scholarly journals Platelet Distribution Width and Mortality in Hemodialysis Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Wang Ruiyan ◽  
Xu Bin ◽  
Dong Jianhua ◽  
Zhou Lei ◽  
Gong Dehua ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Platelet Distribution Width ◽  
Distribution Width ◽  
All Cause Mortality ◽  
Secondary Endpoints ◽  
Comorbidity Index ◽  
The Mean

Objectives. The association between platelet distribution width (PDW) and mortality in hemodialysis (HD) patients has received little attention. Methods. We retrospectively enrolled HD patients in a single center from January 1, 2008, to December 30, 2011. The primary and secondary endpoints were all-cause and cardiovascular mortality, respectively. The association between PDW and mortality was estimated by Cox regression model. Results. Of 496 patients, the mean age was 52.5 ± 16.6 years, and the Charlson comorbidity index was 4.39 ± 1.71. During the follow-up period of 48.8 ± 6.7 months, 145 patients (29.2%) died, including 74 (14.9%) cardiovascular deaths. 258 (52.0%) with PDW < 16.31% were in the low group and 238 (48.0%) in those with PDW ≥ 16.31% according to cut-off for all-cause mortality by receiving-operator characteristics. After adjusting for confounding factors, high PDW values were independently associated with higher risk of all-cause (hazards ratio (HR) = 1.49, 95% confidence interval (CI) 1.15–6.82) and cardiovascular deaths (HR = 2.26, 95% CI 1.44–3.63) in HD patients. When comparing with quartile 1 of PDW, quartile 4 of PDW was independently associated with a higher risk of all-cause (HR = 1.59, 95% CI 1.18–5.30) and cardiovascular deaths (HR = 2.71, 95% CI 1.49–3.76) in HD patients. Conclusions. Baseline PDW was independently associated with all-cause and cardiovascular mortality in HD patients.

Association of P-Wave Dispersion with Overall and Cardiovascular Mortality in Hemodialysis Patients

2015 ◽  
Vol 42 (3) ◽  
pp. 198-205 ◽  
Author(s):  
Szu-Chia Chen ◽  
Ho-Ming Su ◽  
Jiun-Chi Huang ◽  
Ko Chang ◽  
Yi-Chun Tsai ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Wave Dispersion ◽  
Hemodialysis Patients ◽  
P Wave ◽  
P Wave Dispersion ◽  
Cox Regression Analysis ◽  
Atrial Enlargement ◽  
The Mean

Background/Aims: The P-wave parameters that are measured using a 12-lead electrocardiogram are commonly used as noninvasive tools for assessing left atrial enlargement. This study was designed to assess whether P-wave dispersion is associated with overall and cardiovascular mortality in hemodialysis patients. Methods: This study enrolled 209 hemodialysis patients. We measured the P-wave dispersion corrected by heart rate, that is, the corrected P-wave dispersion (PWdisperC), and assessed its correlation with overall and cardiovascular mortalities. Results: The mean PWdisperC of all the patients was 93.3 ± 21.1 ms. During the follow-up period (mean 5.4 years), 58 deaths and 37 cardiovascular deaths were recorded. The adjusted value of PWdisperC was also associated with overall (hazards ratio (HR) 1.018, 95% CI 1.004-1.033, p = 0.014) and cardiovascular (HR 1.032, 95% CI 1.012-1.053, p = 0.002) mortalities. Multivariate Cox regression analysis identified tertile 3 of PWdisperC (vs. tertile 1) to be associated with overall (HR 2.472, 95% CI 1.181-5.174, p = 0.016) and cardiovascular (HR 3.896, 95% CI 1.463-10.376, p = 0.007) mortalities, after adjustment for demographic, clinical and biochemical parameters. Adding PWdisperC to a model of clinical features could significantly improve the predictive value for overall (p = 0.044) and cardiovascular (p = 0.002) mortalities. Conclusions: We concluded that PWdisperC was positively associated with overall and cardiovascular mortalities in hemodialysis patients and could provide additional prognostic values. Screening hemodialysis patients by using PWdisperC may facilitate identifying a group of patients with poor prognosis.

scholarly journals Living alone is associated with all-cause and cardiovascular mortality: 32 years of follow-up in the Copenhagen Male Study

