Evidence map›Paper›PMID 34652627›Full record

ArticleCurrent medical science2021

Effects of Branched-chain Amino Acids on Nutritional Metabolism and Pharmacoeconomics in Patients with Severe Abdominal Trauma.

Bin Xu, Di Wu, Jiang-Xia Xiang, Ying Zhang, Yi Ruan, Xiao Chen

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Article in Current medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

6 authors at 1 institution in 1 country.

Bin Xu *Department of Nuclear Medicine, Chongqing University Central Hospital, Chongqing, 400014, China.
Di Wu *Department of Pharmacy, Chongqing University Central Hospital, Chongqing, 400014, China.
Jiang-Xia XiangDepartment of Traumatology, Chongqing University Central Hospital, Chongqing, 400014, China.
Ying ZhangDepartment of Pharmacy, Chongqing University Central Hospital, Chongqing, 400014, China. 23770070@qq.com.
Yi RuanDepartment of Pharmacy, Chongqing University Central Hospital, Chongqing, 400014, China.
Xiao ChenDepartment of Pharmacy, Chongqing University Central Hospital, Chongqing, 400014, China.
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo observe the influences of branched-chain amino acids (BCAAs) on nutrition metabolism and prognosis of patients with severe abdominal trauma; at the same time, to analyze and evaluate the pharmacoeconomics of it.

methodsA total of 75 severe abdominal trauma patients were recruited from June 2016 to December 2017 and randomly divided into control group and observation group. After surgery and basic treatment, parenteral nutrition support therapy with iso-nitrogen and iso-calorie of both groups was administered. Meanwhile, an equivalent of 8.5% (18AA-II) and 10% (20AA) compound AA injection was administrated to the control and observation groups, respectively. The nitrogen balance, serum protein level and plasma amino spectrum of the patients were observed before and after treatment. Besides, the hospital stay, survival rate, complications, adverse reactions and hospitalization costs were also compared.

resultsAfter a 7-day course treatment, the nitrogen balance level of the two groups was significantly improved, but no significant difference was found between them. In addition, the serum protein level and plasma amino spectrum of the two groups was generally improved when compared to before treatment. Compared with the control group, the level of albumin and transferrin in the observation group was improved significantly after treatment, while no difference in plasma amino spectrum was found between the two groups. Moreover, the cost analysis showed remarkably reduced hospitalization costs in the observation group.

conclusionTo a certain degree, BCAAs could improve the nutritional metabolism and prognosis of patients with severe abdominal trauma, and have good cost-effectiveness.

Indexed as

Abdominal InjuriesAdultAgedAmino Acids, Branched-ChainEconomics, PharmaceuticalFemaleHumansLength of StayMaleMiddle AgedNitrogenParenteral NutritionRandom AllocationSerum Albumin, HumanSurvival AnalysisTransferrinAmino Acids, Branched-ChainNitrogenSerum Albumin, HumanTransferrinbranched-chain amino acidsnutrition metabolismpharmacoeconomicsprognosissevere abdominal trauma

Identifiers

PMID34652627
OpenAlexW3206321789

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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.