Modification of Diet in Renal Disease (MDRD) Study equation using the previous Japanese Society of Nephrology Chronic Kidney Disease Initiative (JSN-CKDI) coefficient of 0.741 (equation 1), the previous JSN-CKDI equation (equation 2), and new equations derived in the development data set: modified MDRD Study using a new Japanese coefficient (equation 3), and a 3-variable Japanese equation (equation 4). Performance of equations was assessed by means of bias (eGFR - mGFR), accuracy (percentage of estimates within 15% or 30% of mGFR), root mean squared error, and correlation coefficient. In the development data set, the new Japanese coefficient was 0.808 (95% confidence interval, 0.728 to 0.829) for the IDMS-MDRD Study equation (equation 3), and the 3-variable Japanese equation (equation 4) was eGFR (mL/min/1.73 m2) = 194 x Serum creatinine(-1.094) x Age(-0.287) x 0.739 (if female). In the validation data set, bias was -1.3 +/- 19.4 versus -5.9 +/- 19.0 mL/min/1.73 m2 (P = 0.002), and accuracy within 30% of mGFR was 73% versus 72% (P = 0.6) for equation 3 versus equation 1 and -2.1 +/- 19.0 versus -7.9 +/- 18.7 mL/min/1.73 m(2) (P < 0.001) and 75% versus 73% (P = 0.06) for equation 4 versus equation 2 (P = 0.06), respectively. Most study participants had chronic kidney disease, and some may have had changing GFRs. The new Japanese coefficient for the modified IDMS-MDRD Study equation and the new Japanese equation are more accurate for the Japanese population than the previously reported equations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Chronic Kidney Disease.

              The definition and classification of chronic kidney disease (CKD) have evolved over time, but current international guidelines define this condition as decreased kidney function shown by glomerular filtration rate (GFR) of less than 60 mL/min per 1·73 m(2), or markers of kidney damage, or both, of at least 3 months duration, regardless of the underlying cause. Diabetes and hypertension are the main causes of CKD in all high-income and middle-income countries, and also in many low-income countries. Incidence, prevalence, and progression of CKD also vary within countries by ethnicity and social determinants of health, possibly through epigenetic influence. Many people are asymptomatic or have non-specific symptoms such as lethargy, itch, or loss of appetite. Diagnosis is commonly made after chance findings from screening tests (urinary dipstick or blood tests), or when symptoms become severe. The best available indicator of overall kidney function is GFR, which is measured either via exogenous markers (eg, DTPA, iohexol), or estimated using equations. Presence of proteinuria is associated with increased risk of progression of CKD and death. Kidney biopsy samples can show definitive evidence of CKD, through common changes such as glomerular sclerosis, tubular atrophy, and interstitial fibrosis. Complications include anaemia due to reduced production of erythropoietin by the kidney; reduced red blood cell survival and iron deficiency; and mineral bone disease caused by disturbed vitamin D, calcium, and phosphate metabolism. People with CKD are five to ten times more likely to die prematurely than they are to progress to end stage kidney disease. This increased risk of death rises exponentially as kidney function worsens and is largely attributable to death from cardiovascular disease, although cancer incidence and mortality are also increased. Health-related quality of life is substantially lower for people with CKD than for the general population, and falls as GFR declines. Interventions targeting specific symptoms, or aimed at supporting educational or lifestyle considerations, make a positive difference to people living with CKD. Inequity in access to services for this disease disproportionally affects disadvantaged populations, and health service provision to incentivise early intervention over provision of care only for advanced CKD is still evolving in many countries.
                Bookmark