2019 ◽  
Vol 5 (3) ◽  
pp. 208-217 ◽  
Author(s):  
Magnus T Jensen ◽  
Jacob L Marott ◽  
Andreas Holtermann ◽  
Finn Gyntelberg
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Cox Regression ◽  
Urban Life ◽  
Living Alone ◽  
Policy Initiatives ◽  
All Cause Mortality ◽  
Number Of Individuals

Abstract Aims As a consequence of modern urban life, an increasing number of individuals are living alone. Living alone may have potential adverse health implications. The long-term relationship between living alone and all-cause and cardiovascular mortality, however, remains unclear. Methods and results Participants from The Copenhagen Male Study were included in 1985–86 and information about conventional behavioural, psychosocial, and environmental risk factors were collected. Socioeconomic position (SEP) was categorized into four groups. Multivariable Cox-regression models were performed with follow-up through the Danish National Registries. A total of 3346 men were included, mean (standard deviation) age 62.9 (5.2) years. During 32.2 years of follow-up, 89.4% of the population died and 38.9% of cardiovascular causes. Living alone (9.6%) was a significant predictor of mortality. Multivariable risk estimates were [hazard ratio (95% confidence interval)] 1.23 (1.09–1.39), P = 0.001 for all-cause mortality and 1.36 (1.13–1.63), P = 0.001 for cardiovascular mortality. Mortality risk was modified by SEP. Thus, there was no association in the highest SEP but for all other SEP categories, e.g. highest SEP for all-cause mortality 1.01 (0.7–1.39), P = 0.91 and 0.94 (0.6–1.56), P = 0.80 for cardiovascular mortality; lowest SEP 1.58 (1.16–2.19), P = 0.004 for all-cause mortality and 1.87 (1.20–2.90), P = 0.005 for cardiovascular mortality. Excluding participants dying within 5 years of inclusion (n = 274) did not change estimates, suggesting a minimal influence of reverse causation. Conclusions Living alone was an independent risk factor for all-cause and cardiovascular mortality with more than three decades of follow-up. Individuals in middle- and lower SEPs were at particular risk. Health policy initiatives should target these high-risk individuals.

Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients

2019 ◽  
Vol 49 (4) ◽  
pp. 317-327 ◽  
Author(s):  
Julia Matschkal ◽  
Christopher C. Mayer ◽  
Pantelis A. Sarafidis ◽  
Georg Lorenz ◽  
Matthias C. Braunisch ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Cardiovascular Mortality ◽  
Pulse Wave ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background: Mortality in hemodialysis patients still remains unacceptably high. Enhanced arterial stiffness is a known cardiovascular risk factor, and pulse wave velocity (PWV) has proven to be a valid parameter to quantify risk. Recent studies showed controversial results regarding the prognostic significance of PWV for mortality in hemodialysis patients, which may be due to methodological issues, such as assessment of PWV in the office setting (Office-PWV). Method: This study cohort contains patients from the “Risk stratification in end-stage renal disease – the ISAR study,” a multicenter prospective longitudinal observatory cohort study. We examined and compared the predictive value of ambulatory 24-hour PWV (24 h-PWV) and Office-PWV on mortality in a total of 344 hemodialysis patients. The endpoints of the study were all-cause and cardiovascular mortality. Survival analysis included Kaplan-Meier estimates and Cox regression analysis. Results: During a follow-up of 36 months, a total of 89 patients died, 35 patients due to cardiovascular cause. Kaplan-Meier estimates for tertiles of 24 h-PWV and Office-PWV were similarly associated with mortality. In univariate Cox regression analysis, 24 h-PWV and Office-PWV were equivalent predictors for all-cause and cardiovascular mortality. After adjustment for common risk factors, only 24 h-PWV remained solely predictive for all-cause mortality (hazard ratio 2.51 [95% CI 1.31–4.81]; p = 0.004). Conclusions: Comparing both measurements, 24 h-PWV is an independent predictor for all-cause-mortality in hemodialysis patients beyond Office-PWV.

