Evidence map›Paper›PMID 36771356›Full record

ArticleNutrients2023

Combining Phenylalanine and Leucine Levels Predicts 30-Day Mortality in Critically Ill Patients Better than Traditional Risk Factors with Multicenter Validation.

Yi-Liang Tsou, Chao-Hung Wang, Wei-Siang Chen, Huang-Ping Wu, Min-Hui Liu, Hsuan-Ching Lin, Jung-Jung Chang, Meng-Shu Tsai, Tien-Yu Chen, Cheng-I Cheng and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
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

12 authors at 4 institutions in 1 country.

Yi-Liang TsouHeart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.ORCID 0000-0003-3454-1617
Chao-Hung WangHeart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.ORCID 0000-0001-5468-4354
Wei-Siang ChenHeart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.
Huang-Ping WuDivision of Pulmonary, Critical Care and Sleep Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.ORCID 0000-0002-8906-4566
Min-Hui LiuHeart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.
Hsuan-Ching LinHeart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.
Jung-Jung ChangDivision of Cardiovascular Disease, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.ORCID 0000-0001-7705-0290
Meng-Shu TsaiDivision of Cardiovascular Disease, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.
Tien-Yu ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan.
Cheng-I ChengSchool of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Jih-Kai YehDivision of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou 33305, Taiwan.
I-Chang HsiehDivision of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou 33305, Taiwan.
Chang Gung Memorial Hospital · TWChang Gung University · TWChiayi Chang Gung Memorial Hospital · TWKaohsiung Chang Gung Memorial Hospital · TW

Funding

Chang Gung Memorial Hospital CORPG2J0023, G2J0013, CMRPG2L0141, G2M0011, G2M0011Ministry of Science and Technology of Taiwan MOST109-2314-B-182-056-MY3
6 · The paper itself

Abstract

In critically ill patients, risk scores are used; however, they do not provide information for nutritional intervention. This study combined the levels of phenylalanine and leucine amino acids (PLA) to improve 30-day mortality prediction in intensive care unit (ICU) patients and to see whether PLA could help interpret the nutritional phases of critical illness. We recruited 676 patients with APACHE II scores ≥ 15 or intubated due to respiratory failure in ICUs, including 537 and 139 patients in the initiation and validation (multicenter) cohorts, respectively. In the initiation cohort, phenylalanine ≥ 88.5 μM (indicating metabolic disturbance) and leucine < 68.9 μM (indicating malnutrition) were associated with higher mortality rate. Based on different levels of phenylalanine and leucine, we developed PLA scores. In different models of multivariable analyses, PLA scores predicted 30-day mortality independent of traditional risk scores (

Indexed as

Critical IllnessNutritional StatusHumansLeucinePhenylalaninePolyestersRisk FactorsLeucinePhenylalaninePolyestersbiomarkersintensive careleucinephenylalanineprognosis

Identifiers

PMID36771356
PMCPMC9921772
OpenAlexW4318482463

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.