Evidence map›Paper›PMID 37812913›Full record

Observational studyAnnals of nutrition & metabolism2023

Explorative Clustering of the Nitrogen Balance Trajectory in Critically Ill Patients: A Preliminary post hoc Analysis of a Single-Center Prospective Observational Study.

Kensuke Nakamura, Kentaro Ogura, Hidehiko Nakano, Daisuke Ikechi, Masaki Mochizuki, Yuji Takahashi, Tadahiro Goto

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Annals of nutrition & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Kensuke NakamuraDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan.
Kentaro OguraTXP Medical Co., Ltd., Tokyo, Japan.
Hidehiko NakanoDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan.
Daisuke IkechiDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan.
Masaki MochizukiDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan.
Yuji TakahashiDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan.
Tadahiro GotoTXP Medical Co., Ltd., Tokyo, Japan.
Hitachi General Hospital · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe nitrogen balance estimates a protein net difference. However, since it has a number of limitations, it is important to consider the trajectory of the nitrogen balance in the clinical course of critically ill patients.

objectivesWe herein exploratively classified the nitrogen balance trajectory using a machine learning method.

methodThis is a post hoc analysis of a single-center prospective study for the patients admitted to our Emergency and Critical Center ICU. The nitrogen balance was evaluated with 24-h urine collection from ICU days 1-10 with 9 points. K-means clustering was performed to classify the nitrogen balance trajectory. We also evaluated factors associated with uncovered clusters.

resultsSeventy-six eligible patients were included in the present study. After clustering, the nitrogen balance trajectory was classified into 4 classes. Class 1 was trajected as a negative balance over 10 days (24 patients). Class 2 had a positive conversion on day 3 or 4 (8 patients). Class 3 had a positive conversion on day 8 or 9 (28 patients). Class 4 initially had a positive balance and then converted to a negative balance (16 patients). Sepsis complication and steroid use were associated with negative nitrogen balance trajectory. Class 2 was associated with lower length of hospital stay and femoral muscle volume loss, however, frequently had frailty and sarcopenia on admission. Active nutrition therapy intention was not correlated with positive trajectory.

conclusionsThe nitrogen balance trajectory in critically ill patients may be classified into 4 classes for clinical practice. Among patients emergently admitted to the ICU, the positive conversion of the nitrogen balance might be delayed over 10 days.

Indexed as

Critical IllnessNutritional SupportHumansIntensive Care UnitsLength of StayNitrogenProspective StudiesNitrogenCritical careK-meansMachine learningNitrogen balanceProtein

Identifiers

PMID37812913
PMCPMC10711758
OpenAlexW4387472384

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.