P1539Aortic pulse wave velocity measured by an oscillometric device independently predicts all-cause mortality in a cohort of 4146 subjects

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
Z Lenkey ◽  
M Illyes ◽  
T Kahan ◽  
P Boutouyrie ◽  
S Laurent ◽  
...  
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Care Setting ◽  
Pulse Wave ◽  
Cox Regression ◽  
Aortic Pulse Wave Velocity ◽  
Oscillometric Device ◽  
All Cause Mortality ◽  
The Mean

Abstract Objectives Assessment of carotid-femoral pulse wave velocity by applanation tonometry independently predicts all-cause and cardiovascular mortality. However, there has been a need for a simpler, user-independent measurement with a validated device, that is applicable even in the primary care setting. Methods and subjects 4146 subjects (49% men) aged 35–75 years were measured in multiple centers in Hungary. Subjects visited the outpatient department of these centers on their own initiative. The measurement of aortic pulse wave velocity (PWVao) with Arteriograph was performed in addition to taking past medical history, physical examination and laboratory tests. The mean follow-up time of the study was 5.5 years. The number of events (all cause mortality) were provided by the Hungarian National Health Insurance Fund. Cox regression analyses were used to identify predictive factors for this endpoint. Results The mean age of the study population was 53 years, brachial systolic and diastolic blood pressure were 137±20 and 82±11 mmHg, and heart rate was 70±10 1/min. The mean value of SCORE was 3 in this large cohort. 410 subjects had a registered cerebro-or cardiovascular event before the measurement, the number of smokers was 656 (16%), 1974 subjects were treated with at least one anti-hypertensive drug (48%), while the number of subjects on lipid-lowering, antidiabetic or antiplatelet medication were 807 (19%), 352 (8%) and 398 (17%), respectively. There were 116 fatal events during a mean follow-up of 5.5 years. According to the Cox regression, PWVao is a significant and independent predictor of all cause-mortality and in univariate analysis, a 1.0 m/s increase in PWVao was associated with HR 1.7 [1.47–1.98; p<0.001], for this endpoint. Conclusion Aortic pulse wave velocity measured by an invasively validated, simple, oscillometric device predicted all-cause mortality in a large cohort of relatively young subjects of the general population that may improve risk stratification even in the everyday clinical practice or primary care setting.

scholarly journals Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women.

2020 ◽  
Author(s):  
Masuma Novak ◽  
Margda waern ◽  
Lena Johansson ◽  
Anna Zettergren ◽  
Lina Ryden ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Mortality Data ◽  
Men And Women ◽  
Face To Face ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Adjusted Model

Abstract Background. This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Methods. Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n=524). Mortality data were analyzed until 2012 through Swedish national registers. Results. Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5 334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78 - 2.96; all-cause HR 1.32, 95% CI 0.77 - 2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14 - 4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04 - 5.65). Conclusions. Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

scholarly journals Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Masuma Novak ◽  
Margda Waern ◽  
Lena Johansson ◽  
Anna Zettergren ◽  
Lina Ryden ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Mortality Data ◽  
Men And Women ◽  
Face To Face ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Adjusted Model

Abstract Background This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Methods Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n = 524). Mortality data were analyzed until 2012 through Swedish national registers. Results Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78–2.96; all-cause HR 1.32, 95% CI 0.77–2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14–4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04–5.65). Conclusions Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

scholarly journals Electrocardiographic parameters of left ventricular hypertrophy and prediction of mortality in hemodialysis patients

2021 ◽  
Author(s):  
Matthias C. Braunisch ◽  
Peter Gundel ◽  
Stanislas Werfel ◽  
Christopher C. Mayer ◽  
Axel Bauer ◽  
...  
Keyword(s):  
Left Ventricular Hypertrophy ◽  
Risk Prediction ◽  
Cardiovascular Mortality ◽  
Ventricular Hypertrophy ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Left Ventricular ◽  
Mortality Prediction ◽  
Prediction Of Mortality

