| Literature DB >> 29272278 |
Matthew J Brain1,2,3, Owen S Roodenburg1,3, John McNeil1.
Abstract
BACKGROUND: It is widespread practice during citrate anticoagulated renal replacement therapy to monitor circuit ionised calcium (iCa2+) to evaluate the effectiveness of anticoagulation. Whether the optimal site to sample the blood path is before or after the haemofilter is a common question.Entities:
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Year: 2017 PMID: 29272278 PMCID: PMC5741211 DOI: 10.1371/journal.pone.0189745
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Circuit schematic.
Dark arrows denote blood path. Labelled crosses denote sampling ports at pre and post filter and arterial sites.
Analysis of variance (ANOVA) table of model fits by maximum likelihood method with significance tests of the mixed effects model fit compared to linear model fit.
| Df | AIC | logLik | deviance | Chisq | F value | p-value | R2-LR2 | |
|---|---|---|---|---|---|---|---|---|
| Fixed Effect Only | 3 | -521.29 | 263.64 | -527.29 | NA | 307.670 | <0.001 | 0.680 |
| Mixed Effects | 9 | -516.00 | 267.00 | -534.00 | 6.710 | 59.232 | 0.349 | 0.694 |
| Mixed Effects | 10 | -517.38 | 268.69 | -537.38 | 3.382 | 65.531 | 0.066 | 0.701 |
Df, degrees of freedom. AIC, Akaike Information Criterion. logLik, log Likelihood. Chisq, Chi-square test. R2-LR2, pseudo R-squared.
* p(>F).
** p(Chisq).
Statistical significance of fit compared to Linear Model 1.
Fixed effects and sources of variance in nested random effects structure for Model 2A where the independent variable is pre-filter iCa2+ and dependent variable is post-filter iCa2+.
Random effects are assumed to be normally distributed with a mean of zero and S.D. as per values in this table.
| Fixed Effect | Effects Estimate | 95% C.I. | df | t | p(>|t|) |
|---|---|---|---|---|---|
| Intercept | 0.082 | 0.015–0.152 | 6.242 | 55.248 | <0.001 |
| Pre-Filter [iCa2+] | 0.751 | 0.558–0.942 | 3.710 | 8.095 | 0.002 |
| Patient | (Intercept) | 0.0023 | 0.048 | 18.5% | |
| Pre_Filt_iCa_mmol.L | 0.0220 | 0.148 | 57.2% | ||
| Circuit within Patient | (Intercept) | 0.0041 | 0.064 | 1.1% | |
| Pre_Filt_iCa_mmol.L | 0.0299 | 0.173 | 10.1% | ||
| Citrate.L_BLOOD.Hr | (Intercept) | 0.0002 | 0.014 | 0.5% | |
| Residual | NA | 0.0013 | 0.036 | 12.6% |
Fig 2Relationship of post and pre-filter iCa2+ samples grouped by: Full dataset (top), and by circuits nested within individual patient/anticoagulation strategy (bottom panels).
Trend line is fit from linear mixed Model 2A by each grouping; dotted line in lower panels utilises patient specific intercepts and slopes, a non-mixed effects trend line (Model 1) is also displayed. All outliers are included.
Fig 3Model 3 fit comparing iCa2+ by site and citrate dose by circuits nested within patients.
The fit for pre and post filter. β0 denotes model intercept, β1 denotes slope (iCa2+ decrement per unit increase in citrate dose). Quantile residual plots demonstrate variance of fit from normal curve. Fitted residuals (bottom right) graphically illustrate variance across measured observations and by site.