                Author and article information

                Contributors
                hwada@kuhp.kyoto-u.ac.jp
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                20 January 2022
                01 February 2022
                : 11
                : 3 ( doiID: 10.1002/jah3.v11.3 )
                : e023464
                Affiliations
                [ 1 ] Division of Translational Research National Hospital Organization Kyoto Medical Center Kyoto Japan
                [ 2 ] Department of Cardiology National Hospital Organization Sendai Medical Center Sendai Japan
                [ 3 ] Department of Clinical Research National Hospital Organization Saitama Hospital Wako Japan
                [ 4 ] Department of Cardiovascular Medicine National Hospital Organization Kanazawa Medical Center Kanazawa Japan
                [ 5 ] Division of Clinical Research National Hospital Organization Yokohama Medical Center Yokohama Japan
                [ 6 ] Department of Cardiology National Hospital Organization Ehime Medical Center Toon Japan
                [ 7 ] Institute for Clinical Research National Hospital Organization Kure Medical Center and Chugoku Cancer Center Kure Japan
                [ 8 ] Department of Cardiology National Hospital Organization Kobe Medical Center Kobe Japan
                [ 9 ] Division of Cardiology National Hospital Organization Hokkaido Medical Center Sapporo Japan
                [ 10 ] Department of Cardiology National Hospital Organization Sagamihara National Hospital Sagamihara Japan
                [ 11 ] Division of Clinical Research National Hospital Organization Hakodate National Hospital Hakodate Japan
                [ 12 ] Department of Cardiology National Hospital Organization Okayama Medical Center Okayama Japan
                [ 13 ] Department of Cardiology National Hospital Organization Higashihiroshima Medical Center Higashihiroshima Japan
                [ 14 ] Department of Cardiology National Hospital Organization Kyushu Medical Center Fukuoka Japan
                [ 15 ] Department of Cardiology National Hospital Organization Kumamoto Medical Center Kumamoto Japan
                [ 16 ] Department of Cardiology National Hospital Organization Nagasaki Kawatana Medical Center Nagasaki Japan
                [ 17 ] Department of Clinical Research National Hospital Organization Tochigi Medical Center Utsunomiya Japan
                [ 18 ] Intensive Care Unit Saiseikai Kumamoto Hospital Kumamoto Japan
                [ 19 ] Department of Acute Care and General Medicine Saiseikai Kumamoto Hospital Kumamoto Japan
                [ 20 ] Department of Cardiology National Hospital Organization Kyoto Medical Center Kyoto Japan
                [ 21 ] Department of Endocrinology, Metabolism, and Hypertension Clinical Research Institute National Hospital Organization Kyoto Medical Center Kyoto Japan
                [ 22 ] Clinical Research Institute National Hospital Organization Kyoto Medical Center Kyoto Japan
                [ 23 ] Division of Community and Family Medicine Jichi Medical University Shimotsuke Japan
                Author notes
                [*] [* ] Correspondence to: Hiromichi Wada, MD, PhD, Division of Translational Research, National Hospital Organization Kyoto Medical Center, 1‐1, Mukaihata‐cho, Fukakusa, Fushimi‐ku, Kyoto 612‐8555, Japan. E‐mail: hwada@ 123456kuhp.kyoto-u.ac.jp

                [ * ]

                A complete list of the EXCEED‐J Study Investigators can be found in the Supplemental Material.

                Author information
                https://orcid.org/0000-0002-8980-224X
                https://orcid.org/0000-0001-8808-2001
                https://orcid.org/0000-0003-3861-0026
                https://orcid.org/0000-0002-1975-203X
                https://orcid.org/0000-0001-8810-0425
                https://orcid.org/0000-0002-7172-6242
                https://orcid.org/0000-0001-5029-1203
                https://orcid.org/0000-0001-8644-3539
                https://orcid.org/0000-0002-3956-4239
                https://orcid.org/0000-0002-2348-7646
                Article
                JAH37018
                10.1161/JAHA.121.023464
                9238479
                35048713
                eee29001-b07a-4d00-ab33-d62574278e98
                © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 04 August 2021
                : 15 November 2021
                Page count
                Figures: 2, Tables: 3, Pages: 14, Words: 11031
                Funding
                Funded by: Health Labour Sciences Research Grant
                Funded by: AMED , doi 10.13039/100009619;
                Award ID: JP17ek0210008
                Funded by: National Hospital Organization
                Categories
                Original Research
                Original Research
                Coronary Heart Disease
                Custom metadata
                2.0
                February 1, 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.4 mode:remove_FC converted:03.05.2022

                Cardiovascular Medicine
                biomarker,cardiovascular events,chronic kidney disease,coronary artery disease,mortality,prospective cohort study,biomarkers,clinical studies,nephrology and kidney

                Comments

                Comment on this article