Abstract Background In hemodialysis patients, left ventricular hypertrophy (LVH) contributes to high cardiovascular mortality. We examined cardiovascular mortality prediction by the recently proposed Peguero-Lo Presti voltage since it identifies more patients with electrocardiographic (ECG) LVH than Cornell or Sokolow-Lyon voltages. Methods A total of 308 patients on hemodialysis underwent 24 h ECG recordings. LVH parameters were measured before and after dialysis. The primary endpoint of cardiovascular mortality was recorded during a median 3-year follow up. Risk prediction was assessed by Cox regression, both unadjusted and adjusted for the Charlson Comorbidity Index and the Cardiovascular Mortality Risk Score. Results The Peguero-Lo Presti voltage identified with 21% the most patients with positive LVH criteria. All voltages significantly increased during dialysis. Factors such as ultrafiltration rate, Kt/V, body mass index, sex, and phosphate were the most relevant for these changes. During follow-up, 26 cardiovascular deaths occurred. Post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages were independently associated with cardiovascular mortality in unadjusted and adjusted analysis. The Sokolow-Lyon voltage was not significantly associated with mortality. An optimal cut-off for the prediction of cardiovascular mortality was estimated at 1.38 mV for the Peguero-Lo Presti. Conclusions The post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages allowed independent risk prediction of cardiovascular mortality in hemodialysis patients. Measuring the ECG LVH parameters after dialysis might allow a standardized interpretation as dialysis-specific factors influence the voltages. Graphical abstract

P5514Impact of pro-inflammatory conditions on myocardial infarction with non-obstructive coronary arteries

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
J Lopez Pais ◽  
M J Espinosa Pascual ◽  
B Izquierdo Coronel ◽  
D Galan Gil ◽  
B Alcon Duran ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Arteries ◽  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Connective Tissue Diseases ◽  
University Hospital ◽  
Major Adverse Cardiovascular Events ◽  
Number Of Patients ◽  
All Cause Mortality

Abstract Background Despite all the recent publications, including new guidelines, myocardial infarction with non-obstructive coronary arteries (MINOCA) is still a controversy “working diagnosis”. MINOCA patients have a characteristic risk profile, with a lower prevalence of classical risk factors (CVRF). The aim of this study is to analyze the relationship between known proinflammatory conditions and MINOCA. Methods Analytical and observational study developed in a University Hospital, which covers 220.000 individuals. We analyzed data of 109 consecutive MINOCA patients admitted to our center during a 3 years period (2016–2018). We used the definitions and the clinical management of the 2016 European Society of Cardiology Working Group Position Paper on MINOCA. The composite of proinflammatory conditions (PIC) includes vasculitis and other autoimmune pathologies; connective tissue diseases, the presence of active cancer and the fact of presenting the myocardial infarction as a complication during admission for a non-cardiovascular pathology. Follow up analysis included death from any cause and major adverse cardiovascular events (MACE). Survival analysis is based on Cox regression and represented by Kaplan Meier curves. Median follow up was 17 months. Results Around one-third of the MINOCA patients had PIC (34.8%). They tended to be older (67.9±14 vs 62.8±15, p 0.08), with no differences in rate of female sex (55.3 vs 49.3%, p 0.55) neither in traditional CVRF: Tobacco (40.5 vs 42.6%), diabetes (18.4 vs 26.8%), dyslipidaemia (39.5 vs 48.6%) or hypertension (55.3 vs 64.8%). Patients with PIC had a higher proportion of ischemic ECG at presentation (75.7 vs 53.5%, p 0.03), a tendency to worse ejection fraction (45.9 vs 28.2%, p 0.07) and higher in-hospital mortality (2.6 vs 0.0%, p 0.17). Levels of troponin were similar (4.0±6.0 vs 6.6±10.4, p 0.2) During follow-up (Figure 1), PIC was related to a higher all-cause-mortality (16.2 vs 1.5%, Hazard Ratio (HR) 10.7 (95% Confidence Interval [CI]: 1.3–89.0, p 0.03). Patients with PIC also showed a non-significant higher cardiovascular mortality (5.3 vs 1.4%, HR 3.5 [CI: 0.3–38.5], p 0.3) and higher rate of MACE (13.5 vs 9.2%, HR 1.6 [CI: 0.5–5.1], p 0.4). Conclusion In this study, MINOCA patients had a high prevalence of PIC, being present in more than one-third of them. They are linked to worse prognosis, with higher all-cause mortality and a non-significant increase in cardiovascular mortality and MACE, which could be significant with the appropriate number of patients.

scholarly journals Annual change in the extracellular fluid/intracellular fluid ratio and mortality in patients undergoing maintenance hemodialysis

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Takahiro Yajima ◽  
Kumiko Yajima ◽  
Hiroshi Takahashi
Keyword(s):  
Cardiovascular Mortality ◽  
Risk Model ◽  
Extracellular Fluid ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
First Year ◽  
Annual Change ◽  
Intracellular Fluid ◽  
All Cause Mortality

