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Impact of hyperhydration on the mortality risk in critically ill patients admitted in intensive care units: comparison between bioelectrical impedance vector analysis and cumulative fluid balance…

Overview of attention for article published in Critical Care, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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53 X users
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1 Facebook page

Citations

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90 Dimensions

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152 Mendeley
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Title
Impact of hyperhydration on the mortality risk in critically ill patients admitted in intensive care units: comparison between bioelectrical impedance vector analysis and cumulative fluid balance recording
Published in
Critical Care, April 2016
DOI 10.1186/s13054-016-1269-6
Pubmed ID
Authors

Sara Samoni, Valentina Vigo, Luis Ignacio Bonilla Reséndiz, Gianluca Villa, Silvia De Rosa, Federico Nalesso, Fiorenza Ferrari, Mario Meola, Alessandra Brendolan, Paolo Malacarne, Francesco Forfori, Raffaele Bonato, Carlo Donadio, Claudio Ronco

Abstract

Studies have demonstrated a positive correlation between fluid overload (FO) and adverse outcomes in critically ill patients. The present study aims at defining the impact of hyperhydration on the Intensive Care Unit (ICU) mortality risk, comparing Bioelectrical Impedance Vector Analysis (BIVA) assessment with cumulative fluid balance (CFB) recording. We performed a prospective, dual-centre, clinician-blinded, observational study of consecutive patients admitted to ICU with an expected length of ICU stay of at least 72 hours. During observational period (72-120 hours), CFB was recorded and cumulative FO was calculated. At the admission and daily during the observational period, BIVA was performed. We considered FO between 5 % and 9.99 % as moderate and a FO ≥10 % as severe. According to BIVA hydration scale of lean body mass, patients were classified as normohydrated (>72.7 %-74.3 %), mild (>71 %-72.7 %), moderate (>69 %-71 %) and severe (≤69 %) dehydrated and mild (>74.3 %-81 %), moderate (>81 %-87 %) and severe (>87 %) hyperhydrated. Two multivariate logistic regression models were performed: the ICU mortality was the response variable, while the predictor variables were hyperhydration, measured by BIVA (BIVA model), and FO (FO model). A p-value <0.05 was considered to indicate statistical significance. One hundred and twenty-five patients were enrolled (mean age 64.8 ± 16.0 years, 65.6 % male). Five hundred and fifteen BIVA measurements were performed. The mean CFB recorded at the end of the observational period was 2.7 ± 4.1 L, while the maximum hydration of lean body mass estimated by BIVA was 83.67 ± 6.39 %. Severe hyperhydration measured by BIVA was the only variable found to be significantly associated with ICU mortality (OR 22.91; 95 % CI 2.38-220.07; p < 0.01). The hydration status measured by BIVA seems to predict mortality risk in ICU patients better than the conventional method of fluid balance recording. Moreover, it appears to be safe, easy to use and adequate for bedside evaluation. Randomized clinical trials with an adequate sample size are needed to validate the diagnostic properties of BIVA in the goal-directed fluid management of critically ill patients in ICU.

X Demographics

X Demographics

The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Italy 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 13%
Student > Master 20 13%
Other 15 10%
Student > Postgraduate 14 9%
Student > Ph. D. Student 11 7%
Other 33 22%
Unknown 39 26%
Readers by discipline Count As %
Medicine and Dentistry 74 49%
Nursing and Health Professions 13 9%
Engineering 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Agricultural and Biological Sciences 2 1%
Other 9 6%
Unknown 45 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2016.
All research outputs
#1,245,086
of 25,632,496 outputs
Outputs from Critical Care
#1,043
of 6,595 outputs
Outputs of similar age
#21,033
of 316,103 outputs
Outputs of similar age from Critical Care
#30
of 98 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.