Diastolic function is a strong predictor of mortality in patients with chronic kidney disease
| dc.contributor.author | Farshid, Ahmad | |
| dc.contributor.author | Pathak, Rajeev | |
| dc.contributor.author | Shadbolt, Bruce | |
| dc.contributor.author | Arnolda, Leonard | |
| dc.contributor.author | Talaulikar, Girish | |
| dc.date.accessioned | 2015-12-09T05:08:53Z | |
| dc.date.available | 2015-12-09T05:08:53Z | |
| dc.date.issued | 2013-12-23 | |
| dc.date.updated | 2015-12-09T09:07:53Z | |
| dc.description.abstract | BACKGROUND Cardiovascular disease is a major cause of death in patients with stage 4-5 Chronic Kidney disease (CKD, eGFR < 30). There are only limited data on the risk factors predicting these complications in CKD patients. Our aim was to determine the role of clinical and echocardiographic parameters in predicting mortality and cardiovascular complications in CKD patients. METHODS We conducted a prospective observational cohort study of 153 CKD patients between 2007 and 2009. All patients underwent echocardiography at baseline and were followed for a mean of 2.6 years using regular clinic visits and review of files and hospital presentations to record the incidence of cardiovascular events and death. RESULTS Of 153 patients enrolled, 57 (37%) were on dialysis and 45 (78%) of these patients were on haemodialysis. An enlarged LV was present in 32% of patients and in 22% the LVEF was below 55%. LV mass index was increased in 75% of patients. Some degree of diastolic dysfunction was present in 85% of patients and 35% had grade 2 or higher diastolic dysfunction. During follow up 41 patients (27%) died, 15 (39%) from cardiovascular causes. Mortality was 24.0% in the non-dialysis patients versus 31.6% in patients on dialysis (p=ns). On multivariate analysis age >75 years, previous history of MI, diastolic dysfunction and detectable serum troponin T were significant independent predictor of mortality (P < 0.01). CONCLUSION Patients with stage 4-5 CKD had a mortality rate of 27% over a mean follow up of 2.6 years. Age >75 years, history of MI, diastolic dysfunction and troponin T were independent predictors of mortality. | |
| dc.description.sponsorship | The study was funded by the Private Practice Fund of the Canberra Hospital which did not have any involvement in carrying out the study or writing the manuscript. | en_AU |
| dc.identifier.issn | 1471-2369 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/38457 | |
| dc.publisher | BioMed Central | |
| dc.rights | © 2013 Farshid et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
| dc.source | BMC Nephrology | |
| dc.source.uri | http://www.biomedcentral.com/1471-2369/14/280 | en_AU |
| dc.subject | aged | |
| dc.subject | australian capital territory | |
| dc.subject | comorbidity | |
| dc.subject | female | |
| dc.subject | humans | |
| dc.subject | incidence | |
| dc.subject | male | |
| dc.subject | prognosis | |
| dc.subject | renal insufficiency, chronic | |
| dc.subject | reproducibility of results | |
| dc.subject | risk factors | |
| dc.subject | sensitivity and specificity | |
| dc.subject | survival rate | |
| dc.subject | ventricular dysfunction, left | |
| dc.subject | stroke volume | |
| dc.subject | survival analysis | |
| dc.title | Diastolic function is a strong predictor of mortality in patients with chronic kidney disease | |
| dc.type | Journal article | |
| local.bibliographicCitation.issue | 1 | en_AU |
| local.bibliographicCitation.lastpage | 6 | |
| local.bibliographicCitation.startpage | 280 | en_AU |
| local.contributor.affiliation | Farshid, Ahmad, Canberra Hospital, Australia | en_AU |
| local.contributor.affiliation | Pathak, Rajeev, The Canberra Hospital, Australia | en_AU |
| local.contributor.affiliation | Shadbolt, Bruce, College of Medicine, Biology and Environment, CMBE ANU Medical School, ANU Medical School, The Australian National University | en_AU |
| local.contributor.affiliation | Arnolda, Leonard, College of Medicine, Biology and Environment, CMBE ANU Medical School, ANU Medical School, The Australian National University | en_AU |
| local.contributor.affiliation | Talaulikar, Girish, College of Medicine, Biology and Environment, CMBE ANU Medical School, ANU Medical School, The Australian National University | en_AU |
| local.contributor.authoruid | Shadbolt, Bruce, u1814247 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 110312 | en_AU |
| local.identifier.ariespublication | u4971216xPUB255 | en_AU |
| local.identifier.citationvolume | 14 | en_AU |
| local.identifier.doi | 10.1186/1471-2369-14-280 | en_AU |
| local.identifier.essn | 1471-2369 | en_AU |
| local.identifier.scopusID | 2-s2.0-84890597677 | |
| local.identifier.thomsonID | 000329751600001 | |
| local.publisher.url | http://www.biomedcentral.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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