AbstractWe aimed to investigate whether annual change in the extracellular fluid to intracellular fluid (ΔECF/ICF) ratio can accurately predict mortality in hemodialysis patients. Totally, 247 hemodialysis patients were divided into two groups according to the median baseline ECF/ICF ratio of 0.563 and ΔECF/ICF ≥ 0% or < 0% during the first year, respectively. Thereafter, they were divided into four groups according to each cutoff point and were followed up for mortality assessment. The ECF/ICF ratio increased from 0.566 ± 0.177 to 0.595 ± 0.202 in the first year (P = 0.0016). During the 3.4-year median follow-up, 93 patients died (42 cardiovascular-specific causes). The baseline ECF/ICF ≥ 0.563 and ΔECF/ICF ≥ 0% were independently associated with all-cause mortality (adjusted hazard ratio [aHR] 4.55, 95% confidence interval [CI] 2.60–7.98 and aHR 8.11, 95% CI 3.47–18.96, respectively). The aHR for ECF/ICF ≥ 0.563 and ΔECF/ICF ≥ 0% vs. ECF/ICF < 0.563 and ΔECF/ICF < 0% was 73.49 (95% CI 9.45–571.69). For model discrimination, adding the ΔECF/ICF (0.859) alone and both the baseline ECF/ICF and ΔECF/ICF (0.903) to the established risk model (0.746) significantly improved the C-index. Similar results were obtained for cardiovascular mortality. In conclusion, the ΔECF/ICF ratio could not only predict all-cause and cardiovascular mortality but also improve predictability of mortality in hemodialysis patients.

scholarly journals Plasma creatine kinase and all-cause mortality in patients on peritoneal dialysis: a multi-center retrospective study

2020 ◽  
Author(s):  
Yueqiang Wen ◽  
FenFen Peng ◽  
Xiaoran Feng ◽  
Niansong Wang ◽  
Xiaojiang Zhan ◽  
...  
Keyword(s):  
Creatine Kinase ◽  
Peritoneal Dialysis ◽  
Cox Regression ◽  
Significant Difference ◽  
All Cause Mortality ◽  
Mortality Incidence ◽  
History Of ◽  
Comorbidity Index ◽  
Plasma Creatine Kinase

Abstract Background Higher plasma creatine kinase (CK) values are associated with the failure of antihypertensive treatment. However, an association between CK and all-cause mortality in peritoneal dialysis (PD) patients has received little attention.Methods In this retrospective multicenter study, 1382 incident PD patients with baseline CK values were enrolled from November 1, 2005, to February 28, 2017. All patients with oral statins were excluded and then were divided into four groups according to quartile range [Quartile 1 (<60 U/L), Quartile 2 (60-100 U/L), Quartile 3 (101-179 U/L), and Quartile 4 (>179 U/L)]. The primary endpoint was all-cause mortality. The association between plasma CK values and all-cause mortality was assessed with Cox regression and the Fine and Gray models.Results Of 1382 patients 298 (21.6%) patients died during a median 35-month (interquartile range=19-54 months) follow-up period. Patients in Quartile 4 were older (P<0.001), likely to be male (P<0.001), had a higher prevalence of diabetes (P=0.002), and a history of cardiovascular disease (P=0.005), and higher values of Charlson comorbidity index (P=0.031). All-cause mortality incidence was a significant difference among the four Quartiles (Quartile 1, 16.2%; Quartile 2, 22.2%; Quartile 3, 23.8%; Quartile 4, 24.1%; P=0.043). Cumulative all-cause mortality in the Quartile 4 was significantly higher compared with other groups (Log Rank=10.55, P=0.015). After adjusting for confounding factors, the highest CK quartile had a hazard ratio (HR) for all-cause mortality of 1.75 [95% confidence interval (CI) 1.34-3.20, P=0.041]. With kidney transplantation or hemodialysis as a competing risk, the Quartile 4 had an HR for all-cause mortality of 1.66 (95%CI 1.30-3.41, P=0.044), after adjusting for confounding factors.Conclusions Higher plasma CK levels at the commencement of PD may be a valuable biomarker for predicting the development of all-cause mortality in PD patients.

Sign in / Sign up

Export Citation Format

Share Document