2018
DOI: 10.1016/j.jcrc.2018.03.016
|View full text |Cite
|
Sign up to set email alerts
|

Value of the combination of renal resistance index and central venous pressure in the early prediction of sepsis-induced acute kidney injury

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
18
0
2

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 39 publications
(22 citation statements)
references
References 35 publications
2
18
0
2
Order By: Relevance
“…The median RRI of 0.80 in patients with AKI in our population must be considered high in comparison but may partly be due to the large proportion of patients with AKI stage 3 at the time of RRI measurement. Notably, patients without AKI in our study had higher RRI (median 0.72) compared to non-AKI patients in ICU populations without COVID-19 where reported values typically are lower than 0.65 [12,14,25]. It is not clear if elevated RRI in patients without AKI but infected with SARS-CoV-2 is a result of the infection itself, or if it re ects severity of illness as indicated by the long length of ICU stay as well as the high incidence of mechanical ventilation and vasopressor use in our population.…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…The median RRI of 0.80 in patients with AKI in our population must be considered high in comparison but may partly be due to the large proportion of patients with AKI stage 3 at the time of RRI measurement. Notably, patients without AKI in our study had higher RRI (median 0.72) compared to non-AKI patients in ICU populations without COVID-19 where reported values typically are lower than 0.65 [12,14,25]. It is not clear if elevated RRI in patients without AKI but infected with SARS-CoV-2 is a result of the infection itself, or if it re ects severity of illness as indicated by the long length of ICU stay as well as the high incidence of mechanical ventilation and vasopressor use in our population.…”
Section: Discussionmentioning
confidence: 95%
“…Previous studies have in general focused on prediction of AKI from RRI measurements performed within the rst day of ICU admission [12,[14][15][16]23]. However, the ability of early RRI measurements to predict short-term AKI reversibility within three days recently has been challenged [32,33].…”
Section: Discussionmentioning
confidence: 99%
“…Resistive index (RI) is a parameter that not only indicates the absolute value of blood flow velocity but also reflects changes in Doppler waveforms [7] .Previous studies have shown that it has mainly been to evaluate blood flow to a target organ.The combination of renal RI and CVP was valuable in the early prediction for sepsis-induced AKI [20] . Lindsay R Clark et al found that index of cerebrovascular resistance is a potential vascular biomarker and it suggest that regionally-specific vascular changes may contribute to cognitive decline, particularly in the very-old [21] .But, RI can also associate with hemodynamics [9] .If RI could be used simply to quantify peripheral blood vessel resistance, based on a different perspective from that of cardiac output and oxygen saturation of mixed-venous blood,it could be an important parameter for circulation control.Because the waveforms obtained by the Doppler method are influenced by the angle between the ultrasound beam and blood flow direction,the incidence angle is critical in the Doppler analysis of blood flow, and an angle smaller than 60° is required to reduce the error to less than 20%.…”
Section: Discussionmentioning
confidence: 99%
“…For example, multivariate regression analysis has been used to retrospectively identify independent predictors of sepsis-associated AKI, which included demographic parameters such as age and clinical risk factors such as hypotension 97 . In another study, the combination of high central venous pressure and elevated renal resistive indices, as measured by ultrasound in patients with sepsis, was found to be a sensitive, early predictor of sepsis-associated AKI 95 . More recently, a pilot study combining sequential organ failure assessment scores and biomarker measurements (specifically, serum and urine NGAL) demonstrated the ability to predict AKI and mortality with good sensitivity and specificity 96 .…”
Section: Enrichment In Sepsis-associated Akimentioning
confidence: 94%
“…To date, few successful enrichment strategies have been proposed for the prediction of sepsis-associated AKI. Although the data remain sparse, existing attempts have utilized single biomarkers [85][86][87][88][89][90][91][92] , panels of known biomarkers 93 , microarray for the identification of novel candidate biomarkers 94 and clinical parameters [95][96][97] for AKI prediction and prognostic enrichment.…”
Section: Enrichment In Sepsis-associated Akimentioning
confidence: 99%