Literature DB >> 30825787

Serum albumin as a risk factor for death in patients with prolonged sepsis: An observational study.

Ryosuke Takegawa1, Daijiro Kabata2, Kentaro Shimizu3, Saya Hisano4, Hiroshi Ogura5, Ayumi Shintani4, Takeshi Shimazu6.   

Abstract

PURPOSE: The aim of this study was to evaluate an association between nutritional biomarkers and prognosis in septic patients.
METHODS: We retrospectively searched the association between nutritional biomarkers including serum albumin (Alb), total protein (TP), total cholesterol (T-chol), and cholinesterase (ChE), and prognosis for septic patients treated in the ICU for >7 days. We used time-dependent Cox proportional hazard regression analysis to resolve the difference of the statistical weight of each day's data for all 14 consecutive days among individual sepsis patients. The covariates were based on the minimum moving values determined from 1 day, 3 days, 7 days, and 14 days of serial data. The values of these covariates and ICU survival were considered as outcomes.
RESULTS: We included 136 septic patients. The decreases in the values of Alb, TP, T-chol, and ChE were significantly associated with the risk of death in the septic patients (p < .05). Especially, the daily changes of Alb were significantly associated with mortality during the ICU stay (p < .05).
CONCLUSIONS: We found that the changes in serial data of the nutritional markers of Alb, TP, T-chol, and ChE reflected the higher risk of death in patients with prolonged sepsis.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Albumin; Biomarkers; Prognosis; Sepsis; Time-dependent Cox proportional hazard regression analysis

Mesh:

Substances:

Year:  2019        PMID: 30825787     DOI: 10.1016/j.jcrc.2019.02.004

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  14 in total

1.  Construction and validation of an early warning model for predicting the acute kidney injury in elderly patients with sepsis.

Authors:  Qi Xin; Tonghui Xie; Rui Chen; Hai Wang; Xing Zhang; Shufeng Wang; Chang Liu; Jingyao Zhang
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2.  Predictors of Acute Liver Failure in Patients With Acute Hepatitis A: An Analysis of the 2016-2018 San Diego County Hepatitis A Outbreak.

Authors:  Aiyang A Jiang; Holly S Greenwald; Lamiya Sheikh; Darcy A Wooten; Atul Malhotra; Robert T Schooley; Daniel A Sweeney
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3.  Low Absolute Eosinophil Count Predicts In-Hospital Mortality in Cirrhosis With Systemic Inflammatory Response Syndrome.

Authors:  Varsha Wilson; Kunnothara Kantan Velayudhan; Harshavardhan Rao; Sheejamol Velickakathu Sukumaran
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Authors:  Olivier Ballo; Fagr Eladly; Stefan Büttner; Jan Alexander Stratmann; Sarah Rudolf; Uta Brunnberg; Eva-Maria Kreisel; Björn Steffen; Sebastian Wagner; Fabian Finkelmeier; Hubert Serve; Christian H Brandts
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6.  Risk factor analysis and nomogram for predicting in-hospital mortality in ICU patients with sepsis and lung infection.

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Review 7.  Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review.

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Journal:  Crit Care       Date:  2022-01-06       Impact factor: 9.097

8.  Synergistic effect of hypoalbuminaemia and hypotension in predicting in-hospital mortality and intensive care admission: a retrospective cohort study.

Authors:  Eyal Klang; Shelly Soffer; Eyal Zimlichman; Alexis Zebrowski; Benjamin S Glicksberg; E Grossman; David L Reich; Robert Freeman; Matthew A Levin
Journal:  BMJ Open       Date:  2021-10-27       Impact factor: 3.006

9.  Serum albumin and FT3/FT4 ratio as additional co-morbidity parameters to predict mortality as a new approach: The Haseki Scoring Index (updated Charlson Comorbidity Index).

Authors:  Betul Cavusoglu Turker; Fatih Turker; Suleyman Ahbab; Emre Hoca; Meryem Tahmaz; Hayriye Esra Ataoğlu
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10.  Clinical Usefulness of Red Cell Distribution Width/Albumin Ratio to Discriminate 28-Day Mortality in Critically Ill Patients with Pneumonia Receiving Invasive Mechanical Ventilation, Compared with Lacate/Albumin Ratio: A Retrospective Cohort Study.

Authors:  Jong Hwan Jeong; Manbong Heo; Seung Jun Lee; Yi Yeong Jeong; Jong Deog Lee; Jung-Wan Yoo
Journal:  Diagnostics (Basel)       Date:  2021-12-13
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