Association of continuous renal replacement therapy downtime with fluid balance gap and clinical outcomes: a retrospective cohort analysis utilizing EHR and machine data

Table 3 Association of patient and machine factors with %TTL

	β coefficient	95%CI
Age, per 1-year increase	− 0.05	− 0.09 to − 0.003
Male sex, vs. female	− 0.53	− 1.76 to 0.70
Black race, vs. other or unknown	1.46	− 3.09 to 6.00
White race, vs. other or unknown	− 0.03	− 4.05 to 3.99
CCI, per 1-point increase	0.14	− 0.08 to 0.36
SOFA score at CRRT initiation, per 1-point increase	0.18	− 0.02 to 0.37
MV at CRRT initiation	− 2.39	− 4.09 to − 0.69
Cardiac support device at CRRT initiation	− 0.88	− 2.94 to 1.18
%Fluid overload, per 1% increase	0.18	0.10 to 0.25
Access alarms, per 1-alarm increase	1.61	1.25 to 1.98
Return alarms, per 1-alarm increase	0.51	0.14 to 0.88
TMP alarms, per 1-alarm increase	− 1.22	− 4.34 to 1.89
FP alarms, per 1-alarm increase	1.75	0.03 to 3.46
Clotting alarms, per 1-alarm increase	3.46	− 2.11 to 9.03

Linear regression model with %TTL as the dependent variable as well as the factors shown in the table as independent variables was performed
%TTL, percent treatment time loss; CCI, Charlson comorbidity index; SOFA, sequential organ failure assessment; CRRT, continuous renal replacement therapy; MV, mechanical ventilation; TMP, transmembrane pressure; FP, filter pressure; FBgap, fluid balance gap; IQR, interquartile range

ISSN: 2052-0492